Jev Media & Talks
55 curated Jev entries. Videos, talks, podcasts, and news coverage about building with Jev.
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All 55 Jev Media & Talks
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Showing 1–48 of 55 resources
A TypeSafe media piece arguing that RLHF-trained language models please humans and assist rather than make reliable autonomous decisions, and asking what class of model comes next.
Jev Media & TalksVideo#official#video#rlhf
Official
A TypeSafe media profile of co-founder and CEO Diogo Almeida, framed around why some AI applications over-promise while capable models can still under-deliver in practice.
Jev Media & TalksVideo#official#video#interview
Official
A three-week timeline of the Jev clone war: the September 15 stealth launch, reported $10B valuation talks, an Amazon engineer's own build, and the $870M round, alongside OpenAI, Amazon, and Cloudflare shipping rivals.
Jev Media & TalksArticle#community#news#funding
Community
GIGAZINE's report on Liquid AI's d1, which it describes as the first decision model to beat Jev on Hugging Face's Decision Index, and a short survey of the clone wave that followed Jev's September launch.
Jev Media & TalksArticle#community#news#benchmarks
Community
Sean Brownell scores sample call transcripts in a harness, including a case where the agent reads out card details, and compares that pass with a frontier-model estimate.
Jev Media & TalksVideo#community#video#evaluation
Community
AIEdTalks part 4 on the batching trick: a loop that resends a long document for every question, versus one call that asks all thirteen.
Jev Media & TalksVideo#community#video#cookbook
Community
Max Jesch, on IBM Developer, walks Jev as a System One model that returns probabilities for classification instead of generating text.
Jev Media & TalksVideo#community#video#explainer
Community
Martin Keen, on IBM Technology, explains Jev as a System One model whose output is a decision rather than generated text.
Jev Media & TalksVideo#community#video#explainer
Community
LangChain maps Kahneman's split onto models: System 1 as the fast automatic decision, System 2 as the slow deliberate one, with Jev in the first role.
Jev Media & TalksVideo#community#video#explainer
Community
AiNow dates the Jev release to September 2026 and walks live demos of a model that returns a decision instead of the next token.
Jev Media & TalksVideo#community#video#demos
Community
Aishwarya Srinivasan's 22-minute end-to-end on using System One models inside software, instead of sending every structured check to a text model.
Jev Media & TalksVideo#community#video#architecture
Community
Dots and Arrows on production checks that need one answer in about 200 milliseconds, and why that is a different job from streaming tokens.
Jev Media & TalksVideo#community#video#explainer
Community
Automate with Marc tests Laya, the open decision model people shorthand as Jev for free, on 100 sales leads beside Claude Code.
Jev Media & TalksVideo#community#video#open-models
Community
Ben Horowitz and Martin Casado interview Diogo Almeida on why capable models have not automated ordinary software, and what Jev is for instead.
Jev Media & TalksVideo#community#video#explainer
Community
Turing Post TV tests Jev from early access in the TypeSafe playground, starting from the constraint that it does not write essays or code.
Jev Media & TalksVideo#community#video#evaluation
Community
India Jade explains RLCD as a response to using a frontier model for a small decision, which is the job TypeSafe trains Jev for.
Jev Media & TalksVideo#community#video#explainer
Community
ML Visualized retells Diogo Almeida's Latent Space point that a launch chart with the new model on top of every row is not something you can trust as a benchmark.
Jev Media & TalksVideo#community#video#evaluation
Community
Tim Fernholz's 18 September 2026 TechCrunch piece on Jev: no text output, synthetic-data training, and a launch that briefly outran the API.
Jev Media & TalksArticle#community#article#launch
Community
IBM's 25 September 2026 Mixture of Experts episode spends a segment on Jev, setting TypeSafe's speed and cost claims against how the company built its benchmarks.
Jev Media & TalksArticle#community#podcast#ibm
Community
Neural Breakdown with AVB livestreams against the TypeSafe Jev API, walking parallel constrained decoding and System One call shapes in code.
Jev Media & TalksVideo#community#video#tutorial
Community
Fireship on Diogo Almeida's System One launch claims: no chat output, and the headline 200× speed and 400× cost multiples.
Jev Media & TalksVideo#community#video#explainer
Community
Bloomberg News clip on TypeSafe's non-chat model and its promise of a cheaper, faster alternative to large language models.
