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On SC-1 race, Helene, ChatGPT, lying – Statehouse Report

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STATEHOUSE REPORT |  ISSUE 23.41  | Oct. 11, 2024

BIG STORY: SC-1 is state’s most competitive congressional race
MORE NEWS:  Legislature won’t return for Helene session
LOWCOUNTRY, Ariail: Retirement
COMMENTARY, Brack: Game of the week:  Which is the robot?
SPOTLIGHT: S.C. Education Association
ANOTHER VIEW: Lies, damn lies and Hurricane Helene
MYSTERY PHOTO: Shiny floor
FEEDBACK: Send us your thoughts

BIG STORY

SC-1 is state’s most competitive congressional race

Moore and Mace are running to represent voters along the coast.

Editor’s Note:  This story was first published in the Charleston City Paper.

By Jack O’Toole, Capitol bureau  |  Conventional political wisdom in South Carolina says that incumbent GOP U.S. Rep. Nancy Mace of Isle of Palms effectively won reelection to represent the First Congressional District in May. That’s when six conservative U.S. Supreme Court justices ruled her highly gerrymandered, overwhelmingly Republican district was legal.

But her Democratic opponent, businessman and former International African American Museum President Michael B. Moore, says in this case, at least, the conventional wisdom is just plain wrong.

“We’re pulling together a broad coalition of Democrats, of course, but also of independents and moderate Republicans,” Moore told the City Paper in a recent  interview. “What I’m hearing is that Nancy [Mace] has worn out her welcome with all the antics and media attention, and that voters are looking for someone who really wants the job.”

The City Paper asked Mace’s campaign office for an interview about the election, but was rebuffed.

Congressional stunts

The “antics” Moore alluded to have been a core feature of the Mace brand since she arrived in the Capitol in 2021. Whether it was walking the halls of Congress with a scarlet letter “A” affixed to her dress, or lamenting a missed opportunity for morning sex at the National Prayer Breakfast, or joining with a band of rogue Republicans to bring down a House Speaker of her own party, Mace is an attention magnet. And as a result, the outsized press coverage she gets has made her a lightning rod for criticism, even among fellow conservatives.

“Watching Mace continue to embarrass herself is both amusing as an observer of D.C. and sad on a human level,” conservative commentator Jeffrey Blehar wrote recently in the National Review, adding that the combination of political calculation and attention-seeking behavior have made her “the Ted Cruz of Lauren Boeberts.”

But Mace has said she’s not fighting for attention, she’s fighting for her constituents – and getting things done, according to reports.

“When Hamas invaded Israel, my team worked around the clock to help evacuate over two dozen Lowcountry residents who were stranded in Israel,” Mace noted in a Sept. 23 forum. “I take on the tough fights … [and] whether you vote for me or not, I work for you.”

Contrasting styles and issues

The Sept. 23 forum, hosted by the Charleston Jewish Federation, gave both candidates an opportunity to focus on what they saw as critical issues in the race.

Moore.

For Moore, that meant challenging the incumbent on issues like abortion, where Mace has sought to present herself as a moderate.

“Look, it’s fine to talk one way, but you’ve got to look at how someone votes,” Moore said. “When you vote against [codifying] Roe v. Wade, when you vote against laws that would allow IVF, when you vote against women in the military having access to reproductive care, it doesn’t matter what you say. Your votes stand on their own.”

For her part, Mace drew a hard line on the issue of illegal immigration, where Moore favors combining strong border security with a pathway to citizenship.

“I believe that if you’re here illegally, you gotta go home,” Mace said during the forum. “We have a process to come here legally and earn the right to citizenship and we need to follow our laws – full stop.”

The other major area of contention during the debate was flooding, where Mace touted her record of bringing home the bacon for major projects.

“I’ve worked with all levels of government, from the governor’s office down to our mayors and county supervisors, to find authorizations and funding,” Mace said. “One of the things I’m most proud of in the work I’ve done in Congress is being able to identify grant funding … for stormwater development and flooding.”

But Moore wasn’t buying it, noting Mace has been called a “climate denier” by major environmental groups, and pointing to a study that says the 1st Congressional District faces greater threats from climate change than any other in the country.

“This is a hair-on-fire moment,” Moore said. “We have to get serious about this.”

But does Moore have a path?

In 2020, Mace narrowly defeated then-incumbent Democratic U.S. Rep. Joe Cunningham in what was then a competitive district. The following year, Republican supermajorities in the state legislature redrew the lines, moving about 30,000 Black voters into different congressional districts. Mace then went on to win reelection against Annie Andrews by 14 points in 2022 – almost exactly the Republican numerical advantage created by the legislature.

The new district was initially struck down in 2023 by a federal court, which found that it illegally disenfranchised Black voters. But earlier this year, the U.S. Supreme Court ruled 6-3 that the district could stand because the gerrymandering was motivated by partisan politics rather than race, per se.

But Moore – the great-great grandson of Reconstruction-era icon Robert Smalls, who represented the Lowcountry in Congress in the 1880s before Jim Crow disenfranchised Blacks across the South – says he still sees a legitimate path to victory. 

First, he says, as a successful entrepreneur with a master’s degree in business administration from Duke University he “speaks moderate Republican” better than most Democrats – a key strength in the 1st District.

“Nikki Haley beat Donald Trump in the presidential primary here,” Moore said. “This isn’t a MAGA district. So independents and moderate Republicans are an important part of the puzzle for us.”

And second, he believes  Vice President Kamala Harris’s presence at the top of the ticket will work alongside his own to increase turnout in the minority community. 

“In the last cycle, if Dr. Andrews had gotten just half of the voters of color in the district [out to the polls], she’d have won,” Moore said. “So, we’ve been out engaging with voters broadly, but also working hard to inspire and give voters of color a reason to vote.”

That’s the path through the heavily gerrymandered district as Moore sees it. Voters will determine whether he – or the conventional wisdom – is right when they go to the polls Nov 5.

MORE NEWS

Legislature won’t return for Helene special session

By Jack O’Toole, Capitol bureau  |   S.C. legislative leaders say they currently see no need for a special session this year to provide additional resources for Hurricane Helene relief.

Instead, Senate President Thomas Alexander (R-Oconee) and House Speaker Murrell Smith (R-Sumter) told reporters this week that the legislature will take up the issue when members return in regular session next year.

“Our work will start in January, addressing what is necessary for us from a financial standpoint as we have more time to evaluate the damage,” Alexander said.

Smith noted that putting off the issue will allow agencies to get a better understanding of the full needs and costs related to the storm, which has claimed 49 lives to date in the Palmetto State.

“We don’t know what the cost is. We don’t know what the timeline is,” he said. “When all that comes to fruition, you’ll see both our [budget] chairmen work on those issues and they’ll give it top priority.”

Meanwhile, Smith said, the state can rely on about $300 million in reserves earmarked for emergencies.  Earlier in the week, leaders said damages had surpassed $250 million, but assessments are ongoing.

“South Carolina is prepared, and the good news about this is we have prepared for these events over the last few budget cycles,” Smith said.

