Price Elasticity: The One Data Point That Could Clarify AI’s Impact on Jobs

Price Elasticity: The One Data Point That Could Clarify AI’s Impact on Jobs

Silicon Valley’s conversations about AI often sound like inevitabilities: sweeping automation, mass displacement, and workplaces remade by powerful models. Those scenarios have driven anxiety among workers and intense debate among researchers. But one practical problem underlies much of the confusion: we lack the right economic data to predict how AI-driven productivity gains will actually affect employment. Without that missing piece,

Anthropic’s Claude Leak: 8,000 Takedown Requests After an Accidental Source-Code Exposure

Anthropic’s Claude Leak: 8,000 Takedown Requests After an Accidental Source-Code Exposure

Anthropic has scrambled to contain the fallout after an accidental exposure of the complete source code for its Claude family of AI tools. The company issued roughly 8,000 copyright takedown requests to remove copies and adaptations circulating on code-hosting sites and mirrors, responding to a wave of reposts and forks that appeared within hours of the initial disclosure. Although Anthropic

Inside the Claude Code Leak: What Anthropic’s Accidental Release Reveals

Inside the Claude Code Leak: What Anthropic’s Accidental Release Reveals

Anthropic, the AI company behind the Claude family of agents, suffered an unexpected exposure that rippled across the developer community and the wider AI market. Earlier today, a sizable JavaScript source map file—bundled with a public npm release—made internal implementation details of Claude Code visible to anyone who downloaded it. What began as a packaging mistake quickly became a public

Anthropic’s Claude Mythos Leak: When Pre-Release Secrets Meet Cybersecurity Risk

Anthropic’s Claude Mythos Leak: When Pre-Release Secrets Meet Cybersecurity Risk

Anthropic recently found itself at the center of an avoidable but consequential security incident: leaked internal drafts revealing the existence of an unreleased, high-capability model called “Claude Mythos.” The exposure—rooted in an unsecured, publicly searchable data cache—pulled back the curtain on product plans, internal risk assessments, and even references to an exclusive executive event. For organizations building powerful AI, the

LiteLLM Supply Chain Breach — 95M Downloads, Import-Time Backdoor, and What Teams Must Do Now

LiteLLM Supply Chain Breach — 95M Downloads, Import-Time Backdoor, and What Teams Must Do Now

The Python package ecosystem suffered another high-impact supply chain compromise: LiteLLM — a popular library that routes requests across large language model providers and sees tens of millions of downloads — shipped malicious code in recent PyPI releases. Two versions published on March 24, 2026 (1.82.7 and 1.82.8) contained an import‑time backdoor that escalates into credential harvesting, lateral movement, and