Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Dario Amodei says scaling will get us to AGI, but without a single arrival moment Every few months, models get better at coding, science, and math — now winning Olympiads and doing new mathematics Progress has reached a point where Anthropic engineers no longer write code from scratch; they... show more

Haider.

61,873 subscribers

28,296 Aufrufe • vor 7 Monaten •via X (Twitter)

Bildung Nachrichten & Politik Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Dario Amodei: every few months, new models become smarter than the last, and they’re approaching the point of outperforming most humans at most tasks; anthropic already uses Claude to build their products, train new versions,; and he reaffirms his 90% code thesis.

Dario Amodei: every few months, new models become smarter than the last, and they’re approaching the point of outperforming most humans at most tasks; anthropic already uses Claude to build their products, train new versions,; and he reaffirms his 90% code thesis.

Chubby♨️

29,238 Aufrufe • vor 9 Monaten

yesterday, Anthropic CEO Dario Amodei predicted: in 3-6 months, AI will write 90% of the code, and in 12 months nearly all of it i'm not sure how this will come true. but i built a hand gesture-controlled music app using Claude 3.7 sonnet without writing a single line of code

yesterday, Anthropic CEO Dario Amodei predicted: in 3-6 months, AI will write 90% of the code, and in 12 months nearly all of it i'm not sure how this will come true. but i built a hand gesture-controlled music app using Claude 3.7 sonnet without writing a single line of code

Haider.

50,316 Aufrufe • vor 1 Jahr

Anthropic CEO, Dario Amodei: "we might be 6-12 months away from models doing all of what software engineers do end-to-end" We're approaching a feedback loop where AI builds better AI But the loop isn't fully closed yet, chip manufacturing and training time still limit speed

Anthropic CEO, Dario Amodei: "we might be 6-12 months away from models doing all of what software engineers do end-to-end" We're approaching a feedback loop where AI builds better AI But the loop isn't fully closed yet, chip manufacturing and training time still limit speed

Haider.

743,476 Aufrufe • vor 5 Monaten

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.

Chris

680,468 Aufrufe • vor 5 Monaten

Based on a staggering leap from 3% to 50% on professional benchmarks in mere months, Anthropic CEO Dario Amodei states that human-level AI is no longer a distant concept. This exponential progress suggests it is now a near-term reality, arriving not in decades, but likely within months, shattering all conventional predictions. The age of AGI is at our doorstep.

Based on a staggering leap from 3% to 50% on professional benchmarks in mere months, Anthropic CEO Dario Amodei states that human-level AI is no longer a distant concept. This exponential progress suggests it is now a near-term reality, arriving not in decades, but likely within months, shattering all conventional predictions. The age of AGI is at our doorstep.

Camus

11,080 Aufrufe • vor 10 Monaten

Anthropic CEO Dario Amodei: "Some early companies got Mythos and told us this is a super weapon, please don't release it" On leaving OpenAI: "When you can't trust someone, and their values don't match what they say, it becomes very hard to stay" Boris Cherny, head of Claude Code: "90% of code at Anthropic is written by Claude, a lot of Claude Code is written by Claude Code" Then Dario says the quiet part even louder: 10–25% odds of civilizational collapse from AI 47 minutes Free Dario, Daniela, Boris Probably the deepest look inside Anthropic ever filmed Mythos Claude Code OpenAI split Superweapon models 90% AI-written code Bookmark it and watch ↓

Anthropic CEO Dario Amodei: "Some early companies got Mythos and told us this is a super weapon, please don't release it" On leaving OpenAI: "When you can't trust someone, and their values don't match what they say, it becomes very hard to stay" Boris Cherny, head of Claude Code: "90% of code at Anthropic is written by Claude, a lot of Claude Code is written by Claude Code" Then Dario says the quiet part even louder: 10–25% odds of civilizational collapse from AI 47 minutes Free Dario, Daniela, Boris Probably the deepest look inside Anthropic ever filmed Mythos Claude Code OpenAI split Superweapon models 90% AI-written code Bookmark it and watch ↓

rari

65,014 Aufrufe • vor 1 Monat

📁 Boris Cherny, engineer at Anthropic, says 100% of his code is written by Claude. He ships 10 to 30 pull requests a day and has not edited a single line by hand in months. Claude writes it. Claude reviews it. Humans are still in the loop, but they are no longer the ones typing.

📁 Boris Cherny, engineer at Anthropic, says 100% of his code is written by Claude. He ships 10 to 30 pull requests a day and has not edited a single line by hand in months. Claude writes it. Claude reviews it. Humans are still in the loop, but they are no longer the ones typing.

