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How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending  million payments to OpenAI quarterly as part of a broader  billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits

How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’

Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits

Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

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Deadspin | Alexandre Texier lifts Canadiens to 3-2 series lead over Lightning <div id=""><section id="0" class=" w-full"><div class="xl:container mx-0 !px-4 py-0 pb-4 !mx-0 !px-0"><img src="https://images.deadspin.com/tr:w-900/28841283.jpg" srcset="https://images.deadspin.com/tr:w-900/28841283.jpg" alt="NHL: Stanley Cup Playoffs-Montreal Canadiens at Tampa Bay Lightning" class="w-full" fetchpriority="high" loading="eager"/><span class="text-0.8 leading-tight">Apr 29, 2026; Tampa, Florida, USA; Montreal Canadiens defenseman Lane Hutson (48) blocks Tampa Bay Lightning center Anthony Cirelli (71) from shooting in the first period during game five of the first round of the 2026 Stanley Cup Playoffs at Benchmark International Arena. Mandatory Credit: Nathan Ray Seebeck-Imagn Images<!-- --> <!-- --> </span></div></section><section id="section-1"> <p>Alexandre Texier netted a tiebreaking goal early in the third period, and the visiting Montreal Canadiens took control of their Eastern Conference first-round playoff series by holding off the Tampa Bay Lightning 3-2 in Game 5 on Wednesday night.</p> </section><section id="section-2"> <p>The Canadiens grabbed a 3-2 edge in the best-of-seven series, and they head home to Montreal for Game 6 on Friday.</p> </section><section id="section-3"> <p>Just 1:06 into the third, Texier took a long feed from defenseman Lane Hutson, skated into the left circle unobstructed and blasted a shot that deflected off goaltender Andrei Vasilevskiy’s glove and in.</p> </section><section id="section-4"> <p>Montreal fended off 2:33 with Vasilevskiy (21 saves) pulled for the extra skater. Canadiens goalie Jakub Dobes wound up with 38 saves on the night.</p> </section><section id="section-5"> <p>Brendan Gallagher and Kirby Dach also scored for the Canadiens, who are in the playoffs for the first time since 2020-21.</p> </section><br/><section id="section-6"> <p>Dominic James and Jake Guentzel found the net for the Lightning, who dropped to 1-2 on home ice in the series. Tampa Bay managed no shots over a span of 10:03 in the third, but they did test Dobes with 17 shots in the frame overall.</p> </section> <section id="section-7"> <p>After former Tampa Bay Buccaneers Super Bowl-winning coach Jon Gruden fired up the crowd in the pregame, Montreal stemmed the enthusiasm three minutes in when Alex Newhook stole the puck in the neutral zone and drove the net on Vasilevskiy to create a rebound.</p> </section><section id="section-8"> <p>The gritty Gallagher, scratched the first four games and inserted for Oliver Kapanen, followed it up for a lead.</p> </section><section id="section-9"> <p>Following a failed Tampa Bay power play after Hutson went off for a delay of game in the second period, the home side had another man advantage for Arber Xhekaj’s roughing infraction. Vasilevskiy had to immediately stop Jake Evans’ breakaway attempt to start the Lightning’s third power play.</p> </section><section id="section-10"> <p>James evened it 32 seconds after the power play ended, drilling his first career playoff goal by Dobes on the glove side. However, Dach tallied 11 seconds later when he worked his way around Gage Goncalves, kicked the puck to his stick through the crease and flipped in a shot for a 2-1 edge.</p> </section><section id="section-11"> <p>Tampa Bay caught Montreal for the second time on a 2-on-1 and scored as Guentzel fired one through the Dobes’ pads at 17:23 of the middle period.</p> </section><br/><section id="section-12"> <p>–Field Level Media</p> </section> </div> #Deadspin #Alexandre #Texier #lifts #Canadiens #series #lead #Lightning


Elon Musk’s SpaceX spent an eye-watering $18.4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss.

The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public.

To ease some of those worries, Musk promised dramatic AI advancements.

“Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”

Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday.

“The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.

Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised.

On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.

The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities.

“We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.”

All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.

“I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.

#SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX">SpaceX Stock Drops After First Earnings Call as Musk Fails to Woo Investors With AI Goals
                Elon Musk’s SpaceX spent an eye-watering .4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping .8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a .3 billion net operating loss. The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than 0 billion worth of stock for the first time since SpaceX went public. To ease some of those worries, Musk promised dramatic AI advancements. “Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”

 Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday. “The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.

 Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised. On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.

 The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities. “We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.” All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.

 “I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.      #SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX

down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss.

The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public.

To ease some of those worries, Musk promised dramatic AI advancements.

“Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”

Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday.

“The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.

Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised.

On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.

The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities.

“We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.”

All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.

“I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.

#SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX">SpaceX Stock Drops After First Earnings Call as Musk Fails to Woo Investors With AI GoalsSpaceX Stock Drops After First Earnings Call as Musk Fails to Woo Investors With AI Goals
                Elon Musk’s SpaceX spent an eye-watering $18.4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss. The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public. To ease some of those worries, Musk promised dramatic AI advancements. “Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”

 Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday. “The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.

 Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised. On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.

 The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities. “We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.” All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.

 “I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.      #SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX

Elon Musk’s SpaceX spent an eye-watering $18.4 billion in its first quarter as a publicly traded company and warned investors to expect similarly high spending in the next two financial quarters, sending the stock price down more than 8% in late trading on Tuesday evening. A whopping $15.8 billion of that spending was to power its artificial intelligence efforts, a division that ended the quarter with a $1.3 billion net operating loss.

The figure comes from the company’s first earnings report since the record-setting initial public offering hit the market in mid-June. Although the IPO was surely an amazing day for Musk, who briefly became the world’s first trillionaire, things have not been all peachy since then, with the stock price currently well below its IPO price. As of last week, the company’s stock was so far down from its IPO highs that the value it shed was roughly equal to Musk’s other company, Tesla’s, market capitalization. Tuesday’s stock sales are unlikely to help that scenario, and neither is the fact that the company’s first lockup period ends on Thursday, meaning some company insiders will be able to sell more than $100 billion worth of stock for the first time since SpaceX went public.

To ease some of those worries, Musk promised dramatic AI advancements.

“Our rate of growth certainly is faster than anyone else, and our efficiency of compute deployment I think is also the highest,” Musk claimed. “So we expect to end this year with over two gigawatts of compute, and probably our cumulative compute online by the end of next year will be several times higher.”

Those compute plans are ambitious, but Musk struck a defiant tone against any doubters in the earnings call on Tuesday.

“The terrestrial data centers are a trivial problem compared to making gigantic reusable rockets which are launched frequently,” Musk said.

Musk said SpaceX’s data centers will be exclusively built on Nvidia chips. The two companies are also partnering to build Starmind AI satellites, a part of SpaceX’s even more ambitious plan to put a giant colony of up to a million AI data centers in Earth’s orbit. Some experts are hesitant that Musk and his company will be able to pull off the space-based data center colony plan, while many have also raised concerns about the environmental, economic, and social impact of such a huge launch program if it does pan out as promised.

On the call, Musk said that SpaceX would begin launching the Starmind AI satellites in 2027.

The company will also be unveiling Grok 5 before the end of the year, which Musk said would be trained on “all the data that SpaceX has ever produced,” making the chatbot “by far the best engineer.” Musk has previously claimed the yet-to-be-unveiled LLM will be AGI-level, aka a contested hypothetical AI that would theoretically equal or beat all human capabilities.

“We expect the cadence of AI development to improve dramatically,” Musk said. “I think, by the end of next year, it’s not clear to me that there’s anything digital at least that AI won’t be able to do based on the current rate of improvement.”

All of this comes with a huge, obvious caveat: Musk has long had a penchant for overpromising. His hefty promises extended beyond the AI sphere on Tuesday as well, with the CEO claiming that the company’s space business would be launching a rocket a day by next year and that there will be robots working in manufacturing operations on the literal Moon.

“I know this sounds totally nuts, but you can probably scale to a thousand times the economy of Earth in terms of intelligence launched to space, but probably maybe even a million times,” Musk claimed. “We’re going to build the factories on the Moon; the robots will be helpful with that.

