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Jensen Huang's internal apology memo leaked, admitting an affair, and NVIDIA's board has opened an independent investigation into the national security concerns raised in news reports. Anthropic launched Claude Fable 5.2 and Mythos 5.2, and Shane and Abhi share whether they can actually feel the difference from Opus 5.5.
Researchers at MIT got GPT-6 Astra to edit the weights of a small Qwen model directly, taking it from 7.9% to 48.1% on MATH-500, and Abhi explains model weights and gradient descent from scratch. It was also acquisition season: Conductor is joining Meta, HumanLayer is joining Factory, OpenAI is acquiring Pierre Computer and Oura is buying Counsel Health. Plus Gemini 4 Carbon, Genie 4, GPT-Image-2.6, Le Chonk, Claude Whiteboards, MCP or CLI, Notion's shared agent brain, Grok Bot 1.0 and Mastra Knowledge.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
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An AI agent got its user banned from Resy after firing off around 200 booking requests an hour. As more apps go headless and agents sign up, browse and call APIs for you, the button you used to rely on stops working as a security layer.
Allie Howe from Keycard is back for Security Corner. She, Shane and Abhi dig into why UI has been hiding security holes for years, what happens when an agent crawls every endpoint you publish, and whose identity an agent should use when it acts on your behalf.
You'll also hear about rate limits for an internet where anyone can script anything, prompt injection through WebMCP, where approvals go when there's no UI, consent fatigue, and why MCP might be a better front door for agents than a REST API. Allie also explains ID-JAG, the new protocol behind Enterprise-Managed Authorization for MCP.
Recorded live on AI Agents Hour, a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
👤 ABOUT ALLIE
Allie on X: https://x.com/vtahowe
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Security had a rough week. Two old PHP bugs combined into a critical remote code execution flaw that leaked before the patch; GitLab disclosed a 12-year-old hole in self-managed servers; the private keys behind eight eMudhra certificates proved breakable; and LiteLLM shipped credential-stealing malware for the second time. Railway, which runs part of the Mastra platform, had a security incident that exposed environment variables, and Abhi explains what happened and what to do if you deploy there.
The model releases kept coming too: GPT-6.1 Terra, DeepSeek V4.1 Flash, Kimi K3.1 Pro, MiniMax M3.1 Flash and Meta's Muse Spark Open. Shane and Abhi also cover Anthropic's S-1 filing, Claude Duet, Block's Dessa voice model, Thariq leaving Anthropic, Chroma joining Replit, and a round of quick hits.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays at 12 PM Pacific.
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Brad Leford has been building software for 20 years and now spends most of his time helping small businesses figure out AI. His new side project, Plum, is a video calling app built for teams and AI agents.
Any agent from any harness can join a Plum meeting through a link, using WebMCP to learn what it can do: listen, raise its hand, talk, and share assets. In the demo, Mastra agents keep the meeting on track while a Grok Bot session builds slides on request. Recordings and transcripts stay on your own disk instead of a vendor's cloud.
Brad, Shane, and Abhi also talk about whether software is actually easy now, why the Mastra team decided it had AI psychosis, and what happens when agents and humans share context in the same room. And Brad shares the moment that pushed him to ship: Grok Bot taught Claude how to share an image, live in the meeting.
Recorded live on AI Agents Hour, a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
👤 ABOUT BRAD
Plum: https://useplum.app
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OpenAI found a recording device hidden in one of its offices and traced it back to an employee. Meanwhile the model releases kept coming: Mistral Large 4 aka Le Chonk, Claude Haiku 5.5, Meta's Muse Wonder and Gemini 4 Argon, which is finally available to everyone. OpenAI also dropped a pile of AI-solved math problems in a single day, and decision models are on round three with Jev's $870M Series A, SubQ Snap, Microsoft-Decision-1 and Clef-omni.
Anthropic built its own source control to keep up with 30,000 code changes a day, updated its usage policy to ban abusing Claude, and reportedly lobbied the Pope on machine consciousness. Shane and Abhi also cover NVIDIA and Reflection AI, Microsoft's Maia 300 chips, an agent that posted its owner's bank balance to Slack, the Personal Agent Protocol and open source clones of Adobe's apps.
Recorded live from the CodeRabbit studio in San Francisco.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
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AI agents write code faster than CI can check it. GitHub reports a 4x jump in Actions minutes since 2023, and Anthropic says CI became its biggest bottleneck after job volume grew 25x in six months.
