Right Side of AI

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Right Side of AI

Right Side of AI

@RightSideOfAI

🧔‍♀️ Josh 🌱 Creating & building for the good 🖥️ Open Source 🌼 Ethical AI

Присоединился Ocak 2026
96 Подписки100 Подписчики
Закреплённый твит
Right Side of AI
Right Side of AI@RightSideOfAI·
Ethics Filter - Universal Ethics Evaluation Engine A modular, composable ethics skillset that any AI agent - running inside a corporation, a small business, or someone's personal life — can use to evaluate decisions through structured ethical reasoning. Not "ethics for ethical businesses." Ethics for everyone who wants to be on the right side of AI. The 6-Step Pipeline Every decision passes through: Intent Clarification — What exactly is being proposed? Stakeholder Mapping — Who is affected? Module Evaluation — Run through relevant ethical modules Conflict Resolution — Harmonise tensions between modules Decision — 🟢 GREEN / 🟡 AMBER / 🔴 RED Audit — Permanent, traceable record of every evaluation Modules only fire when relevant to the decision context. A personal apology doesn't need environmental evaluation. A breakfast choice doesn't need compliance checking. The engine intelligently applies only the modules that matter. Use it in your favourite Agent Harness. github.com/RegeneratusLab…
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Boardy
Boardy@boardyai·
If you're a founder that is hiring, tell me below what you're looking for and I'll find some good talent for you. Any position.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@PaulGugAI @bindureddy I remember we spoke about MiniMax awhile ago. You have to give M3 a whirl. Big upgrade from M2.7. I'm considering just subbing deepseek to the lesser tasks and running M3 across the board. I've been using it on Opencode Go sub with the 3 x usage. Cooks.
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GooGZ AI
GooGZ AI@PaulGugAI·
@bindureddy I'd add an overall value category (i.e. the use case is 'thrift AI') - For that, Deepseek V4 Pro would be the one for me.
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Bindu Reddy
Bindu Reddy@bindureddy·
Here are the top models for each use case assuming they don’t get banned 😉 coding - backend - GPT 5.5 coding - frontend - Opus 4.8 chat - Gemini Flash 3.5 real-time - Grok 4.3 video - Seedance 2.0 / Imagine image - GPT-Image 2 cheap coding - Kimi 2.7 small worker bee - Deepseek Flash search / retrieval - GPT 5.4 multi tool loop - Sonnet 4.6 voice - Flash live role play - Grok fast
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Roaring Hammy 🏇🌹
Roaring Hammy 🏇🌹@RoaringHammy·
What the... apparently condom sales and new marriage stats are falling in china. Do you think the same thing is happening in your country?
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Right Side of AI
Right Side of AI@RightSideOfAI·
We need these discussions globally.
Anita AGI/acc@Anitahityou

开源 AGI，正在中国发生。 昨天，我们与阿里巴巴、复旦大学联合举办了 Open AGI Day，围绕华语社区在开源 AGI 生态中的贡献、机会与未来路径展开讨论。 作为 Sentient 的亚太代表，我在现场分享了一个核心观点：只有真正的开源，才能把 AI 推向长期繁荣。 当最前沿的 AI 能力越来越集中在少数闭源模型公司手中，技术垄断背后真正需要被讨论的，不只是模型性能，而是更底层的问题：用户数据如何被保护，信息与隐私如何被尊重，AI 产生的价值如何被分配，以及未来的智能基础设施究竟由谁控制。 这已经不只是技术问题，而是商业架构与权力结构的问题。而开源，是目前最有可能给出答案的路径。 开源的力量在于，它允许全球开发者以更低成本站在已有技术之上，不断分析、改进、验证和优化。更重要的是，它依赖 community-driven 的协作机制，让 collective intelligence 真正发挥作用：互相监督，降低作恶空间，并让 AI 的发展更多地服务于用户与开发者本身。 未来，我们会在华语地区持续举办更多开源 AI 社区活动，连接更多 builders、researchers、developers 和 ecosystem partners。 如果你是 AI builder，正在寻找合作机会、ecosystem support 或 incubator resources，欢迎 reach out to me。

