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Meituan LongCat@Meituan_LongCatAI score16AIMeituan LongCat turns one natural-language prompt into a full CG animation sequence, covering code, motion, and rendering. The post is a short demonstration video with no further technical details on the model or its performance.
Meituan LongCat@Meituan_LongCatAI score13AIMeituan LongCat shared a demo that turns a text description into a rendered 3D planet, covering geometry, materials, lighting, and presentation. The post is a short video showcase and provides no model name, version, or benchmark figures.
Meituan LongCat@Meituan_LongCatAI score13AIMeituan LongCat says it has kept building with LongCat-2.0 since its release, showcasing five projects each generated from a single prompt. The examples span voxel art, 3D modeling, CG animation, a landing page, and a mini game.
Andrej Karpathy@karpathyAI score66AIAndrej Karpathy gave Claude Opus 5 the first paragraph of Lord of the Rings with a 1M token budget and asked for a Three.js render. Opus spent about two hours writing 5500 lines of code that procedurally renders the story, which Karpathy calls janky but fun. He notes the model struggled to audit its work because it cannot efficiently perceive video or play the resulting game, relying on slow screenshots that led to several errors.
AIMiniMax launches H3, a general-purpose multimodal generation model that understands text, images, video, and audio as unified context. It generates video up to 15 seconds at 2K resolution with native stereo sound, and the company says model weights will be opened in the coming days, subject to applicable laws and regulations. MiniMax also says H3 is priced below mainstream models at 2K and 768p.
Why it matters: The post explains how a unified multimodal design and training choices enable 2K video with native stereo sound, useful for comparing against closed video generators.
Soumith Chintala@soumithchintalaAI score57AIThinking Machines is releasing Inkling-Small, which it says achieves performance comparable to Inkling at a quarter of its size. The model has 276B total parameters with 12B active, and the full weights are available. Users can fine-tune it on Tinker or chat with it in text, image, and audio on Tinker Playground.
Mira Murati@miramuratiAI score62AIThinking Machines has released Inkling-Small, which the author says achieves performance comparable to Inkling at a quarter of its size. The model has 276B total parameters with 12B active, and its full weights are available, with fine-tuning on Tinker and chat in text, image, and audio on Tinker Playground.
Thinking Machines@thinkymachinesAI score43AIThinking Machines' new model is natively multimodal and encoder-free, processing audio and images jointly with text. It nearly matches Inkling across multimodal evaluations and can run Python to crop, zoom, and inspect images while reasoning over documents and charts.
AIGoogle is rolling out Lyria 3.5, its newest music generation model, in Google Flow Music today. The update improves musicality, lyric quality and prompt adherence, and vocal expressiveness and pronunciation, and gives users more control over tempo and duration.
Why it matters: The post names the specific capability changes and where users can access them, which helps readers judge fit for music creation workflows.
AIAlibaba NLP has released UEmbed-9B, a decoder-only multimodal embedding model built on Qwen3.5 9B that outputs both dense and SPLADE-style sparse embeddings from one forward pass. It supports text, image, video, and mixed-modal inputs for retrieval and multimodal search, and the family also includes 2B and 4B variants. The model is available on Hugging Face, with transformers and vLLM inference support.
AIAlibaba NLP has released UEmbed-4B, a decoder-only multimodal embedding model built on Qwen3.5 4B that outputs both dense and sparse embeddings from one forward pass. It handles text, image, video, and mixed-modal inputs for retrieval and visual-document search, and sparse activations map to vocabulary terms usable with inverted indexes. The model is available on Hugging Face in a family that also includes 2B and 9B variants.
AIAlibaba-NLP's UEmbed-2B, a decoder-only multimodal embedding model built on Qwen3.5 2B, produces both dense and SPLADE-style sparse embeddings from a single forward pass. It supports text, image, video, and mixed-modal inputs for retrieval, and the 4B and 9B variants are also available. The team reports state-of-the-art results on the text and agent tracks of MMEB-v3.
AIMiniMax released H3, an open-weights omni-modal model that generates video with native stereo audio up to 2K and 15 seconds. The system combines H3-Context-IR preprocessing, the H3-Base generator at 768p, and H3-Regenerate-2K for 2K output, with the Context-IR and 2K modules available only through API.
Why it matters: The source details a three-module pipeline and open weights with deployment paths, showing how a video model is served and reproduced locally.
