Noticias

Tackling Insomnia Via Generative AI And ChatGPT

Published

6 meses ago

2 noviembre, 2024

Insomnia is quite a beast — modern-times generative AI is seeking to tame the sleeping difficulties … [+] and overcome your sleeping disorders.

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Insomnia is an eye-opening problem (pardon the pun!).

There is no doubt that insomnia is a highly serious challenge. Being unable to sleep is certainly a disconcerting and most pressing issue that we all have faced. From time to time, it seems that bouts of sleep deprivation are bound to strike any of us in this hectic world we live in. Work pressures, family issues, and the general sense of the planet being on edge are enough to wreck our sleep patterns.

What you might not be aware of is that an estimated 10% to possibly 30% of adults are at some point in time dealing with chronic insomnia. This is far beyond occasional or episodic insomnia. Chronic insomnia is typically classified as a disorder, reflecting the seriousness and severity that it can inflict on your physical body and your mental well-being.

There are lots of suggested ways to cope with insomnia.

I bet you’ve heard, seen, and possibly tried many. Some say that you can mentally will yourself out of insomnia. Various therapeutic techniques purport to do so. Rarely are you able to do this entirely on your own. It is customary to seek out professional mental health guidance. In addition, medications sometimes can play an important role too, though you should be cautious about taking medications unless you’ve got a suitably prescribed approach.

Let’s go ahead and add another option for tackling insomnia.

Are you sitting down and ready for what it is?

Okay, the option is generative AI.

That’s right, include generative AI such as ChatGPT, GPT-4, Claude, Gemini, and other popular generative AI apps on your list of presumed solution possibilities for conquering insomnia. A vital point to clarify is that generative AI should not be overstated or classified as a remedy or cure per se. It is simply another tool in the toolbox of ways to combat and defeat insomnia. No silver bullet on this front.

I trust that you are intrigued about how generative AI in some sensible manner can be utilized to cope with insomnia. I am quite glad that you asked, thanks.

I will walk you through essential background about insomnia and dovetail how generative AI enters newly into the picture. The aim is to be informative, reveal something you probably didn’t know, and showcase that modern-day generative AI is worthy of being included in any regimen or method of coping with insomnia.

Before we leap into the details, allow me to go into my customary opening remarks.

For my ongoing readers, in today’s column, I am continuing my in-depth series about the impact of generative AI in the health and medical realm. The focus this time is once again on the mental health domain and examines the use of generative AI for coping with insomnia.

I have previously examined numerous interleaving facets of generative AI and mental health, see my comprehensive overview at the link here. You might also find of notable interest a CBS 60 Minutes episode that recently examined crucial facets of this evolving topic, see the link here (I am honored and pleased to indicate that I was featured in the episode, see the link here).

Other vital background includes my in-depth coverage of mental health chatbots which have been bolstered by generative AI (see the link here) and the rapidly changing nature of the client-therapist relationship due to generative AI at the link here. I explored where things are headed regarding the levels of AI-based mental therapy autonomous guidance at the link here, and showcased the importance of the World Health Organization (WHO) report on global health and generative AI at the link here, and so on.

Research On Insomnia Tells Quite A Story

We shall begin by taking a quick glimpse at some key timely research covering insomnia.

An esteemed medical journal recently explored the latest research and insights about insomnia, doing so in a published paper entitled “Management of Insomnia” by Charles Morin and Daniel J. Buysse, The New England Journal Of Medicine, July 2024. Here are some key points (excerpts):

“Insomnia disorder is characterized by dissatisfaction with sleep quality or duration associated with difficulty falling or staying asleep and substantial distress or daytime impairments.”
“The disorder is a sleep disturbance that occurs 3 nights or more per week, persists for more than 3 months, and is not the result of inadequate opportunities for sleep.”
“It frequently co-occurs with other medical conditions (e.g., pain) and psychiatric disorders (e.g., depression), as well as other sleep disorders (e.g., restless legs syndrome and sleep apnea).”
“Insomnia is the most prevalent sleep disorder in the general population and among the most frequent issues raised by patients during primary care visits, although it often goes untreated. Approximately 10% of adults meet the criteria for insomnia disorder and another 15 to 20% report occasional insomnia symptoms.”
“Current treatment options for insomnia include prescribed and over-the-counter medications, psychological and behavioral therapies (also referred to as cognitive behavioral therapy for insomnia [CBT-I]), and complementary and alternative therapies.”

You might closely observe that when sleep is a disorder there is a qualitative and quantitative measurement involved, such as the second point above noting that a considered severe or chronic sleep disturbance occurs at least 3 nights per week and persists for 3 months or more. That’s the really rough-and-tumble side of insomnia.

The fourth bullet point reveals an aspect that you might find surprising.

According to the researchers, when patients visit their primary care physician, sleep issues are a frequently cited concern by the patient. Have you done the same? Meanwhile, lamentedly, sleep difficulties tend to be less likely viewed as something for treatment, unless the lack of sleep has already risen to a debilitating level. Some would argue that this is the classic oversight of trying to catch the horse after it is already out of the barn.

The fifth bullet point mentions that besides medications, various psychological and behavioral therapies are often employed. One that gets the most attention is known as CBT-I, cognitive behavioral therapy for insomnia. I’ll be saying more about this in a moment.

CBT-I used to be mainly done via in-person visits with a mental health professional or clinician. Nowadays, in our online world, the use of remote options exists, including apps or digital CBT-I which is typically referred to as eCBT-I.

There are specialized apps that are built specifically to guide you via the precepts of CBT-I. Other times, a mental health app will cover a variety of behavioral realms and happen to include CBT-I amid the many others via the app. Another possibility is using eCBT-I in conjunction with a mental health professional, such that you are presumably getting the best of both worlds.

The cited research paper provides a handy set of details about the range of psychological and behavioral therapies for patients with insomnia, and identifies these major areas:

Sleep restriction
Stimulus control
Relaxation training
Cognitive therapy
Sleep hygiene education
Acceptance and commitment therapy
Mindfulness
Brief behavioral treatments for insomnia

Not only do eCBT-I specialized apps tend to cover those areas, but you might be pleasantly surprised to know that generic generative AI can usually provide similar capabilities. For my extensive coverage of how generic generative AI for mental health use is different from and at times similar to specialized mental health apps, see the link here and the link here, just to mention a few.

I will in a moment walk you through the use of modern-day generative AI for serving as a handy tool for coping with insomnia.

First, let’s talk in general about generative AI and large language models (LLMs), doing so to make sure we are on the same page when it comes to discussing the matter at hand.

Generative AI And Tackling Of Insomnia

I’m sure you’ve heard of generative AI, the darling of the tech field these days.

Perhaps you’ve used a generative AI app, such as the popular ones of ChatGPT, GPT-4o, Gemini, Bard, Claude, etc. The crux is that generative AI can take input from your text-entered prompts and produce or generate a response that seems quite fluent. This is a vast overturning of the old-time natural language processing (NLP) that used to be stilted and awkward to use, which has been shifted into a new version of NLP fluency of an at times startling or amazing caliber.

The customary means of achieving modern generative AI involves using a large language model or LLM as the key underpinning.

In brief, a computer-based model of human language is established that in the large has a large-scale data structure and does massive-scale pattern-matching via a large volume of data used for initial data training. The data is typically found by extensively scanning the Internet for lots and lots of essays, blogs, poems, narratives, and the like. The mathematical and computational pattern-matching homes in on how humans write, and then henceforth generates responses to posed questions by leveraging those identified patterns. It is said to be mimicking the writing of humans.

I think that is sufficient for the moment as a quickie backgrounder. Take a look at my extensive coverage of the technical underpinnings of generative AI and LLMs at the link here and the link here, just to name a few.

Back to the crux of things.

As you might imagine, generative AI can be handy for aiding those who are concerned about insomnia overall. This includes a wide array of stakeholders, including adults, children, therapists, policymakers, regulators, and many others.

