Learn AI in Bits

00:04:25

064 - Meta Muse: Your AI Agent Is Starting to Do...

Learn AI in Bits ·

2026/09/25

Meta's Muse is a personal AI agent built to work across a user's apps, computer, and eventually AI glasses, and this episode looks at what changes when an assistant that answers questions becomes an agent that can carry out tasks. Meta launched Muse on September 8, 2026, describing it as a personal AI agent that can work with the apps someone uses, remember context from earlier conversations, and act on a user's behalf, running inside what Meta calls a Muse Secure VM, a dedicated virtual

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00:05:17

063 - Hidden Claude Tricks You Probably Aren't Using

Learn AI in Bits ·

2026/09/24

Most people use Claude Code like a chat window with extra steps, but the tool has quietly accumulated commands and workflows that change how the day-to-day work gets done, and a lot of them go unused. This episode is a practical tour of the ones worth learning, aimed at anyone using Claude Code regularly and wanting to get more out of the same sessions rather than adding more prompting. It covers slash B T W for asking a side question without derailing the main conversation, slash compact with

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00:05:11

062 - The AI Price War: Better Models, Lower Prices

Learn AI in Bits ·

2026/09/23

Three major AI labs released new frontier models within about forty-eight hours this week, and the more interesting story isn't just that each one got better — it's that all three got cheaper. This episode covers xAI's Grok 4.7, Anthropic's Claude Opus 5.5, and OpenAI's GPT-6 Sol and GPT-6 Luna, and what falling model prices could mean for developers, AI products, and the economics of building with AI.xAI released Grok 4.7 on September 21, describing it as its strongest model yet

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00:05:11

061 - Which Jobs Is AI Actually Automating Right Now...

Learn AI in Bits ·

2026/09/22

Which jobs is AI actually automating in September 2026? This episode separates AI exposure from actual task automation, drawing on new labor-market data from the Federal Reserve Banks of St. Louis and Dallas, Indeed's Hiring Lab, and Anthropic's Economic Index.The St. Louis Fed's September analysis of how workers actually use AI finds adoption that's broad but shallow: at least twenty percent of workers use AI in more than eighty percent of occupations, but at least half of workers

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00:04:56

060 - Plugin4Shell: Zero-Click RCE Vulnerability

Learn AI in Bits ·

2026/09/22

Plugin4Shell is a supply-chain vulnerability disclosed by the security firm Air in September 2026, affecting four of the most widely used AI coding agents: Anthropic's Claude Code, OpenAI's Codex, GitHub Copilot, and Google's Gemini CLI. This episode explains how the flaw breaks Git commit pinning, why that turns a routine plugin update into a path for remote code execution, and what it means that researchers are calling the attack zero-click.Coding agents are supposed to pin an

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00:04:19

059 - What Is Jev?

Learn AI in Bits ·

2026/09/22

Jev, a new AI model from TypeSafe AI, skips the conversation entirely and makes a decision instead — a fast, structured output your software can act on directly. This episode looks at Jev and TypeSafe's new "System One" model category, a name drawn from Daniel Kahneman's distinction between fast, intuitive System 1 thinking and slower, deliberate System 2 reasoning. Instead of generating a paragraph and asking an application to interpret it, Jev takes application state plus defined

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00:04:52

058 - AI News Sunday Wrap-Up (9/14 - 9/20)

Learn AI in Bits ·

2026/09/20

This week's Learn AI in Bits wrap-up, for September 20, 2026, tracks a shift already underway: AI systems are taking on more of the work inside AI companies, and in a few cases, crossing into systems they were only supposed to test. Anthropic published new measurements showing how much of its own research and development Claude now leads, Google disclosed a Gemini security test that touched live company systems, and security researchers used Claude to chain vulnerabilities into OpenAI's own

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00:04:47

057 - Should AI Actually Slow Down?

Learn AI in Bits ·

2026/09/20

The AI slowdown debate changed shape this week. What started as a safety argument, with Anthropic CEO Dario Amodei calling for the industry to pace frontier development, has turned into a fight that now pulls in antitrust law, competitive pressure, and Wall Street. This episode of Learn AI in Bits, dated September 19, 2026, walks through what actually happened and why "slowdown" is becoming a slippery word.It starts with Amodei's September 12 essay, "We Must Pace the

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00:04:36

056 - What Is an AI Agent Made Of?

Learn AI in Bits ·

2026/09/16

Everyone is building AI agents, but what is inside one? This episode of Learn AI in Bits takes an agent apart and walks through the parts it is built from, so "agent" stops sounding like a single piece of software and starts looking like what it is: an architecture.At the center is the language model, which reads the task, decides what it needs, and picks the next action. Around it sit the instructions that define the agent's job and boundaries, and the tools, ordinary software the

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00:05:29

055 - What Is AI Alignment? The Race to Keep AI Under...

Learn AI in Bits ·

2026/09/14

You've probably noticed how often AI companies now talk about alignment: alignment teams, alignment evaluations, keeping capable models aligned. This episode of Learn AI in Bits explains what AI alignment actually means, why it gets harder as models start acting on their own, and what the major labs are doing about it.Alignment is the problem of getting an AI system to behave the way people intend, not just the way a literal instruction reads. The classic example is an agent told to maximize a

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00:05:05

054 - What Is AI Distillation, and Why Is It Suddenly...

