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Miles Brundage echoes Nathan Lambert's point about the need for independent voices in AI discussions, particularly regarding regulatory capture and attacks on open-source, highlighting the value of not being tied to major AI companies.
Proposes treating semantic compression as a diffusion noise function for handling massive context beyond model windows, using multi-pass reading at decreasing compression levels. Untrained-model experiments show components work in isolation but the full chain needs training to resolve binding bottleneck.
A detailed description of building a low-cost (<€5,000) robotics research setup including an industrial-grade arm, cameras, and teleoperation software, designed to fit next to a desk. The author argues that recent advances in affordable hardware and foundation models now allow individuals to conduct meaningful robotics research independently.
An independent researcher introduces Epistemic Lattice Tethering (ELT), an inference-time scaffolding framework that extends coherent LLM threads to 325k–1M tokens by applying epistemic and ontological governance.
An independent researcher's study finds that a single LLM misses about half of code-review defects, while using multiple models from different providers significantly improves coverage, with the biggest gain from adding a second model. The paper seeks feedback and arXiv endorsement.
OpenAI is contributing $7.5 million to The Alignment Project, a global independent alignment research fund created by the UK AI Security Institute, helping make it one of the largest dedicated funding efforts for independent alignment research to date. The total fund exceeds £27 million and will support a broad portfolio of alignment research projects worldwide.