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Company: "ostrisai"
not much happened today
qwen-image-edit qwen-vl-max kling-2.1 veo-3 deepseek-v3.1 genie-3 sima google-deepmind alibaba google deepseek baseten yupp multimodality embodied-ai simulation fine-tuning quantization video-generation image-generation local-inference scaling agent-training real-time-control spatial-memory demishassabis bonniesjli shreyar ostrisai lmarena_ai teortaxestex ivanfioravanti
DeepMind released Genie 3, an interactive multimodal world simulator with advanced spatial memory and real-time avatar control, and SIMA, an embodied training agent operating inside generated worlds. Alibaba introduced Qwen-Image-Edit, an open-weights image editor scoring ELO 1098 (#2) in the Image Editing Arena, running on Qualcomm NPUs, alongside Qwen-VL-Max entering the Vision top-20. Video models like Kling 2.1 showed a 235% improvement in frame control, with new entrants Luma Ray 2 and Runway Gen-4 Turbo debuting. Google provided free Veo 3 generations in Gemini App and enhanced Google Photos with natural-language edits. DeepSeek v3.1 launched with focus on SWE and Search agents, supporting local inference on Apple Silicon with 4-bit quantization achieving ~21 tok/s on M3 Ultra. The news highlights advances in interactive simulation, vision editing, video synthesis, and scalable local AI inference.
Databricks' $100B Series K
deepseek-v3.1-base deepseek-v3.1-instruct chatgpt-go qwen-image-edit databricks openai deepseek hugging-face alibaba model-release benchmarking pricing-models fine-tuning model-architecture image-editing video-generation api agentic-ai sama nickaturley kevinweil gdb sherwinwu nptacek reach_vb clementdelangue teortaxestex quixiai georgejrjrjr scaling01 alibaba_qwen linoy_tsaban ostrisai lmarena_ai
Databricks reached a $100 billion valuation, becoming a centicorn with new Data (Lakebase) and AI (Agent Bricks) products. OpenAI launched ChatGPT Go in India at ₹399/month (~$4.55), offering significantly increased usage limits and UPI payment support, with plans for global expansion. The DeepSeek V3.1 Base/Instruct models were quietly released on Hugging Face, showing strong coding benchmark performance and adopting an Anthropic-style hybrid system. The Qwen-Image-Edit model from Alibaba is gaining traction with integrations and community pruning experiments. "DeepSeek V3.1 Base outperforms Claude 4 Opus on coding benchmarks" and "ChatGPT Go offers 10x higher message limits and 2x longer memory" highlight key advancements.
Figma's $50+b IPO
horizon-alpha gpt-5 gemini-2.5-pro qwen3-coder qwen3-coder-flash-30b-a3b command-a-vision gpt-4.1 llama-4-maverick flux-1-krea-dev glm-4.5 voxtral openai openrouter alibaba unslothai cohere huggingface black-forest-labs diffusers ostrisai zhipu-ai together-ai mistral-ai reasoning svg-generation agentic-ai context-windows vision fine-tuning inference-time-training model-generalization open-models technical-reports scaling01 teortaxestex huybery nickfrosst aidangomez reach_vb zai_org corbtt jxmnop teknuim1
OpenAI's stealth model horizon-alpha on OpenRouter sparks speculation as a precursor to GPT-5, showing strong reasoning and SVG generation capabilities, comparable to Gemini 2.5 Pro. Alibaba released the Qwen3-Coder family, including a fast Qwen3-Coder-Flash (30B-A3B) variant with agentic features and 1M context length support via UnslothAI. Cohere launched Command A Vision, a 111B parameter open-weights vision-language model outperforming GPT-4.1 and Llama 4 Maverick on enterprise benchmarks. Black Forest Labs introduced FLUX.1 Krea [dev], an open-weights photorealism model compatible with fine-tuning tools like diffusers and ostrisai. Zhipu AI unveiled GLM-4.5, a hybrid reasoning open model with agentic capabilities available on Together AI. Discussions highlight the rising importance of inference-time training and reasoning model generalization. Mistral AI released the technical report for Voxtral continuing its open science efforts.