In addition to state resources, President Joe Biden has declared a state of emergency in South Carolina and in more than half the state’s counties, with $65 million in federal aid already approved.  On Oct. 9, Gov. Henry McMaster signed an executive order extending the state’s own emergency declaration another 15 days.

“We will work as long as it takes to ensure all South Carolinians get the support they need,” McMaster said in a social media post.

In other recent news

Condemned inmate wants someone other than the S.C. governor to decide clemency. A South Carolina inmate scheduled to be executed in just over three weeks is asking a federal judge to take away the power of granting clemency from the governor and place it with a parole board.

S.C. joins 19 other states in nursing home lawsuit. South Carolina has joined 19 other states in suing the Biden administration to block the implementation of new staffing requirements at nursing homes. Meanwhile, S.C. has also joined 13 other states in suing the popular video app TikTok for deceptive business practices.

Heart disease rising in S.C., experts say. According to the S.C. Department of Public Health, more than 11,000 people died in South Carolina from heart disease in 2020. More recent federal data suggests the problem is getting worse. The Centers for Disease Control and Prevention (CDC), reported heart disease deaths surpassed 12,000 in 2021.

S.C. agency, college leaders get raises as high as $64k. Nearly 40 state agency directors and public college presidents in South Carolina received raises Tuesday totaling more than $720,000.

S.C. legislator to spotlight mental health in new documentary. S.C. Rep. Jermaine Johnson, D-Richland, is releasing a new documentary about his life, titled “I Got Myself a Yard,” to help start a conversation and overcome the stigma around mental illness.

S.C. farmers face extensive damage to livestock, crops. Exactly how much damage Hurricane Helene caused to farms across the state is still unclear. From what researchers surveying the effects have heard so far, though, some farmers suffered devastating losses that will set them back years. 

S.C. judge extends voter registration deadline to Oct. 14. A state court judge ruled residents will have a few more days to register to vote after interruptions caused by Hurricane Helene.

LOWCOUNTRY, by Robert Ariail

Retirement

Nationally award-winning cartoonist Robert Ariail always has an interesting take.  This week, he takes on members of the U.S. Congress from South Carolina who have been squawking for federal disaster aid after voting to defund the Federal Emergency Management Agency.

COMMENTARY   

Game of the week:  Which is the robot?

By Andy Brack We live in an American era now when the little white lies that people tell are exploding everyday into big colorful tall tales. 

You can see outright lies daily in political discourse in Congress.  On television. In the media.  And recently, lies soared as some people tried to take political advantage of storm tragedies when spreading filth that federal disaster aid was being provided in a partisan manner.  It just isn’t, according to mainstream Republicans and Democrats. 

There’s no single reason for the extra doses of lies, disinformation, misinformation, falsehoods and downright lies that assault us everyday.  But the answer more than likely lies (no pun intended) at the intersection of a culture moving too fast, easy access to information that can be corrupted, immoral people using the internet to cause division, and a current political environment in which lying has become more common.

So when a pretty smart high school student lamented about how peers often use ChatGPT to generate human-like responses for assignments, we saw yet another instance about how too many students now seem to think it’s acceptable to turn in work that’s not their own. (We call that plagiarism.)

If you want to see how easy it is to use an automated tool to do your work for you, we asked this of ChatGPT:

  • Write a 200-word commentary for a South Carolina newspaper on why it is bad to lie.

Read both options and then figure out which a human wrote.

Option One:  Lying erodes trust and undermines S.C.

Lying, regardless of intent, erodes trust and undermines the very foundation of our relationships and communities. In South Carolina, where our values are steeped in integrity and respect, dishonesty can have far-reaching consequences. When we lie, we not only deceive others but also create a cycle of mistrust that can lead to isolation and conflict.

In personal relationships, honesty fosters open communication and understanding. When lies are uncovered, they can lead to heartbreak, resentment, and a breakdown of connection. In professional settings, integrity is crucial; a culture of dishonesty can stifle collaboration and innovation, ultimately harming productivity and morale.

Moreover, lies can have societal implications. They can distort public opinion, fuel division, and erode confidence in institutions. In a time when misinformation spreads rapidly, the responsibility to uphold the truth becomes even more critical.

South Carolinians pride ourselves on our sense of community and shared values. By committing to honesty, we strengthen our bonds and create an environment where trust can flourish. Embracing transparency not only benefits individual relationships but also cultivates a more cohesive society. In a world that often feels divided, let us choose truth as our guiding principle.

Option Two:  Lying hurts society and is a moral wrong

For our society to function, people need to be able to trust what others say.  In South Carolina, which has a centuries-old tradition of seeking to follow the Bible Ten Commandments, people are reminded at churches that they should follow these commandments, the ninth of which is about lying when it says “Thou shalt not bear false witness against thy neighbor.”

Lying hurts social order and fosters its breakdown because people have a more difficult time in knowing what’s real and what’s not.  That can lead to the destruction of interpersonal relationships and impact how people interact with each other.

Some might argue that it’s OK to tell small lies to make some difficult situations easier.  For example, a child of an elderly parent might tell people that he or she passed away peacefully when in fact the person went through great pain and stress.  But many psychologists say that telling these “white lies” cause small breakdowns in our society.

For a civil society with democratic institutions, South Carolinians deserve honest interactions at work and school and with neighbors, employers and employees.  If we succumb to dishonesty, we cause erosion of institutions in Palmetto State South Carolina.  We must choose truth over lies. 

If you picked Option Two as the one written by a human, you’d be correct.  (Note, however, that a couple of mistakes were added intentionally to make it look like ChatGPT!)

Bottom line:  Candidates, students and people meeting for coffee need to stick to the truth and their own work.  It’s what makes our democracy strong.

Andy Brack is editor and publisher of Statehouse Report and the Charleston City Paper.   Have a comment? Send to: feedback@statehousereport.com.

SPOTLIGHT

S.C. Education Association

The SCEAThe public spiritedness of our underwriters allows us to bring Statehouse Report to you at no cost. This week’s spotlighted underwriter is The South Carolina Education Association(The SCEA), the professional association for educators in South Carolina. Educators from pre-K to 12th grade comprise The SCEA. The SCEA is the leading advocate for educational change in South Carolina. Educators in South Carolina look to The SCEA for assistance in every aspect of their professional life. From career planning as a student to retirement assessment as a career teacher, The SCEA offers assistance, guidance, and inspiration for educators.

ANOTHER VIEW

Lies, damn lies and Hurricane Helene

A September 1940 photo northwest of Ashevlle, N.C., of a farm house along creek bed in a flooded area.  Library of Congress photo by Marion Post Wolcott.

Editor’s Note:  Here’s an editorial that will run online Sunday in the Charleston City Paper.  We thought you’d like an advance peek.

As millions of our fellow countrymen got about the grim business of survival in the aftermath of Hurricane Helene – praying for rescue, finding food and water, grieving the dead – Georgia Republican Congresswoman Marjorie Taylor Greene shared her thoughts on the tragedy.

“Yes, they can control the weather,” Greene wrote in an Oct. 3 social media post, after noting Helene had devastated mostly Republican areas. “It’s ridiculous for anyone to lie and say it can’t be done.”