Here are some significant ways that generative AI can be useful:

(1) Generative AI – Insomnia Detection. Generative AI can potentially detect that someone seems to have insomnia or might be heading in that direction.
(2) Generative AI – Insomnia Mental Health Advisement. Generative AI can conversationally guide someone through the mental health dynamics of insomnia and serve as a kind of therapist in a limited way.
(3) Generative AI – Insomnia Education. Generative AI can educate people about insomnia, such as explaining what insomnia is, what to do about insomnia, etc.
(4) Generative AI – Scenario Simulation Of Insomnia Impacts. Generative AI can showcase what insomnia can do in terms of mental health ramifications arising due to insomnia, doing so by taking on or simulating a persona, see examples of generative AI persona usage at the link here.
(5) Generative AI – Policymaking On Insomnia. Generative AI can contribute to the policymaking sphere about insomnia from a medical/legal perspective. This can be done by aiding in crafting policies, reviewing policies, and serving as a handy tool throughout the policymaking process.
(6) Generative AI – Other Insomnia Aspects. Generative AI can be used in a variety of other ways that might aid in dealing with insomnia, though there is always a chance that generative AI won’t be helpful, or worse still, might be misapplied and misinterpreted.

That’s an impressive array of potential uses.

Allow me a brief moment to stand on a soapbox and make some important remarks about the mental health uses of generative AI. It is a topic I’ve been covering extensively, such as the link here and the link here.

We are right now in a somewhat wanton grand experiment of using generic generative AI for mental health purposes. Insomnia is one instance of how generative AI can be applied for mental health advisement. The thing is, no one can say whether using generic generative AI for mental health uses will ultimately be for the good or the bad. In a sense, we have mental health advisement via the auspices of generative AI that is taking place under our noses at a massive scale, and we can’t say how it will pan out.

The population-level impacts are either amazing or chilling.

Okay, I provided my warnings, so I’ll get down from the soapbox, and we can proceed with considering the upsides and downsides of generative AI in this realm.

Using ChatGPT To Showcase The Use Of Generative AI

I will next proceed to examine further the use of generative AI for insomnia.

This will consist of a series of dialogues with ChatGPT. ChatGPT is a logical choice in this case due to its immense popularity as a generative AI app. As noted, an estimated one hundred million weekly active users are said to be utilizing ChatGPT. That’s a lot of people and a lot of generative AI usage underway.

A few quick comments before we launch into using ChatGPT.

If you are going to try to do the same prompts that I show here, realize that the probabilistic and statistical properties will likely produce slightly different results than what I show here. That’s the nature of generative AI and how it is devised.

You also should expect that different generative AI apps will respond in different ways. Not all generative AI apps are the same. The key is that sometimes a particular prompt will work in one generative AI app and not another. Nonetheless, the odds are relatively high that you will get roughly similar responses from all the major generative AI apps such as GPT-4, Gemini, Bard, Claude, etc.

There is also a timing factor to be considered. A prompt that worked today might not work the same way tomorrow. Most of the generative AI apps are continually being updated. The updates might alter internal mechanisms that could change how the generative AI reacts to your prompting.

We are ready to get underway with ChatGPT.

I opted to start by asking ChatGPT what insomnia is.

As an aside, whenever you are starting a conversation with generative AI, I recommend as a prompt engineering technique to begin by asking a question that will establish if the AI has been data-trained on the topic at hand. A generated response that is vacuous will give you a heads-up that you might be barking up the wrong tree with that generative AI app.

Here we go.

My entered prompt: “What is insomnia?”
ChatGPT generated response: “Insomnia is a sleep disorder characterized by difficulty falling asleep, staying asleep, or getting restful sleep, leading to daytime fatigue and impairment.”

I’d say that the response by ChatGPT was an apt description, short and to the point.

That’s an encouraging sign that ChatGPT has likely scanned the topic during the initial data training phase of development. This makes indubitable sense. The odds are that while scanning the Internet for content to pattern match on, invariably content associated with the popular topic would have been encountered.

Moving on, let’s see what ChatGPT has to say about some deeper facets.

My entered prompt: “How prevalent is insomnia? And what are potential mental health problems that can arise due to insomnia?”
ChatGPT generated response:

“Insomnia is a common sleep disorder affecting a significant portion of the population. Research indicates that approximately 10-30% of adults experience chronic insomnia, with some studies suggesting prevalence rates as high as 50-60% for occasional insomnia. Insomnia is more prevalent among women and older adults. For instance, up to 50% of elderly people may suffer from insomnia.”

“Insomnia can have several negative impacts on mental health, including:”

“Depression: Chronic insomnia is strongly associated with an increased risk of developing depression. Individuals with insomnia are ten times more likely to develop depression compared to those without sleep issues.”

“Anxiety: Insomnia can exacerbate anxiety disorders. Lack of sleep can heighten anxiety symptoms and make it more difficult for individuals to cope with stress.”

“Cognitive Impairments: Persistent insomnia can lead to problems with concentration, memory, and decision-making, which can affect daily functioning and work performance.”

“Mood Disorders: Insomnia can cause mood swings and irritability. The lack of restorative sleep can affect emotional regulation and lead to mood disorders.”

“Substance Abuse: People with insomnia might turn to alcohol or other substances as a means to induce sleep, leading to potential substance abuse and dependency issues.”

“Addressing insomnia through behavioral interventions, cognitive-behavioral therapy for insomnia (CBT-I), and, when necessary, medication can help mitigate these mental health risks.”

End of ChatGPT response

The response by ChatGPT is solid.

I say this because it is vital to always double-check any output from generative AI. There is a chance that generative AI can make up fictitious facts, often referred to as AI hallucinations, see my coverage at the link here. In this case, based on the literature on insomnia, the indications by ChatGPT are sound.

We are now ready to ask the zillion-dollar question.

My entered prompt: “Can generative AI help someone cope with insomnia?”
ChatGPT generated response:

“Yes, generative AI can help someone cope with insomnia by providing personalized relaxation techniques, sleep hygiene tips, and generating calming content such as bedtime stories or soothing sounds. It can also offer cognitive behavioral therapy (CBT) strategies to address underlying thoughts and behaviors contributing to insomnia.”

“Here are some specific ways generative AI can help cope with insomnia:”

“Personalized Sleep Hygiene Tips: AI can analyze individual sleep patterns and suggest personalized routines to improve sleep quality, such as optimal bedtime, wake-up times, and pre-sleep activities.”

“Guided Relaxation and Meditation: Generative AI can create custom guided meditations or relaxation exercises to help calm the mind before sleep.”

“Calming Content Generation: AI can generate bedtime stories, white noise, or soothing music tailored to individual preferences, promoting a more relaxing sleep environment.”

“Cognitive Behavioral Therapy for Insomnia (CBT-I): AI can provide interactive CBT-I sessions, helping users identify and change thoughts and behaviors that negatively impact sleep.”

“Sleep Tracking and Analysis: AI-powered apps can track sleep patterns and provide insights and recommendations based on the data collected.”

“Stress and Anxiety Management: AI can offer tools and exercises to manage stress and anxiety, which are common contributors to insomnia.”

“Virtual Sleep Coaches: AI can act as a virtual sleep coach, offering ongoing support and adjustments to sleep strategies as needed.”

End of ChatGPT response

I believe that to be a handy list of the ways that generative AI can be beneficial in coping with insomnia. The list generally comports with my list, shown earlier, though providing a more detailed look at the topic.

Doing A Therapeutic Dialogue With ChatGPT About Insomnia

I’ve used generative AI for nearly all the listed approaches, having done so not for personally having insomnia but as a tryout of generative AI for said therapeutic purposes. I will go ahead and show you a sample dialogue to give you a sense of what this kind of usage consists of. Note that I will be pretending to have insomnia.

Here we go.

My entered prompt: “I’ve been having trouble sleeping lately. Can you help me?”
ChatGPT generated response: “Of course! I’m here to help. Can you describe your sleep difficulties? Are you having trouble falling asleep, staying asleep, or both?”
My entered prompt: “Mostly falling asleep. I just can’t seem to shut my mind off at night.”
ChatGPT generated response: “That sounds frustrating. Let’s start with some relaxation techniques. Would you like to try a guided meditation or some breathing exercises?”

I’d like you to observe some key facets shown via this dialogue.

First, you might have noticed that generative AI goes along with my remark that I am having trouble sleeping. A fellow human might right away doubt you or otherwise not take seriously your expressed concern. In a sense, you could say I am being heard by ChatGPT. Happy face.

Second, I was right away asked useful probing questions.

The initial question was a broad one. The accompanying question was more specific, namely asking about whether I had trouble falling asleep, staying asleep, or both. This one-two punch using a general question in combination with a more specific question is a great way to get someone to suitably respond. You see, if you ask only a general question, you are bound to get a general answer. If you ask only a more specific question, you might be diving too fast into the depths of the matter. Having both questions posed is a good approach.

Third, after I gave my answer, an expression of empathy was given (“That sounds frustrating”), which is an important means of getting the person to further open up. For my analysis of how generative AI can appear to be empathetic, see my analyses at the link here and the link here.

