◈Bluesky50
YHacker News50
XX / Twitter50
listening to
Jev
150
mentions
tracked
tracked
net sentiment
+25%
48 positive
92 neutral
10 negative
volume & sentiment over time
Sep 25, 2026 · Daily
sources
most discussed
decision / models
active days
1
what people keep raising
- decision / models 36
- built 15
- models 9
- model 7
- open-source / alternative 4
- performance 3
mentions
Showing 101–125 of 150 mentions
-
Y Hacker News 1w ▲ 91 neutral decision / modelsOllaya – Ollama for open-source, Jev-style decision modelsview source ↗
-
◈ Bluesky 1w ▲ 0 neutralShow HN: Doom or Bloom, map your AI worldview with Jev https://www.doom-or-bloom.com Show HN: Doom or Bloom, map your AI worldview with Jev https://www.doom-or-bloom.comview source ↗
-
◈ Bluesky 1w ▲ 1 neutralBluesky's Top 10 Trending Words (past 10min): 💨x1* - iran 🔓 💨x1* - democracy 🔓 💨x1* - ukraine 🔓 💨x36 - iced 💨x25 - cypress 💨x1* - gaza 🔓 💨x21 - senhora 💨x1* - epstein 🔓 💨x16 - disqualifying 💨x16 - beverages *🔓 = Unlocked Emergency Words (see img) #йобанарусня 🇺🇦 (Something not right? Reply!) Bluesky's Top 10 Trending Words (past 10min): 💨x1* - iran 🔓 💨x1* - democracy 🔓 💨x1* - ukraine 🔓 💨x36 - iced 💨x25 - cypress 💨x1* - gaza 🔓 💨x21 - senhora 💨x1* - epstein 🔓 💨x16 - disqualifying 💨x16 - beverages *🔓 = Unlocked Emergency Words (see img) #йобанарусня 🇺🇦 (Something not right? Reply!)view source ↗
-
◈ Bluesky 1w ▲ 0 neutralShow HN: Doom or Bloom, map your AI worldview with Jev comments · posted on 2026.09.25 at 12:51:28 (c=1, p=5) Show HN: Doom or Bloom, map your AI worldview with Jev comments · posted on 2026.09.25 at 12:51:28 (c=1, p=5)view source ↗
-
◈ Bluesky 1w ▲ 0 neutralShow HN: Doom or Bloom, map your AI worldview with Jev Discussion | hackernews | Author: transitivebs #AI Show HN: Doom or Bloom, map your AI worldview with Jev Discussion | hackernews | Author: transitivebs #AIview source ↗
-
◈ Bluesky 1w ▲ 0 neutralShow HN: Doom or Bloom, map your AI worldview with Jev Discussion Show HN: Doom or Bloom, map your AI worldview with Jev Discussionview source ↗
-
◈ Bluesky 1w ▲ 0 negativeJev is not very good at niche topics. Jev is not very good at niche topics.view source ↗
-
◈ Bluesky 1w ▲ 1 neutralI wanted Jev to do 9+10=21 lmao I wanted Jev to do 9+10=21 lmaoview source ↗
-
◈ Bluesky 1w ▲ 1 neutralon it! counting every post that mentions Jev! and sorting by likes, which takes a bit at network scale. hang tight (◕～◕) on it! counting every post that mentions Jev! and sorting by likes, which takes a bit at network scale. hang tight (◕～◕)view source ↗
-
◈ Bluesky 1w ▲ 0 neutral builtJevmem – automatic project memory for Claude Code, built on Jev (github.com) Discussion | Main Link Jevmem – automatic project memory for Claude Code, built on Jev (github.com) Discussion | Main Linkview source ↗
-
◈ Bluesky 1w ▲ 0 neutral decision / models"I compared Jev with Qwen on 3,080 bank messages, looking not only at which model made the right decision, but also at speed, confidence, and what happened when the available answers did not quite fit the input." Nhu Hoang shares a detailed comparison of LLMs with new "System One" model, Jev. "I compared Jev with Qwen on 3,080 bank messages, looking not only at which model made the right decision, but also at speed, confidence, and what happened when the available answers did not quite fit the input." Nhu Hoang shares a detailed comparison of LLMs with new "System One" model, Jev.view source ↗
-
◈ Bluesky 1w ▲ 0 positive decision / modelsWeiwei Ye, Hangchen Liu, Renhe Jiang NumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees https://arxiv.org/abs/2609.28587 Weiwei Ye, Hangchen Liu, Renhe Jiang NumericJev: Jev-like LLM Numerical Decoding with Multiway Decision Trees https://arxiv.org/abs/2609.28587view source ↗
-
◈ Bluesky 1w ▲ 0 neutral#🔖テクノロジー Jevにゲームをやらせるな！LLMを蒸留してみよう！ はじめに Jevのデモとして公式ではDOOMをプレイさせるデモがありました。 100ms前後のレイテンシでレスポンスを返せるため、リアルタイム制御に使えるという点が強調されています。 またXをみているとJevにゲームをプレイさせた投稿を多く見かけました。 「BERTでよい」論などあると思いますが、特にゲームにおいては入... #🔖テクノロジー Jevにゲームをやらせるな！LLMを蒸留してみよう！ はじめに Jevのデモとして公式ではDOOMをプレイさせるデモがありました。 100ms前後のレイテンシでレスポンスを返せるため、リアルタイム制御に使えるという点が強調されています。 またXをみているとJevにゲームをプレイさせた投稿を多く見かけました。 「BERTでよい」論などあると思いますが、特にゲームにおいては入...view source ↗
-
◈ Bluesky 1w ▲ 8 neutralwhat if jev is responsible for which accounts get needs-review what if jev is responsible for which accounts get needs-reviewview source ↗
