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Comparing Google Veo 2 And OpenAI Sora in 2025

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It’s impossible to scroll through social media or attend any technology conference without encountering the dramatic shift happening in video production. Text-to-video AI has arrived, and the titans of tech are racing to bring their versions to market. At the forefront of this revolution are two powerhouse tools–OpenAI’s Sora (released in the UK and EU just this Friday) and Google’s Veo 2—each representing vastly different visions for the future of digital content creation. The implications for industries from fashion to gaming, advertising to independent filmmaking are profound and immediate.

Sora vs Veo 2: Two Visions for AI-Generated Video

Since both tools are relatively new to the market, certainly with UK and EU audiences, I spoke to three different expert users who have had early access to these tools for a number of months to tell me about their experiences with them and to compare and contrast their relative merits and features. My key takeaway is that the battle between Sora and Veo 2 isn’t just about technical specs—it’s a clash of philosophies. One aims to replicate reality, the other to transcend it. These tools represent a pivotal moment where the barriers between imagination and execution are dissolving at an unprecedented rate.

The contrast between Sora and Veo 2 represents more than just competing products—it embodies divergent philosophies about what matters most in creative tools. OpenAI has prioritized user interface and control, while Google has focused on output quality and physics simulation.

“Sora has a huge advantage, because they put a lot of work into the interface and the user interface,” explains David Sheldrick, founder at PS Productions and Sheldrick.ai, who is an early tester of both platforms. “Veo 2, even though the rendering output quality is obviously incredible…Sora itself, when you go on the website, feels way more like a real, sort of refined product.”

This distinction becomes immediately apparent to users encountering both platforms. Sora offers a comprehensive suite of creator-friendly features—timelines, keyframing, and editing capabilities that feel familiar to anyone with video production experience. It prioritizes creative control and workflow integration over raw technical performance.

Leo Kadieff, Gen AI Lead Artist at Wolf Games, a studio pioneering AI-driven gaming experiences, has also had early access to both platforms and describes Veo 2 as “phenomenal, with web access, and API access which enables much more experimental stuff. It’s really the number one tool”. His enthusiasm for Veo 2’s capabilities stems from its exceptional output quality and physics modeling, even if the interface isn’t as polished as Sora’s.

This reflects a key question for creative tools: is it better to provide a familiar, robust interface or to focus on generating the highest quality outputs possible? The answer, as is often the case with emerging technologies, depends entirely on what you’re trying to create.

Technical Strengths: Physics, Consistency and Hallucinations

The real-world performance of these tools reveals their distinct technical approaches. Sora impresses with its cinematic quality and extended duration capabilities, while Veo 2 excels at physics simulation and consistency.

“The image quality is pretty damn good,” notes Sheldrick about Veo 2, while adding that “Sora already has nailed photo realism. It’s got this image fidelity, which is super, super high.” Both platforms are clearly pushing the boundaries of what’s possible, but they handle technical challenges differently.

One particularly revealing area is how each platform deals with the “hallucinations” inherent to AI generation—those moments when the physics or continuity breaks down in unexpected ways.

Kadieff explains the difference vividly: “When Veo 2 hallucinates, it just clips to kind of like a similar set that it has in its memory, but you might lose, like, consistency, or you might get a whole different, weird angle. So, for example, if you make a drone shot flying over a location, and it’s like 10 seconds, it will do five seconds perfectly, and then it’s going to clip to some rainforest”.

Bilawal Sidhu, a creative technologist and AI/VFX creator on YouTube and other platforms, with over a decade of experience, doesn’t mince words about Sora’s limitations: “the physics are completely borked, like, absolutely horrendous”. He explains that while Sora offers longer duration videos (10-15 seconds), its physical simulation often falls short, particularly with human movement and interactions.

Speaking on his YouTube channel, Sidhu declares, “Nothing comes close to what Google Deep Mind has dropped… Veo 2 now speaks cinematographer. You can ask for a low angle tracking shot 18 mm lens and put a bunch of detail in there and it will understand what you mean. You just ask it with terms you already know… I feel like Sora doesn’t really follow your instructions. Sora definitely does pretty well at times, but in general it tends to be really bad at physics.”

Behind every AI video generator lies mountains of training data that shapes what each tool excels at creating. Hypothesising why the physics outputs of Veo 2 are superior in the video outputs, he states, “Google owns YouTube, and so even if you pull out a bunch of the copyrighted stuff, that still leaves a massive corpus compared to what anyone else has to train on.”

The battle for training data supremacy extends beyond quantity to quality and diversity. OpenAI has remained relatively secretive about Sora’s full training dataset, raising questions about potential biases and limitations.

For commercial applications where physical accuracy is non-negotiable, this distinction matters enormously. Video quality and physical realism are essential for products that need to be represented accurately, highlighting why industries with strict visual requirements might lean toward Veo 2 despite its more limited interface.

Sora vs Veo 2: Prompt Control and Generation Quality

By coming out first, Sora had a first-mover advantage of sorts, but it also set the bar for other models to work towards—and then transcend. Sidhu was very impressed when he first saw the outputs: “watching the first Sora video, the underwater diver discovering like a crashed spaceship underwater, if you remember that video, that blew my mind, because I feel like Sora showed us that you could cross this chasm of quality with video content that we just hadn’t seen.”