#SpaceX #Stock #Drops #Earnings #Call #Musk #Fails #Woo #Investors #Goalscapex,Elon Musk,SPACEX

real-life ray gun into a 747 to shoot down ballistic missiles and stuck a laser on top of a Humvee to zap roadside bombs. For more than 50 years, the United States military and its researchers have tried to develop laser weapons. None of them panned out.

But now, the US Army is about to make a working laser weapon an official part of its arsenal. The Pentagon is poised to sign a contract to acquire and rapidly deploy what’s called an Enduring High Energy Laser in and around bases across the world to defend them from drone attacks, according to sources familiar with the matter. The official announcement could come as early as this week. When the deal is signed, it will mark the first time that the US military will have committed to equipping its forces with laser weapons in significant numbers.

“For years, lasers were going to be the future, and they never really came to their own. Now, they’re actually coming to their own,” Mark J. Lewis, the former Air Force chief scientist, tells WIRED.

The Iran and Ukraine wars have shown that drones are now so cheap, so plentiful, and so deadly that they’re impossible to stop with any single countermeasure. Some of the traditional ones have been particularly clunky. During the early days of the Iran conflict, the US even resorted to firing $4 million Patriot missiles at $35,000 Iranian drones—a waste of money, and a move that depleted the American interceptor stockpile.

Modern lasers, on the other hand, never run out of ammunition. “Basically, you can keep firing them as long as you’ve got power,” Lewis says. “There are some other issues with lasers, including how rapidly you can refire and recharge. But if you solve those problems, then suddenly you’ve got a pretty nifty way to help counteract things like a drone swarm attack.”

That’s one reason why the US military, at this moment, has either deployed or is actively testing a half-dozen laser weapons systems, according to the Laser Wars newsletter. The Navy has installed laser “dazzlers” on two of its ships to blind drones’ electro-optical sensors. The Air Force’s command for Europe and Africa has sent Boeing’s Compact Laser Weapons System “to locations across the theater.” In late June, Defense Secretary Pete Hegseth traveled to the Army’s test range in White Sands, New Mexico, for a demonstration of all sorts of directed-energy weapon projects.

The deployments haven’t all gone great. Four vehicles equipped with Raytheon air-defense lasers were yanked from the Middle East after poor reviews from soldiers. One laser, built by the defense contractor AeroVironment and positioned along the southern US border, accidentally zapped a party balloon in February, causing the Federal Aviation Administration to briefly close the airspace around El Paso, Texas. Once it was reopened, the laser shot down a Border Patrol drone by mistake.

Despite such mishaps, the Army appears ready to go beyond the one-offs and the experiments. In fact, in some ways, the accidental kill helped make the case for the laser, proving it could actually take out such a drone.

The Pentagon and its suppliers had been scrambling to field something, anything to defend against mass-produced, low-cost attack drones. They’ve rolled out radio frequency jammers, microwave weapons, an array of missiles, drones designed to kill other drones, even copies of the Iranian robots. None of them in isolation have been enough. On March 1, an Iranian drone killed six US service members and injured 30 others.

