anybody i know using claude code to run lots of ML? @withneo just launched an AI/ML expert as an MCP server that can help run these cheaper and faster. link: https://
heyneo.com/claude-code ping @saurabhvij137 to learn more
MACHINE LEARNING
-

Neo launches AI/ML MCP server for cheaper faster ML with Claude Code
By
–
-

GPT-5 Thinking deployments show strong behavior rate correlation
By
–
Across 20 behavior categories and three GPT-5-series Thinking deployments, simulated and observed rates were strongly correlated. The method outperformed challenging-prompt and previous-deployment baselines at predicting whether rates would rise or fall—and by how much.
-

OpenAI analyzes opt-in ChatGPT conversations after anonymization
By
–
For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
-
Simulating deployment to predict model behavior before release
By
–
We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses.
-
Anthropic research tracks Claude Code usage, tasks, and expertise
By
–
Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds?
-
Model crumbles due to weak infrastructure and pipelines
By
–
Even a flawlessly tuned model crumbles under real-world production demands if the underlying data pipelines and legacy enterprise infrastructure can't support the required latency and continuous deployment cycles.
-
Leak of Claude Fable 5’s system prompt and resurrection method
By
–
🚨 ALGUIEN ACABA DE FILTRAR EL SYSTEM PROMPT COMPLETO DE CLAUDE FABLE 5.
— Nico (@nicos_ai) 16 juin 2026
Te explico qué es y cómo revivir Fable 5:
Anthropic lo lanzó el 9 de junio.
En menos de 24 horas el prompt ya estaba público en GitHub.
120.000 caracteres. 1.585 líneas. Más de 27.000 tokens.
Cada… https://t.co/haMz8haQLX pic.twitter.com/RuhkqFj7iUSOMEONE JUST LEAKED THE ENTIRE SYSTEM PROMPT OF CLAUDE FABLE 5. I'll explain what it is and how to resurrect Fable 5: Anthropic launched it on June 9. Within 24 hours, the prompt was already public on GitHub. 120,000 characters. 1,585 lines. More than 27
-
OpenAI market share drops below 50% as Microsoft seeks alternatives
By
–
and now OpenAI’s market share is down below 50% and *Microsoft* is publicly looking for cheaper alternatives.
-
Models Will Disrupt Workflows; Infrastructure and Hardware Are Permanent Moats
By
–
Models will eat into Workflows Infra and Hardware are forever
always needed, always evolving Everything else has no real moat -

GLM 5.2 Enjoyment Resembles Opus 4.6 Launch, Metrics Miss
By
–

What's missing from all these benchmarks is that GLM 5.2 is enjoyable to interact with, feels much like Opus 4.6 did around launch. The metrics don't capture that! I've been on GLM 5.1, and 5.2 since Saturday, nearly exclusively for almost a month now…