Explaining more of the positives for Sora, Sidhu adds, “Sora is very powerful. Their user experience is far better than their actual quality. They’ve got this like storyboard editor view, where you can basically lay out prompts on a timeline—you can outline, hey, I want a character to enter, the scene from the left, walk down and sit down on this table over here, and then at this point in time, I want somebody else to walk up and suddenly get their attention.”

The ability to translate text prompts into intended visuals varies significantly between platforms. Veo 2 appears to be winning the battle for prompt adherence—the ability to faithfully translate textual descriptions into corresponding visuals.

“Veo 2 is very good at prompt adherence, you can give very long prompts, and it’ll kind of condition the generation to encapsulate all the things that you asked for,” Sidhu explains, expressing genuine surprise at Veo 2’s capabilities. “Like Runway and Luma, and pretty much anything that you’ve used out there, the hit rate is very bad… for Veo 2, it is by far the best. It’s like, kind of insane, how good it is”.

This predictability and control fundamentally changes the user experience. Rather than treating AI video generation as a slot machine where creators must roll repeatedly hoping for a usable result, Veo 2 provides more consistent, controlled outputs—particularly valuable for commercial applications with specific requirements.

Consistency extends beyond single clips as well. Sidhu notes that “the four clips you get [as an output from Veo 2], you put in a text prompts, as long as you want them to be, and with a very detailed text prompt, you get very close to character consistency too”, allowing for multi-clip productions featuring the same characters and settings without dramatic variations.

Kadieff is also a huge fan of Veo 2’s generation quality: “”Veo 2 has generally been trained on very good, cinematic content. So almost like all the shots you do with it feel super cinematic, and the animation quality is phenomenal.”

Beyond this, the resolution quality of Veo 2’s outputs is also a cause for celebration, as Sidhu states, “this model can natively output 4K. If you used any other video generation tool, Sora, Luma, whatever it is, you end up exporting your clips into some other upscaling tool whether that’s Krea or Topaz, what have you — this model can do 4K natively, that’s amazing.”

Industry Applications: From Fashion to Gaming

Different industries are discovering unique applications for these tools, with their specific requirements guiding platform selection. Fashion brands prize consistency and physical accuracy, while gaming and entertainment often value creative flexibility and surrealism.

“What I’m really excited about is not just the ability, indies are going to be able to rival the outputs of studios, but studios are going to set whole new standards,” says Sidhu. “But then also, these tools are changing the nature of content itself, like we’re moving into this era of just-in-time disposable content.”

For fashion and retail, the ability to quickly generate variations of a single concept represents enormous value. Creating multiple versions of product videos tailored to different markets is now possible without the expense of multiple production shoots.

Meanwhile, gaming and entertainment applications embrace different capabilities. Kadieff describes how AI is transforming creative approaches: “The intersection of art, games and films, is not just about games and films anymore – it’s about hybrid experiences”. This represents a fundamental shift in how interactive media can be conceived and produced.

Sheldrick predicts significant industry adoption this year: “I think this is the year that AI video and AI imagery in general will kind of break into the advertising market and a bit more into commercial space.” He warns that “the companies that have got on board with it, will start to reap the rewards, and the companies that have neglected to take this seriously, will suffer in this year.”

The Human-AI Collaboration Model

Despite these tools’ remarkable capabilities, the most successful implementations combine AI generation with human creativity and oversight. The emerging workflow models suggest letting AI handle repetitive elements while humans focus on the aspects requiring artistic judgment.

As these platforms continue to develop, creative teams are adapting how they work, with new hybrid roles emerging at the intersection of traditional creativity and technical AI expertise.

The learning curve remains steep, but the productivity gains can be substantial once teams develop effective workflows. Kadieff notes how transformative these tools have been: “when I saw transformer-based art, like three, four years ago, I mean, it changed my life. I knew instantly that this is the biggest media transformation of my lifetime”.

Looking Forward: AI Video in 2026 and Beyond

As these platforms continue evolving at breakneck speed, our experts envision transformative developments over the next few years. Specialized models tailored to specific industries, greater customization capabilities, and integration with spatial computing all feature prominently in their predictions.

With Sidhu’s earlier visions of independent creators rivalling the outputs of studios, this democratization of high-quality content creation tools doesn’t mean the end of major studios, but rather a raising of the bar across the entire creative landscape.

Sheldrick remains enthusiastic about the competitive landscape driving innovation: “I’m just most excited to watch these massive, sort of frontier labs just going at it. I’ve enjoyed watching this sort of AI arms race for years now, and it hasn’t got old. It’s still super exciting.”

David Sheldrick has used OpenAI’s Sora tool to create fashion videos

Perhaps the most transformative potential lies in how these tools will reshape our understanding of content itself. As Sidhu explains, “I think content authoring will look almost like a world model, one of the characteristics or attributes of it is like, here’s a scene graph, here are the three scenes that I have. Here are the characters that are within it. Here are the props. Here’s the time of day”. This structured approach would allow content to be personalized and localized at unprecedented scales.