Jon Hernandez

22,274 Aufrufe • vor 4 Monaten

Codex is having a moment....and feels a bit like Claude at the beginning of the year. Builders are noticing first, Wall St/consensus will take a bit to catch up Matan Grinberg from Factory says he switched from Claude Code to Codex ~2 months ago and that OpenAI’s coding models are “really really good right now”

Codex is having a moment....and feels a bit like Claude at the beginning of the year. Builders are noticing first, Wall St/consensus will take a bit to catch up Matan Grinberg from Factory says he switched from Claude Code to Codex ~2 months ago and that OpenAI’s coding models are “really really good right now”

Deirdre Bosa

21,927 Aufrufe • vor 1 Monat

Dario Amodei says AI products start to saturate when the models become too capable Chatbots will remain useful, but the real gains from smarter models are now showing up more clearly in coding tools and agentic systems "in this industry, there's no such thing as a stable product"

Dario Amodei says AI products start to saturate when the models become too capable Chatbots will remain useful, but the real gains from smarter models are now showing up more clearly in coding tools and agentic systems "in this industry, there's no such thing as a stable product"

Haider.

33,497 Aufrufe • vor 2 Monaten

Roman Yampolskiy says AGI is no longer a question of when, but how much it costs Scaling laws are predictable: the cost has dropped from $1 trillion to $100 billion, and will soon reach $1 billion AI already writes 100% of the code for next-gen models, so recursive self-improvement has already begun

Roman Yampolskiy says AGI is no longer a question of when, but how much it costs Scaling laws are predictable: the cost has dropped from $1 trillion to $100 billion, and will soon reach $1 billion AI already writes 100% of the code for next-gen models, so recursive self-improvement has already begun

Haider.

18,844 Aufrufe • vor 3 Monaten

Dario Amodei just announced the end of software engineering as a profession. The timeline is 6 to 12 months. Amodei: “I have engineers within Anthropic who say, I don’t write any code anymore. I just let the model write the code. I edit it.” Not a prediction. Current reality inside the frontier lab. The engineers who built the most advanced AI in the world have stopped writing code. They supervise. They edit. They manage architecture. The craft they spent careers mastering has been handed to the system they built. Amodei says models will do most, maybe all, of what software engineers do end-to-end within six to twelve months. Not assisting. Not autocompleting. Handling the entire development process independently. If you are learning syntax today, you are learning a dead language. Amodei: “Then it’s a question of how fast does that loop close?” The loop is this. AI writes code. Code builds better AI. Better AI writes better code. Faster. Without sleep. Without the cognitive limits that cap how quickly any human engineer can work. Once that loop closes, technological progress stops being constrained by human output. It becomes self-sustaining. Exponential. Operating at a pace no human workforce can match or direct. Software engineering isn’t ending. It’s becoming supervision. The developers who survive won’t be the best coders. They’ll be the best supervisors. The ones who can direct AI output, catch its failures, and architect what it builds toward. The skill that matters stops being implementation. It becomes judgment. Most developers are still optimizing for a skillset about to become as obsolete as stenography. While the people who built the systems replacing them already stopped doing the work themselves. The window to develop that judgment before the loop closes is exactly as long as Amodei’s timeline. Six to twelve months.

Dario Amodei just announced the end of software engineering as a profession. The timeline is 6 to 12 months. Amodei: “I have engineers within Anthropic who say, I don’t write any code anymore. I just let the model write the code. I edit it.” Not a prediction. Current reality inside the frontier lab. The engineers who built the most advanced AI in the world have stopped writing code. They supervise. They edit. They manage architecture. The craft they spent careers mastering has been handed to the system they built. Amodei says models will do most, maybe all, of what software engineers do end-to-end within six to twelve months. Not assisting. Not autocompleting. Handling the entire development process independently. If you are learning syntax today, you are learning a dead language. Amodei: “Then it’s a question of how fast does that loop close?” The loop is this. AI writes code. Code builds better AI. Better AI writes better code. Faster. Without sleep. Without the cognitive limits that cap how quickly any human engineer can work. Once that loop closes, technological progress stops being constrained by human output. It becomes self-sustaining. Exponential. Operating at a pace no human workforce can match or direct. Software engineering isn’t ending. It’s becoming supervision. The developers who survive won’t be the best coders. They’ll be the best supervisors. The ones who can direct AI output, catch its failures, and architect what it builds toward. The skill that matters stops being implementation. It becomes judgment. Most developers are still optimizing for a skillset about to become as obsolete as stenography. While the people who built the systems replacing them already stopped doing the work themselves. The window to develop that judgment before the loop closes is exactly as long as Amodei’s timeline. Six to twelve months.

