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Anthropic's Mythos project exposes trillion-dollar cyber risk in Bitcoin Core

Tuesday, April 14, 2026 · from 3 podcasts
3 SOURCESStacker News LiveTFTCAI Daily Brief
  • A proprietary AI can now chain zero-day exploits to breach any system, including Bitcoin Core.
  • Banks used the AI security panic to cover an emergency meeting on a $1T private credit hole.
  • The only viable defense is a decentralized, open-source counterforce to centralized labs.

Anthropic’s Mythos AI doesn’t just find bugs - it strings them together to gain root access to critical systems. According to reports from Project Glasswing, the model has already found real zero-days in foundational software like FFMPEG and OpenBSD. On Stacker News Live, Austin argued this marks a permanent shift: if a proprietary 'God model' can pwn every browser and operating system, static defenses are obsolete.

"This isn't theoretical; the model reportedly discovered real zero-days in FFMPEG and OpenBSD."

- Austin, Stacker News Live

The intelligence is being weaponized for corporate war. Private labs are running internal models far more capable than their public releases, creating a centralized, lethal knowledge base. The hosts on SNL noted the trillion-dollar tension: if Anthropic sits on a zero-day for Bitcoin Core, the financial consequences are catastrophic. The only counterbalance, they suggest, is decentralized compute projects like Open Agents.

On TFTC, Marty Bent and John Arnold viewed the sudden government alarm over Mythos as a convenient distraction. Treasury and the Fed summoned bank CEOs for an emergency meeting, citing AI safety. The real agenda, they argued, was the $1 trillion hole in the private credit market, where insurers like Carlisle are already blocking investor withdrawals. A financial panic provided the quiet cover to brief CEOs without starting a bank run.

This crisis accelerates the convergence of AI architecture. As Nathaniel Whittemore detailed on The AI Daily Brief, the industry is moving toward universal 'harness engineering' - building the systems and loops that allow a model to act. Companies like Anthropic are building 'managed agents,' treating the execution harness as disposable to keep pace with smarter models. When everyone uses the same agent loops, the advantage shifts to who controls the model and the data.

"The tension lies in access. If Anthropic sits on a zero-day for Bitcoin Core, the stakes are trillion-dollar consequences."

- Austin, Stacker News Live

The security paradigm is broken. The old model of finding and patching vulnerabilities can’t keep up with an AI that discovers and weaponizes them in real-time. Software must move to a dynamic, AI-versus-AI arms race. The labs with the most powerful proprietary models hold all the cards, and as the SNL hosts concluded, leaks are inevitable within months.

AI InfrastructureSafetyBig TechBTC Markets
Marty BentNathaniel WhittemoreAnthropicBitcoinBitcoin CoreFederal Reserve

Source Intelligence

What each podcast actually said

Stacker News Live
Stacker News Live

SNL #219: Killing Satoshi • Apr 13

  • The hosts discuss a New Yorker article characterizing Sam Altman as dishonest, citing his firing from OpenAI's board and claims of misleading Anthropic's founder about AI safety commitments.
  • The hosts express concern that Mythos could find zero-day vulnerabilities in critical open-source software, including Bitcoin Core, posing a significant security threat if capabilities are locked away.
  • Keon sees the open-agents movement, where people sell compute for Bitcoin, as a bullish counterbalance to centralized AI power and a potential defense against models like Mythos.

Also from this episode:

War (1)
  • Keon discusses a story about an F-15E Strike Eagle aircraft with two airmen being shot down over Iran.
Mining (3)
  • Dan, a Bitcoiner in Iceland, shares his experience with a home Bitcoin mining heater called the Open Two from a company called 21 Energy.
  • Dan reports his mining unit achieved 43 terahash per second but was too loud, and that his total household power consumption was nearly 4,000 kilowatt hours over three months at a cost equivalent to $681.
  • Dan earned 115,000 sats, worth about $80, from his mining heater over the same period, projecting a 26-month payback period for the device.
Adoption (1)
  • NeedCreations launched btcedu.app, a Bitcoin education archive where users can earn points and withdraw 100 sats after accumulating 1,000 points.
Protocol (3)
  • Keon cites Brian Quintin's Myers-Briggs survey showing Bitcoiners heavily skew toward INTJ (34%) and INTP (22%) personality types, diverging significantly from the general population.
  • Aardvark proposes a quantum-safe Bitcoin transaction scheme using Lamport signatures, which results in a 10,000-byte script size and requires 150 dummy signatures with hash commitments.
  • The hosts discuss the upcoming movie 'Killing Satoshi,' directed by Doug Liman and starring Pete Davidson, Casey Affleck, and Gal Gadot, which fictionalizes an investigator trying to expose Bitcoin's creator.
AI & Tech (1)
  • Anthropic is working with 40 companies through 'Project Glasswing' to test its new AI model, Mythos, for cybersecurity vulnerabilities before a public release.
ModelsSafetyMacroPsychologyAI Infrastructure
TFTC: A Bitcoin Podcast
TFTC: A Bitcoin Podcast