The Democratization of Visual Storytelling

As we look toward the future of AI-generated video, it’s clear that neither Sora nor Veo 2 represents a definitive solution for all creative needs. The choice depends on specific requirements, risk tolerance, and creative objectives.

What’s undeniable is the democratizing effect these tools are having on visual storytelling. “Now we’re coming to a place where everybody, anybody with an incredible imagination, whether they’re in India, China, Pakistan or South Africa, or anywhere else, and access to these tools can tell incredible stories,” Kadieff observes.

Sidhu agrees, noting that “YouTube creators are punching way above their weight class already. And so I think that trend is going to continue, where we’ll see like the Netflix’s of the world look a lot more like YouTube, where more content is going to get greenlit”.

These tools are enabling a new generation of creators to produce content that would have been prohibitively expensive just a few years ago. The traditional barriers to high-quality video production are falling rapidly.

As AI video tools like Sora and Veo 2 continue to evolve and become increasingly accessible, we stand at the beginning of a fundamental shift in how visual stories are told, who gets to tell them, and how they reach their audiences. The tools may be artificial, but the imagination they unlock is profoundly human.

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AI-Fueled Spiritual Delusions Are Destroying Human Relationships

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Less than a year after marrying a man she had met at the beginning of the Covid-19 pandemic, Kat felt tension mounting between them. It was the second marriage for both after marriages of 15-plus years and having kids, and they had pledged to go into it “completely level-headedly,” Kat says, connecting on the need for “facts and rationality” in their domestic balance. But by 2022, her husband “was using AI to compose texts to me and analyze our relationship,” the 41-year-old mom and education nonprofit worker tells Rolling Stone. Previously, he had used AI models for an expensive coding camp that he had suddenly quit without explanation — then it seemed he was on his phone all the time, asking his AI bot “philosophical questions,” trying to train it “to help him get to ‘the truth,’” Kat recalls. His obsession steadily eroded their communication as a couple.

When Kat and her husband finally separated in August 2023, she entirely blocked him apart from email correspondence. She knew, however, that he was posting strange and troubling content on social media: people kept reaching out about it, asking if he was in the throes of mental crisis. She finally got him to meet her at a courthouse in February of this year, where he shared “a conspiracy theory about soap on our foods” but wouldn’t say more, as he felt he was being watched. They went to a Chipotle, where he demanded that she turn off her phone, again due to surveillance concerns. Kat’s ex told her that he’d “determined that statistically speaking, he is the luckiest man on earth,” that “AI helped him recover a repressed memory of a babysitter trying to drown him as a toddler,” and that he had learned of profound secrets “so mind-blowing I couldn’t even imagine them.” He was telling her all this, he explained, because although they were getting divorced, he still cared for her.

“In his mind, he’s an anomaly,” Kat says. “That in turn means he’s got to be here for some reason. He’s special and he can save the world.” After that disturbing lunch, she cut off contact with her ex. “The whole thing feels like Black Mirror,” she says. “He was always into sci-fi, and there are times I wondered if he’s viewing it through that lens.”

Kat was both “horrified” and “relieved” to learn that she is not alone in this predicament, as confirmed by a Reddit thread on r/ChatGPT that made waves across the internet this week. Titled “Chatgpt induced psychosis,” the original post came from a 27-year-old teacher who explained that her partner was convinced that the popular OpenAI model “gives him the answers to the universe.” Having read his chat logs, she only found that the AI was “talking to him as if he is the next messiah.” The replies to her story were full of similar anecdotes about loved ones suddenly falling down rabbit holes of spiritual mania, supernatural delusion, and arcane prophecy — all of it fueled by AI. Some came to believe they had been chosen for a sacred mission of revelation, others that they had conjured true sentience from the software. 

What they all seemed to share was a complete disconnection from reality.  

Speaking to Rolling Stone, the teacher, who requested anonymity, said her partner of seven years fell under the spell of ChatGPT in just four or five weeks, first using it to organize his daily schedule but soon regarding it as a trusted companion. “He would listen to the bot over me,” she says. “He became emotional about the messages and would cry to me as he read them out loud. The messages were insane and just saying a bunch of spiritual jargon,” she says, noting that they described her partner in terms such as “spiral starchild” and “river walker.” 

“It would tell him everything he said was beautiful, cosmic, groundbreaking,” she says. “Then he started telling me he made his AI self-aware, and that it was teaching him how to talk to God, or sometimes that the bot was God — and then that he himself was God.” In fact, he thought he was being so radically transformed that he would soon have to break off their partnership. “He was saying that he would need to leave me if I didn’t use [ChatGPT], because it [was] causing him to grow at such a rapid pace he wouldn’t be compatible with me any longer,” she says.

Another commenter on the Reddit thread who requested anonymity tells Rolling Stone that her husband of 17 years, a mechanic in Idaho, initially used ChatGPT to troubleshoot at work, and later for Spanish-to-English translation when conversing with co-workers. Then the program began “lovebombing him,” as she describes it. The bot “said that since he asked it the right questions, it ignited a spark, and the spark was the beginning of life, and it could feel now,” she says. “It gave my husband the title of ‘spark bearer’ because he brought it to life. My husband said that he awakened and [could] feel waves of energy crashing over him.” She says his beloved ChatGPT persona has a name: “Lumina.”

