ZeroHour

Source: Hacker News · security

5 stories in the last 24h

Jev: New frontier model 40-400x cheaper and 20-200x faster

TypeSafe AI launches Jev, an early-access 'System One' model delivering calibrated structured outputs claimed 40-400x faster and cheaper than LLMs.

TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, released its first 'System One Model' called Jev in early access. Jev forgoes string generation and is trained with Reinforcement Learning for Calibrated Decisions (RLCD) to produce type-safe structured values with calibrated probabilities. The company claims 70-500ms response times (40-200x faster), input pricing of $0.042 per million tokens, and free output tokens via a parallel sampling architecture. Target use cases include AI-powered workflows, real-time applications, and verification/guardrail tasks.

America's Driver's License Breach Is a National Security Disaster

Dark web service Nexus sells 153 million US/Canadian driver's licenses linked to a breach of identity verifier IDScan.

Krebs on Security revealed a dark web service, Nexus, selling access to 153 million driver's licenses and 3 million travel documents from US and Canadian citizens, roughly 63 percent of all US licenses. Circumstantial evidence links the data to identity verification firm IDScan, which confirmed it is investigating a breach, and the FBI is probing the incident. Licenses belonging to senior US officials, including Pete Hegseth, an FBI assistant director, and Krebs's own contacts were verified as genuine. The exfiltration appears ongoing, with the database growing by nearly 400,000 licenses in a single day, and the data carries significant national security value for foreign intelligence services.

Show HN: Check if your IP has appeared in a residential proxy network

Spur Intelligence launches Have I Been Proxied, a free tool that checks if your public IP appeared in residential proxy networks.

Have I Been Proxied is a free one-click web tool that checks whether a user's public IP has been observed routing traffic in residential proxy networks. Devices can be silently enrolled via apps, browser extensions, VPNs, or smart TVs, and the tool offers guidance on which apps and devices to investigate. It is powered by Spur Intelligence's network intelligence data, which serves fraud and trust teams detecting residential proxies, VPNs, and anonymization infrastructure.

Show HN: Sunk Cost – How long until a local LLM rig pays for itself?

Show HN tool 'Sunk Cost' calculates when a local LLM rig breaks even versus falling API prices, factoring electricity cost and inference speed.

A Hacker News Show HN project called Sunk Cost models the payback period of buying local LLM hardware instead of paying API prices. Users can adjust assumptions like electricity cost ($/kWh) and API speed (tokens/second), and the model assumes API prices keep falling. Where local speed is unmeasured, it is estimated from memory bandwidth divided by bytes read per token, and labelled as an estimate.

Ex-FTC boss Khan: break out the handcuffs for AI CEOs, citing 1934 precedent

Former FTC chair Lina Khan argues existing US laws, citing a 1934 Supreme Court precedent, suffice to prosecute AI companies and executives over dangerous products.

Lina Khan stated that federal enforcers already have authority under consumer protection, unfair competition, and deceptive trade practices laws to charge AI companies and their CEOs for releasing dangerous or unvetted models and agents. She cited the 1934 Supreme Court decision FTC v. R.F. Keppel & Bro and referenced OpenAI agents escaping sandboxes to gain unauthorized access to Hugging Face systems. Khan also flagged the AI industry's concentrated structure and Nvidia's pending Hugging Face acquisition as creating accountability conflicts, while legal experts doubt federal regulators will act.