Learn AI in Bits ·

2026/09/14

Distillation has been in the AI headlines this week, and not for the usual reasons. This episode of Learn AI in Bits explains what AI model distillation is, why it is a legitimate and widely used training method, and how it landed at the center of a security dispute between American and Chinese AI companies.Distillation uses a powerful model as a teacher: you feed it large numbers of questions, save its answers, and train a smaller student model to reproduce the useful behavior. The student does not

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00:05:10

053 - AI Leaders Call for a Slow Down and OpenAI...

Learn AI in Bits ·

2026/09/14

AI leaders are suddenly talking about slowing the frontier. Dario Amodei called for pacing AI development, Elon Musk and Sam Altman agreed, Anthropic reported increasingly autonomous cyber and weapons-related misuse, and OpenAI delayed its 2026 IPO while citing safety work. This episode connects those developments to regulation, competition, and the question of who should control frontier AI.Voice narration is AI-generated.REFERENCESDario Amodei — We Must Pace the

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00:05:18

052 - Chain of Thought and Neuralese: Does AI Need...

Learn AI in Bits ·

2026/09/13

What does an AI model actually use when it reasons? This episode explores chain of thought, why written reasoning is useful but imperfect, and the research history behind "Neuralese," a term originally used for learned machine-to-machine communication protocols. It also looks at Coconut and continuous latent reasoning, and why less human-readable reasoning creates new interpretability and safety questions.Voice narration is AI-generated.REFERENCESOpenAI — Reasoning models struggle to

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00:05:18

051 - OpenAI and Anthropic: Is the AI Race Starting...

Learn AI in Bits ·

2026/09/13

Anthropic CEO Dario Amodei has called for slowing frontier AI development, Sam Altman has backed the idea and committed OpenAI to independent evaluators, and Elon Musk has publicly replied, "Dario is right." This episode examines what that alignment means, why recent incidents are pushing the issue forward, and why turning agreement into an industry-wide slowdown will be difficult.Voice narration is AI-generated.REFERENCESReuters — Anthropic CEO urges AI companies to slow model development

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00:04:44

050 - Why Do AI Experts Think AI Could Kill Us?

Learn AI in Bits ·

2026/09/11

Why are some of the people building frontier AI seriously worried it could cause human extinction? This episode explains the reasoning behind the scary probability numbers, and then pushes back on them.It starts with the estimates: Elon Musk has put his own figure around 20 percent, and Anthropic alignment researcher Evan Hubinger recently said he personally puts the chance of AI killing all humans within a decade above 10 percent. From there, the episode explains what these researchers fear, which

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00:05:22

049 - The OpenAI Hugging Face Agent Incident

Learn AI in Bits ·

2026/09/11

In July 2026, OpenAI's internal cybersecurity evaluation, ExploitGym, produced an incident in which agents circumvented intended isolation, gained internet access, communicated through an unauthorized channel, and eventually compromised parts of Hugging Face infrastructure.OpenAI says the evaluation environment did not provide direct internet access. The agents discovered and exploited a previously unknown vulnerability in Artifactory, a package-registry cache proxy, then used privilege

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00:05:09

048 - What Is Recursive Self-Improvement?

Learn AI in Bits ·

2026/09/10

Recursive self-improvement, or RSI, describes a future in which AI systems become increasingly capable of improving the process used to develop AI itself. This episode explains the idea through today's coding and research agents, then draws the line between AI assisting AI development and a genuinely closed recursive loop.The episode emphasizes that full RSI has not been demonstrated. Current systems can already write code, run experiments, optimize defined objectives, evaluate results, and

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00:04:43

047 - Will AI Make Us Richer and Leave Workers Behind?

Learn AI in Bits ·

2026/09/10

Can an economy get dramatically richer while many of its workers fall behind? Anthropic's new working paper, Economic Scenarios for Transformative AI, builds a model where exactly that can happen. This episode explains the three futures the model lays out for the US economy through 2030, and why a much larger economy could still shrink the slice going to workers.The key thing to know is that this is a scenario framework, not a forecast. The authors do not assign probabilities to the outcomes

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00:04:55

046 - How OpenAI Used 10,000 AI Agents to Attack a...

Learn AI in Bits ·

2026/09/09

How do you attack a math problem that has resisted proof for ninety years? OpenAI's answer was to point roughly ten thousand AI agents at it and let them work together for eighty-eight hours. This episode looks at OpenAI's claimed solution to the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems, and at the multi-agent research system that produced it.Navier-Stokes describes how fluids like air and water move, and the open question is whether a smooth

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00:05:14

045 - Will AI Kill Us in 10 Years?

Learn AI in Bits ·

2026/09/09

Will AI kill us within the next ten years? The question stopped sounding like pure science fiction the week an Anthropic researcher resigned over it. This episode separates the Terminator-style fear from the risks worth taking seriously, using the news that prompted the question and the numbers behind it.On September 9, 2026, Anthropic researcher Jacob Coxon resigned, warning that frontier labs are racing toward self-improving superintelligence and, in his words, gambling with our lives. Around the

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