If the markets reject OpenAI and Anthropic, the US should nationalize them | Bruce Schneier and Nathan E Sanders

From space to telecommunications, the US has a long history of fostering technology for the public good. These AI models could be aligned to democratic values, not corporate profits OpenAI, and then Anthropic, were each formed by AI developers who feared unrestrained corporate AI development – specifically, that companies like Google and Meta would steer […]

If the markets reject OpenAI and Anthropic, the US should nationalize them | Bruce Schneier and Nathan E Sanders Read Post »

AI was supposed to destroy jobs. Where’s the carnage?

The AI jobs apocalypse never showed up. Still, jobs are changing and economists expect more to come. The prediction was stark: artificial intelligence advancements would wipe out jobs en masse. “Half” of all entry-level white collar jobs would vanish, Anthropic’s CEO, Dario Amodei, said in May 2025. A month later, OpenAI’s CEO, Sam Altman, went

AI was supposed to destroy jobs. Where’s the carnage? Read Post »

Multi-tier storage rewrites the economics of AI inference

As inference becomes the dominant workload in AI infrastructure, multi-tier storage architectures are emerging as a key method for cost control and enhanced performance. These architectures combine flash, object storage and disk-based capacity tiers, enabling enterprises to serve training and inference workflows while maximizing GPU productivity and economic savings. Super Micro Computer Inc. has collaborated

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Real-time tax compliance puts agentic AI accuracy to the test

AI-powered tax compliance has to meet a standard that many artificial intelligence applications don’t: The answers must be exactly right. While large language models can generate unpredictable results, tax calculations require accuracy, speed and reliability across thousands of jurisdictions. That tension has shaped the way Avalara Inc. applies agentic AI to its transactional tax and compliance

Real-time tax compliance puts agentic AI accuracy to the test Read Post »

Snowflake moves enterprise AI beyond fragmented data pipelines

Data interoperability is quickly becoming a practical requirement for companies trying to move artificial intelligence into production. Picking the right model or adding computing capacity is only part of the job. Companies also need reliable data that carries the right business meaning and remains protected as it moves between systems. Snowflake Inc. is building its

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Anthropic to start watermarking Claude-generated text, images

Anthropic PBC has announced plans to embed an invisible watermark in text and images generated by Claude. The Register reported the change today, citing a help desk article published on Monday. It applies to the Claude artificial intelligence model series and the Anthropic services that it powers.  The watermarking mechanism is designed to bring Claude

Anthropic to start watermarking Claude-generated text, images Read Post »

Personalized AI startup River AI raises $1.1B from consortium backed by Nvidia, AMD

River AI Inc., a startup that helps enterprises customize open-source artificial intelligence models, has raised $1.1 billion in early-stage funding. The company stated in today’s announcement that it received the capital over two rounds, a seed and a Series A. General Catalyst and AMP PBC were the lead investors. They were joined by Nvidia Corp.,

Personalized AI startup River AI raises $1.1B from consortium backed by Nvidia, AMD Read Post »

Snowflake moves enterprise AI beyond fragmented data pipelines

Data interoperability is quickly becoming a practical requirement for companies trying to move artificial intelligence into production. Picking the right model or adding computing capacity is only part of the job. Companies also need reliable data that carries the right business meaning and remains protected as it moves between systems. Snowflake Inc. is building its

Snowflake moves enterprise AI beyond fragmented data pipelines Read Post »

Survey: AI Expands Attack Surfaces, M2M Security Is Blind Spot

The 2026 State of Secure AI Access report reveals security leaders are under near-universal pressure to deploy AI, yet just 15% are confident their current tools can protect it — with non-human identity and machine workloads emerging as the critical gap NetFoundry, the leader in Zero Trust Workload Connectivity, today released its 2026 State of Secure

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