AI Pulse

14/ Use --agent to give Claude Code a custom system prompt & tools Custom agents are a powerful primitive that often gets overlooked. To use it, jus

@@bcherny

I just vibe-coded a TikTok research AI agent in Claude Code 🤯 A complete research-to-brief pipeline that scrapes TikTok, analyzes video hooks with AI

@@mikefutia

Humans: 100% Gemini 3.1 Pro: 0.37% GPT 5.4: 0.26% Opus 4.6: 0.25% Grok-4.20: 0.00% François Chollet just released ARC-AGI-3 -- the hardest AI test eve

@@heygurisingh

AI is evolving faster than ever 🚀 From Gemini 3 Pro leading in reasoning to Claude Sonnet 4.5 dominating coding, and GPT-5 standing strong as the ulti

@@Dharmikpawar31

Claude Code runs Git reset –hard origin/main against project repo every 10 mins

I wanted to share a bunch of my favorite hidden and under-utilized features in Claude Code. I'll focus on the ones I use the most. Here goes.

@@bcherny

How to start using Claude Code in 30 min: (even if you never wrote one line of code) → 0-5 min: Install Claude Code. Sign in. → 5-10 min: Build yo

@@rubenhassid

Great thread on reducing Claude Code token up to 60% Best one is using the open-source tool RTK (Rust Token Killer) It automatically removes noise,

@@jasonzhou1993

3/ Two of the most powerful features in Claude Code: /loop and /schedule Use these to schedule Claude to run automatically at a set interval, for up

@@bcherny

6/ Use the Chrome extension for frontend work The most important tip for using Claude Code is: give Claude a way to verify its output. Once you do th

@@bcherny

Apparently you get bullied and rejected from Anthropic for being insufficiently woke on risks of open source AI. Experience with Anth HR interview. 1p

@@teortaxesTex

2026 TREND: GlobalClaw → my employee GPT-5.4 → brainstorming Gemini 3.1 Pro → design Nano Banana 2 → images Claude 4.6 → coding Sora 2 / Kling 3.0 → v

@@s_mohinii

Coding agents could make free software matter again

Agentic Architectures — Article 2: Advanced Coordination and Reasoning Patterns

Solving the “Stochastic Parrot” Problem with Structured Logic There’s a criticism of large...

Agentic Architectures — Article 1: The Agentic AI Maturity Model

From “Just Call the API” to Self-Evolving Ecosystems There’s a conversation I keep having...

Agentic Shell - cli agent adaption layer

Hey folks, TLDR: Spent the today writing an adaptation of cli-agent shell requests, having coded the...

Chapter 3. How to Use — MCP Server

3.1 What is MCP? MCP (Model Context Protocol) is an open standard protocol that allows...

SakanaAI/AI-Scientist-v2: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

I built an MCP server so your agent stops picking the wrong cloud services

Your Local LLM Just Learned to Think: Building an Autonomous ReAct Agent with Ollama + MCP

Your local Ollama model just learned to think for itself. With helix-agent v0.4.0, your local LLM...

If that’s true, the goal isn’t just an AI coding assistant. It’s something closer to an AI agent that works across roles. One place. Shared context.

@@Ronycoder

Long-Horizon Agents Are Here. Full Autopilot Isn't

A good sanity check for long-horizon agents is not a benchmark. It is a task that is easy to verify...

NoteRunway: Because Your Notion Workspace Deserves an Elite Crew

This is a submission for the Notion MCP Challenge Table of Contents What I...

humanlayer/humanlayer: The best way to get AI coding agents to solve hard problems in complex codebases.

ICYMI: OpenAI launches GPT-5.4 Thinking and Pro https://thenewstack.io/openai-launches-gpt-5-4/?taid=69c9a0ecb7d88c00019f98c9&utm_campaign=trueanthem&

@@thenewstack

Different voices. Same answer: open models. NVIDIA Founder and CEO Jensen Huang sat down with the leaders from @mistralai, @bfl_ml, @cursor_ai, @Lang

@@NVIDIAAP

🚨 We just killed @cursor_ai. Shipper builds an entire business from a single prompt... design, code, email marketing, launch, translation. Everything

@@chhddavid

Stop downloading LLMs; your machine was never going to run. llmfit scans your hardware and tells you exactly which models will run. It scans your RAM,

@@aaliya_va

Open weight vs open source are different. Kimi, GLM, llama, etc give you inference code model architecture but not training data or training recipe. N

@@mweinbach

Mistral Just Released a Free Voice AI That Claims to Beat ElevenLabs. @MistralAI @PierreStock https://virtualuncle.com/voxtral-tts-mistral-open-source

@@virtualunc

A whopping 56% of citations on ChatGPT now go to a brand website. It was 8% with GPT-5.3, but it has now increased 7X with GPT-5.4. The data is from W

@@neilpatel

Ask HN: Release Path for 'Transformers Alternatives'?

[D] thoughts on the controversy about Google's new paper?

Openreview: [https://openreview.net/forum?id=tO3ASKZlok](https://openreview.net/forum?id=tO3ASKZlok) It's sad to see almost no one mention this on Reddit and people are being mean to people who point

[P] Implemented TurboQuant in Python

Spent \~2 days implementing this paper: *TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate* Repo: [github.com/yashkc2025/turboquant](http://github.com/yashkc2025/turboquant?utm

[D] Data curation and targeted replacement as a pre-training alignment and controllability method

Hi, r/MachineLearning: has much research been done in large-scale training scenarios where undesirable data has been replaced before training, such as any instances of violence, lying, or deception in

[P] Built an open source tool to find the location of any street picture

Hey guys, Thank you so much for your love and support regarding Netryx Astra V2 last time. Many people are not that technically savvy to install the GitHub repo and test the tool out immediately so I

5/ Cowork Dispatch I use Dispatch every day to catch up on Slack and emails, manage files, and do things on my laptop when I'm not at a computer.

@@bcherny

Night Hack II is underway at @fdotinc Caffeinated by @UseCorgi, plus credits by @NebulaAI + @cursor_ai + @synclabs_so

@@adriannalakatos

[D] Why does it seem like open source materials on ML are incomplete? this is not enough...

Many times when I try to deeply understand a topic in machine learning — whether it's a new architecture, a quantization method, a full training pipeline, or simply reproducing someone’s experiment —

Why Qwen Won't Run on Your MacBook Air (and How to Fix It)

Running Qwen locally on a MacBook Air fails out of the box. Here's why quantization fixes it and exactly how to set it up step by step.