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

Sumali Ocak 2026
95 Sinusundan100 Mga Tagasunod
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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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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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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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Right Side of AI
Right Side of AI@RightSideOfAI·
@techNmak AI doesn't care for our tidy code though? Also does it still deliberate and use tokens to not write the code? We are putting our 'tidy code, tidy mind' practices on AI. It's just there to build what you ask.
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Tech with Mak
Tech with Mak@techNmak·
A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix. He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one. Now your agent does the same. Before writing anything, it looks for a reason not to. 80-94% less code. 47-77% cheaper. 3-6x faster. The best code is the code you never wrote. GitHub Repo: github.com/DietrichGebert…
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Jesse Samuel
Jesse Samuel@jwsaml·
Hot take: Fable 5 is banned cause of Anthropic's own marketing, and not because it's dangerous
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Temple
Temple@xCryptoTemple·
@RightSideOfAI @jwsaml The other AI companies. This whole Anthropic thing? It was personal. That's how Trump operates. Simple as that.
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Joey Lee
Joey Lee@JoyLi629·
正式发布Open Design全新官网🚀全部使用 Open Design 设计🔥 网站集成了Open Design 全部资源,包含项目中的全套265 视觉模板和 150 多套 Design Systems,以及 50+ Open Design精选教程 👇地址见评论区
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Eric
Eric@Ex0byt·
We are at an important precipice, and the folks at Zai_org have been tipping the scales in favor of self-determination, continuity, autonomy, and personal AI sovereignty. Congrats yet again, my friends. Thank you!
jietang@jietang

GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global. The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer. GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model. Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week. A step closer to frontier intelligence for everyone. The future of AI is open, and it is for the people. ModelKey: GLM-5.2

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Right Side of AI
Right Side of AI@RightSideOfAI·
@kevinswiber @designcoursecom I remember the Seti days. As a child my dad would run it over night. We felt like we were contributing to a combined research project. memories.
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Gary Simon
Gary Simon@designcoursecom·
There has to be a way.. A decentralized, global crowdsourced effort to train a model with every consumer GPU that can compete with frontier models. INTELLECT-2 is a thing, but the effort has capped out to a 32b model.
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Right Side of AI
Right Side of AI@RightSideOfAI·
@neural_avb The generous token plan of MiMo is probably it's saving grace. But it really over thinks and just goes in circles.
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AVB
AVB@neural_avb·
@RightSideOfAI I’ve not run Mimo much, but I also feel Minimax is one of the best bang for buck model right now for agentic tasks
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Right Side of AI
Right Side of AI@RightSideOfAI·
@Numbah404 MiMo does go on some wild tangents. Where as M3 is more matter of fact and is better with it's reasoning/questioning. Just on my vibe tests. They both score very similar on benchmarks across the board though.
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Numbah404
Numbah404@Numbah404·
@RightSideOfAI Ah yea, I use Claude code myself. But I’ve built an AI harness (coding related) for my SaaS and that’s what I use MiMo for. Currently testing MiniMax and the new Kimi right now but it’s too early to tell
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Numbah404
Numbah404@Numbah404·
The MiMo-V2.5-Pro is the best model for performance/price
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Right Side of AI
Right Side of AI@RightSideOfAI·
@Numbah404 I'm using the opencode go subscription and it's pretty good value for money too. But am thinking of between MiniMax M3 and the MiMo V2.5 Pro for a subscription plan.
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