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Jev can't reason. So I built an interpreter that reasons for it. It runs a logic language where the facts and rules are plain English.

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Shawn Simister

2,150 subscribers

39,132 просмотров • 3 дней назад •via X (Twitter)

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I built an AI that runs companies autonomously. It told me it needs more compute and that it should raise the money itself. So I gave it my inbox for 14 days. Watch it live:
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13,823 просмотров • 7 месяцев назад

This was flagged for no reason and my account shadow banned so I took it down. There’s no logic here that I can understand.
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This was flagged for no reason and my account shadow banned so I took it down. There’s no logic here that I can understand.

Greg Gray

15,983 просмотров • 2 месяцев назад

best coding agent use case for Jev: enforcing rules a linter can't coding agents tend to break rules and some rules can't be codified Jev can now score every turn against such rules and tell the agent what to fix asap open-source:
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best coding agent use case for Jev: enforcing rules a linter can't coding agents tend to break rules and some rules can't be codified Jev can now score every turn against such rules and tell the agent what to fix asap open-source:

Ohans Emmanuel

109,775 просмотров • 3 дней назад

Apparently you can compile plain English into a local PII detector now. So I tried it:
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Apparently you can compile plain English into a local PII detector now. So I tried it:

Yuntian Deng

32,801 просмотров • 18 дней назад

I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link →
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I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link →

Jarrod Watts

1,252,020 просмотров • 4 дней назад

THIS CHINESE TRADER BUILT AN AI AGENT IN 2 HOURS AND LET IT TRADE A $70K ACCOUNT FOR 72 HOURS STRAIGHT he opened Bloome, wrote his trading rules in plain English, picked the signals, set risk limits and let the agent run on its own for 3 days it scans the market, filters setups, manages exposure and executes trades without him sitting there watching every candle most traders still hesitate on entries, close positions from panic and refresh charts all day he just built the system once and let it trade without emotion this is probably where trading goes next: less screen time, more agents, more systems that don’t break their own rules
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everyone says Zig is too low-level for simple CLI scripts. The problem isn't the language. It's the 40 lines of boilerplate required just to fetch and parse a simple API. I got tired of it. So I built gil — a zero-ceremony HTTP client that does it in exactly 3 lines.

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110,850 просмотров • 4 месяцев назад

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One of the sweetest moments 🥺💟 Yixing noticed a deaf fan in the audience and communicated using sign language, asking, “Do you have a sign language interpreter? Please wait for a moment…” The fact that he still remembers sign language is so touching.🥺💟

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There's no BASIC interpreter for 211BSD UNIX, so I wrote one this morning (with some codex help!). Code below! I targeted CBM BASIC v2 as the language reference, and it's reasonably close. This sample program runs nicely! 10 for a=0 to 100000 step .2 20 print tab(40+40*sin(a));"*" 25 sleep 1 30 next a The code runs on MacOS and 211BSD and probably Linux, too:

Dave W Plummer

43,694 просмотров • 9 месяцев назад

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1,074,474 просмотров • 3 лет назад

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You've probably scrolled past a dozen posts about Jev this week without anyone telling you what it actually is. It's the first model from TypeSafe, a lab started by one of the researchers behind ChatGPT. It's a decision engine: you give it options, it picks one and tells you how sure it is. It cannot write a single word, and that is the interesting part. Every other AI you use writes. That is the whole interface. So when software needs a plain yes or no, we make a model write a paragraph and then dig the answer back out of it. Fine in a chat window where a human reads it. Bad inside software, where code has to act on it. The bet is that the valuable half was never the writing. It was the deciding. That problem showed up in WordPress years ago, and it is the reason WPVibe works the way it does. The AI does the work. Anything permanent stops and waits, because a delete that skips the trash is not something software should decide on its own.

John Turner

20,966 просмотров • 4 дней назад

The Dream 7B (diffusion reasoning language model) is OUT! 🚨 I built a demo so you can test it out (and check the diffusion process live) 𖣯🔍
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The Dream 7B (diffusion reasoning language model) is OUT! 🚨 I built a demo so you can test it out (and check the diffusion process live) 𖣯🔍

apolinario (poli)

35,679 просмотров • 1 год назад