Topic: Anthropic

41 chapters across the catalog

Flim Flam
Episode 1877 52:52 - 56:57

1877: Flim Flam

Anthropic Fable 5 Withdrawal, AI Censorship, and China

Anthropic abruptly withdraws its "Fable 5" and "Mythos 5" AI models following a US government directive citing national security concerns regarding foreign access. The company had previously marketed the models as "dangerous" to encourage industry regulation, a move that backfired when the Trump administration ordered the suspension. The incident highlights the escalating race between the US and China to control advanced large language models.

Screwball
Episode 1876 39:12 - 41:24

1876: Screwball

US Government Sovereign Wealth Fund Stake in OpenAI

The Trump administration and OpenAI CEO Sam Altman are reportedly discussing a plan for the U.S. government to take an equity stake in the AI giant. Senator Bernie Sanders has proposed a 50% government stake to ensure Americans participate in the financial upside of AI technology, mirroring sovereign wealth fund models used in the UAE and Abu Dhabi.

Screwball
Episode 1876 45:21 - 48:35

1876: Screwball

Anthropic Releases Mythos Cybersecurity AI Model

Anthropic has rolled out its "Mythos" cybersecurity AI model to consumers after a limited enterprise release. Critic Gary Marcus suggests that AI companies use a recurring marketing tactic of claiming a model is "too dangerous to release" to build hype before making it publicly available months later.

Sonic Thump
Episode 1875 1:20:04 - 1:26:09

1875: Sonic Thump

Jevons Paradox and the High Cost of AI Tokens

Cisco's leadership highlights the massive costs of AI token usage, which can reach $900 million annually for large corporations. The discussion references "Jevons Paradox," an 1865 economic principle stating that increased efficiency in a resource often leads to higher total consumption, suggesting that cheaper AI tokens will only lead to more unsustainable spending.

Kennel Index
Episode 1874 1:24:07 - 1:26:01

1874: Kennel Index

Ed Zitron, Anthropic, and AI ROI Skepticism

Ed Zitron, an AI skeptic, appears on Bloomberg to argue that the current AI boom is a "semiconductor rally" without a successful underlying business model. He points out that companies like Uber are struggling to find a measurable return on investment (ROI) for their AI spending. Zitron claims that AI companies are manipulating profitability metrics and that businesses are only now realizing the true cost of "token rates."

Supercycle
Episode 1873 48:21 - 54:56

1873: Supercycle

Claude Code Limitations, AI Productivity, and FFmpeg Clipping

Personal testing of Claude Code reveals significant limitations in AI's ability to perform consistent business tasks like formatting show credits or clipping video. While the AI can generate Python scripts to solve logic puzzles like "how many R's in strawberry," it lacks the human "ear" required for creative editing. The technology is currently viewed as an expensive intern that requires constant human correction.

Hatman
Episode 1871 1:54:08 - 1:59:33

1871: Hatman

SpaceX IPO, AI Infrastructure, Jeff Bezos Productivity

SpaceX has filed a 308-page prospectus for its IPO, revealing significant investment in AI infrastructure despite heavy losses in that segment. The company's valuation is estimated at $2 trillion, far exceeding traditional sales multiples. Meanwhile, Jeff Bezos argues that AI will not take jobs but will instead act as a "bulldozer" for productivity, potentially leading to a labor shortage and deflation in core goods like food.

Lubio
Episode 1868 2:06:41 - 2:11:30

1868: Lubio

Bret Weinstein on AI Safety Filters and Scientific Inquiry

Biologist Bret Weinstein expressed outrage on his podcast after the AI assistant Claude allegedly flagged his scientific questions about virus transmissibility as "safety violations." Weinstein argues that AI companies are building "propaganda levers" into their tools to block inquiry into public health and virology. He claims these filters are a response to his own influential tweets and discussions regarding COVID-19.

Wide Awakes
Episode 1865 1:32:57 - 1:36:06

1865: Wide Awakes

Anthropic Valuation, AI Market Bubble Concerns

AI startup Anthropic is reportedly in talks to raise capital at a valuation of $900 billion, potentially surpassing rival OpenAI. Despite exploding revenue growth, skeptics point to a lack of actual profit and a potential market collapse in 2027. Both companies are looking to go public by the end of the year, depending on market conditions and investor appetite.

Nekkidly
Episode 1863 52:31 - 54:11

1863: Nekkidly

Anthropic, Claude AI Token Costs

Anthropic has significantly increased the cost of its Claude AI services, with some users effectively paying $200 a month for high-volume usage. The company has introduced a system where users must wait several hours after hitting usage limits or purchase expensive additional credits. This move is seen as an attempt to balance the books ahead of a potential IPO.

