Tech & AI Daily
Rockstar workers organizing right before what's likely the biggest game launch in history gives them serious leverage. This is a landmark moment for game industry labor and the timing is not accidental.
KOG.ai is claiming 3k tokens per second per request on non-exotic hardware, which is the kind of throughput that makes local and on-prem inference genuinely viable for production agent workloads. Worth benchmarking against your own stack.
The argument is that AI-generated code is producing the same kind of bloated, structurally weak mess that jQuery and framework churn did in the 2010s. Uncomfortable read, but the pattern-matching is hard to dismiss.
Field notes from Mistral's Paris summit give a rare candid look at where the European AI lab is heading. Worth reading to track who is actually competing with OpenAI and Anthropic outside the US.
Robinhood opening an agent API for autonomous stock trading is either the future of finance or a fantastic way to lose money at machine speed. Directly relevant if you are building agents that need real-world financial actions.
The case that SQLite's durability primitives are sufficient for most workflow orchestration needs, no Temporal or Kafka required. Practical and well-argued, and directly relevant if you are building lightweight durable agents.
Vicki Boykis makes the case that if your AI is working harder than you are, something has gone wrong. A good gut-check for anyone leaning too hard on LLMs as a cognitive crutch.
New research shows CAPTCHAs remain a meaningful barrier for autonomous agents, which matters both for security research and for anyone building web-browsing or form-filling agents. The gap is smaller than you'd hope.
Liquid's new mixture-of-experts model is compact but trained on a massive dataset. MoE at this scale is quickly becoming the efficiency meta for open-weight models worth running locally.
A developer discovers their OSS library was quietly forked and weaponized for phishing. A sobering reminder that open source maintenance now includes supply chain threat monitoring.
A clear walkthrough of using local filesystem paths as Git remotes, useful for air-gapped setups, NAS repos, or quick local backups without touching GitHub. Underused and underrated.
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