#Landmark #Deal #Officially #Add #Laser #Weapons #Army #Arsenallasers,drones,weapons and ammo,iran,military,military tech,army">Landmark Deal Would Officially Add Laser Weapons to US Army ArsenalThey stuffed a real-life ray gun into a 747 to shoot down ballistic missiles and stuck a laser on top of a Humvee to zap roadside bombs. For more than 50 years, the United States military and its researchers have tried to develop laser weapons. None of them panned out.But now, the US Army is about to make a working laser weapon an official part of its arsenal. The Pentagon is poised to sign a contract to acquire and rapidly deploy what’s called an Enduring High Energy Laser in and around bases across the world to defend them from drone attacks, according to sources familiar with the matter. The official announcement could come as early as this week. When the deal is signed, it will mark the first time that the US military will have committed to equipping its forces with laser weapons in significant numbers.“For years, lasers were going to be the future, and they never really came to their own. Now, they’re actually coming to their own,” Mark J. Lewis, the former Air Force chief scientist, tells WIRED.The Iran and Ukraine wars have shown that drones are now so cheap, so plentiful, and so deadly that they’re impossible to stop with any single countermeasure. Some of the traditional ones have been particularly clunky. During the early days of the Iran conflict, the US even resorted to firing  million Patriot missiles at ,000 Iranian drones—a waste of money, and a move that depleted the American interceptor stockpile.Modern lasers, on the other hand, never run out of ammunition. “Basically, you can keep firing them as long as you’ve got power,” Lewis says. “There are some other issues with lasers, including how rapidly you can refire and recharge. But if you solve those problems, then suddenly you’ve got a pretty nifty way to help counteract things like a drone swarm attack.”That’s one reason why the US military, at this moment, has either deployed or is actively testing a half-dozen laser weapons systems, according to the Laser Wars newsletter. The Navy has installed laser “dazzlers” on two of its ships to blind drones’ electro-optical sensors. The Air Force’s command for Europe and Africa has sent Boeing’s Compact Laser Weapons System “to locations across the theater.” In late June, Defense Secretary Pete Hegseth traveled to the Army’s test range in White Sands, New Mexico, for a demonstration of all sorts of directed-energy weapon projects.The deployments haven’t all gone great. Four vehicles equipped with Raytheon air-defense lasers were yanked from the Middle East after poor reviews from soldiers. One laser, built by the defense contractor AeroVironment and positioned along the southern US border, accidentally zapped a party balloon in February, causing the Federal Aviation Administration to briefly close the airspace around El Paso, Texas. Once it was reopened, the laser shot down a Border Patrol drone by mistake.Despite such mishaps, the Army appears ready to go beyond the one-offs and the experiments. In fact, in some ways, the accidental kill helped make the case for the laser, proving it could actually take out such a drone.The Pentagon and its suppliers had been scrambling to field something, anything to defend against mass-produced, low-cost attack drones. They’ve rolled out radio frequency jammers, microwave weapons, an array of missiles, drones designed to kill other drones, even copies of the Iranian robots. None of them in isolation have been enough. On March 1, an Iranian drone killed six US service members and injured 30 others.#Landmark #Deal #Officially #Add #Laser #Weapons #Army #Arsenallasers,drones,weapons and ammo,iran,military,military tech,army

to shoot down ballistic missiles and stuck a laser on top of a Humvee to zap roadside bombs. For more than 50 years, the United States military and its researchers have tried to develop laser weapons. None of them panned out.

But now, the US Army is about to make a working laser weapon an official part of its arsenal. The Pentagon is poised to sign a contract to acquire and rapidly deploy what’s called an Enduring High Energy Laser in and around bases across the world to defend them from drone attacks, according to sources familiar with the matter. The official announcement could come as early as this week. When the deal is signed, it will mark the first time that the US military will have committed to equipping its forces with laser weapons in significant numbers.

“For years, lasers were going to be the future, and they never really came to their own. Now, they’re actually coming to their own,” Mark J. Lewis, the former Air Force chief scientist, tells WIRED.

The Iran and Ukraine wars have shown that drones are now so cheap, so plentiful, and so deadly that they’re impossible to stop with any single countermeasure. Some of the traditional ones have been particularly clunky. During the early days of the Iran conflict, the US even resorted to firing $4 million Patriot missiles at $35,000 Iranian drones—a waste of money, and a move that depleted the American interceptor stockpile.

Modern lasers, on the other hand, never run out of ammunition. “Basically, you can keep firing them as long as you’ve got power,” Lewis says. “There are some other issues with lasers, including how rapidly you can refire and recharge. But if you solve those problems, then suddenly you’ve got a pretty nifty way to help counteract things like a drone swarm attack.”

That’s one reason why the US military, at this moment, has either deployed or is actively testing a half-dozen laser weapons systems, according to the Laser Wars newsletter. The Navy has installed laser “dazzlers” on two of its ships to blind drones’ electro-optical sensors. The Air Force’s command for Europe and Africa has sent Boeing’s Compact Laser Weapons System “to locations across the theater.” In late June, Defense Secretary Pete Hegseth traveled to the Army’s test range in White Sands, New Mexico, for a demonstration of all sorts of directed-energy weapon projects.

