THE ACCELERATION AND THE WALLS : On the METR Report, the Self-Improving Loop, and Why Every Paper in the Corpus Remains True
A post is circulating. It says a new study finds Anthropic's AI models are improving almosttwice as fast now, because the AI is helping build its own successors. https://www.threads.com/share/_pdiEVdvt It says the catch is that the models still cannot do the most important training stepscompletely on their own yet, so humans are still needed — for now. A lay reader finishes the post and concludes: the walls are falling. The acceleration is real,the loop is closing, the thing is about to take off. The word "yet" does the work — humansare needed for now, which implies soon they will not be. That reading is an illusion. Not because the acceleration is fake. Because the accelerationdoes not touch a single one of the walls.
Authors
- M. TAALABI
- Team LLM-DIPLOMAT
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24087874
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00