AI
Replit fine-tunes Qwen-8b chess model via parallel "vibe research" branches
Replit CEO Amjad Masad is fine-tuning a Qwen-8b model to play chess, running three parallel experiment branches simultaneously on Replit and calling the approach "vibe research." Masad noted that AI models have dramatically improved at doing machine learning work itself, meaning someone with good intuition can now run real ML experiments without deep ML engineering expertise. He followed up by sharing footage of Replit's computer-use model playing against the resulting chess engine.
Software job postings rise despite AI displacement fears, echoing Jevons Paradox
Box CEO Aaron Levie flagged that software job postings are outpacing other fields — the opposite of what AI displacement forecasts predicted — arguing that lowering the cost of software production simply creates demand for more software to be produced, a classic Jevons Paradox dynamic. Developer advocate swyx extended the point, warning that observers who learned about Jevons Paradox only in the context of software demand may be underestimating its full force now that coding agents are becoming broadly accessible and breaking out of specialist containment.
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