Author says TypeSafe AI’s Jev hype has already collapsed
The note calls Jev a cheap classifier that can still be wrong, and says open-weight rivals beat it on cost.
The note calls Jev a cheap classifier that can still be wrong, and says open-weight rivals beat it on cost.
Vercel says Typesafe AI’s Jev reached 35% of paid teams in two weeks, its fastest model adoption.
Decision models from TypeSafe, OpenAI, and Cribl offer scored answers aimed at SOC alert triage.
HiddenLayer shows TypeSafe AI's Jev decision model can still be steered by indirect prompt injection.
TypeSafe AI released Jev 1.14 with image support, a Box type, and a 262k context window.
Datadog tests whether prompt injection can steer TypeSafe’s Jev and bypass LangChain tool-risk gating.
TypeSafe AI raised $870 million at a $7.5 billion valuation weeks after launching decision model Jev.
OpenAI previewed a Decisions API resembling TypeSafe's Jev for fast, cheap classification of agent actions.
TypeSafe AI launched Jev, a closed decision model that returns typed, calibrated choices for agent loops.
Check Point shows TypeSafe AI's Jev decision model can be prompt-injected into flipping verdicts for about 50 cents.
TypeSafe AI introduces Jev, a new LLM category that returns numeric decisions for yes/no questions, ratings, and confidence scores.
Meta's AI assistant Muse has a serious zero-day vulnerability allowing app and terminal commands to control its account token.
TypeSafe AI launched Jev, a transformer-based 'System One' model API returning typed, calibrated decisions with probabilities, claiming 193x faster and 445x cheaper than LLMs.
Convai Innovations released Laya, an open-source Apache 2.0 family of non-autoregressive decision models claiming 6-8x faster inference than TypeSafe AI's Jev.
TypeSafe AI, founded by ex-OpenAI RLHF inventor Diogo Almeida, released Jev, a non-LLM transformer outputting calibrated probabilities for cheap software automation.
TypeSafe AI launches Jev, a judgment-only model built by ex-OpenAI staff that classifies inputs with 70-500 ms latency instead of generating text.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
Today 791 readers · 1K views · 470 reads · all time 168K views