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.
Episodes
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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...
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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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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
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