Nvidia announced NemoClaw at GTC — an enterprise security layer built on top of OpenClaw.
OpenClaw agents can access sensitive data, execute code, and communicate externally. For businesses, that's a liability without guardrails.
NemoClaw adds sandboxed execution via OpenShell, a privacy router, and policy controls. Works with any model — Neotron, or third-party.
Interesting open-source infrastructure move.
Claude now builds interactive charts and flowcharts directly in chat — free plan included 🤯
I asked for a sales dashboard → got bar charts, pie charts, trend lines, all clickable
I asked for a periodic table → every element was clickable with full details
This used to take 30+ minutes manually. Now it's one prompt.
If you're still building these things by hand... try this today.
Moved from ChatGPT custom GPTs to Claude Skills for ad creative work.
Built a 5-step system: drop in a brand URL → auto brand research (fonts, hex codes, photography style, competitor analysis) → Brand DNA doc → image prompts with everything baked in.
No placeholders. No guessing. Just prompts that work.
A Google Workspace CLI designed specifically for AI agents just dropped on GitHub — 16K stars in under a week.
It gives agents programmatic access to Gmail, Drive, Docs, Sheets, Calendar and more, with minimal token usage and runtime-queryable documentation so commands stay current as APIs evolve.
Worth noting: it also ships an MCP option for workflows that need it. Not a replacement — a complement.
The tooling gap between capable models and real automation is closing fast.
Lovable + Claude + Stripe are giving away $400 in free credits for Women's Day 🎉
$100 Claude API tokens. $250 Stripe credits. 24hrs free website building.
Gender neutral. No card. No catch.
Expires March 9. Go claim it NOW 👇
Go to : https://lovable.dev/?via=sid
GPT-5.4 dropped and someone already built a playable Minecraft clone in 24 mins.
Creator's response: "Minecraft is solved. Need a new test."
1M token context. Real-time interruptibility. Built-in computer use.
The bottleneck is no longer code. It's knowing what to ask.
Andrej Karpathy on developer archetypes in 2026:
→ Purists writing everything by hand
→ Architects using autocomplete while staying in control
→ Delegators prompting agents end-to-end
Agents excel at high-frequency patterns, but struggle with genuinely novel problems. The skill is knowing when to delegate.
For more breakdowns like this in plain English → Jargonese:
https://jargonese.beehiiv.com/
#programming #AItools #softwaredevelopment #LLMs #developers
Google released "Little Language Lessons" — free, 40+ languages, two interesting features:
— Word Cam: point camera at objects, get instant vocab
— Langhang: AI conversations using real regional slang
Direct Duolingo competition. And it's free.
While you're switching between 12 tabs manually...
Perplexity Computer just ran 16+ AI models simultaneously in the background.
One handles research.
One pulls financial data.
One writes the code.
All coordinated. One clean output.
The uncomfortable truth?
The people who learn to direct these systems will be worth 10x the ones still doing the tasks.
That gap is closing right now.
Subscribe to my newsletter before you're on the wrong side of it 👇
Anthropic says Chinese AI labs created 24,000 fake accounts and pulled 16M Claude responses to distill reasoning into their own models.
Google published evidence.
OpenAI leaked concerns.
If true, it explains how some models improved so fast.
But here’s the paradox:
Big AI labs scraped the internet to train.
Now they object when their outputs get scraped.
Is distillation theft?
Or just the next layer of model evolution?