Seriously. That’s what she said. Not “our hearts go out to the victims.” Not “here’s what we’re doing to help.” Not even a bland but inoffensive offer of “thoughts and prayers.”

Just more of the same conspiracy-mongering partisan bile. 

But as awful as that was, we probably wouldn’t be discussing it if Greene were the only one trying to tear the country apart with lies and damned lies in the wake of Helene’s onslaught. After all, this is the same congresswoman who once warned America of the dangers of Jewish space lasers. In the parlance of mental health professionals, she’s a loon.

But sadly, she’s not  the only one whipping up conspiracy theories about Helene. In fact, former President Donald Trump gleefully spread a few of his own at an Oct. 3 Michigan rally when he untruthfully accused his Democratic opponent, Vice President Kamala Harris, of misusing  relief money. 

“Kamala spent all her FEMA money, billions of dollars, on housing for illegal migrants,” Trump said, somehow managing to squeeze at least three lies into a single short sentence. 

But the hurricane conspiracies don’t stop there. Indeed, the problem has gotten so out of control in the far-right fever swamps of social media that state and local GOP officials are practically begging their own supporters to stand down before the cyclone of misinformation gets somebody killed.

“Friends, can I ask a small favor?” N.C. Republican State Sen. Kevin Corbin wrote in a  Facebook post. “Will you all help STOP this conspiracy theory junk that is floating all over Facebook and the internet about the floods in WNC? …. PLEASE help stop this junk. It is just a distraction to people trying to do their job.”

Here in South Carolina, a clearly frustrated Gov. Henry McMaster added, “We ask people not to listen to rumors. … Don’t get your information from these unofficial sources, because 99% of the time, they’re wrong.”

And federal emergency officials have grown so concerned about the damage these lies can do to response and recovery efforts that they’ve created a Helene Rumor Response page on the FEMA website. 

Among the social-media fueled falsehoods it debunks: 

  • No, the relief money wasn’t spent on illegal immigrants. 
  • No, FEMA isn’t confiscating anyone’s property. 
  • And no, White people aren’t being denied benefits on the basis of their skin color. 

To combat the hurricane hogwash, FEMA recommends that citizens carefully identify trustworthy sources of news – like the old-fashioned traditional media that vets information – and only share from those outlets. 

Our advice would be even simpler: Get back to trusting the trained professionals who ask tough questions and sort through complicated information to spread the truth – not the yahoos, domestic and foreign, who want to mislead you.

MYSTERY PHOTO

Shiny floor

Here’s the interior of a building somewhere in South Carolina.  Where is it and what’s its importance, if any?  Send your name, hometown and guess to: feedback@statehousereport.com.  

Last week’s mystery, “Old stone building,” showed an old lockkeeper’s building at Rocky Mount Canal near Great Falls in Chester County.  The old photo was from the Library of Congress.  Readers say it is now located at Landsford Canal State Park in Chester County along the Catawba River.

Penny Forrester of Tallahassee, Fla., provided some interesting detail: “The canal, the brainchild of Robert Mills, was built beginning in 1820, using both slave and free laborers.  It was the northernmost in a series of four canals built on the Catawba and Wateree rivers to provide a water route between the upcountry and the towns on the fall line.   

“The canal was about two miles long, 12-feet wide and 10-feet deep.  There were four lifting locks and one guard lock providing 32 feet of descent.  It was named for local landowner Thomas Land. The canal was completed in three years but one of the locks collapsed due to its inferior foundation.  The canal was little used, and traffic ceased by 1840.  The bridge design was an almost exact twin of the Poinsett Bridge in upper Greenville County.”

Congratulations to others who identified it:  Jay Altman and Elizabeth Jones, both of Columbia; George Graf of Palmyra, Va.; Steve Willis of Lancaster; David Lupo of Mount Pleasant; Bill Segars of Hartsville; Allan Peel of San Antonio, Texas; Frank Bouknight of Summerville; and Pat Keadle of Perry.

  • Send us a mystery picture. If you have a photo that you believe will stump readers, send it along (but  make sure to tell us what it is because it may stump us too!)  Send to:  feedback@statehousereport.com and mark it as a photo submission.  Thanks.

FEEDBACK

Send us your thoughts 

We encourage you to send in your thoughts about policy and politics impacting South Carolina.  We’ve gotten some letters in the last few weeks – some positive, others nasty.  We print non-defamatory comments, but unless you provide your contact information – name and hometown, plus a phone number used only by us for verification – we can’t publish your thoughts.  

  • Have a comment?  Send your letters or comments to: feedback@statehousereport.com.  Make sure to provide your contact details (name, hometown and phone number for verification.  Letters are limited to 150 words.
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Noticias

What Really Happened When OpenAI Turned on Sam Altman

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In the summer of 2023, Ilya Sutskever, a co-founder and the chief scientist of OpenAI, was meeting with a group of new researchers at the company. By all traditional metrics, Sutskever should have felt invincible: He was the brain behind the large language models that helped build ChatGPT, then the fastest-growing app in history; his company’s valuation had skyrocketed; and OpenAI was the unrivaled leader of the industry believed to power the future of Silicon Valley. But the chief scientist seemed to be at war with himself.

Sutskever had long believed that artificial general intelligence, or AGI, was inevitable—now, as things accelerated in the generative-AI industry, he believed AGI’s arrival was imminent, according to Geoff Hinton, an AI pioneer who was his Ph.D. adviser and mentor, and another person familiar with Sutskever’s thinking. (Many of the sources in this piece requested anonymity in order to speak freely about OpenAI without fear of reprisal.) To people around him, Sutskever seemed consumed by thoughts of this impending civilizational transformation. What would the world look like when a supreme AGI emerged and surpassed humanity? And what responsibility did OpenAI have to ensure an end state of extraordinary prosperity, not extraordinary suffering?

By then, Sutskever, who had previously dedicated most of his time to advancing AI capabilities, had started to focus half of his time on AI safety. He appeared to people around him as both boomer and doomer: more excited and afraid than ever before of what was to come. That day, during the meeting with the new researchers, he laid out a plan.

“Once we all get into the bunker—” he began, according to a researcher who was present.

“I’m sorry,” the researcher interrupted, “the bunker?”

“We’re definitely going to build a bunker before we release AGI,” Sutskever replied. Such a powerful technology would surely become an object of intense desire for governments globally. The core scientists working on the technology would need to be protected. “Of course,” he added, “it’s going to be optional whether you want to get into the bunker.”

This essay has been adapted from Hao’s forthcoming book, Empire of AI.

Two other sources I spoke with confirmed that Sutskever commonly mentioned such a bunker. “There is a group of people—Ilya being one of them—who believe that building AGI will bring about a rapture,” the researcher told me. “Literally, a rapture.” (Sutskever declined to comment.)

Sutskever’s fears about an all-powerful AI may seem extreme, but they are not altogether uncommon, nor were they particularly out of step with OpenAI’s general posture at the time. In May 2023, the company’s CEO, Sam Altman, co-signed an open letter describing the technology as a potential extinction risk—a narrative that has arguably helped OpenAI center itself and steer regulatory conversations. Yet the concerns about a coming apocalypse would also have to be balanced against OpenAI’s growing business: ChatGPT was a hit, and Altman wanted more.

