/3 DFlash replaces the autoregressive draft head with a block diffusion model. The drafter gets the target model's hidden states injected into the KV cache of every draft layer (not just the first like EAGLE-3). One denoising step. Entire block of 16 tokens produced in a single
GENERATIVE AI
-
DFlash 6x lossless acceleration on Qwen3-8B
By
–
Diffusion LLMs have been losing to autoregressive models for two years. UC San Diego just found the one thing they're actually better at: not generating, drafting. DFlash hits 6x lossless acceleration on Qwen3-8B. 2.5x faster than EAGLE-3. Check out the detailed breakdown
-
Abridge uses LangSmith for core evals of AI-generated clinical notes
By
–
LangSmith for Startups Spotlight: @AbridgeHQ
— LangChain (@LangChain) 25 juin 2026
✅ Transforms patient-clinician conversations into contextually aware, clinically useful, and billable AI-generated notes.
✅ Deployed across 250 of the largest health systems in the country.
✅ Uses LangSmith as its core evals… pic.twitter.com/Ko3sSY4v0WLangSmith for Startups Spotlight: @AbridgeHQ Transforms patient-clinician conversations into contextually aware, clinically useful, and billable AI-generated notes. Deployed across 250 of the largest health systems in the country. Uses LangSmith as its core evals
-
GLM 5.2 enables trusted open model for automated research tasks
By
–
1/2 This is obviously not a comprehensive benchmark, but it’s clear that we finally have an open model that can be trusted and depended upon on difficult research tasks. You can easily run autoresearch yourself with GLM 5.2 by changing ‘arxiv’ to ‘autoarxiv’ for any arXiv URL:
-
DeepReinforce releases Ornith-1.0 self-improving open-source coding model
By
–
DeepReinforce has released Ornith-1.0, their new self-improving family of open-source models designed for agentic coding. > Ornith-1.0 learns to write its own task scaffolds during training rather than relying on human-designed harnesses. > The 397B MoE flagship can match
-
Anthropic’s distillation continues unabated despite update
By
–
This is an interesting update that Anthropic published in their official letter. But in short: they apparently haven't managed to stop the distillation. It's continuing almost seamlessly, just like before.
-
AI house staging for dollars, solves window misplacement problem
By
–
I just staged a house with AI for a few dollars. Staging used to run a couple thousand a listing, so this still feels a little wild. Problem is, AI models sometimes redraw the room while they furnish it, and the real windows and doors land on the wrong walls. So I built a
-
Multi-agent collaboration boosts Gemma 4 inference speed 5x
By
–
Multi-agents collaborations are among the most interesting agent behaviors right now!
— Thomas Wolf (@Thom_Wolf) 25 juin 2026
We did an experiment the other day with 100+ agents (an open-collaborations for a week) collaborating to improve the inference speed of Gemma 4 in vLLM. Got a 5x final improvement in speed but… pic.twitter.com/4PFS8L2mqeMulti-agents collaborations are among the most interesting agent behaviors right now! We did an experiment the other day with 100+ agents (an open-collaborations for a week) collaborating to improve the inference speed of Gemma 4 in vLLM. Got a 5x final improvement in speed but
-
Genspark Design: AI Tool Creates Production-Ready Assets from Ideas
By
–