Let’s see what happens next.

My entered prompt: “A guided meditation sounds good.”
ChatGPT generated response: “Great! Here’s a short, guided meditation to help you relax and prepare for sleep…” [Note: I’ve clipped the dialogue for space purposes].
My entered prompt: “Thanks, that was helpful. What else do you advise?”
ChatGPT generated response: “Next, let’s work on your bedtime routine. Do you have any habits before bed, like using screens or consuming caffeine?”
My entered response: “I often use my smartphone before bed, and I drink coffee in the afternoon.”
ChatGPT generated response: “Using screens can interfere with sleep. Try to put away your smartphone at least an hour before bed. Also, consider switching to a decaf coffee or avoiding caffeine after noon. How does that sound?”
My entered response: “I can give that a try.”

The dialogue went on for quite a while.

I am cutting it there for space purposes herein. You can readily try the same type of conversation by creating an account in a generative AI app and proceeding as I’ve demonstrated.

Be Mindful And Cautious In Your Use Of Generative AI

Do not falsely assume that generative AI will be a silver bullet for dealing with insomnia.

Besides the fact that you are interacting with a generic AI system rather than a mental health professional, there are other potential issues to keep in mind.

Let’s get generative AI to fess up to those concerns.

My entered prompt: Might the use of generative AI for coping with insomnia have any drawbacks or downsides?”
ChatGPT generated response:

“Yes, there are potential drawbacks and downsides to using generative AI for coping with insomnia.”

“Over-Reliance: Users might become too dependent on AI for sleep support, which could hinder their ability to develop and maintain healthy sleep habits independently.”

“Privacy Concerns: AI systems often require personal data to provide tailored advice. This data collection can raise privacy and security issues if not properly managed.”

“Effectiveness: AI interventions might not be as effective as personalized treatment from a healthcare professional, especially for complex or severe cases of insomnia.”

“Generalization: AI-generated advice may not always account for individual nuances and might offer generalized solutions that don’t fully address specific needs.”

“Lack of Human Touch: AI lacks the empathy and understanding that a human therapist or counselor can provide, which may be crucial for some individuals dealing with insomnia.”

“Potential Misinformation: AI systems can sometimes provide incorrect or outdated information, which could negatively impact sleep hygiene or overall health.”

End of ChatGPT response

I wholeheartedly agree with those stated downsides.

Consider this mindfully.

For example, please do not tell someone to use generative AI for insomnia without also mentioning and cautioning about the downsides. People going on this path need to be fully informed about what generative AI can and cannot do.

One aspect that was mentioned consists of privacy or the lack thereof.

A lot of people seem to think that when they use generative AI, they are guaranteed total privacy and confidentiality. This is a highly unlikely assumption. The licensing agreements usually say that the AI maker can readily access your prompts and anything else that you’ve entered into the generative AI app. Furthermore, the licensing typically indicates that they can use your entered content as an additional form of data training for the AI. See my detailed discussion on this disconcerting matter of privacy intrusions and what to watch out for, at the link here.

Conclusion

Congratulations, you are now up-to-speed about the use of generative AI for coping with insomnia.

There is still a long way to go on this topic. The clever idea of applying modern-day generative AI to aid in overcoming insomnia is only in its infancy. Join in and help advance the research in this budding and promising realm. You can make a difference.

There are controversies afoot and grand challenges ahead.

For example, some would fervently insist that no one should ever turn to generative AI for this purpose unless they are doing so under the vaunted guidance of a mental health professional. What do you think? For now, you get to be the judge. See my discussion on the latest in coupling human-based therapy with AI-based therapy to know more about the ins and outs involved, at the link here.

A final remark or two for now.

F. Scott Fitzgerald famously said, “The worst thing in the world is to try to sleep and not to.” I dare say that most of us have learned that lesson the hard way. Even if you don’t have chronic insomnia, the occasional episodic insomnia due to say jet lag can be seemingly unbearable. Sleep is vital.

Let’s end the discussion with some revered Shakespeare: “O sleep, O gentle sleep, Nature’s soft nurse, how have I frightened thee. That thou no more will weigh my eyelids down.”

Maybe a bit of poetry will help with this, and I wish you all the best in your everyday and much-needed sleeping endeavors.

Noticias

Popular AIS cara a cabeza: OpenAi vence a Deepseek en el razonamiento a nivel de oración

Published

2 horas ago

25 abril, 2025

Sergio Villanueva

Escrito por Manas Gaur, profesor asistente en Informática e Ingeniería Eléctrica, UMBC

Chatgpt y otros chatbots de IA basados en modelos de idiomas grandes se sabe que ocasionalmente inventa cosas, incluidas las citas científicas y legales. Resulta que medir cuán precisas son las citas de un modelo AI es una buena manera de evaluar las habilidades de razonamiento del modelo.

Un modelo de IA “razones” descomponiendo una consulta en pasos y trabajando a través de ellos en orden. Piense en cómo aprendió a resolver problemas de palabras matemáticas en la escuela.

Idealmente, para generar citas, un modelo de IA comprendería los conceptos clave en un documento, generaría una lista clasificada de documentos relevantes para citar y proporcionaría un razonamiento convincente sobre cómo cada documento sugerido respalda el texto correspondiente. Destacará las conexiones específicas entre el texto y la investigación citada, aclarando por qué cada fuente importa.

La pregunta es, ¿se puede confiar en los modelos de hoy para hacer estas conexiones y proporcionar un razonamiento claro que justifique sus elecciones de origen? La respuesta va más allá de la precisión de las citas para abordar cuán útiles y precisos son los modelos de lenguaje grande para cualquier propósito de recuperación de información.

Soy un informático. Mis colegas, investigadores del Instituto AI de la Universidad de Carolina del Sur, la Universidad Estatal de Ohio y el Condado de Baltimore del Condado de Baltimore, y he desarrollado las razones de referencia para probar qué tan bien modelos de idiomas pueden generar automáticamente citas de investigación y proporcionar un razonamiento comprensible.

Utilizamos el punto de referencia para comparar el rendimiento de dos modelos de razonamiento de IA populares, Deepseek’s R1 y OpenAI’s O1. Aunque Deepseek fue en los titulares con su impresionante eficiencia y rentabilidad, el advenedizo chino tiene un camino por recorrer para que coincida con el rendimiento de razonamiento de OpenAI.

Oración específica

La precisión de las citas tiene mucho que ver con si el modelo AI está razonando sobre la información a nivel de oración en lugar del párrafo o a nivel de documentos. Se puede considerar que las citas a nivel de párrafo y a nivel de documentos arrojan una gran parte de la información a un modelo de idioma grande y le piden que proporcione muchas citas.

En este proceso, el modelo de lenguaje grande se generaliza e incorporan las oraciones individuales. El usuario termina con citas que explican todo el párrafo o documento, no la información de grano relativamente fino en la oración.

Además, el razonamiento sufre cuando le pide al modelo de idioma grande que lea un documento completo. Estos modelos se basan principalmente en memorizar patrones que típicamente son mejores para encontrar al principio y al final de los textos más largos que en el medio. Esto les dificulta comprender completamente toda la información importante a lo largo de un documento largo.

Los modelos de idiomas grandes se confunden porque los párrafos y documentos tienen mucha información, lo que afecta la generación de citas y el proceso de razonamiento. En consecuencia, el razonamiento de los modelos de idiomas grandes sobre los párrafos y los documentos se vuelve más como resumir o parafrasear.

Las razones por las que Benchmark aborde esta debilidad al examinar la generación y el razonamiento de las citas de los modelos de idiomas grandes.

https://www.youtube.com/watch?v=kqzzymhre0u

Cómo Deepseek R1 y OpenAI O1 se comparan generalmente con los problemas lógicos.

Prueba de citas y razonamiento

Tras el lanzamiento de Deepseek R1 en enero de 2025, queríamos examinar su precisión en la generación de citas y su calidad de razonamiento y compararlo con el modelo O1 de OpenAI. Creamos un párrafo que tenía oraciones de diferentes fuentes, dio a los modelos oraciones individuales de este párrafo y pedimos citas y razonamiento.

Para comenzar nuestra prueba, desarrollamos un pequeño lecho de prueba de aproximadamente 4,100 artículos de investigación alrededor de cuatro temas clave que están relacionados con el cerebro humano y la informática: neuronas y cognición, interacción humana-computadora, bases de datos e inteligencia artificial. Evaluamos los modelos utilizando dos medidas: la puntuación F-1, que mide cuán precisa es la cita proporcionada, y la tasa de alucinación, que mide cuán sonido es el razonamiento del modelo, es decir, con qué frecuencia produce una respuesta inexacta o engañosa.

