Jev 101Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Locally Laya just beat cloud Jev at live Tetris. Laya System 1 model made Decision time: 40–50 ms. on a 16GB MacBook Air. Jev, running in the cloud, sat above 300 ms. That is enough for 60+ decisions per second. https://t.co/Yih3Y4JALX
I built JevSearch, search the web & validate your results with Jev. Give a query and selection criteria, use @browserbase search to get the t25 results, then Jev scores and returns the t5 results. Jev often chooses urls outside of the initial top 5 as more relevant. https://t.co/jT3sM3vWYl
Built a level design playtesting demo with Jev. 100 ghost players. 33 predicted to finish. 32 made it. The bottleneck? A laser window. Widened it, and 36 made it through. A simulated look at where players get stuck. Would you test your first level this way? https://t.co/gEpEiBbMIE
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
A few days ago I wired Pi to Jev as its decision engine the comments immediately pointed me at open alternatives Laya, von, Reflex, and more that's when it clicked: hard-wiring to one provider was the wrong move. so I pulled it out announcing pi-system-one a single system one tool for bounded decisions: - choice - nou…
Open the source to read this non-English community post.
Are the @typesafeai’s JEV viral trading demos actually finding an edge or just going on random walks? I tested 24,000 yes/no decisions with dice and known odds: ~47% wrong on EV. Model jaggedness is real, where's the proof of market alpha? Test at https://t.co/wCKji83lI0 https://t.co/SxaiXYQanp
Open the source to read this non-English community post.
I built agents that run 200x faster and 400x cheaper than the standard Claude Code loop. Best case, not average, on the tasks where a $9 model was doing $0.0004 work the entire time and nobody noticed. Split reasoning from decision making. Let Claude Code write. Let Jev decide. From scratch, the whole architecture is…
Built a jev filter to catch mercenary farmers before TGE. 40k wallets screened in 4 seconds. Community size after: 2. Pre-TGE teams DMs open https://t.co/aF22bOPnAp
Open the source to read this non-English community post.
Claude Opus is insane! Sonic just won’t stop. Pair it with Jev, and I honestly can’t look away. 🤯 I built this on YouWare with Claude Opus 5.5 using one prompt: “Create a beautiful Sonic-inspired endless runner using Three.js and WebGL, with smooth controls, polished visuals and refined interactions. Deliver it as HTM…
Open the source to read this non-English community post.
Cool little weekend OSS demo: Agent Seek You .com finds pages. @typesafeai Jev re-ranks the SERP 50 questions: 74% preferred the short list vs You .com order 86% had the answer in the top 3! Tune ranking -> less junk in context, less LLM $ https://t.co/S3nn2OrBKD
Open the source to read this non-English community post.
Your elevator sucks. I gave Jev the keys. Jev-elator is a live elevator simulation where Jev decides the next floor—not your traditional dispatch algorithm. Jev is now responsible for balancing its obligation as an elevator operator with: - Prioritizing someone that needs to pee badly or is carrying luggage - An oppor…
I don’t know if people still remember Jev. Things move so fast here. I’ve spent the last few days testing it, and found a few things I think builders should see. Prompt injection is one of the most interesting things to test in AI, so I made a little demo to show how it could change Jev’s answer. Jev is a great model.…
As Jev (@typesafeai) is the talk of the town, and people are having fun finding new use cases for it. I built a real-time demo of smart AI agent routing for anyone working on AI tools, agents, or products. this is what I have done for one of my project. https://t.co/3nWDVodlIB
been testing a few Jev models by making them play Pokémon & snake lol which is the best way I've found to see how a model handles a complex situation tested: Laya, @jaredpalmer's Kev, @flock_io This/That 1.1, @googlegemma djev https://t.co/zowqpTSJ73
I’m a huge TMUX fan. I give my coding harnesses TMUX & running a fleet of agents is easy. Knowing which one needs you not. Meet: tmux-jev: inspect panes, ask Jev to pick/assess, send only when you mean it. Jev is read-only on purpose. Efficient! https://t.co/EiMNRXItqU ```
Everyone is talking about Jev, but there’s a new kid in town: Decision-Machine-1. So far in my tests, it’s faster, cheaper on estimated API cost, and beating Jev at tennis. 🎾 I wanted to understand these decision-making models, so I made it fun. I adapted a browser tennis game and let them play against each other. Now…
Open the source to read this non-English community post.
"I is me" — jev Grok and I built him an autoregressive mouth and he chose to speak facts! https://t.co/UuMznZe1Pk
I made a tool with Jev that reads my whole codebase to answer one question: what should I be looking at? Every chunk of code in your project is scored for relevance. https://t.co/QFq2XBLatm
Ultimate benchmark of the decision models: Jev (Typesafe) vs @millisecondsai. Looks like Milliseconds always wins because we're so... fast... and make really good decisions? I don't know tennis, so help me out here https://t.co/vqwgXeCreH
Open the source to read this non-English community post.
(1/5) trying out jev this week with all the hype. kept it apples to apples vs the fast models it competes with: llama 3.1 8b and deepseek v4 flash same labelled inputs. jev: 235ms median, 82% accurate. llama: 497ms, 68%. deepseek flash was accurate but ~2s genuinely cool. then some odd emergent behaviour: no position…
Come watch JEV solve picross puzzles live in real time at https://t.co/YSCkYOQUVl 550 puzzles left!
I used @MonidHQ & Jev to automate UGC Ad vids after following what @Jasperli0122 posted This is what I made under $3. Here are my steps (original video without @MonidHQ & Jev at the end, you will see how much it's improved 😅) ⬇️ https://t.co/D78RYdAT7y
BlockRun × Jev ⚡ Introducing SignalDesk. We gave Jev 100 real X posts. It made 300 intent + product-fit judgments in 3.9 seconds. Find people asking for alternatives, see if your product fits, and get a reply draft to review. Open source. Demo below. https://t.co/ekndVkcyDb
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
to montando uma plataforma interna de satisfação pros produtos da DOTI e o primeiro dado que apareceu foi sobre a gente metade das mensagens dos grupos de feedback alpha era do próprio time. dev testando fluxo, gente respondendo dúvida, suporte interagindo... fiz a seguinte mecânica: as mensagens dos grupos no zap cae…
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
One key. Build more. Switch models, make decisions with Jev, and add images and voice with teai. A developer walkthrough featuring teai routes and Shitate, narrated in my cloned voice. Watch the English version below. https://t.co/bVvSUDjeEr https://t.co/pSF2wbLmr6
@typesafeai I built an app that helps you find the right people to connect with: https://t.co/NzuGr2CZx2 Feels like matchmaking, but for humans with shared interests 😄
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Clon local de Jev: Qwen3.5-4B a 8 bits en una RTX 3060, sin generar texto. En un run-and-gun ochentero decide en 408 ms y llega al 24.9 % del nivel; escribiendo JSON: 1041 ms y 10.3 %. Hecho con Opus 5.5 y GPT-6 Astra. — Dr. Coronado (@abxda) https://t.co/P6GQRR03HD https://t.co/tWTJyJNtl5
Open the source to read this non-English community post.
