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OpenAI claimed their internal AI model is a top 50 coder in the world but couldn’t build an IDE and ended up spending $3 billion to buy one. Never trust what they say...

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AshutoshShrivastava

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602,699 görüntüleme • 1 yıl önce •via X (Twitter)

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Colonel Tasty profil fotoğrafı
Colonel Tasty1 yıl önce

Competition code is not the same as developing a fully fledged client facing application.

AshutoshShrivastava profil fotoğrafı
AshutoshShrivastava1 yıl önce

so why they keep claiming that developers won't have to code anymore 🤷

Nigam Arora profil fotoğrafı
Nigam Arora1 yıl önce

FOR PRUDENT INVESTORS ONLY ChatGPT has unleashed the golden age of AI. Many investors will make a fortune from AI stocks. Get the list of 18 AI stocks to grab your share of the profits — no cost to you.

Emily profil fotoğrafı
Emily1 yıl önce

No, this is a different story. Creating a good model is one thing, but applying it in the real world is another challenge altogether. They seek data from real users; the more, the better, and that’s the cornerstone of their success.

AshutoshShrivastava profil fotoğrafı
AshutoshShrivastava1 yıl önce

but they sell it as developers will not be needed anymore..

Julian Shalaby profil fotoğrafı
Julian Shalaby1 yıl önce

Couldn’t build an already open source IDE

AshutoshShrivastava profil fotoğrafı
AshutoshShrivastava1 yıl önce

lol :D

Virender Khanna profil fotoğrafı
Virender Khanna1 yıl önce

They didn't only buy the code , they bought the user base,acquired talent, and got a data stream to further train their models.

NewAIWorld profil fotoğrafı
NewAIWorld1 yıl önce

I literally don't understand this tbh. Why didn't they build the IDE on their own?

Jokerrealm123 profil fotoğrafı
Jokerrealm1231 yıl önce

They have the engine, this is the chassis, steering wheel, transmission, tires, everything lol

boomie profil fotoğrafı
boomie1 yıl önce

scam cultman?

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Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.

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0:51

Jensen Huang earlier explained why paying even the rumored $1B package to top AI researchers is justified. "A 150 or so AI researchers, with enough funding behind them, create an OpenAI. If you're willing to pay say $20B, $30B to buy a startup with 150 AI researchers. Why wouldn't you pay one?" Both Ben Horowitz and Jensen Huang say the same thing: a tiny pool of AI stars can build giants worth tens of billions of dollars. - 'All-In Podcast' YT (link in comment)

Rohan Paul

81,311 görüntüleme • 5 ay önce

I don't know what Sam Altman saw internally at OpenAI, but it seems that, according to their definition, AGI is here, and superintelligence is incredibly close. AI models that independently conduct scientific research and find novel solutions are already here, and their internal model appears to surpass everything seen before.
0:33

I don't know what Sam Altman saw internally at OpenAI, but it seems that, according to their definition, AGI is here, and superintelligence is incredibly close. AI models that independently conduct scientific research and find novel solutions are already here, and their internal model appears to surpass everything seen before.

