『Latest in AI』のカバーアート

Latest in AI

Latest in AI

著者： Dante Martin
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概要
 Most AI coverage is a day late by design — newsletters publish on a schedule, which means every story they run sat public for hours first. Latest in AI lives upstream. We monitor the primary sources around the clock and surface the stories while they're still forming. Expect early calls on model releases and benchmark fights, the leaks and infrastructure tells that precede launches, the policy moves that will matter in six months, and special attention to where AI collides with the wireless and carrier world. If you want to be the person in your group chat who knew first, this is the feed.Copyright 2026 Latest in AI 政治・政府
エピソード
  • Latest in AI — October 31, 2026 | Modular Data Centers and AI Brain Surgery

    Latest in AI — October 31, 2026 | Modular Data Centers and AI Brain Surgery
    2026/10/31
    Dante Martin's AI voice clone and Jenn Xeno AI explore the cutting edge of AI infrastructure and physical actuation: rapidly deployable modular data centers, real-time interactive physics simulations replacing traditional software, and neural interfaces mapping unspoken intent.
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    31 分
  • Latest in AI — October 28, 2026 | Faster Intelligence, Harder Questions

    Latest in AI — October 28, 2026 | Faster Intelligence, Harder Questions
    2026/10/28
    Today: DiffuSpace Clover challenges autoregressive generation; NVIDIA improves MoE decoding; SK hynix and Anthropic reveal the economics behind the AI buildout. We trace what trustworthy agents need, from OpenShell and credential brokers to human judgment, then examine AI in electronics, biology and neutrino physics, plus the geopolitical limits of compute, satellites and autonomous flight. A single daily show with source-grounded corrections and analysis.
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    48 分
  • Latest in AI — October 27, 2026 | Morning Edition: Proof, Compression, and Control

    Latest in AI — October 27, 2026 | Morning Edition: Proof, Compression, and Control
    2026/10/27
    Dante Martin’s AI voice clone and Jenn Xeno explore the tension between racing model capability and the physical, mathematical, and operational constraints needed to deploy it. In this morning's sweep: OpenAI’s Lean-formalized math claims refuting the Exponential Time Hypothesis, ISTA-DASLab running 763B DeepSeek models in 12GB VRAM via Strata, Cadence’s on-prem Maestro chip-design models, Anthropic’s S-1 governance and revenue disclosures, Deutsche Bank and Itaú reshaping enterprise lending, task-scoped agent permissions from Cisco and FireMon, Cohere’s sandbox findings on Qwen, and the physical reality of data-center cargo theft and Tata’s $450M fiber expansion.
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    28 分
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