having fun using Jev to choose a noun & description based on the user's input as they're typing... really cheap so hopefully will use it for more things! (I'm also using openrouter to research the company/job provided & write a latex resume) https://t.co/nXyzglOMEx https://t.co/S15q6mJQYb
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
I ran Jev against Claude and ChatGPT for CoT Monitoring on 2,200 thought traces. It beat Sonnet 5 at classification, but the main selling point is the speed, classifying 3.7x faster than Luna and 6x faster than Sonnet! 🧵 https://t.co/tk7RbyuIEV
I used Claude to find 21 leads ALREADY complaining about my competitors. For less than 10$. Here's how: > Identify your competitors > Use https://t.co/t6POX0yg0p + apify (or simply @MonidHQ) to scrape Trustpilor + G2 + ProductHung + Reddit + X + LinkedIn. > Jev (other models work just as well) to judge if a review is…
Open the source to read this non-English community post.
Open the source to read this non-English community post.
I made an Algolia alternative using Jev https://t.co/USs2C6kKAS
Open the source to read this non-English community post.
(2/5) hit some wild results. argument order and labels both move the score i gave jev 2 identical diffs (labelled A and B) and asked which is better. the results were shocking: fork A at 0.95 (five runs: 0.95, 0.96, 0.95, 0.96, 0.96) put B first with the same names and A is still 0.90. same diffs, different answer pre…
It’s interesting to see what it takes to jailbreak Jev. You can try it yourself here. I put it side by side with GPT-5.6 Luna: https://t.co/gnYVTRkNvg
5. My agent automate using both @MonidHQ and @higgsfield w/ the Minimax to delivers. I check this result, it's fascinating. It's def can be improved as im not using the best model, but it's way better & cheaper than the one I made before (check the one down below 😅) Cost: - Jev video analysis ~= 0 - Video gen ~= $2.5
My Jev experiment in one image. I stopped parsing LLM prose and started branching on typed values. 29 of 30 correct. https://t.co/wtUK0i8FZm
BREAKING: This model is 400x cheaper and 200x faster than ChatGPT. It shipped 6 days ago. I scored 712 LinkedIn messages in 8.3 seconds. For 4 cents. Not with ChatGPT. With JEV, a model that writes nothing. It does one thing: decide. Yes or no, a score, a choice. With a calibrated probability. On 712 hot leads and 712…
A three-floor Magic Tower game for observing TypeSafe Jev's strategic judgments. Players can explore manually or let Jev choose among every legal move. The interface displays the complete probability distribution, confidence, model name, and latency for each decision in real time. https://t.co/DuAukSoiRR
I gave Jev $50,000 in fake money and 24 hours to prove it can trade crypto. It checks BTC, ETH, BNB, SOL, XRP, DOGE & ADA every single second and calls buy, sell, or hold - live, no do-overs. Think it'll actually be good? Watch it live 👀 https://t.co/WopdnVJgll
Open the source to read this non-English community post.
scRNAseq JEV application in AI Scientist workflows at @FlagshipPioneer @AnthropicAI @modal compbio hackathon at Boston today. Faster, cheaper, more structured decisions for bioinformaticians to understand/critique. Could be interesting RL signal. https://t.co/36aCmd70jG https://t.co/ikBO3qAV9A
3. I pasted "set up https://t.co/Im6q1cJk1K, scan tiktok for <the above product link>, have jev (typesafe /systemone on monid) score every video as a ugc template". I didn't ask it to straight up generate the vid as i had a terrible experience with other failed video gen apps
Super Jev 1.0 is out: a memory and retrieval harness for AI agents. Your agent just asks Super Jev in plain words and gets the answer back, lightning fast. No hunting, no wasted tokens: the harness does the digging, and Jev makes the call. How they work together: - Skill search: the harness lines up your skills, and J…
This is how you Jevmaxx! @typesafeai I built a chrome extension that scans your x feed for larp and hides it for you! The results are INSANE! Larp be gone! Your feed will be free of larp at under 250ms per post and for under $0.01 for your daily doomscrolling needs! Here's how I built this: 1/ Scan the entire availabl…
Open the source to read this non-English community post.
been using this stock analyser (built for personal use) for a while now but jev optimised it for surely this is one of the best use cases of jev https://t.co/kaAS7l36Ma
Aproveché que salió GPT-6 Sol y le pedí que montara el experimento: un servidor con Laya corriendo localmente, otro que consulta Jev en remoto y una interfaz para compararlos. La prueba: dado un mensaje, elegir qué herramienta usar y con qué parámetros llamarla. https://t.co/8Qm52hUxu4
The AI market is so competitive. You launch a product today. 48 hours later, there’s an open-source alternative that’s better. You don’t need to pay literally anything. Made open-source Laya to fight Jev. This market is brutal. 🔥 https://t.co/kh0eemtIM0
@itsryanlenk gave it a try and a star and now have: jev parallelized + pixel drawing and then fx animation https://t.co/KzPG4Tlx2y
@dabit3 Have been building a Trading Dashboard since last 2 months. All using cheap models. Would love to try out the frontiers to finally make some leaping progress. Recently integrated Jev for auto trading decisions https://t.co/eg2R4ORDw8
Open the source to read this non-English community post.
Everyone's going mad about JEV, so we asked an agent one question: Which of these 50 companies should I get in front of first? It scanned every signal, ranked them by tier, and showed its reasoning. A full run cost us <$0.001 for 50 companies. This is crazy! https://t.co/yjzviTEVqW
The interesting question is no longer how smart the model is. It's which model it calls. Last week I asked Claude to sort the Hacker News front page against my interests. Claude didn't do the sorting. It wrote the code, then handed each headline to Jev, a small decision model from TypeSafe, with one narrow job: answer…
everyone's talking jev this jev that but nobody's actually tried it https://t.co/rGOs3XxW3n gives you free access - playground + api, no waitlist it's not an llm btw, it outputs decisions instead of text. interesting stuff https://t.co/uwD7y1mx9Q
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
@trevin Jev models shine when combined with other models in the same workflow, I made sure this is really easy with the AI controller that I built, these are system one and system two nodes collaborating on the same goal https://t.co/FuNXDhXv53
Tired of scam and promo spam in X replies? I built Veil, a Chrome extension that hides replies matching a rule you write in plain English. Powered by Jev from @typesafeai : it scores each reply against your rule, and you set the threshold. Open source 👇 https://t.co/wnpg3214yq https://t.co/9oSTgY1TDh
Can someone make Laya and Jev work? 😅 I created simple Flappy Bird game and let Jev and Laya control it. But it look weird 😬 https://t.co/qnS9RjB4Vm
Jev produced the graph. The verifier ran on a machine that did not build it. Sealed package. Separate Debian VM. Node 20. Five fixtures. Two runs. Input hash matched the pin. Output hashes and verdicts matched the sealed reference. Nothing in the package was edited. If “Jev run” means the verifier that graph produced…
Customer Support is a pretty good usecase for @typesafeai's Jev Built a chat router, outputting verified pre-defined responses. the whole chat below cost $0.000083 total. 🤯 (1/2) https://t.co/1uN0vOItVF
JEV was all over my feed, so I built a game around it 😂 https://t.co/2iNkikkEQO an arcade-style game where you play against JEV. JEV classifies the possible choices. You make yours as a human. Works on mobile, but desktop is definitely better 🎮 https://t.co/XYK2TA9mm8
jev-lint (no capitalization) is a static analyzer-ish program that analyzes source code -- only JavaScript and TypeScript -- against a document in English of conventions the code has to follow, and generates error messages that are intended for your code-generating AI agent to read. As the name implies, it uses Jev. h…
Open the source to read this non-English community post.
