NY assemblymember details frontier AI training-run ban enforcement; critics call it anti-human
basedjensen · x · 2026-11-07
New York assemblymember Alex Bores laid out how a frontier AI training-run ban could work: require human sign-off on training runs, then ban usage of any model beyond a capability threshold without such sign-off — enforced via strict liability for harms, sanctions/cutting off USD access, or criminal penalties, in increasing severity. He argues competition drives the US–China race but "no one benefits from runaway RSI before we know it's safe." basedjensen quote-posted it bluntly: "This will not work and is anti human," capturing tech-community pushback against such legislation.
More from AGI Musings
- AI Exposes the Economy's Inefficiency: The Real Threat Is Getting Paid for Mediocrity — TinfoilTricorn · 2026-11-07
- basedjensen: recursive self-improvement is already here and bans are unenforceable — basedjensen · 2026-11-07
- Musing: Much of ML's progress may just be rediscovering good discipline — yunta_tsai · 2026-11-07
- Geoffrey Hinton's 47-minute AI masterclass promises to reshape how you think about AI — HeyAmit_ · 2026-11-07
- AI video characters may feel conscious sooner than LLMs, argues viral post — flowersslop · 2026-11-07
- WIRED archive analysis: 60.5% of AI stories use harm framing vs 18.6% in early internet era — emollick · 2026-11-07