Luwayne

Engineering is not about the code you write but about the problem you solve.

The Cosmic Jewel Box Each tiny dot here represents an entire galaxy, each one teeming with endless worlds. (Video by Universal-Sci - Credit: RubinObs/NOIRLab/SLAC/NSF/DOE/AURA)

“Why do you need the government to stop AI progress inside your private company when you are the CEO of the company already?”

BREAKING: China rejects calls from U.S. tech leaders to slow AI development, blasting the warnings as “fearmongering.”

One of the most worrying risks linked to frontier AI is extreme power concentration. The only way to avoid extreme power concentration is to ensure we have multiple independent providers of frontier AI models, including open-source options.

Every 10 years the US regulators come up with some doomsday story. The climate, or something else that will kill us all. This time it’s AI. It ends up becoming regulatory capture and NGO trash. China isn’t stopping and will absolutely mog us like they already do in robots.

everyone spent ten years learning to code and it turns out the terminal skill was english composition. the machine will do anything you tell it. the only thing left between you and what you want is whether you can form a clear thought and put it into words

We’re still up.

GLM-5.3 at 310 tok/s! Databricks inference is #1 in both speed and latency, again. On our internal Databricks coding benchmark, GLM-5.3 is the strongest OSS model for coding, competitive with Fable 5 and Opus 4.8.

AI will be able to do anything digital (that doesn’t require shaping atoms) at a superhuman level by the end of next year

More data than open-source AI is taking share from OpenAI and Anthropic. Open source has gone from 28% token share to 62% token share @vercel over the last 2 months. Chart from @rauchg Super impressive given that the sum of OpenAI and Anthropic accelerated in July. So net token/AI infra demand accelerated even more than the acceleration we saw at the frontier. And suspect Grok growing even faster than open-source and we saw some of this in the @tryramp data. Open-source AI taking share is positive for AI infrastructure demand as it lowers margins at the model layer and an open-source token costs just as much compute to produce as a frontier token. Nothing about open-source AI inference is “free.” Most likely end state IMO is that closed, frontier tokens are 60-90% of economic value but only 15 to 25% of tokens.

We've just surpassed 3 million models on the Hub 🤗 the community is accelerating towards an open, distributed future where open AI is everywhere, for everyone 🚀

How would you reinvent the education system from the ground up?