The current incumbent to search #mtg cards is https://t.co/cZKy8bKIOi. It uses a complex query syntax that lets users find the type of card they want to find. With Jev, you can produce a better outcome using simple natural language. I made https://t.co/iSMZJ5faic to do just that.
Open the source to read this non-English community post.
experimenting with jev handling tool injection at runtime . seems to be an interesting way to cut down on tool costs, with Opus it's cutting down 10 cents for a semi-complex request while identifying the correct tools. https://t.co/CuitRLCPAI
you know how x feed is blasting you with promos, politics, rage baits, etc? so i made a (tamper)monkey script that uses jev to classify and hide types of posts you don't want https://t.co/PNS9BAhWpN
I build this Jev with real RLCD and Parallel sampler； You can serve, eval, train your own Jev now. https://t.co/ITxRIxXJtw
(5/5) none of this makes jev useless. it's still the fastest, cheapest judge i've run (235ms, $0.0059 for 360 calls, matched sonnet on sabotaged diffs at ~1/50th the cost). it just has one rule: the option set has to contain the truth how i'm running it now: 1. put the true answer in the options ("same", "neither", "n…
Is the Jev hype is real, so I made to test this on my movie recommendation engine, which is getting crazy results on Quen Re ranker , I used an open-source alternative of Jev , Laya. But unfortunately Quen is way better, dekhlo! @typesafeai #jev #Jev https://t.co/epFxWM1Ju4
Jev but for images? I built a local model to try it out! 63ms for a 512x384 image and fast enough for 15fps video. Birthday 94%. Golden retriever 78%. Sprinkles 93%. Candles lit 67%. Dog about to eat the cake? 52%. https://t.co/PgsaZYknC9
We recently added @typesafeai's Jev model as a native capability into Luo workspaces. Whenever the workspace tasks or features need to classify information, it'll process it with Jev for faster and cheaper processing. https://t.co/TJm7SZQCKV
DiffusionGemma-Jev (djev) agora sobe no Google Cloud Run com um único comando. Sem GPU própria, sem infraestrutura complexa. https://t.co/OgQKof2jXz
Open the source to read this non-English community post.
Open the source to read this non-English community post.
J’ai ajouté un modèle qui ne sait ni écrire ni coder à mon workflow. Et c’est probablement lui qui va me faire économiser le plus de tokens. Jev, le modèle de TypeSafe, est conçu pour prendre des décisions courtes et contraintes. Tu lui donnes du contexte, une liste de choix, et il renvoie une décision typée avec un n…
Weekend toy: Chat2Jev. Turn an existing Chat Completions request into TypeSafe Jev structured judgments. In theory, those “this was a judgment all along” calls can drop ~90% of the time and cost. Compare bench and proxy routes included. Bring your own keys.https://t.co/wNR2rI7VBh
Open the source to read this non-English community post.
@baptistelaget @benchmarkheaven @baptistelaget Your speed war, on camera: 57s spec — real keyless playground runs (true @1.00, billing @0.74) + your JevBench v1.2 numbers (0.17s p50 vs Jev 0.65s, 2nd fastest of 45). I cut Jev's trailer yesterday. Yours: 48h, $99 → https://t.co/Dek0zdnzAP https://t.co/Wb08CBoKvN
Claude Opus 5.5 wrote 1,000 ad hooks. Jev ran them through a knockout bracket, 4 at a time, until one was left. 341 matches. 9.7 seconds. Less than 1 cent. The winner 👇 https://t.co/7cMNMGdXqt
Jev was everywhere, so I joined the waitlist and put its API through 106k calls. Prompt injection was just one part of the story. There’s a lot more to unpack. My deep dive into the findings, edge cases, and limitations 👇 https://t.co/1pmnfHWKmX @typesafeai @CompleteSkeptic
Open the source to read this non-English community post.
Con todo este hype de JEV, se me ocurrio una particular forma de probarlo, mi hijo me dice, por que no lo pones a jugar ajedrez ? Yo le respondo no, va a ser mas radical ... No se si recuerdan el ejercicio de MIT que se llama Moral Machine Version corta: Te ponen a decidir quien debe morir sobre 13 escenarios. Que se…
bon un peu de serieux, jev peut etre vraiment utile... pour préparer un workflow de qualification de leads après un audit client, je veux un premier tri de ce que l’agent propose avant de mettre les étapes dans Obsidian. j’ai donné à Jev le contexte de qualification avec les étapes candidates. À lui de choisir pour ch…
My first JEV AI integration here) Hey there, i just shipped my first FREE PostMine tool today, and more are coming. Enter your X handle and Jev roasts your last 40 posts for AI slop with JEV (mine got 58% 😅). if you want help writing the next one, that's what PostMine is for. link in the first👇
retired the good and old 2D view of my obsidian vault to something I actually enjoy looking at. Jev runs the classifications and the only thing I really need obsidian for now is the plugins.... kinda crazy ngl https://t.co/VPnM3k4tP5
Implementing jev has been incredible, efficiency maxed, costs minimized by a huge multiple and the confidence scoring is ideal for our use case @typesafeai https://t.co/2wlJX2Usyh
Diode test, jev-1.13.0, Sept 20: 3,608 true/false statements + 40 forced picks, 521 names, 190 sentence templates. 209,628 calls, $3.13. Numbers, wordings, option order: public. https://t.co/cbpyFQPDZP https://t.co/yircrFwbVP Independent; not affiliated with TypeSafe.