Chubby♨️

70,906 görüntüleme • 3 ay önce

In 45 years on Wall Street, I've never seen anything like this. Sam Altman just convinced 3 of the world's smartest investors to fund his losses. $110 billion. But ZERO profit in sight. The largest private funding round in history. Let me explain why this is borderline criminal & what you have to understand as an investor: Amazon. Nvidia. SoftBank. 3 of the world's most sophisticated investors just handed OpenAI $110 billion at an $840 billion valuation. That's more than double the $40 billion OpenAI raised last year. For context: all US venture capital combined invested $170 billion into American startups in all of 2023. Altman just raised 65% of that. Alone. In one round. And the company STILL isn't profitable. Let's look at the actual numbers: OpenAI burned $8 billion in 2025. They project burning $17 billion in 2026. $35 billion in 2027. $47 billion in 2028. Cumulative losses before any projected path to profitability: over $115 billion. Meanwhile, Amazon's $50 billion comes with strings attached. $35 billion is contingent on OpenAI either achieving AGI or completing its IPO by year end. Read that again. $35 billion is conditioned on ACHIEVING AGI. They're literally writing checks against a scientific breakthrough that may not happen on any predictable timeline. This is what peak cycle financing looks like. The circular logic every investor should understand: Amazon invests $50 billion in OpenAI. OpenAI commits to spending $100 billion on Amazon Web Services. Nvidia invests $30 billion. OpenAI commits to buying 3 gigawatts of Nvidia compute. These aren't arms-length investments. They're vendor financing dressed up as venture capital. Amazon and Nvidia are essentially paying OpenAI to buy their own products. The $840 billion valuation prices in a future that doesn't exist yet. At $13 billion in 2025 revenue, that's 65x revenue. Even in 2021 - the most speculative bubble in recent tech history - Snowflake peaked at 50-80x revenue. And Snowflake was actually profitable. J.P. Morgan calculates that the AI industry needs $650 billion in annual revenue just to generate a 10% return on total infrastructure buildout. The entire industry currently generates a fraction of that. I've seen cycles my entire 45-year career. The 1980s defense build-up. The dot-com bubble. The 2008 mortgage machine. The pattern is always the same: When the biggest players start financing each other's growth through circular investment structures, you're not witnessing a revolution... You're watching the LAST PHASE of a credit cycle. Amazon CEO Andy Jassy said OpenAI is going to be "one of the very big winners long term." Maybe. But $840 billion assumes they've already won. Stock prices follow earnings. Always have. Always will. And right now, OpenAI's earnings are deeply, structurally, massively negative. The IPO is coming. The hype will peak. And the question every serious investor needs to answer is simple: At what price does this actually make sense? Sam Altman doesn’t know either - he just keeps raising money faster than he can burn it. This can’t end well.
1:14

In 45 years on Wall Street, I've never seen anything like this. Sam Altman just convinced 3 of the world's smartest investors to fund his losses. $110 billion. But ZERO profit in sight. The largest private funding round in history. Let me explain why this is borderline criminal & what you have to understand as an investor: Amazon. Nvidia. SoftBank. 3 of the world's most sophisticated investors just handed OpenAI $110 billion at an $840 billion valuation. That's more than double the $40 billion OpenAI raised last year. For context: all US venture capital combined invested $170 billion into American startups in all of 2023. Altman just raised 65% of that. Alone. In one round. And the company STILL isn't profitable. Let's look at the actual numbers: OpenAI burned $8 billion in 2025. They project burning $17 billion in 2026. $35 billion in 2027. $47 billion in 2028. Cumulative losses before any projected path to profitability: over $115 billion. Meanwhile, Amazon's $50 billion comes with strings attached. $35 billion is contingent on OpenAI either achieving AGI or completing its IPO by year end. Read that again. $35 billion is conditioned on ACHIEVING AGI. They're literally writing checks against a scientific breakthrough that may not happen on any predictable timeline. This is what peak cycle financing looks like. The circular logic every investor should understand: Amazon invests $50 billion in OpenAI. OpenAI commits to spending $100 billion on Amazon Web Services. Nvidia invests $30 billion. OpenAI commits to buying 3 gigawatts of Nvidia compute. These aren't arms-length investments. They're vendor financing dressed up as venture capital. Amazon and Nvidia are essentially paying OpenAI to buy their own products. The $840 billion valuation prices in a future that doesn't exist yet. At $13 billion in 2025 revenue, that's 65x revenue. Even in 2021 - the most speculative bubble in recent tech history - Snowflake peaked at 50-80x revenue. And Snowflake was actually profitable. J.P. Morgan calculates that the AI industry needs $650 billion in annual revenue just to generate a 10% return on total infrastructure buildout. The entire industry currently generates a fraction of that. I've seen cycles my entire 45-year career. The 1980s defense build-up. The dot-com bubble. The 2008 mortgage machine. The pattern is always the same: When the biggest players start financing each other's growth through circular investment structures, you're not witnessing a revolution... You're watching the LAST PHASE of a credit cycle. Amazon CEO Andy Jassy said OpenAI is going to be "one of the very big winners long term." Maybe. But $840 billion assumes they've already won. Stock prices follow earnings. Always have. Always will. And right now, OpenAI's earnings are deeply, structurally, massively negative. The IPO is coming. The hype will peak. And the question every serious investor needs to answer is simple: At what price does this actually make sense? Sam Altman doesn’t know either - he just keeps raising money faster than he can burn it. This can’t end well.

