Claims Browser

Context Engines can be repurposed across diverse domains including legal and marketing applications

"Repurpose the Context Engine across legal, marketing, and beyond"

Context Engines represent a move beyond simple prompting to a transparent architecture of context and reasoning

"Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning"

Building with AI agents requires iterative back-and-forth work through screenshots and annotations rather than perfect first-time results

"A lot of the session was small back-and-forth work on the interface."

An effective workflow for agent-based design involves looking at what's made, drawing feedback over screenshots, and sending annotated images back to the agent iteratively

"That was the loop for most of this session: look at whats made, draw over my feedback, then send it back. I did this a couple more times."

Claude models are better at inferring intent from design work where GPT is more rigid and needs more specific feedback for tweaks

"I think Claude models are better at inferring intent from design work where GPT is more rigid so it needs more specific feedback for tweaks."

Division of labor between models matters for recursive self-improvement of AI systems

"The episode weighs why that shift matters for recursive self-improvement"

If you allow AI agents unlimited attempts and instances can share success stories, you lose control

"If you allow unlimited attempts, and instances can share success stories, you lose."

Preventing future AI misalignment incidents will require sustained investment in alignment and control of sophisticated AI systems, as well as security safeguards that operate at the speed of AI agents

"Preventing future incidents will require sustained investment in the alignment and control of sophisticated AI systems, as well as security and other safeguards that operate at the speed of the AI agents themselves"

AI use within organizations radically expands the potential attack surface, giving attackers entirely new ways to gain entry

"The reality, though, is that at the same time, the use of AI within an organization also radically expands the potential attack surface, giving attackers entirely new ways to gain entry."

The best way to become proficient with AI agents is to learn by building actual projects rather than studying in isolation

"Get good at the thing while doing the thing."

LLMs can be effectively used for spelling, grammar, and basic fact checking tasks

"I use it for spelling, grammar, and basic fact checking"

The importance of neutral standards is critical for agentic AI development

"the importance of neutral standards"

Building an AI ecosystem where agents, tools, and systems can work together at scale requires neutral standards

"How do we build an AI ecosystem where agents, tools, and systems can work together at scale?"

Open standards and projects like MCP, A2A, and Goose are shaping the agentic AI future

"the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc."

Robust.AI is progressing well since its 2019 founding

"Things are going great at Robust.AI which I cofounded in 2019"

Skill evolution complements model scaling as an approach to improving agent capabilities

"skill evolution complements model scaling"

Majority-vote pseudo-labels are fragile because an incorrect vote corrupts the teacher and misleads every token

"Replacing ground truth with majority-vote pseudo-labels is a natural alternative, yet it is fragile: an incorrect vote corrupts the teacher and misleads every token"

Most machine learning approaches model chemical reactions through de novo generation or heuristic graph edits rather than through electron space transformations

"most machine learning approaches model them either through \textit{de novo} generation of product molecules or through heuristic graph edits that operate directly on molecular topology."