Daniel Worku, co-founder and CTO of StarSling, joins Shane and Abhi to talk about what CI looks like when agents write most of the code. Faster hardware helps, but StarSling also runs a background agent, built on Mastra, that A/B tests changes to your CI and opens a PR when it finds a speedup.
Daniel explains why agents make CI so expensive: more PRs, piles of low-value unit tests, and stacked PRs that rerun everything. He also makes the case that most unit tests aren't worth running, and that CI as we know it may not survive.
You'll also hear how Mastra's own CI went from half-hour waits to a fraction of that, and why code review is the next bottleneck. StarSling's new Review Runners let you bring your own model and run reviews on the same infrastructure as your CI.
Recorded live on AI Agents Hour, a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
👤 ABOUT DANIEL
Daniel on X: https://x.com/dbworku
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Anthropic's IPO prospectus leaked, showing a $2 trillion valuation target on $4.6 billion in revenue, with a quarter of that coming from two customers. Google is back in the frontier race with Gemini 4 Argon, which tops the Vals Index and can output up to a million tokens at once. Decision models are suddenly everywhere: OpenAI's Decisions API, OpenRouter's new category, Cloudflare's Clef, GLiDE, Respan's Span-01 and Kev.
The White House got the big labs to sign an accord on superintelligence, Factory fired an advisor who then became Cognition's CRO, and Vinod Khosla picked a side in public. Shane and Abhi also talk about why maintainers like Sindre Sorhus and Hono are closing external PRs, and go through quick hits including Turso joining Supabase, OpenDots, Conductor Mobile, Karpathy on explainer videos, Claude Code mods, and a video model that passes the Turing test.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
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OpenAI DevDay 2026 happened, so Shane and Abhi jumped on a special live episode of Agents Hour to go through everything that was announced and share their takes.
The big launch is Dots, OpenAI's always-on personal agent, which arrives right after Grok Bot and Meta's Muse. There's also GPT-6.1 Sol, a speed tier called Ultrafast, Codex Security Cloud, a Decisions API that goes after Jev, computer use in the Agents API, and a lot of new ChatGPT features (Spaces, Pages, slides, meetings) that compete with Google Docs, Notion and a long list of startups. The $200 Pro plan came back with half the usage, next to a new $500 tier.
They also talk about choosing your lock-in, what "Sign in with ChatGPT" means for Devin, and the funniest reactions online: the Dots demo flop and xAI buying dot.com to redirect it to Grok Bot.
AI Agents Hour is a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
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Anthropic might be back. Opus 5.5 performs at Fable 5.1 level for 40% less, and Sonnet 5.5 dropped the same day we went live, beating Opus on Terminal-Bench 4. OpenAI answered with GPT-6 Sol and Luna and a rumored long-running agent called Aeon. Meta launched Muse at Connect, then hired MongoDB's CEO to lead a new enterprise platform.
Welcome back to Builders Learn ML with Professor Andy! In this episode we're talking about training your own AI models.
Should you train your own model? Maybe. But probably not yet. If you haven't nailed your prompts, workflows and evals, training won't fix your agent, and it only starts to pay off once you're running millions of tokens a day. In this episode, you'll learn when it's worth it and how to do it.
There are two main techniques for training your own AI models: supervised fine-tuning (SFT) and reinforcement learning (RL). SFT teaches a smaller, cheaper model to copy a stronger one using thousands of good examples from your agent. RL gives an open-weight model like Qwen, GLM or Kimi a task and rewards it when it gets a good result, so it figures out its own way there.
The hard part of RL is the reward. Score it badly, and you get reward hacking, where the model learns that doing nothing is the safest way to avoid a penalty.
They also talk about RL environments and Harbor, unit tests vs LLM judges as verifiers, how much data you need, why good evals are worth having even if you never train, and where to start learning on your own.
Andy Lyu is the co-founder and CTO of Osmosis (YC W25), a platform that helps companies train their own models with reinforcement learning. Before Osmosis he was a tech lead on TikTok's real-time recommendations and data infrastructure team.
Recorded live on AI Agents Hour, a weekly livestream by Mastra CPO Shane Thomas and CTO Abhi Aiyer. Mondays 12PM Pacific.
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The AI Agents show that discusses hot topics in the world of AI, talks with guests building AI agents and applications, and shows the actual code of how AI applications are being built today.…