Paper: https://
arxiv.org/abs/2604.22750
Project website: https://
longjubai.github.io/agent_token_co
nsumption/
…
LLMS
-
AI Agent Token Consumption: Research Paper & Project
By
–
-
NPM installations of @openai/codex jump from 100k to 1M per day
By
–
https://npm-stat.com/charts.html?package=openai-codex&from=2026-01-25&to=2026-05-25 … shows that installations of @openai/codex via NPM were about 100,000 per day in January, now over one million per day.
-
Grok Build nav section appears, hinting at upcoming release
By
–
A new Grok Build section has started appearing in the nav bar for users. It is not currently functional, but it may signal an upcoming release of the Grok Build web experience. Soon?
-
Custom Claude Code & OpenClaw Workflows: Capafyai Marketplace for Monetization
By
–
How cool!
— Charly Wargnier (@DataChaz) 26 mai 2026
I'm seeing TONS of custom Claude Code and OpenClaw workflows. @Capafyai is building a marketplace for them 🔥
Instead of hoarding your scripts, package them as one-click Skills and get paid per use 👀↓pic.twitter.com/gB8LQI5RNi https://t.co/vD8pOms1XlHow cool! I'm seeing TONS of custom Claude Code and OpenClaw workflows. @Capafyai is building a marketplace for them Instead of hoarding your scripts, package them as one-click Skills and get paid per use ↓
-
Claude Code Builders: The Ultimate Resource Bible Curated for You
By
–
CLAUDE CODE BUILDERS Bookmark this immediately. You'll thank me later. THIS is the ultimate resource bible for Claude Code, and I’ve curated all the links for you in this ↓
-
Free ChatGPT Deep Dive Video & Article Breakdown
By
–
I still can’t believe @karpathy released this 3.5-hour deep dive on how ChatGPT actually works… for FREE. 🤯
— Charly Wargnier (@DataChaz) 26 mai 2026
Easily the best video I've watched on the topic.
Swap your next Netflix binge for this.
Then read the ace article below from Codez breaking it all down 👀↓ https://t.co/5RYVSFckqq pic.twitter.com/c8spocCq5rI still can’t believe @karpathy released this 3.5-hour deep dive on how ChatGPT actually works… for FREE. Easily the best video I've watched on the topic. Swap your next Netflix binge for this. Then read the ace article below from Codez breaking it all down ↓
-
Critique of Wired piece on AI fact-checking
By
–
I found this Wired article on AI fact-checking frustrating. It could have been about why we continue to need human fact checkers (talk to people, use judgement, resolve conflict). Instead it is full of old info & stuff about free models GPT-5.5 Pro checked it (& I checked GPT)
-
Karpathy ditches RAG for autonomous Obsidian markdown wiki
By
–
@karpathy literally ditched traditional RAG for an autonomous Obsidian file system. Instead of writing code, he dumps raw AI research into a local folder and lets an LLM convert it into an interconnected markdown wiki. He rarely edits the text manually. By relying purely on
-
Uber’s AI Spending and Microsoft’s Claude Code Decision Highlight Routing Layer Need
By
–
Uber burned $3.4B in AI budget in 4 months.
— Chubby♨️ (@kimmonismus) 26 mai 2026
Microsoft is cancelling Claude Code licenses company-wide.
The root cause is the same: no routing layer between the request and the model.
Build Your Own Router lets you match every request to the right model based on your own… https://t.co/5IwiuXAR5RUber burned $3.4B in AI budget in 4 months. Microsoft is cancelling Claude Code licenses company-wide. The root cause is the same: no routing layer between the request and the model. Build Your Own Router lets you match every request to the right model based on your own
-
Typed Schemas for LLM Data Ingestion and Domain Context
By
–
The hard part is that "what matters" is domain-specific and the LLM has no way to know that on its own. That is where typed schemas earn their keep. You encode what matters once, and every future ingestion inherits that judgment without the model having to rediscover it.