Updated
Updated
Showing low-relevance items too. Hide low-relevance items
Nathan Lambert@natolambertAI score62AIMistral has announced Mistral Large 4, a natively multimodal model with 1T total parameters and 49B active parameters. The company says it is the best open-weights model from the US or Europe on aggregated benchmarks, and that it is available via API today, with open weights due at the end of October.
AIMistral AI's Mistral Large 4 is listed on OpenRouter as a frontier multimodal model accepting text and image input. The listing says it is built for reasoning, coding, and agentic workloads and offers a 1M-token context window. The feed excerpt is truncated, so further details such as pricing or availability are not confirmed here.
Julien Chaumond@julien_cPickAI score70AIJulien Chaumond reposted Mistral's announcement of Mistral Large 4, a 1T-parameter natively multimodal model with 49B active parameters. Mistral says it is available via API today, with open weights scheduled for release at the end of October, and is working privately with cybersecurity partners.
Why it matters: The post lays out Mistral Large 4's scale, multimodal design, and availability timeline, which helps readers gauge the open-weights landscape outside China.
Arthur Mensch@arthurmenschAI score48AIArthur Mensch says Mistral trained its model on its own compute, and reinforcement learning shows no sign of saturating. The post accompanies Mistral's announcement of Mistral Large 4, a 1T-parameter natively multimodal model with 49B active parameters, available via API today and with open weights planned for end of October.
Guillaume Lample @ NeurIPS 2024@GuillaumeLampleAI score42AIMistral's ML4 model matches the best open-weight models on DeepSWE, AutomationBench, and AA-Briefcase, and reaches state-of-the-art results on finance and legal workflows and complex multimodal grounding benchmarks. The post says it can navigate terminal workflows, work across spreadsheets, slides, and PDFs, and reason over scientific and multimodal tasks.
Guillaume Lample @ NeurIPS 2024@GuillaumeLamplePickAI score78AIMistral has launched a preview of Mistral Large 4 (ML4), a 1T-parameter multimodal model with 49B active parameters. The company says it is the strongest open-weight model from the US or Europe on aggregated benchmarks and is available via API now, with open weights planned for the end of October.
Why it matters: The post gives parameter counts, a preview timeline, and an open-weights release date, which help readers judge how Mistral's model compares with other open-weight options.
Mistral AI@MistralAIAI score62AIMistral AI introduced Mistral Large 4, a natively multimodal model with 1T parameters and 49B active parameters. The company says it is the best open-weights model from the US or Europe on aggregated benchmarks and is available via API today, with open weights due at the end of October.
AIMistral AI launched a public preview API for Mistral Large 4, a 1 trillion-parameter natively multimodal model with 52 billion active parameters, and says it will release the weights by the end of the month. The company reports 61.7% on DeepSWE v1.1, 59.4% on SWE-Atlas-QnA, 28.3% on Terminal-Bench 4, and 59.9% on AutomationBench. The model was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's datacenters in Europe.
Why it matters: The post gives benchmark figures and a weights timeline for an open-weight model, letting readers compare it with other open models and judge its access terms.
AIHuawei's Mate 90 Pro Max, launched October 1, starts at 9,499 yuan for the 12GB+512GB model, and the Collector's Edition starts at 10,999 yuan. The phone's main upgrade is its camera, including a new "Portrait Original" mode that preserves skin tone and makeup, a 200-megapixel telephoto lens with about 4x optical zoom, and generative-AI glare removal for night shots.
vLLM@vllm_projectAI score47AIvLLM-Omni now supports Kandinsky 6.0 Video from launch day, with inference ready at release. Kandinsky 6.0 Video generates 5-second clips with synchronized audio and lip-sync from text or image inputs. Kandinsky's code and checkpoints are released under the MIT license, with Lite (3B) and Pro (29B) variants.
AIThe guide offers a prompt structure for cyberpunk visuals built from subject, environment, lighting, camera, style, and quality modifiers, with magenta and cyan neon, rain-slicked reflections, and fog named as key mood elements. It presents 15 ready-to-use prompts and argues that free tools suit testing directions, while full access is needed for commercial campaigns.
AIGoogle released EmbeddingGemma 2, an open embedding model under the Apache 2.0 license that maps text, code, images, video, and audio into a shared 768-dimensional space. Developers can load a 270M-parameter text and code setup, or add vision and audio encoders up to a 740M-parameter full multimodal model. Matryoshka truncation to 256 or 128 dimensions reduces vector storage, with the guide noting quality losses on image, video, and speech retrieval at lower dimensions.
