David Loiret @david_loiret
Tech Lead & Engineering Manager Front-end @gatew4tcher | Web enthusiast. https://t.co/OR6AtO4yf3 davidloiret.github.io Metz Joined December 2011-
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Wan2.5: Let Sound Take the Director’s Chair! 🎬 Today, we’re excited to unveil another major feature in our powerful Wan 2.5 Preview: Native Audio-Driven Video Generation. ✨ Now you can use audio input directly for both text-to-video and image-to-video generation. Combine audio…
This is really cool - you can try it out by signing into chat.qwen.ai (with Google or GitHub) and selecting the audio icon The model weights are only ~70GB and that's before quantizing them down, so this one is going to be reasonably accessible to run locally
This is really cool - you can try it out by signing into chat.qwen.ai (with Google or GitHub) and selecting the audio icon The model weights are only ~70GB and that's before quantizing them down, so this one is going to be reasonably accessible to run locally
OpenAI just released the largest-ever report on how consumers are using ChatGPT. It looks at millions of (anonymized) messages over the last 3 years to analyze usage evolution over time. Key takeaways 👇
🆙Qwen Code v0.0.10 & v0.0.11 bring new features and dev-friendly improvements: ✨New UX & Productivity · Subagents for smarter task decomposition · Todo Write tool for task tracking · “Welcome Back” project summary on reopen! · Customizable cache Strategy ⚡Performance & Dev…
Since most of the llama.cpp community focuses on LLMs and text generation, we wanted to share what we've learned about using llama.cpp for multimodal embeddings in practice. Many of the issues we encountered are tricky for end-users to debug on their own. github.com/jina-ai/llama.……
After these fixes, we tested the llama.cpp model against our PyTorch reference V4 model on ViDoRe tasks using the MTEB benchmark. As you can see in the results table, the GGUF versions and its quantized variants perform nearly identically to the reference model on…
V4 is multimodal embeddings, but V4-GGUF wasn't—until now. We've finally cracked how to generate multimodal embeddings using llama.cpp & GGUF. We fixed two main issues. First, in the language model part, we corrected the attention mask in the transformer block so it properly…
Every lens leaves a blur signature—a hidden fingerprint in every photo. In our new #TPAMI paper, we show how to learn it fast (5 mins of capture!) with Lens Blur Fields ✨ With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Meta Superintelligence Labs just made LLMs handle 16x more context and unlocked up to a 31x speedup. 🤯 Their new REFRAG framework rethinks RAG from the ground up to achieve this, all with zero drop in accuracy. Here's how it works: The core problem with long context is…
Kimi K2-0905 update 🚀 - Enhanced coding capabilities, esp. front-end & tool-calling - Context length extended to 256k tokens - Improved integration with various agent scaffolds (e.g., Claude Code, Roo Code, etc) 🔗 Weights & code: huggingface.co/moonshotai/Kim… 💬 Chat with new Kimi…
🤟 JAILBREAK ALERT 🤟 MOONSHOT, ALIBABA, OAK: PWNED 😎 K2-0905, QWEN-3-MAX, SONOMA-ALPHA: LIBERATED 🦅 There were three notable model launches in the last few hours, so rather than do multiple separate posts, I decided to try and one-shot 3 birds with 1 stone! Watch me…
Just had an aha moment w/ GEPA @DSPyOSS - Gemini 2.5 Flash-Lite (GPT 4.1 reflection LM) - 3 signatures in one compound module - 12 training examples - 10 test examples - 32 minutes of optimizer runtime - $0.90 total cost Results: - Baseline: 68.2% - GEPA-Optimized: 95.3% 🤯
👀 React Native 1.0 is finally on the horizon Announced at React Universe Conf, they will share the plan to reach 1.0 soon! RN recently: - improved its release process (6x/year) - stabilized and clarified its public APIS - introduced workflows to catch breaking changes
👀 TIL about WebMCP - Proposal from Microsoft/Google Allows web dev to expose their web application functionality as MCP tools that AI agents can use to interact with a page The Edge team has started implementing a prototype already
Postgres 18 comes with native UUID v7 support, which could boost your db performance! UUID v7 is time-ordered, which means there is less overhead on the indexes. This leads to both reduced write and read time from the database!
A deep dive on KPOP at @Cohere_Labs ML efficiency group. KPOP is an optimizer designed specifically for the hardware constraints of Apple Silicon. We're doubling the number of Apple Silicon macs that can train together coherently every 2 months. In 12 months we'll have rebuilt…
A deep dive on KPOP at @Cohere_Labs ML efficiency group. KPOP is an optimizer designed specifically for the hardware constraints of Apple Silicon. We're doubling the number of Apple Silicon macs that can train together coherently every 2 months. In 12 months we'll have rebuilt… https://t.co/6XL3gjWHPj
Published a new blog post: Replacing a Cache Service with a Database We already use databases, why can't we use them to replace caches as well? Will we ever replace caches entirely with databases? In this post, I will share some ideas, and discuss how we are moving toward this
This new DeepMind research shows just how broken vector search is. Turns out some docs in your index are theoretically incapable of being retrieved by vector search, given a certain dimension count of the embedding. Plain old BM25 from 1994 outperforms it on recall. 1/4
Introducing SemTools - add blazing-fast semantic search to your entire filesystem without a vector database ⚡️ Coding agents like Claude Code/Cursor have full access to the CLI like grep, cat, and pipe operations for search. But they lack ‘proper` semantic search that’s actually…
Introducing SemTools - add blazing-fast semantic search to your entire filesystem without a vector database ⚡️ Coding agents like Claude Code/Cursor have full access to the CLI like grep, cat, and pipe operations for search. But they lack ‘proper` semantic search that’s actually… https://t.co/e8cxufFr3R

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