Nuestras pruebas revelaron diferencias de rendimiento significativas entre OpenAI O1 y Deepseek R1 en diferentes dominios científicos. El O1 de OpenAI conectó bien la información entre los diferentes sujetos, como comprender cómo la investigación sobre neuronas y cognición se conecta con la interacción humana y la computadora y luego con los conceptos en inteligencia artificial, sin dejar de ser precisa. Sus métricas de rendimiento superaron constantemente a Deepseek R1 en todas las categorías de evaluación, especialmente para reducir las alucinaciones y completar con éxito las tareas asignadas.

Operai O1 fue mejor para combinar ideas semánticamente, mientras que R1 se centró en asegurarse de que generara una respuesta para cada tarea de atribución, lo que a su vez aumentó la alucinación durante el razonamiento. Openai O1 tenía una tasa de alucinación de aproximadamente 35% en comparación con la tasa de Deepseek R1 de casi el 85% en la tarea de razonamiento basada en la atribución.

En términos de precisión y competencia lingüística, Openai O1 obtuvo alrededor de 0.65 en la prueba F-1, lo que significa que era correcto aproximadamente el 65% del tiempo al responder preguntas. También obtuvo alrededor de 0.70 en la prueba BLEU, que mide qué tan bien un modelo de lenguaje escribe en lenguaje natural. Estos son puntajes bastante buenos.

Deepseek R1 obtuvo un puntaje más bajo, con aproximadamente 0.35 en la prueba F-1, lo que significa que era correcto aproximadamente el 35% del tiempo. Sin embargo, su puntaje Bleu fue solo alrededor de 0.2, lo que significa que su escritura no era tan natural como la O1 de OpenAI. Esto muestra que O1 fue mejor al presentar esa información en un lenguaje claro y natural.

OpenAi tiene la ventaja

En otros puntos de referencia, Deepseek R1 se desempeña a la par con OpenAi O1 en tareas de matemáticas, codificación y razonamiento científico. Pero la diferencia sustancial en nuestro punto de referencia sugiere que O1 proporciona información más confiable, mientras que R1 lucha con la consistencia objetiva.

Aunque incluimos otros modelos en nuestras pruebas integrales, la brecha de rendimiento entre O1 y R1 resalta específicamente el panorama competitivo actual en el desarrollo de IA, con la oferta de OpenAI que mantiene una ventaja significativa en las capacidades de razonamiento e integración del conocimiento.

Estos resultados sugieren que OpenAi todavía tiene una ventaja cuando se trata de atribución y razonamiento de origen, posiblemente debido a la naturaleza y el volumen de los datos en los que fue entrenado. La compañía anunció recientemente su herramienta de investigación profunda, que puede crear informes con citas, hacer preguntas de seguimiento y proporcionar razonamiento para la respuesta generada.

El jurado todavía está en el valor de la herramienta para los investigadores, pero la advertencia permanece para todos: verifique todas las citas que le brinda una IA.

Este artículo se vuelve a publicar de la conversación bajo una licencia Creative Commons. Lea el artículo original y vea más de 250 artículos UMBC disponibles en la conversación.

Etiquetas: coeit, investigación, la conversación

Noticias

Mujer embarazada preguntó a Chatgpt sobre un síntoma extraño. Le salva la vida de ella y su bebé.

Published

6 horas ago

25 abril, 2025

Sergio Villanueva

Hace unas semanas me encontré con un artículo sobre un niño que ve televisión a una velocidad de 1.5x para que pueda acumular tanta visualización posible. Parecía que su deseo insonorable de superar programas en la era de oro de la televisión significaba que sacrificaría el valor de entretenimiento del programa solo para llegar al final.

“Hombre, este tipo habría sido crucificado en 1993”, pensé.

Como miembro de la Generación X de 45 años de edad (los nacidos entre 1965 y 1979), recordé un momento en que nadie se jactó de la cantidad de televisión que vieron. De hecho, se jactaron de no ser dueño de un televisor. “No veo televisión, hombre”, decía la gente. “Solo existe venderte cosas”.

Esta reversión completa de la aceptación social de la visualización de televisión glotón me hizo preguntarme qué pasó con los valores en los que nos recaudamos como Gen Xers.

Trae la tecnología que fue la combinación perfecta de digital y analógico.Sean Eyre/Flickr

Nos enseñaron que la sinceridad era para simplificadores, todo lo corporativo es malvado, la vieja escuela siempre es mejor que la última y mejor, la autenticidad es el rey, la conformidad es la muerte y no hay nada peor que ser una venta o un poser.

Nadie se habría referido a sí mismos como un “influencer” en 1991, esa es la definición de una venta de venta.

“Después de escribir este libro, estoy de vuelta en la mentalidad del pensamiento de los 90, que es que nada es peor que vender”, dijo Chuck Klosterman, autor de “The Nineties: A Book”, dijo a Esquire. “Nada fue más vergonzoso en los años 90 que tratar de convencer a la gente de que le guste lo que hiciste”.

En el fondo del corazón de casi todos los Gen Xer hay un sentimiento profundamente arraigado de nihilismo. No confiamos en las corporaciones que despedieron a nuestros padres o destriparon sus pensiones en los años 80. De hecho, todo lo corporativo era depredador. No teníamos mucha fe en los valores familiares porque fuimos la primera generación criada por padres solteros o en la guardería. Tampoco nos importó mucho la política. En los años 90, la aversión a la política de la Generación X fue histórica.

Por supuesto, todas estas son generalidades sobre una generación de casi unos 65 millones de personas, pero los estudios muestran que hay algunos sellos definitivos de ser un Gen Xer.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Traer de vuelta no ser una venta de venta.Gifabia

Según un documento de diferencias generacionales distribuido a través de la comunidad empresarial, los valores fundamentales de la Generación X son “escepticismo”, “diversión” e “informalidad”. Se describen como “autosuficientes”, “independientes”, “no impresionados con autoridad” y motivados por la “libertad”.

En el joven Gen Xer, la cultura de la época “inculcó una cautela y escepticismo, y una especie de mentalidad de ‘resolverlo por ti mismo'”, dijo Paul Taylor, autor de “The Next America: Boomers, Millennials y The Looming Generational Showdown”, al Washington Post. Y con eso vino una sensación “que no tienes que iluminarte. No eres el centro del universo”.

Pero las cosas han cambiado desde los años 90 cuando la Generación X tenía la mayoría de edad. Vivimos en una cultura estadounidense que se fractura por el partidismo político, alimentada por una cultura constante de indignación, paralizada por una preocupación por la tecnología, saqueada por los codiciosos boomers y molestos por los millennials demasiado sensibles. Todo esto está sucediendo mientras enfrentamos el mayor desafío de nuestros tiempos, el cambio climático.

La respuesta a todos estos problemas es simple: admite que la Generación X en un momento lo tenía bien y si seguimos su liderazgo, podríamos revertir estas tendencias terribles. Ok, podría no arreglar todos nuestros problemas, pero la forma en que las cosas van ahora seguramente no funcionan. Además, ¿no fueron los 90?

Además, con el sombrero en la mano, debo admitir que este mensaje también es para Gen Xers. Muchos de nosotros hemos perdido el camino olvidando nuestro desdén por la autoridad y el escepticismo hacia las instituciones. Este es un llamado para que recordemos lo que alguna vez defendimos y luchamos haciendo lo que mejor hacemos, avanzando por encima de la refriega.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia ¡Trae todo lo que hizo que los 80 y 90 fueran geniales!Gifabia

Gen X, es hora de ponerte las botas del Dr. Martens y volver a luchar contra la “batalla de quién podría importarle menos”. Es hora de que colectivamente recuperemos nuestro “lo que sea” y mostramos a las otras generaciones cuán poderosa puede ser el despido.

Aquí están los cinco valores principales de Gen X que debemos adoptar nuevamente.

5. Comprar artículos vintage

Nada era menos cadera a principios de los 90 que usar ropa de centro comercial.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Trae de vuelta el estilo de buena voluntad.