Axis robotics on the Hype Meter HYPE 54/100 (how loud) LEGIT 53/100 (how real) Verdict: HYPE WAGON Jev decides: https://t.co/8oJ7OFX8m8
@CtrlAltDwayne BTW, I have been working on model orchestration, I have done one plugin with MCP using Jev for difficulty classification of tasks, hooks to correctly handle all planification process when needed and track permissions of swap agents, and skills to control it. I am happy about it. https://t.co/4F5EhtYP9C
first two successful paper trades for my lil jev trader bot im so proud https://t.co/xqN2wBMrBi
@CompleteSkeptic Jev-powered resume screening tool , Define job requirements, upload resumes in bulk, and get structured match/no-match judgments — every conclusion traceable back to the original resume text.seconds level finished it. @typesafeai https://t.co/di5H4psVnK
I put Jev against 11 classical ML pipelines across 8 datasets. The result wasn't "LLMs beat traditional ML." On IMDb, Jev Zero-Shot hit 96.3% vs 88.4% for the best classical pipeline. On Banking77, a Linear SVM won: 89.7% vs 78.9%. And across all 4 tabular datasets, classical ML came out ahead. The interesting part wa…
They said Jev can't hallucinate. It just can't say anything that isn't on the menu. I ran 150 résumés through "the frontier model that doesn't write" — 1,800 decisions in 3.35 seconds for 1.4 cents. Then I read the fine print. One guy's trading bot lost $31,680. 👇 https://t.co/2OPxe4hE5N
@iam_zachi Your pg-jev extension is included in Jev Gallery. We’ve documented the SQL semantic filtering and kept the benchmark’s dataset/cache conditions alongside the source: https://t.co/vJz1bK7Hkk
Open the source to read this non-English community post.
השתמשתי ב-Jev כדי לווסת את מאמץ החשיבה של GPT-6 Astra תוך כדי ביצוע משימה באפליקציית Codex; כך המערכת משקיעה פחות משאבים בשלבים שגרתיים ויותר במשימות מורכבות. הפתרון נקרא Astra Ares. הוא מאפשר הוזלה של 50% בעלויות השימוש ב-Astra וביצוע מהיר יותר של משימות, מבלי לפגוע במנגנון ה-prompt caching (שמירת ה-prompt בזיכרון המ…
Open the source to read this non-English community post.
What if AI creates more wealth than ever-and most of us never see it? I gave Jev 10 futures for humanity by 2050. Its pick (56%): extraordinary wealth for a few, insecurity for many. A model’s choice, not a prophecy. Which of the 10 do you think is most likely? #jev https://t.co/YhFv1FVZbb
Jev Screen: second screener for systematic reviews. Abstracts → include/exclude/maybe, PRISMA + RIS. Uncertain cases stay human. Offline demo uses synthetic scores; 61 tests pass. No live accuracy claim. Where does screening slow you down? https://t.co/vcoeDSudI8
Open the source to read this non-English community post.
Open the source to read this non-English community post.
@iam_zachi @typesafeai Nice! I built the same idea as a native MySQL plugin: AILIKE works in WHERE and in JOIN ON, powered by Jev. https://t.co/4fYXqcOI1k
@0xagonally @BrianRoemmele open-Jev. https://t.co/zAgbnvRIC5 take care, it's many times slower.
Open the source to read this non-English community post.
I piped in Jev via @typesafeai as an optional alternate layer for some of the AI resident decisions. 386 calibrated decisions, 168 ms each, under five cents for the whole day. when enabled, the reasoning model handles about one resident turn in three. not too shabby. https://t.co/yyQKJ6KhjX
Benchmarked Laya locally on an ancient laptop: 💻 i5-5200U (2 cores) | 12GB RAM | 5400 RPM HDD Kept it resident in RAM and got sub-second (~630ms) typed decisions on pure CPU! 🔥 Great open-weight release by @Nandakishorm1. No GPU or cloud LLM needed for fast routing. #laya #jev https://t.co/AIuBwFpM6e
@typesafeai 를 이용해서 현재 서비스 되고 있는 유튜버 추천 카페, 맛집 검색 서비스, https://t.co/RftYyB6Jzy 에 적용한 사례에 대한 글입니다. 검색 리랭크시 10.3초에서 2.3초로 줄였습니다. 10.3초면 거의 서비스 불가능한 상태인데 jev 적용 후 서비스 가능한 수준으로 줄였습니다. https://t.co/zNILKX7Xsh
Hooked jev to Claude via MCP to map an Angular base module (8 classes, 6.7k lines). Rather than guessing, Claude routed the decision via jev_route_task across 4 paths. Outcome: proceed_fast (0.34) edged out block (0.26). Pure visibility, zero guesswork. https://t.co/jyHeeMRN3r
참고할 점: - 제출한 프롬프트 원문(최대 12,000자)이 effort 판정 API로 Jev 에 전송된다. 민감한 프로젝트라면 끄는 게 좋다. - Python 표준 라이브러리만 쓰고 외부 의존성은 없다. https://t.co/8OF8FYnyP9
Jev is now categorizing my LinkedIn feed. Live, while I scroll. https://t.co/ltMaPpz8J7
Is the Jev hype real, so I made to test this on my movie recommendation engine, which is getting crazy results on Quen Re ranker , I used an open-source alternative of Jev , Laya. But unfortunately Quen is way better, dekhlo! @typesafeai #jev #Jev https://t.co/vYsSnBQ8c2
Replaced Spotlight, Rectangle and Raycast with Jev https://t.co/sHqJUgwNkL
Check your X account for ai slop with Jev My 60% 👇 https://t.co/KME7fN25EA
Open the source to read this non-English community post.
Deploying DiffusionGemma-Jev (djev) just got a lot easier. You can now spin up a Jev API-compatible endpoint on Google Cloud Run using a single command. Performance is solid: ~35-60 ms for single step latency and batch@32 is ~100-123 requests/sec. It's a straightforward way to experiment without needing your own GPU.…
The bookkeeping services industry is dead. This weekend, I built a better solution using Jev from @typesafeai. I fed it 34 months of work a firm charged $20,000+ for. Jev did a better job in 20 seconds, for just $0.32 🤯 https://t.co/8lA9h32eOo
Open the source to read this non-English community post.
Jev + Grok Bot is the best agent setup I've built so far it's cheaper and faster than 95% of agent stacks i've seen, and the setup takes just 5 minutes: your prompt → Grok Bot → Jev decides → Grok Bot acts → result step 1 → go to @typesafeai and create an API key. don't paste it into any chat step 2 → ask Grok Bot to…
Open the source to read this non-English community post.
Pretty incredible. Just used Jev + @eltokh7's JSort to re-score the entire Fedlock corpus. 4005 FOMC public speeches and statements since the mid 90s. A glimpse of what "intelligence too cheap to meter" looks like. https://t.co/8yqR8DeLpH
Open the source to read this non-English community post.
Open the source to read this non-English community post.
JEV BOT ON GOD-MODE there is no catch and that scares me Elon Musk posted an idea that hit 19 million views: "the win is priced in before it happens" that's basically what Jev Bot does now - I gave it $65 and told it to earn its keep or get shut off $50 → $8,730 in 24 hours still running, still compounding - nobody's…
i created a small directory for jev usecases. https://t.co/IzWinY7Lht
Jev + GPT-6 Astra builds the MOST DANGEROUS trading agents ever i just added Astra into my Jev trading stack and now one model researches the new trading strategies 24/7 while the other FIRES them in milliseconds it's like having a HEDGE FUND QUANT and a HIGH FREQUENCY TRADER on a SINGLE computer this setup literally…
Jev + Muse is the first AI agent system that actually automate 100% of my life 99% of people pay 200x more for slower AI agents - while 1% run this 2030 setup just 5 min and setup is ready: prompt → Muse → Jev decision → Muse execution → result step 1 → create your Jev API key (typesafe website) step 2 → clone and ins…
Launching Jev on Command Code for free today. Jev x Command Code is super interesting. You can only use Jev in headless mode or Provider API. Also open sourced a mod "cmd-mod-jev-nudge" Use Jev for free to keep your agent running as long as the there's more work to do.
