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Grieving Texans are angrily pointing fingers at cuts to the National Weather Service, which only had five people on duty before the deadly floods hit

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WASHINGTON (AP) — Former federal officials and outside experts have warned for months that President Donald Trump’s deep staffing cuts to the National Weather Service could endanger lives.

After torrential rains and flash flooding struck Friday in the Texas Hill Country, the weather service came under fire from local officials who criticized what they described as inadequate forecasts, though most in the Republican-controlled state stopped short of blaming Trump’s cuts. Democrats, meanwhile, wasted little time in linking the staff reductions to the disaster, which is being blamed for the deaths of at least 80 people, including more than two dozen girls and counselors attending a summer camp on the banks of the Guadalupe River.

The NWS office responsible for that region had five staffers on duty as thunderstorms formed over Texas Thursday evening, the usual number for an overnight shift when severe weather is expected. Current and former NWS officials defended the agency, pointing to urgent flash flood warnings issued in the pre-dawn hours before the river rose.

“This was an exceptional service to come out first with the catastrophic flash flood warning and this shows the awareness of the meteorologists on shift at the NWS office,” said Brian LaMarre, who retired at the end of April as the meteorologist-in-charge of the NWS forecast office in Tampa, Florida. ″There is always the challenge of pinpointing extreme values, however, the fact the catastrophic warning was issued first showed the level of urgency.”

Questions linger about level of coordination

Questions remain, however, about the level of coordination and communication between NWS and local officials on the night of the disaster. The Trump administration has cut hundreds of jobs at NWS, with staffing down by at least 20% at nearly half of the 122 NWS field offices nationally and at least a half dozen no longer staffed 24 hours a day. Hundreds more experienced forecasters and senior managers were encouraged to retire early.

The White House also has proposed slashing its parent agency’s budget by 27% and eliminating federal research centers focused on studying the world’s weather, climate and oceans.

The website for the NWS office for Austin/San Antonio, which covers the region that includes hard-hit Kerr County, shows six of 27 positions are listed as vacant. The vacancies include a key manager responsible for issuing warnings and coordinating with local emergency management officials. An online resume for the employee who last held the job showed he left in April after more than 17 years, shortly after mass emails sent to employees urging them to retire early or face potential layoffs.

Democrats on Monday pressed the Trump administration for details about the cuts. Senate Minority Leader Chuck Schumer demanded that the administration conduct an inquiry into whether staffing shortages contributed to “the catastrophic loss of life” in Texas.

Meanwhile, Trump said the job eliminations did not hamper any weather forecasting. The raging waters, he said Sunday, were “a thing that happened in seconds. No one expected it. Nobody saw it.”

Former officials warn that job cuts could hamper future forecasts

Former federal officials and experts have said Trump’s indiscriminate job reductions at NWS and other weather-related agencies will result in brain drain that imperils the federal government’s ability to issue timely and accurate forecasts. Such predictions can save lives, particularly for those in the path of quick-moving storms.

“This situation is getting to the point where something could break,” said Louis Uccellini, a meteorologist who served as NWS director under three presidents, including during Trump’s first term. “The people are being tired out, working through the night and then being there during the day because the next shift is short staffed. Anything like that could create a situation in which important elements of forecasts and warnings are missed.”

After returning to office in January, Trump issued a series of executive orders empowering the Department of Government Efficiency, initially led by mega-billionaire Elon Musk, to enact sweeping staff reductions and cancel contracts at federal agencies, bypassing significant Congressional oversight.

Though Musk has now departed Washington and had a very public falling out with Trump, DOGE staffers he hired and the cuts he sought have largely remained, upending the lives of tens of thousands of federal employees.Cuts resulted from Republican effort to privatize duties of weather agencies

The cuts follow a decade-long Republican effort to dismantle and privatize many of the duties of National Oceanic and Atmospheric Administration, the agency within the Commerce Department that includes the NWS. The reductions have come as Trump has handed top public posts to officials with ties to private companies that stand to profit from hobbling the taxpayer-funded system for predicting the weather.

Project 2025, the conservative governing blueprint that Trump distanced himself from during the 2024 campaign but that he has broadly moved to enact once in office, calls for dismantling NOAA and further commercializing the weather service.

Chronic staffing shortages have led a handful of offices to curtail the frequency of regional forecasts and weather balloon launches needed to collect atmospheric data. In April, the weather service abruptly ended translations of its forecasts and emergency alerts into languages other than English, including Spanish. The service was soon reinstated after public outcry.

