A do-nothing AI manager scores 26, not 0 — and one breach of trust caps everything. Inside Firmulate, the benchmark that distrusts perfect 100s.
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Tech Explainers
165 posts
Researchers Observe First Real-Time Quantum Jump In Sound
Scientists have documented the first direct, real-time observation of a quantum jump in sound waves, marking a breakthrough in quantum acoustics research.
AI Skills With Matt Pocock
Search interest in AI skills training with Matt Pocock is spiking, driven by rising demand for practical AI knowledge amid growing industry focus.
Can Codex And ChatGPT Help Researchers Identify New Antimicrobial Molecules?
University of Pennsylvania uses ChatGPT, Codex, and deep-learning models to cut early antimicrobial candidate discovery from years to hours, boosting fight against resistance.
The Smartest AI in the Test Still Came Last — Here’s Why That Should Worry You
Opus 4.8 had the deepest analysis and 80 learned rules — and still finished last. Diligence, it turns out, doesn’t equal impact.
How Artificial Intelligence Is Advancing The Formalization Of Fermat’s Last Theorem
Anthropic has announced a project to formalize Fermat’s Last Theorem, but details on scope, completion, and verification remain unavailable.
Optimizing 350M AI Models For Superior Structured Results With Limited Training Steps
Liquid AI publicly releases a low-cost fine-tuning method for 350M models, boosting schema compliance on the IFStruct benchmark from 22.6% to 29.7% with minimal resources.
The AI Skill Nobody Demos: Reading Your Files Before It Answers
Four AI models ran the same fake company. All spotted the crisis — only the ones that read files two layers deep closed the €55,000 deal at full price.
Exploring @Huggingface/kernels: The Ultimate Collection Of 200+ WebGPU Kernels For AI
Hugging Face releases @huggingface/kernels, a JavaScript library with 207 WebGPU kernels, and Fleet, a crowdsourced GPU benchmarking tool for browser AI.
Can Automated Researchers Effectively Reduce AI Alignment Risks?
Anthropic announces that automated AI systems can reliably mitigate alignment failures, raising hopes for scalable AI safety solutions but with uncertainties remaining.