- 99
- Episodes
- 76
- Transcribed
- Daily
- Cadence
- 2026
- First episode
About AI Daily Briefing
AI Daily Briefing is your sharpest weekday source for artificial intelligence news that actually matters to people who build and invest. Every episode ranks the day's top stories — new model releases from OpenAI, Anthropic, Google DeepMind, Meta, and the open-source community; AI agent launches and product updates; major funding rounds and acquisitions; research milestones and benchmark results; chip supply and data-center infrastructure moves; and AI policy battles in Congress and the states. We separate real capability gains from benchmark theater and demo hype, explain what each release means for builders and businesses, and credit the reporters and researchers who broke the story. Anchor Cassidy brings the crisp AI news context; cohost Bill ships with these tools daily and keeps every claim honest. Whether you follow large language models, generative AI, machine learning infrastructure, or AI regulation, this is the five-minute briefing you open before your standup. For engineers, founders, investors, and the genuinely AI-curious.
- Publisher
- AI Daily Briefing — Lantern Podcasts
- Category
- news · technology
- Language
- en
- Explicit
- No
- First episode
- 8 Jun 2026
- Latest episode
- 14 Oct 2026
Latest episodes
76 of 99 episodes have a transcript.
14 Oct 2026TRANSCRIPT
Gemini 4 Argon Goes Live With a Price That Doubles Dec. 1; Microsoft Bets on Maia Chips — October 14, 2026
13 Oct 2026TRANSCRIPT
Meta's Muse Wonder Puts Meta Back Among Frontier AI Labs — October 13, 2026
12 Oct 2026TRANSCRIPT
US Restores UK Access to Frontier AI Models After 17-Day Pause — October 12, 2026
Inside a recent episode
Gemini 4 Argon Goes Live With a Price That Doubles Dec. 1; Microsoft Bets on Maia Chips — October 14, 2026
Published 14 Oct 2026 · Transcript excerpt
[…] It did not give an exact target for capacity or when the rollout could be completed. On Monday, Satya Nadella called it Microsoft's biggest bet yet on its own silicon. Microsoft says that starting in 2027, Maya becomes the primary inference system for its products. But there's no gigawatt figure and no completion date. The hardware is real, though, and there's a technical paper. Maya 300 has eight HBM4 stacks. 18 terabytes a second of bandwidth, and a 950-watt TDP. A rack holds 96 accelerators at 167 kilowatts. And Maya 200 is already serving co-pilot, running OpenAI models, MAI models, and open-source families. […]
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The show publishes daily, based on its RSS feed.
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