not much happened today
glm-4.5 glm-4.5-air qwen3-coder qwen3-235b kimi-k2 grok-imagine wan-2.2 smollm3 figure-01 figure-02 vitpose++ chatgpt zhipu-ai alibaba moonshot-ai x-ai figure openai runway mlx ollama deeplearningai model-releases model-performance moe image-generation video-generation pose-estimation robotics training-code-release interactive-learning in-context-learning yuchenj_uw corbtt reach_vb ollama deeplearningai gdb sama c_valenzuelab adcock_brett skalskip92 loubnabenallal1 hojonathanho ostrisai
Chinese AI labs have released powerful open-source models like GLM-4.5 and GLM-4.5-Air from Zhipu AI, Qwen3 Coder and Qwen3-235B from Alibaba, and Kimi K2 from Moonshot AI, highlighting a surge in permissively licensed models. Zhipu AI's GLM-4.5 is a 355B parameter MoE model competitive with Claude 4 Opus and Gemini 2.5 Pro. Alibaba's Qwen3 Coder shows strong code generation performance with a low edit failure rate, while Moonshot AI's Kimi K2 is a 1 trillion-parameter MoE model surpassing benchmarks like LiveCodeBench. In video and image generation, xAI launched Grok Imagine, and Wan2.2 impressed with innovative image-to-video generation. Robotics advances include Figure's Figure-01 and Figure-02 humanoid robots and ViTPose++ for pose estimation in basketball analysis. SmolLM3 training and evaluation code was fully released under Apache 2.0. OpenAI introduced Study Mode in ChatGPT to enhance interactive learning, and Runway rolled out Runway Aleph, a new in-context video model for multi-task visual generation. The community notes a competitive disadvantage for organizations avoiding these Chinese open-source models. "Orgs avoiding these models are at a significant competitive disadvantage," noted by @corbtt.
not much happened today
glm-4.5 glm-4.5-air qwen3-coder qwen3-235b kimi-k2 wan-2.2 grok-imagine smollm3 figure-01 figure-02 vitpose++ zhipu-ai alibaba moonshot-ai x-ai ideogram figure smollm openai model-releases moe model-benchmarking image-generation video-generation pose-estimation robotics training-code-release apache-license yuchenj_uw corbtt cline reach_vb ollama deeplearningai ostrisai hojonathanho adcock_brett skalskip92 loubnabenallal1
Chinese labs have released a wave of powerful, permissively licensed models in July, including Zhipu AI's GLM-4.5 and GLM-4.5-Air, Alibaba's Qwen3 Coder and Qwen3-235B, and Moonshot AI's Kimi K2. These models feature large-scale Mixture of Experts architectures with active parameters ranging from 3B to 32B and context windows up to 256K tokens. Zhipu AI's GLM-4.5 competes with Claude 4 Opus and Gemini 2.5 Pro in benchmarks. Moonshot AI's Kimi K2 is a 1 trillion-parameter MoE model surpassing other open-weight models on LiveCodeBench and AceBench. In video and image generation, xAI launched Grok Imagine, and Wan2.2 impressed with its Image-to-Video approach. Ideogram released a character consistency model. Robotics advances include Figure's Figure-01 and Figure-02 humanoid robots and ViTPose++ for pose estimation in basketball analysis. The SmolLM3 training and evaluation code was fully released under an Apache 2.0 license. "Orgs avoiding these Chinese open-source models are at a significant competitive disadvantage," noted by @corbtt.
not much happened today
llama-3.1-nemotron-70b golden-gate-claude embed-3 liquid-ai anthropic cohere openai meta-ai-fair nvidia perplexity-ai langchain kestra ostrisai llamaindex feature-steering social-bias multimodality model-optimization workflow-orchestration inference-speed event-driven-workflows knowledge-backed-agents economic-impact ai-national-security trust-dynamics sam-altman lmarena_ai aravsrinivas svpino richardmcngo ajeya_cotra tamaybes danhendrycks jerryjliu0
Liquid AI held a launch event introducing new foundation models. Anthropic shared follow-up research on social bias and feature steering with their "Golden Gate Claude" feature. Cohere released multimodal Embed 3 embeddings models following Aya Expanse. There was misinformation about GPT-5/Orion debunked by Sam Altman. Meta AI FAIR announced Open Materials 2024 with new models and datasets for inorganic materials discovery using the EquiformerV2 architecture. Anthropic AI demonstrated feature steering to balance social bias and model capabilities. NVIDIA's Llama-3.1-Nemotron-70B ranked highly on the Arena leaderboard with style control. Perplexity AI expanded to 100M weekly queries with new finance and reasoning modes. LangChain emphasized real application integration with interactive frame interpolation. Kestra highlighted scalable event-driven workflows with open-source YAML-based orchestration. OpenFLUX optimized inference speed by doubling it through guidance LoRA training. Discussions on AI safety included trust dynamics between humans and AI, economic impacts of AI automation, and the White House AI National Security memo addressing cyber and biological risks. LlamaIndex showcased knowledge-backed agents for enhanced AI applications.