🧵 My tips for getting the best results out of Claude Design! I’m on the verticals team at Anthropic which means I serve 7 different products. Claude Design makes it possible!
1. Set up your design system and your core screens. An hour of setup and refinement here is worth it
BOOM!
Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It!
In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon.
The project (https://t.co/jrk67hf9p1) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now.
Translation? Your desktop just became a hyper-efficient AI supercomputer.
The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet.
At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead.
This is world-changing.
For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs.
No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints.
Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle.
The AI revolution just moved from billion-dollar data centers to your desk.
WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner!
We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here.
The future isn’t coming. It’s already running on your Mac.
Welcome to the Zero-Human Company era.
we just open sourced Open Intent OS
57k lines of rust. MIT. no python. no node. no bullshit.
@openclaw most "AI agents" are just a while loop around a chat API. they wait for you to type something, respond, then go back to sleep. we built something different.
OpenIntentOS is an operating system. your agents have a kernel, a scheduler, a vault, and a sandbox. they run on a cron, watch your inbox, monitor targets, write reports, and send you a
briefing before your alarm goes off. you don't talk to them. they work.
the security story is real. secrets never touch the LLM — they live in an encrypted vault with taint tracking. skills run in WASM sandboxes with signed manifests. there's SSRF protection,
prompt injection detection, and an audit trail on everything. we built 13 isolated crates because we actually thought about what happens when something goes wrong.
skills are the unit of automation. install a skill and it runs forever on a schedule. your morning briefing skill pulls email, calendar, and news and delivers a markdown report to Telegram at
7am. your research skill works while you sleep and cites its sources. community skills live on ClawHub — install in one command.
when a goal is too big for one agent, the orchestrator breaks it into a task graph and routes subtasks to specialized workers. dependencies resolved, results consolidated, nothing babysit.
this is what we think agentic software should look like.
https://t.co/cjepQFDso4 ⭐
Someone built a web-based System Design Simulator,
where you drag & drop architecture components and actually simulate traffic, failures, latency, and scaling in real time,
System design just got way more interactive.
Flutter 3.41 is here, and the future looks bright ⚡
Update now for:
➕ Swift Package Manager & UIScene support
➕ Auto-resizing "Add-to-App" views
➕ Experimental Multi-window APIs for Desktop
Details → https://t.co/RTd4J72m0c
While Seedance 2.0 is on the way, Seedream 5.0 arrives first — now live on CapCut.
A new image model with smarter reasoning, stronger design capabilities, multi-language accuracy, and improved reference control.
Think Nano Banana Pro, but muuuuch cheaper
NOW FREE in:
Mobile: Edit Photo → AI Edit
Desktop & Mobile: Media → AI Image
Web: AI Design
Like, comment and retweet to get 1000 credits in your DMs (9h)
*Available globally, with US availability coming later
A 100% automated QA team that works 24/7:
1. Write your test in plain English
2. AI generates the test cases
3. Web agents execute the tests in parallel
4. Live browser preview with everything that happens
Try this for free in your project.
Just got AI-driven animation working inside my web-based 3D animation tool.
Big step toward faster character workflows.
still in dev, making progress
check out the waitlist
https://t.co/pudDR8CpMv
#web3d#threejs#animation#AI#webxr#indiedev#gamedev
Alright - here's my most powerful vibe coding prompt ever.
Plug this straight into the new Opus 4.6 model, and you'll literally be able to ship anything.
SEO optimised websites, fully functional Claude apps, personal dashboards - literally anything.
Takes <5 minutes:
Goldman Sachs is rolling out Anthropic’s AI model to automate accounting and compliance roles completely.
Anthropic engineers have been embedded at Goldman for 6 months, co-developing systems that act like “digital co-workers” for high-volume, process-heavy tasks.
The new setup uses an LLM-based agent that can read large bundles of trade records and policy text, then follow step-by-step rules to decide what to do, what to flag, and what to route for approval.
Goldman says the surprise was that Claude’s capability was not limited to coding, and that the same reasoning style worked for rules-based accounting and compliance work that mixes text, tables, and exceptions.
The bank expects shorter cycle times for client vetting and fewer lingering breaks in trade reconciliation, and slower headcount growth rather than immediate layoffs.
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cnbc .com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
📣 Open call to agent builders: Let's read agent skills from `.agents/skills`, so people don't have to manage separate folders per agent.
Today we pulled the trigger for Codex to read `.agents/skills`. Goal is to deprecate `.codex/skills`.
Pls like/tag/RT for momentum.
Gemini Prompt Tip: When you give Gemini a persona, it can help you get a better response.
Keep the persona simple. A clear job title works better than a complicated character.
Try including “Act as a [profession]…” at the beginning of your prompt to see how a persona changes the style of Gemini’s response.