Intern Large Models@intern_lmAI score62AIIntern Large Models introduces Visual Pretraining, a pretraining paradigm for foundation models that learns directly from visual documents. The post says it outperforms text-only pretraining across backbones and benchmarks, and links the arXiv paper 2607.09657 along with Intern-S2-Preview (35B) and Intern-S2-Preview-397B on Hugging Face, the latter presented as a multimodal foundation model trained with this recipe.
Kimi.ai@Kimi_MoonshotAI score46AIMoonshot AI's Kimi has released PerceptionBench, a benchmark that evaluates visual perception as atomic capabilities derived from frontier-model failures across 42 benchmarks. It contains 3,000 verified questions, each isolating a single capability and answerable by looking alone, without reasoning or external knowledge.
Meta@MetaAI score26AIUniversity of Pittsburgh researchers used Meta's SAM3 and DINO models to help build one of the most advanced wheelchairs in the world. The post provides no further technical details on performance or availability.
Kimi.ai@Kimi_MoonshotAI score38AIMoonshot AI's Kimi K3 is now available on DigitalOcean's Serverless Inference, letting developers start building in minutes. DigitalOcean describes K3 as supporting a 1M-token context, native vision, and multi-hour agentic tasks, and it is accessible through the Inference Router.
Lisa Su@LisaSuAI score20AIAMD CEO Lisa Su thanked Korean minister @msitminister for attending AMD's Advancing AI event and said the two sides expanded their partnership. She said the goal is to bring together technology, talent, and deep technical collaboration to advance an open and innovative AI ecosystem in Korea.
Kimi.ai@Kimi_MoonshotPickAI score86AIMoonshot AI is releasing the model weights and technical report for Kimi K3, a 2.8T-parameter MoE model with native visual understanding and a 1M-token context window. The post says the new architecture delivers 2.5x the intelligence per unit of compute, and the company is also opening high-performance attention kernels, an MoE communication library, and infrastructure for running agent environments at scale.
Why it matters: The source names the model size, context window, and released weights, which helps readers compare its scale and openness with other frontier releases.
AIBlack Forest Labs released FLUX 3, a multimodal model trained on images, video, and audio, and mimic built FLUX-mimic on its video backbone to control robots. In a soft-body kitting task, mimic reports a 95% success rate without single-task fine-tuning, compared with 55% for an adapted π0.5 model. FLUX 3 Video is in early access, with action prediction offered to selected partners and an open-weight backbone planned.
Midjourney@midjourneyAI score60AIMidjourney is releasing V8.2 today and making it the default model on the platform. The release focuses on aesthetics, personalization, and image quality, with a bolder and more creative new style. The post's two image pairs compare earlier outputs with the new style.
Noah Zweben@noahzwebenAI score20AIAnthropic's Noah Zweben asked "Is this AGI?" in a post about a Rocket League clone reportedly built by Opus 5. The quoted post credits Opus 5 with building a game and 3D model that it calls the best it has seen, using 27% of a 5x Max subscription.
AIEthan Mollick's guide says ChatGPT and Claude are the main choices for real work, since their agent modes can act on a computer. He separates agent modes that run on the company's computers from those that access the user's own computer. He recommends keeping approval settings on for sending, spending, or deleting, because of prompt injection risk. He also notes that Gemini currently lags for agentic work, though its Notebook and video tools are useful.
Skywork@Skywork_aiAI score6AISkywork (@Skywork_ai) posted a story created with Skywork Video and linked to the product's sign-up page. A quoted post from @ivnways says the tool gives users more control over AI video output than typing a prompt and hoping for a useful result.
Andrej Karpathy@karpathyAI score30AIAndrej Karpathy describes using /voice to ramble for about 10 minutes, sometimes as a short interview, to give an LLM context that would be tedious to type. He says LLMs reconstruct these messy streams of thought remarkably well, often returning a cleaner version than the speaker started with, which improves shared understanding and reduces later corrections.
Fei-Fei Li@drfeifeiAI score33AIFei-Fei Li announced that SceniX is joining World Labs. She framed spatial intelligence as more than perceiving and generating worlds, emphasizing interaction with them.
koray kavukcuoglu@koraykvPickAI score72AIGoogle introduces Gemini 3.6 Flash as its workhorse model, with better coding, knowledge work, and multimodal performance while reducing token usage. It also launches Gemini 3.5 Flash-Lite, described as the fastest and most cost-effective 3.5-class model for high-throughput applications, and 3.5 Flash Cyber, a version of 3.5 Flash fine-tuned to find and fix cybersecurity vulnerabilities.