NOAA’s main satellite operations center briefly appeared earlier this year on a list of surplus government real estate set to be sold. Trump’s proposed budget also seeks to shutter key facilities for tracking climate change. The proposed cuts include the observatory atop the Mauna Loa volcano in Hawaii that for decades has documented the steady rise in plant-warming carbon dioxide in the Earth’s atmosphere from burning fossil fuels.

On June 25, NOAA abruptly announced that the U.S. Department of Defense would no longer process or transmit data from three weather satellites experts said are crucial to accurately predicting the path and strength of hurricanes at sea.

“Removing data from the defense satellite is similar to removing another piece to the public safety puzzle for hurricane intensity forecasting,” said LaMarre, now a private consultant. ”The more pieces removed, the less clear the picture becomes which can reduce the quality of life-saving warnings.”

Trump officials say they didn’t fire meteorologists

At a pair of Congressional hearings last month, Commerce Secretary Howard Lutnick called it “fake news” that the Trump administration had axed any meteorologists, despite detailed reporting from The Associated Press and other media organizations that chronicled the layoffs.

“We are fully staffed with forecasters and scientists,” Lutnick said June 4 before a Senate appropriations subcommittee. “Under no circumstances am I going to let public safety or public forecasting be touched.”

Despite a broad freeze on federal hiring directed by Trump, NOAA announced last month it would seek to fill more than 100 “mission-critical field positions,” as well as plug holes at some regional weather offices by reassigning staff. Those positions have not yet been publicly posted, though a NOAA spokesperson said Sunday they would be soon.

Asked by AP how the NWS could simultaneously be fully staffed and still advertise “mission critical positions” as open, Commerce spokesperson Kristen Eichamer said the “National Hurricane Center is fully staffed to meet this season’s demand, and any recruitment efforts are simply meant to deepen our talent pool.”

“The secretary is committed to providing Americans with the most accurate, up-to-date weather data by ensuring the National Weather Service is fully equipped with the personnel and technology it needs,” Eichamer said. “For the first time, we are integrating technology that’s more accurate and agile than ever before to achieve this goal, and with it the NWS is poised to deliver critical weather information to Americans.”

Uccellini and the four prior NWS directors who served under Democratic and Republican presidents criticized the Trump cuts in an open letter issued in May; they said the administration’s actions resulted in the departures of about 550 employees — an overall reduction of more than 10 percent.

“NWS staff will have an impossible task to continue its current level of services,” they wrote. “Our worst nightmare is that weather forecast offices will be so understaffed that there will be needless loss of life. We know that’s a nightmare shared by those on the forecasting front lines – and by the people who depend on their efforts.”

NOAA’s budget for fiscal year 2024 was just under $6.4 billion, of which less than $1.4 billion went to NWS.

Experts worry about forecasts for hurricanes

While experts say it would be illegal for Trump to eliminate NOAA without Congressional approval, some former federal officials worry the cuts could result in a patchwork system where taxpayers finance the operation of satellites and collection of atmospheric data but are left to pay private services that would issue forecasts and severe weather warnings. That arrangement, critics say, could lead to delays or missed emergency alerts that, in turn, could result in avoidable deaths.

D. James Baker, who served as NOAA’s administrator during the Clinton administration, questioned whether private forecasting companies would provide the public with services that don’t generate profits.

“Would they be interested in serving small communities in Maine, let’s say?” Baker asked. “Is there a business model that gets data to all citizens that need it? Will companies take on legal risks, share information with disaster management agencies, be held accountable as government agencies are? Simply cutting NOAA without identifying how the forecasts will continue to be provided is dangerous.”

Though the National Hurricane Center in Miami has been largely spared staff reductions like those at regional NWS offices, some professionals who depend on federal forecasts and data greeted the June start of the tropical weather season with profound worry.

In an unusual broadcast on June 3, longtime South Florida TV meteorologist John Morales warned his viewers that the Trump administration cuts meant he might not be able to provide as accurate forecasts for hurricanes as he had in years past. He cited staffing shortfalls of between 20% and 40% at NWS offices from Tampa to Key West and urged his NBC 6 audience in greater Miami to call their congressional representatives.

“What we are starting to see is that the quality of the forecasts is becoming degraded,” Morales said. “And we may not know exactly how strong a hurricane is before it reaches the coastline.”



