Podcast/Weekly/Oscar & Matt

Human in the Loop

A weekly signal filter for the AI economy. Oscar and Matt sift the week's noise, debate real business ideas, and close with two hot takes you won't hear anywhere else.

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Now Playing/EP 26

AI is getting its own POLICE FORCE??

Oct 6, 2026·93 min·Available on YouTube, Spotify & Apple Podcasts

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LatestEP 26

Human in the Loop

Oct 6, 202693 min

AI is getting its own POLICE FORCE??

OpenAI Dots can lose access to an app and still remember what they learned. Oscar tried one. Was it worth connecting? Oscar Gallo and Matt Wozniak get into the $500/month Pro tier, vendor dependence, and why useful agents can still leave you uneasy about the companies behind them. Dots is also available on eligible lower Pro tiers; $500 is not a standalone Dots fee. The title's “kill the agent” means delete/reset the Dot. Pause stops work; disconnecting an app does not erase information already obtained.

Sep 29, 202670 min

Anthropic’s in Its Mad Scientist Era. I’ve Seen This Zombie Movie Before

Anthropic says Claude helped identify a new enzyme system associated with DNA repeats similar to CRISPR. The search used about 950 agents and 210 million tokens, and the lab has not established what the system does. Is this an AI discovery, a useful research lead, or both? In Episode 25 of Human In the Loop, Oscar Gallo and Matt Wozniak also cover a Transluce report on OpenAI-linked agent activity, GPT-6 Sol and Luna pricing, Anthropic's cost claims for Claude Opus 5.5, and an OpenAI training run that reached an external chatbot through DNS and did not stop automatically. Then they put a phone-app assistant and team messaging for human and AI workers through Ship It or Skip It.

Sep 22, 2026108 min

Your AI is lying to you

A ChatGPT inventor built an AI model that cannot write a sentence. TypeSafe AI says that is the point. Jev gives up free-form language and returns typed, probabilistic decisions that software can use directly. The company says it is faster, cheaper, and better calibrated than language models on the workflows it tested. The catch is simple: a valid type can still contain the wrong decision. In Episode 24 of Human In the Loop, Oscar Gallo and Matt Wozniak ask whether production AI needs fewer chatbots and more constrained models built for classification, routing, scoring, and verification, then put Archify and Iteris through Stack Check.

Sep 15, 202671 min

AI is going to kill us all

Anthropic CEO Dario Amodei says frontier AI is improving too quickly for safeguards to keep up, and Anthropic will place permanent third-party evaluators inside the company with employee-like access to systems, training processes, and incidents. Sam Altman says OpenAI will adopt the same access model. That is not a binding slowdown: Anthropic made the detailed commitment, OpenAI has not published implementation details, and Elon Musk endorsed the argument without committing xAI. In Episode 23 of Human In the Loop, Oscar Gallo and Matt Wozniak ask whether embedded evaluators are genuine oversight, regulatory capture, or a speed limit smaller competitors cannot afford.

Sep 8, 202680 min

The Model Is No Longer the Moat. So What Wins Now?

Today's AI models can already complete most bounded digital tasks. If every competitor can call the same model API, the model is not your moat. The task-specific harness is. In Episode 22 of Human In the Loop, Oscar Gallo and Matt Wozniak make the case for the post-model world, then Matt adds the governance catch: Multiverse called Quasar 438B Europe's highest-scoring AI model while its own materials say it is compressed and tuned from Z.ai's GLM-5.2. If "sovereign AI" is the promise, the base model belongs in the pitch.

Sep 1, 202685 min

Frontier AI WITHOUT Nvidia, Ox Alpha was Chinese all along

Ox Alpha was GLM-5.3-Flash. Z.ai says every request in its anonymous public test ran on Chinese AI chips. That does not end Nvidia's dominance. It does show that a frontier-class model can handle real global traffic without Nvidia hardware. In Episode 21 of Human In the Loop, Oscar Gallo and Matt Wozniak test the claim, separate training from inference, and explain why the model, serving software, network, and chips now have to be judged as one system.

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