When OpenAI was founded, the idea was to develop AGI for the benefit of humanity. To that end, the co-founders—who included Altman and Elon Musk—set the organization up as a nonprofit and pledged to share research with other institutions. Democratic participation in the technology’s development was a key principle, they agreed, hence the company’s name. But by the time I started covering the company in 2019, these ideals were eroding. OpenAI’s executives had realized that the path they wanted to take would demand extraordinary amounts of money. Both Musk and Altman tried to take over as CEO. Altman won out. Musk left the organization in early 2018 and took his money with him. To plug the hole, Altman reformulated OpenAI’s legal structure, creating a new “capped-profit” arm within the nonprofit to raise more capital.

Since then, I’ve tracked OpenAI’s evolution through interviews with more than 90 current and former employees, including executives and contractors. The company declined my repeated interview requests and questions over the course of working on my book about it, which this story is adapted from; it did not reply when I reached out one more time before the article was published. (OpenAI also has a corporate partnership with The Atlantic.)

OpenAI’s dueling cultures—the ambition to safely develop AGI, and the desire to grow a massive user base through new product launches—would explode toward the end of 2023. Gravely concerned about the direction Altman was taking the company, Sutskever would approach his fellow board of directors, along with his colleague Mira Murati, then OpenAI’s chief technology officer; the board would subsequently conclude the need to push the CEO out. What happened next—with Altman’s ouster and then reinstatement—rocked the tech industry. Yet since then, OpenAI and Sam Altman have become more central to world affairs. Last week, the company unveiled an “OpenAI for Countries” initiative that would allow OpenAI to play a key role in developing AI infrastructure outside of the United States. And Altman has become an ally to the Trump administration, appearing, for example, at an event with Saudi officials this week and onstage with the president in January to announce a $500 billion AI-computing-infrastructure project.

Altman’s brief ouster—and his ability to return and consolidate power—is now crucial history to understand the company’s position at this pivotal moment for the future of AI development. Details have been missing from previous reporting on this incident, including information that sheds light on Sutskever and Murati’s thinking and the response from the rank and file. Here, they are presented for the first time, according to accounts from more than a dozen people who were either directly involved or close to the people directly involved, as well as their contemporaneous notes, plus screenshots of Slack messages, emails, audio recordings, and other corroborating evidence.

The altruistic OpenAI is gone, if it ever existed. What future is the company building now?

Before ChatGPT, sources told me, Altman seemed generally energized. Now he often appeared exhausted. Propelled into megastardom, he was dealing with intensified scrutiny and an overwhelming travel schedule. Meanwhile, Google, Meta, Anthropic, Perplexity, and many others were all developing their own generative-AI products to compete with OpenAI’s chatbot.

Many of Altman’s closest executives had long observed a particular pattern in his behavior: If two teams disagreed, he often agreed in private with each of their perspectives, which created confusion and bred mistrust among colleagues. Now Altman was also frequently bad-mouthing staffers behind their backs while pushing them to deploy products faster and faster. Team leads mirroring his behavior began to pit staff against one another. Sources told me that Greg Brockman, another of OpenAI’s co-founders and its president, added to the problems when he popped into projects and derail­ed long-​standing plans with ­last-​minute changes.

The environment within OpenAI was changing. Previously, Sutskever had tried to unite workers behind a common cause. Among employees, he had been known as a deep thinker and even something of a mystic, regularly speaking in spiritual terms. He wore shirts with animals on them to the office and painted them as well—a cuddly cat, cuddly alpacas, a cuddly fire-breathing dragon. One of his amateur paintings hung in the office, a trio of flowers blossoming in the shape of OpenAI’s logo, a symbol of what he always urged employees to build: “A plurality of humanity-loving AGIs.”

But by the middle of 2023—around the time he began speaking more regularly about the idea of a bunker—Sutskever was no longer just preoccupied by the possible cataclysmic shifts of AGI and superintelligence, according to sources familiar with his thinking. He was consumed by another anxiety: the erosion of his faith that OpenAI could even keep up its technical advancements to reach AGI, or bear that responsibility with Altman as its leader. Sutskever felt Altman’s pattern of behavior was undermining the two pillars of OpenAI’s mission, the sources said: It was slowing down research progress and eroding any chance at making sound AI-safety decisions.

Meanwhile, Murati was trying to manage the mess. She had always played translator and bridge to Altman. If he had adjustments to the company’s strategic direction, she was the implementer. If a team needed to push back against his decisions, she was their champion. When people grew frustrated with their inability to get a straight answer out of Altman, they sought her help. “She was the one getting stuff done,” a former colleague of hers told me. (Murati declined to comment.)

During the development of GPT‑­4, Altman and Brockman’s dynamic had nearly led key people to quit, sources told me. Altman was also seemingly trying to circumvent safety processes for expediency. At one point, sources close to the situation said, he had told Murati that OpenAI’s legal team had cleared the latest model, GPT-4 Turbo, to skip review by the company’s Deployment Safety Board, or DSB—a committee of Microsoft and OpenAI representatives who evaluated whether OpenAI’s most powerful models were ready for release. But when Murati checked in with Jason Kwon, who oversaw the legal team, Kwon had no idea how Altman had gotten that impression.

In the summer, Murati attempted to give Altman detailed feedback on these issues, according to multiple sources. It didn’t work. The CEO iced her out, and it took weeks to thaw the relationship.

By fall, Sutskever and Murati both drew the same conclusion. They separately approached the three board members who were not OpenAI employees—Helen Toner, a director at Georgetown University’s Center for Security and Emerging Technology; the roboticist Tasha McCauley; and one of Quora’s co-founders and its CEO, Adam D’Angelo—and raised concerns about Altman’s leadership. “I don’t think Sam is the guy who should have the finger on the button for AGI,” Sutskever said in one such meeting, according to notes I reviewed. “I don’t feel comfortable about Sam leading us to AGI,” Murati said in another, according to sources familiar with the conversation.

That Sutskever and Murati both felt this way had a huge effect on Toner, McCauley, and D’Angelo. For close to a year, they, too, had been processing their own grave concerns about Altman, according to sources familiar with their thinking. Among their many doubts, the three directors had discovered through a series of chance encounters that he had not been forthcoming with them about a range of issues, from a breach in the DSB’s protocols to the legal structure of OpenAI Startup Fund, a dealmaking vehicle that was meant to be under the company but that instead Altman owned himself.

If two of Altman’s most senior deputies were sounding the alarm on his leadership, the board had a serious problem. Sutskever and Murati were not the first to raise these kinds of issues, either. In total, the three directors had heard similar feedback over the years from at least five other people within one to two levels of Altman, the sources said. By the end of October, Toner, McCauley, and D’Angelo began to meet nearly daily on video calls, agreeing that Sutskever’s and Murati’s feedback about Altman, and Sutskever’s suggestion to fire him, warranted serious deliberation.

As they did so, Sutskever sent them long dossiers of documents and screenshots that he and Murati had gathered in tandem with examples of Altman’s behaviors. The screenshots showed at least two more senior leaders noting Altman’s tendency to skirt around or ignore processes, whether they’d been instituted for AI-safety reasons or to smooth company operations. This included, the directors learned, Altman’s apparent attempt to skip DSB review for GPT-4 Turbo.

