Kévin L.

#ReferentTechnique #ChefDeProjet #Developpeur #Node #React #Redux #Angular2 #Angular #Ionic #Electron #Express #PHP #J2EE #OpenERP #Agartha

[Arthur Mensch @arthurmensch]

It's actually le gros chaton

[Oita @Oitajpn]

Germany: « Unlike those arrogant French, we believe in a truly European approach to major defence projects »

Also Germany: « Let me introduce our latest achievement: the GERMAN A400M »

[Bojan Tunguz @tunguz]

"You are sheltering a Mythos-level model in your server room, are you not?"

[tenso @distributedkv]

how it feels to use Opus now

[Riley Goodside @goodside]

ChatGPT Images 2.0 (Pro) generates a photo of a cake decorated with SVG that when transcribed to a file renders another cake

[Jane Manchun Wong @wongmjane]

Claude Status Page vs Whole Foods Three Pepper Blend

Who wore it better?

[Natacha Polony @NPolony]

Ce devrait être un scandale à l’échelle du continent. Un cas d’école de l’extraterritorialité du droit américain et des pratiques de sanctions secondaires sur les banques et les assurances. Si nous tolérons cela, tous les discours sur la souveraineté sont « pure bullshit ».

[Maybe @BreizhLondon]

Properly gigantic power exports from France today. Unlike 2022 it replaces quite a bit of lost gas.

The other nuclear shield.

[Brian Roemmele @BrianRoemmele]

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.

[Anthropic @AnthropicAI]

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War.

https://t.co/rM77LJejuk

[Mistral AI @MistralAI]

Introducing Voxtral Transcribe 2, next-gen speech-to-text models by @MistralAI.
State-of-the-art transcription, speaker diarization, sub-200ms real-time latency.
Details in 🧵

[Simon Maechling @simonmaechling]

Actually, you are going to see what happens when you follow religious beliefs instead of science.

[Mistral Vibe @mistralvibe]

Mistral Vibe 2.0 is now available on Le Chat Pro and Team plans.
Build, maintain, and ship code faster with the terminal-native coding agent by @MistralAI. Here’s what’s new 🧵

[French Response @FrenchResponse]

Our « culture »

[French Response @FrenchResponse]

“If there were a fire someday, firefighters would intervene — so better burn the house now.”

“If a shark might attack someday, intervention would follow — so better eat the lifeguard now.”

“If there were a crash someday, damage would occur — so better ram the car now.”

[Doc. Gus 🦷 @md_gusgus]

Ben oui désolé Martine, le commandant et les PNC étaient trop occupés à faire atterrir un avion en feu au lieu de te filer des sablés Michel et Augustin.

[Mistral AI @MistralAI]

Mistral OCR 3 sets new benchmarks in both accuracy and efficiency, outperforming enterprise document processing solutions as well as AI-native OCR.

[Tomasz Łakomy @tlakomy]

If you remember this, your back probably hurts.

[Napoleon Bonaparte Appreciator @NapoleonBonabot]

France rn

[LM Studio @lmstudio]

Devstral 2 is now available in MLX on Apple Silicon.

Run a local SOTA coding model on your MacBook.

Please update to LM Studio 0.3.35 first!

Have a nice weekend! 👾