Are there people who are clippers of technical content.

anyone out there capable and interested in joining the Midjourney team to train some diffusion text models? really feels like we could do something special and i'm increasingly tempted to try

I see the windsurf marketing team in this.

GLiClass-V3: A family of encoder-only models that match or exceed DeBERTa-v3-Large in zero-shot accuracy, while delivering up to 50× faster inference. Core Design: - Single-pass inference: No cross-encoder pairing needed. One forward pass handles all labels. - LoRA adapters: Fine-tuned on logic tasks (e.g., Formal Logic Reasoning, Commonsense QA) for symbolic generalization without catastrophic forgetting. - Edge-ready: gliclass-edge-v3.0 hits 97 ex/s on A6000, ideal for mobile and IoT GLiClass-V3 variants (gliclass-*): (Built on DeBERTa, ModernBERT, and Ettin for edge deployment) - large-v3.0: 70.0% avg F1 (best) - base-v3.0: 65.6% - modern-large: 60.8% - edge-v3.0: 48.7% (fastest, Ettin-based) - x-base: 57% F1 (EN), 42% (multilingual) for robust multilingual zero-shot generalization Benchmarks (zero-shot, no fine-tuning): - CR, SST2, IMDb: ~0.93–0.94 F1 - Outperforms GLiClass-v2 and cross-encoders (e.g., DeBERTa-v3-Large, RoBERTa) - Scales to 128+ labels with massive speedup (DeBERTa-Large: 0.25 ex/s vs GLiClass: 82.6) Use cases: - Multi-label classification (e.g., topic, sentiment, spam) - RAG reranking - Privacy-safe on-device NLP Built on DeBERTa and ModernBERT. Fully open-source. pip install gliclass

best practices from the chat LLM era are not just outdated but actively harmful when building coding agents. notes from our talk with @beyang, CTO of @Sourcegraph

@turbopuffer is the database of choice for companies like @cursor_ai @linear Come learn about what it takes to build a billion-scale vector search on object storage!

The Toad is out of the bag! 🛍🐸 Announcing Toad - a universal UI for agentic coding in the terminal

🇺🇸 Today is a day we have been working towards for six months. We are announcing America’s AI action plan putting us on the road to continued AI dominance. The three core themes: - Accelerate AI innovation - Build American AI infrastructure - Lead in international AI diplomacy and security. It’s a long document (!) and I highly encourage you read it. There is a lot of exciting actions in here but one I’m very partial to is the focus on open source and open weights and making sure the U.S. leads in this critical area. This represents the work of many many people but I want to particularly highlight @DavidSacks @mkratsios47 and the person who has spent the most time and sweat and effort on this : @deanwball Personally, this is an effort I’ve been incredibly proud to have been a part of and why I signed up for this job. I’m confident this and the other announcements today put us on the road to AI dominance as called for by President Trump.

The more I'm building out this coding CLI, the more I realize that I could have never joined the Claude Code team.

until ai can make a woman fall in and out of love with them im not impressed -checks logs ok i'm in impressed