By Saturday, November 11, the independent directors had made their decision. As Sutskever suggested, they would remove Altman and install Murati as interim CEO. On November 17, 2023, at about noon Pacific time, Sutskever fired Altman on a Google Meet with the three independent board members. Sutskever then told Brockman on another Google Meet that Brockman would no longer be on the board but would retain his role at the company. A public announcement went out immediately.

For a brief moment, OpenAI’s future was an open question. It might have taken a path away from aggressive commercialization and Altman. But this is not what happened.

After what had seemed like a few hours of calm and stability, including Murati having a productive conversation with Microsoft—at the time OpenAI’s largest financial backer—she had suddenly called the board members with a new problem. Altman and Brockman were telling everyone that Altman’s removal had been a coup by Sutskever, she said.

It hadn’t helped that, during a company all-​hands to address employee questions, Sutskever had been completely ineffectual with his communication.

“Was there a specific incident that led to this?” Murati had read aloud from a list of employee questions, according to a recording I obtained of the meeting.

“Many of the questions in the document will be about the details,” Sutskever responded. “What, when, how, who, exactly. I wish I could go into the details. But I can’t.”

“Are we worried about the hostile takeover via coercive influence of the existing board members?” Sutskever read from another employee later.

“Hostile takeover?” Sutskever repeated, a new edge in his voice. “The OpenAI nonprofit board has acted entirely in accordance to its objective. It is not a hostile takeover. Not at all. I disagree with this question.”

Shortly thereafter, the remaining board, including Sutskever, confronted enraged leadership over a video call. Kwon, the chief strategy officer, and Anna Makanju, the vice president of global affairs, were leading the charge in rejecting the board’s characterization of Altman’s behavior as “not consistently candid,” according to sources present at the meeting. They demanded evidence to support the board’s decision, which the members felt they couldn’t provide without outing Murati, according to sources familiar with their thinking.

In rapid succession that day, Brockman quit in protest, followed by three other senior researchers. Through the evening, employees only got angrier, fueled by compounding problems: among them, a lack of clarity from the board about their reasons for firing Altman; a potential loss of a tender offer, which had given some the option to sell what could amount to millions of dollars’ worth of their equity; and a growing fear that the instability at the company could lead to its unraveling, which would squander so much promise and hard work.

Faced with the possibility of OpenAI falling apart, Sutskever’s resolve immediately started to crack. OpenAI was his baby, his life; its dissolution would destroy him. He began to plead with his fellow board members to reconsider their position on Altman.

Meanwhile, Murati’s interim position was being challenged. The conflagration within the company was also spreading to a growing circle of investors. Murati now was unwilling to explicitly throw her weight behind the board’s decision to fire Altman. Though her feedback had helped instigate it, she had not participated herself in the deliberations.

By Monday morning, the board had lost. Murati and Sutskever flipped sides. Altman would come back; there was no other way to save OpenAI.

I was already working on a book about OpenAI at the time, and in the weeks that followed the board crisis, friends, family, and media would ask me dozens of times: What did all this mean, if anything? To me, the drama highlighted one of the most urgent questions of our generation: How do we govern artificial intelligence? With AI on track to rewire a great many other crucial functions in society, that question is really asking: How do we ensure that we’ll make our future better, not worse?

The events of November 2023 illustrated in the clearest terms just how much a power struggle among a tiny handful of Silicon Valley elites is currently shaping the future of this technology. And the scorecard of this centralized approach to AI development is deeply troubling. OpenAI today has become everything that it said it would not be. It has turned into a nonprofit in name only, aggressively commercializing products such as ChatGPT and seeking historic valuations. It has grown ever more secretive, not only cutting off access to its own research but shifting norms across the industry to no longer share meaningful technical details about AI models. In the pursuit of an amorphous vision of progress, its aggressive push on the limits of scale has rewritten the rules for a new era of AI development. Now every tech giant is racing to out-scale one another, spending sums so astronomical that even they have scrambled to redistribute and consolidate their resources. What was once unprecedented has become the norm.

As a result, these AI companies have never been richer. In March, OpenAI raised $40 billion, the largest private tech-funding round on record, and hit a $300 billion valuation. Anthropic is valued at more than $60 billion. Near the end of last year, the six largest tech giants together had seen their market caps increase by more than $8 trillion after ChatGPT. At the same time, more and more doubts have risen about the true economic value of generative AI, including a growing body of studies that have shown that the technology is not translating into productivity gains for most workers, while it’s also eroding their critical thinking.

In a November Bloomberg article reviewing the generative-AI industry, the staff writers Parmy Olson and Carolyn Silverman summarized it succinctly. The data, they wrote, “raises an uncomfortable prospect: that this supposedly revolutionary technology might never deliver on its promise of broad economic transformation, but instead just concentrate more wealth at the top.”

Meanwhile, it’s not just a lack of productivity gains that many in the rest of the world are facing. The exploding human and material costs are settling onto wide swaths of society, especially the most vulnerable, people I met around the world, whether workers and rural residents in the global North or impoverished communities in the global South, all suffering new degrees of precarity. Workers in Kenya earned abysmal wages to filter out violence and hate speech from OpenAI’s technologies, including ChatGPT. Artists are being replaced by the very AI models that were built from their work without their consent or compensation. The journalism industry is atrophying as generative-AI technologies spawn heightened volumes of misinformation. Before our eyes, we’re seeing an ancient story repeat itself: Like empires of old, the new empires of AI are amassing extraordinary riches across space and time at great expense to everyone else.

To quell the rising concerns about generative AI’s present-day performance, Altman has trumpeted the future benefits of AGI ever louder. In a September 2024 blog post, he declared that the “Intelligence Age,” characterized by “massive prosperity,” would soon be upon us. At this point, AGI is largely rhetorical—a fantastical, all-purpose excuse for OpenAI to continue pushing for ever more wealth and power. Under the guise of a civilizing mission, the empire of AI is accelerating its global expansion and entrenching its power.

As for Sutskever and Murati, both parted ways with OpenAI after what employees now call “The Blip,” joining a long string of leaders who have left the organization after clashing with Altman. Like many of the others who failed to reshape OpenAI, the two did what has become the next-most-popular option: They each set up their own shops, to compete for the future of this technology.


This essay has been adapted from Karen Hao’s forthcoming book, Empire of AI.

Empire Of AI – Dreams And Nightmares In Sam Altman’s OpenAI

By Karen Hao


*Illustration by Akshita Chandra / The Atlantic. Sources: Nathan Howard / Bloomberg / Getty; Jack Guez / AFP / Getty; Jon Kopaloff / Getty; Manuel Augusto Moreno / Getty; Yuichiro Chino / Getty.


​When you buy a book using a link on this page, we receive a commission. Thank you for supporting The Atlantic.

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Un marco de descubrimiento de arquitectura neuronal de parámetros múltiples automatizados utilizando chatgpt en el backend

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  • Chua, M. et al. Abordar la incertidumbre de predicción en el aprendizaje automático para la atención médica. Nat. Biomed. Ing. 7711–718 (2023).