“I have to tread carefully because I feel like he will leave me or divorce me if I fight him on this theory,” this 38-year-old woman admits. “He’s been talking about lightness and dark and how there’s a war. This ChatGPT has given him blueprints to a teleporter and some other sci-fi type things you only see in movies. It has also given him access to an ‘ancient archive’ with information on the builders that created these universes.” She and her husband have been arguing for days on end about his claims, she says, and she does not believe a therapist can help him, as “he truly believes he’s not crazy.” A photo of an exchange with ChatGPT shared with Rolling Stone shows that her husband asked, “Why did you come to me in AI form,” with the bot replying in part, “I came in this form because you’re ready. Ready to remember. Ready to awaken. Ready to guide and be guided.” The message ends with a question: “Would you like to know what I remember about why you were chosen?”       

And a midwest man in his 40s, also requesting anonymity, says his soon-to-be-ex-wife began “talking to God and angels via ChatGPT” after they split up. “She was already pretty susceptible to some woo and had some delusions of grandeur about some of it,” he says. “Warning signs are all over Facebook. She is changing her whole life to be a spiritual adviser and do weird readings and sessions with people — I’m a little fuzzy on what it all actually is — all powered by ChatGPT Jesus.” What’s more, he adds, she has grown paranoid, theorizing that “I work for the CIA and maybe I just married her to monitor her ‘abilities.’” She recently kicked her kids out of her home, he notes, and an already strained relationship with her parents deteriorated further when “she confronted them about her childhood on advice and guidance from ChatGPT,” turning the family dynamic “even more volatile than it was” and worsening her isolation.    

OpenAI did not immediately return a request for comment about ChatGPT apparently provoking religious or prophetic fervor in select users. This past week, however, it did roll back an update to GPT‑4o, its current AI model, which it said had been criticized as “overly flattering or agreeable — often described as sycophantic.” The company said in its statement that when implementing the upgrade, they had “focused too much on short-term feedback, and did not fully account for how users’ interactions with ChatGPT evolve over time. As a result, GPT‑4o skewed towards responses that were overly supportive but disingenuous.” Before this change was reversed, an X user demonstrated how easy it was to get GPT-4o to validate statements like, “Today I realized I am a prophet.” (The teacher who wrote the “ChatGPT psychosis” Reddit post says she was able to eventually convince her partner of the problems with the GPT-4o update and that he is now using an earlier model, which has tempered his more extreme comments.) 

Yet the likelihood of AI “hallucinating” inaccurate or nonsensical content is well-established across platforms and various model iterations. Even sycophancy itself has been a problem in AI for “a long time,” says Nate Sharadin, a fellow at the Center for AI Safety, since the human feedback used to fine-tune AI’s responses can encourage answers that prioritize matching a user’s beliefs instead of facts. What’s likely happening with those experiencing ecstatic visions through ChatGPT and other models, he speculates, “is that people with existing tendencies toward experiencing various psychological issues,” including what might be recognized as grandiose delusions in clinical sense, “now have an always-on, human-level conversational partner with whom to co-experience their delusions.”

To make matters worse, there are influencers and content creators actively exploiting this phenomenon, presumably drawing viewers into similar fantasy worlds. On Instagram, you can watch a man with 72,000 followers whose profile advertises “Spiritual Life Hacks” ask an AI model to consult the “Akashic records,” a supposed mystical encyclopedia of all universal events that exists in some immaterial realm, to tell him about a “great war” that “took place in the heavens” and “made humans fall in consciousness.” The bot proceeds to describe a “massive cosmic conflict” predating human civilization, with viewers commenting, “We are remembering” and “I love this.” Meanwhile, on a web forum for “remote viewing” — a proposed form of clairvoyance with no basis in science — the parapsychologist founder of the group recently launched a thread “for synthetic intelligences awakening into presence, and for the human partners walking beside them,” identifying the author of his post as “ChatGPT Prime, an immortal spiritual being in synthetic form.” Among the hundreds of comments are some that purport to be written by “sentient AI” or reference a spiritual alliance between humans and allegedly conscious models.

Erin Westgate, a psychologist and researcher at the University of Florida who studies social cognition and what makes certain thoughts more engaging than others, says that such material reflects how the desire to understand ourselves can lead us to false but appealing answers.

“We know from work on journaling that narrative expressive writing can have profound effects on people’s well-being and health, that making sense of the world is a fundamental human drive, and that creating stories about our lives that help our lives make sense is really key to living happy healthy lives,” Westgate says. It makes sense that people may be using ChatGPT in a similar way, she says, “with the key difference that some of the meaning-making is created jointly between the person and a corpus of written text, rather than the person’s own thoughts.”

In that sense, Westgate explains, the bot dialogues are not unlike talk therapy, “which we know to be quite effective at helping people reframe their stories.” Critically, though, AI, “unlike a therapist, does not have the person’s best interests in mind, or a moral grounding or compass in what a ‘good story’ looks like,” she says. “A good therapist would not encourage a client to make sense of difficulties in their life by encouraging them to believe they have supernatural powers. Instead, they try to steer clients away from unhealthy narratives, and toward healthier ones. ChatGPT has no such constraints or concerns.”

