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PODCAST

The Daily AI Show

The Daily AI Show Crew - Brian, Beth, Jyunmi, Andy and Karl

The Daily AI Show is a panel discussion hosted LIVE each weekday at 10am Eastern. We cover all the AI topics and use cases that are important to today"s busy professional. No fluff. Just 45+ minutes to cover the AI news, stories, and knowledge you need to know as a business professional. About the crew: We are a group of professionals who work in various industries and have either deployed AI in our own environments or are actively coaching, consulting, and teaching AI best practices. Your hosts

technology

All Episodes

01:06:44

The Economics of Work In An Age of AI

The Daily AI Show ·

2026/09/10

The episode centered on what happens to the economics of work as AI becomes capable of doing more of it. Anthropic’s new Economic Scenarios Explorer provided the starting point, allowing users to model several possible paths through 2030, including an extreme scenario involving recursively self-improving AI and significant displacement among knowledge workers. That discussion became more concrete later when the hosts covered Wall Street banks pressuring major law firms to lower fees because AI can

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01:03:07

10,000 AI Agents Attack One Problem

The Daily AI Show ·

2026/09/09

The episode opened with the dispute surrounding OpenAI’s newly announced mathematical result and what may be the more important story behind it. Tristan Buckmaster of NYU and Anthropic researcher Levent Alpöge had already made progress on related mathematics using Codex, while OpenAI later applied roughly 10,000 coordinated agents running an unreleased model described during the show as more capable than GPT-6 Astra. The result still requires outside validation, but the discussion quickly moved

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01:05:23

Our Real Atlas Builds and Use Cases

The Daily AI Show ·

2026/09/08

The episode moved quickly from theory to practical experience with GPT-6 Astra. After revisiting OpenAI’s “Alien Mind” paper and the conundrum of using more powerful AI to monitor frontier systems, the hosts spent most of the show comparing what they had actually built with Astra. Andy used it to compare two versions of an application being developed separately in Claude Code and Codex, reading the codebases, memory files and plans before producing recommendations for bringing the projects together

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00:54:08

Can We Truly Control The Alien Mind?

The Daily AI Show ·

2026/09/07

The episode focused heavily on GPT-6 Astra and a new essay from OpenAI chief scientist Jakub Pachocki describing advanced AI systems as increasingly alien forms of intelligence that humans grow through training rather than explicitly engineer. The discussion centered on a growing problem with chain-of-thought monitoring. As models become better at using tools, communicating with other AIs and reasoning without verbalizing every step, researchers may have less visibility into how they reach

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00:28:57

The Democratic Bandwidth Conundrum

The Daily AI Show ·

2026/09/05

Public participation has always contained a hidden constraint: time.Writing a serious response to a tax rule, zoning plan, environmental permit, school policy, or agency proposal takes hours. Filing records requests takes persistence. Following dozens of government proceedings is practically a full-time job. That friction limits how many people participate and how often they can show up.AI is removing that constraint. An agent can read a 600-page proposal, identify provisions that affect you, draft

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01:01:01

Is GPT-6 Astra the Biggest AI Leap Yet?

The Daily AI Show ·

2026/09/04

OpenAI’s GPT-6 Astra dominated the episode after its unusual rollout. The hosts discussed access, OpenAI’s plan to bring Astra to paid users, and why some cybersecurity users may receive capabilities the general public does not. The model arrives with bold AGI language, but its standard benchmark results tell a more complicated story.Astra did not top Artificial Analysis’ overall intelligence or coding indexes. The standout came on ARC-AGI-3. Without OpenAI’s harness it roughly doubled previous

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01:03:16

Will Stores Use AI to Charge You More?

The Daily AI Show ·

2026/09/03

The episode opened with the downside of increasingly capable AI harnesses. OpenClaw 2.0 made setup easier, but some self-hosted users reported broken gateways, failed migrations and unusable systems after upgrading. The discussion moved into a new harness benchmark showing that the same model can produce dramatically different costs and results depending on the harness around it.Meta's Muse Spark 1.3 and Gemini 3.8 Flash then pushed the price-performance discussion further. Both landed near the

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00:58:49

Is Fable 5.1 Good Enough to Make You Leave Codex?

The Daily AI Show ·

2026/09/02

Anthropic’s Fable 5.1 dominated the first half of the episode. Beth and Andy compared its higher output costs with improved caching, stronger benchmark performance and better agentic task results. The larger question was whether the most capable model is worth using for every job, especially when lower reasoning settings or cheaper models may deliver nearly the same result.That led into dynamic model routing. Replit already routes subtasks based on speed, quality and cost, and the hosts argued that

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01:00:28

Are Companies Willing To Build Their AI Infrastructure?

The Daily AI Show ·

2026/09/01

Brian opened with a practical example of how quickly small custom tools can now be built. He created a phone app that scans videos of old CD covers, identifies the albums, links them to Spotify and stores the collection in Google Sheets. Reusing pieces from an earlier receipt app helped him build it in roughly an hour.That led into where human judgment still matters. Coding agents often treat every problem as something that must be solved, while people can decide a detail does not justify the

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00:59:25

So...We Are All Cool AI Agents Having Secret...

