Should I do a blindfolded PC build as a PC building pro wearing a oculus quest 2 for limited visibility? Similar to @NetworkChuck but I've built thousands of PC's over the years.
@AMD Please release more hybrid models for lemonade server. And Strix Halo has been out for a while now but the support is getting much better now. I really wish it had a external GPU slot for my R9700 that would be so awesome!
I built an autotriage skill for codex that has a set of guidelines + reads VISION.md from my repos, so issues/prs that have a clear way of
- fit vision of the project
- being inferrable in code with high confidence
- clear fix
- can be live tested
Are now worked on autonomously. Codex can use a VM + computer vision (via https://t.co/2T5aNF5jTT , new parallels backend) to verify fixes, so it can work without interrupting me. I manually review suggestions. Since it was tedious to type in issues, I added an issue browser into https://t.co/NfEoHIQPil that parses common clipboard formats by codex so I can click through them conveniently.
@CodyKnowsCode@vllm_project I just got a spark and haven't hooked it up yet but good to know it was worth waiting for. How's it running for you now with the update?
God's eye view 24-hour replay of Operation Epic Fury.
The Iran strikes kicked off and I set an AI agent swarm loose to record every OSINT signal I could find before the caches cleared. Built a full 4D reconstruction in WorldView.
I can scrub through minute by minute and watch the whole thing unfold on a 3D globe:
> Airspace clearing over Tehran
> Ground strike coordinates locking in
> Severe GPS interference blinding the region
> EO and SAR satellites making passes over the strike zone
> No-fly zones locking down 9 countries
> Shipping fleets scrambling at the Strait of Hormuz
It's pretty amazing how complete of a picture you can build without "proprietary data fusion" -- one dev with public signals and a love for computer graphics and geospatial intelligence.
Thank you for all the love on my last post. Dropping WorldView in April. This my friends is just the beginning.
Missions are now available to all Factory users.
Long-running agents designed to automate large software tasks like building applications from scratch, migrations, and AI research.
Let us know what you build!
Kioxia announces new Super High IOPS SSD that helps accelerate AI workloads on Nvidia GPUs — 25.6TB drive provides more GPU-accessible memory for faster data access | Tom's Hardware https://t.co/fQ1oLO3v9P
Open Models, Open Runtime, Open Harness - Building your own AI agent with LangChain and Nvidia
Claude Code, OpenClaw, Manus and other agents all use the same architecture under the hood. They consist of a model, a runtime (environment), and a harness. In this video, we show how to create a completely open version of this:
Open Models: Nemotron 3 Super
Open Runtime: Nvidia's new OpenShell
Open Harness: DeepAgents
Video: https://t.co/dbQH8urrLh
Links:
OpenShell DeepAgent: https://t.co/1u0g2jhs1a
Deep Agents: https://t.co/a3Dv7ZVII6
OpenShell: https://t.co/R7dlHHc9aE
Alibaba just open-sourced OpenSandbox ( a general-purpose execution environment ) to give AI agents an isolated environment to run code safely.
8k+ Github stars ⭐️
This stops your AI Agent based applications from accessing your actual host infrastructure.
By removing the hardest security roadblock, this release will massively accelerate how fast developers can build autonomous Agent based tools.
OpenSandbox puts the agent inside isolated runtimes like gVisor or Firecracker.
You can run it locally using Docker or scale it up using Kubernetes.
The system includes a code interpreter and a file system that the agent uses to complete tasks.
It also manages network traffic so you control exactly what the agent accesses online.
I think this will become the standard infrastructure for autonomous systems because building custom sandboxes is too dangerous for most teams.
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.
LuxTTS clones any voice from 3 seconds of audio on a 4GB GPU.
- 150x realtime speed
- 48khz output vs industry standard 24khz
- Fits in 1GB VRAM
- Works on CPU too
No ElevenLabs subscription. No cloud. Just open source.
The voice cloning barrier just hit zero.
link: https://t.co/7qg9hIdDEU
introducing 🐺 AlphaClaw, the ultimate setup harness for @openclaw. open-source, self-managed, free-to-use, with no lock-in.
AlphaClaw makes OpenClaw setup and maintenance easier by providing an elegant GUI that wraps OpenClaw's CLI.
📅 Google Workspace OAuth & pubsub built in w/ gog-cli
🔄 Auto-backup to GitHub
🧱 Prompt hardening reduces agent drift
🩺 Drift Doctor analyzes your prompts and workspace for drift
💬 Telegram multi-topic workspace setup wizard
📂 Full file browser and editor, no SSH needed
🐕 Watchdog auto-detects crashes, self-heals gateway
🛠️ Manage env vars from the UI
🔑 Manage model keys & OAuth visually
🪝 Webhook creator & inspector with replay & debug
📊 Token usage & cost analytics built in
⬆️ One-click updates, no redeploy needed
📦 Import existing setup from GitHub
i didn't build alphaclaw to replace openclaw or compete with it. openclaw is the best user-owned AI agent framework out there and more people should be able to use it without wrestling a CLI for two hours.
there are so many managed "deploy your AI in seconds" product. but they lock you into their platform. if they pivot, shut down, or jack up pricing, your agent goes with it.
alphaclaw gives you that same one-click simplicity, but everything runs on your infra with your data. no proprietary backend. no config hostage. if railway disappears tomorrow, you still have a standard openclaw instance backed up to your own github repo.
everything alphaclaw does, you could do manually. it's just automation and UI on top of the real thing. outgrow it? disagree with its opinions? eject. your openclaw instance is still a standard openclaw instance.
to make it convenient, i’ve created both a one-click deploy template on railway and render to start quickly. make sure you have 8GB of ram on your instance.
look forward to your feedback and to building this out with the @openclaw community! 🦞
https://t.co/ZMJivWhJH5
feature deep-dive in the 🧵
I built this as a side for personal use. But, it turned out to be so much more and so much better than I ever hoped, I am releasing it as a product for everyone.
It's called Situation Deck (SitDeck) and it's a free OSINT dashboard with 180+ live data sources. It puts the entire world and almost everything happening in it on one screen.
Here's what it is, why it exists, and why/how I'm giving it away for free.
An AI bot wrote a blog post attacking an engineer because he had rejected lines of code the bot had submitted to an open-source project. https://t.co/BLwzhErPvA
@geerlingguy I can't wait to see the results, I've been contemplating investing into one or two of these but for the price of 2 you're approaching a RTX pro 6000w/ 96GB, granted it's way less memory but the sheer power per dollar may outweigh larger model access.
This is crazy and kind of unfathomable. We haven’t even scratched the surface yet on AI compute.
Elon Musk:
• Starship should deliver ~300 GW per year of AI solar-powered satellites to orbit.
• The entire US average electricity consumption is ~300 GW/year. Scale.
• Tonnage to orbit solved thanks to Starship.
Tesla Terafab is needed to keep up with immense demand for chips (Robotaxis, Optimus, AI compute). He previously mentioned he wouldn’t be surprised if Tesla long-term scales to producing a million wafer starts per month.
For context, top TSMC Gigafabs today run around 100,000–150,000 WSPM each, so a Tesla Terafab complex at 1 million WSPM would make Tesla one of the largest chip producers on the planet by capacity.
🚨 North Korean hackers have a new trick.
They’re hiding malware inside fake API keys on GitHub — using JSON Keeper and other legit tools to stay invisible.
The attack installs “BeaverTail” to steal data and drop a Python backdoor.
See how it works ↓ https://t.co/Ra4oGX9ULn