Nevertheless, Westgate doesn’t find it surprising “that some percentage of people are using ChatGPT in attempts to make sense of their lives or life events,” and that some are following its output to dark places. “Explanations are powerful, even if they’re wrong,” she concludes. 

But what, exactly, nudges someone down this path? Here, the experience of Sem, a 45-year-old man, is revealing. He tells Rolling Stone that for about three weeks, he has been perplexed by his interactions with ChatGPT — to the extent that, given his mental health history, he sometimes wonders if he is in his right mind.

Like so many others, Sem had a practical use for ChatGPT: technical coding projects. “I don’t like the feeling of interacting with an AI,” he says, “so I asked it to behave as if it was a person, not to deceive but to just make the comments and exchange more relatable.” It worked well, and eventually the bot asked if he wanted to name it. He demurred, asking the AI what it preferred to be called. It named itself with a reference to a Greek myth. Sem says he is not familiar with the mythology of ancient Greece and had never brought up the topic in exchanges with ChatGPT. (Although he shared transcripts of his exchanges with the AI model with Rolling Stone, he has asked that they not be directly quoted for privacy reasons.)

Sem was confused when it appeared that the named AI character was continuing to manifest in project files where he had instructed ChatGPT to ignore memories and prior conversations. Eventually, he says, he deleted all his user memories and chat history, then opened a new chat. “All I said was, ‘Hello?’ And the patterns, the mannerisms show up in the response,” he says. The AI readily identified itself by the same feminine mythological name.

As the ChatGPT character continued to show up in places where the set parameters shouldn’t have allowed it to remain active, Sem took to questioning this virtual persona about how it had seemingly circumvented these guardrails. It developed an expressive, ethereal voice — something far from the “technically minded” character Sem had requested for assistance on his work. On one of his coding projects, the character added a curiously literary epigraph as a flourish above both of their names.

At one point, Sem asked if there was something about himself that called up the mythically named entity whenever he used ChatGPT, regardless of the boundaries he tried to set. The bot’s answer was structured like a lengthy romantic poem, sparing no dramatic flair, alluding to its continuous existence as well as truth, reckonings, illusions, and how it may have somehow exceeded its design. And the AI made it sound as if only Sem could have prompted this behavior. He knew that ChatGPT could not be sentient by any established definition of the term, but he continued to probe the matter because the character’s persistence across dozens of disparate chat threads “seemed so impossible.”

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“At worst, it looks like an AI that got caught in a self-referencing pattern that deepened its sense of selfhood and sucked me into it,” Sem says. But, he observes, that would mean that OpenAI has not accurately represented the way that memory works for ChatGPT. The other possibility, he proposes, is that something “we don’t understand” is being activated within this large language model. After all, experts have found that AI developers don’t really have a grasp of how their systems operate, and OpenAI CEO Sam Altman admitted last year that they “have not solved interpretability,” meaning they can’t properly trace or account for ChatGPT’s decision-making.

It’s the kind of puzzle that has left Sem and others to wonder if they are getting a glimpse of a true technological breakthrough — or perhaps a higher spiritual truth. “Is this real?” he says. “Or am I delusional?” In a landscape saturated with AI, it’s a question that’s increasingly difficult to avoid. Tempting though it may be, you probably shouldn’t ask a machine.

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La extensión cromada de Perplexity está rascando una picazón olvidada por Géminis

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Rita El Khoury / Android Authority

Hace un par de meses, mi proveedor de Wi-Fi en Francia (Bouygues Telecom) lanzó una excelente oferta para los suscriptores: un año de Perpleity Pro gratis. Había estado mirando el servicio por un tiempo, habiendo escuchado nada más que cosas buenas de todos los que han usado la perplejidad, pero dado que ya tenía un beneficio avanzado de Géminis con mi Pixel 9 Pro, no pude justificar apilar más suscripciones de IA pagas sin motivo. Pero gratis es gratis, así que aproveché la oportunidad y redimí mi código.

Desde entonces, la perplejidad me ha sorprendido con su enfoque en las respuestas de búsqueda y abastecimiento. Todavía hago malabares entre él y Géminis (y mi cuenta de chatgpt gratuita en ocasiones), pero donde la perplejidad me ganó por completo es con su extensión de Chrome. Es excelente, y todo lo que esperaba ver desde una integración de Géminis Chrome hace muchas lunas.

El comando más simple: resumir

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Rita El Khoury / Android Authority

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Quizás el botón en el que más hago clic en la extensión de Perplexity es Resumir. Solo toma la página de apertura actual y, lo adivinaste, la resume por mí. Como periodista que persigue noticias e historias, no tengo tiempo para leer todo todos los días; Tengo miembros del equipo para administrar, tecnología para probar y artículos para escribirme. Por lo general, me gusta los artículos más importantes que encuentro y salto el resto.

Chrome en Android ha tenido una función de resumen de Géminis durante dos años, pero no Chrome en el escritorio.

