A guy named René
an article that is talking about claude code ego deathing me
We rebuilt the onboarding experience from scratch — now you can upload your resume and let AI do the heavy lifting, or skip straight to building things yourself.
Summary of the Nine Recommendations and Biodiversity Monitoring Standards Framework papers from the NAS/Royal Society US-UK Forum in summer 2025, and how they connect to my work on collective knowledge systems, TESSERA, and evidence synthesis.
Wading my way through the mess that is programming today
Generalist LLMs are not lawyers, and evaluating them that way is a waste of time. Evaluating LLMs with useful specialized prompts (and eventually, with specialized legal harnesses) is where the work must happen.
Examining the parallels between art, AI, and the existential threat to programmers
An AI-powered Bluesky bot that uses a local Ollama model to generate posts in the style of a source account.
Python tool for analysing .docx files and generating essays using a local Ollama model — now part of the @ewanc26/pkgs monorepo.
TESSERA paper accepted at CVPR 2026, went to the AI Impact Summit, OCaml Zarr hacking, Shriram's talk on human factors of formal methods, and discussions on teaching OxCaml to agents.
Trip report from the Indian AI Impact Summit in New Delhi, covering the massive expo, a conversation with Yann LeCun, a hackathon/talk at IIT-Delhi, networking at the British High Commission, and reflections on the summit declaration's shift from safety to progress and equitable access.
writes <2% as many bytes as Opus 4.6
Ultimately, the cloud and AI industries are about robbing you of computing power and selling it back at exorbitant rents.
Ultimately, the cloud and AI industries are about robbing you of computing power and selling it back at exorbitant rents.
Ultimately, the cloud and AI industries are about robbing you of computing power and selling it back at exorbitant rents.
Ultimately, the cloud and AI industries are about robbing you of computing power and selling it back at exorbitant rents.
First TESSERA hackathon held at the Indian AI Impact Summit in Delhi, exploring integration with IIT-Delhi's CoRE Stack for geospatial analysis and testing TESSERA labeling workflows.
A world model learns to predict (state, action) → next state. Google's Genie 3 uses this at massive scale to generate interactive worlds from images. This demo shows the core challenge: prediction errors compound. Two balls start identical — one follows true physics, the other uses a 'learned model' that adds noise to each prediction. Watch divergence accumulate frame by frame. The graph shows how small errors become large ones through autoregressive generation.
A biomimetic model of the corticostriatal loop discovered neurons that predict errors before they happen. About 20% of the neural population are 'incongruent' — their activity doesn't match the dominant decision signal. When researchers checked real animal data, the same pattern was hiding there, overlooked for years. These neurons maintain alternatives, enabling cognitive flexibility when the world changes. The model as scientific instrument, finding what humans missed.
AI-planned Mars rover navigation. In December 2025, NASA's Perseverance drove 456 meters on routes planned entirely by Claude AI models — analyzing HiRISE orbital imagery to identify boulder fields and sand ripples, generating waypoints to navigate safely. The critical challenge: positional uncertainty grows with distance. By 655m, the rover could be 33m from where it thinks it is. Validated through 500,000 telemetry variables on JPL's digital twin before transmission to Mars.
Hosting the UK chief scientists for nature conservation at Pembroke to discuss TESSERA and AI for biodiversity, followed by the Conservation Evidence conference where I talked about choosing the open red pill over black-box AI for conservation decision-making.
How does a mind decide what to remember? What makes one experience crystallize into long-term memory while another fades within hours? How can a system modify itself while maintaining coherent identity?
On the commoditization of software and what persists when building gets cheap.
New research challenges the assumption that more AI agents in deliberation always improve outcomes. Sometimes the best collective intelligence preserves disagreement rather than forcing consensus.
AI can serve us as a force multiplier, augmenting our own agency and making the most of our own effort, hard work and value. Not by replacing it.
Wrapping up 25 days of agentic coding with a Claude Code OCaml plugin marketplace to share the skills and tools developed throughout the series.
Tuatara is a feed aggregator that integrates Claude to evolve and patch its own code when encountering parsing errors, embodying the concept of self-healing software.
Introducing unpac, a tool that unifies git and package management into a single workflow where all code dependencies live in one repository as trackable branches.
Materialising opam metadata into git submodules and monorepos, enabling cross-cutting fixes and unified odoc3 documentation across dozens of OCaml libraries.
Porting the W3C's Nu HTML Validator from Java to OCaml and running in the browser dynamically
Porting the Nu HTML Validator's language detection to OCaml, then optimizing from 115MB to 28MB and fixing WASM array limits for browser deployment.
Building an OCaml Zulip bot framework with functional handlers, and pivoting from TOML to INI codecs for Python configparser compatibility