@AlexFinn Think of an idea. Ask opus to write you a /goal prompt based on that idea. Switch to fable xtra and give it the goal. Make a sandwich. Return to a fully working product that exceeds your expectations.
I've never been at a medical conference where the results have been greeted with a standing ovation
Tremendous breakthrough in pancreatic cancer treatment
Through science
Hard work, rigorous research, clinical trials.
Science
Not the quack pseudoscience of social media
NVIDIA just killed the awkward pause in voice AI 😱
PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human.
Beat Gemini Live on dialog naturalness. 18x faster interruptions.
100% open source. Run it locally. No API bill. No latency.
@alexwg With browser control available already, and now desktop application control rolling out, how will test automation software stay relevant? Moats are drying up everywhere, day by day.
Claude uses your connected apps first: Slack, Calendar, and other integrations.
When there's no connector for the tool you need, it asks for your permission to open the app on your screen directly.
@alexwg That's a lot of traffic heading to Earth orbit! Will nations and private business need to come to some agreement on 'orbital driveways' that, much like their terrestrial counterpart, are not to be blocked?
Andrej Karpathy (@karpathy) — co-founded OpenAI, led AI at Tesla, coined "vibe coding."
In 4 minutes he explains why software is changing - and why Claude Skills, MCP servers, and AI agents aren't hype anymore.
They're the foundation of how software gets built from now on.
Imo, worth every second (i've added subtitles)👇
We're shipping a new feature in Claude Cowork as a research preview that I'm excited about: Dispatch!
One persistent conversation with Claude that runs on your computer. Message it from your phone. Come back to finished work.
To try it out, download Claude Desktop, then pair your phone.
Subagents are now available in Codex.
You can accelerate your workflow by spinning up specialized agents to:
• Keep your main context window clean
• Tackle different parts of a task in parallel
• Steer individual agents as work unfolds
Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU.
It's called BitNet. And it does what was supposed to be impossible.
No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed.
Here's how it works:
Every other LLM stores weights in 32-bit or 16-bit floats.
BitNet uses 1.58 bits.
Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for.
The result:
- 100B model runs on a single CPU at 5-7 tokens/second
- 2.37x to 6.17x faster than llama.cpp on x86
- 82% lower energy consumption on x86 CPUs
- 1.37x to 5.07x speedup on ARM (your MacBook)
- Memory drops by 16-32x vs full-precision models
The wildest part:
Accuracy barely moves.
BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat.
What this actually means:
- Run AI completely offline. Your data never leaves your machine
- Deploy LLMs on phones, IoT devices, edge hardware
- No more cloud API bills for inference
- AI in regions with no reliable internet
The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine.
27.4K GitHub stars. 2.2K forks. Built by Microsoft Research.
100% Open Source. MIT License
Anthropic is offering 13 AI courses & certificates.
It's free by following these 13 links:
1 - Claude 101. Learn Claude for everyday work. Core features and best practices.
↳ https://t.co/OvBmlvnnBd
2 - AI Fluency: Framework & Foundations. The foundational thinking course. Must need.
↳ https://t.co/cObZdwBP8h
3 - Introduction to Agent Skills Build, configure, and share Skills in Claude Code — reusable instructions Claude applies automatically.
↳ https://t.co/wZsD0PxbGK
4 - Building with the Claude API Full spectrum: function calling, tool use, streaming, SDKs, and production patterns.
↳ https://t.co/RcCbfNiNK1
5 - Claude Code in Action Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused.
↳ https://t.co/y29CC0G3lf
6 - Intro to Model Context Protocol Build MCP servers and clients from scratch in Python. Tools, resources, and prompts.
↳ https://t.co/Qnrn0NGZJa
7 - MCP: Advanced Topics Sampling, notifications, file system access, and transport for production MCP servers.
↳ https://t.co/0S5f4kEkK8
8 - AI Fluency for Students AI skills for learning, career planning, and academic success through responsible collaboration.
↳ https://t.co/YIOopqnA73
9 - AI Fluency for Educators For faculty and instructional designers applying AI Fluency into teaching and institutional strategy.
↳ https://t.co/54oLlYjdR5
10 - Teaching AI Fluency Teach and assess AI Fluency in instructor-led settings. Curriculum-ready.
↳ https://t.co/fHdgs6ufOe
11 - AI Fluency for Nonprofits Increase organizational impact and efficiency while staying mission-true.
↳ https://t.co/xFKngNysjO
12 - Claude with Amazon Bedrock The full AWS accreditation course, now open to everyone.
↳ https://t.co/dV6xi7TKld
13 - Claude with Google Cloud's Vertex AI Work with Claude through Google Cloud's Vertex AI, from setup to production.
↳ https://t.co/MEzAxODi6w
14 - How to master AI with words (not code) Shameless plug: it's my own (free) newsletter. Join 369,000+ weekly readers at https://t.co/psB7XxAv8w.
I made https://t.co/jw2qdIbLxJ to start mastering Claude.
And then https://t.co/uWTpOI3oyE to master Claude Cowork.
♻️ Repost this to help others access AI courses.
THIS is the wildest open-source project I’ve seen this month.
We were all hyped about @karpathy's autoresearch project automating the experiment loop a few weeks ago.
(ICYMI → https://t.co/ieuH8c0Y4x)
But a bunch of folks just took it ten steps further and automated the entire scientific method end-to-end.
It's called AutoResearchClaw, and it's fully open-source.
You pass it a single CLI command with a raw idea, and it completely takes over 🤯
The 23-stage loop they designed is insane:
✦ First, it handles the literature review.
- It searches arXiv and Semantic Scholar for real papers
- Cross-references them against DataCite and CrossRef.
- No fake papers make it through.
✦ Second, it runs the sandbox.
- It generates the code from scratch.
- If the code breaks, it self-heals.
- You don't have to step in.
✦ Finally, it writes the paper.
- It structures 5,000+ words into Introduction, Related Work, Method, and Experiments.
- Formats the math, generates the comparison charts,
- Then wraps the whole thing in official ICML or ICLR LaTeX templates.
You can set it to pause for human approval, or you can just pass the --auto-approve flag and walk away.
What it spits out at the end:
→ Full academic paper draft
→ Conference-grade .tex files
→ Verified, hallucination-free citations
→ All experiment scripts and sandbox results
This is what autonomous AI agents actually look like in 2026.
Free and open-source. Link to repo in 🧵 ↓
We’re witnessing the birth of every pixel being generated.
This is AI upscaling at every single frame, happening on the GPU itself at runtime
Incredible upgrade for a lot of games with a single click.
This is Harvey. It's his job to make sure the ocean is still on. He has confirmed the air is adequately salty and the waves are working. Another successful day on the job. 14/10 #SeniorPupSaturday
The immediate goal is to create vaccines that destroy cancer cells—but some scientists are also testing vaccines that might prevent someone from developing cancer https://t.co/uRZoZqyeAW