Why it matters: The guide gives concrete encoder sizes and dimension-storage tradeoffs, showing how to choose a configuration for text, code, image, video, and audio retrieval.
AIGoogle DeepMind launched EmbeddingGemma 2, an open-weight 740M parameter model that maps text, images, video frames, and audio into one vector space. The model can run on-device, with about 567MB active RAM for the full multimodal model on a Google Pixel 11 Pro, and is available through Google AI Edge Gallery, Google AI Edge Foresight on Mac, and MediaPipe Tasks, with ML Kit support coming in the weeks ahead.
Why it matters: The post names concrete on-device apps, memory footprints, and latency figures, showing how a multimodal embedding model can power local search without cloud calls.
Georgi Gerganov@ggerganovAI score36AIThe llama.cpp v0.6.0 release adds Clef support for text and vision, along with high-quality support for Qwen3.8-Flash-Next. It also brings a major Metal performance improvement and a new llama_batch_ext API, and the project website at llama.app has been refreshed.
Liquid AI@liquidaiAI score24AILiquid AI's d1 picks the next move by reading game screenshots, without text versions of the board. In Tetris, adding the screen raised cleared lines from 70 to 81, and in Wordle it solved 12/12 games in an average of 3.8 guesses.
Liquid AI@liquidaiAI score37AILiquid AI released d1 with vision support, accepting images, text, or both as inputs. In tests on six real applications, d1 matched or beat GPT-6.1 Sol on four while costing 19x to 200x less than both GPT-6.1 Sol and Claude Opus 5.5. It returns probabilities for yes/no, choice, or score questions in one forward pass, with text decisions in 200 to 300 ms.
Liquid AI@liquidaiAI score36AILiquid AI's vision-enabled decision model d1 inspects parts directly from camera images and is described as the best such model currently on the market. It reaches 85% to 97% accuracy across four VisA inspection tasks covering circuit boards, candles, cashews, and chewing gum. It understands each task from a short description without task-specific training.
AILiquidAI has released d1-omni-600M on Hugging Face, a 587M-parameter model that answers named yes/no, choice and score questions over text, images or up to 30 seconds of speech in a single forward pass. It returns typed answers with zero output tokens by reading the model's distribution over options, and is built on LFM2.5-Encoder-350M with a 16,384-token context length. The model is not a chat model and does not generate text.
Google Workspace@GoogleWorkspaceAI score17AIGoogle Keep has new conversational voice features that use Gemini to turn voice notes into organized action items. The features are available now to Google AI Ultra and Pro subscribers.
SenseTime@SenseTime_AIAI score9AISenseTime says its SenseNova 6.8 Flash Preview powers Dynamic Design, which turns static images into animated visuals. The post frames the feature as vibe coding for a dog-themed demo, showing a playful application of the model.
AILiquid AI has released d1-3B, a 3B parameter multimodal model post-trained to return calibrated, typed answers to yes/no, choice, and score questions in one forward pass. The source reports a Decision Index 0.2.1 score of 48.57, the highest among models under 10B in its table, and 8 ms per decision on an NVIDIA RTX 4090.
Why it matters: The source gives benchmark scores against named peer models and edge latency figures across several hardware targets, helping readers judge fit for on-device decision pipelines.
AISwedish bearing maker SKF has used AI to recreate Hollywood star Greta Garbo, who died in 1990, in an advertisement. The AI-generated figure says it returns for one final work, with its image built from text prompts and its voice trained on audio from one of Garbo's early films. SKF said the project was approved by Garbo's estate and family.
AILiquid AI introduces d1, its first decision model, now accepting both text and images. The company says d1 matches or beats GPT-6.1 Sol on four of six tested applications, at 19x to 200x lower cost and with faster answers on every task. d1 is available on the Liquid AI API and through Vercel and OpenRouter, with text-only support on those two platforms for now.
Why it matters: The post gives benchmark comparisons against named models along with per-token pricing and latency figures, which makes the cost and speed tradeoff checkable.
Boris Power@BorisMPowerAI score40AIBoris Power says GPT-6 can work autonomously on 3D design for hours while its results keep improving, a gap other models failed to match because they could not recover from mistakes. Design Arena reports GPT-6 Astra took #1 on four leaderboards, including 3D Design at 1484 and Frontend at 1397, a month after release.