Jev Media & TalksVideo#community#video#media
Community
Patrick Desjardins wires Jev into Cursor for deterministic decisions from the public docs, with blog posts on hundreds of text rules under two seconds.
Jev Media & TalksVideo#community#video#tutorial
Community
Tim Lin's visual explainer on System 1 versus System 2, the Choice, Score, and Noul primitives, and how JevScout uses Jev inside a coding agent.
Jev Media & TalksVideo#community#video#explainer
Community
plain. on Jev as typed answers over state, the September 2026 launch, DCVC seed funding, and Diogo Almeida's InstructGPT background.
Jev Media & TalksVideo#community#video#explainer
Community
VikStack lists ten concepts for Jev: non-autoregressive parallel sampling, 70–500 ms claims, and boolean, enum, and rubric answer shapes.
Jev Media & TalksVideo#community#video#explainer
Community
Aditya Arya signs into early access and tours the UI, tying Jev to RLCD training and 70–500 ms structured decisions instead of chat.
Jev Media & TalksVideo#community#video#tutorial
Community
Innovations for Education explains Jev for no-code and vibe coders when if-then rules need judgment calls like spam or toxicity without burning tokens.
Jev Media & TalksVideo#community#video#explainer
Community
Heroic steps on typed decisions with confidence scores, parallel output speed, the Doom demo, and citations to TypeSafe, The Register, and Every.to.
Jev Media & TalksVideo#community#video#explainer
Community
Riley Brown on a decision model that cannot write: a model router, Choice, Score, and Noul, then speed, cost, and where to get access.
Jev Media & TalksVideo#community#video#explainer
Community
Codevolution's walkthrough of state, questions, and answers, then a customer-message demo in the TypeSafe playground and the TypeScript SDK.
Jev Media & TalksVideo#community#video#tutorial
Community
Yash Thakker's intro to System One, plus 50 open-source demos that compare Jev with a regular LLM, linked from the description.
Jev Media & TalksVideo#community#video#use-cases
Community
Joe Maddalone on using Jev for routing and filtering before a generative model, with demo code in a transcript-analyzer repo.
Jev Media & TalksVideo#community#video#routing
Community
KodeKloud on why a System One model returns calibrated probabilities, then a Papers, Please-style queue where Jev is compared with GPT-5.5 and DeepSeek.
Jev Media & TalksVideo#community#video#explainer
Community
CampusX on Jev as a classifier over schema-constrained choices, with a live benchmark and an e-commerce review demo.
Jev Media & TalksVideo#community#video#explainer
Community
Under the Hood AI compares TypeSafe's closed decision model with Laya, the open model Convai released that can run on a laptop.
Jev Media & TalksVideo#community#video#open-models
Community
Automate with Marc on using Jev to sort, tag, or score fixed answers, including a demo that tagged competitor ads.
Jev Media & TalksVideo#community#video#tutorial
Community
ZAUEY on a model that picks from options you define and returns a probability, and why many questions on one state stay cheap.
Jev Media & TalksVideo#community#video#explainer
Community
TJ Robertson on the jobs that fit a classifier with a confidence score, and the speed and cost he trades against a frontier chat model.
Jev Media & TalksVideo#community#video#routing
Community
Telusko Alien Coach on why generating text is overhead for a classifier, with Vercel's reported speedup and Armin Ronacher's objection.
Jev Media & TalksVideo#community#video#explainer
Community
Prism Labs checks the launch demos against TypeSafe's own footnotes: what they keep from the 70 ms claim, and what they drop from the speed multiples.
Jev Media & TalksVideo#community#video#evaluation
Community
Jaco6 on game demos that feed structured state to Jev instead of screenshots, with TypeSafe's Doom rate and a Mario success note.
Jev Media & TalksVideo#community#video#games
Community
Grayson Ho walks colour sorting, an AI town, a Wikipedia race, model routing, and games, and separates narration from the measured parts.
Jev Media & TalksVideo#community#video#demos
Community
AI with Rithesh rounds up early Jev loops: a drone, games, a browser, email sorting, and one labelled product benchmark.
Jev Media & TalksVideo#community#video#demos
Community
Reindent separates a guaranteed output shape from a correct decision, and treats the launch speed figures as vendor claims.
