CommunityJev Media & Talks
This AI Can't Write a Single Word. That's the Point.
Heroic steps on typed decisions with confidence scores, parallel output speed, the Doom demo, and citations to TypeSafe, The Register, and Every.to.
- Format
- Video
- Published by
- Community
- Author
- Heroic steps
- Last verified
- Sep 2026
Works forJev for Classification
Used inJev for Software & DevTools
Highlights
- Description cites an independent Every.to hands-on test alongside launch posts.
- Covers funding skepticism reporting in The Register, not only TypeSafe marketing.
- Calls out the catch when the right answer is not in the supplied option set.
Watch out
Summarizes other outlets; rewatch those pieces for primary measurements.
Questions about this entry
Short answers drawn from the linked project or page.
The entry copy says the video covers funding-skepticism reporting in The Register rather than only vendor material, which is the more interesting half. It does not document the specific figures, so the primary claims live in the cited reporting, not here.
Cites it. The description points at an Every.to hands-on test alongside the launch posts, and the entry copy says this video summarizes other outlets and that you should go to those pieces for the primary measurements. The source page carries no transcript or figures to verify.
That is the catch the entry copy records: the model cannot pick an answer that is not in the set you gave it. How often that happens, and how you would catch it from the confidence value, is not documented in the video or the entry copy.
Not in anything recorded here. The entry copy covers typed decisions with confidence scores, parallel output, and the Doom demo, but documents no latency comparison against a generative model, and the source page is title-only. The Doom demo is illustrative.
Heroic steps published it, citing TypeSafe, The Register, and Every.to. The entry describes it as a summary of those outlets rather than primary reporting.
A Doom demo, listed alongside typed decisions with confidence scores and parallel output speed.
The cited outlets. The entry's caveat is that this video summarizes other pieces, so rewatch those for the original numbers rather than relying on the recap.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
YouTube: Launch summary citing Every.to hands-on testing, Register skepticism, and the Doom demo.
Hacker News: Simon Willison's overview of Noul, Choice, and Score, and where a decision model fits.
benwerd53 pointsJev introduces a new shape of LLMRead the thread on Hacker NewsHacker News: swyx posts the Latent Space interview with Diogo Almeida.
swyx4 pointsJev: System One Models for Prod, Not God – With Diogo Almeida, CEO, TypeSafe AIRead the thread on Hacker NewsX: Diogo Almeida in five minutes
More Jev resources like this
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
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
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
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
From the Jev community
Posts from builders shipping with Jev right now.