use codex locally on the codebase, will give you better results.
GENERATIVE AI
-
Anthropic Accidentally Exposes Claude Source Code
By
–
Earthquake for Claude. Anthropic just inadvertently handed over the manufacturing blueprint of its AI to all its competitors. A simple file forgotten in an update. In the AI war, battles are sometimes lost over human error. coinacademy.fr/actu/anthropi… [Translated from EN to English]
→ View original post on X — @alex_tsico, 2026-03-31 20:13 UTC
-
GAAMA: Graph-Augmented Memory for Long-Term Agent Learning
By
–
// Graph Augmented Associative Memory for Agents // Long-term memory for agents is still an unsolved problem. Flat RAG loses structural relationships, and knowledge graphs miss conversational associations. New research proposes combining both through a hierarchical approach. GAAMA is a graph-augmented associative memory that constructs a concept-mediated hierarchical knowledge graph through episode preservation, LLM-based fact extraction, and higher-order reflection synthesis. It uses four node types connected by five edge types, with retrieval combining semantic search and graph-traversal ranking. On the LoCoMo-10 benchmark, GAAMA achieves 78.9% mean reward, outperforming HippoRAG and tuned RAG baselines. Multi-session agents need memory that captures both facts and their relationships across conversations. GAAMA demonstrates that graph-augmented retrieval consistently beats semantic-only methods, and that higher-order reflections, not just raw fact storage, are key to reliable recall. Paper: arxiv.org/abs/2603.27910 Learn to build effective AI agents in our academy: academy.dair.ai/
-
Fewer Projects More People Better Quality Focus
By
–
We need fewer projects, more people. We need better projects, better quality people.
-
Alchemy Plugin Enables Direct Crypto App Building in Codex
By
–
You can now build crypto apps directly from Codex using the Alchemy plugin! I expect many onchain apps will be built this way. Awesome work by the resident Codex power-user @0xmts! Alchemy (@Alchemy) 🤖 NEW 🤖 @OpenAIDevs shipped Codex Plugins on Thursday. We weren't going to make builders wait… Alchemy is LIVE inside your AI coding agent: Crypto prices dashboards, @solana asset viewers, x402 compute, and more. Build with one prompt. — https://nitter.net/Alchemy/status/2039050866901274933#m
→ View original post on X — @romainhuet, 2026-03-31 19:47 UTC
-
LLMs Replace Mediocrity, Not Expertise Quality
By
–
LLMs are not making expertise less valuable. They are making mediocre work easier to replace. Quantity is cheap now. Judgment, taste, and direction are not. We need fewer people. But we need better ones. To be clear, I am not saying beginners are doomed. I am saying the path changed. The people who learn fast, care about quality, and use LLMs to improve their judgment will do very well. The ones focused on shipping and quantity will be the ones replaced first.
-
Krill Usage: Local Codex and Claude Code Applications
By
–
For what have you been using Krill? local = codex, or claude code
-
Context Window Limitations in AI Models Explained
By
–
if you go beyond the 256k context window it falls off quite a bit yeah, but default limits that.
-
Coding Agents Automate Cross-Platform Workflows with Intelligence
By
–
Agents that can code will equally be able to use tools exceedingly well. This allows you to start to automate tasks across a workflow that requires both a component of non-deterministic intelligence but also deterministic system interaction.
— Aaron Levie (@levie) 31 mars 2026
An example would be using something… https://t.co/ziNaeIUR8TAgents that can code will equally be able to use tools exceedingly well. This allows you to start to automate tasks across a workflow that requires both a component of non-deterministic intelligence but also deterministic system interaction. An example would be using something like Codex to automate a workflow connecting data from Box to multiple other systems. The coding agent can interact with systems like an engineer via CLI/MCP/APIs, or write code on the fly when new problems are encountered in a workflow. This will also be one of the reasons you’ll see more technical and engineering roles start to help automate work in non-engineering domains. Marketing, finance, supply chain, pharma research, and other areas where there’s a large amount of data and systems to talk to all have these properties. Box (@Box) Codex just turned an upcoming meeting into a fully automated cross-platform workflow. Box. Gmail. Slack. It researches across all three, synthesizes the context, and delivers a pre-meeting brief without anyone lifting a finger. This is what personal productivity looks like when agentic automation does the work for you. See it in action.👇 — https://nitter.net/Box/status/2039056257282449696#m
→ View original post on X — @romainhuet, 2026-03-31 19:39 UTC