Design Arena@DesignArenaAI score22AIOpenAI's Astra can use 3D design when generating websites, as shown by a scroll-based movement demo. The post, from Design Arena, includes a video of the scroll-based effect but gives no further details.
Design Arena@DesignArenaAI score22AIDesign Arena highlights that OpenAI's GPT-6 Astra produces exceptional 3D human faces, with realistic skin texturing and slight clay-like imperfections. The post shares example images to illustrate the output quality.
Aravind Srinivas@AravSrinivasAI score40AIPerplexity's Computer can build custom vertical AI apps, such as one that guesses an image's location using 3D and satellite views. The example app was built with the Perplexity SDK for web search, local place lookups, and visual clue extraction, and it uses Cesium for the 3D globe and satellite imagery.
Kling AI@Kling_aiAI score36AIKling AI shares behind-the-scenes details of its short film "The Beat," which has passed 5 million impressions across social platforms. The post says the film used Kling 4.0 features including a 30-second continuous shot, Omni Reference supporting up to 15 multi-modal references, Multi-Keyframe control for up to 10 keyframes, and 10-bit HDR output.
Cohere@cohereAI score55AIAleph Alpha has released Kolibri, a model with 78B total parameters, 3.46B active, and up to 1M tokens of context, under Apache 2.0. The quoted post says the weights can be run on the user's own hardware. Cohere's own post is a short endorsement of the release.
Felix Rieseberg@felixriesebergAI score12AIFelix Rieseberg, who posts from Anthropic's account, says this is his favorite Claude music video so far. He prefers Claude as a human-directed tool for making art rather than generating art unattended, though he enjoyed this one, which he calls a little meta.
Cohere@cohereAI score22AICohere evaluated North Small Translate on WMT26 benchmarks, which were released after the model was created, so the model could not have been trained on them. This timing is presented as a safeguard against training contamination in the reported measurements.
Cohere@cohereAI score22AICohere reports that after the first training step, its model could already translate over 90% of the training documents, which created a data problem. Kocmi describes how the most difficult samples were used to strengthen North Small Translate's capabilities. This post is part 3 of a six-part thread.
Aidan Gomez@aidangomezAI score46AIAlephAlpha has released Kolibri, a German-English model with 78B total parameters, 3.46B active, and context up to 1M tokens. The weights are available under Apache 2.0 for running on users' own hardware. Cohere's Aidan Gomez congratulated the team on the model and its detailed technical report.
Pika@pika_labsAI score4
Google Flow@FlowbyGoogleAI score10AIGoogle Flow says users can create explainer videos and ads for a pet, product, or everyday object by first building a storyboard with an agent. The agent then prompts Gemini Omni to generate each scene.
SGLang@sgl_projectAI score28AISGLang demonstrated Qwen3.8-27B as a multimodal decision model that beat Pokémon FireRed's Elite Four and champion with sub-100 ms decisions from live game state. The company says its native /v1/decisions API lets LLMs and VLMs be used for classification and scoring. It also announced /v1/systemone for running Jev-like open models with the TypeSafe SDK.
fal@falAI score38AIfal says H3 Max Reference-to-Video now supports first, middle, and last frame control. Users can set keyframes, choose when the middle frame appears, and add image or video references to guide the scene.
eric zakariasson@ericzakariassonAI score47AIxAI has released an experimental TypeScript SDK, installable via npm install @xai-official/sdk, that covers text, voice, image, and video in one package. It provides access to the latest Grok models along with server-side tools including real-time X search, web search, code execution, and remote MCP.
AIGoogle's September 2026 roundup highlights Gemini 4 Argon, a frontier model with a 1-million-token output limit aimed at complex tasks such as cybersecurity defense. Argon is rolling out first to trusted cyber defenders through the Fairwind Program, with developer, enterprise, and consumer access to follow after guardrail feedback. The post also covers Gemini 3.8 Flash, Connected Apps in Gemini, and WeatherNext 3.
MiniMax Design (H3)@Hailuo_AIAI score7AIHailuo AI, owned by MiniMax, posted a short film exploring "sonder," the realization that every stranger lives a life we cannot fully know. The film blends cities, crowds, animals, plants, and surreal creatures to ask how "the other" might exist within nonhuman and hybrid forms of life. The post was tagged #minimaxh3, #minimaxdesign, #surrealism, and #collage.