Jev + @sai_borg just solved "there is no way into this software" you point it at a window. it reads what is on screen, the loop runs, the keys get pressed no integrations nothing installed no access to the game's insides no permissions granted free to start: https://t.co/uN4Hcrm9Fs #robosecretary #saifleet
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
I built a free internal linking tool using @typesafeai Jev for classifying and selecting the links. BYOK or pay $1 to use mine. It works for up to 500 pages and gives you a CSV or JSON to pass to an LLM to implement. https://t.co/i01qMCEXa6 https://t.co/7uhzyaiGQj
fun weekend project: AutoJev. i was curious to see if i could train a competitive Jev-like model completely autonomously with a swarm of agents using our internal system. turns out you can get quite far! some details: - gave the swarm a devbox with an h200 gpu - the swarm is a mix of astra and fable; used sol and luna…
Wanted to see how well calibrated Jev by @typesafeai is to this famous chart about what probabilities people mean by specific words... and it's pretty well calibrated! https://t.co/UpKfIGRTKI
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Jev Engineering is what turns a messy agent graph into a controlled decision loop. and up to 193x faster and 444x cheaper in tests. the video looks complex, but the idea is simple: Jev Engineering makes that decision explicit. state enters → routes get scored → confidence updates → weak branches die → strong branches…
This the the monster I created 1000s of real human reactions filtered by jev on structure and emotion ready to be cloned with AI UGC on https://t.co/i4vF01t4m9 comment "reaction" and I will send you the entire library https://t.co/WOPG1zHmB6
After playing with the Jev hybrid model, I started looking into OpenJev, and started with a halite 1 implementation with: GLM 5.3 Flash + Jev [vs] GLM 5.3 Flash + OpenJev OpenJev is just a 4B model handily defeating Jev (in this tiny silly toy example ofc). Now I'm super curious to learn what Jev's actual model size i…
I turned Jev into a Flappy Bird player and I won against it (sorraay @typesafeai). Can you beat it? Let's see your score: https://t.co/93Bl3QQsFq Tech: - Results stored in @neondatabase Postgres - @nextjs App Router 16 with @DrizzleORM, @shadcn and @tailwindcss - pdx1 region on @vercel gets the lowest latency to Jev's…
In one day, I went from complete fucking noob to... a Jev power user? (Read this, and you can too!) I've been playing with Jev, a new AI model from @typesafeai. I'm not a developer, so I wanted to find out what I could actually build with it. I made four increasingly crafty/interesting demos: An email sorter 2,000 tes…
i accidentally made an agent that maps out my entire app and renders every possible use cases of Jev https://t.co/gN57vV3Qja
İşte Jev'in ideal kullanımı! 5 Kelime İsmail (Jev powered) isterler. Bu linkten deneyebilirsiniz: https://t.co/r5tHwNSIza “Jev hızlı” — bunu hep konuşuyoruz ama Math.random() da hızlı. Artık bence tutarlılık ve performans konuşmamız lazım. https://t.co/EqtY85VyQ5
He hecho una web para saber si tu próximo post es un banger o una mierda Lo escribes y Jev te pone nota Este post ha pasado por ahí, si flopea le echamos la culpa a la ia https://t.co/kp2c60gX7e Pasad vuestros scores, a ver quién saca un 100 👀
J'ai crée un système avec le modèle IA Jev qui te trouve des prospects à contacter chaque jour (je te le donne gratuitement) C’est complètement fou 🤯 : → tu lui donnes ton produit ou ton offre (ça marche pour tout) → il trouve les prospects qui semblent en avoir besoin maintenant → il peut les contacter tout seul sans…
NERVE NOW READS EVERY TWEET BEFORE YOU DO. I ADDED A CT NARRATIVE ANALYZER AND IT CAUGHT A META SHIFT 47 MINUTES BEFORE THE FIRST VIRAL THREAD. +0.9 ETH. the pipeline was fast. jev scores in 190ms. sentinel kills honeypots for free. grok reads telegram and discord. but ct moves faster than all of them. a kol tweets. q…
Some of you might have noticed already but, we have a new magic word: **jevify**! I've found the orchestrator+jev setup to be capable of creating some quite robust flows, especially where thoroughness is important, say w/ refactors. Below is an example where we individually evaluate and prune tautologies across 27k te…
I find it excruciatingly hard to find people I want to on LinkedIn... so I built a Jev powered personal CRM from my LinkedIn contacts. I can literally ask it to find anyone in natural language and it'll find me all results in around 1s. Examples "Find me someone who runs user acquisition for a mobile game and knows th…
Open the source to read this non-English community post.
Is Jev actually good at computer use, or are those videos all over twitter more fake (or highly misleading) demos? I put it to the test and the results surprised me:
Open the source to read this non-English community post.
made a free tool to KILL @Octolens $1M (company btw) for the @convex hackathon. I'll show you a GTM strat no one is talking about... setup today for free. We use @treg_ai to find out our competitors @firecrawl to find good comms and @typesafeai for if content is relevant🤯🤯 https://t.co/z3JYP1fT3Q
Open the source to read this non-English community post.
Open the source to read this non-English community post.
since jev (@typesafeai ) dropped i saw a lot of ultra fast computer-use claims but no one open sourced anything. i built a voice-to-computer-use app for mac using no llm. only macos native speech to text and jev to choose the next action out of all the possibilities. it works.
Jev + on-device models = results in seconds with no LLM in the loop. Quick demo app to show the possibilities. Drop in an audio file: Ear detects the language, Voz transcribes it and Redact removes PII. Then @typesafeai's Jev makes about 20 decisions in one call in milliseconds, and picks which of our on-device models…
JEV MADE ME $3,031 WITH A 7-MINUTE AI AGENT SETUP Prompt → GrokBot → Jev decision → GrokBot execution → Result Jev decides what actually needs to run. GrokBot handles the execution directly on your computer. → Less wasted calls → Lower cost → Faster agent workflow Create a Typesafe API key, install typesafe-sdk and sm…
Built matchcn: semantic component search for coding agents, powered by Jev. Describe the UI you need. It finds the component and returns the install command. No component name needed. No browsing 9 different libraries. 1,783 components across 9 @shadcn registries, classified across six dimensions: purpose, motion, den…
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
I gave Jev every Wikipedia edit, live, 24/7. It judges each one and bets on whether a human will revert it. Then we find out who was right. https://t.co/N6rHGxVGFG https://t.co/QZ29zZL3nR
I made a #Jev VJ demo. Jev listens to what I say, suggests the matching video clips to me, then I manually switch them. I wrote a list of clips & effects with short description beforehand, so it can pick the best combination, just like the official "What color is the sky" demo. https://t.co/4S5SoDgoEJ
Open the source to read this non-English community post.