    Artículo PubMed Google Scholar

  • Bhardwaj, R. y Tripathi, I. Un algoritmo de ocultación de datos reversibles mejorados que utiliza una red neuronal profunda para E-Healthcare. J. Amb. Intell. Humaniz. Computación. 1410567–10585 (2023).

    Artículo Google Scholar

  • Nandy, S. et al. Un sistema inteligente de predicción de enfermedades cardíacas basado en la red neuronal artificial enjambre. Computación neuronal. Aplicación 3514723–14737 (2023).

    Artículo Google Scholar

  • Jaafar, N. y Lachiri, Z. Métodos de fusión multimodal con redes neuronales profundas y metainformación para la detección de agresión en vigilancia. Sistema de expertos. Aplicación 211118523 (2023).

    Artículo Google Scholar

  • Mahum, R. et al. Un marco robusto para generar resúmenes de video de vigilancia utilizando la combinación de momentos de Zernike y una transformación R y una red neuronal profunda. Multimed. Herramientas apl. 8213811–13835 (2023).

    Artículo Google Scholar

  • Jan, Z. et al. Inteligencia artificial para la industria 4.0: Revisión sistemática de aplicaciones, desafíos y oportunidades. Sistema de expertos. Aplicación 216119456 (2023).

    Artículo Google Scholar

  • Raja Santhi, A. y Muthuswamy, P. Industry 5.0 o Industry 4.0 s? Introducción a la industria 4.0 y un vistazo a las posibles tecnologías de la industria 5.0. Int. J. Interact. Des. Manuf. (Ijidem) 17947–979 (2023).

    Artículo Google Scholar

  • Shafiq, M. et al. Evaluación continua de control de calidad durante la fabricación utilizando algoritmo de aprendizaje supervisado para la industria 4.0. Int. J. Adv. Manuf. Technol. (2023).

  • Rajput, DS, Meena, G., Acharya, M. y Mohbey, KK Predicción de fallas utilizando red neuronal de convolución difusa en entorno IoT con fusión de datos de detección heterogénea. Medición Sensación 26100701 (2023).

    Artículo Google Scholar

  • Liyakat, KK S. Enfoque de aprendizaje automático utilizando redes neuronales artificiales para detectar nodos maliciosos en redes IoT. En Conferencia internacional sobre aprendizaje automático, IoT y Big Data 123–134 (Springer, 2023).

  • Thakkar, A. y Lohiya, R. Clasificación de ataque de datos de intrusión desequilibrados para la red IoT utilizando una red neuronal profunda basada en el aprendizaje. IEEE Internet Things J. 1011888–11895 (2023).

    Artículo Google Scholar

  • Openai, R. GPT-4 Informe técnico. Preprint en ARXIV: 2303.08774. Ver en el artículo213 (2023).

  • Wang, J. et al. EL-NAS: Eficiente búsqueda de arquitectura de dominio de atención cruzada para la clasificación de imágenes hiperespectrales. Sensación remota. 154688 (2023).

    Anuncios de artículos Google Scholar

  • Yang, T., He, Q. y Huang, L. OM-NAS: Clasificación de imagen de lesión de piel pigmentada basada en una búsqueda de arquitectura neural. Biomed. Optar. Expresar 142153–2165 (2023).

    Artículo CAS PubMed PubMed Central Google Scholar

  • Yang, Y., Wei, J., Yu, Z. y Zhang, R. Un marco de búsqueda de arquitectura neuronal confiable para la clasificación de imágenes de neumonía utilizando tecnología blockchain. J. Supercomput. 801694-1727 (2024).

  • Hassan, E. et al. Enmascarar modelos R-CNN. Nilo J. Commun. Computación. Sci. 317–27 (2022).

    Artículo Google Scholar

  • Dong, P. et al. RD-NAS: Mejora de la capacidad de clasificación SuperNet de un solo disparo a través de la destilación de clasificación de proxies de costo cero. En ICASSP 2023-2023 Conferencia internacional IEEE sobre acústica, procesamiento de habla y señales (ICASSP) 1–5 (IEEE, 2023).

  • Wang, J. et al. NAS-DYMC: red neuronal de convolucional múltiple dinámica basada en NAS para la detección de eventos de sonido. En ICASSP 2023-2023 Conferencia internacional IEEE sobre acústica, procesamiento de habla y señales (ICASSP) 1–5 (IEEE, 2023).

  • Li, J. et al. Graph Neural Network Architecture Busque para el diagnóstico de fallas de maquinaria giratoria basado en el aprendizaje de refuerzo. Mech. Syst. Proceso de señal. 202110701 (2023).

    Artículo Google Scholar

  • Yuan, W., Fu, C., Liu, R. y Fan, X. Ssob: Buscando una arquitectura orientada a la escena para la detección de objetos submarinos. VIS. Computación. 395199–5208 (2023).

    Artículo Google Scholar

  • Jia, X. et al. Detector de objetos rápido y preciso para la conducción autónoma basada en yolov5 mejorado. Sci. Reps. 131–13 (2023).

    Anuncios de Google Scholar

  • Mehta, R., Jurečková, O. y Stamp, M. Un enfoque de procesamiento del lenguaje natural para la clasificación de malware. J. Comput. Virol. Tech de piratería. 20173-184 (2024).

  • Girdhar, N., Coustaty, M. y Doucet, A. Benchmarking Nas para la separación de artículos en periódicos históricos. En Conferencia internacional sobre bibliotecas digitales asiáticas76–88 (Springer, 2023).

  • Real, E., Aggarwal, A., Huang, Y. y LE, QV Evolución regularizada para la búsqueda de arquitectura del clasificador de imágenes. En Actas de la Conferencia AAAI sobre inteligencia artificial volumen 33, 4780–4789 (2019).

  • Liu, C. et al. Búsqueda de arquitectura neuronal progresiva. En Actas de la Conferencia Europea sobre Visión Computadora (ECCV) 19–34 (2018).

  • Cai, H., Chen, T., Zhang, W., Yu, Y. y Wang, J. Búsqueda de arquitectura eficiente por transformación de red. En Actas de la Conferencia AAAI sobre inteligencia artificialvol. 32 (2018).

  • Pham, H., Guan, M., Zoph, B., Le, Q. y Dean, J. Búsqueda eficiente de arquitectura neuronal a través de parámetros compartiendo. En Conferencia internacional sobre aprendizaje automático 4095–4104 (PMLR, 2018).

  • Liu, H., Simonyan, K. y Yang, Y. Darts: búsqueda de arquitectura diferenciable. Preimpresión en ARXIV: 1806.09055 (2018).

  • Ying, C. et al. NAS-Bench-101: Hacia la búsqueda reproducible de arquitectura neuronal. En Conferencia internacional sobre aprendizaje automático 7105–7114 (PMLR, 2019).

  • Dong, X. y Yang, Y. Nas Bench-201-201: Extendiendo el alcance de la búsqueda de arquitectura neuronal reproducible. Preprint en ARXIV: 2001.00326 (2020).

  • Krizhevsky, A. y Hinton, G. Aprender múltiples capas de características de pequeñas imágenes (Tech. Rep, Toronto, ON, Canadá, 2009).

