What Can Current LLMs Solve? DeepMind Research Maps Capability Boundaries
burny_tech · x · 2026-07-28
User @richalq highlighted important work by DeepMind, making a crucial distinction between problems solvable by current SOTA LLMs before AGI, and those actually requiring human conceptual priors.
The discussion notes that while current LLMs are good at combinatorial and exploratory creativity, paradigm-shift problems still fall under transformative creativity, an area where human intervention is currently needed.
Related event: DeepMind Paper: LLMs Lack the 'Intuitive Leap' for Scientific Discovery(7 posts)→
More from AGI Musings
- AI math era taught an order of magnitude more people what frontier math looks like — tszzl · 2026-09-23
- Beyond technical alignment: repligate clashes over whether AI can produce rich qualia — repligate · 2026-09-23
- Mathematicians, not just LLMs, made AI's math breakthroughs possible, scholars argue — tak3sh8 · 2026-09-23
- Why would an uncontrollable superintelligence do anything for us? Reddit debate — conn_r2112 · 2026-09-23
- X user calls for full-speed AI-driven science: braking research is 'an absurd waste' — Dr_Singularity · 2026-09-23
- Is Using LLM Output Plagiarism? A Debate Over Redefining Writing Ethics — soumitrashukla9 · 2026-09-23