Haiku costs, interactive AI and SynthID limits
Nick Saraev and Jack Roberts discuss cheaper small-model workloads, interactive AI explanations and why missing SynthID watermarks do not prove an image is human-made.
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Let anyone ship internal AI apps at WorkOS
Garrett Galow explains how WorkOS pairs coding agents with a self-service deployment platform so non-engineers can ship usable internal applications.
OpenAI mathematics claims and formal verification
AI Copium examines reported OpenAI mathematics results and argues that formal verification, carefully stated claims and accountable research access matter more than singularity rhetoric.
Giving AI agents memory that improves future runs
Jake Broekhuizen explains a capture, analyze and update loop that turns selected agent experiences into durable context while protecting important behavioral rules.
Videos in our catalogue by publication date
Step 5 Preview Tested on Eight Coding Tasks
Step 5 Preview builds useful interactive prototypes and a local fine-tuning workflow in AICodeKing's tests, but bugs and training-data errors still require review.
Enterprise AI Agents Need More Than MCP
Ayan Barua explains to Sophia Dew why enterprise agents require customer-specific data integration rather than a protocol alone.
Seven Decisions API Demos and Their Practical Limits
Pat Simmons tests classification-driven applications and shows how fixed action choices enable fast automation while introducing false positives, coverage gaps and review requirements.
Building Trust in Enterprise Finance Agents
Tarek Alaruri explains to Sophia Dew why finance automation needs staged trust, reliable reconciliation and human judgment.
AI Math Claims, Lean Verification and Human Review
The Pretrained Pod separates the hosts' reported AI math breakthroughs from what Lean compilation verifies and what mathematicians still need to check.
Personal AI Context from Photos and Screenshots
Marissa Mayer discusses with Sophia Dew how photos and screenshots can provide context for consumer AI assistants.
Why Bigger Context Windows Won't Save Your Agent
Elizabeth Fuentes Leone explains why reliable agents need selective context, external memory and bounded tool execution rather than ever-larger context windows.
Bijan Bowen Tests Claude Haiku 5.5 on Games and Interfaces
Bijan Bowen tests Claude Haiku 5.5 across interfaces and games, weighing low reported usage against rendering and interaction limitations.
Matthew Berman on Personal AI Assistants and Action Boundaries
Matthew Berman demonstrates personal assistant workflows that connect everyday information while keeping consequential actions subject to explicit approval.
Eli Cohen on Continuous AI Security Testing and Validation
Eli Cohen describes a continuous security-testing architecture that combines cheap static checks, contextual testing agents and independent validation before treating a finding as an exploitable vulnerability.
Alex Finn Explores Grok Bot Updates and Agent Workflows
Alex Finn reviews Grok Bot updates and shows how a main agent, coding feedback and recurring prompts fit into his assistant workflow.
Theo Browne on Codex Subscription Value and Cost per Task
Theo Browne argues that AI subscription value should be measured by completed work, while criticizing confusing usage changes and expensive fast modes.
The Software Factory: From Bug Report to Production Code - Davis Palmie, Factory
Davis Palmie explains how governed AI agents can connect incident triage, planning, coding, review and deployment while engineers retain architectural judgment.
Why Your AI Agents Can't Talk to Each Other (Yet) - Vlad Luzin, BAND
Vlad Luzin argues that connecting autonomous agents requires distributed-system infrastructure for ordered communication, durable state, runtime binding and governance.
Why AI Agents Should Have Their Own Sandbox - Philipp Schmid, Google DeepMind
Philipp Schmid demonstrates how managed sandboxes give AI agents files, tools and reusable environments while simplifying stateful and multimodal workflows.
OpenAI Just Solved 722 Unsolvable Math Problems
Nick Saraev and Jack Roberts discuss reported AI math advances and argue that task-specific model routing matters more than owning every model.