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Oracle jumps +36% in a day after winning $300B OpenAI contract
qwen3-235b qwen3-4b qwen2.5-7b vllm oracle openai microsoft moonshot-ai vllm-project thinking-machines-lab meta reinforcement-learning model-weight-updates deterministic-inference benchmarking long-context model-optimization cuda distributed-training kimi_moonshot arankomatsuzaki qgallouedec cHHillee woosuk_k stasbekman
Oracle's OCI division reported a stunning +359% revenue bookings growth to $455B with cloud revenue guidance of $144B by 2030, driven significantly by a large deal with OpenAI amid tensions with Microsoft. On AI infrastructure, Moonshot AI released Kimi’s checkpoint-engine, enabling rapid weight updates on 1T-parameter models across thousands of GPUs, integrating with vLLM. RLFactory introduced a plug-and-play reinforcement learning framework for tool-using agents, showing smaller models outperforming larger ones. TRL v0.23 added context parallelism for long-context training. Thinking Machines Lab published research on deterministic inference pipelines, making vLLM deterministic for Qwen models. Meta launched BackendBench, a PyTorch benchmarking tool.
not much happened today
prime gpt-4o qwen-32b olmo openai qwen cerebras-systems langchain vercel swaggo gin echo reasoning chain-of-thought math coding optimization performance image-processing software-development agent-frameworks version-control security robotics hardware-optimization medical-ai financial-ai architecture akhaliq jason-wei vikhyatk awnihannun arohan tom-doerr hendrikbgr jerryjliu0 adcock-brett shuchaobi stasbekman reach-vb virattt andrew-n-carr
Olmo 2 released a detailed tech report showcasing full pre, mid, and post-training details for a frontier fully open model. PRIME, an open-source reasoning solution, achieved 26.7% pass@1, surpassing GPT-4o in benchmarks. Performance improvements include Qwen 32B (4-bit) generating at >40 tokens/sec on an M4 Max and libvips being 25x faster than Pillow for image resizing. New tools like Swaggo/swag for Swagger 2.0 documentation, Jujutsu (jj) Git-compatible VCS, and Portspoof security tool were introduced. Robotics advances include a weapon detection system with a meters-wide field of view and faster frame rates. Hardware benchmarks compared H100 and MI300x accelerators. Applications span medical error detection using PRIME and a financial AI agent integrating LangChainAI and Vercel AI SDK. Architectural insights suggest the need for breakthroughs similar to SSMs or RNNs.
not much happened today
llama-3-2-vision gpt-2 meta-ai-fair ollama amd llamaindex gemini gitpod togethercompute langchainai weights-biases stanfordnlp deeplearningai model-scaling neural-networks multi-gpu-support skip-connections transformers healthcare-ai automated-recruitment zero-trust-security small-language-models numerical-processing chain-of-thought optical-character-recognition multi-agent-systems agent-memory interactive-language-learning bindureddy fstichler stasbekman jxmnop bindureddy omarsar0 giffmana rajammanabrolu
This week in AI news highlights Ollama 0.4 supporting Meta's Llama 3.2 Vision models (11B and 90B), with applications like handwriting recognition. Self-Consistency Preference Optimization (ScPO) was introduced to improve model consistency without human labels. Discussions on model scaling, neural networks resurgence, and AMD's multi-GPU bandwidth challenges were noted. The importance of skip connections in Transformers was emphasized. In healthcare, less regulation plus AI could revolutionize disease treatment and aging. Tools like LlamaParse and Gemini aid automated resume insights. Gitpod Flex demonstrated zero-trust architecture for secure development environments. Research includes surveys on Small Language Models (SLMs), number understanding in LLMs, and DTrOCR using a GPT-2 decoder for OCR. Multi-agent systems in prediction markets were discussed by TogetherCompute and LangChainAI. Community events include NeurIPS Happy Hour, NLP seminars, and courses on Agent Memory with LLMs as operating systems.
not much happened today
smollm2 llama-3-2 stable-diffusion-3.5 claude-3.5-sonnet gemini openai anthropic google meta-ai-fair suno-ai perplexity-ai on-device-ai model-performance robotics multimodality ai-regulation model-releases natural-language-processing prompt-engineering agentic-ai ai-application model-optimization sam-altman akhaliq arav-srinivas labenz loubnabenallal1 alexalbert fchollet stasbekman svpino rohanpaul_ai hamelhusain
ChatGPT Search was launched by Sam Altman, who called it his favorite feature since ChatGPT's original launch, doubling his usage. Comparisons were made between ChatGPT Search and Perplexity with improvements noted in Perplexity's web navigation. Google introduced a "Grounding" feature in the Gemini API & AI Studio enabling Gemini models to access real-time web information. Despite Gemini's leaderboard performance, developer adoption lags behind OpenAI and Anthropic. SmolLM2, a new small, powerful on-device language model, outperforms Meta's Llama 3.2 1B. A Claude desktop app was released for Mac and Windows. Meta AI announced robotics advancements including Meta Sparsh, Meta Digit 360, and Meta Digit Plexus. Stable Diffusion 3.5 Medium, a 2B parameter model with a permissive license, was released. Insights on AGI development suggest initial inferiority but rapid improvement. Anthropic advocates for early targeted AI regulation. Discussions on ML specialization predict training will concentrate among few companies, while inference becomes commoditized. New AI tools include Suno AI Personas for music creation, PromptQL for natural language querying over data, and Agent S for desktop task automation. Humor was shared about Python environment upgrades.
not much happened this weekend
claude-3.5-sonnet llama-3 llama-3-8b notebookllama min-omni-2 moondream openai anthropic hugging-face mistral-ai google-deepmind langchain deepmind microsoft pattern-recognition reinforcement-learning prompt-optimization text-to-speech model-optimization tensor-parallelism hyperparameters multimodal modal-alignment multimodal-fine-tuning ai-productivity privacy generative-ai rag retrieval-augmentation enterprise-text-to-sql amanda-askell philschmid stasbekman francois-fleuret mervenoyann reach_vb dzhng aravsrinivas sama lateinteraction andrew-y-ng bindureddy jerryjliu0
Moondream, a 1.6b vision language model, secured seed funding, highlighting a trend in moon-themed tiny models alongside Moonshine (27-61m ASR model). Claude 3.5 Sonnet was used for AI Twitter recaps. Discussions included pattern recognition vs. intelligence in LLMs, reinforcement learning for prompt optimization, and NotebookLlama, an open-source NotebookLM variant using LLaMA models for tasks like text-to-speech. Advances in model optimization with async-TP in PyTorch for tensor parallelism and hyperparameter tuning were noted. Mini-Omni 2 demonstrated multimodal capabilities across image, audio, and text for voice conversations with emphasis on modal alignment and multimodal fine-tuning. AI productivity tools like an AI email writer and LlamaCloud-based research assistants were introduced. Emphasis on practical skill development and privacy-conscious AI tool usage with Llama3-8B was highlighted. Generative AI tools such as #AIPythonforBeginners and GenAI Agents with LangGraph were shared. Business insights covered rapid execution in AI product development and emerging AI-related job roles. Challenges in enterprise-grade text-to-SQL and advanced retrieval methods were discussed with tutorials on RAG applications using LangChain and MongoDB.