Jev Media & TalksVideo#community#video#explainer
Community
Nimrod on what the 200× headline is comparing, where a decision model fits, and a DSPy result he treats as the practical number.
Jev Media & TalksVideo#community#video#evaluation
Community
LangChain contrasts an LLM that writes a paragraph and then a boolean with a Noul probability you can threshold, via langchain-typesafe.
Jev Media & TalksVideo#community#video#routing
Community
WitWireAI recreates a spreadsheet that asks Jev to score customer messages by meaning, and labels the clip as a demo rather than a benchmark.
Jev Media & TalksVideo#community#video#classification
Community
Index of all 55 entries
- AI: too good to be true, too bad to be useful | TypeSafe AI
- Diogo Almeida - Founders You Should Know
- TypeSafe raises $870M as rivals ship
- A decision model d1 surpasses Jev
- Scoring support calls for policy breaks
- Thirteen questions, one document
- IBM Developer: probabilities, not words
- IBM Technology: a model that does not write
- System 1 and System 2, for models
- A September walkthrough with live demos
- Where a decision model sits in the architecture
- A 200 millisecond decision, without streaming tokens
- Laya scored against 100 sales leads
- a16z with Diogo Almeida on software that decides
- A playground pass from early access
- RLCD, and the small decision
- Why the launch chart is not a benchmark
- TechCrunch on the model that does not write
- IBM Mixture of Experts on Jev
- Livestream Coding with the TypeSafe JEV Model
- An ex-OpenAI researcher deleted language from the LLM
- Jev, an AI model that can't chat
- Jev Demo with Cursor
- What Is Jev? TypeSafe's System One Model, Explained
- Jev by TypeSafe explained in 8 minutes
- What Is Jev? TypeSafe AI's Decision-Only Model in 10 Concepts
- Got Early Access to Jev | TypeSafe AI's New System One Model
- What Is Jev? TypeSafe's AI Decision Model Explained for Vibe Coders
- This AI Can't Write a Single Word. That's the Point.
- JEV: How It Works and What You Can Build
- What is Jev and How to Use it?
- Jev intro and 50 use cases
- I tried TypeSafe's System One model
- Jev explained, with a live demo
- Jev by TypeSafe AI, a System-1 decision model
- Jev vs Laya
- Jev AI explained, with an ad-tagging demo
- Jev: System One model
- When to use Jev instead of a full LLM
- Jev outputs probabilities, not text
- TypeSafe Jev fact-check
- Jev already playing Doom and Mario
- Decisions inside apps
- What people built in 72 hours
- Type-safe is not the same as right
- What the headline multiples compare
- PII as a probability, not a paragraph
- A spreadsheet column that scores rows
- Four synthetic ticket tests
- Jev is the FIRST of a Whole New Class of AI Models
- Will Jev Replace LLM's? What is Jev From TypeSafe AI
- TypeSafe AI Jev vs. Laya (what they are and the controversy so far)
- JEV Explained in 17 minutes with Code
- Jev Launch Post
- Full Jev Video Tutorial
Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: Ray Amjad puts Jev inside an agentic coding loop and looks at what it costs to run.
YouTube: David Ondrej explains the architecture behind Jev and how to build a business on it.
YouTube: Maximilian Schwarzmüller on the new kind of model that beats LLMs in the areas it was built for.
Discussions about Jev
Threads from Reddit and Hacker News about building with Jev.
Hacker News: Pointer to a DiffusionGemma plus vLLM tutorial for a Jev-shaped classifier.
1 pointHow to build a Jev-style classifier with DiffusionGemma and vLLMRead the thread on Hacker NewsHacker News: SafeDep Gryph plus Jev checks for compromised coding-agent behavior.
2 pointsDetecting Compromised AI Coding Agents with Jev and GryphRead the thread on Hacker NewsHacker News: Thread on Selmar's Jev code-review calibration notes and ordering.py comparisons.
Lectem2 pointsCalibrating Jev as a Code ReviewerRead the thread on Hacker NewsHacker News: Qualitative researchers classifying participant free text with Jev at negligible cost.
effisfor13 pointsI was impressed by Jev, please explain why I shouldn't beRead the thread on Hacker NewsFrom the Jev community
Posts from builders shipping with Jev right now.