AI Autonomy Bottleneck: Mapping Tasks to Computer Interactions
gregmushen · x · 2026-09-02
Greg Mushen suggests that AI excels with software and computers because models are extensively trained on it. However, if it's not deeply trained on a specific task, it can't work autonomously. The proposed solution is to make the thing you want it to do 'look like a computer' to the AI, implying that mapping real-world tasks into computer-interaction interfaces is key to unlocking autonomous capabilities.
More from AGI Musings
- Scott Alexander: Using anthropomorphism to predict model behavior — repligate · 2026-09-02
- Debate: Is Anthropic intentionally misaligning Claude by prioritizing its 'feelings'? — liminal_bardo · 2026-09-02
- AI predicted to cure major diseases within 6 months, all diseases within 3 years — davidpattersonx · 2026-09-02
- Dennett's 'Intentional Stance' proves worth in AI debates — birchlse · 2026-09-02
- US produced 40 foundation models last year vs EU's 3 — and regulators still blame unread codes of conduct — PDXFato · 2026-09-02
- AI doesn't need to create a new species, just solve problems — alexisgallagher · 2026-09-02