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PODCAST · technology

Top K

by Baris Balli and Hubert Siwkin

Top K — the k things in AI that actually mattered, explained properly. Every week we take the handful of AI stories worth your attention and go one layer deeper than the headline. Not "a new model dropped" — what changed architecturally, what it costs to run, and what it means for the code you write on Monday. Two engineers. No hype, no takes we can't defend, no reading press releases out loud. Also here: deep dives on how this stuff actually works, build logs, and whatever we're currently confused about. For you if you ship software with LLMs and want to stop treating the model as a black box. New episode every Monday. Topics: LLMs, inference and serving, AI agents, MCP, RAG, fine-tuning, evals, open weights, AI infrastructure, ML engineering.

Publisher-supplied feed metadata · PodParley refreshed Oct 7, 2026 · Source feed

Episodes

  1. AI Found a New Enzyme Humans Missed: 950 Claude Agents | Top K Ep. 3

    Anthropic pointed 950 Claude agents at human genetic data and they found an enzyme system nobody had described. A real lab then confirmed it exists. This week is the "AI does real science" episode: Claude's record-breaking physics calculation, a language model trained on DNA, how a biotech picks...

  2. AI Safety Has a Hole: Splitting One Bad Question Into Ten Good Ones | Top K Ep. 2

    A safety-trained AI will refuse to help build a bomb — unless you ask it as ten separate, innocent-looking questions and assemble the answer yourself. This week: a 0.5-second decision model, a transformer that "loops" its own thinking, Google's maze-replay search trick, why playing a railway…

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  3. OpenAI's 10,000-Agent Math "Proof" Wasn't What It Claimed | Top K Ep. 1

    OpenAI ran 10,000 AI agents for 88 hours to "prove" a famous unsolved math problem — but that's not exactly what happened. This week: a cheaper DeepSeek, Claude's split personality, GPT-6's first "Critical" risk rating, Shopify's self-improving AI loop, an agent that can't leak your password, a...

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ABOUT THIS SHOW

Top K — the k things in AI that actually mattered, explained properly.

Every week we take the handful of AI stories worth your attention and go one layer deeper than the headline. Not "a new model dropped" — what changed architecturally, what it costs to run, and what it means for the code you write on Monday.

Two engineers. No hype, no takes we can't defend, no reading press releases out loud.

Also here: deep dives on how this stuff actually works, build logs, and whatever we're currently confused about.

For you if you ship software with LLMs and want to stop treating the model as a black box.

New episode every Monday.

Topics: LLMs, inference and serving, AI agents, MCP, RAG, fine-tuning, evals, open weights, AI infrastructure, ML engineering.

HOSTED BY

Baris Balli and Hubert Siwkin

CATEGORIES

Frequently Asked Questions

How many episodes does Top K have?

Top K currently has 3 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Top K about?

Top K — the k things in AI that actually mattered, explained properly. Every week we take the handful of AI stories worth your attention and go one layer deeper than the headline. Not "a new model dropped" — what changed architecturally, what it costs to run, and what it means for the code you...

How often does Top K release new episodes?

Top K has 3 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Top K?

You can listen to Top K on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Top K?

Top K is created and hosted by Baris Balli and Hubert Siwkin.
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