Thorsten Meyer AI says a 474-site publishing network sent 80% of posts to 38 sites while 249 sites got none.
When a Content Network Starts Publishing to Itself
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AI & Work
467 posts
Opus 4.8 Lands, and the Quiet Headline Is Honesty
Anthropic released Claude Opus 4.8 with benchmark gains, product updates and a claim that it flags its own coding flaws more often.
What Happens When Performance Reviews Start Measuring AI Leverage
Performance reviews measuring AI leverage shift your skills towards mastery of new tech, promising impactful growth—discover how this change could reshape your future.
DeepSWE – The benchmark that made the models spread out again
Datacurve’s DeepSWE benchmark shows wider gaps between coding models and raises questions about older SWE-Bench Pro results.
The 4.8 Staircase: What the Market Actually Believes About Claude’s Next Release
A Claude 4.8 release rumor is spreading, but the cited 70% market odds appear tied to June 15, not May 31.
I think Anthropic and OpenAI have found product-market fit
Recent pricing moves and enterprise investments suggest Anthropic and OpenAI have found strong product-market fit with their coding and general-purpose AI agents, signaling a shift toward revenue generation.
One Video In, a Whole Publishing Kit Out — Without the Cloud
A local-first workflow turns one video into titles, clips, posts and transcripts without cloud uploads, but claims need testing.
Gemini, Gophers, and Fingers. Oh My Alternative Internets Beyond HTTPS
Exploring the resurgence of niche protocols like Gopher, Finger, and Gemini that operate outside HTTPS, their communities, and implications for decentralization.
Uber burned through its entire 2026 AI budget in four months. Now its COO is questioning whether it’s worth it
Uber spent its entire 2026 AI budget in just four months, raising questions about the company’s AI spending and strategic focus, according to COO Andrew Macdonald.
Tech CEOs are apparently suffering from AI psychosis
Tech industry leaders are reportedly experiencing ‘AI psychosis,’ leading to widespread layoffs and misguided AI optimism, raising concerns about organizational chaos.