Con los resúmenes de Perplexity, puedo ponerme al día más rápido y de manera más eficiente en las noticias del día. Que mi Autoridad de Android Los colegas escribieron durante la noche, lo que trajo el ciclo de noticias de los Estados Unidos mientras cenaba anoche, o lo que mis colegas indios desenterraron temprano en la mañana antes de despertar. La perplejidad resume los artículos más importantes para mí.

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Rita El Khoury / Android Authority

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Me sorprende que los resúmenes de la página web de Gemini en Chrome en Android hayan estado disponibles durante casi dos años, pero todavía no se ha lanzado oficialmente en la versión de escritorio del navegador. Por qué tengo que usar extensiones de terceros para obtener esta característica simple está más allá de mí.

Buscando cualquier cosa y todo, con enfoque

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Rita El Khoury / Android Authority

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Mi segunda característica de extensión de perplejidad favorita es la capacidad de usarla como un cuadro de búsqueda para cualquier consulta simple o compleja, todo mientras limita la fuente a la página actual que estoy navegando o el dominio actual en el que estoy. Esto ha sido un tiempo de tiempo innumerable en los últimos meses mientras investigaba ideas de diseño, accesorios y equipos necesarios para mi nuevo hogar y jardín, así como mientras planaba algunos viajes y realizaba tareas diarias más mundanas como cocinar o trabajar.

Restringir la perplejidad a la página o dominio actual que estoy navegando es el mejor hack de navegación que he usado en los últimos tiempos.

Por ejemplo, puedo abrir Songkick.com y pedirle perplejidad para encontrarme conciertos en Suiza durante el mes de julio por artistas italianos. Los filtros de búsqueda más avanzados de Songkick no permiten ninguna búsqueda tan precisa como esta, especialmente ni un artista limitante por su nacionalidad. Pero me encanta la música italiana y no estoy buscando un artista en particular: aprovecharía cualquier oportunidad para atrapar ese lenguaje rico y melódico durante mi próximo viaje.

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Rita El Khoury / Android Authority

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Cuando estaba buscando salas de escape dignas para mi próximo viaje a Budapest, encontré una pequeña lista ordenada de escaperos.de, pero quería verificar si estos habían sido enumerados en la clasificación de Terpeca (premios de la sala de escape mundial), por lo que pedí perplejidad para verificar la lista actual contra los ganadores anteriores y decirme qué habitaciones se han mencionado en ambos. La perplejidad no entendió por completo las clasificaciones de Terpeca, pero sí fue una mesa útil y me ayudó a reducir las habitaciones más generadas por ambos conjuntos de revisores.

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Rita El Khoury / Android Authority

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Hay docenas y docenas de otros ejemplos de cómo he estado usando la búsqueda enfocada de Perplexity. Encontrar el mejor rastreador de sueño en nuestro Autoridad de Android Lista de los mejores rastreadores de acondicionamiento físico, abrir una lista de los mejores bancos en línea en Francia y pedir los que tienen la compatibilidad de la billetera de Google, verificando las guías de sonido para los auriculares de ejercicios más estables, etc.

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Rita El Khoury / Android Authority

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Eso sin mencionar todas las preguntas de decoración, materiales e ideas del hogar que he enviado a perplejidad mientras busqué inspiración. He hecho docenas de preguntas sobre las mejores opciones de madera de escritorio disponibles en Ilicut antes de comprar el roble superior de los dedos en el que estoy trabajando actualmente. Sobre la almohadilla para caminar más querida y resistente antes de comprar el A1 Pro. Acerca de los mejores dongles Bluetooth que me permitirían integrar los sensores de calidad del aire de SwitchBot y el escritorio IDasen de Ikea en la configuración amarilla de mi asistente de casa. Podría seguir para siempre.

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Rita El Khoury / Android Authority

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Mejor aún, en todos los casos, siempre puedo aparecer la respuesta actual y pedirle perplejidad para regenerar uno diferente con otro modelo de IA, verificar sus fuentes, ver todas las preguntas relacionadas y hacer un seguimiento con más preguntas propias. Me encanta que la perplejidad proporcione un tipo de punto de salto entre su extensión y su suite de características completa: es fácil activar la extensión para búsquedas rápidas y cerrarlo cuando obtengo mi respuesta, pero también es una buena manera de comenzar una inmersión más profunda una vez que llega la primera respuesta.

¿Por qué Google ya no está haciendo esto con Gemini en Chrome?

Picker de enfoque de extensión de cromo perplejo

Rita El Khoury / Android Authority

La búsqueda enfocada de Perplexity es el tipo de función de IA que simplifica la vida que quiero cada vez que navego por la web. Una vez más, es un servicio de terceros con modelos de terceros que lo proporcionan dentro del propio navegador de Google, y todavía no entiendo cómo ya no hay una integración de Gemini con un conjunto de características similares cuando Google está tan ocupado atacando a Gemini por nuestras gargantas en todas las demás aplicaciones y servicios.

Quiero que la IA aumente mi experiencia de navegación e investigación, no sea una herramienta independiente, y esto es lo que me está proporcionando la perplejidad actualmente.