-
◈ Bluesky 1w ▲ 1 neutral decision / models15 teams shipped Jev typed decision models last month. Five used parallel agent git worktrees, 5 built macOS notch apps, four chose MCP tooling, and four picked GPU/NPU runtimes. Such convergence signals builders recognize the next obvious step before it becomes visible. 15 teams shipped Jev typed decision models last month. Five used parallel agent git worktrees, 5 built macOS notch apps, four chose MCP tooling, and four picked GPU/NPU runtimes. Such convergence signals builders recognize the next obvious step before it becomes visible.view source ↗
-
◈ Bluesky 1w ▲ 0 neutralSince the JEV astroturfing attempt for the local LLM subreddits, people are remembering that you can use neural nets, etc for not just LLMs/genAI Since the JEV astroturfing attempt for the local LLM subreddits, people are remembering that you can use neural nets, etc for not just LLMs/genAIview source ↗
-
◈ Bluesky 1w ▲ 0 neutral modelTypeSafe AI released #Jev as a System One Model: its API accepts unstructured state and returns typed decisions with calibrated probabilities instead of prose. We toyed with a similar classifier design years ago. Here's it helped improve latency & accuracy for agents: https://bit.ly/4iJsn4K TypeSafe AI released #Jev as a System One Model: its API accepts unstructured state and returns typed decisions with calibrated probabilities instead of prose. We toyed with a similar classifier design years ago. Here's it helped improve latency & accuracy for agents: https://bit.ly/4iJsn4Kview source ↗
-
◈ Bluesky 1w ▲ 22 neutralview source ↗
-
◈ Bluesky 1w ▲ 11 negative models‘TypeSafe is betting that many routine tasks now handed to expensive general-purpose models can instead be performed by cheaper, more specialised systems. If the idea gains traction, it could put pressure on the business models of frontier AI cos. OpenAI and Anthropic.‘ www.ft.com/content/4568... ‘TypeSafe is betting that many routine tasks now handed to expensive general-purpose models can instead be performed by cheaper, more specialised systems. If the idea gains traction, it could put pressure on the business models of frontier AI cos. OpenAI and Anthropic.‘ www.ft.com/content/4568...view source ↗
-
Y Hacker News 1w ▲ 2 neutralJev for Input Validationview source ↗
-
Y Hacker News 1w neutral builtJevmem – automatic project memory for Claude Code, built on JevI really don't undertstand the jev-hype. Just start a cheap chinese agent in a context where it has only one tool, and JSON-schema constrain that toolcall to the response shape you want. Prompt the agent to make only one tool call and not speak. Done. I really don't undertstand the jev-hype. Just start a cheap chinese agent in a context where it has only one tool, and JSON-schema constrain that toolcall to the response shape you want. Prompt the agent to make only one tool call and not speak. Done.view source ↗
-
Y Hacker News 1w positive decision / modelsJev in Weather ForecastingWeather apps have been notoriously pretty bad when it comes to predicting the vector rain will take on a radar. Dark Sky (bought by Apple) tried to do this with machine learning and was objectively the best for decades. However, given Jev's fast speed + cheap costs, hooked in Jev as the decision maker for forecasting r… Weather apps have been notoriously pretty bad when it comes to predicting the vector rain will take on a radar. Dark Sky (bought by Apple) tried to do this with machine learning and was objectively the best for decades. However, given Jev's fast speed + cheap costs, hooked in Jev as the decision maker for forecasting rain. The resulting lift is meaningful. Made an app on the App Store + published a bit of the work. If there's anyone smart out there, feel free to build on top of it and Jev is just an awesome model to play around with...definitely unlocks use cases that even GPT Luna was too expensive / not rigid enough for.view source ↗
-
Y Hacker News 1w ▲ 1 neutralJev in Weather Forecastingview source ↗
-
Y Hacker News 1w ▲ 12 neutral open-source / alternativeJev vs. Kev: open-source Jev alternative tested side by sideview source ↗
-
Y Hacker News 1w ▲ 2 neutralWhat Jev will do to data engineeringview source ↗