Amazon shifts AWS workloads as power constraints tighten

https://cdn.mos.cms.futurecdn.net/U76sZeRd6fS2fKt5RqBYPL-2560-80.jpg

Tokenmaxxing: Why AI consumption needs control

AI spend made headlines again recently with the Claude Fable 5 model from Anthropic. Before security concerns led to the model being suspended, there were also cost concerns. Anthropic says Fable costs $10 or approximately €9 per million input tokens and $50 per million output tokens. This is double the

https://cdn.mos.cms.futurecdn.net/PAztEScphfxGJfYno5NjrL-2560-80.jpg

Beyond ‘Pilot Purgatory’: What does it take to build AI that works?

AI conversations have moved past the point of curiosity. Boards and leadership teams are no longer asking what AI might eventually do. They are asking where it is actually working, what measurable value it is creating - and why so many promising experiments still fail to become durable operating advantages.

https://images.wsj.net/im-02440269/social

Analysis: nine top tech companies including Alphabet and Meta had ~$3T of AI-related off-balance-sheet commitments, far exceeding their $600B in reported capex

Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &

https://media.wired.com/photos/6a7cc625da9d4129dd619236/191:100/w_1280,c_limit/Politics_Officials%20Brace%20for%20Prediction%20Markets%20to%20Sow%20Midterm%20Election%20Chaos_v2.1.jpg

Election Officials Are Preparing for Prediction Markets to Sow Chaos in the Midterms

When Jim Allen, the elections director for Delaware County, Pennsylvania, recently ran a training session for poll workers, he began a conversation about a topic he’d never previously had to address during training: prediction markets. “There was one person who stood up, and they said, ‘Well, what if we

Read more

Tokenmaxxing: Why AI consumption needs control

Beyond &lsquo;Pilot Purgatory&rsquo;: What does it take to build AI that works?

Analysis: nine top tech companies including Alphabet and Meta had ~$3T of AI-related off-balance-sheet commitments, far exceeding their $600B in reported capex

Election Officials Are Preparing for Prediction Markets to Sow Chaos in the Midterms

Beyond ‘Pilot Purgatory’: What does it take to build AI that works?