model releases

arXiv:2604.15871v1 Announce Type: cross Abstract: The evaluation of visual editing models remains fragmented across methods and modalities. Existing benchmarks are often tailored to specific paradigms

arXiv:2604.16272v1 Announce Type: cross Abstract: As AI-assisted video creation becomes increasingly practical, instruction-guided video editing has become essential for refining generated or captured

arXiv:2603.13966v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models are increasingly evaluated across multiple simulation benchmarks, yet adding each benchmark to an evaluation pip

arXiv:2512.14554v5 Announce Type: replace-cross Abstract: The rapid advancement of large language models (LLMs) has enabled new possibilities for applying artificial intelligence within the legal doma

A user reported satisfaction with Gemma 4 Cloud but switched to GLM 5.1 due to API errors, noting that the alternative model consumes significantly more resources. The post likely discusses the perfor

Was super interesting to chat with one of @cohere's senior PMs about its AI speech-to-text model, which it hopes to incorporate into its North platform soon. .@Cohere's Cassie Cao takes us behind the

arXiv:2604.15823v1 Announce Type: new Abstract: Embodied robotic agents often perceive movies through an egocentric screen-view interface rather than native cinematic footage, introducing domain shift

We have been named one of the 40 Most Innovative AI-Native Prosumer Companies by @notablecap. The Prosumer AI 40 recognizes companies building the tools that blur the line between professional and con

What a week in SF for Gemma! 💎 - Gemma 4 SF Meetup, with Unsloth, MLX, VLLM, NousResearch, and Cactus Compute - Hackathon at Y Combinator with Cactus Compute - Ollama Gemma 4 Meetup, with SGLang - NVI

Advances in the use of artificial intelligence by major providers such as Google Cloud are not confined solely to the hyperscaler’s own customers. Partners, such as the AI-first digital engineering co

arXiv:2502.15972v2 Announce Type: replace-cross Abstract: Text-to-image generation models have achieved strong performance in culturally homogeneous settings, yet their ability to generate multicultur

arXiv:2603.27759v3 Announce Type: replace Abstract: Visual-Language Models (VLMs) have demonstrated exceptional cross-modal understanding across various tasks, including zero-shot classification, imag

arXiv:2604.15574v1 Announce Type: cross Abstract: Large language models are prone to hallucinating factually incorrect statements. A key source of these errors is exposure to new factual information t

arXiv:2510.17210v3 Announce Type: replace Abstract: The increase in computing power and the necessity of AI-assisted decision-making boost the growing application of large language models (LLMs). Alon

This post documents a Wordle game result where the player solved puzzle #1,765 in 3 attempts, with the emoji grid showing the letter placement feedback for each guess. The final guess revealed all fiv

This post shows Anthropic's Wordle game result for puzzle #1,766, solved in 4 attempts using a specific sequence of guesses indicated by the emoji color codes (gray for incorrect letters, yellow for c

An obvious way to release Mythos class models with uncertain autonomous ability is to make them only available on the website, like Gemini Deep Think or ChatGPT Pro. Minimal risk of being used for aut

Anthropic's Claude Code desktop app is strictly optimized for Anthropic's models , creating a 'walled garden' effect that restricts users to Claude exclusively. The redesigned Claude Code desktop app

Sarah Perez / TechCrunch: Appfigures: app releases across the App Store and Google Play grew 60% YoY in Q1, with App Store releases alone up 80%, possibly driven by AI coding tools — Everyone said AI

🔴 BREAKING Speculative decoding just got real for local LLMs. llama.cpp merged speculative checkpointing (PR #19493). Expect 0-50% speedups on coding tasks with `--spec-type ngram-mod`. This means: •

SpaceX launched 25 Starlink satellites aboard a Falcon 9 rocket from California, marking a significant milestone as the mission represented the 600th successful landing of an orbital-class rocket by t

I gave two MoE models the same vibe coding challenge Qwen3.6 35B A3B (31.8GB) vs Gemma4 26B A4B (23.3GB) Stack: > Unsloth Q6_K_XL > llama.cpp > Model-card recommended sampling for each 4 prompts, side