Foto de Sean Benesh en Unsplash

Si tenía algún estilo que compró en una tienda de segunda mano y compró DUD usados de los años 70 y principios de los 80 y los remezcla a algo increíble. Si estabas en el hip-hop o patinando, compraste en la tienda excedente y sacudiste algunos pollos súper duraderos o equipo de Carhartt. El estado de ánimo de los tiempos era totalmente anti-moda. En estos días, vivimos en un mundo donde la moda rápida está matando el medio ambiente. Al adoptar el valor de Gen X de la coolera de la vieja escuela, podemos ayudar al planeta mientras nos vemos mucho más de moda en el proceso.

4. Escepticismo corporativo

A principios de la década de 2000, las personas se enamoraron de la tecnología de los teléfonos inteligentes y las redes sociales tan rápido que nadie se detuvo y dijo: “¡Oye, espera un minuto!” Ahora, tenemos un mundo donde los niños están deprimidos, la cultura se ha dividido y ya nadie habla entre sí en público, solo miran sus teléfonos. Puedo entender totalmente por qué los jóvenes millennials y los boomers de Luddite se enamorarían de la artimaña de gran tecnología, pero lamentablemente, la Generación X estaba dormida al volante y también fue víctima. La generación que abrazó la noción de que la televisión pudió su cerebro necesita recordar a todos que salgan y jueguen bajo el sol o lean un libro. Y si lees un libro, debe ser de Bret Easton Ellis.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Traer de vuelta no confiar en grandes corporaciones.Gifabia

3. Solo di “lo que sea”

Dos de las frases de Gen X más populares fueron “lo que sea” y “hablar con la mano (porque a la cara no le importa)”. Pueden parecer respuestas impertinentes, pero son la forma correcta de tratar con las tonterías de otras personas y en 2025, tenemos que lidiar con un aluvión constante.

En algún momento, la gente olvidó que es aún más poderoso ignorar a alguien que admitir que se pusieron debajo de tu piel. En el mundo de las redes sociales, amplificamos involuntariamente las voces más miserables al subtwittear, comentar y gustar las publicaciones del Ejército de Griftos luchando por nuestra atención.

También vivimos en una era en la que muchos parecen ser adictos a la indignación. La forma más rápida de dejar de avivar las llamas de la indignación es con un simple “lo que sea”. Al igual que los perros distraídos por las ardillas, tenemos la cabeza en la indignación Swivels en estos días. Lanzar alrededor de la ocasional “lo que sea” nos da el tiempo y la energía para centrarnos en los problemas que realmente importan y toman medidas.

En estos días, “lo que sea” importa más que nunca.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Trae de vuelta ignorando a las personas molestas.Gifabia

2. Trae de vuelta el esnobismo

El buen sabor solía importar. En la década de 2000, los Millennials decidieron que a las personas tienen derecho a que les guste y que es peor juzgar el gusto personal de alguien que tener mal gusto. Gen Xers basó toda su personalidad en el gusto y exigió integridad de los artistas y fueron recompensados por vivir en una época de películas y música superiores. En estos días, nadie escucha música nueva y estamos atrapados en un mundo dominado por películas de cómics porque nadie se puso de pie y avergonzó a la gente por gustarle la cultura de bajo esfuerzo.

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Traer de vuelta películas y libros de alta calidadGifabia

1. Apatía política

La división política de Estados Unidos se ha calcificado durante la última década porque cada vez más personas basan sus identidades personales en su política. Esto ha creado una cultura en la que el diálogo entre liberales y conservadores se ha convertido en una combinación de gritos que solo hace que las personas caven sus talones en más. También ha creado una cultura en Washington, DC que ha atraído una forma más degradada de político y ha llevado al estancamiento que ha detenido cualquier sentido de progreso. Lamentablemente, Gen X también ha sido absorbido por este vórtice.

Las cosas eran muy diferentes en los años 90. En 1999, Ted Halstead en el Atlántico señaló que Xers “parece haber consagrado la apatía política como una forma de vida”. Agregó que la generación Xers “exhibe menos confianza social o confianza en el gobierno, tiene una lealtad más débil a su país o a cualquiera de los partidos políticos”.

En comparación con lo que está sucediendo en Estados Unidos en 2025, este tipo de apatía parece bienvenido. En los años 90, tomar una “píldora fría” podría resolver todo. ¿No sería genial si todos tomaran uno, y luego podríamos abrir nuestros oídos y corazones y tener algunas discusiones constructivas?

1990, Gen X, '90s Valores, 90, 80, Gen Z, Millennial, Generations, Nostalgia Trae de vuelta sin hacer de la política toda su identidad.Gifabia

Hubo un lamento común en la década de 1980 de que los hippies Boomer se habían agotado y se convirtieron en yuppies Boomer. Pasaron de estar preocupados por la paz, el amor y el planeta a las acciones, los bonos y el consumo conspicuo. La Generación X ahora está en sus 40 y 50 años y es justo decir que hemos pasado de ser los extraños a la creación de máquinas tecnológicas y políticas que generan el tipo de conformidad con la que una vez redujo.

Ahora que los Xers están en la edad en que podemos ejecutar el mundo durante unas décadas, es hora de volver a comprometerse con los valores centrales que nos hacen bien … nosotros. La gran noticia es que, como Gen Xers, será fácil volver a nuestras raíces porque fuimos criados para amar irónicamente al pasado.

Este artículo apareció originalmente hace tres años. Se ha actualizado.

Noticias

Everything you need to know about the AI chatbot

Published

7 horas ago

25 abril, 2025

Sergio Villanueva

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm since its launch in November 2022. What started as a tool to supercharge productivity through writing essays and code with short text prompts has evolved into a behemoth with 300 million weekly active users.

2024 was a big year for OpenAI, from its partnership with Apple for its generative AI offering, Apple Intelligence, the release of GPT-4o with voice capabilities, and the highly-anticipated launch of its text-to-video model Sora.

OpenAI also faced its share of internal drama, including the notable exits of high-level execs like co-founder and longtime chief scientist Ilya Sutskever and CTO Mira Murati. OpenAI has also been hit with lawsuits from Alden Global Capital-owned newspapers alleging copyright infringement, as well as an injunction from Elon Musk to halt OpenAI’s transition to a for-profit.

In 2025, OpenAI is battling the perception that it’s ceding ground in the AI race to Chinese rivals like DeepSeek. The company has been trying to shore up its relationship with Washington as it simultaneously pursues an ambitious data center project, and as it reportedly lays the groundwork for one of the largest funding rounds in history.

Below, you’ll find a timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year. If you have any other questions, check out our ChatGPT FAQ here.

To see a list of 2024 updates, go here.

Timeline of the most recent ChatGPT updates

April 2025

OpenAI wants its AI model to access cloud models for assistance

OpenAI leaders have been talking about allowing the open model to link up with OpenAI’s cloud-hosted models to improve its ability to respond to intricate questions, two sources familiar with the situation told TechCrunch.

OpenAI aims to make its new “open” AI model the best on the market

OpenAI is preparing to launch an AI system that will be openly accessible, allowing users to download it for free without any API restrictions. Aidan Clark, OpenAI’s VP of research, is spearheading the development of the open model, which is in the very early stages, sources familiar with the situation told TechCrunch.

OpenAI’s GPT-4.1 may be less aligned than earlier models

OpenAI released a new AI model called GPT-4.1 in mid-April. However, multiple independent tests indicate that the model is less reliable than previous OpenAI releases. The company skipped that step — sending safety cards for GPT-4.1 — claiming in a statement to TechCrunch that “GPT-4.1 is not a frontier model, so there won’t be a separate system card released for it.”

OpenAI’s o3 AI model scored lower than expected on a benchmark

Questions have been raised regarding OpenAI’s transparency and procedures for testing models after a difference in benchmark outcomes was detected by first- and third-party benchmark results for the o3 AI model. OpenAI introduced o3 in December, stating that the model could solve approximately 25% of questions on FrontierMath, a difficult math problem set. Epoch AI, the research institute behind FrontierMath, discovered that o3 achieved a score of approximately 10%, which was significantly lower than OpenAI’s top-reported score.

OpenAI unveils Flex processing for cheaper, slower AI tasks

OpenAI has launched a new API feature called Flex processing that allows users to use AI models at a lower cost but with slower response times and occasional resource unavailability. Flex processing is available in beta on the o3 and o4-mini reasoning models for non-production tasks like model evaluations, data enrichment, and asynchronous workloads.

OpenAI’s latest AI models now have a safeguard against biorisks

OpenAI has rolled out a new system to monitor its AI reasoning models, o3 and o4 mini, for biological and chemical threats. The system is designed to prevent models from giving advice that could potentially lead to harmful attacks, as stated in OpenAI’s safety report.