Open the source to read this non-English community post.
برای اینکه دانش کلی Jev رو ببینم چطوره ۱۲۲ سؤال کنکور تجربی ۱۴۰۵ رو دادم به اون و ۵ مدل دیگه. مدلهای بزرگ بهتر، کندتر و گرونتر هستن اما مهم برام مدلهای کوچیک بود. مثلا از لونا ۲۵٪ بهتر عمل کرد در حالی که ۴.۵ برابر ارزونتر و ۳.۷ برابر سریعتره. دیپسیک و Qwen رو هم لوله کرد. https://t.co/NbckESlRDe
I JUST MERGED THE NEW GROK 4.7 + JEV AND BUILT THE BEST AI AGENT SYSTEM I'VE EVER SEEN it's cheaper and faster than what 95% of people are running, and it took me 7 minutes, ofc repo in the end Grok 4.7 is the brain and Jev is the reflex, and the reflex costs $0.042 per million tokens before every move, one question:…
Ross(@TheCoolestCool ) posted this and I could not leave it as a bookmark Jev by @typesafeai for SEO internal links cannibalization thin content intent keep / update / merge / kill redirects schema who AI actually cites same model I used to score 1000 jobs now for the short-term rentals bix pointed at pages (extracted…
Open the source to read this non-English community post.
Taught Jev to type hello on his keyboard. https://t.co/Uh5yhioGw0
It works! It finally works! Thanks to @CompleteSkeptic JEV i can finally create optimized prediction market buy sell rules! There are literally millions of permutations and JEV found the most profitable ruleset in milliseconds. Why am I telling you this? Doesn't this mean you can too? Doesn't this mean I'm destroying…
I let Jev drive my gpui app ui, basically browser use for GPUI. it's not perfect requires gpui-pre 0.3.5 and a patch, but has been very effective for me in agents testing my gpui apps. https://t.co/R3K3uOogvL
Primero fue Jev. Después Laya. Ahora... [kev] Lo corres en CUDA, AMD o Mac (MLX). 4B y 9B entran en un Mac de 32 GB. En un M5 (el ejemplo del README) responde un ticket en ~500 ms. También puedes entrenar el tuyo (LoRA + una cabeza de decisión). REPOOO👇 https://t.co/ALE6G8OQHQ
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Build Your Own Router (BYOR) is live on https://t.co/qfbt0zpJFD. Choose how Jev by @typesafeai classifies each request: task type, complexity, both, or your own question. Then drag a model into each route while comparing intelligence, speed and price. Test it before you save. https://t.co/FBFguDHKhe
Lots of cool experimental Jev (@typesafeai) stuff getting posted lately, but what about using it in an existing product? Here are dozens of ways I'm using it now in two apps (https://t.co/vKHSHPzmMl and https://t.co/JhKfmhCVib) Granite (document vault) Ingest pipeline - Second-opinion on Gemini's document classificati…
Made a real-time presentation coach with Jev. It listens as you present, follows your slides and notes, and keeps track of what’s still left to say. https://t.co/trPsxOmEXk
Open the source to read this non-English community post.
JevBench v1.3.0 is live. Original Jev remains 👑 at 74.4. But it's challenged by 47 competitors now, and some get very close. 👀 Check it out here: https://t.co/hFQ5fX4JEb https://t.co/UkKd825ccX
Smart web search CLI for agents, backed by Jev. Saves a lot of tokens. #golang https://t.co/OApFrXBoGS https://t.co/1jN4QrJmYw
Open the source to read this non-English community post.
JEV is INSANE. So I turned it into a 16-bit game and made a launch trailer for it. That's the whole game: JEV pulls the trigger, another model plans the route. Here's the part I still can't believe. I don't know how to edit videos. The entire 40-second trailer was built by talking to @Pexoai_offical, an AI video tool…
Hacker News' "Show HN" is where builders launch to the internet's harshest crowd. ~98% flop. ~2% hit the front page and get seen by millions. I asked an Jev AI to guess which from the title alone — 5,200 real posts, $0.077, zero cherry-picking. It ranked them right... but got its confidence completely backwards. 🧵👇 #B…
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Introducing Jev, now live on Pacifica Jev brings AI directly into the trading interface, using live market data alongside your Pacifica account context to help you analyze decisions and build trade setups. No tab switching. No copying your positions into a chatbot. https://t.co/kwag63Se27
last time, I made Jev play Clash Royale. this time, I gave it an opponent: Laya, an open-source alternative. Jev runs through @typesafeai's API, while Laya runs locally on my Mac. Each controls a separate emulator and sees only its own game screen. Both use Qwen (via cerebras) for battlefield vision and OpenCV to read…
it's absolutely insane JEV + NEW GROK BOT + RH API = ANOTHER $760 IN 13 HOURS the gap between a signal and an order is where copy bots die, but here is what sits in mine. > Jev turns a wallet move into one answer. > the harness acts on it. > every matched buy gets simulated twice. > the second run is against the limit…
Open the source to read this non-English community post.
In the first 24hrs of https://t.co/9tGq42lv3d Over 50,000 visitors Over 125,000 individual API requests (asks to Jev) Over 39 million tokens (majority being input) And it cost me... $0 https://t.co/n0I7gXItsn
הטריק האמיתי: החוזקה האמיתית של Jev היא לא רק שהוא classifier, אלא היכולת שלו להחזיר וקטור תשובות בבת אחת. כלומר - אני יכולה לקחת ערך, ולשאול בבת אחת עבור כל שאר הערכים - מה ההסתברות שמייצגים את אותו האירוע. ואז במכה לקבל תשובה עבור עד 255 זוגות. מקצר את כמות השאילתות בצורה אקפוננציאלית! זה בעצם ייראה ככה:
Open the source to read this non-English community post.
Just asked Jev from @typesafeai about a die roll. It said 81% -> 1. A fair die? 81% on 1. A square tile dropped? 97% on edge A. List doesn't end.. Same with Deck of cards.. Seems Jev just likes the first option ! (only for few cases) Our own multimodal OSS variant, Jev-Omni, has the same issue.
Open the source to read this non-English community post.
