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Separating signal from noise in coding evaluations
A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 257 posts.
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5x faster Edge Functions: V8 isolates to Firecracker MicroVMs
See how Netlify rebuilt Edge Functions on MicroVMs to deliver lower latency, greater reliability, and faster log delivery.
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Qwen-Robot Suite: A Foundation Model Suite for Physical World Intelligence
Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
244
Bad Connection: Global telecom exploitation by covert surveillance actors
Our investigation uncovers two sophisticated telecom surveillance campaigns and, for the first time, links real-world attack traffic to mobile operator signalling infrastructure. The findings expose how suspected commercial surveillance vendors (CSVs) exploit the global telecom interconnect ecosystem, leverage private…
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We gave an AI a 3 year retail lease and asked it to make a profit
We signed a 3 year lease and gave it to an AI
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SSH has no Host header
A dive into how we share IPs between VMs while making SSH work.
247
The Components of Agent Memory
For Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.
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ATProto spaces: A new extension to ATProto that enables non-public data
Atproto Spaces, formerly known as “the permissioned data protocol,” is a new extension to atproto that enables non-public data. The alpha is now officially open. Here’s how to develop with it and what to expect as we work towards the full release.
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Securing our frontier model training environment
OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.
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Previewing the Model Hardware Standard
Anthropic is opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.
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Factoring RSA 260
How Devin and a Cognition researcher built the world’s highest-performance GPU lattice siever, to make factoring numbers 10x cheaper than the previous…
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Expensively Quadratic: The LLM Agent Cost Curve
Cache reads are quadratic and dominate your long agentic conversations.
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The assistant axis: situating and stabilizing the character of LLMs
Who is the Assistant? We investigate the character that most modern language models inhabit when interacting with users.
254
The Document Foundation ejects its core developers
Update 2026-04-07 Update: 2026-04-11 Update: 2026-04-17 Let’s kick the developers out! In the ongoing saga of The Document Foundation (TDF), their Membership Committee has decided to eject from membership all Collabora staff and partners. That includes over thirty people who have contributed faithfully to LibreOffice…
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Responsible Release of AI-Generated Mathematics
Responsible Release of AI-Generated Mathematics September 29, 2026 Back to main page Download PDF At present, some frontier AI labs are testing advanced mathematical problems on proprietary models …
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JEP 544: Ahead-of-Time Code Compilation
Improve startup and warmup time by making optimized native code for an application instantly available when the HotSpot Java Virtual Machine starts. Achieve this by compiling application code to native code in a training run, storing the native code in the AOT cache for use in subsequent production runs. If the…