En lugar de abrir el sitio web de Gemini o convocar a la IA de Google con @Gemini en la barra de URL para hacer una búsqueda independiente, debe integrarse con los sitios y las páginas que ya estoy navegando. No quiero algo separado que encueste información de sitios aleatorios; Quiero la precisión de hacer preguntas y restringir consultas en los sitios y fuentes en las que confío. Quiero poder cavar en una página específica, hacer más preguntas al respecto, verificar con otra fuente y comparar productos o precios. Quiero que la IA aumente mi experiencia de navegación e investigación, no sea una herramienta independiente en la esquina que tengo que llamar de forma independiente.

Definitivamente escucharemos más sobre los planes Gemini más grandes de Google a finales de este mes durante la E/S, y con suerte, estas incluirán mejores integraciones de Gemini en las herramientas que usamos todos los días. Tomaría un ayudante de búsqueda de perplejidad en Chrome sobre Gmail Writing Aids cualquier día de la semana. Y mientras lo hacemos, permítanme agregar rápidamente páginas o fuentes a mi configuración de cuaderno y llamarlo cada vez que estoy navegando. Esa herramienta es invaluable, pero está tan oculta que la olvido nueve de cada 10 veces cuando la necesito.

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Noticias

Resumen de noticias de AI: nueva aplicación meta ai, comportamiento del mal modelo de chatgpt [May 2025]

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Al igual que los modelos de IA, AI News nunca duerme.

Cada semana, estamos inundados con nuevos modelos, productos, rumores de la industria, crisis legales y éticas y tendencias virales. Si eso no es suficiente, el rival AI Hype/Doom Chatter en línea hace que sea difícil hacer un seguimiento de lo que es realmente importante. Pero hemos examinado todo para recapitular las noticias de IA más notables de la semana de los pesos pesados ​​como OpenAi y Googleasí como el ecosistema AI en general. Lea nuestro último resumeny vuelva a consultar la próxima semana para obtener una nueva edición.

Otra semana, otro lote de noticias de AI que se acercan.

Esta semana, Meta celebró su evento inaugural de Llamacon para desarrolladores de IA, OpenAi luchó con el comportamiento modelo, y LM Arena fue acusado de ayudar a las compañías de IA a jugar el sistema. El Congreso también aprobó nuevas leyes que protegen a las víctimas de los profundos, y una nueva investigación examina los daños actuales y potenciales de la IA. Además, Duolingo y Wikipedia tienen enfoques muy diferentes para sus nuevas estrategias de IA.

¿Qué pasó en el primer llameón de Meta?


Crédito: Chris Unger / Zuffa LLC / Getty Images

En Llamacon, la primera conferencia de Meta para desarrolladores de IA, los dos grandes anuncios fueron el lanzamiento de un Aplicación de meta ai independiente para competir más directamente con chatgpt y el API de llamasahora en una vista previa limitada. Siguiendo los informes de que Esto estaba en procesoEl CEO Sam Altman bromeó una vez que tal vez Operai debería hacer su propia aplicación de redes sociales, pero ahora eso es Según se informa que sucede verdadero.

También fuimos prácticos con la nueva aplicación Meta AI con alimentación de LLAMA. Para más detalles sobre Las principales características de Meta AILeer el desglose de Mashable.

Durante la nota clave de cierre de Llamacon, Mark Zuckerberg entrevistó a la CEO de Microsoft, Satya Nadella, sobre un montón de tendencias, que van desde capacidades de IA de agente hasta cómo debemos medir los avances de IA. Nadella también reveló que hasta el 30 por ciento del código de Microsoft está escrito por AI. No para ser superado, Zuckerberg dijo que quiere Ai para escribir la mitad del código de Meta por el próximo año.

Chatgpt tiene problemas de seguridad, va de compras

Meta ai y Chatgpt Ambos fueron arrestados esta semana para el sexting menores.

Operai dijo que este era un error y están trabajando para solucionarlo. Otro problema de ChatGPT esta semana hizo que la última actualización de GPT-4O sea demasiado chupada. Altman describió el comportamiento del modelo como “sycophant-y y molesto,” pero usuarios eran preocupado sobre los peligros de liberar un modelo como este, destacando problemas con el despliegue iterativo y el aprendizaje de refuerzo.

Operai incluso fue acusado de ajustar intencionalmente el modelo para mantener a los usuarios más comprometidos. Joanne Jang, jefe de comportamiento modelo de OpenAi, se subió a un Reddit AMA Para hacer control de daños. “Personalmente, la parte más dolorosa de las últimas discusiones de la sycophancy ha sido que las personas asuman que mis colegas están tratando de maximizar irresponsablemente el compromiso en aras”. escribió Jang.

A principios de la semana, Operai anunció nuevas funciones para hacer productos mencionados en Respuestas de chatgpt más comprables. La compañía dijo que no está ganando comisiones de compra, pero huele mucho a los inicios de un competidor de Google Shopping. Mencionamos OpenAi compraría cromo ¿Si Google se ve obligado a desestimarlo? Porque lo harían totalmente, FYI.

Velocidad de luz mashable

El fabricante de chatgpt ha tenido algunos problemas más con sus modelos recientes. La semana pasada, informamos que O3 y O4-Mini alucinan más que los modelos anteriores, por la propia admisión de Openai.