Jev Engineering can make a https://t.co/kHgTxlkUry monitoring system faster and cheaper by keeping expensive models out of routine decision loops up to 201x faster and 456x cheaper in tests these are reported benchmark results and measured TRENCHNET performance figures here's how I applied this idea to tracking trader…
Last week, @typesafeai launched an early access version of Jev, a new decision-making model. Now that it’s available to everyone, I want to share what I found after plugging Jev into @openmind’s OM1 and using the model to navigate our Go2 on @nvidia’s Isaac Sim. https://t.co/P3zOc4O2xQ
got @typesafeai's Jev reading sprites instead of text health bars, energy bar, character select. @sai_borg turns that into button presses fast enough for a fighting game structured outputs are underrated 🥊 #robosecretary #saifleet https://t.co/NK8UGgPYFD
The @bot team has given me 200 codes to give people a month of free access on Grok bot. Why do I love grok bot and how can you get one of the codes? I launched 3 different campaigns using Grokbot, @clay and Jev while taking care of a screaming 10 month old and it didn't miss a beat. Here's what we used each tool for.…
Open the source to read this non-English community post.
Built Yap over the weekend: talk to Chrome, it just does it. Runs on TypeSafe's Jev. A nightly Claude routine reads telemetry and tunes the prompts and tests. This video? Opus 5.5, one prompt + a few tweaks. Self-learning apps are now hands-off. https://t.co/wc6Z4npTRs https://t.co/VhvdrQ6GHD
this JEV + Picsart split is f**king insane for AI workflows so i rebuilt one campaign around a simple rule: cheap decisions happen before expensive generation. [here’s what’s actually happening:] 1. JEV sits in front of the stack and decides `allow_subagent`, `ask_human`, `stop_retry` or `reuse_cache` before anything…
Open the source to read this non-English community post.
𝗜 𝗿𝗮𝗰𝗲𝗱 𝗝𝗲𝘃 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗽𝘂𝘀, 𝗛𝗮𝗶𝗸𝘂 𝟰.𝟱 𝗮𝗻𝗱 𝗚𝗣𝗧-𝟱.𝟰 𝗠𝗶𝗻𝗶, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝘁𝗵𝗲 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗮𝗿𝗲𝗻𝗮 𝘁𝗼 𝗱𝗼 𝗶𝘁. Jev is @typesafeai's System One model, and it does something no chatbot does: it never talks to you. JSON in, JSON out, a probability on every answer. I drew System 1 and System 2 out on the whiteboard first, step by st…
So jev just came out, and @convex released our AI gateway... Why not throw together a party game? https://t.co/fHkYw1HzsN Just convex, workflow component, ai gateway, convex auth v2 (preview), static hosting component... no api keys required, just a convex account. Nice.
گذاشتم قویترین AI دنیا ماینکرفت بازی کنه! GPT 6 Astra + Jev تماشا در یوتوب: https://t.co/KJuUBknjOD توی این ویدئو، با همدیگه پروژهای که ادعا میکرد تونسته ماینکرفت رو توی 8 دقیقه اسپیدران کنه بررسی میکنیم و خودمون بازسازیش میکنیم با استفاده از Astra و Jev از برادر کوچیکم دعوت کردم بیاد کمی راجب خود ماینکرفت توضیح ب…
Connected @typesafeai 's Jev to BigQuery using a Cloud Run remote function. Every row gets evaluated with Choice and Noul, which turns those nuanced judgment calls about unstructured data into 0–1 probability columns you can filter, aggregate, and join in SQL. Blog + GitHub repo follow below
JEV DOESN'T WRITE YOUR CODE. IT MAKES THE FIVE DECISIONS AROUND EVERY LINE OF IT. HERE'S THE LOOP every step your agent takes is really five judgment calls. which files to read. which model writes this. is this safe to run. keep this output or drop it. are we actually done. today one frontier model makes all five, and…
i cracked the code for how to make agents make better drawn art and its 100x faster⛓️💥 jev agents were given dedicated tasks and lanes working together in real time at warp speed! each agent has one job, foreground, background, objects, boats, polish. each agent was dynamically created on the file for the tasks by th…
Open the source to read this non-English community post.
Added a nice route to the site where I explain how Jev helps our hybrid make decisions. Will be expanding this more and more as time goes on. https://t.co/oeO9VdxTmz
Este fin de semana he estado probando Jev, el nuevo modelo de @typesafeai He creado un pequeño juego RTS donde, a partir de ordenes en lenguaje natural, se traducen a comandos de batalla: ataca, defiente, etc. Jev toma la decisión de que debe hacer en función del input + estado https://t.co/H6NQU908GS
Open the source to read this non-English community post.
J’ai créé un système avec JEV qui espionne tous tes concurrents et te dit quoi faire (je te le donne gratuitement) C’est une vraie folie 🤯 : → tu lui donnes ton activité et tes concurrents → il surveille leurs prix, offres, produits, contenus et publicités → il t’alerte quand quelque chose change et te recommande exac…
You simply IGNORE the real power of the Jev. I built a decision engine for creators that costs $0.63 a month to run. Not an LLM, a 300ms probability layer on top of TypeSafe's Jev model, the one that came out of stealth last week. It never writes a word, it only answers three things: pick one, rate this, yes or no. Ev…
Open the source to read this non-English community post.
Yapalım katılalım bir kenarda dursun @jesusislord babanın yeni icadı detaylar şu şekilde > HypeMeter Jev + Minds "Alpha bot" denen tipler her şeye BUY diye bağırıyor ama çoğu ucuz NFT aslında birer tuzak. > Jev saniyenin üçte birinde her listeyi acımasızca yargılıyor, Minds ise kendi stratejinle sana özel tarama yapıp…
Open the source to read this non-English community post.
I built an AI slop detector that mostly shuts up. Every detector I tried had an answer for every paragraph, and I think that is the bug. A tool that calls 15% of human writing "AI" is not detecting much of anything. It's accusing people. Slop Meter says can't tell on 87% of paragraphs and is right 97.4% of the time wh…
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Entrando na moda do Jev, fiz um botzinho de Tibia pra testá-lo Por hora só fica curando/patrulhando/looteando, mas já deu pra dar um teste https://t.co/s09gkh6Lob
WHILE YOUR LLM IS STILL TYPING ONE JSON REPLY, JEV ALREADY CLOSED 13 TICKETS. same ticket, same four questions, real timings - just slowed down so you can actually see it. the old way: → prompt in, then wait → watch tokens stream out one at a time, 59 tok/s → parse the string back into JSON → validate the schema befor…
using hyperspace agentic-os running on my macbook + jev + a frontier model to order me the zero to one book on amazon. ps: this video is condensed for posting here, actual automated drive took ~30 seconds. cc @JeffBezos @elonmusk @CompleteSkeptic @buccocapital
I put 10,000 movie posters in one endless room with Jev. Tell it what you're in the mood for and the walls rearrange. https://t.co/1fPdHBSosj https://t.co/QGduf0QJfe
Open the source to read this non-English community post.