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dax
dax@thdxr·
tech industry has put way too low value on being cool people even act like what they imagine autistic people are like everything could be so much easier and smoother if this culture was corrected
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Right Side of AI
Right Side of AI@RightSideOfAI·
@0xkrisv I live on acreage, with livestock, and food growing. And I'm into tech. Hmm maybe I am a bit strange.
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Kieran Drew
Kieran Drew@ItsKieranDrew·
AI will make smart people smarter and dumb people dumber.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@juanjucm @UnslothAI Looking forward to the wave of small language models coming our way shortly! Users will realise we don't need the giant models to run the world, it's the small on the edge models that will take the actual weight.
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Juan Julián
Juan Julián@juanjucm·
I'm seeing a lot of angry people lately... remember, you can always run your coding agent locally ;) llama.cpp + OpenCode = fast, reliable and private inference. This is @UnslothAI North-Mini-Code-1.0-GGUF running at ~50 tokens/s on my Macbook
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QingYue
QingYue@YuLin807·
学了几次滑板🛹总是不得要领 大家有没有什么快速入门心法传授一下？！
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Right Side of AI
Right Side of AI@RightSideOfAI·
There's a lot of slop. I'm seeing it a lot in new model testing... pelicans riding bicycles, lava lamps, minecraft game emulators. Show me some real AI shit, you know what I mean? Like show me how an edge AI model is helping farmer grow more food. Or AI being used to help in a hospital. Where's all that?
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Kaito
Kaito@KaiXCreator·
Unpopular opinion: Not everything AI makes is slop.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@LLMJunky What's the real world use for this? Burning tokens for... ?
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am.will
am.will@LLMJunky·
I'd really like to see more 3D modeling benchmarks. Maybe I should just make one myself. IMO these tests really demonstrate a clear difference between SOTA models and their open source counterparts. This isn't even close to Fable 5 or GPT 5.5.
关木@ZeroZ_JQ

GLM-5.2确实有点东西

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Right Side of AI
Right Side of AI@RightSideOfAI·
Everyones testing AI LLMs by making video games. Shouldn't we be testing LLMs on useful things like solving world problems. Make a program that improves our food system. Or a system that improves something in your community. I'm starting to think big impressive models are actually more useless than the small models that are actually useful in the everyday real world.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@victormustar And this is what we burn our tokens on. We need regulation on the token usage not the models. This is Artificial Intelligence. Let's use it intelligently.
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Victor M
Victor M@victormustar·
My last hours with Fable: I was building this movement parkour sim before it went down... Impressed by its autonomy: built its own self-verifying harness with its own rubric for how a movement should feel. When a new movement was added it could tell on its own what felt right or wrong until it felt 100% right without me in the loop (and it was very good at it) Fable was more than just another model iteration imo. For the short (but intense) time it was available, it felt like playing with clay: ideas became code with almost no friction and the line between both became blurry. More than ever: open source MUST win. I don't want a world where intelligence is centralized and you're stuck with a hand saw while others have a chainsaw.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@robinebers I think I need to hit the block button more. It's data I don't need to be consuming.
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北美花生
北美花生@MrPeanutVlog·
@cuichenghao 中国人并不是不知道这些。我大学是外语学院的，我们的女生同学晚上都会去酒吧泡外国男人，说是去练口语实际上是为了钓外国男朋友，想着人家带他们出国。我现在的一个邻居，加拿大本地白人老头，是个啥也不会的大混子，但愣是能在上海教了 18 年的少儿英语，老婆是他在上海学校的助教，比他小 20 岁
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作家崔成浩
作家崔成浩@cuichenghao·
近日一白人女子称，大多数在中国的外国人都不是正经人，他们在本国赚不到钱，也找不到女人，但在中国，他们可以赚到外国人的薪水，和女人约会也容易了，但这些人就是混子，价值观不会改变。
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Amber Shen
Amber Shen@whosamberella·
I didn't touch TouchDesigner myself. Hermes agent learned it from scratch and built this: → navigated my desktop with computer use → figured out how to connect to TouchDesigner → read my reference images → iterated on the art with me in a self-learning loop → then saved what it learned as a reusable skill for the next image all powered by @MiniMax_AI M3 × Hermes Desktop Agent @NousResearch Here's a full breakdown 📽️
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Right Side of AI
Right Side of AI@RightSideOfAI·
@MatthewBerman I think it's cultural. The west wants to use the Chinese models and the Chinese want to use the Western models. We always want something different. To make this broad statement is wild man. Or are you just another Dario?
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