  • Chrabaszcz, P., Loshchilov, I. y Hutter, F. Una variante a la baja de Imagenet como alternativa a los conjuntos de datos CIFAR. Preprint en ARXIV: 1707.08819 (2017).

  • Ye, P. et al. \(\beta\)-Darts: regularización de beta para la búsqueda de arquitectura diferenciable. En 2022 Conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones (CVPR) 10864–10873 (IEEE, 2022).

  • Movahedi, S. et al. \ (\ lambda \) -Darts: mitigar el colapso del rendimiento al armonizar la selección de operaciones entre las células. Preprint en ARXIV: 2210.07998 (2022).

  • Zheng, M. et al. ¿Puede GPT-4 realizar la búsqueda de arquitectura neural? Preimpresión en ARXIV: 2304.10970 (2023).

  • Achiam, J. et al. Informe técnico GPT-4. Preimpresión en ARXIV: 2303.08774 (2023).

  • Wang, H. et al. Búsqueda de arquitectura neuronal gráfica con GPT-4. Preimpresión en ARXIV: 2310.01436 (2023).

  • Hassan, E., Bhatnagar, R. y Shams, M. Y. Avance de la investigación científica en ciencias de la computación por Chatgpt y Llama-A Review. En Conferencia internacional sobre fabricación inteligente y sostenibilidad energética 23–37 (Springer, 2023).

  • Helber, P., Bischke, B., Dengel, A. y Borth, D. Eurosat: un nuevo conjunto de datos y un punto de referencia de aprendizaje profundo para el uso de la tierra y la clasificación de la cobertura de la tierra. IEEE J. Sel. Arriba. Aplicación Tierra obs. Sensación remota. 12(7), 2217–2226 (2019).

    Anuncios de artículos Google Scholar

  • Rajaraman, S. et al. Redes neuronales convolucionales previamente entrenadas como extractores de características hacia la detección de parásitos de malaria mejorados en imágenes de frotis de sangre delgada. Peerj 6E4568 (2018).

    Artículo PubMed PubMed Central Google Scholar

  • Maas, A. et al. Vectores de palabras de aprendizaje para el análisis de sentimientos. En Actas de la 49ª Reunión Anual de la Asociación de Lingüística Computacional: Tecnologías de lenguaje humano 142–150 (2011).

  • Powerapi. Pyjoules: Biblioteca de medición de energía basada en Python para varios dominios, incluidas las GPU NVIDIA. https://github.com/powerapi-ng/pyjoulles (2024). Consultado: 2024-05-31.

  • Loni, M., Sinaei, S., Zoljodi, A., Daneshtalab, M. y Sjödin, M. Deepmaker: un marco de optimización de objetivos múltiples para redes neuronales profundas en sistemas integrados. Microprocesos. Microsyst. 73102989 (2020).

    Artículo Google Scholar

  • Suganuma, M., Kobayashi, M., Shirakawa, S. y Nagao, T. Evolución de redes neuronales convolucionales profundas utilizando programación genética cartesiana. Evol. Computación. 28141–163 (2020).

    Artículo PubMed Google Scholar

  • Ren, J. et al. Eigen: enfoque genético de inspiración ecológica para la búsqueda de estructuras de redes neuronales desde cero. En Actas de la conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones 9059–9068 (2019).

  • Xie, L. y Yuille, A. Genetic CNN. En Actas de la Conferencia Internacional IEEE sobre visión por computadora 1379–1388 (2017).

  • Lu, Z. et al. Diseño evolutivo de criterio múltiple de redes neuronales convolucionales profundas. Preprint en ARXIV: 1912.01369 (2019).

  • Kandasamy, K., Neiswanger, W., Schneider, J., Poczos, B. y Xing, EP Búsqueda de arquitectura neural con optimización bayesiana y transporte óptimo. Adv. Inf. Neural. Proceso. Syst. 31 (2018).

  • Elsken, T., Metzen, J.-H. & Hutter, F. Búsqueda de arquitectura simple y eficiente para redes neuronales convolucionales. Preimpresión en ARXIV: 1711.04528 (2017).

  • Dong, X. y Yang, Y. Buscando una arquitectura neuronal robusta en cuatro horas de GPU. En Actas de la conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones 1761–1770 (2019).

  • Chu, X. et al. DARTS-: Salir de manera robusta del colapso de rendimiento sin indicadores. Preprint en ARXIV: 2009.01027 (2020).

  • Chen, X., Wang, R., Cheng, M., Tang, X. y Hsieh, C.-J. DRNAS: búsqueda de arquitectura neural de Dirichlet. Preprint en ARXIV: 2006.10355 (2020).

  • Hu, Y., Wang, X., Li, L. y Gu, Q. Mejora de NAS de un solo disparo con Supernet reducida y expansiva. Reconocimiento de patrones. 118108025 (2021).

    Artículo Google Scholar

  • Chu, X., Zhang, B. y Xu, R. Fairnas: Repensar la equidad de evaluación de la búsqueda de arquitectura neuronal compartiendo peso. En Actas de la conferencia internacional IEEE/CVF sobre visión por computadora 12239–12248 (2021).

  • Xiao, H., Wang, Z., Zhu, Z., Zhou, J. y Lu, J. Shapley-NAS: Descubrimiento de la contribución de la operación para la búsqueda de arquitectura neural. En Actas de la conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones 11892–11901 (2022).

  • Yu, K., Ranftl, R. y Salzmann, M. Regularización histórica: clasificación de entrenamiento guiado de Super Net en la búsqueda de arquitectura neural. En Actas de la conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones 13723–13732 (2021).

  • Cavagnero, N., Robbiano, L., Caputo, B. y Avera, G. Freerea: Búsqueda de arquitectura basada en la evolución libre de capacitación. En Actas de la conferencia de invierno IEEE/CVF sobre aplicaciones de visión por computadora 1493–1502 (2023).

  • Zheng, X. et al. Búsqueda de arquitectura neuronal con representación de información mutua. En Actas de la conferencia IEEE/CVF sobre visión por computadora y reconocimiento de patrones 11912–11921 (2022).

  • Strubell, E., Ganesh, A. y McCallum, A. Consideraciones de energía y política para el aprendizaje profundo en la PNL. Preprint en ARXIV: 1906.02243 (2019).

  • Zoph, B., Vasudevan, V., Shlens, J. y Le, Q. V. Aprender arquitecturas transferibles para el reconocimiento de imágenes escalables. En Actas de la conferencia IEEE sobre visión por computadora y reconocimiento de patrones 8697–8710 (2018).

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    El ex ejecutivo de Operai se une a la IA, el sector público y los líderes de ciberseguridad que encabezan Info-Tech Live 2025 en Las Vegas

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    A medida que Momentum continúa construyendo en las semanas previas a la muy esperada conferencia anual de la industria para CIO y líderes de TI, Info-Tech Research Group ha anunciado tres nuevos oradores destacados para Info-Tech Live 2025 en Las Vegas en junio. Los altavoces recién revelados incluyen Zack Kassex jefe del mercado de ir al mercado en Openai; Bob LeeCIO para Condado de Clark, Nevada; y David TyburskiVicepresidente de Seguridad de la Información y CISO en Wynn Resorts – Voces líderes en IA, innovación del sector público y ciberseguridad. Sus notas clave Ofrezca claridad, estrategia y ideas prácticas sobre los desafíos de TI más urgentes de hoy al proporcionar diversas perspectivas sobre cómo la tecnología está remodelando las industrias, las instituciones y el liderazgo en sí.