George Noble

1,196,925 görüntüleme • 4 ay önce

Jensen Huang: “Each gigawatt is about $50 billion. It’s the most expensive factory in the world. But that one $50 billion factory also generates $300 billion to $400 billion in intelligence. The production value is incredible.”
0:25

Jensen Huang: “Each gigawatt is about $50 billion. It’s the most expensive factory in the world. But that one $50 billion factory also generates $300 billion to $400 billion in intelligence. The production value is incredible.”

Small Cap Snipa

188,196 görüntüleme • 1 ay önce

Steve Jobs wanted us dead: “In their internal meetings they literally said: We’re going to kill you.” “Imagine that you're a small startup and then the most respected product company in the world —and the person you look up to the most— Steve Jobs says that he's coming after you.” “But not only that, later they go and buy Beats Music and bring in Dr. Dre and Jimmy Iovine!” “We're going to kill you. That's what they literally said in their internal meetings. They gave us six months to live.”
0:25

Steve Jobs wanted us dead: “In their internal meetings they literally said: We’re going to kill you.” “Imagine that you're a small startup and then the most respected product company in the world —and the person you look up to the most— Steve Jobs says that he's coming after you.” “But not only that, later they go and buy Beats Music and bring in Dr. Dre and Jimmy Iovine!” “We're going to kill you. That's what they literally said in their internal meetings. They gave us six months to live.”