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Yann LeCun is targeting a $3.5 billion valuation for his new startup that hasn’t even launched yet

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Yann LeCun, the legendary artificial intelligence researcher who helped build and shape Meta’s AI strategy, is already underway on his next big thing. Less than a month after announcing his departure from Mark Zuckerberg’s social media empire, the 65-year-old Turing Award winner has launched fundraising talks that would value his new venture at roughly $3.5 billion before it’s even launched.

The startup, Advanced Machine Intelligence (AMI) Labs, aims to create what LeCun calls “world models”: AI systems that understand physics, maintain persistent memory, and plan complex actions rather than simply predicting the next word. The company plans to establish its headquarters in Paris early next year, with LeCun serving as executive chairman. He’s even picked the CEO already: On Thursday, LeCun announced on LinkedIn that he’s selected Alexandre LeBrun, founder of French health-tech startup Nabla, to take on the chief executive role.

Why LeCun is abandoning Silicon Valley

The €500 million (~$586 million) funding target would be one of the largest prelaunch raises in AI history, reflecting investor confidence in LeCun’s vision of moving beyond today’s large language models.

“Silicon Valley is completely hypnotized by the current models of generative AI,” LeCun explained earlier this month at the AI-Pulse conference. “To pursue this kind of new research, you have to go outside the Valley—to Paris.”

LeCun’s exit from Meta after 12 years—five as founding director of Facebook AI Research and seven as chief AI scientist—had been rumored for weeks before he confirmed it on Nov. 18. His departure coincides with Meta’s strategic pivot toward more powerful LLM-based models under new chief AI officer Alexandr Wang, the twentysomething founder of Scale AI.

While Meta will not invest in AMI Labs, the companies plan to forge a partnership, allowing LeCun to continue his research while maintaining ties to his former employer.

The AI bubble grows bigger

The spectacular valuation for a pre-revenue startup has amplified concerns about an AI investment bubble. Industry leaders have warned that excitement around AI may be outpacing business fundamentals, and LeCun’s fundraising could test whether even the most respected names in the field can command premium valuations without proven commercial traction. The startup faces competition from well-funded European rivals like Black Forest Labs, valued at $4 billion, and Quantexa at $2.6 billion.

LeCun’s skepticism about AI’s current direction has been clear. Earlier this year, during an appearance on Alex Kantrowitz’s Big Technology podcast, he said: “We are not going to get to human-level AI just by scaling LLMs,” arguing they cannot achieve that milestone because they simply predict text rather than truly understand the world. His startup, AMI Labs, on the other hand, aims to develop systems that observe and interact with the physical environment like humans do, potentially revolutionizing robotics, transportation, and health care.

A return to European roots

The French computer scientist, who won the 2018 Turing Award alongside Geoffrey Hinton and Yoshua Bengio, has long advocated for European AI talent. He convinced Meta to open its FAIR lab in Paris in 2015 and now argues the city offers the right environment for his next-generation research.

LeCun’s social media post announcing his departure emphasized continuity: “I am creating a startup company to continue the Advanced Machine Intelligence research program (AMI) I have been pursuing over the last several years with colleagues at FAIR, at NYU, and beyond.” He described the goal as bringing about “the next big revolution in AI: systems that understand the physical world, have persistent memory, can reason, and can plan complex action sequences.”

The partnership with Nabla provides immediate applications for AMI’s technology. The health-tech company will gain first access to world model technologies, enabling it to develop FDA-certifiable AI systems for health care. LeBrun’s transition from Nabla CEO to AMI Labs CEO signals deep integration between the two companies, though he will remain chairman and chief AI scientist at Nabla.



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Roblox CEO David Baszucki says the best career advice he’s ever received is to outright ignore the advice of others

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As some Gen Z graduates find themselves iced out of the job market, millions have slipped into so-called NEET status (not in employment, education, or training), unclear as to when their careers will finally be able to take off. For Roblox CEO David Baszucki, that sense of professional drift is familiar.

Although today he helms the $60 billion video game platform—and has a $5 billion net worth to go with it—when he graduated from Stanford University in 1985, he said his career prospects were anything but clear. 

Like today’s aspiring professionals, it was tempting for him to lean on the advice of mentors, professors, or friends to figure out how to jump-start his career. But Baszucki warns that mindset could leave you worse off. In fact, looking back, he says the best advice he ever received was to actually stop overvaluing what others think.

