AI maturity is no longer about how many copilots a company has deployed. It is about whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from AI pilots to AI operations. Governance is the scaling layer. The key
AI
-
Mix-Quant: Quantized Prefilling and Decoding for Agentic LLMs
By
–
Mix-Quant Quantized Prefilling, Precise Decoding for Agentic LLMs
-
Auth Proxy: Controlling Agent Behavior Boundaries
By
–
Introducing the sandbox Auth Proxy: A way to control the boundary between agent-generated behavior and the rest of the world. An explainer from @hwchase17
-
Token Economics: LLM Utility, Demand, Supply, Monetization
By
–
→Token utility: the model, context length, and level of interactivity required
→ Token demand: the volume of tokens required
→ Token supply: the optimal infrastructure given the token utility and demand
→ Token monetization: cost-based and value-based pricing to maximize -
Tips for AI-assisted scientific coding workflows
By
–
How to vibe code in science: early adopters share their tips
by Nicola Jones @Nature Learn more: https://
bit.ly/4uOUTo1 #Coding #AI #GenerativeAI #ArtificialIntelligence #MachineLearning -
LLM Hallucinations and Visual Misinterpretation Research
By
–
Yowza! Similar in some ways to the Stanford paper recently on LLMs hallucinating responses to images they never saw.
-
Optimize Your AI Agents with the Right Context
By
–
This applies to any AI coding agent, not just Codex. Cursor, Claude Code, and Antigravity all follow the same approach. Stop asking it to write code from scratch. Provide it with the elements that help you focus on the problem you actually want to solve.
-
Codex enhances engineers’ focus
By
–
6/ The thread beneath all five. Codex isn’t used to write code faster. It’s used to handle the work that disrupts focus. Reading. Refactoring. Testing. Scaffolding. Background tasks.
The engineer stays in the flow. The agent takes care of the rest. -
Scaffolding a New Project with Codex
By
–
4/ Scaffolding new work. The initial setup of folders, modules, and API stubs for a feature. The boilerplate phase. Engineers use Codex to generate runnable code in minutes, then begin the actual problem-solving work.
-
Refactoring and Security with Codex
By
–
2/ Refactoring across multiple files. Renaming a function used in 40 places. Migrating an API. Applying a security fix everywhere at once. The kind of work everyone avoids because doing it manually is brutal. Codex makes it easy.