Satya retweeted
With AI, a single person with high clarity can outdo a team that lacks it. Before, there was still a chance to catch up; now, there is none.
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Satya retweeted
A lot of people have asked how I got a job at a leading Bay Area AI lab. The short answer is pure luck. The long answer is that I showed up every day. I wrote blogs, launched multiple projects, tweeted like there was no tomorrow, and built in public. Increased the surface area of my luck 100x
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C and C++
We have dumped JAX/SGLang and rewritten the entire RL and inference stack from scratch in C/C++, which took some extra time.
Training (aka pre-training) is done. Lot of cleanup was needed on the SFT data to get that mostly right. Now, 4.8 is in RL and the evals are starting to climb. We will do a soft rollout to Bot users later this week and see how it goes.
Grok 4.8 will bear no resemblance to 4.7 (thankfully). It is not yet incredible, but, this time, the foundations are built right, so I expect it to evolve to be something special.
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Petition for bringing Fable 5.2 in the Pro plan ⛳️👇
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
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🙌🚀
In 2015, I built an AI that detects early cancer.
It’s still running across hundreds of hospitals in the US today.
It was the most fulfilling work of my life, and I was building in AI years before everyone called it “AI”.
Building in AI then was a dream.
Now It feels like the worse.
It started when i was in undergrad.
I built my first company: AI models that made the political data transparent to voters.
At 21, I was offered six figures for it, but the buyers wanted to use it for reasons I couldn't ethically support.
So we turned down the offer and shut down the company instead.
In 2014, I moved into deep learning research on language models, for the Intelligence Community and Goldman Sachs.
Then HCA Healthcare came to us.
They put me in a competition against 10 people from IBM Watson. It was just me and the tools I’d built.
Our job was to build an AI model that can catch the cancer that slips through the cracks in hospitals.
It was the most intense 30 days of my life. Multiple all nighters.
My models won. That turned into a $5M deal, and later its own company, Azra AI.
Then the world caught on.
ChatGPT and Claude arrived, and AI costs exploded.
Building in AI in 2015 felt novel.
We were using it to find cancer tumours and save lives.
Now the biggest tech companies have turned AI into a money extraction machine.
That’s when I decided to make a change.
We raised $8.5M to build a better future for AI.
On Wednesday, we’re launching Rayline.
AI shouldn’t be locked inside a few labs’ models, prices and clouds. It should be open, transparent and decentralized.
More on Wednesday.
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Explored github.com/kubeflow/pipel… repo and found they are working on a similar project as n8ndag.xyz of mine. Looking forward to learning, contributing and growing in the process. They also participate in LFX, if you want to contribute in Go, you can check them out!
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