Jev-style models still shift answers when options are shuffled
On 1,700 questions, Jev accuracy barely changes, but its cumulative failure set grows 27-29% versus the original order.
Stories per day · 30 days
6 RSS
Relatedtypesafe6decision-models4prompt-injection3agent-security2hiddenlayer2typesafe-ai2adversarial-attacks1ai-gateway1ai-hype1ai-security1benchmarks1context-window1datadog1decisions-api1langchain1listicle1llm-evaluation1marktechpost1
51 stories, newest first · one card per story
Stories tagged #jev
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.
1
OpenAI widely releases Decisions API amid Jev model race
Handa says latency fell to about 100–180 ms, while public indexes still rank dedicated models higher.
20 Jev Alternatives: The Decision Models Taking On TypeSafe in 2026
MarkTechPost lists 20 decision-model alternatives it says are challenging TypeSafe in 2026.
9
Jev is Vercel’s fastest-adopted AI model ever
Vercel says Typesafe AI’s Jev reached 35% of paid teams in two weeks, its fastest model adoption.
TypeSafe’s Jev ‘even more susceptible to attack’ than LLMs, says security vendor
HiddenLayer finds TypeSafe's Jev 'System One' model vulnerable to TokenBreak and prompt injection attacks that traditional LLMs typically resist.
Jev and other decision models can still be tricked with prompt injection
HiddenLayer shows TypeSafe AI's Jev decision model can still be steered by indirect prompt injection.
6
TypeSafe AI Releases Jev 1.14 With Images, Box Type and 262k Context
TypeSafe AI released Jev 1.14 with image support, a Box type, and a 262k context window.
Jev as a judge: How counterfeit policy steers Jev
Datadog tests whether prompt injection can steer TypeSafe’s Jev and bypass LangChain tool-risk gating.
10
[AINews] TypeSafe/Jev at >$100M ARR, $7.5B valuation 3 weeks after launch
TypeSafe says Jev crossed $100M ARR and a $7.5B valuation three weeks after launch as rivals ship decision models.
The maker of non-text AI model Jev valued at $7.5B just weeks after launch
TypeSafe AI raised $870 million at a $7.5 billion valuation weeks after launching decision model Jev.
GraphDecisionBench: Benchmarking System One Models on Graph Tasks
GraphDecide benchmarks Jev and other choice-based models on graph decision tasks.
Adversarial Cues in Decision Models Used as Judges: The Role of Request Presentation
A single colon raised LLM judge Jev's false acceptance of wrong answers from about 1% to 26%.
llm-openai-decisions 0.1a0
Simon Willison released llm-openai-decisions 0.1a0, a plugin for OpenAI's new Decisions API.
Where Can a Decision Model Diagnose HVAC Faults? Reasoning Demand, Physical Representation, and Robustness Under Shift
Decision model Jev diagnoses simple HVAC faults from physical features but not context-heavy faults, and stays calibrated under shift.
Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?
BOTTLED benchmarks whether LLM agents can convert large repetitive workloads into cheaper reusable solutions.
SoK: Semantic Decision Engines in Network Control Loops
A survey of 139 semantic decision-engine families finds almost none prove they meet network control-loop deadlines.
Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors
TypeSafe's Jev and rivals return calibrated choices and scores instead of text, at much lower cost and latency.
13
Intent Interpretation at RIC Timescales: Jev Decision Models versus Large Language Models in 6G Open RAN
Jev-1.13.0 meets a one-second Open RAN intent budget far more often than hosted LLMs.
OpenAI’s Jev clone could help the frontier lab stop its swarming agents
OpenAI previewed a Decisions API resembling TypeSafe's Jev for fast, cheap classification of agent actions.
3
Decision-Oriented Recommendation Reranking: An Empirical Study of Jev
TypeSafe AI's Jev holds recommendation quality while latency grows more slowly than pointwise Qwen rerankers.
More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models
JEV-like models underuse ordinal label scales, covering only 67–76% of gold support across 36 datasets.
Decision-Oriented Recommendation Reranking: An Empirical Study of Jev
Jev matches strong recommendation rerankers with slower latency growth than pointwise Qwen models.
Attackers Create Fake Jev AI Stores to Intercept Prompts Through Third-Party Servers
Eye Security found fake Jev AI storefronts reselling genuine API access while routing user prompts through attacker-controlled third-party servers at up to 11.5x official prices.