Introducing OpenMythos An open-source, first-principles theoretical reconstruction of Claude Mythos, implemented in PyTorch. The architecture instantiates a looped transformer with a Mixture-of-Expert

Just got access to Grok 4.3 and the first thing I did was throw the hardest task I usually run on claude to test it gave it a complex research prompt on deepseek: >thought for 13 mins and 17 seconds >

LiteParse is the best model-free, open-source document parser for AI agents. It now gets a first-class landing page on our website 💫 Our company mission is building the world's best agentic document p

Make neural network cells inside a “Digital Petri Dish” fight for control and dominance in a web browser tab. https://pub.sakana.ai/digital-ecosystem/ Media What happens when you put competing neural

Note to @AnthropicAI - much as I appreciate the public system prompts this would be so much more valuable to me as a Claude power user if you published the tool descriptions as well Since Anthropic pu

OMG. Let’s get one thing straight. Claude doesn’t get anxious. It mimics people who get anxious. Those two things are NOT the same. My head is shaking so much I need medical attention. anthropic's in-

This post compares AI assistants' responses to a request about driving to get gas, claiming that Grok 4.3 provides the requested information while ChatGPT, Claude, and Gemini decline or suggest altern

releasing qwen3.6 35b a3b carnice edition (inspired by @kaiostephens) to enjoy an hermes agent tailored finetuned on unified memory hardware! safetensors and gguf versions (q8, 6,5 and 4) available! f

Simon Willison documents the differences between Anthropic's Claude Opus 4.6 and 4.7 system prompts, analyzing changes that Anthropic made public. The notes likely highlight modifications to model beh

Source tweet is here: https://x.com/jerryjliu0/status/2044902620746363016?s=20 We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive

Mark Gurman / Bloomberg: Sources: the glowing “26” in Apple's WWDC invite is teasing a revamped Siri, memory shortages may push Mac Studio and touch MacBook Pro launches by a few months — Also: Memory

Thanks for the shoutout re: ParseBench! 📑 🙂 Opus 4.7 is definitely a step up from Opus 4.6 on document understanding capabilities. Great to see labs start to push a bit more on this front. [16 Apr 202

The biggest challenge of using chat-based AI systems is that the details of what they can do are invisible - those tool descriptions are the missing manual, publishing them would be a huge benefit to

The continuing gap between the capabilities of Gemini Pro 3.1 (very good model) and the capabilities of the Gemini app/website is odd. The model can do what Claude/GPT can do, but there is a minimal h

The Top AI Papers of the Week (April 13 - 19) - AlphaEval - AiScientist - Auto-Diagnose - Nemotron 3 Super - Subliminal Learning - Automated W2S Researcher - Memory Transfer Learning Read on for more:

Who is running local models on GPUs on OpenClaw? I have started benchmarking different models this week. I am working on improving model selection and switching UX on OpenClaw, i.e. I run /model vllm/

This post documents a Wordle game result where the player solved puzzle #1,764 in three attempts, using the standard color-coded emoji system (black for incorrect letters, yellow for correct letters i

This post explains the technical details behind common terms and tools encountered on Hugging Face for running large language models locally, including quantization formats (GGUF, Q_4_M, IQ_4XL), opti

You should watch this. It just shows how disconnected we are from the small group of people making decisions that will impact our future heavily. These people have so much ai psychosis. If you listen

A downside with using VLMs to parse PDFs is guaranteeing that the output text is *correct* and output in the correct reading order. 1️⃣ Text correctness: making sure that digits, words, sentences are

Agentic Engineering Patterns > Here's an example of a deceptively short prompt that got a lot of work done in a single shot. First, some background. I send out a free Substack newsletter around once a

Stephanie Stacey / Financial Times: Airbnb launches a pilot in NYC, LA, and other cities that lets users to select from a range of boutique hotels alongside private homes in a bid to boost growth — Co

Anthropic shut down an entire company's Claude access overnight 60+ employees. No explanation. Just an email. Want to appeal? Fill out a Google Form. Integrations gone. Histories gone. Everything buil

Anthropic’s CEO keeps talking about AI wiping out jobs because he’s trying to IPO this year. If he positions Claude as armageddon for jobs, his TAM becomes “all white-collar human labor,” not just AI