“A lot of my development has been trying to, over time, ignore advice I’ve been given,” Baszucki recalled to students at his alma mater. Instead, when you’re having a rough time, listen when people say, “Trust your gut.”

Baszucki went from lost window cleaner to billionaire tech leader

Even though Stanford has a reputation as a launchpad for billion-dollar companies—from Snapchat to Databricks—Baszucki hit a wall after graduation. His dream job didn’t materialize, and his résumé was thin: One of his only work experiences was window-cleaning with his brother one summer.

“I can remember in this terrible time right out of college trying to figure out what I was going to do,” Baszucki shared with an audience of Stanford business students.

“Rather than trusting my intuition, I can remember having a spreadsheet of nine potential careers and then all these metrics—‘it’s really good for this, but it’s not so good for this.’

“It was, like, a really weird way to try to figure out your career,” he added.

It was then that Baszucki first learned about the need to trust your own instincts.

After landing a postgrad salaried role, Baszucki spent the next two or three years in what he now calls the “absolute worst jobs in the world” where he faced “massive disappointment.” 

Eventually, he took a step back to listen to his gut—and the reset paid off. Baszucki went on to carve his own path and create Knowledge Revolution, an educational software company that sold for $20 million in 1998. After the sale, he expected to get poached for a CEO job. When he didn’t, he found himself once again adrift and needing to forge his own path.

“Time and time again, you have to participate in making your own reality,” he told Fortune earlier this year.

A few years later, he began building what would become Roblox, now a global gaming platform with over 150 million daily active users. 

Fortune reached out to Roblox for further comment.

The best career advice: Trust your own instincts

During a time when data and data-driven decision-making is all the rage in the workplace, leaning on intuition might sound misguided. However, many executives still lean on their instincts to guide even major business decisions.

“Be able to balance a lot of different people’s opinions, but at the end of the day, you have to have your own conviction deep down and make decisions for yourself,” LinkedIn CEO Ryan Roslansky said when asked to give career advice.

“You have to know what’s right, you have to care about what’s right, to be passionate about what’s right,” Roslansky added. “And if you’re going to put yourself out there and decide to dive into the crowd, it should be because you want to … not because someone else is telling you to do it.”

Skims cofounder and CEO Jens Grede also recently echoed the importance of trusting your gut—as long as you exercise it.

“You can feed [intuition] by being a curious person,” Grede said on his wife Emma’s Aspire podcast. “Your gut is really your collective memory, your collective experience and learnings … Every book you read, every article, every conversation, every wrong or right decision you’ve made, that becomes your gut.”



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‘The rocket ship keeps going off’: Inside the Nvidia phenomenon with author Stephen Witt

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For employees at Nvidia, the chipmaker at the center of the artificial intelligence boom, the financial incentives to retire are staggering, yet few are heading for the exits. According to Stephen Witt, the freelance journalist and author whose book on the most valuable company in the world, The Thinking Machine, just became the FT and Schroders business book of the year, this retention of wealthy engineers comes down to a fear of missing out on history (along with all that money, of course).

“I think if the company was selling breakfast cereal, a lot of them would retire, but they’re making what they believe to be the single most important technology of all time,” Witt told Fortune in a recent interview, referring to Nvidia’s groundbreaking GPU chips that function as something like the oil wells of the AI boom.

“They’re engineers,” Witt said of Nvidia CEO Jensen Huang, his friends, his investors, and his employees, all of whom he talked to for his deeply reported book. He described their attitude as one of “I can’t leave now … I just can’t not be working with this technology. It’s like a once-in-a-lifetime opportunity.” Acknowledging that Nvidia’s soaring valuation to a $4-trillion-plus market capitalization doesn’t hurt, Witt explained how “the rocket ship keeps going off,” both from a technological and financial standpoint. The thing is, he explained, “they’re a very generous employer, especially with employee stock purchasing programs.”

Field of GPU dreams

Nvidia’s journey was not an overnight success, according to Witt. The author described the company’s early development of GPUs for AI as a Field of Dreams scenario where it built technology “without any users, without any customers.” Seen through the lens of capitalism, developing a new technology, at least for “very long-dated technologies, the market will not work” without some kind of buffer to allow time for the tech to mature, Witt concluded: “Jensen was a singular individual, and his stock price went down, or was stagnant, for 10 years while he was developing these platforms, for people to compute. He was not rewarded for a long, long, long time for doing this.”

