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Anthropic CPO, Mike Krieger: Dario Amodei predicted the coding benchmark (SWE-bench) would reach 90% by the end of the year I’ve started taking AI timelines more seriously after seeing the progress. "mid-2025 now feels much closer than 2027"

Haider.

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46,067 次观看 • 1 年前 •via X (Twitter)

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9 条评论

John Bridges 的头像

John Bridges1 年前

It will only reach that for people that don’t write threatening software. Currently my Claude code might as well be my grandmother it’s soooo bad. @anthropic write into the var directory their caches on Mac and Linux - horrible practice

SecBriefs | Making Cybersecurity Simple 的头像

SecBriefs | Making Cybersecurity Simple1 年前

🤖 What to Expect in Cybersecurity in 2025: From AI-driven threats to Zero Trust adoption, the landscape is evolving fast. Are you ready? Stay prepared with CYBERSECURITY DICTIONARY For Everyone, on Amazon: 🛒

BowtiedWhitebat + Read Pinned Tweet or NGMI 的头像

BowtiedWhitebat + Read Pinned Tweet or NGMI1 年前

bigger the watermark ser

Frieren 的头像

Frieren1 年前

interesting

Freedom_Aint_Free 的头像

Freedom_Aint_Free1 年前

My hunch is, even after the frontier models totally saturate those tests (solid 100% across the board) they will still suck in many important fields. The should be research level problems, if they can crack decades old unsolved science problems then they would be in another level

Luxe Clouds 的头像

Luxe Clouds1 年前

50t tokens of premium data 50t tokens of deduplicated premium synthetic data will push beyond this then interactive fine tuning & optimizations its already possible to hit that mark & go further

Jeremy Mcnabb 的头像

Jeremy Mcnabb1 年前

We have a *tendency* to *notice* when we have actively been involved. Knowledge,plans slipping out of our control seems *exciting* *Smiling fun* (AI roller coaster wasn’t designed funny… designed to fix the rides… and in doing so… change, riders management owners all of it

Omar وديع 的头像

Omar وديع1 年前

AI progress is faster than lightning! By achieving the 90% benchmark sooner, it’s igniting thrilling possibilities for fintech’s future. Can’t wait to see its impact!

Tom Nicholson 的头像

Tom Nicholson1 年前

Why do American corporates always look like AI avatars?

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Anthropic CPO Mike Krieger says that Claude is now effectively writing itself Engineers regularly ship 2–3,000-line pull requests generated entirely by Claude Dario predicted a year ago that 90% of code would be written by AI, and people thought it was crazy "today it's effectively 100%"

Anthropic CPO Mike Krieger says that Claude is now effectively writing itself Engineers regularly ship 2–3,000-line pull requests generated entirely by Claude Dario predicted a year ago that 90% of code would be written by AI, and people thought it was crazy "today it's effectively 100%"

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369,830 次观看 • 1 年前

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Anthropic's CEO just leaked the most INSANE revenue numbers in AI history. And what he said about the next 12 months will change how you think about every business decision you're making right now. Dario Amodei told Dwarkesh Patel on the interview that Anthropic went from: - 2023: $0 to $100M - 2024: $100M to $1B - 2025: $1B to $9-10B That's 10x revenue growth. Every. Single. Year. "In January alone, we added another few billion to revenue." One month. A few billion dollars. Think about what that means. Most companies would kill for $1B in annual revenue. Anthropic added multiple billions in 30 days. But Dario said something even more interesting: "We are near the end of the exponential." Not the end of AI progress. The end of people understanding how close we actually are. His exact words: "It is absolutely wild that you have people talking about the same tired political issues, when we are near the end of the exponential." What does "end of the exponential" mean? In 1-3 years, we get what he calls a "country of geniuses in a data center." AI systems that can: - Do end-to-end software engineering - Navigate any computer interface - Learn new skills like humans do - Replace entire categories of knowledge work And here's the contradiction: If Anthropic really believed this was 1-3 years away, why aren't they buying $1 trillion in compute? Dario's answer exposes the real game: "If you're off by only a year in your prediction, you go bankrupt." So even the CEO who's most bullish on AI timelines is hedging. He's buying hundreds of billions in compute. Not trillions. Because the gap between "AI can do the job" and "companies actually pay for it" is massive. He calls it "economic diffusion." I call it the gap that's going to make some people very rich and destroy everyone who ignores it. The models are already better than people think. Claude Code writes 90% of code at Anthropic right now. But Dario says there's a huge difference between: - 90% of code written by AI - 100% of code written by AI - 90% of end-to-end SWE tasks done by AI - 100% of end-to-end SWE tasks done by AI We're moving through that spectrum "very quickly." His prediction: FULL end-to-end software engineering in 1-2 years. But here's what's scary: The technology is advancing faster than anyone outside the AI labs understands. And the revenue is following faster than any technology in history. But it's still not instant. Dario expects 10-20% annual GDP growth. Not 300%. Which means we're in this weird middle zone: Fast enough to destroy unprepared businesses. Slow enough that most people are ignoring it. Dario's big takeaway: If you're running a business right now, you have maybe 12-18 months to figure out how AI changes your model. Not to "add AI features." To fundamentally rethink what you're selling and who can do the work. Because the companies that get this right will 10x. And the ones that don't will be explaining to investors why revenue is flat while everyone else is printing money. The exponential is ending. But most people literally still don't even know it started.

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Anthropic CEO Dario Amodei: "it is absolutely wild that people are talking about the same tired political issues, when we are near the end of the AI exponential" here are three things that should stop you cold: one: at Anthropic, models already do "100% of today's coding tasks" two: a country of geniuses in a datacenter, 90% likely within 10 years three: he won't even buy more compute, because AGI is already this close meanwhile the world is busy with memes, elections, celebrity beef the most important shift of your lifetime is happening quietly, and the gap is already opening the ones who start building with these tools now end up on the other side of it that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

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