All tags
Company: "spacex"
Anthropic-SpaceXai's 300MW/$5B/yr deal for Colossus I, ARR growth is 8000% annualized
claude claude-code opus colossus-1 anthropic spacex x-ai compute rate-limiting agent-platforms inference api managed-agents safety governance event nottombrown _aidan_clark_ kipperrii theamolavasare alexalbert__
Anthropic announced a new SpaceX compute partnership to significantly increase capacity for Claude products, doubling Claude Code's 5-hour rate limits for Pro, Max, Team, and Enterprise users, removing peak-hour limit reductions, and substantially increasing API rate limits for Opus models. The deal grants Anthropic access to Colossus 1 via SpaceXAI, with Claude inference expected to ramp up on Colossus soon. Anthropic also hosted a "Code with Claude" event featuring updates on Claude Code, GitHub-scale usage, and managed agents. Discussions highlighted compute bottlenecks, user reactions to limit changes, debates on managed-agent features, and ongoing safety/governance discourse around AGI trustworthiness.
Not much (in AI) happened this weekend
llama-3.1-8b llama-3.2 chatgpt movie-gen openai meta-ai-fair google-deepmind microsoft x-ai spacex harvard nvidia long-context feature-prediction-loss ai-agents privacy text-to-video text-to-image humanoid-robots gpu-deployment media-foundation-models ai-research-labs sam-altman yann-lecun rasbt bindureddy andrej-karpathy soumithchintala svpino adcock_brett rohanpaul_ai
OpenAI introduced an "edit this area" feature for image generation, praised by Sam Altman. Yann LeCun highlighted a NYU paper improving pixel generation with feature prediction loss using pre-trained visual encoders like DINOv2. Long-context LLMs such as llama-3.1-8b and llama-3.2 variants now support up to 131k tokens, offering alternatives to RAG systems. Bindu Reddy announced AI agents capable of building and deploying code from English instructions, signaling AI's replacement of SQL and potential impact on Python. SpaceX's successful Starship rocket catch was celebrated by Andrej Karpathy and others, with Soumith Chintala praising SpaceX's efficient, low-bureaucracy research approach. Privacy concerns arose from Harvard students' AI glasses, I-XRAY, which can reveal personal information. Meta AI FAIR's Movie Gen model advances media foundation models with high-quality text-to-image and video generation, including synced audio. Humanoid robots like Ameca and Azi now engage in expressive conversations using ChatGPT. xAI rapidly deployed 100K Nvidia H100 GPUs in 19 days, with CEO Jensen Huang commending Elon Musk. Leading AI research labs compared include Meta-FAIR, Google DeepMind, and Microsoft Research. Skepticism about LLM intelligence was voiced by Sam Pino, emphasizing limitations in novel problem-solving despite strong memorization.