David Senra

134,296 görüntüleme • 1 ay önce

Big Tech is spending $700 BILLION on AI this year. But their cash flow is collapsing. Amazon is going into debt. Google's free cash flow is dropping 90%. And they're literally paying influencers $600,000 each to convince you AI is worth using. If this technology was as revolutionary as they claim, why are they spending half a million dollars per creator to sell it? Here's what's actually happening behind the scenes: This week, all four tech giants reported earnings at once and every single one dropped a spending number that made Wall Street lose its mind. Amazon: $200 billion in capex. The largest corporate capital expenditure in HISTORY. Stock dropped 9%. Google: $185 billion. Wall Street expected $120 billion. Stock dropped 5%. Meta: $135 billion. Double what they spent last year. Microsoft: down 17% this year, worst performer in the group. Combined 2026 AI infrastructure spend: almost $700 billion. But here's where it gets ugly. Amazon's free cash flow collapsed 71%. Morgan Stanley projects they'll burn through $17 billion in NEGATIVE free cash flow this year. Bank of America says the deficit could hit $28 billion. Amazon quietly filed with the SEC on Friday saying they might need to raise debt to keep building. Google's free cash flow is projected to crater 90%, from $73 billion down to $8.2 billion. They already did a $25 billion bond sale in November and their long-term debt QUADRUPLED last year. These companies are spending everything they have, then borrowing more, then spending that too. Now here's the part that got me thinking: CNBC just reported that Google, Microsoft, OpenAI, Anthropic, and Meta are paying influencers between $400,000 and $600,000 EACH to promote AI products on Instagram and YouTube. AI platforms spent over $1 BILLION on digital ads in 2025, a 126% jump year-over-year. Google and Microsoft's AI ad spending jumped 495% in January 2026 alone. Anthropic is running Super Bowl ads. OpenAI is flying creators to private events and covering all expenses. When was the last time a truly revolutionary technology needed a $1 billion ad campaign and $600K influencer deals to get adoption? Did the iPhone need influencer campaigns? Did Google Search need Super Bowl ads in 1998? Did email need a billion dollar marketing push? No. People just used them because the value was obvious. You know what DOES need massive paid promotions? Pharmaceutical drugs. Crypto exchanges. Online gambling apps. MLM companies. Products where adoption is driven by hype, not utility. And now, apparently, AI. So the pitch from Big Tech is: "This technology will eliminate your job. Also please use it. Here's $600K if you tell your followers it's cool." They need HUMANS to sell a product they designed to REPLACE humans. They need creators to promote a technology that will eventually make creators obsolete. They need influencers to build trust in a system that will eliminate the need for influencer marketing entirely. The question everyone should be asking: If $700 billion per year in spending can't produce a product that sells itself, when exactly does this start making money? Because right now the math is messed up. $700 billion in spending, cash flow crashing, stocks tanking, SEC filings about raising more capital, and the best growth strategy they've got is paying tiktokers to demo features. Either AI is about to deliver the greatest economic transformation in human history, or we're watching the most expensive corporate Hail Mary ever thrown. And the fact that they need to pay half a million dollars per influencer to convince you it's the first one isn't a good sign.
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Big Tech is spending $700 BILLION on AI this year. But their cash flow is collapsing. Amazon is going into debt. Google's free cash flow is dropping 90%. And they're literally paying influencers $600,000 each to convince you AI is worth using. If this technology was as revolutionary as they claim, why are they spending half a million dollars per creator to sell it? Here's what's actually happening behind the scenes: This week, all four tech giants reported earnings at once and every single one dropped a spending number that made Wall Street lose its mind. Amazon: $200 billion in capex. The largest corporate capital expenditure in HISTORY. Stock dropped 9%. Google: $185 billion. Wall Street expected $120 billion. Stock dropped 5%. Meta: $135 billion. Double what they spent last year. Microsoft: down 17% this year, worst performer in the group. Combined 2026 AI infrastructure spend: almost $700 billion. But here's where it gets ugly. Amazon's free cash flow collapsed 71%. Morgan Stanley projects they'll burn through $17 billion in NEGATIVE free cash flow this year. Bank of America says the deficit could hit $28 billion. Amazon quietly filed with the SEC on Friday saying they might need to raise debt to keep building. Google's free cash flow is projected to crater 90%, from $73 billion down to $8.2 billion. They already did a $25 billion bond sale in November and their long-term debt QUADRUPLED last year. These companies are spending everything they have, then borrowing more, then spending that too. Now here's the part that got me thinking: CNBC just reported that Google, Microsoft, OpenAI, Anthropic, and Meta are paying influencers between $400,000 and $600,000 EACH to promote AI products on Instagram and YouTube. AI platforms spent over $1 BILLION on digital ads in 2025, a 126% jump year-over-year. Google and Microsoft's AI ad spending jumped 495% in January 2026 alone. Anthropic is running Super Bowl ads. OpenAI is flying creators to private events and covering all expenses. When was the last time a truly revolutionary technology needed a $1 billion ad campaign and $600K influencer deals to get adoption? Did the iPhone need influencer campaigns? Did Google Search need Super Bowl ads in 1998? Did email need a billion dollar marketing push? No. People just used them because the value was obvious. You know what DOES need massive paid promotions? Pharmaceutical drugs. Crypto exchanges. Online gambling apps. MLM companies. Products where adoption is driven by hype, not utility. And now, apparently, AI. So the pitch from Big Tech is: "This technology will eliminate your job. Also please use it. Here's $600K if you tell your followers it's cool." They need HUMANS to sell a product they designed to REPLACE humans. They need creators to promote a technology that will eventually make creators obsolete. They need influencers to build trust in a system that will eliminate the need for influencer marketing entirely. The question everyone should be asking: If $700 billion per year in spending can't produce a product that sells itself, when exactly does this start making money? Because right now the math is messed up. $700 billion in spending, cash flow crashing, stocks tanking, SEC filings about raising more capital, and the best growth strategy they've got is paying tiktokers to demo features. Either AI is about to deliver the greatest economic transformation in human history, or we're watching the most expensive corporate Hail Mary ever thrown. And the fact that they need to pay half a million dollars per influencer to convince you it's the first one isn't a good sign.