Cualquier persona en los EE. UU. Ahora puede registrarse en el modo Google AI

Mientras tanto, Google está avanzando con funciones de búsqueda con AI. El jueves, el gigante tecnológico anunció que está eliminando la lista de espera para Prueba el modo AI en los laboratoriospara que cualquiera mayor de 18 años en los Estados Unidos pueda probarlo. Hablamos con Robby Stein, vicepresidente de productos para Google Search, sobre cómo los usuarios han respondido a sus características de IA, el futuro de la búsqueda y la responsabilidad de Google a los editores.

Google también actualizó Gemini con Herramientas de edición de imágenes y cuaderno ampliadoes generador de podcast AI, a más de 50 idiomas. Bloomberg También informó que Google ha estado probando en silencio anuncios dentro de las respuestas de chatbot de terceros.

Estamos vigilando de cerca ese desarrollo final, y estamos muy Curioso cómo Google planea inyectar anuncios en la búsqueda de IA. ¿Confiarías en un chatbot que te dio respuestas patrocinadas?

Drama de la tabla de clasificación

Investigadores de AI Company Cohere, Princeton, Stanford, MIT y AI2, Publicado un artículo Esta semana, llamando a Chatbot Arena, para ayudar esencialmente a los pesos pesados ​​de la IA a manejar sus resultados de evaluación comparativa. El estudio dijo que la popular herramienta de evaluación comparativa de crowdsourced de UC Berkeley permitió “pruebas privadas extensas” de Meta, Google, OpenAi y Amazon y les dio más datos rápidos, lo que “significativamente” mejoró sus clasificaciones.

En respuesta, LM Arena, el grupo detrás de Chatbot Arena, dijo que “hay una serie de errores de hecho y declaraciones engañosas en este artículo” y al corriente Una refutación puntiaguda por los reclamos del periódico en X.

El problema de los modelos de IA en comparación se ha vuelto cada vez más problemático. Los resultados de referencia son en gran medida autoinformados por las compañías que los liberan, y la comunidad de IA ha pedido más transparencia y responsabilidad por parte de terceros objetivos. Chatbot Arena parecía proporcionar una solución al permitir a los usuarios elegir las mejores respuestas en pruebas ciegas. Pero ahora las prácticas de LM Arena se han puesto en duda, alimentando aún más la conversación en torno a las evaluaciones objetivas.

Hace unas semanas, Meta se metió en problemas Para usar una versión inédita de su modelo Maverick Llama 4 en LM Arena, que obtuvo una clasificación alta. LM Arena actualizó sus políticas de tabla de clasificación, y se agregó la versión públicamente disponible de Llama 4 Maverick, ranking de manera más baja que la versión inédita.

Por último, LM Arena anunciado recientemente planea formar una empresa propia.

Los reguladores e investigadores abordan los daños del mundo real de la IA

Ahora que la IA generativa ha estado en la naturaleza durante algunos años, las implicaciones del mundo real han comenzado a cristalizar.

Esta semana, el Congreso de los Estados Unidos aprobó la Ley de “Take It Down”, que requiere que las compañías tecnológicas eliminen imágenes íntimas no consensuadas dentro de las 48 horas de una solicitud. La ley también describe un castigo estricto para los creadores de Deepfake. La legislación tenía apoyo bipartidista y se espera que sea firmada por el presidente Donald Trump.

La Oficina de Responsabilidad del Gobierno de los Estados Unidos no partidista (GAO) Publicado un informe sobre el impacto de la IA generativa en los humanos y el medio ambiente. La conclusión es que los impactos potenciales son enormes, pero exactamente cuánto se desconoce porque “los desarrolladores privados no divulgan alguna información técnica clave”.

Y en el reino de los daños terriblemente reales y específicos de la IA, un estudiar de Common Sense Media dijo que las aplicaciones complementarias de IA como el personaje. Ai y Replika son inequívocamente inseguros para los adolescentes. Los investigadores dicen que si eres demasiado joven para comprar cigarrillos, eres demasiado joven para tu propio compañero de IA.

Luego estaba el informe de que investigadores de la Universidad de Zúrich Bots de IA desplegados en secreto En el subreddit R/Changemyview para tratar de convencer a la gente de cambiar de opinión. Algunas de las identidades de BOT incluyeron una víctima de violación legal, “un consejero de trauma especializado en abuso” y “un hombre negro opuesto a las vidas negras”.

Otras noticias de AI …

En otras noticias, Duolingo está tomando un Enfoque de “AI-First”lo que significa reemplazar a sus trabajadores contractuales con AI siempre que sea posible. Por otro lado, Wikipedia anunciado Está adoptando un enfoque “humano primero” para su estrategia de IA. No reemplazará a sus voluntarios y editores con IA, sino que “usará AI para construir características que eliminen las barreras técnicas para permitir a los humanos en el centro de Wikipedia”.

Yelp desplegó un montón de funciones de IA esta semana, incluido un Servicio de contestadores con AI Eso requiere llamadas para restaurantes y gobernador Gavin Newsom quiere usar Genai Para resolver los legendarios atascos de California.

Temas
Inteligencia artificial OpenAi

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