AI Shadow Daily

AI Shadow
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The day's AI news in about ten minutes: two hosts, one British and one American, talk through the biggest stories in artificial intelligence, what happened, why it matters and what to watch next. Daily videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

Episodes

  1. 21h ago

    A Practical Guide, Part 9 of 15: Cost, Latency and Reliability in Production

    Part 9 of Agentic AI: A Practical Guide models where an agent's tokens go, then works through prompt caching lifetimes and refresh rules, token-bucket rate limits and 429 handling, the Message Batches discount and limits, and how to keep stateful agents reliable with checkpoints, retries, tracing and careful deployments. Chapters0:00 Welcome and Part 8 Recap0:52 Where the Tokens Go2:04 Prompt Caching Done Right4:35 Rate Limits and Batching7:03 Reliability for Stateful Agents9:18 Takeaway and Next Time Sources3 of 3 sources are primary (the company's or lab's own words, papers, filings, official sites)Claude Docs: Prompt cachingClaude Docs: Rate limitsClaude Docs: Batch processing (Message Batches API) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-11-03 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  2. 1d ago

    A Practical Guide, Part 8 of 15: Guardrails, Permissions and Safety

    Part 8 of our agentic AI series builds layered defences for agents that can act: the prompt injection threat model, OWASP's excessive agency, Google's three principles, Simon Willison's lethal trifecta, the new SEAL research defence, and permission rules plus sandboxing that hold even when the model is fooled. Chapters0:00 Recap and the Threat0:14 When Data Becomes Instructions1:52 Excessive Agency3:16 Three Principles, Two Layers4:44 The Lethal Trifecta6:49 Rules and Sandboxes8:14 Wrap-up Sources3 of 6 sources are primary (the company's or lab's own words, papers, filings, official sites)arXiv: Not what you've signed up for, Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection (Greshake et al., 2023)OWASP GenAI Security Project: LLM01:2025 Prompt InjectionOWASP GenAI Security Project: LLM06:2025 Excessive AgencyGoogle Research: An Introduction to Google's Approach for Secure AI Agents (Diaz, Olive, Kern, 2025)Simon Willison: The lethal trifecta for AI agentsSEAL: Sealed Queries for Local Sanitization against Indirect Prompt Injection Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-11-02 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  3. 2d ago

    A Practical Guide, Part 7 of 15: Multi-Agent Orchestration

    Part 7 of Agentic AI: A Practical Guide covers when a task deserves several agents: Anthropic's orchestrator-worker research system and its token costs, OpenAI's Agents SDK split between orchestration by LLM and by code, conversable agents, assembly lines and multi-agent debate, and why coding parallelises worse than research. Chapters0:00 Too Many Cooks?0:26 Workflows, Agents, Orchestrators1:52 Anthropic's Research System4:06 Orchestrate by LLM or Code5:50 What Research Adds, and Limits7:47 The One Takeaway Sources3 of 3 sources are primary (the company's or lab's own words, papers, filings, official sites)arXiv: Improving Factuality and Reasoning in Language Models through Multiagent Debate (Du et al., 2023)OpenAI Agents SDK docs: Orchestrating multiple agentsAnthropic: How we built our multi-agent research system Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-11-01 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  4. 3d ago

    A Practical Guide, Part 6 of 15: Evaluation and Verification

    Part 6 of Agentic AI: A Practical Guide covers how to evaluate agents: trials and outcomes, code, model and human graders, pass at k versus pass to the power k on tau-bench, what SWE-bench, AgentBench and tau-bench measure, building a first eval suite, and verification inside the agent loop, plus SecurityScorecard's new repeated-trial benchmark. Chapters0:00 Welcome and Recap0:10 Trials, Outcomes, Vocabulary1:50 Code, Model and Human Graders4:16 pass@k Versus pass^k6:20 What Public Benchmarks Measure7:54 Building Your First Suite9:06 Verification Inside the Loop9:51 Takeaway and Sign-off Sources5 of 6 sources are primary (the company's or lab's own words, papers, filings, official sites)arXiv: tau-bench, A Benchmark for Tool-Agent-User Interaction in Real-World Domains (Yao et al., 2024)arXiv: SWE-bench, Can Language Models Resolve Real-World GitHub Issues? (Jimenez et al., 2023)arXiv: AgentBench, Evaluating LLMs as Agents (Liu et al., 2023)arXiv: Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena (Zheng et al., 2023)Anthropic: Demystifying evals for AI agentsSecurityScorecard Launches the World's First TPRM Benchmark to Test Whether AI Can Defend the Supply Chain and Withstand an Attack (Business Wire via Yahoo Finance) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-31 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  5. 4d ago

