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Meta’s warns that election backlash against data centers could make AI expansion harder
Source: techcrunch ·
OpenAI released a new cybersecurity model. Is that enough?
Source: techcrunch ·
Google's Gemini Omni 1.2 Flash stretches AI video clips to 15 seconds and cuts pricing by 30 percent
Source: decoder ·
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
Source: aws ·
OpenAI president Greg Brockman says company could be IPO ready in 2027
Source: techcrunch ·
Claude can now analyze your spending with its new Personal Finance tool
Source: techcrunch ·
Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
Source: decoder ·
Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Source: deepmind ·
No AI agent scores above 12 percent on SemiAnalysis' new real-world work benchmark
Source: decoder ·
Reddit Founder Says Building Social Media Apps Is ‘Not Cool Anymore’
Source: wired ·
Axiom Math wants to keep AI slop out of mathematics
Source: techcrunch ·
Tencent releases Hy4 with vision and computer use, claims second place among Chinese AI models
Source: decoder ·
The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models
Source: nvidia ·
More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge
Source: nvidia ·
Dropbox acquires Tigris Data for $350M to bolster its AI infrastructure
Source: techcrunch ·
Meta buys AI coding startup Conductor as big tech races to lock in developers
Source: decoder ·
Aina’s smart ring has a screen, a joystick and a mic so you can talk to AI agents
Source: techcrunch ·
After midterm rout, OpenAI tries to win over communities it needs for AI expansion
Source: decoder ·
Zipline Raises $1.5B in New Funding to Expand US Autonomous Delivery Network
Source: aiinsider ·
OpenMatter Network Says the Future of AI Doesn’t Have to Depend on Massive Data Centers
Source: aiinsider ·
Repository of the day
NVIDIA/auto-ontology · ⭐ 6,988
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Source: GitHub Trending