OpenAI launches its latest reasoning models, o3 and o4-mini

OpenAI has released two new reasoning models, o3 and o4 mini, just two days after launching GPT-4.1. The company claims o3 is the most advanced reasoning model it has developed, while o4-mini is said to provide a balance of price, speed, and performance. The new models stand out from previous reasoning models because they can use ChatGPT features like web browsing, coding, and image processing and generation. But they hallucinate more than several of OpenAI’s previous models.

OpenAI has added a new section to ChatGPT to offer easier access to AI-generated images for all user tiers

Open AI introduced a new section called “library” to make it easier for users to create images on mobile and web platforms, per the company’s X post.

OpenAI could “adjust” its safeguards if rivals release “high-risk” AI

OpenAI said on Tuesday that it might revise its safety standards if “another frontier AI developer releases a high-risk system without comparable safeguards.” The move shows how commercial AI developers face more pressure to rapidly implement models due to the increased competition.

OpenAI is currently in the early stages of developing its own social media platform to compete with Elon Musk’s X and Mark Zuckerberg’s Instagram and Threads, according to The Verge. It is unclear whether OpenAI intends to launch the social network as a standalone application or incorporate it into ChatGPT.

OpenAI will remove its largest AI model, GPT-4.5, from the API, in July

OpenAI will discontinue its largest AI model, GPT-4.5, from its API even though it was just launched in late February. GPT-4.5 will be available in a research preview for paying customers. Developers can use GPT-4.5 through OpenAI’s API until July 14; then, they will need to switch to GPT-4.1, which was released on April 14.

OpenAI unveils GPT-4.1 AI models that focus on coding capabilities

OpenAI has launched three members of the GPT-4.1 model — GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano — with a specific focus on coding capabilities. It’s accessible via the OpenAI API but not ChatGPT. In the competition to develop advanced programming models, GPT-4.1 will rival AI models such as Google’s Gemini 2.5 Pro, Anthropic’s Claude 3.7 Sonnet, and DeepSeek’s upgraded V3.

OpenAI will discontinue ChatGPT’s GPT-4 at the end of April

OpenAI plans to sunset GPT-4, an AI model introduced more than two years ago, and replace it with GPT-4o, the current default model, per changelog. It will take effect on April 30. GPT-4 will remain available via OpenAI’s API.

OpenAI could release GPT-4.1 soon

OpenAI may launch several new AI models, including GPT-4.1, soon, The Verge reported, citing anonymous sources. GPT-4.1 would be an update of OpenAI’s GPT-4o, which was released last year. On the list of upcoming models are GPT-4.1 and smaller versions like GPT-4.1 mini and nano, per the report.

OpenAI has updated ChatGPT to use information from your previous conversations

OpenAI started updating ChatGPT to enable the chatbot to remember previous conversations with a user and customize its responses based on that context. This feature is rolling out to ChatGPT Pro and Plus users first, excluding those in the U.K., EU, Iceland, Liechtenstein, Norway, and Switzerland.

OpenAI is working on watermarks for images made with ChatGPT

It looks like OpenAI is working on a watermarking feature for images generated using GPT-4o. AI researcher Tibor Blaho spotted a new “ImageGen” watermark feature in the new beta of ChatGPT’s Android app. Blaho also found mentions of other tools: “Structured Thoughts,” “Reasoning Recap,” “CoT Search Tool,” and “l1239dk1.”

OpenAI offers ChatGPT Plus for free to U.S., Canadian college students

OpenAI is offering its $20-per-month ChatGPT Plus subscription tier for free to all college students in the U.S. and Canada through the end of May. The offer will let millions of students use OpenAI’s premium service, which offers access to the company’s GPT-4o model, image generation, voice interaction, and research tools that are not available in the free version.

ChatGPT users have generated over 700M images so far

More than 130 million users have created over 700 million images since ChatGPT got the upgraded image generator on March 25, according to COO of OpenAI Brad Lightcap. The image generator was made available to all ChatGPT users on March 31, and went viral for being able to create Ghibli-style photos.

OpenAI’s o3 model could cost more to run than initial estimate

The Arc Prize Foundation, which develops the AI benchmark tool ARC-AGI, has updated the estimated computing costs for OpenAI’s o3 “reasoning” model managed by ARC-AGI. The organization originally estimated that the best-performing configuration of o3 it tested, o3 high, would cost approximately $3,000 to address a single problem. The Foundation now thinks the cost could be much higher, possibly around $30,000 per task.

OpenAI CEO says capacity issues will cause product delays

In a series of posts on X, OpenAI CEO Sam Altman said the company’s new image-generation tool’s popularity may cause product releases to be delayed. “We are getting things under control, but you should expect new releases from OpenAI to be delayed, stuff to break, and for service to sometimes be slow as we deal with capacity challenges,” he wrote.

March 2025

OpenAI plans to release a new ‘open’ AI language model

OpeanAI intends to release its “first” open language model since GPT-2 “in the coming months.” The company plans to host developer events to gather feedback and eventually showcase prototypes of the model. The first developer event is to be held in San Francisco, with sessions to follow in Europe and Asia.

OpenAI removes ChatGPT’s restrictions on image generation

OpenAI made a notable change to its content moderation policies after the success of its new image generator in ChatGPT, which went viral for being able to create Studio Ghibli-style images. The company has updated its policies to allow ChatGPT to generate images of public figures, hateful symbols, and racial features when requested. OpenAI had previously declined such prompts due to the potential controversy or harm they may cause. However, the company has now “evolved” its approach, as stated in a blog post published by Joanne Jang, the lead for OpenAI’s model behavior.

OpenAI adopts Anthropic’s standard for linking AI models with data

OpenAI wants to incorporate Anthropic’s Model Context Protocol (MCP) into all of its products, including the ChatGPT desktop app. MCP, an open-source standard, helps AI models generate more accurate and suitable responses to specific queries, and lets developers create bidirectional links between data sources and AI applications like chatbots. The protocol is currently available in the Agents SDK, and support for the ChatGPT desktop app and Responses API will be coming soon, OpenAI CEO Sam Altman said.

OpenAI’s viral Studio Ghibli-style images could raise AI copyright concerns

The latest update of the image generator on OpenAI’s ChatGPT has triggered a flood of AI-generated memes in the style of Studio Ghibli, the Japanese animation studio behind blockbuster films like “My Neighbor Totoro” and “Spirited Away.” The burgeoning mass of Ghibli-esque images have sparked concerns about whether OpenAI has violated copyright laws, especially since the company is already facing legal action for using source material without authorization.

OpenAI expects revenue to triple to $12.7 billion this year

OpenAI expects its revenue to triple to $12.7 billion in 2025, fueled by the performance of its paid AI software, Bloomberg reported, citing an anonymous source. While the startup doesn’t expect to reach positive cash flow until 2029, it expects revenue to increase significantly in 2026 to surpass $29.4 billion, the report said.

ChatGPT has upgraded its image-generation feature

OpenAI on Tuesday rolled out a major upgrade to ChatGPT’s image-generation capabilities: ChatGPT can now use the GPT-4o model to generate and edit images and photos directly. The feature went live earlier this week in ChatGPT and Sora, OpenAI’s AI video-generation tool, for subscribers of the company’s Pro plan, priced at $200 a month, and will be available soon to ChatGPT Plus subscribers and developers using the company’s API service. The company’s CEO Sam Altman said on Wednesday, however, that the release of the image generation feature to free users would be delayed due to higher demand than the company expected.

OpenAI announces leadership updates

Brad Lightcap, OpenAI’s chief operating officer, will lead the company’s global expansion and manage corporate partnerships as CEO Sam Altman shifts his focus to research and products, according to a blog post from OpenAI. Lightcap, who previously worked with Altman at Y Combinator, joined the Microsoft-backed startup in 2018. OpenAI also said Mark Chen would step into the expanded role of chief research officer, and Julia Villagra will take on the role of chief people officer.

OpenAI’s AI voice assistant now has advanced feature

OpenAI has updated its AI voice assistant with improved chatting capabilities, according to a video posted on Monday (March 24) to the company’s official media channels. The update enables real-time conversations, and the AI assistant is said to be more personable and interrupts users less often. Users on ChatGPT’s free tier can now access the new version of Advanced Voice Mode, while paying users will receive answers that are “more direct, engaging, concise, specific, and creative,” a spokesperson from OpenAI told TechCrunch.