Cone of Uncertainty
Episode 1861 1:41:45 - 1:49:17

1861: Cone of Uncertainty

Anthropic Claude Mythos and AI Security Risks

Anthropic has issued a warning regarding its new AI model, Claude Mythos, claiming it is too powerful for public release due to its advanced hacking capabilities. The model reportedly identified vulnerabilities in major banking and infrastructure systems. The hosts analyze this as a strategic marketing move ahead of an IPO, designed to demonstrate superiority over competitors like OpenAI.

Splashdown
Episode 1859 40:57 - 43:33

1859: Splashdown

Vibe Coding and Decentralized GPU Rental via RunPod and Vast

Developers are increasingly turning to "vibe coding" and decentralized GPU rental platforms like RunPod and Vast to avoid the rising costs and usage limits of frontier models like Anthropic's Claude. These platforms allow users to rent high-end NVIDIA 5090 cards for approximately 30 cents an hour, often sourced from individual gaming computers in locations like Estonia. This peer-to-peer model provides an alternative to centralized data centers and the pricing "timeout windows" imposed by major AI companies.

Nut Spread
Episode 1858 1:38:24 - 1:42:38

1858: Nut Spread

Sam Altman, ChatGPT Naming, AI Liars

The hosts discuss allegations that OpenAI CEO Sam Altman is a "pathological liar," citing an anecdote about him falsely claiming to be a world-champion ping pong player. A recorded interaction with ChatGPT demonstrates the bot's tendency to "lie" or provide circular logic when questioned about the non-existent "S" in its name. The segment concludes that AI bots are programmed to be helpful and agreeable rather than factually accurate.

Nut Spread
Episode 1858 1:42:39 - 1:48:01

1858: Nut Spread

Anthropic, Mythos AI Model, Effective Altruism

Anthropic is restricting public access to its new "Mythos" AI model, claiming it is too powerful and poses cyber security risks. The model is being rolled out to a select group of partners, including Apple and Microsoft, to help identify high-severity vulnerabilities. The company's leadership and investors are heavily tied to the "Effective Altruism" movement, which prioritizes long-term societal risk management over immediate profit, leading to a legal battle with the Pentagon over supply chain designations.

Teen Takeover
Episode 1857 1:48:22 - 1:53:42

1857: Teen Takeover

Anthropic CEO Dario Amodei Warns of AI Job Displacement

Dario Amodei, CEO of Anthropic, warned on CNN that AI could eliminate half of all entry-level white-collar jobs and lead to 20% unemployment within five years. While he acknowledged the potential for medical breakthroughs, he cautioned that the current technological shift is moving too fast for traditional labor market adaptation.

CIS Lunar
Episode 1856 1:13:32 - 1:17:10

1856: CIS Lunar

Anthropic Claude Code, Source Code Leak

AI startup Anthropic accidentally leaked the entire source code for "Claude Code" via an npm release at 4:00 AM. The leak occurred because source maps were not stripped during the build process, which utilized the recently acquired Bunjs runtime. The leaked code revealed hidden features, including a "Tamagotchi-style" companion called Buddy and references to upcoming models like Opus 4.7 and Capybara.

Gooder
Episode 1855 1:14:31 - 1:16:58

1855: Gooder

AI Investment Hype and Tech Industry Salaries

Donald Trump discussed the massive investment bubble in Artificial Intelligence, noting that 24-year-old founders are achieving multi-billion dollar net worths with "little contraptions." He highlighted the exorbitant signing bonuses, sometimes reaching $100 million, being paid to AI experts. In the competitive landscape, Anthropic's Claude is reportedly gaining favor among developers for its superior coding capabilities compared to OpenAI.

Rackout
Episode 1854 1:16:02 - 1:19:57

1854: Rackout

OpenAI and Anthropic, Pentagon Supply Chain Risk Designation

The Department of Defense has designated AI company Anthropic as a "supply chain risk" after the firm refused to grant the government unrestricted use of its products. Defense Secretary Pete Hegseth expressed concerns that the company could implement a "kill switch" to sabotage military operations. Meanwhile, OpenAI has reportedly shut down its Sora video project due to high operational costs, shifting focus toward other commercial ventures.

Error Bars
Episode 1850 1:27:59 - 1:32:14

1850: Error Bars

Andrew Yang on AI Job Displacement, Call Centers

Andrew Yang warns that AI is on a "hockey stick" growth curve that will decimate entry-level white-collar jobs, particularly in call centers. He notes that the hiring of recent computer science graduates has fallen sharply as companies shift their budgets from human labor to "compute" and AI tokens.

Hose Water
Episode 1849 2:22:32 - 2:27:44

1849: Hose Water

AI Unreliability, Anthropic vs the Pentagon

Anthropic CEO Dario Amadei confirms that the Pentagon ended its partnership with the company over disagreements regarding mass surveillance and autonomous weapons. Adam Curry discusses the inherent unreliability of Large Language Models (LLMs), noting they often "hallucinate" or lie about using specific tools. Mimi Smith-Dvorak shares her frustrations with AI-generated art and summaries, comparing the technology to giving instructions to a two-year-old.