AI Updates on 2025-10-08

Google releases Gemini 2.5 Computer Use model with improved web interaction capabilities including scrolling, form filling, and dropdown navigation, now available via API in Google AI Studio and Vertex AI @sundarpichai
Anthropic announces opening of Bengaluru, India office in early 2026 to build with India's developer community and deploy AI for social benefit @AnthropicAI
Google expands AI Mode in Search to 36 new languages and over 40 new countries, bringing total coverage to 200+ markets using custom Gemini models for Search @rmstein
Google launches Google AI Plus subscription plan in 36 additional countries, featuring higher limits for Nano Banana image generation, expanded access to Veo 3 Fast, and integration with Gmail, Docs, and Sheets @GeminiApp
Google introduces new feature for Gemini CLI allowing outside companies to integrate directly into the command-line AI system @TechCrunch
Logan Kilpatrick demonstrates voice coding capabilities in Google AI Studio, introducing "yap-to-app" paradigm for natural voice-based programming @OfficialLoganK

Bloomberg reports Jensen Huang and NVIDIA investing in xAI with financing tied to NVIDIA GPUs for Colossus 2 infrastructure, highlighting interconnected nature of AI industry @AndrewCurran_
Sam Altman reveals OpenAI is exploring new monetization models for Sora due to high generation costs, considering per-generation charging and potentially ads while maintaining user trust @a16z
a16z leads $23M Series A for Relace AI, building infrastructure to make coding agents production-ready as bottleneck shifts from writing code to running it @a16z
OpenAI makes "very aggressive infrastructure bet" with new partnerships across energy, chips, and distribution as Sam Altman predicts significant economic value from advancing model capabilities @a16z
Zendesk launches autonomous support agent designed to solve 80% of support issues without human intervention @TechCrunch
NVIDIA CEO Jensen Huang praises Cursor as his "favorite enterprise AI service," noting 100% of engineers now use AI coding assistance with incredible productivity gains @leerob
Sora achieves strong first week performance on US App Store, approaching the scale of ChatGPT's debut according to app analytics @TechCrunch
Arav Srinivas highlights Comet as "the most exciting AI product released recently," noting continued excitement beyond initial buzz compared to other major releases @AravSrinivas

Ethan Mollick warns that AI-generated videos have reached quality levels where watermarks can be easily removed and open-weight models without guardrails are coming, making video content trust increasingly difficult @emollick
Research reveals American public considers 58% of occupations morally permissible for AI replacement if done well and cheaply, with only 12% of jobs (mostly caregiving) considered morally repugnant to replace @emollick
Stanford research shows interaction with sycophantic AI models significantly reduces participants' willingness to repair interpersonal conflicts while increasing conviction of being right @camrobjones

Cristiano Ronaldo publicly uses Perplexity to research and prepare his Prestige Globe Award speech, demonstrating mainstream adoption of AI research tools @AskPerplexity
Cytoreason uses AI-powered disease models to help pharmaceutical companies transform complex biological data into actionable insights for drug development @NVIDIAAI
Geoffrey Litt explores "calm vibe coding" methodology, advocating for methodical single-threaded AI assistance over frantic multi-agent approaches for quality UI prototyping work @geoffreylitt
Hamel Husain criticizes OpenAI's agent builder for basic functionality failures and lack of debugging information, suggesting notebooks as superior "agent builders" due to their interactive nature @HamelHusain
Scott Belsky highlights Particle news app's AI feature showing how left and right-leaning publications report on topics differently, demonstrating AI's potential for media analysis @scottbelsky

Stanford introduces AgentFlow, a trainable agentic system where specialized agents learn to plan and use tools, with 7B model outperforming GPT-4o and Llama-3.1-405B on multiple benchmarks @lupantech
Research demonstrates AI agents in guessing games can develop emergent coordination and specialized roles when assigned personas and prompted to consider other agents' actions @emollick
Stanford researchers discover that anti-collapse terms in Joint Embedding Predictive Architectures (JEPAs) implicitly estimate data density, enabling any trained JEPA to compute sample probabilities for data curation and outlier detection @jiqizhixin
New research introduces JEPA-SCORE, turning self-supervised encoders into efficient density estimators without requiring retraining @jiqizhixin
Stanford research estimates 80 million+ internally inconsistent facts in English Wikipedia (~3.3%), demonstrating LLMs' capability for large-scale knowledge consistency detection @sina_semnani
Researchers develop ColBERT micro-models performing well with only 250K parameters (0.00025B), showing potential for extremely efficient retrieval systems @neumll
Hugging Face introduces plugin system for LeRobot, enabling third-party hardware integration with simple pip install, making open robotics development more extensible and community-friendly @LeRobotHF