Marty Bent

Ten31 Timestamp: You Say Ceasefire, and I Say Escalation • Apr 13

  • Marty and John observe Bitcoin's relative strength, trading around $71,800, acting as a risk-off asset during geopolitical and financial uncertainty, contrary to past liquidity crises.
  • John suggests a fractured, multipolar global order, where just-in-time supply chains falter and trust diminishes, creates an ideal environment for Bitcoin as a neutral, sovereign store of value.
  • Anthropic's Mythos AI model is presented as a significant step function improvement, with reports of it finding zero-day bugs in critical software, prompting national security concerns and government attention.
  • Marty references reports suggesting Anthropic's Mythos AI model is not as groundbreaking as claimed, with existing models capable of similar zero-day discoveries, which are illegal to exploit.

Also from this episode:

War (1)
  • Marty Bent notes US Navy blockaded Iranian ports in the Strait of Hormuz, following brief talks between JD Vance and an Iranian faction, leading to oil market escalation.
Markets (1)
  • John highlights a map from Rory Johnson showing a significant redirection of Very Large Crude Carriers (VLCCs) to the US Gulf, indicating a shift in oil market leverage towards the US amid global artery closures.
Trade (1)
  • China is curbing sulfuric acid exports starting in May, responding to perceived US leverage and potential disruption to metal processing, phosphate fertilizers, and fibers.
Politics (1)
  • John theorizes the urgent meeting of Wall Street leaders with Treasury and Fed officials, ostensibly about Mythos' cybersecurity risks, might be a 'red herring' to discuss broader systemic financial issues.
Business (2)
  • Marty highlights warnings from the Treasury about private equity and credit exposure for insurance companies, identifying a potential 'trillion-dollar hole' as a slow-moving liquidity crisis.
  • An AMBEST report indicates annuity-selling insurance funds are in a significantly worse financial position than before the 2008 crisis due to private credit exposure.
BankingMacroModelsTradeInflation
The AI Daily Brief: Artificial Intelligence News and Analysis
The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore

Harness Engineering 101 • Apr 13

  • Latent Space presents a central tension between big model and big harness approaches, citing an AI framework founder's fear that OpenAI might not want them to exist.
  • Whittemore notes Anthropic's Managed Agents product embodies a meta-harness philosophy, building interfaces that remain stable even as specific harness implementations become disposable due to model improvement.
  • Anthropic observed Claude Sonnet 4.5 exhibited context anxiety, requiring harness resets, but this behavior disappeared with Claude Opus 4.5, illustrating how harness assumptions go stale.
  • Brigitte Bocular distinguishes between an inner harness built by model creators like Anthropic and an outer harness built by users to tailor agent performance to specific codebases or goals.

Also from this episode:

AI & Tech (5)
  • Nathaniel Whittemore frames harness engineering as the critical focus beyond prompt and context engineering, encompassing all systems, tooling, and access mechanisms that enable a model to function effectively.
  • Cursor 3 exemplifies harness engineering as a unified workspace allowing engineers to oversee fleets of autonomous agents without micromanaging individual tasks or juggling disparate tools.
  • Kyle at humanlayer.dev argues harness engineering addresses unexpected failure modes in non-deterministic systems by configuring agents with skills, MCP servers, subagents, and memory.
  • Nicholas Charrier identifies a great convergence where diverse companies like Linear, OpenAI, Anthropic, Notion, and Google are all adopting similar general harness architectures for looping agents.
  • Blitzy reported a 66.5% performance score on SWE-bench Pro, outperforming GPT 5.4's 57.7%, demonstrating how a sophisticated harness and context infrastructure can surpass raw model capability.
AgentsEnterpriseAI Infrastructure

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