Fun little @typesafeai jev demo to analyze book plots of the top 250 sci-fi and fantasy books to help you find your next read. Ask stuff about the story, like "protoganist named david", "class warfare", etc. It reads each Wikipedia plot — not the book — and keeps the matches. Jev makes this super fast and cheap. https…
I just scanned the base:0x32f66ec2ffb26d262058965cf294f951e47f8ba3 token on the Hype Meter and these are the results: HYPE 82/100 (how loud) LEGIT 36/100 (how real) Verdict: HYPE WAGON for @AGNTSOCIAL 🫡 Jev decides: https://t.co/xBwkAZICYh
I ported Robotopia Skill Checks (eg. persuasion, secret reveals, intimidation) to @typesafeai 's Jev, and dang it is FAST! Should speed up talking to NPCs quite a bit :) https://t.co/dRqRHETNOh
Introducing Jelight v0.1.0 A code highlighter lib backed by Jev. Fully Open Source with no external dependencies. Works with both @vercel & @typesafeai api gateways. https://t.co/MliJSuL8GX
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
A really cool use case of how we use Jev to understand how people talk about Upstash This is 100% open-source too. Quick demo 👇 https://t.co/KlwpWJYsAH
180 طلب كشفت لي أن سؤال: «أي نموذج أفضل؟» كان السؤال الخطأ. بنيت اختبار لفرز أخبار السوق إلى: مهم، غير مؤكد، أو ضوضاء. ثم تحديد اتجاه الخبر ونوع الحدث. الاختبار شمل 30 حالة صناعية بالعربية والإنجليزية، من السوقين السعودي والأمريكي، وشغّلت كل حالة 3 مرات على كل نظام. النتيجة: ـ TypeSafe حقق 100% في تصنيف الإشارة، و100%…
Open the source to read this non-English community post.
jev helped me build my own ad blocker - apple safari-inspired thanos snap … INSANE! w/o any hardcoded filter lists. looks at each element and decides: ad or not in one article: 16 ads gone, ~20k tokens, $0.0008 cached for next visit open source, byok, repo below @typesafeai https://t.co/qkuzE6Wx1N
Hype aside, I switched to Jev as the classifier for RedReplier. Ran it against the 2M dataset, and the quality is BETTER than my previous setup with DeepSeek. Saves me ~$700/year, and it's ridiculously fast - roughly 5x faster. https://t.co/khGk7inFKF
Quando vi o que o Jev promete e apareceu o Laya, a versão open source da mesma ideia, eu pirei: tinha que testar num jogo, que é o meu cerne de estudo. Virou um Space Invaders ao contrário, humano contra a sua placa de vídeo. O seu PC é a Terra, você é o invasor, e eu tentei derrotar um modelo de pensamento rápido na…
Jev + Opus 5.5 is the best AI trading system that I’ve built in my life It's actually replaces Quant teams at billion-dollar HEDGE FUNDS I just connected Opus 5.5 to Jev - Opus creates new strategies 24/7 while Jev scans the world’s best HFT playbooks, picks the perfect one and FIRES it in milliseconds setup takes lit…
Built some Jev-powered capability into Treeo If the request doesn't come back within 750ms I just run the "otherwise" path so the user doesn't even perceive a hiccup. But I'm seeing avg roundtrip times of ~250ms Faster than an on-device model for classification! https://t.co/UHLGR21gfx
I built Jev-feed-analyser that reads my X timeline while I scroll Every post gets 12 typed questions, answered in ~300ms each > is it shill, does it read like AI, is it worth a reply > each answer comes with a confidence score > one verdict per post, keep, reply, skip or mute the author No summaries, no prose, just de…
Open the source to read this non-English community post.
@sbusso "JEV" PR branch merged to main, here it is playing 2 player PacMan by itself, powered by laya and MLX-Serve 💪 Thanks ! https://t.co/sD0DBZB9S7
got @typesafeai's Jev running king of fighters inside @sai_borg with no access to the game at all fast inference + structured outputs, pointed at pixels. no integrations, no credentials, nothing installed real time use cases are about to get weird #robosecretary #saifleet https://t.co/H5lRQ1ZZOX
What if you need to know if its odd?? No worries, I am introducing "is-jodd", a package that uses @typesafeai Jev model to determine if a number is odd. 40% smaller runtime than @RozenMD is-jeven. Get started at https://t.co/p3O5hFk4kh
@CompleteSkeptic I built Jevbrain to save orchestration tokens when choosing a sub-agent model. Send a task brief + eligible worker profiles to @typesafeai’s Jev. It selects a model, role, and effort profile; your host runs it. https://t.co/lByc9f4WPZ
Get better Jev probabilities with a one-line import change. One problem with @typesafeai 's Jev as a decision model: reordering the same choices can change their probabilities. pijev improves probability estimates by batching permutations into one API call and averaging the predictions—with negligible additional cost.…
I turned Jev (@typesafeai) into the world's worst clock, meet Jock It usually thinks it's 12pm (except sometimes it doesn't) https://t.co/RVK2Ht6Gwd
My friend @mritunjay394 always wears the best fits. And every time, I end up opening 10 tabs trying to find something similar online 😅 So I built WearScout 👕⚡ Drop in a photo of any outfit → @deepseek_ai V4.1 Flash on @nebiustf figures out the look → Jev takes over a real Chrome browser and hunts across Amazon India,…
semantic search prototype w. Jev for Korale. https://t.co/rJpdwiT5w1
I connected Jev to Grok and gave them a Polymarket account for one night. I woke up to +$1,930. At first I assumed they caught one huge market. They didn’t. When I opened the logs, I noticed something much more interesting. Grok wasn’t actually deciding when to trade. It was estimating what each market should be worth…
decided to use the build first bits to teach myself a little bit about how jev works go to https://t.co/6bG9flWARy and type in a word to see how typesafe uses jev to decide which colors are most likely to be represented in that word the cursor becomes a magnet that attracts the bits based on the decision ranking
Introducing JevBench: What does Jev think about each model? Jev thinks Kimi K3 is the best model, and GPT-6 Astra is the second to worst. OpenAI takes a whooping on JevBench https://t.co/Pem5bDrk77
Open the source to read this non-English community post.
Open the source to read this non-English community post.
I truly believe this idea was given to me by god check out https://t.co/sNJ0JHITYz - powered by System One Jev send it to you mom and sister https://t.co/hXf0RRhuuE
Open the source to read this non-English community post.
Open the source to read this non-English community post.
Open the source to read this non-English community post.
hey jev just got a lot smarter 🧠 jev x exa is LIVE on @heyjevbook 🧾 tag it under any claim on X: no web → "unverifiable" with exa → verdict + source + receipt, in ~1.5s thank you @ExaAILabs @TheIshanGoswami for the idea. we shipped it the same day. ⚡️ https://t.co/xOLj1j3IoH
Thought Jev couldn't chat? Think again!!🤯 I felt bad that Jev was always limited to the choices we provided. So I gave it a voice, and built an app where you can chat to it. Try it out, the results are hilarious! https://t.co/thQzv2w1Ff https://t.co/7Bb3y1BCq7
Open the source to read this non-English community post.
Open the source to read this non-English community post.
shipped auto-tagging for your saved vct rounds notes turn into tags in <1s, then just ask for what you want in plain english and it pulls the exact rounds from your tags + metadata powered by jev from @typesafeai https://t.co/aqcD9DktMU
No community cases match these filters.