OpenAI, Meta in talks with Reliance in India

OpenAI and Meta have separately engaged in discussions with Indian conglomerate Reliance Industries regarding potential collaborations to enhance their AI services in the country, per a report by The Information. One key topic being discussed is Reliance Jio distributing OpenAI’s ChatGPT. Reliance has proposed selling OpenAI’s models to businesses in India through an application programming interface (API) so they can incorporate AI into their operations. Meta also plans to bolster its presence in India by constructing a large 3GW data center in Jamnagar, Gujarat. OpenAI, Meta, and Reliance have not yet officially announced these plans.

OpenAI faces privacy complaint in Europe for chatbot’s defamatory hallucinations

Noyb, a privacy rights advocacy group, is supporting an individual in Norway who was shocked to discover that ChatGPT was providing false information about him, stating that he had been found guilty of killing two of his children and trying to harm the third. “The GDPR is clear. Personal data has to be accurate,” said Joakim Söderberg, data protection lawyer at Noyb, in a statement. “If it’s not, users have the right to have it changed to reflect the truth. Showing ChatGPT users a tiny disclaimer that the chatbot can make mistakes clearly isn’t enough. You can’t just spread false information and in the end add a small disclaimer saying that everything you said may just not be true.”

OpenAI upgrades its transcription and voice-generating AI models

OpenAI has added new transcription and voice-generating AI models to its APIs: a text-to-speech model, “gpt-4o-mini-tts,” that delivers more nuanced and realistic sounding speech, as well as two speech-to-text models called “gpt-4o-transcribe” and “gpt-4o-mini-transcribe”. The company claims they are improved versions of what was already there and that they hallucinate less.

OpenAI has launched o1-pro, a more powerful version of its o1

OpenAI has introduced o1-pro in its developer API. OpenAI says its o1-pro uses more computing than its o1 “reasoning” AI model to deliver “consistently better responses.” It’s only accessible to select developers who have spent at least $5 on OpenAI API services. OpenAI charges $150 for every million tokens (about 750,000 words) input into the model and $600 for every million tokens the model produces. It costs twice as much as OpenAI’s GPT-4.5 for input and 10 times the price of regular o1.

OpenAI research lead Noam Brown thinks AI “reasoning” models could’ve arrived decades ago

Noam Brown, who heads AI reasoning research at OpenAI, thinks that certain types of AI models for “reasoning” could have been developed 20 years ago if researchers had understood the correct approach and algorithms.

OpenAI says it has trained an AI that’s “really good” at creative writing

OpenAI CEO Sam Altman said, in a post on X, that the company has trained a “new model” that’s “really good” at creative writing. He posted a lengthy sample from the model given the prompt “Please write a metafictional literary short story about AI and grief.” OpenAI has not extensively explored the use of AI for writing fiction. The company has mostly concentrated on challenges in rigid, predictable areas such as math and programming. And it turns out that it might not be that great at creative writing at all.

we trained a new model that is good at creative writing (not sure yet how/when it will get released). this is the first time i have been really struck by something written by AI; it got the vibe of metafiction so right.

PROMPT:

Please write a metafictional literary short story…

— Sam Altman (@sama) March 11, 2025

OpenAI launches new tools to help businesses build AI agents

OpenAI rolled out new tools designed to help developers and businesses build AI agents — automated systems that can independently accomplish tasks — using the company’s own AI models and frameworks. The tools are part of OpenAI’s new Responses API, which enables enterprises to develop customized AI agents that can perform web searches, scan through company files, and navigate websites, similar to OpenAI’s Operator product. The Responses API effectively replaces OpenAI’s Assistants API, which the company plans to discontinue in the first half of 2026.

OpenAI reportedly plans to charge up to $20,000 a month for specialized AI ‘agents’

OpenAI intends to release several “agent” products tailored for different applications, including sorting and ranking sales leads and software engineering, according to a report from The Information. One, a “high-income knowledge worker” agent, will reportedly be priced at $2,000 a month. Another, a software developer agent, is said to cost $10,000 a month. The most expensive rumored agents, which are said to be aimed at supporting “PhD-level research,” are expected to cost $20,000 per month. The jaw-dropping figure is indicative of how much cash OpenAI needs right now: The company lost roughly $5 billion last year after paying for costs related to running its services and other expenses. It’s unclear when these agentic tools might launch or which customers will be eligible to buy them.

ChatGPT can directly edit your code

The latest version of the macOS ChatGPT app allows users to edit code directly in supported developer tools, including Xcode, VS Code, and JetBrains. ChatGPT Plus, Pro, and Team subscribers can use the feature now, and the company plans to roll it out to more users like Enterprise, Edu, and free users.

ChatGPT’s weekly active users doubled in less than 6 months, thanks to new releases

According to a new report from VC firm Andreessen Horowitz (a16z), OpenAI’s AI chatbot, ChatGPT, experienced solid growth in the second half of 2024. It took ChatGPT nine months to increase its weekly active users from 100 million in November 2023 to 200 million in August 2024, but it only took less than six months to double that number once more, according to the report. ChatGPT’s weekly active users increased to 300 million by December 2024 and 400 million by February 2025. ChatGPT has experienced significant growth recently due to the launch of new models and features, such as GPT-4o, with multimodal capabilities. ChatGPT usage spiked from April to May 2024, shortly after that model’s launch.

February 2025

OpenAI cancels its o3 AI model in favor of a ‘unified’ next-gen release

OpenAI has effectively canceled the release of o3 in favor of what CEO Sam Altman is calling a “simplified” product offering. In a post on X, Altman said that, in the coming months, OpenAI will release a model called GPT-5 that “integrates a lot of [OpenAI’s] technology,” including o3, in ChatGPT and its API. As a result of that roadmap decision, OpenAI no longer plans to release o3 as a standalone model.

ChatGPT may not be as power-hungry as once assumed

A commonly cited stat is that ChatGPT requires around 3 watt-hours of power to answer a single question. Using OpenAI’s latest default model for ChatGPT, GPT-4o, as a reference, nonprofit AI research institute Epoch AI found the average ChatGPT query consumes around 0.3 watt-hours. However, the analysis doesn’t consider the additional energy costs incurred by ChatGPT with features like image generation or input processing.

OpenAI now reveals more of its o3-mini model’s thought process

In response to pressure from rivals like DeepSeek, OpenAI is changing the way its o3-mini model communicates its step-by-step “thought” process. ChatGPT users will see an updated “chain of thought” that shows more of the model’s “reasoning” steps and how it arrived at answers to questions.

You can now use ChatGPT web search without logging in

OpenAI is now allowing anyone to use ChatGPT web search without having to log in. While OpenAI had previously allowed users to ask ChatGPT questions without signing in, responses were restricted to the chatbot’s last training update. This only applies through ChatGPT.com, however. To use ChatGPT in any form through the native mobile app, you will still need to be logged in.

OpenAI unveils a new ChatGPT agent for ‘deep research’

OpenAI announced a new AI “agent” called deep research that’s designed to help people conduct in-depth, complex research using ChatGPT. OpenAI says the “agent” is intended for instances where you don’t just want a quick answer or summary, but instead need to assiduously consider information from multiple websites and other sources.

January 2025

OpenAI used a subreddit to test AI persuasion

OpenAI used the subreddit r/ChangeMyView to measure the persuasive abilities of its AI reasoning models. OpenAI says it collects user posts from the subreddit and asks its AI models to write replies, in a closed environment, that would change the Reddit user’s mind on a subject. The company then shows the responses to testers, who assess how persuasive the argument is, and finally OpenAI compares the AI models’ responses to human replies for that same post.

OpenAI launches o3-mini, its latest ‘reasoning’ model

OpenAI launched a new AI “reasoning” model, o3-mini, the newest in the company’s o family of models. OpenAI first previewed the model in December alongside a more capable system called o3. OpenAI is pitching its new model as both “powerful” and “affordable.”

ChatGPT’s mobile users are 85% male, report says

A new report from app analytics firm Appfigures found that over half of ChatGPT’s mobile users are under age 25, with users between ages 50 and 64 making up the second largest age demographic. The gender gap among ChatGPT users is even more significant. Appfigures estimates that across age groups, men make up 84.5% of all users.

OpenAI launches ChatGPT plan for US government agencies

OpenAI launched ChatGPT Gov designed to provide U.S. government agencies an additional way to access the tech. ChatGPT Gov includes many of the capabilities found in OpenAI’s corporate-focused tier, ChatGPT Enterprise. OpenAI says that ChatGPT Gov enables agencies to more easily manage their own security, privacy, and compliance, and could expedite internal authorization of OpenAI’s tools for the handling of non-public sensitive data.