Nvidia’s financial performance and stock price have taken off since 2015, to Witt’s point, and began gathering steam in the 2004–07 period, when academic AI researchers discovered the benefit of Nvidia’s GPUs. And there was a long period where the stock was not generating great returns, but Nvidia’s chips were always popular with gamers, and so the market worked to at least that extent.

Witt noted that he found similar dynamics in previous reporting, having written a book about MP3 file-sharing tech in 2015 (How Music Got Free). “That was also true of those guys,” he said, who likewise faced many years of development before it paid off. “If we were working in a corporation, I don’t think anyone would have had the patience. We needed almost a third base between academia and finance to sort of make this work.” Witt cited other examples, such as neural nets and the state-sponsored TSMC, one of Nvidia’s closest rivals in the advanced semiconductor space.

Witt said his reporting revealed that many Nvidia workers were initially on the losing side of this dynamic, having bought into employee stock ownership programs and seen the stock fall 50% or 60% from there. “The employees would get upset. They’d be like, ‘Oh, my God … I invested, I maxed out my cap to, you know, an employee stock purchasing program, and … now it’s underwhelming, and I don’t know if I’ll ever make it back.” At that point, Huang instituted a program to allow workers to buy the stock at a discount to the current market price, but also at a discount to any price in the past two years. “And then the stock turned into a rocket ship,” said Witt. Soon enough, he found, “every employee started maxing out these contributions to the employee stock purchase program, and then the stock continued to go up another, like, hundred times on these very low-cost basis transactions.”

The bubble question

Now that the market has caught up, questions of a financial bubble loom. Witt, who has worked for a hedge fund and said he approaches journalism with a shareholder’s mindset, admits the possibility of a crash if cash flows don’t eventually align with infrastructure spending: “So, so much is predicated on getting the timing of cash flows correct. And it may be the case that we throw all this money into building data centers and buying Nvidia chips, and that doesn’t pay off at the exact right time, and then everything crashes for a little while. That may be happening right now.”

Yet Witt also drew a sharp distinction between financial bubbles and technological utility, saying that the now well-trod comparisons of AI to the internet and railroad booms may have some merit. But echoing similar remarks from leaders such as JPMorgan CEO Jamie Dimon, Witt said of AI: “This stuff is real.” Witt predicted that breakthroughs from Nvidia, TSMC, and others will lead fo a “spreading wave of robots and autonomy,” recalling Huang’s own prediction that in 10 years, anything that moves will be autonomous. “We’re moving into the world of AI,” Witt added, saying that in 10 years, “we will interact with AI as frequently as we interact with the internet or electricity. And there’s a big scramble on to be the company that gets it in front of me. I think that explains all the investment.”

The political dynamic

The big scramble for funding also has a political effect, of course. “Jensen was forced to become a political creature, especially this year,” Witt said, suggesting that “he kind of pivoted into being almost like Trump’s Thomas Cromwell,” likening him to the famous advisor to King Henry VIII, although Huang is a close external advisor and not in Trump’s cabinet, with someone like Treasury Secretary Scott Bessent or Commerce Secretary Howard Lutnick a much closer analogue. (Witt said as an aside that he’s been reading Hilary Mantel’s modern classic Wolf Hall lately, and the subject was on his mind.) On Huang and Trump’s relationship, Witt added: “He became, like, a real advisor in the game … And he was really successful in that regard.”

Witt observed of the dynamic that “Trump likes to be close to Jensen because Jensen’s a winner. And Trump likes winners, and Jensen’s basically the biggest winner there is right now.” Huang also needs certain support from the federal government, Witt added, not just exemption from tariffs for Taiwan, but also in selling certain chips to China. “Maybe even most importantly, and maybe least discussed, he needs absolutely to secure an ongoing pipeline of H-1B visas for his best technical work,” Witt said, noting that one-third, if not more, of Nvidia’s employees are South Asians. “They’re extremely dedicated, they’re extremely bright, and it’s part of really what makes Nvidia work.”

Ultimately, Nvidia’s soaring valuation is underpinned by a new geopolitical narrative. Witt argues that the U.S. is engineering a merger between Silicon Valley and the Pentagon, fueled by fears of an “AI gap” with China. “Just as in the old days,” Witt said, “you would talk about the fear of a missile gap with the Soviet Union. Now, it’s an AI gap with China.” And on that count, Witt added, Trump likes winners, “and he’s got a winner in AI.”



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