Oct 18, 2026

A mind-expanding conversation on how models actually work | Emmanuel Ameisen (Anthropic)

Emmanuel Ameisen, an interpretability researcher at Anthropic, explains how the team looks inside models like Claude to understand how they actually think. The conversation covers why next-token prediction hides real planning and conceptual representation, why models are grown rather than built, how intermediate activations reveal structure, why anthropomorphic framing can be useful, how smooth scaling produces sudden capability thresholds, and how interpretability ties into alignment, safety, and the broader question of what these systems are.

Oct 16, 2026

Decision models take off & Anthropic bans cruelty to Claude

The panel examines the rise of decision models, a family of LLM-based systems that return a single, scored classification in one forward pass, and asks whether they are genuinely new or a smarter use of existing architectures. It then weighs the cost and benefit of multi-agent teams, drawing on a study that found agent teams cost two to five times more without consistently better results, and closes with Anthropic's new policy against sustained cruelty toward its models and what it says about AI safety, ethics, and human behavior.

Oct 12, 2026

Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

A hands-on walkthrough of Claude Managed Agents, building a research desk for SEC filing analysis with a chat UI on the session event stream, skills, subagents, custom tools, shared memory, rubric-graded outcomes and vault-based credential injection.

Oct 12, 2026

Claude Managed Agents Q&A: Evals, CI/CD and Multi-Tenancy (Part 4 of 4) — Anthropic

A Q&A from the final part of Anthropic's Claude Managed Agents workshop, covering CI/CD for agent configs in YAML with the ant CLI, eval practices, workspace-based resource sharing and tenant isolation, agent-driven code review, GPU-enabled self-hosted sandboxes, multiplayer Slack agents, long-running sessions, and the coordinator pattern for custom tools.

Oct 05, 2026

The Current State of Consumer AI

The latest a16z Top 100 Consumer AI Apps report uncovers a power-user dominated economy, where a small percentage of users drive the majority of AI spending, primarily on productivity and creative tools. It highlights the rapid emergence and challenges of personal AI agents like Muse and Instinct, emphasizing privacy and high serving costs. The discussion also covers the limitations of subscription models, the burgeoning role of advertising (with OpenAI's $1B run rate), the competitive landscape of leading AI labs (ChatGPT, Claude, Gemini), and the vast untapped consumer AI white space in areas like social, dating, and entertainment, suggesting a shift from "save time" to "spend time" applications for future growth.

Oct 02, 2026

OpenAI cancels Astra release, Sonnet 5.5 & what Meta Muse means for work

IBM's Mixture of Experts panel examines OpenAI's decision to withhold GPT-6.1 Astra, Anthropic's Sonnet 5.5 blurring the line between mid-tier and top-tier models, and Meta's Muse agent as a bridge between consumer AI habits and enterprise expectations, with a detour into token budgets, model routing, and AI governance.