🍟 putting bytes in the bag eng @finchlegal
Joined February 2026
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Moyez Mansoor retweeted
My feeling is that coding agents need rich environments... we're moving from gVisor to VMs at Modal for that reason, and gVisor is like 95% feature parity with Linux already
Moyez Mansoor retweeted
We all thought OpenAI's chip was fun this week. The architecture is good, but what if the math needs to change?
@TensordyneInc just put out a whitepaper stating that it can do more in 30kW than others can do in 100kW, in a quarter of the physical space
tensordyne.ai/tensordyne-nap…
Moyez Mansoor retweeted
In many ways, finetuning or RLing a custom model is a bet against model progress and scaling. It's to choose to say "we don't think there's going to be a good enough base model for this task anytime soon, so we're not going to wait"
with oss release velocity these days, its a hard tradeoff
It's easy to end up on a custom model with an outdated base (Kimi 2.6 is only a few months old)
So we fixed it - PorTAL lets you swap base models quickly, allowing your learned task specific behaviors to port to new models as they come, no matter how fast
Moyez Mansoor retweeted
Nvidia is proposing a beast of a CPU system for Windows PCs.
It has 128 GB of shared memory and comes with up to 6,144 state-of-the-art CUDA cores.
CPU wise, the chip has 10 performance cores and 10 efficiency cores. The performance cores are based on the Cortex-X925. These chips appear to support six 128-bit SIMD execution units (SVE2), not as good as recent AMD chips, but better than Apple Silicon (on paper).
The game changer is the unified 128 GB memory. That is the path Apple took years ago. Instead of separate memory for the CPU and GPU, everything shares a single pool. It is increasingly popular.
The memory is not as fast as dedicated GPU memory, but it is cheap enough while delivering enough bandwidth to run AI models locally.
I am not sure how many people will run AI models locally. It still seems like a niche application to me. However, it will make decent machines to play video games.
It will be interesting to see how Intel and AMD respond. I think that the AVX-512 instructions supported by all recent AMD processors are far superior to the SVE2 instructions of the Cortex-X925. They can eat more data and they are more versatile. But Intel has been shy, thus far, in making it available on customer systems.
"The model 'gpt-image-2' does not exist." why is codex throwing this error. @OpenAI. Just trying to code