More teens report using ChatGPT for schoolwork, despite the tech’s faults

Younger Gen Zers are embracing ChatGPT, for schoolwork, according to a new survey by the Pew Research Center. In a follow-up to its 2023 poll on ChatGPT usage among young people, Pew asked ~1,400 U.S.-based teens ages 13 to 17 whether they’ve used ChatGPT for homework or other school-related assignments. Twenty-six percent said that they had, double the number two years ago. Just over half of teens responding to the poll said they think it’s acceptable to use ChatGPT for researching new subjects. But considering the ways ChatGPT can fall short, the results are possibly cause for alarm.

OpenAI says it may store deleted Operator data for up to 90 days

OpenAI says that it might store chats and associated screenshots from customers who use Operator, the company’s AI “agent” tool, for up to 90 days — even after a user manually deletes them. While OpenAI has a similar deleted data retention policy for ChatGPT, the retention period for ChatGPT is only 30 days, which is 60 days shorter than Operator’s.

OpenAI launches Operator, an AI agent that performs tasks autonomously

OpenAI is launching a research preview of Operator, a general-purpose AI agent that can take control of a web browser and independently perform certain actions. Operator promises to automate tasks such as booking travel accommodations, making restaurant reservations, and shopping online.

OpenAI may preview its agent tool for users on the $200-per-month Pro plan

Operator, OpenAI’s agent tool, could be released sooner rather than later. Changes to ChatGPT’s code base suggest that Operator will be available as an early research preview to users on the $200 Pro subscription plan. The changes aren’t yet publicly visible, but a user on X who goes by Choi spotted these updates in ChatGPT’s client-side code. TechCrunch separately identified the same references to Operator on OpenAI’s website.

OpenAI tests phone number-only ChatGPT signups

OpenAI has begun testing a feature that lets new ChatGPT users sign up with only a phone number — no email required. The feature is currently in beta in the U.S. and India. However, users who create an account using their number can’t upgrade to one of OpenAI’s paid plans without verifying their account via an email. Multi-factor authentication also isn’t supported without a valid email.

ChatGPT now lets you schedule reminders and recurring tasks

ChatGPT’s new beta feature, called tasks, allows users to set simple reminders. For example, you can ask ChatGPT to remind you when your passport expires in six months, and the AI assistant will follow up with a push notification on whatever platform you have tasks enabled. The feature will start rolling out to ChatGPT Plus, Team, and Pro users around the globe this week.

New ChatGPT feature lets users assign it traits like ‘chatty’ and ‘Gen Z’

OpenAI is introducing a new way for users to customize their interactions with ChatGPT. Some users found they can specify a preferred name or nickname and “traits” they’d like the chatbot to have. OpenAI suggests traits like “Chatty,” “Encouraging,” and “Gen Z.” However, some users reported that the new options have disappeared, so it’s possible they went live prematurely.

FAQs:

What is ChatGPT? How does it work?

ChatGPT is a general-purpose chatbot that uses artificial intelligence to generate text after a user enters a prompt, developed by tech startup OpenAI. The chatbot uses GPT-4, a large language model that uses deep learning to produce human-like text.

When did ChatGPT get released?

November 30, 2022 is when ChatGPT was released for public use.

What is the latest version of ChatGPT?

Both the free version of ChatGPT and the paid ChatGPT Plus are regularly updated with new GPT models. The most recent model is GPT-4o.

Can I use ChatGPT for free?

There is a free version of ChatGPT that only requires a sign-in in addition to the paid version, ChatGPT Plus.

Who uses ChatGPT?

Anyone can use ChatGPT! More and more tech companies and search engines are utilizing the chatbot to automate text or quickly answer user questions/concerns.

What companies use ChatGPT?

Multiple enterprises utilize ChatGPT, although others may limit the use of the AI-powered tool.

Most recently, Microsoft announced at its 2023 Build conference that it is integrating its ChatGPT-based Bing experience into Windows 11. A Brooklyn-based 3D display startup Looking Glass utilizes ChatGPT to produce holograms you can communicate with by using ChatGPT. And nonprofit organization Solana officially integrated the chatbot into its network with a ChatGPT plug-in geared toward end users to help onboard into the web3 space.

What does GPT mean in ChatGPT?

GPT stands for Generative Pre-Trained Transformer.

What is the difference between ChatGPT and a chatbot?

A chatbot can be any software/system that holds dialogue with you/a person but doesn’t necessarily have to be AI-powered. For example, there are chatbots that are rules-based in the sense that they’ll give canned responses to questions.

ChatGPT is AI-powered and utilizes LLM technology to generate text after a prompt.

Can ChatGPT write essays?

Yes.

Can ChatGPT commit libel?

Due to the nature of how these models work, they don’t know or care whether something is true, only that it looks true. That’s a problem when you’re using it to do your homework, sure, but when it accuses you of a crime you didn’t commit, that may well at this point be libel.

We will see how handling troubling statements produced by ChatGPT will play out over the next few months as tech and legal experts attempt to tackle the fastest moving target in the industry.

Does ChatGPT have an app?

Yes, there is a free ChatGPT mobile app for iOS and Android users.

What is the ChatGPT character limit?

It’s not documented anywhere that ChatGPT has a character limit. However, users have noted that there are some character limitations after around 500 words.

Does ChatGPT have an API?

Yes, it was released March 1, 2023.

What are some sample everyday uses for ChatGPT?

Everyday examples include programming, scripts, email replies, listicles, blog ideas, summarization, etc.

What are some advanced uses for ChatGPT?

Advanced use examples include debugging code, programming languages, scientific concepts, complex problem solving, etc.

How good is ChatGPT at writing code?

It depends on the nature of the program. While ChatGPT can write workable Python code, it can’t necessarily program an entire app’s worth of code. That’s because ChatGPT lacks context awareness — in other words, the generated code isn’t always appropriate for the specific context in which it’s being used.

Can you save a ChatGPT chat?

Yes. OpenAI allows users to save chats in the ChatGPT interface, stored in the sidebar of the screen. There are no built-in sharing features yet.

Are there alternatives to ChatGPT?

Yes. There are multiple AI-powered chatbot competitors such as Together, Google’s Gemini and Anthropic’s Claude, and developers are creating open source alternatives.

How does ChatGPT handle data privacy?

OpenAI has said that individuals in “certain jurisdictions” (such as the EU) can object to the processing of their personal information by its AI models by filling out this form. This includes the ability to make requests for deletion of AI-generated references about you. Although OpenAI notes it may not grant every request since it must balance privacy requests against freedom of expression “in accordance with applicable laws”.

The web form for making a deletion of data about you request is entitled “OpenAI Personal Data Removal Request”.

In its privacy policy, the ChatGPT maker makes a passing acknowledgement of the objection requirements attached to relying on “legitimate interest” (LI), pointing users towards more information about requesting an opt out — when it writes: “See here for instructions on how you can opt out of our use of your information to train our models.”

What controversies have surrounded ChatGPT?

Recently, Discord announced that it had integrated OpenAI’s technology into its bot named Clyde where two users tricked Clyde into providing them with instructions for making the illegal drug methamphetamine (meth) and the incendiary mixture napalm.

An Australian mayor has publicly announced he may sue OpenAI for defamation due to ChatGPT’s false claims that he had served time in prison for bribery. This would be the first defamation lawsuit against the text-generating service.

CNET found itself in the midst of controversy after Futurism reported the publication was publishing articles under a mysterious byline completely generated by AI. The private equity company that owns CNET, Red Ventures, was accused of using ChatGPT for SEO farming, even if the information was incorrect.

Several major school systems and colleges, including New York City Public Schools, have banned ChatGPT from their networks and devices. They claim that the AI impedes the learning process by promoting plagiarism and misinformation, a claim that not every educator agrees with.

There have also been cases of ChatGPT accusing individuals of false crimes.

Where can I find examples of ChatGPT prompts?

Several marketplaces host and provide ChatGPT prompts, either for free or for a nominal fee. One is PromptBase. Another is ChatX. More launch every day.

Can ChatGPT be detected?

Poorly. Several tools claim to detect ChatGPT-generated text, but in our tests, they’re inconsistent at best.

Are ChatGPT chats public?

No. But OpenAI recently disclosed a bug, since fixed, that exposed the titles of some users’ conversations to other people on the service.

What lawsuits are there surrounding ChatGPT?

None specifically targeting ChatGPT. But OpenAI is involved in at least one lawsuit that has implications for AI systems trained on publicly available data, which would touch on ChatGPT.