Truncated: latest AI news

Monday 9 November

A used RTX 3090 is still the best GPU for local AI, and it beats most new cards on value

AI-generated summary The Nvidia GeForce RTX 3090 offers 24 GB of VRAM, making it a capable hardware choice for running local large language models and other AI workloads. While the Nvidia GeForce RTX 3090 is no longer in production, it provides an alternative for users seeking memory capacity comparable to newer cards like the RTX 5070 Ti, RTX 5080, and RTX 5090.

SoftBank faces questions on AI strategy ahead of earnings after selloff

AI-generated summary SoftBank Group faces investor scrutiny regarding its artificial intelligence strategy ahead of its quarterly earnings report on Tuesday following a recent selloff in artificial intelligence stocks. The Japanese group completed a thirty billion dollar investment in OpenAI in October and holds a stake of about thirteen percent in the ChatGPT maker.

Also covered by CNBC Nikkei Asia AIStockWire
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Google Escalates Nvidia Rivalry With New Versions of Its TPU Systems

AI-generated summary Alphabet Inc.'s Google is releasing new versions of its custom tensor processing units to compete with Nvidia Corp. in the artificial intelligence market. The latest chips are designed to support confidential computing and help models access a wider range of information for handling user queries.

Also covered by The Decoder datacenterdynamics.com Unite.AI
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Paper Unicorns Are Cheap. Building A $1B Revenue AI Company Takes A Multimarket Cap Table

AI-generated summary Crunchbase News reports that OpenRouter raised a $113 million Series B and 1001 AI secured a $30 million Series A from investors including Lux Capital and Sanabil Investments. Ilman Shazhaev writes that artificial intelligence startups face price competition and must prove whether customers will keep paying for their services.

ROI From Your AI Agents Isn't About Costs

AI-generated summary Siva Surendira states that companies often struggle with compounding monthly AI model bills because they deploy frontier models for every task instead of matching task difficulty to the appropriate tool. Gartner estimated that over 40 percent of agentic AI projects will be canceled by the end of 2027 due to escalating costs, unclear business value, or inadequate risk controls.

Why The Highest Return On Enterprise AI Comes From The Middle 60%

AI-generated summary Forbes reports on how enterprise artificial intelligence returns are achieved by focusing on the middle sixty percent of an organization rather than trying to make every employee an expert. According to AI Digital Chief AI Officer David Mainiero, the middle tier of workers uses artificial intelligence for basic tasks and represents significant untapped leverage for productivity.