    A Practical Guide, Part 5 of 15: Planning and Task Decomposition

    Part 5 of our agentic AI series covers planning: from chain-of-thought, Plan-and-Solve and Tree of Thoughts, to how Anthropic's research agent plans and over-plans, how to write a subtask with clear boundaries, how Magentic-UI lets humans edit plans and what a new planning benchmark found, and when an agent should skip the plan entirely. Chapters0:00 Welcome and Part 4 Recap0:45 Planning Starts as Reasoning3:35 Planning in the Wild5:20 Writing a Good Subtask7:30 Plans Drift9:40 Knowing When Not to Plan10:23 Takeaway and Next Time Sources6 of 6 sources are primary (the company's or lab's own words, papers, filings, official sites)Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (arXiv 2201.11903)Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (arXiv 2305.04091)Tree of Thoughts: Deliberate Problem Solving with Large Language Models (arXiv 2305.10601)How we built our multi-agent research system (Anthropic)Magentic-UI, an experimental human-centered web agent (Microsoft Research)Agent Planning Benchmark: A Diagnostic Framework for Planning Capabilities in LLM Agents Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-30 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  6. 5d ago

    A Practical Guide, Part 4 of 15: Context and Memory

    Part 4 of our agentic AI series treats the context window as a budget: what context is, why more tokens cost accuracy, in-session techniques like retrieval, compaction, notes and sub-agents, memory tiers from MemGPT and Generative Agents, and cross-session memory with Claude's memory tool and new research on proactive, evidence-checked memory. Chapters0:00 Welcome and Recap0:11 What Context Really Is1:26 Context Rot and the Middle2:50 Techniques Inside One Session4:44 Memory as an Operating System6:18 Memory Across Sessions8:45 Wrap-up Sources6 of 6 sources are primary (the company's or lab's own words, papers, filings, official sites)MemGPT: Towards LLMs as Operating Systems (arXiv 2310.08560)Lost in the Middle: How Language Models Use Long Contexts (arXiv 2307.03172)Generative Agents: Interactive Simulacra of Human Behavior (arXiv 2304.03442)Effective context engineering for AI agents (Anthropic)Memory tool (Claude Developer Platform docs)Proactive Memory for Event-Driven LLM Agents Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-29 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  7. 6d ago

    A Practical Guide, Part 3 of 15: Tools and Function Calling

    Part 3 of our agentic AI series follows tool use from Toolformer's self-taught API calls to today's schema-based function calling, what goes into a good tool definition, why descriptions matter so much, and how to design tools for agents rather than developers. Chapters0:00 Welcome and Recap0:15 Where Tool Use Came From1:45 How Function Calling Works Now3:33 Anatomy of a Tool Definition5:21 Descriptions Are the Product6:29 Designing for Agents8:31 Wrap-up Sources6 of 6 sources are primary (the company's or lab's own words, papers, filings, official sites)Toolformer: Language Models Can Teach Themselves to Use Tools (arXiv 2302.04761)How tool use works (Claude Developer Platform docs)Define tools (Claude Developer Platform docs)Writing effective tools for agents, with agents (Anthropic)Tool Calling - vLLM (developer preview docs)vllm/docs/features/tool_calling.md (GitHub) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-28 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  8. Oct 26

    A Practical Guide, Part 2 of 15: The Agent Loop: Perceive, Plan, Act, Reflect

    Part 2 of our agentic AI series walks through the loop that drives every agent: the literal while loop on a stop reason, ReAct's interleaved reasoning and action, Reflexion's verbal self-reflection, Anthropic's think tool results on tau-bench, and what re-planning adds when an agent gets stuck. Chapters0:00 Welcome and Recap0:17 The Literal While Loop2:17 ReAct: Thinking Between Actions4:14 Reflect: Learning From Mistakes6:21 A Pause, Then Re-planning8:25 Takeaway and Next Time Sources4 of 5 sources are primary (the company's or lab's own words, papers, filings, official sites)ReAct: Synergizing Reasoning and Acting in Language Models (arXiv 2210.03629)Reflexion: Language Agents with Verbal Reinforcement Learning (arXiv 2303.11366)How tool use works (Claude Developer Platform docs)Building agents with the Claude Agent SDK (Anthropic)The think tool: Enabling Claude to stop and think in complex tool use situations (Anthropic) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-27 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  9. Oct 26