The deployments haven’t all gone great. Four vehicles equipped with Raytheon air-defense lasers were yanked from the Middle East after poor reviews from soldiers. One laser, built by the defense contractor AeroVironment and positioned along the southern US border, accidentally zapped a party balloon in February, causing the Federal Aviation Administration to briefly close the airspace around El Paso, Texas. Once it was reopened, the laser shot down a Border Patrol drone by mistake.

Despite such mishaps, the Army appears ready to go beyond the one-offs and the experiments. In fact, in some ways, the accidental kill helped make the case for the laser, proving it could actually take out such a drone.

The Pentagon and its suppliers had been scrambling to field something, anything to defend against mass-produced, low-cost attack drones. They’ve rolled out radio frequency jammers, microwave weapons, an array of missiles, drones designed to kill other drones, even copies of the Iranian robots. None of them in isolation have been enough. On March 1, an Iranian drone killed six US service members and injured 30 others.

#Landmark #Deal #Officially #Add #Laser #Weapons #Army #Arsenallasers,drones,weapons and ammo,iran,military,military tech,army">Landmark Deal Would Officially Add Laser Weapons to US Army Arsenal

They stuffed a real-life ray gun into a 747 to shoot down ballistic missiles and stuck a laser on top of a Humvee to zap roadside bombs. For more than 50 years, the United States military and its researchers have tried to develop laser weapons. None of them panned out.

But now, the US Army is about to make a working laser weapon an official part of its arsenal. The Pentagon is poised to sign a contract to acquire and rapidly deploy what’s called an Enduring High Energy Laser in and around bases across the world to defend them from drone attacks, according to sources familiar with the matter. The official announcement could come as early as this week. When the deal is signed, it will mark the first time that the US military will have committed to equipping its forces with laser weapons in significant numbers.

“For years, lasers were going to be the future, and they never really came to their own. Now, they’re actually coming to their own,” Mark J. Lewis, the former Air Force chief scientist, tells WIRED.

The Iran and Ukraine wars have shown that drones are now so cheap, so plentiful, and so deadly that they’re impossible to stop with any single countermeasure. Some of the traditional ones have been particularly clunky. During the early days of the Iran conflict, the US even resorted to firing $4 million Patriot missiles at $35,000 Iranian drones—a waste of money, and a move that depleted the American interceptor stockpile.

Modern lasers, on the other hand, never run out of ammunition. “Basically, you can keep firing them as long as you’ve got power,” Lewis says. “There are some other issues with lasers, including how rapidly you can refire and recharge. But if you solve those problems, then suddenly you’ve got a pretty nifty way to help counteract things like a drone swarm attack.”

That’s one reason why the US military, at this moment, has either deployed or is actively testing a half-dozen laser weapons systems, according to the Laser Wars newsletter. The Navy has installed laser “dazzlers” on two of its ships to blind drones’ electro-optical sensors. The Air Force’s command for Europe and Africa has sent Boeing’s Compact Laser Weapons System “to locations across the theater.” In late June, Defense Secretary Pete Hegseth traveled to the Army’s test range in White Sands, New Mexico, for a demonstration of all sorts of directed-energy weapon projects.

The deployments haven’t all gone great. Four vehicles equipped with Raytheon air-defense lasers were yanked from the Middle East after poor reviews from soldiers. One laser, built by the defense contractor AeroVironment and positioned along the southern US border, accidentally zapped a party balloon in February, causing the Federal Aviation Administration to briefly close the airspace around El Paso, Texas. Once it was reopened, the laser shot down a Border Patrol drone by mistake.

Despite such mishaps, the Army appears ready to go beyond the one-offs and the experiments. In fact, in some ways, the accidental kill helped make the case for the laser, proving it could actually take out such a drone.

The Pentagon and its suppliers had been scrambling to field something, anything to defend against mass-produced, low-cost attack drones. They’ve rolled out radio frequency jammers, microwave weapons, an array of missiles, drones designed to kill other drones, even copies of the Iranian robots. None of them in isolation have been enough. On March 1, an Iranian drone killed six US service members and injured 30 others.

#Landmark #Deal #Officially #Add #Laser #Weapons #Army #Arsenallasers,drones,weapons and ammo,iran,military,military tech,army

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