OpenAI's Altman defends selective open-weight releases while LocalLLaMA users question inflated open-weight rankings; collaborative open training projects test new forms of access to models.
A Reddit thread challenges the convictions of the self-hosted community: inflated open-weight rankings, skepticism toward Haiku 5.5, the misunderstood Strata project, and the uselessness of the ThreeJS benchmark. For those evaluating on-premise deplo...
CrowdGPT aims to train a one-billion-parameter LLM collaboratively, using participants' PCs instead of datacenters and publishing 100% of data and weights. The developer asks for feedback on incentives, from GPU time to inference credits. For now it ...
Sam Altman says open-weight models have real social value, but OpenAI's most advanced internal model cannot be opened responsibly until cyberdefense and biosecurity are stronger. He also admitted underestimating alignment and called for a serious con...