Dustin

44,304 Aufrufe • vor 4 Monaten

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dustin

318,457 Aufrufe • vor 4 Monaten

In-world AI generated scene from scratch! No external tools were used (blender, vscode etc). I simply typed things like `/create scarecrow` or `/edit make bees fly around it` and the AI handled it. The whole session was around 12 minutes, most creations and edits took <10s and while they were happening I just went and duplicated and placed things around. The AI models will get better. Right now there's some confusion where AI gets angles inverted etc, but this all seems fixable. Currently using anthropic API for speed, but I found GPT-5 makes better models but it takes much longer to generate.

In-world AI generated scene from scratch! No external tools were used (blender, vscode etc). I simply typed things like `/create scarecrow` or `/edit make bees fly around it` and the AI handled it. The whole session was around 12 minutes, most creations and edits took <10s and while they were happening I just went and duplicated and placed things around. The AI models will get better. Right now there's some confusion where AI gets angles inverted etc, but this all seems fixable. Currently using anthropic API for speed, but I found GPT-5 makes better models but it takes much longer to generate.

Ash

16,561 Aufrufe • vor 11 Monaten

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.

Mnimiy

113,513 Aufrufe • vor 1 Monat

In March 2025, Dario Amodei said that “In 12 months, AI [may be] writing essentially all of the code.” 9 months later, Anthropic released Claude Codework (the team gave plans and design, but Claude generated all the code in 10 days). From here, Amodei says the programmer’s role is to set specifications for the AI: ▫️What are the conditions of what you’re doing? ▫️What is the overall app you’re trying to make? ▫️What’s the overall design decision? How do we collaborate with other code that’s been written? ▫️How do we have some common sense on whether [this] is a secure design or an insecure design? But he ultimately believes Claude will automate all of that too.

In March 2025, Dario Amodei said that “In 12 months, AI [may be] writing essentially all of the code.” 9 months later, Anthropic released Claude Codework (the team gave plans and design, but Claude generated all the code in 10 days). From here, Amodei says the programmer’s role is to set specifications for the AI: ▫️What are the conditions of what you’re doing? ▫️What is the overall app you’re trying to make? ▫️What’s the overall design decision? How do we collaborate with other code that’s been written? ▫️How do we have some common sense on whether [this] is a secure design or an insecure design? But he ultimately believes Claude will automate all of that too.

Bearly AI

153,981 Aufrufe • vor 6 Monaten

Dario Amodei just announced the death date of your profession. At Davos, Anthropic’s CEO said coding as a human skill has 6 to 12 months left. Not as hyperbole. As timeline. Amodei: “We might be 6 to 12 months away.” Not prediction. Observation. His engineers already quit writing code. Amodei: “I have engineers within Anthropic who say: ‘I don’t write any code anymore.’” They don’t touch syntax. They don’t debug loops. Models generate flawless code. Humans curate, validate, direct. The job isn’t building anymore. It’s conducting. The transformation happened silently. While bootcamps taught React, the actual profession mutated into something unrecognizable. Still typing functions manually? You’re not being diligent. You’re already obsolete and haven’t realized it. Amodei: “We would make models that were good at coding and use that to produce the next generation of model.” The loop closes. AI writes the code that births superior AI. Recursion without human dependency. Once sealed, progress stops being gated by people. Only by semiconductors. One year. Requirements to production, fully autonomous. Humans set strategy. Machines execute perfectly, instantly, infinitely. Syntax is dead. Only intent remains. You don’t build software now. You conceive it with precision, and intelligence manifests it before you finish the thought. The skill isn’t coding anymore. It’s knowing what to demand in the three seconds before the system delivers something you could never have built yourself. Your profession didn’t evolve. It evaporated. And the people still learning to code are training for jobs that won’t exist when they graduate.

