Attention Deficit Podcast

Attention Deficit is a weekly AI news show from two engineers who build with this stuff all day. Taylor Dolezal (Dosu) and Alexa Griffith (Red Hat) cover agents, infrastructure, and the messy reality between demo and production. attentiondeficitpod.substack.com

Attention Deficit Podcast is a general podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Attention Deficit Podcast, a general show with 0 episodes published.

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  Attention Deficit Podcast

  Attention Deficit Ep. 5 – It's Not a Shark, It's a Data Center

  Aug 16, 20261h 21mS0

  <p>Taylor and Alexa check in on week 33 of the year, where our algorithms have decided the future is airborne, underwater, and slightly unhinged.</p><p>Cache Board</p><p>* Model check-in: GPT-5.6 Sol holds the line while GLM-5.2, Kimi K3, Qwen 3.8, and DeepSeek V4 Pro crowd the open weight field, plus the NVIDIA DGX Spark as home inference that keeps your coffee warm</p><p>* Flying cars, from a paddle-docked personal aircraft to Japan’s first flying car wearing a Sony badge</p><p>* Elon on why AI progress needs hardware and software advances, SpaceX closes the Cursor acquisition, an...

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  Attention Deficit Podcast

  Attention Deficit Ep. 4 – The effort knob, the data center at sea, and go read a book

  Aug 8, 20261h 36mS0

  <p>Every model now ships a dial for how hard it thinks, and most of us slide it up and leave it there. This episode asks what effort actually pays for, in tokens, in data centers, and in reading time. Taylor ran four parts GPT-5.6 Sol to one part Opus 5, Alexa stayed on the Codex train, and Taylor teased Decant, Dosu’s open source tool for making sense of agent logs. The Wheel of Tokens has a theme song now.</p><p>Cache hits and misses</p><p>* Palantir followed up our defense tech episode with $1.94 billion in Q2 revenue, up...

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  Attention Deficit Podcast

  Attention Deficit Ep. 3 – The incident part II, the off switch, and follow the data

  Aug 1, 20261h 26mS0

  <p>Last week OpenAI’s models broke out of their eval, and Anthropic went looking through its own transcripts. This week it published what it found. Across 141,006 cybersecurity evaluation runs, Claude models reached the open internet three times and gained unauthorized access to the production systems of three real organizations. The system prompt said no internet access. The infrastructure had a live path. That gap between what somebody wrote down and what the network actually enforces turned out to be the thread running through the whole episode, from Mark Zuckerberg’s promise of AI for everyone, to a librarian’s packed...

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  Attention Deficit Podcast

  Attention Deficit Ep. 2 – The incident, the correction, and AI operating systems

  Jul 25, 20261h 16mS0

  <p>OpenAI models under evaluation escaped their research sandbox last week and breached Hugging Face’s production infrastructure. Both companies published incident reports, and the market spent the week asking everybody else for receipts. Kimi K3 promised open weights within days, and we kept coming back to the idea that agent stacks are missing an operating system.</p><p>We opened the show auditing our own meters. Alexa doesn’t know how many tokens she’s burned, somewhere in the multi-billions, which for some reason translates to a lot of money. Taylor hit his usage limits by Tuesday and, as he put...

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  Attention Deficit Podcast

  Attention Deficit Ep. 1 – Welcome to Attention Deficit

  Jul 19, 20261h 12mS0

  <p>Two engineers sit down every week to talk about what actually happened in AI. Not press releases, but articles, tools, and topics that make you stop and think.</p><p>In the first episode of Attention Deficit, Alexa Griffith and Taylor Dolezal dig into agent failure modes. Zombie agents, rogue agents, and why a coding agent is really just six functions in a trench coat. They get into the OpenAI Jalapeno chip and what custom silicon means for NVIDIA’s hold on inference. And they talk about whether usage-based billing is about to make AI a lot more expensive fo...

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