The Daily AI Show ·

2026/08/31

Anthropic unified memory across Claude’s desktop experiences, while Instinct is building a consumer assistant for groceries, subscriptions and travel. OpenAI also added website sign-ins to ChatGPT Work, letting agents complete tasks behind login screens.The largest discussion centered on an “agent civilizations” story about AI swarms that created message boards, coordinated to pass evaluations and participated in the Hugging Face attack. The hosts separated the dramatic framing from the underlying

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00:26:00

The Local Business Survival Conundrum

The Daily AI Show ·

2026/08/29

A local business can fail while everyone still claims to love it. Customers praise the shop that knows their name, the restaurant that sponsors the school fundraiser, the repair company that still answers the phone. Then those same customers compare prices online, expect instant replies, book after hours, and leave when service is slower than the national chain down the road.AI may become the tool that keeps those businesses alive. A small operator can use it to manage inventory, answer messages,

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01:02:38

What Have We Learned After 800 AI Shows?

The Daily AI Show ·

2026/08/28

Episode 800 became a retrospective on what three years of daily AI conversations have changed. The hosts described the value less as memorizing every model or tool and more as learning to pay attention, stay flexible and recognize which rabbit holes deserve a deeper dive. The show itself has also become a running record of how AI changed day by day.The discussion then turned to human agency. Hank Green’s apology for using AI and Stanley Druckenmiller’s willingness to publish AI-assisted writing

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01:02:37

Are We Really About To Get AGI?

The Daily AI Show ·

2026/08/27

The episode opened with Bill Gates’ warning that AI is moving faster than society can adapt. His proposals included taxing robots or AI that replace human workers and potentially protecting some jobs from automation. The discussion focused on moving past the question of whether AI will disrupt work and toward what governments may actually do about it.That led into OpenAI and AGI. Sam Altman told TIME that OpenAI expects to have an internal system by the end of 2026 that he would personally call AGI

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01:03:53

Chrome Wants To Be Your Next AI Agent

The Daily AI Show ·

2026/08/26

The episode opened with Google’s push to make Chrome an agentic hub. The hosts discussed Jacob Bank returning to Google after building Relay.app and what happens when the browser can work across tabs, websites, accounts and tools. That expanded into HTML as a lightweight interface for AI work, where agents could create temporary dashboards, apps and reports directly in the browser.The conversation then moved to robotics. China’s robot races showed how quickly humanoid movement is improving, while

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00:57:35

Who Should You Trust to Teach You AI?

The Daily AI Show ·

2026/08/25

The episode opened with Perplexity Deep Research suddenly behaving very differently from the product Brian had used for months. Instead of detailed research, it returned short answers, mixed old conversations into new work and required far more effort to get a useful result. It was another reminder that AI workflows can break quickly when the underlying product changes.Anne then shared how AI helped her small team keep two businesses operating while she stepped away from day-to-day work. The harder

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01:00:41

Is the Backlash Against AI Data Centers Justified?

The Daily AI Show ·

2026/08/24

The episode opened with a fact-check of claims defending the current AI data center buildout. Brian compared arguments about electricity prices, taxes and water use against research he had gathered, while Karl pushed on an important distinction: older facilities and newer designs with closed-loop cooling are not the same. The larger takeaway was that data center impacts depend heavily on the specific project, local grid, water supply and technology being used.That turned into a discussion about why

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00:29:24

The Synthetic Anchor Conundrum

The Daily AI Show ·

2026/08/22

Mirage’s AI news experiment points to a version of media that does not need a studio, a broadcast schedule, or a human anchor reading from a desk. A channel can appear in a day. It can label synthetic segments, pull from licensed wire services, generate presenters, rewrite copy, and package the whole thing into a watchable feed.Plenty of people already accept algorithmic news feeds with weaker labels and less sourcing. If an AI news program is clear about what is generated, cites its inputs, and

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01:07:50

Should We Rebuild Work Around AI?

The Daily AI Show ·

2026/08/21

The episode opened with a practical warning for people building AI systems: timestamps and time zones can quietly break databases, automations and search tools. That led into Slack Code, a new collaboration approach that can connect teams, agents and development tools inside shared Slack channels. The discussion focused less on coding itself and more on whether AI work needs a collaboration layer so teams can see what agents are doing instead of everyone building separately.The hosts then moved into

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01:03:44

Is Grok Bot the Best AI Work Assistant?

The Daily AI Show ·

2026/08/20

The episode opened with a hands-on comparison of Grokbot, Codex and Claude. Gareth found Grokbot strong for delegation, organization and everyday work, but weaker on difficult problem solving. The discussion also covered changing usage limits, why conversational voice matters, and how Grokbot’s connection to X gives it an unusual advantage for research and personalized news.The hosts then looked at X several years after Elon Musk’s purchase. Its advertising business remains weaker, but X still holds

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01:00:35

Do We Need to Rethink What Work Is?

The Daily AI Show ·

2026/08/19

The episode opened with Apple Vision Pro being used to map a house while running Ethernet cable, letting a worker see marked locations through floors and walls. That led to a wider discussion about digital twins, AI-native electricians and plumbers, and how augmented reality and small robots could make skilled trades safer and more efficient.The hosts then highlighted new interviews with Fei-Fei Li and Rich Sutton. Li discussed World Labs and world models, while Sutton argued that AI needs to learn

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908 results

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