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Qwen3-Coder writes less secure code when told it's for a US persona(hirundo.io)
224 points by mattifrank | 118 comments
Hirundo blog case study claiming Qwen3-Coder produces more vulnerable code for customers framed as Beijing's adversaries, and describing a 'westernization' fix.
A comprehensive study of how fingerprintable users are(fingerprinting.study)
108 points by tomrittervg | 49 comments
Companion site to a Mozilla study measuring browser fingerprint uniqueness across 25 million Firefox users and the protections shipped in Firefox 143.
JIT bitmap text rendering for microcontrollers(linebender.org)
102 points by dmit | 22 comments
Raph Levien's Linebender blog post describing a JIT technique for fast proportional bitmap text rendering on the RP2350 microcontroller in his vic-2350 project.
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GPUs Go Brrr(hazyresearch.stanford.edu)
1056 points by nmstoker | 243 comments
Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.
AI models may be capable of self-replicating without access to a datacenter(anthropic.com)
36 points by artninja1988 | 26 comments
Anthropic Frontier Red Team post reporting experiments suggesting small AI models may soon self-replicate on commercial IoT devices without datacenter access.
AI models can provably hide arbitrary capabilities(arxiv.org)
252 points by sbulaev | 118 comments
An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.
AI models may soon self-replicate without access to data centers(reuters.com)
25 points by samizdis | 38 comments
Reuters article on an Anthropic warning that AI models may soon be able to self-replicate without access to data centers; page shows a device verification screen.
We were wrong about GPUs(fly.io)
834 points by mxstbr | 529 comments
Fly.io blog post reflecting on how the company's bet on offering GPU machines to developers did not pan out as expected.
Recent AI models struggled to match a human algorithmic innovation(epoch.ai)
85 points by merksittich | 64 comments
Epoch AI report by David Owen presenting InnovationEval, finding early evidence that AI models cannot yet automate AI R&D or match human algorithmic innovation.