203 summarised stories about Model Evaluation, each linking back to the original source. Browse all topics →
Zvi (Don't Worry About the Vase) 1 week ago 30 ● 19 sources
OpenAI released a large batch of new math results, organized on GitHub and attributed to an internal frontier model, prompting widespread discussion about what the work means. The release comprised 722 manuscripts (719 after 3 withdraws) covering 372 families. Mathematicians are now expected to review and verify the results as the field absorbs an unusually large volume of purported breakthroughs.
Product Hunt 1 week ago 20 ● 8 sources
ej was launched today as an open-source predictive AI built for decision questions with runtime-defined options. The release ships as a single 11.4 MB model file. It enables one-pass probability distributions for choice, yes/no, and ordered scores on CPU without token generation, along with training, evaluation, adaptation, and benchmark tools.
MarkTechPost 1 week ago 13 ● 3 sources
Google Research published a tutorial that implements RRSI (Regularized Recursive Self-Improvement), letting an LLM agent rewrite its own harness (prompts, tools, memory, control flow, sub-agents) while keeping a frozen underlying model, and driving the paper’s edit-selection logic directly with Python. The selection procedure uses calibrated noise bands, with the paper reporting a value of 0.020 for engineering evaluations. As a result, the guide turns the paper’s rules into runnable code, including how scores treat missing trials, and demonstrates how RRSI’s decisions can be audited against ground truth in a simulated setting rather than only by comparing top scores.
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19 October 2026
AI’s near future is getting financed, not just trained. NVIDIA’s push to pull major finance firms into the same room—through financing platforms assembled after its August outreach—signals that the bottleneck for AI scale is increasingly capital logistics. The stated target is over $500 billion to mobilize funding for companies building the physical stack behind model progress: datacenters, networking, storage, and the GPU supply chain that keeps throughput moving.
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