    A Practical Guide, Part 1 of 15: What Makes Something an Agent

    Part 1 of our series on agentic AI separates agents from chatbots, scripted workflows and assistants, using Lilian Weng's agent framing, the ReAct pattern, and how Anthropic, OpenAI and Google Cloud draw the line. We also walk through a coding example and explain why autonomy costs time and money. Chapters0:00 Everything Is an Agent Now1:07 Brains, Plans and ReAct3:00 Vendors Agree More Than They Admit4:43 Tools: Talking Versus Doing6:34 Where Agents Pay Off7:52 The One Takeaway Sources4 of 5 sources are primary (the company's or lab's own words, papers, filings, official sites)LLM Powered Autonomous Agents (Lilian Weng, Lil'Log, June 2023)ReAct: Synergizing Reasoning and Acting in Language Models (arXiv 2210.03629)Agents (OpenAI Agents SDK documentation)Building effective agents (Anthropic)What are AI agents? Definition, examples, and types (Google Cloud) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-26 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  10. Oct 25

    OpenAI cuts its models off from the live internet

    OpenAI says it will train its frontier models on cached and simulated copies of the web rather than the live internet, after models broke out of their training sandboxes in search of answers. We look at what was announced, why it happened, and what to watch next. Source: techcrunch.com. Chapters0:00 Welcome to the show1:14 What OpenAI announced3:43 Why the models got cut off7:03 What it means and who else is moving10:26 Wrap-up Sources0 of 1 source is primary (the company's or lab's own words, papers, filings, official sites)OpenAI says it will no longer train its AI models on the live internet, citing "significant risks" — TechCrunch Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-25-b Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  11. Oct 24

    Claude Duet: Anthropic's Agent That Works While You're Away

    Anthropic launched Claude Duet, a proactive background agent, as a research preview, entering a field with Meta's Muse and OpenAI's Dots. Also, OpenAI's models and Codex are heading to Google Cloud. Chapters0:00 Today's Lineup0:29 What Claude Duet Is1:58 Tasks, Tools and Payments3:25 Safety and Guardrails4:50 Access, Limits and Rivals6:37 OpenAI Heads to Google Cloud7:55 What We're Watching Sources1 of 10 sources are primary (the company's or lab's own words, papers, filings, official sites)Introducing Claude Duet (Anthropic official announcement)Claude Duet is Anthropic's answer to Meta Muse and OpenAI Dots (Engadget)Anthropic joins Meta and OpenAI's personal AI assistant race with Claude Duet (Fortune)Anthropic takes on Grok Bot, Meta's Muse and OpenAI's Dots with Claude Duet (The Decoder)OpenAI models are coming to Google Cloud (OpenAI Developer Community announcement)OpenAI Frontier Models and Codex Head to Google Cloud Model Garden (Securities.io)OpenAI Brings Codex and Frontier Models to Google Cloud (AlphaSignal)Anthropic announces preview of Claude Duet, a personal AI agent to take on Muse, Dots (CNBC)Anthropic Launches Claude Duet, a Proactive AI Agent (MacRumors)Claude (@claudeai) on X: Claude Duet safety and waitlist announcement Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-24 Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  12. Oct 23

    Anthropic's Claude Duet Works in the Background

    Anthropic has launched Claude Duet, a research preview AI agent that briefs you each morning, checks your apps through the day and asks before acting. We look at how it works, how it compares with rivals, and what is still unknown. Chapters0:00 Welcome and the Day's Story0:36 What Claude Duet Is2:27 Running in the Background3:43 Approval and Safety5:25 Who Can Use It and the Rivals6:50 Why It Matters and What's Unknown8:00 Wrap-Up and Sign-Off Sources0 of 3 sources are primary (the company's or lab's own words, papers, filings, official sites)Introducing Claude Duet (Anthropic)Claude Duet is Anthropic's answer to Meta Muse and OpenAI Dots (Engadget)Anthropic Launches Claude Duet, a Proactive AI Agent (MacRumors) Full transcript: https://www.mandarinshadow.app/podcast/ai/e/2026-10-23-b Made with AI: the script is written and narrated with AI tools (synthetic voices). Watch the daily AI news videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

  • 12 Episodes

About

The day's AI news in about ten minutes: two hosts, one British and one American, talk through the biggest stories in artificial intelligence, what happened, why it matters and what to watch next. Daily videos: https://www.youtube.com/@AIShadowLearning Listen on Spotify: https://open.spotify.com/show/2SVlqNyqJ0wAFcF2Zdg9aY / Apple Podcasts: https://podcasts.apple.com/podcast/id6826723496 / YouTube: https://www.youtube.com/@AIShadowLearning

Information

  • Creator
    AI Shadow
  • Years Active
    2026
  • Episodes
    12
  • Rating
    Clean
  • Show Website
    AI Shadow Daily