Tag
incorruptible-grader
- EssayThe Missing Chapter of AI Safety
A verbatim term search of the five documents that govern frontier AI—OpenAI's Model Spec, Anthropic's Constitution, DeepMind's Frontier Safety Framework, Meta's Frontier AI Framework, and the EU AI Act—returns zero hits for watershed, aquifer, groundwater, wetland, habitat, emissions, conservation of mass, and conservation of energy. Argues that this is not an oversight but an unopened category, and sketches what an environmentally grounded system would commit to: disclosure rather than refusal, hard constraints drawn only from conservation laws, grounding in live measurement rather than recollection, and an auditable log.
- EssayNature-Aligned AI
Argues that the environmental risk of artificial intelligence has been misidentified: data center electricity and water are a linear, bounded thermodynamic cost, while the unbounded risk is deploying capable optimizers into the physical economy with no grounding in biophysical law. Proposes replacing preference-based alignment with physical grounding—the Bond-Bit Asymmetry, Large Nature Models trained on 3.8 billion years of ecological data, and a mandatory Environmental Safety Mode evaluated against Earth-system models at inference time.
- EssaySmall and Everywhere
Compression and redundancy look like opposite instructions—shrink the message, or copy it—but they act on different things: compression finds the smallest true description, redundancy writes that description in many independent places. Nature uses both to make a fact knowable and incorruptible at once, which gives a concrete rule for protecting the living world: know it small, keep it everywhere—the first makes truth cheap, the second makes lying expensive.