Join free with your email
Free. No spam, ever — we'll never share your email address and you can opt out at any time. ¿Ya tienes cuenta? Inicia sesión
Founder with public evidence across AI business.
Forthcoming soon: AI and Consciousness. Email me if you'd like to see the (uncorrected) proofs, or view the final public MS version at arxiv.org/abs/2510.09858
Cool: the Neurosymbolic AI Summer School has a logic programming tutorial. Cooler: The tutorial is by Bob Kowalski!
This by @mmullins.coginiti.co is so good. Summary: philosophers have had a place, especially around metaphysics, in tech, but with LLMs epistemology and ethics take center stage and are no long just a necessary foundation, but a product differentiator open.substack.com/pub/msm…
This by @mmullins.coginiti.co is so good. Summary: philosophers have had a place, especially around metaphysics, in tech, but with LLMs epistemology and ethics take center stage and are no long just a necessary foundation, but a product differentiator open.substack.com/pub/msm…
Somebody make it make sense. Databricks is raising yet additional funding, beyond their last 16th round of funding, at a valuation that is north of 35x current revenue. #databs
Two more reasons Coginiti 26.6's LLM blocks hold up: 1. Same block runs on Snowflake, Databricks, BigQuery, Redshift, Postgres, SQL Server, and with OpenAI, Claude, Gemini, or local Ollama. 2. Batching patterns keep prompts bounded, so it scales from 50 rows to 50k.
The thing I like most about Coginiti 26.6's LLM blocks: the model's output is typed, so it's queryable immediately. JOIN it against real tables. Write tests that validate it. Cache it. Schedule it. AI output held to the same bar as every other transform in your pipeline.
Coginiti 26.6 is out and you can now call an LLM directly inside CoginitiScript. New llm block type, sits next to your SQL. Write a prompt, declare a typed schema, get structured rows back, then query them downstream like any other table. The model's a pipeline step now, not a bolt-on.
finance ARR ≠ sales ARR ≠ marketing ARR none of them are wrong. they're all "correct" against three different definitions. now ask an AI agent for revenue and watch it pick a fourth.
Center = mmullins.coginiti.co. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/mmullins-coginiti-co)