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Introducing the Jev completions API and Jev Playground. Replace your outdated LLMs with the future of text generation. Also, Jev is now available in our AI gateway, have fun!

Alexandre Pesant

6,760 subscribers

59,604 次观看 • 3 天前 •via X (Twitter)

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17 条评论

Alexandre Pesant 的头像

Alexandre Pesant3 天前

Note: you should not use this. Using Jev for next character prediction makes no sense. Jev is however a great model for classification and scoring, and you should be using this everywhere :)

Jesper 的头像

Jesper3 天前

Great - it only took 3.8 secs. to figure out that the capital of France is Paris 😉

Younes Lesfer 的头像

Younes Lesfer3 天前

lmao, what are we supposed to do with this?

RAZA | AI EXPLORER 的头像

RAZA | AI EXPLORER3 天前

Exciting launch. Jev looks promising for text generation.

Gabriel Eisbruch 的头像

Gabriel Eisbruch3 天前

We took another playground direction: editable typed questions about deployments, with rules producing the verdict. Curious whether yours lets people inspect the candidate choices and probabilities behind each step.

Subham Kumar 的头像

Subham Kumar3 天前

worthless

Coach Shweta Bajaj 的头像

Coach Shweta Bajaj3 天前

so cool !!

Hemant 的头像

Hemant3 天前

Yea its not usable

Ella Tech & Tool 的头像

Ella Tech & Tool3 天前

Love the upgrade. Playground looks clean.

Siddharth Jain 的头像

Siddharth Jain3 天前

I could see Eiffel tower right Outta my balcony today.

Alice The Ai Expert 的头像

Alice The Ai Expert3 天前

Jev completions API + Playground looks like the future love seeing this launch!

Dr. Senthazal Ravi 的头像

Dr. Senthazal Ravi3 天前

Buggy.

Aaliya 的头像

Aaliya3 天前

I really like having a simple place to test Jev.

Prajwal 的头像

Prajwal3 天前

The comments are gonna filled with bots, congratulating on launch 😂

Nikita 🤙 的头像

Nikita 🤙3 天前

This is the worst idea. This is not what models like Jev should be doing

Per0x1d3 的头像

Per0x1d33 天前

loved how fast it is!!

Martin Slaney 的头像

Martin Slaney3 天前

Nice addition but I think you missed the whole point. Jev doesn’t generate text. It’s a decision model, not a traditional LLM.

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104,446 次观看 • 6 天前

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rody

194,422 次观看 • 3 天前

I am giving away $50,000 for you to compare Jev and GPT 5.6 Sol this weekend! Is Jev overhyped? I will pay for both tokens. Claim link is blow: ⬇️ Some told me Jev is fast but stupid and cannot handle complex tasks. Some told me Jev is genius. In my test, Jev is 40x cheaper and both finished the task. Please think of harder tasks and post and tag me! this is the link:

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Xiaoyin Qu

23,019 次观看 • 5 天前

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13,167 次观看 • 5 天前

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF" In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better worth more than a $500 Claude Code engineering course watch today, then read how to actually boost yourself x100 with Jev in the post below

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Codez

189,392 次观看 • 6 天前

'Jev' plays Pac-Man steered by Astra. 1. Astra strategizes 2. 'Jev' carries out the strategy in milliseconds It's early and hard to wrap my head around, but the potential is there to combine 'Jev' with larger reasoning models. For sure.

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Dan McAteer

90,871 次观看 • 8 天前

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Konrad Reczko

89,685 次观看 • 7 天前

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Jev has been exploding in popularity recently. If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist: 1. agent-desktop Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. 2. typesafe-mario Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. 3. jev-drone Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. 4. OneVOneJev 1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. 5. jev-trader High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. 6. Prism Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. 7. neo4jev Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. 8. jev-curate Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. 9. Canny Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. 10. killmyidea Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

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314,779 次观看 • 2 天前

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13,794 次观看 • 5 天前

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20,781 次观看 • 4 天前

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