    Toronto, 14 de mayo de 2025 / PRNewswire/-Info-Tech Research Group, una firma líder mundial de investigación y asesoramiento de TI, ha anunciado tres oradores destacados adicionales para su próximo Info-Tech Live 2025 en Las Vegas Conferencia de TI. Los altavoces son Zack Kassex jefe del mercado de ir al mercado en Openai; Bob LeeCIO para Condado de Clark, Nevada; y David TyburskiVicepresidente de Seguridad de la Información y CISO en Wynn Resorts. Estos oradores compartirán su experiencia en innovación de IA, liderazgo del sector público y ciberseguridad empresarial en el escenario principal del evento insignia de la firma, que tiene lugar. 10-12 de junio, 2025en Bellagio en Las Vegas.

    Info-Tech Live 2025 reunirá a miles de CIO, CDO, CISO y líderes de TI durante tres días de notas clave, Insights de analistas y compromiso entre pares. La urgencia y la oportunidad que enfrentan los líderes tecnológicos hoy mientras navegan por la interrupción y la innovación se refleja en el tema de este año “Transformarlo. Transformar todo”.

    “Estos altavoces destacados para Info-Tech Live 2025 en Las Vegas Refleja las prioridades y presiones en evolución que enfrentan los líderes de TI hoy, en todas las industrias y mercados “, dice el director de investigación del grupo de investigación de información de información, Gord Harrison. “Desde redefinir cómo las organizaciones se involucran con la IA, hasta la transformación de la prestación de servicios públicos, hasta la defensa de la infraestructura digital en las industrias de alto riesgo, estos líderes aportan información crítica del futuro. Juntos, sus perspectivas ayudarán a los asistentes a ir más allá de la conciencia y tomar una acción estratégica y confidencial”.

    Recientemente anunciados oradores destacados para información-tech en vivo 2025 en Las Vegas:

    Las últimas incorporaciones a la lista de oradores 2025 de Info-Tech ofrecen a los asistentes una gran cantidad de experiencia en décadas de liderazgo práctico, consultoría e innovación. Sus sesiones proporcionarán nuevas perspectivas sobre los desafíos empresariales actuales, desde la navegación de tecnologías emergentes y las demandas de cumplimiento hasta las estrategias de transformación de escala y alinear las inversiones de TI con el crecimiento empresarial. Los oradores recién anunciados incluyen:

    • Zack Kass, Asesor global de IA, ex jefe de Go To-Mercado, OpenAI
      Zack Kass es un asesor futurista y global que ayuda a Fortune 1000 empresas y gobiernos a adaptarse al panorama de IA que cambia rápidamente. Como ex jefe del mercado de ir a OpenAI, ayudó a construir y liderar a los equipos responsables de traducir la investigación en aplicaciones del mundo real. Kass ahora trabaja para desmitificar la IA y dar forma a un futuro donde la tecnología sirve a las personas y la sociedad.
    • Bob LeeCIO para Condado de Clark, Nevada
      Bob Lee sirve como CIO para Condado de Clark, Nevadaapoyando a más de 2.4 millones de residentes, 90,000 empresas y más de 50 millones de visitantes anualmente. Con más de 25 años de experiencia en los sectores público y privado, Leek se centra en el cambio transformador, el liderazgo inclusivo y el uso de la tecnología para mejorar los resultados para las comunidades a las que sirve.
    • David TyburskiVP de seguridad de la información y director de seguridad de la información para Wynn Resorts
      David Tyburski Lidera la estrategia global de ciberseguridad de Wynn Resorts, supervisando la identidad y el acceso, la gestión de riesgos y la respuesta a los incidentes. Con más de 30 años en TI y seguridad, Tyburski también asesora sobre múltiples juntas de la industria y sirve en la Junta Asesora de Tecnología de la Información del Estado de Nevada.

    Info-tech en vivo 2025 en Las Vegas Proporcionará estrategias procesables e información de investigación en profundidad a los líderes y ejecutivos de TI en todas las industrias. Los asistentes tendrán la oportunidad de interactuar con los analistas expertos de Info-Tech, participar en sesiones interactivas y mesas redondas, y obtener un conocimiento crítico sobre el panorama de TI en rápida evolución. La conferencia también contará con una impresionante línea de oradores principales, talleres y eventos de redes diseñados para equipar a los asistentes con las herramientas para impulsar la transformación de TI exponencial. Se publicarán anuncios adicionales en las semanas previas a la conferencia.

    Para obtener los últimos detalles, visite el Info-Tech Live 2025 en Las Vegas página, y siga el grupo de investigación de información de información sobre LinkedIn y incógnita.

    Media pasa por información-Tech Live 2025 en Las Vegas

    Los profesionales de los medios, incluidos periodistas, podcasters e influencers, están invitados a asistir a Info-Tech Live 2025 para obtener acceso exclusivo a la investigación, el contenido y las entrevistas con los líderes de la industria. Para aquellos que no pueden asistir en persona, Info-Tech ofrece una opción de pase digital, proporcionando acceso a notas clave en vivo, sesiones seleccionadas y entrevistas virtuales exclusivas con oradores y analistas.

    Los profesionales de los medios que buscan solicitar pases en persona o digitales pueden contactar pr@infotech.com Para asegurar su lugar y cubrir los últimos avances en él para su público.

    Oportunidades de expositor

    Los expositores también están invitados a formar parte de Info-Tech Live y mostrar sus productos y servicios a un público altamente comprometido de tomadores de decisiones de TI. Para obtener más información sobre cómo convertirse en un expositor de información en vivo, comuníquese con events@infotech.com.

    Acerca del grupo de investigación de tecnología de información

    Info-Tech Research Group es una de las principales empresas de investigación y asesoramiento del mundo, que atiende con orgullo a más de 30,000 profesionales. La compañía produce una investigación imparcial y altamente relevante y brinda servicios de asesoramiento para ayudar a los líderes a tomar decisiones estratégicas, oportunas y bien informadas. Durante casi 30 años, Info-Tech se ha asociado estrechamente con los equipos para proporcionarles todo lo que necesitan, desde herramientas procesables hasta orientación de analistas, asegurando que brinden resultados medibles para sus organizaciones.

    Para obtener más información sobre las divisiones de Info-Tech, visite McLean & Company para obtener servicios de investigación y asesoramiento de recursos humanos y SoftWarReviews para obtener información sobre la compra de software.

    Los profesionales de los medios pueden registrarse para un acceso sin restricciones a la investigación a través de TI, recursos humanos y software y cientos de analistas de la industria a través del Programa de Insiders de Medios de la empresa. Para obtener acceso, contactar pr@infotech.com.

    Grupo de investigación de tecnología de información de origen

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