Ricardo

725,293 görüntüleme • 5 ay önce

Larry Ellison says Oracle is building nuclear reactors to power "acres" of GPU clusters and it will cost companies $100 billion in the next 3 years to build a frontier AI model and stay in the race
1:09

Larry Ellison says Oracle is building nuclear reactors to power "acres" of GPU clusters and it will cost companies $100 billion in the next 3 years to build a frontier AI model and stay in the race

Tsarathustra

1,017,124 görüntüleme • 1 yıl önce

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.
0:22

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.

Crypto Rover

58,862 görüntüleme • 1 ay önce

🚨 WARNING: AI BUBBLE IS ABOUT TO BURST Microsoft gave OpenAI $13 BILLION. OpenAI sent it back through Azure. Microsoft booked it as revenue. Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations. OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio has warned that late stage bubbles are driven by fake flows, not real economics. That is exactly what this is starting to look like.
0:39

🚨 WARNING: AI BUBBLE IS ABOUT TO BURST Microsoft gave OpenAI $13 BILLION. OpenAI sent it back through Azure. Microsoft booked it as revenue. Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations. OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio has warned that late stage bubbles are driven by fake flows, not real economics. That is exactly what this is starting to look like.

Rekt Fencer

262,173 görüntüleme • 1 ay önce

Build and test applications faster with a multi-agent coding system. Gain direct experience with Google Antigravity at a Build with AI event and move from design to execution using an IDE with built-in gen AI. 🔹 Multi-agent coding system and IDE 🔹 Lab testing and app development 🔹 High model quotas Get started →
0:37

Build and test applications faster with a multi-agent coding system. Gain direct experience with Google Antigravity at a Build with AI event and move from design to execution using an IDE with built-in gen AI. 🔹 Multi-agent coding system and IDE 🔹 Lab testing and app development 🔹 High model quotas Get started →

Google for Developers

15,253 görüntüleme • 3 ay önce

🚨 BREAKING: Watch the 3 protesters cry in Iranian court today after BURNING DOWN Jafari Mosque and Imam Hadi Seminary in Tehran on January 8 🇮🇷 • One of them admitted setting fire to motorcycles inside the mosque and claimed an unknown woman gave them flammable material. • Another admitted being present and expressed remorse. • The 3rd denied arson but admitted moving trash bins; and has a prior theft conviction. • Estimated damage they caused: ~50 billion tomans (~ $303K,) possibly up to 150 billion tomans if full reconstruction is needed. What do you think their punishment should be?
1:48

🚨 BREAKING: Watch the 3 protesters cry in Iranian court today after BURNING DOWN Jafari Mosque and Imam Hadi Seminary in Tehran on January 8 🇮🇷 • One of them admitted setting fire to motorcycles inside the mosque and claimed an unknown woman gave them flammable material. • Another admitted being present and expressed remorse. • The 3rd denied arson but admitted moving trash bins; and has a prior theft conviction. • Estimated damage they caused: ~50 billion tomans (~ $303K,) possibly up to 150 billion tomans if full reconstruction is needed. What do you think their punishment should be?

Jvnior

36,150 görüntüleme • 4 ay önce

🚨 THE REAL RISK WAS NEVER THE SPACEX IPO. It is the cash needed to chase it. Nearly $4 trillion in private giants are lining up to go public. SpaceX. OpenAI. Anthropic. All near the same cycle top. To buy them, funds sell what they already hold. The liquid things sell first. Bitcoin. Tech. AI names. This is not an IPO wave. It is a liquidity black hole. And it has barely started. Position accordingly.
0:23

🚨 THE REAL RISK WAS NEVER THE SPACEX IPO. It is the cash needed to chase it. Nearly $4 trillion in private giants are lining up to go public. SpaceX. OpenAI. Anthropic. All near the same cycle top. To buy them, funds sell what they already hold. The liquid things sell first. Bitcoin. Tech. AI names. This is not an IPO wave. It is a liquidity black hole. And it has barely started. Position accordingly.

Mister Crypto

83,857 görüntüleme • 1 ay önce