Why it matters: The post lists three distinct models, each aimed at a different job, so readers can map which one fits coding, high-volume, or security workloads.
Skywork@Skywork_aiAI score8AISkywork has upgraded Skywork Posters, letting users create one poster and adapt it into ready-to-publish assets for any size and social platform in one click. The main post promotes the feature as a way to turn a single poster idea into multiple formats without manual resizing.
AIAt RAAIS, DeepMind VP of Research Raia Hadsell argued that the field focuses too much on language and should apply large-model training to worlds, robots, biology, and weather. The article cites DeepMind's DiffusionGemma, a 26-billion-parameter open text model that generates blocks by denoising rather than one token at a time, and the Genie-3 world model, which runs in real time for several minutes. It also describes world models as a source of synthetic training data for robots.
Soumith Chintala@soumithchintalaAI score60AIMoonshot AI announced Kimi K3, a native multimodal model with 2.8 trillion parameters and a 1 million token context window. The announcement cites up to 6.3x faster decoding in million-token contexts and about 25% higher training efficiency, and says open weights arrive by July 27, 2026. The author, Soumith Chintala, reposted it with a brief note of congratulations.
AIMistral AI released Shieldstral-1.0-3B, a 3B-parameter multimodal safety classifier that judges content against natural-language policies and outputs a continuous safety score. It moderates text, image, and text-plus-image content in a single forward pass and can be retargeted to new policies at inference time without retraining. The Apache 2.0 open-weight model is built on Ministral-3-3B-Base-2512 and trained on sequences up to 32k tokens.
Junyang Lin@JustinLin610AI score42AIJunyang Lin praised Thinking Machines' new architecture in Inkling, which reasons across text, image, and audio, and asked whether the small model is open-sourced. The quoted announcement says the full weights are available and that Inkling is available for fine-tuning on Tinker.
AISable has created "Aidan," an AI employee that leads customer calls using vision, voice, video and real-time browser interaction. Frontier companies including Notion and Decagon are already using Sable to explain their products, and more than 150 companies are on its waitlist. Sequoia Capital led Sable's seed round and co-led its Series A.
Leandro von Werra@lvwerraAI score42AIThinking Machines has introduced Inkling, a model that reasons across text, image, and audio, with full weights made available. It is available for fine-tuning on Tinker and can be tried in the Inkling Playground. Hugging Face's Leandro von Werra praised the release for its grounded writing, interesting details, and strong ecosystem integration.
Lilian Weng@lilianwengAI score62AIThinking Machines has introduced Inkling, an open-weights model that reasons across text, image, and audio, with full weights made available. The model is available today for fine-tuning on Tinker, and the company also offers an Inkling Playground for trying it out. The author describes Inkling as a foundation model intended for broad capabilities in practical use and customization.
John Schulman@johnschulman2PickAI score75AIThinking Machines introduced Inkling, a model that reasons across text, image, and audio, and is making its full weights available. It is available today for fine-tuning on Tinker and can be tried in the Inkling Playground. John Schulman says pretraining began last winter and a small team added coding, reasoning, and agentic training starting in mid-January.
Why it matters: The post links an open-weights release to a stated training timeline, showing how a small team moved from pretraining to coding, reasoning, and agentic training.
Soumith Chintala@soumithchintalaAI score71AIThinking Machines introduced Inkling, an open-weight model with 975B parameters that reasons across text, image, and audio. The full weights are available, with fine-tuning on Tinker and access through the Inkling Playground and Hugging Face and partners.
Mira Murati@miramuratiAI score62AIMira Murati announced Inkling, the first model from Thinking Machines, trained from scratch with its full weights made available. The model reasons across text, image, and audio, and is available today for fine-tuning on Tinker and testing in the Inkling Playground.
Thinking Machines@thinkymachinesAI score48AIThinking Machines has released Inkling, a model that natively understands and reasons across text, audio, and images. It is particularly strong on audio, ranking among the top open-weights models on VoiceBench, MMAU, and AudioMC.
Jason Wei@_jasonweiAI score36AIOn Radiology's Last Exam, Meta's Muse Spark 1.1 outperforms OpenAI's GPT-5.6 Sol and Gemini 3.1, but still trails Fable and human experts. The result comes from a post by Jason Wei, with the benchmark context coming from a separate post about RadLE 2.0, an uncertainty-aware radiology diagnosis benchmark.