TypeSafe's Jev classified 100,000 complaint narratives in 82.2 seconds using its prompt_jev() function, with no LLM generating the per-row answers, according to a launch benchmark that put Jev at $0.5…
Developer jlt-commons released Lev, an open-source decision engine that exposes the same wire API as TypeSafe's Jev classifier model and adds an escalation path to a local 2.5B LLM when the fast encod…
TypeSafe shipped a model called Jev on 15 September 2026 that returns typed answers with probabilities instead of generating text, a category TypeSafe calls a System One model. Jev accepts a state and…
Typesafe AI's Jev, the company's first public model, entered early access in mid-September as a "System One" model that returns typed decisions with probabilities instead of generating text. Typesafe …
TypeSafe AI released a non-generative model called Jev on September 15 that answers typed questions about program state in a single parallel pass, reportedly in the low hundreds of milliseconds, and d…
A reinforcement learning system called ViperQ, built on Auction Market Theory primitives, achieved +163.6% ROI on TSLA with a -27.5% max drawdown across 27,019 trades and +116.5% ROI on NVDA with a -4…
A five-question daily routine called the CIS-5 can train the brain to resist misinformation by building mental antibodies against manipulation, according to a Psychology Today article. The protocol ta…
A developer argues that AI-generated code cannot replace human judgment, domain understanding, and system thinking, warning that overreliance on AI tools leads to skill atrophy and shallow solutions. …
A developer built pi-tree, a self-hosted AI reading companion that uses tree-structured conversations to allow branching and backtracking during reading sessions. Unlike typical RAG-based tools, pi-tr…
A 14-year-old developer with no coding background built BlackBox, a web app that calculates a user's cognitive state based on six peer-reviewed factors including stress, sleep, and decision fatigue. T…