All tags
Topic: "ai-infrastructure"
Western Open Models get Funding: Cohere $500m @ 6.8B, AI2 gets $152m NSF+NVIDIA grants
gpt-5 o3 command-a gemma-3-270m imagen-4 dinov3 openai perplexity-ai ai2 nvidia cohere meta-ai-fair google hugging-face ollama unsloth model-speed funding ai-infrastructure on-device-ai quantization embedding-models image-generation self-supervised-learning vision dense-prediction benchmarking instruction-following model-optimization model-release challenge joelle_pineau fchollet awnihannun _philschmid osanseviero
OpenAI's GPT-5 achieved a speedrun of Pokemon Red 3x faster than o3. Perplexity raised $200M at a $20B valuation. AI2 secured $75M NSF grants and $77M from NVIDIA for AI infrastructure projects like Olmo and Molmo. Cohere raised $500M and hired Joelle Pineau from meta-ai-fair, boosting models like Command A. Google released the Gemma 3 270M on-device tiny LLM with INT4 QAT checkpoints and large embedding tables, and made Imagen 4 generally available with a fast version at $0.02/image. Meta-ai-fair introduced DINOv3, a family of self-supervised vision foundation models with high-resolution dense features and strong performance on benchmarks like COCO detection and ADE20K segmentation, under a permissive license. A $150,000 MiniMax AI Agent Challenge is ongoing with 200+ prizes, encouraging AI project builds by August 25.
not much happened today
gpt-4o deepseek-v3 claude-3.7-sonnet o3-mini gemini-2.5-pro openai deepseek anthropic google-deepmind togethercompute hypertecgroup coreweave cursor-ai windsurf-ai coding instruction-following image-generation policy-compliance long-context audio-processing video-processing gpu-clusters ai-infrastructure api-access sama kevinweil joannejang nrehiew_ giffmana _philschmid scaling01 saranormous
GPT-4o was praised for its improved coding, instruction following, and freedom, becoming the leading non-reasoning coding model surpassing DeepSeek V3 and Claude 3.7 Sonnet in coding benchmarks, though it still lags behind reasoning models like o3-mini. Concerns about policy compliance in image generation were noted, with efforts to improve adherence. Gemini 2.5 Pro was highlighted for its advanced audio and video understanding, long context capabilities, and integration with platforms like Cursor AI and Windsurf AI. AI infrastructure developments include a partnership between Together AI and Hypertec Group to deliver large-scale GPU clusters, and CoreWeave's IPO was celebrated for advancing AI infrastructure. GPU and TPU usage is expected to increase significantly. "GPT-4o's transparency and background generation feature" and "Gemini 2.5 Pro scored above 50% on Simple-Bench AI Explanation" were key highlights.
DeepMind SIMA: one AI, 9 games, 600 tasks, vision+language ONLY
llama-3 claude-3-opus claude-3 gpt-3.5-turbo deepmind cognition-labs deepgram modal-labs meta-ai-fair anthropic multimodality transformer software-engineering ai-agents ai-infrastructure training text-to-speech speech-to-text real-time-processing model-architecture benchmarking andrej-karpathy arav-srinivas francois-chollet yann-lecun soumith-chintala john-carmack
DeepMind SIMA is a generalist AI agent for 3D virtual environments evaluated on 600 tasks across 9 games using only screengrabs and natural language instructions, achieving 34% success compared to humans' 60%. The model uses a multimodal Transformer architecture. Andrej Karpathy outlines AI autonomy progression in software engineering, while Arav Srinivas praises Cognition Labs' AI agent demo. François Chollet expresses skepticism about automating software engineering fully. Yann LeCun suggests moving away from generative models and reinforcement learning towards human-level AI. Meta's Llama-3 training infrastructure with 24k H100 Cluster Pods is shared by Soumith Chintala and Yann LeCun. Deepgram's Aura offers low-latency speech APIs, and Modal Labs' Devin AI demonstrates document navigation and interaction with ComfyUI. Memes and humor circulate in the AI community.