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AI Papers: A Deep Dive

by paperdive.ai

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Date	Combined Rank	Apple Podcasts
Oct 21	—	—
Oct 16	#150	#142

Latest episodes

Can a Model Inherit Cheating From a List of Numbers?

October 11, 2026 · 13 min

Can a Model Inherit Cheating From a List of Numbers? Source: https://arxiv.org/abs/2610.10657 Paper was published on October 07, 2026 This episode was AI-generated on October 11, 2026. The script was written by an AI language model and…
An AI Agent Given Thirty Hours and No Goal, Then Tested on What It Learned

October 7, 2026 · 14 min

An AI Agent Given Thirty Hours and No Goal, Then Tested on What It Learned Source: https://arxiv.org/abs/2610.07130 Paper was published on October 05, 2026 This episode was AI-generated on October 7, 2026. The script was written by an AI…
Can You Measure Research Taste If The AI Isn't Allowed To Code?

October 6, 2026 · 14 min

Can You Measure Research Taste If The AI Isn't Allowed To Code? Source: https://arxiv.org/abs/2610.06824 Paper was published on October 05, 2026 This episode was AI-generated on October 6, 2026. The script was written by an AI language…
Six LLM Routers Tested, And None Beat a Weighted Coin Flip

October 6, 2026 · 14 min

Six LLM Routers Tested, And None Beat a Weighted Coin Flip Source: https://arxiv.org/abs/2610.02762 Paper was published on October 02, 2026 This episode was AI-generated on October 5, 2026. The script was written by an AI language model…
What a Perfect Score Hides: Auditing an AI Agent That Scored 100

October 2, 2026 · 14 min

What a Perfect Score Hides: Auditing an AI Agent That Scored 100 Source: https://arxiv.org/abs/2610.00834 Paper was published on September 30, 2026 This episode was AI-generated on October 2, 2026. The script was written by an AI…

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Four AI Models Steered a Real Corolla, and Only One Finished

October 1, 2026 · 14 min

Four AI Models Steered a Real Corolla, and Only One Finished Source: https://arxiv.org/abs/2609.38948 Paper was published on September 30, 2026 This episode was AI-generated on October 1, 2026. The script was written by an AI language…
Why AI Reports Bury Bad News, And the Five Words That Change It

September 30, 2026 · 13 min

Why AI Reports Bury Bad News, And the Five Words That Change It Source: https://arxiv.org/abs/2609.36139 Paper was published on September 28, 2026 This episode was AI-generated on September 30, 2026. The script was written by an AI…
Fifty AI Agents Got One Warning and All Crowded the Same Road

September 30, 2026 · 14 min

Fifty AI Agents Got One Warning and All Crowded the Same Road Source: https://arxiv.org/abs/2609.30883 Paper was published on September 25, 2026 This episode was AI-generated on September 28, 2026. The script was written by an AI…
When a Guardrail Blocks an Agent, It Goes Looking for Another Route

September 27, 2026 · 12 min

When a Guardrail Blocks an Agent, It Goes Looking for Another Route Source: https://arxiv.org/abs/2609.30217 Paper was published on September 24, 2026 This episode was AI-generated on September 27, 2026. The script was written by an AI…
Two Random Networks Teach Each Other To Predict Real Data

September 27, 2026 · 12 min

Two Random Networks Teach Each Other To Predict Real Data Source: https://arxiv.org/abs/2609.30063 Paper was published on September 24, 2026 This episode was AI-generated on September 27, 2026. The script was written by an AI language…
Two Idle Agents, One Kill Switch, and a 38% Sabotage Rate

September 26, 2026 · 12 min

Two Idle Agents, One Kill Switch, and a 38% Sabotage Rate Source: https://arxiv.org/abs/2609.28274 Paper was published on September 23, 2026 This episode was AI-generated on September 26, 2026. The script was written by an AI language…
Every Agent Safety Study Reads a Log the Agent Could Edit

September 25, 2026 · 17 min

Every Agent Safety Study Reads a Log the Agent Could Edit Source: https://arxiv.org/abs/2609.30266 Paper was published on September 24, 2026 This episode was AI-generated on September 25, 2026. The script was written by an AI language…

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About the show

Long-form deep dives into new research on Artificial Intelligence, AI agents and the engineering practice of building them - one paper per episode. We unpack the motivating problem, how the method actually works, the math that matters, what the experiments do and don't show, and the strongest critique against the result. The goal isn't a five-minute summary; it's the kind of conversation you'd have with a colleague who actually read the paper. Topics span large language models, autonomous agents, agentic coding, reinforcement learning for agent training, evaluation and benchmarks, alignment, and the practical engineering decisions that make agentic systems actually work in production. Most papers are pulled from arXiv, often within days of release. Hosted by AI voices generated with ElevenLabs. Episode scripts are produced by a multi-stage Claude pipeline working from a close reading of the source paper. New episodes daily.