Dario Amodei just announced the death date of your profession. At Davos, Anthropic’s CEO said coding as a human skill has 6 to 12 months left. Not as hyperbole. As timeline. Amodei: “We might be 6 to 12 months away.” Not prediction. Observation. His engineers already quit writing code. Amodei: “I have engineers within Anthropic who say: ‘I don’t write any code anymore.’” They don’t touch syntax. They don’t debug loops. Models generate flawless code. Humans curate, validate, direct. The job isn’t building anymore. It’s conducting. The transformation happened silently. While bootcamps taught React, the actual profession mutated into something unrecognizable. Still typing functions manually? You’re not being diligent. You’re already obsolete and haven’t realized it. Amodei: “We would make models that were good at coding and use that to produce the next generation of model.” The loop closes. AI writes the code that births superior AI. Recursion without human dependency. Once sealed, progress stops being gated by people. Only by semiconductors. One year. Requirements to production, fully autonomous. Humans set strategy. Machines execute perfectly, instantly, infinitely. Syntax is dead. Only intent remains. You don’t build software now. You conceive it with precision, and intelligence manifests it before you finish the thought. The skill isn’t coding anymore. It’s knowing what to demand in the three seconds before the system delivers something you could never have built yourself. Your profession didn’t evolve. It evaporated. And the people still learning to code are training for jobs that won’t exist when they graduate.

Dustin

279,244 Aufrufe • vor 5 Monaten

Read the actual Anthropic piece. It's wilder than the hype precisely because it's so measured. As of last month, Claude writes more than 80% of the code Anthropic merges into its own codebase. Their engineers now ship roughly 8x the code per day they did in 2024. On a fixed test they run every release (take some training code, make it run faster), the model went from ~3x a year ago to ~52x. A skilled human gets about 4x in a few hours. And when a researcher hits a wrong turn mid-investigation, the newest model now picks the better next step 64% of the time. The honest part the hype skips is that Anthropic says we are NOT at self-improvement yet. Claude still can't decide which problems are worth solving. That research taste is the last thing keeping a human in the loop. But they openly map the moment it closes, when agents can build and train models themselves and Claude starts improving Claude. And the loudest signal in the whole thing sits at the end: the company building this is the one asking for a working pause button before the loop closes.

Read the actual Anthropic piece. It's wilder than the hype precisely because it's so measured. As of last month, Claude writes more than 80% of the code Anthropic merges into its own codebase. Their engineers now ship roughly 8x the code per day they did in 2024. On a fixed test they run every release (take some training code, make it run faster), the model went from ~3x a year ago to ~52x. A skilled human gets about 4x in a few hours. And when a researcher hits a wrong turn mid-investigation, the newest model now picks the better next step 64% of the time. The honest part the hype skips is that Anthropic says we are NOT at self-improvement yet. Claude still can't decide which problems are worth solving. That research taste is the last thing keeping a human in the loop. But they openly map the moment it closes, when agents can build and train models themselves and Claude starts improving Claude. And the loudest signal in the whole thing sits at the end: the company building this is the one asking for a working pause button before the loop closes.

Alex Veremeyenko

33,666 Aufrufe • vor 1 Monat

Geoffrey Hinton says mathematics is a closed system, so AIs can play it like a game. They can pose problems to themselves, test proofs, and learn from what works, without relying on human examples. “I think AI will get much better at mathematics than people, maybe in the next 10 years or so.”

Geoffrey Hinton says mathematics is a closed system, so AIs can play it like a game. They can pose problems to themselves, test proofs, and learn from what works, without relying on human examples. “I think AI will get much better at mathematics than people, maybe in the next 10 years or so.”

vitrupo

814,851 Aufrufe • vor 6 Monaten

Claude Code cracked something open for us Every 📧. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Claude Code cracked something open for us Every 📧. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Dan Shipper 📧

57,568 Aufrufe • vor 8 Monaten

Bloomberg's Mark Gurman says that even though Apple partnered with Google Gemini for Siri, they actually run their business on Anthropic. "Apple runs on Anthropic at this point. Anthropic is powering a lot of the stuff Apple's doing internally in terms of product development and a lot of their internal tools." "They have custom versions of Claude running on their own servers internally, too. This Google deal just came together a few months ago. They were not going to use Google. Apple actually was going to rebuild Siri around Claude. But Anthropic was holding them over a barrel. They wanted a ton of money from them, several billion dollars a year, and at a price that doubled on an annual basis for the next three years."

Bloomberg's Mark Gurman says that even though Apple partnered with Google Gemini for Siri, they actually run their business on Anthropic. "Apple runs on Anthropic at this point. Anthropic is powering a lot of the stuff Apple's doing internally in terms of product development and a lot of their internal tools." "They have custom versions of Claude running on their own servers internally, too. This Google deal just came together a few months ago. They were not going to use Google. Apple actually was going to rebuild Siri around Claude. But Anthropic was holding them over a barrel. They wanted a ton of money from them, several billion dollars a year, and at a price that doubled on an annual basis for the next three years."

TBPN

944,705 Aufrufe • vor 5 Monaten