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The article examines Martin Alderson’s “AI margin collapse” thesis and the debate it sparked on Hacker News. The core claim is that open-weights models like GLM 5.2 could pressure frontier AI labs’ pr

The piece argues that Ollama became popular by making local LLMs easy to run, but that its real value has been overstated and its relationship to upstream open-source work has been poorly handled. It

The piece argues that Ollama became popular by making local LLMs easy to run, but that its real value has been overstated and its relationship to upstream open-source work has been poorly handled. It

Iroh has announced version 1.0, its first stable release, built around a core idea: devices should be addressed by dial keys, not IP addresses. The company argues that IPs are unreliable because they

A major Instagram security flaw in Meta’s AI-powered account recovery assistant allowed hackers to bypass two-factor authentication and hijack high-value accounts within minutes. The issue was not a d

The article argues that while tech executives portray AI as a major productivity breakthrough, many software developers experience it as a burden that can reduce their effectiveness. Leaders at compan

The discussion centers on GrapheneOS’s responses to a WIRED fact-checker about the breakup between project founder Daniel Micay and businessman James Donaldson, originally tied to CopperheadOS. The co

The article discusses a critical bug in Claude, an AI language model, where it misattributes messages to users that it actually generates itself. This issue is distinct from common problems such as ha

Open source maintainers are overwhelmed by low-quality, AI-generated contribution requests that clutter their repositories, detracting from genuine engagement. This situation echoes historical guild s

Anthropic recently showcased an ambitious project where 16 instances of its Claude Opus 4.6 AI model collaboratively developed a C compiler. Over two weeks, these AI agents executed nearly 2,000 codin

In "What 'The Best' Looks Like," Alex Kurilin reflects on the challenges of hiring in startups, emphasizing that while the conventional wisdom suggests hiring the "best of the best," this approach may