Another aspect of this is that Codex, like a good programmer, wants to generalize problems. It has a tendency to write a repeatable code base that generates the required output. But for a lot of non-coding work, this is unnecessary and often limiting, since it anchors the work.
LLMS
-
LLM Failure Modes in Learning Negations During Fine-tuning
By
–
“Negation Neglect: When models fail to learn negations in training” LLMs can understand a disclaimer in-context, but often fail to learn it during finetuning. So when training on documents saying a claim is false can still implant the claim as true. Qwen3.5 belief in
-
Hermes Orchestrator and Codex Builder Vision
By
–
100% this is the way. /goal with Hermes as orchestrator and Codex/Claude Code as builder that could all be tracked on a single Kanban makes it really 2028.
-
Controlling Algorithms: Why I Built My Own
By
–
The one who controls the algorithm controls you. Why I built my own. 🙂
-
AI coding assistant automates workflows and learns commit patterns
By
–
loads – it's super helpful, it has learnt my commit patterns, testing nuances and surprisingly also what order of things do I ask and automatically run workflows that I'd run over and over!
-
AI Model Efficiency: Building a Snake Game with Three-Tier Memory
By
–
Nostalgia hit for the millennials: let's build a Snake Game 🐍
— SambaNova (@SambaNovaAI) 15 mai 2026
Watch what happens when you ask an AI model to build something. Three-tier memory moves models and activations across DDR, HBM, and on-chip SRAM to keep inference fast & efficient. https://t.co/F3zKGeG829 pic.twitter.com/sQfQuJC8G7Nostalgia hit for the millennials: let's build a Snake Game Watch what happens when you ask an AI model to build something. Three-tier memory moves models and activations across DDR, HBM, and on-chip SRAM to keep inference fast & efficient. https://
sambanova.ai/blog/why-dataf
low-matters-more-than-ever?utm_source=x&utm_medium=organic&utm_content=blog-announcement
… -
OpenAI Rolls Out Personal Finance Feature for ChatGPT Pro Users
By
–
OPENAI 🔥: A new Personal Finance feature is rolling out to Pro ChatGPT users in the US.
— 🚨 AI News | TestingCatalog (@testingcatalog) 15 mai 2026
This feature allows users to connect their financial data to ChatGPT (bank accounts, Robinhood, etc) and ask financial questions.
> We’ll learn and improve from early use before rolling… https://t.co/ck4naZXarZ pic.twitter.com/UwgMlMJwrtOPENAI : A new Personal Finance feature is rolling out to Pro ChatGPT users in the US. This feature allows users to connect their financial data to ChatGPT (bank accounts, Robinhood, etc) and ask financial questions. > We’ll learn and improve from early use before rolling
-
Technical Survey of Multi-Agent AI Systems and Self-Evolution
By
–
// Beyond Individual Intelligence // One of the more useful multi-agent surveys I've read this year. 200+ papers mapped along three axes: collaboration mechanisms, failure attribution, and self-evolution. The self-evolution chapter is the cleanest field map of where memory,
-
Comparison of Agentic Search vs. Vector Search
By
–
Great paper discussing agentic search vs. vector search.
-
Researchers Introduce Laser: A More Efficient Visual Reasoning AI Model
By
–
What if visual reasoning could be 97% more efficient while outperforming top models? Researchers from MBZUAI, Fudan, Renmin, and Harvard introduce Laser. Instead of forcing step-by-step text, it uses “forest-before-trees” reasoning—maintaining a big-picture understanding