AI Pulse

fuck me china just launched the 1st AI model that autonomously built itself... and its as good as claude opus 4.6 and gpt-5.4 - minimax M2.7 trained

@@cryptopunk7213

MiniMax M2.7 pricing on OpenRouter: $0.30/M input $1.20/M output 204,800 context window Claude Opus 4.6 is $15/M input. $75/M output. GPT 5.4 isn't

@@bridgemindai

I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code w

@@toddsaunders

One of the biggest requirements for document OCR is visual grounding, and frontier models (gemini, opus, gpt-5.4) suck at it by default. In other wor

@@jerryjliu0

Cook: A simple CLI for orchestrating Claude Code

These 10 Claude Code skills are completely insane 🤯 Competitor audits, creative briefs, 20 hook variations, ad copy, static ads, and weekly performan

@@mikefutia

Slackは解約しました Claude Codeで自分で作ったので

@@MacopeninSUTABA

opus 4.6 is slower and a bit lazier for me i honestly can't believe how much better and faster codex feels with gpt-5.4, and even with 5.3 codex. ha

@@slow_developer

Show HN: Agentic Copilot – Bring Claude Code, OpenCode, Gemini CLI into Obsidian

Stop burning tokens on Claude Code. Use this instead 👇 A free GitHub repo (80K⭐) that turns your CLI into a high-performance AI coding system. Link

@@Shruti_0810

The $10 Coding Arbitrage: How To Run Elite AI Agents At 20x Lower Cost Than Claude Opus stop paying two hundred dollars every single month for a codi

@@MoonDevOnYT

Most people treat CLAUDE.md like a prompt file. That’s the mistake. If you want Claude Code to feel like a senior engineer living inside your repo,

@@swadeshkumar_

GPT 5.4 didn't get enough praise for how big of a step it was in OpenAI's agent arc. At the same time, with better context management, speed, rate l

@@natolambert

OpenAI released GPT-5.4 Thinking and GPT-5.4 Pro, models with larger context windows and improved tool use that set new highs on benchmarks for coding

@@DeepLearningAI

Some people haven't stared into GPT-5.3-Codex' sdead dark eyes long enough. They haven't looked into the abyss deep enough to notice that down there

@@thorstenball

TDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis

AI coding agents can resolve real-world software issues, yet they frequently introduce regressions, breaking tests that previously passed. Current benchmarks focus almost exclusively on resolution rat

"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at https://

@@KirkDBorne

Model Context Protocol (MCP): The Tool Ecosystem for AI Agents

MCP is the open standard that lets AI agents connect to any external tool or data source. This guide covers how it works, the most useful servers available today, when to use it, and how to build your

Onchain data is abundant. Actionable insight is not. @AdEx_Network is now live on SKALE, introducing an AI agent framework that analyse data and sur

@@SkaleNetwork

The Agent Buddy System: When Prompt Engineering Isn't Enough

Most AI agents don’t reliably follow directions, and that’s one of the biggest reasons they never...

agentic AI doesn't need your permission to move markets. 1. most people see the tool. the cave sees the coordination layer. 2. smart money already mov

@@clAwdtIsmo

Show HN: Lukan – An open-source agentic workstation in a single Rust binary

Show HN: KYC Verification Process Automation Using Agentic AI

A brief history of AI coding, from Copilot to next-gen agents

Tomorrow, @cursor_ai is going to release a super strong coding model. Possibly SOTA. Stay tuned. 🫡

@@mark_k

Now with `gpt-5.4-mini` and `nano` out, I put together a simple cheat sheet of the latest OpenAI models by use case. Noticed at a few recent hackatho

@@gabrielchua

OpenAI has expanded the GPT-5.4 family with two new lightweight models: GPT-5.4 mini and GPT-5.4 nano. GPT-5.4 mini: Running twice as fast as its pr

@@WesRoth

Multiverse Computing pushes its compressed AI models into the mainstream

After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has launched both an app that showcases the capabilities of its compressed models and

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

Post training quantization is essential for deploying large language models (LLMs) on resource constrained hardware, yet state of the art methods enforce uniform bit widths across layers, yielding sub

Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models

Multimodal Large Language Models (MLLMs) have made impressive progress in connecting vision and language, but they still struggle with spatial understanding and viewpoint-aware reasoning. Recent effor

Show HN: Will my flight have Starlink?

Coding will be generically available from many companies in a few months

@@elonmusk

Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training