zchee / tʃí / ちー

整頓した記念 これキープしろ自分 Dior Homme LIMIfeu Apple Go LLVM コンパイラ GC zsh LAMY 好きなものや興味あるものをすぐ見れるように置いておくと精神的に良さそう マルジェラのMoleskineは飾りになってしまった

30 second explanation of the MemPalace by Milla Jovovich. By day she’s filming action movies, walking Miu Miu fashion shows, and being a mom. By night she’s coding. She’s the most creative, brilliant, and hilarious person I know. I’m honored to be working with her on this project… more to come.

Excited to announce a new open-source, free-to-use memory tool I have been developing with my good friend @MillaJovovich. The project is called MemPalace and it is an agentic memory tool that scored 100% on LongMemEval - the industry standard benchmark for memory… this is higher on than any other published results - free or paid - and it is available now on GitHub. You can check out Milla’s video about it on her Instagram. I’ll also put some links in the comments below - please try it out, critique it, fork it, contribute to it - and join our discord.

Zero-Human Companies - these are already forming. AI agents for ops. AI for customer support. AI for code. AI for content. Entrepreneurs of 2026 are managing agents, not people. You're not a CEO anymore... you're an architect.

@BrianRoemmele 👀 thx github.com/zchee/ane-pyth…

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 (github.com/maderix/ANE) 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.

Google has revealed that "commercially motivated" actors attempted to clone @GeminiApp by bombarding it with over 100,000 prompts. This "model extraction" attack aimed to steal the AI’s proprietary logic and reasoning capabilities, particularly in non-English languages, to train a cheaper, unauthorized copycat model. The attackers systematically mapped Gemini’s response patterns to create a synthetic dataset for fine-tuning smaller, open-source models. Google’s Threat Intelligence Group detected the coordinated activity and blocked it, labeling the incident a direct attempt at intellectual property theft. Beyond commercial cloning, Google’s report noted a rise in state-backed threats. Groups from Russia, China, Iran, and North Korea are increasingly using AI to refine phishing campaigns, perform reconnaissance, and assist in writing code for malware. Source: Ars Technica

@simonw (I know go-python is different topic to your article, JFYI

@simonw `go run full_module_name` is popular, but github.com/go-python/gopy also interesting (I tested 5 years ago

I've been experimenting with distributing Go binaries as wheels on PyPI so you can execute them without installing them first using commands like "uvx sqlite-scanner ~/Downloads" - I wrote sqlite-scanner in Go I made go-to-wheel to help build these simonwillison.net/2026/Feb/4/dis…

My alphaXiv in 2025 wrapped alphaxiv.org/wrapped/019901…

the current SOTA of safety can be summed up in this one photo

「シークレットは1Passwordにあるので設定してください」をやめたいのでGoでの実装を例に、いい感じにローカルでのシークレット設定を自動化する話を書きました ✍️ #LayerXテックアドカレ ローカル開発のシークレット設定を自動化する ── Go × AWS Secrets Manager zenn.dev/layerx/article… #zenn

Stripe is a miracle. The fact that someone built Stripe is a miracle. That’s it, that’s the tweet.

最高

Finally merged dev.simd into maser > This marks the end of development on dev.simd github.com/golang/go/comm… #golang

✧･ﾟ #GauDev Advent Calendar 2025｜DAY2 🎅･ﾟ✧ 本日はAIチームの @tsubakiky による音声対話アプリ開発における「語り手の交代」の制御について🗣️ 技術的にも定義的にも難しいテーマです --- LiveKitでターンテイキングを少しだけ改善した話｜tsubaki kyosuke zenn.dev/gaudiy_blog/ar… #zenn

Congrats to the @antigravity team on the launch today! fyi you missed a spot:

Released Lima v2.0 🎉 github.com/lima-vm/lima/r… ✅ Pluggable VM drivers ✅ GPU acceleration w/ krunkit ✅ MCP for sandboxing AI agent workloads ✅ Improved CLI (e.g., `--mount-only .` to limit the mount scope) Originally made for running @containerd , but now useful for AI too💚