AI agent rebuilds black hole images from raw EHT data, matching 91%-98% of official results
fofrAI · x · 2026-10-19
fofrAI tasked the Argon agent with reproducing the first black hole images from raw data. The agent pulled raw 230 GHz radio fringes (UVFITS) from Event Horizon Telescope archives, built an interferometry solver using 3-dish closure phases to cancel atmospheric noise, and started each run from a plain Gaussian blob with no ring templates or masks. It recovered M87 (2017 & 2018) and Sgr A at a 91%-98% match of the official EHT images, shown side by side.
More from coding & agent
- AI agents cost 20x more than conventional software, warns architect's enterprise breakdown — DavidLinthicum · 2026-10-19
- Indie dev shares UI iteration workflow: three mock options for every visible change — SeanOliver · 2026-10-19
- Reddit dev splits Claude Code tasks by complexity to cut token burn, but sub-agents backfire — alatmaca · 2026-10-19
- Opus 5.5 builds a realistic 3D ocean exploration scene in 4,100 lines of code — techartist_ · 2026-10-19
- DeepSeek V4.1 gets smarter but discards its best ideas; Opus struggles to rescue the mess — teortaxesTex · 2026-10-19
- eduframe-mcp open-sources natural language lead management for Eduframe via MCP — modelcontextprotocol · 2026-10-19