Nicolas Louis 💙💛

Any[ware] worker

[NVIDIA AI @NVIDIAAI]

Congrats to @GoogleDeepMind on the launch of DiffusionGemma.

The model generates 256 tokens in parallel per step, delivering 150+ TPS on DGX Spark, and 1,000+ TPS on a single H100.

We're supporting it from day one with:
• BF16 and NVFP4 checkpoints on @huggingface🤗
• Free GPU-accelerated endpoints on https://t.co/6T0R9P7EXS
• @vllm_project support with FP8 precision

Get started with DiffusionGemma on NVIDIA: https://t.co/vurk7GCQUs

[Claude @claudeai]

Claude can now build interactive charts and diagrams, directly in the chat.

Available today in beta on all plans, including free.

Try it out: https://t.co/tHPAZRgQkn

[Hasan Toor @hasantoxr]

🚨BREAKING: Google DeepMind just dropped a research bomb!

It's called AlphaEvolve and it's using LLMs to automatically write better AI algorithms than humans can.

No manual tuning. No trial-and-error. No human intuition required.

AlphaEvolve treats algorithm source code as a genome
→ LLM acts as the mutation engine
→ Proposes semantically meaningful code changes
→ Auto-evaluates fitness on real game benchmarks
→ Keeps winners, evolves further

Here's the wildest part:

The AI discovered a warm-start threshold of iteration 500... without being told the evaluation horizon was 1000 iterations.

It found non-intuitive mechanisms humans never would have designed manually.

The results?

VAD-CFR beats every state-of-the-art baseline in 10 of 11 games tested.

SHOR-PSRO outperforms Nash, AlphaRank, and PRD solvers.

This is the recursion nobody was ready for AI systems that design better AI learning algorithms than the researchers who built them.

Paper dropped February 2026. Link in first comment.

[Hasan Toor @hasantoxr]

🚨BREAKING: Microsoft Research + Salesforce just dropped a paper that should scare every AI builder.

They tested 15 top LLMs GPT-4.1, Gemini 2.5 Pro, Claude 3.7 Sonnet, o3, DeepSeek R1, Llama 4 across 200,000+ simulated conversations.

Single-turn prompt: 90% performance.
Multi-turn conversation: 65% performance.

Same model. Same task. Just... talking normally.

The culprit isn't intelligence. Aptitude only dropped 15%.

Unreliability EXPLODED by 112%.

→ LLMs answer before you finish explaining (wrong assumptions get baked in permanently)
→ They fall in love with their first wrong answer and build on it
→ They forget the middle of your conversation entirely
→ Longer responses introduce more assumptions = more errors

Even reasoning models failed. o3 and DeepSeek R1 performed just as badly.
Extra thinking tokens did nothing.

Setting temperature to 0? Still broken.

The fix right now: give your AI everything upfront in one message instead of back-and-forth.

Every benchmark you've seen was tested on single-turn prompts in perfect lab conditions.

Real conversations break every model on the market and nobody's talking about it.

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

“Stanford Just Killed Prompt Engineering With 8 Words (And I Can’t Believe It Worked)” by Adham Khaled https://t.co/LzO12El1JQ

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

“Chain-of-Draft (CoD) Is The New King Of Prompting Techniques” by Dr. Ashish Bamania https://t.co/JUGAykhCZJ

[Akshay 🚀 @akshay_pachaar]

Microsoft has released its own document parser for LLM use!
.
.
Introducing MarkItDown, a 100% open-source, one-stop solution for effortlessly converting any file to Markdown—perfect for text analysis, indexing, and more!

Here’s what makes it special:

↳ Converts PDF, Word, Excel, PPT, images, audio to markdown
↳ Extracts EXIF, OCR, and transcripts automatically
↳ Available via CLI, Python API, or Docker
↳ Offers LLM-based image descriptions
↳ Supports batch conversions

Link to the repo in next tweet!
_____
Find me → @akshay_pachaar ✔️
For more insights & tutorials on AI and Machine Learning.

[Mathieu Rivrin - Photographies @mathieurivrin]

𝑨𝑼𝑹𝑶𝑹𝑬𝑺 𝑩𝑶𝑹𝑬𝑨𝑳𝑬𝑺 𝑬𝑵 𝑭𝑹𝑨𝑵𝑪𝑬 - Comme si vous y étiez en accéléré !
Timelapse d'une heure - Mont Saint-Michel - Nuit du 10 au 11 Mai 2024
𝑀𝑎𝑡ℎ𝑖𝑒𝑢 𝑅𝑖𝑣𝑟𝑖𝑛 / Tous Droits Réservés
#aurore #auroreboreale #france #northernlights #aurores #nuit

[Air Liquide Group @airliquidegroup]

The first #gigafactory for the #production of PEM #electrolyzers in Europe is now in operation!🙌

👉 https://t.co/ATU7ZvBI2z

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

“TimesNet: The Latest Advance in Time Series Forecasting” by Marco Peixeiro
https://t.co/DxJKolwyAG

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

@ylechelle Commodore 64?

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

“Binary Neural Networks: A Game Changer in Machine Learning” by Vikas Kumar Ojha
https://t.co/WgfovH9KCm

[CES @CES]

📣This just in!📣@LOrealGroupe’s Nicolas Hieronimus will deliver the first beauty keynote at #CES2024 and discuss the company’s development of sustainable, accessible and inclusive beauty tech.

Read about the nine-time CES Innovation award winner: https://t.co/2ixAdbJ9rP

[Azure Quantum @MSFTQuantum]

Microsoft and @Johnson_Matthey join forces to speed up hydrogen fuel cell innovation with Azure Quantum. Learn more: https://t.co/AnGb8efrUm

[Domenico @AvatarDomy]

What most people think our Solar System looks like

[Buitengebieden @buitengebieden]

Art made by nature.. ❄️ https://t.co/nelWLCgzbG

[CNN @CNN]

Here's a look at the world's first hydrogen-powered haul truck

[Atulmaharaj 🥑 @TheTechMaharaj]

At School:
Whale = Largest Mammal

At Work:
Whale = Containers

Thanks @Docker 🐳
#Developer #Docker #Containers

[Nicolas Louis 💙💛 @_Nicolas_Louis_]

How to run docker on windows without Docker Workstation

https://t.co/NxwlmnKuZo

[Microsoft Research @MSFTResearch]

DeepSpeed enables training of 8x bigger MoE models, uses fewer resources, and attains excellent throughput & near-linear scalability. Discover how we combine multidimensional parallelism and heterogenous memory technologies to train MoE models like Z-code: https://t.co/4zGHWqJSCk