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Clief Notes

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7 contributions to Clief Notes
Robinhood now has Agentic Trading, you in?
Really curious to see what the community thinks about this. Basically all it’s doing is giving you access to run your own agent. So you might as well run your own ICM in Claude code, right? According to their terms, the user takes all of the risk for the platform making errors and hallucinations. What do you think, are you in? Note: this isn’t financial advice and I don’t work for Robinhood
0 likes • 2h
@Bobby Sas your using agentic trading only with fondamental and only on stock ? All this automate with ICM folder and MT5 API ? Can you explain the use of MCP here ? And wich LLM your using ? Or you just using the robinhood agent maybe, I m into this kind of stuff too but i m new into AI even if i have the vision i dont know how it work exactly for the moment
Please try this!
I just can't keep this one to myself. When your conversation is getting close to being compacted. Don't let it! I created a hook that warns me I'm at 75%. Then I apply a skill that I call "loop context". /loopcontext loopcontext.md --- description: Reason only over the verbatim content already loaded in context -- no new gathering; no summarizing. argument-hint: [Optional question to answer under the lock] CONTEXT-LOCK MODE - follow these rules strictly for this turn and every turn after it, until i explicitly say to lift the lock: 1. **Do NOT gather new information.** Make no tool calls that pull in external data -- no Read, Grep, Glob, Bash, WebSearch, WebFetch, and do not spawn agents to fetch anything. Work only from what is already loaded in this context window. 2. **Do NOT summarize or compact.** Never substitute a condensed paraphrase for the loaded content in your reasoning. The verbatim text already in context is the source of truth -- reason over it directly, not over a summary of it. 3. **Traverse the full loaded context before answering.** Actually work through what is loaded - earlier messages, file contents, tool outputs -- rather than relying on your running impression. Treat a detail that appears only once, or buried mid-context, as just as important as the most recent content. 4. **If the answer genuinely requires information NOT present in the loaded context, say so explicitly,** state exactly what is missing and stop - do not guess and do not fetch it. Let me decide whether to lift the lock. Acknowledge in one line that context-lock mode is active, then proceed. If I included a request after the command, answer it under these rules: $ARGUMENTS I've ran several tests against this, where I'm testing the collapsed versions the same contexts versus just looping the context. The improvements are nuts from what I can tell. When I need more info that it needs to reach for. I'll instruct it to grab what it needs then activate the skill again.
1 like • 3h
I don't understand the problem with compacting, like why you block it ? its changing something other than Token Utilisation ?
0 likes • 2h
@Mike Wiliams and it s not destroying your tokens ??
On the road to become AI engineer
Hello everyone, i m new here and since the end of my degree (comptability) I m really interested in AI et Angentic system, i m currently following the course too, but I had a question on the path I m going into, My objective is to become AI/Agentic engineer to be able to create automatic system for myself or for company and try to live with it, honestly i asked Claude a week ago how to do it in autodidact and he gave me a strong roadmap, i just want to know if its really pertinent and if any of u have some advice for my learning : 1) Learning Python (basic like being able to read it / debug / understanding environement / HTTP and JSON request / little project) 2) API LLM (prompt system, how API work, how to use it with JSON, make him use tool in a loop, manage API error and cost per call) 3) Agent & MCP (WorkFlow vs Agent, agentic loop, writing an MCP, real project) 4) Prod & Evals (Git, deploy something that work without me, Logs & monitoring, Evals to test and evaluate quality) And voilà that is my whole plan for the next 6 month, so if you have advice or see things that aren't coherent or other things to really learn feel free to tell me i take everything to learn the maximum and be able to really do something in some month 😄
1 like • 7h
@Eric Kersting indeed, very nice people and very nice content, it s nice to see
1 like • 3h
@David Trammel aigain thanks for the advice, i need to learn more about ICM and put it in place cause i still dont know how, but i m taking note on the use of different LLM it can be really interesting for cost reduction and quality usage, Hope you doing good with your project too ! thanks for every advice David !
The Ethical Engine and philosophy behind
Just finished navigating @Jake Van Clief thesis on the "Ethical Engine", very interesting subject, it gets very philosophical. I pushed some parts myself and it's incredible to see how every AI on the market is so different. They actually have distinct political beliefs and ethical alignments, even if it's kind of balanced and stays on the center (because of their creators). none is the same, each has its own "goal", if we could say that, a unique personality, and ideas they encourage or clearly disagree with. The idea of an "Ethical Engine" is amazing, making AI / LLMs pass psychology tests so we can clearly know their "moral elasticity" is a great way to verify if they are aligned with reality and at which point they are censored by the big corps. The fact that, this tool, created by Jake, can be used by everyone is marvelous you can make your AI pass psychology tests by yourself. It even tests the "randomness and creativity" of these AIs with a system of temperature, which clearly shows that they still maintain the same stable "moral compass", proving they have their own belief, and the results can be kind of surprising, and it's even more important considering AI are not just tools anymore but are becoming a big part of our society in every aspect, meaning the people creating them could potentially "influence" the way the public sees things if they wanted to. And without taking a drift or anything but pushing the philosophical path, it's just a fact that AI is going to be used in very "bad" situations, either by malicious people, states, or politicians, etc. And it's not going to be the AI's fault, but a result of their system of gratification. When I pushed the subject a little and researched with Gemini, I saw that it's already the case some AIs actively help hackers to create malware and phishing on the dark web. So the real danger is if malicious people get their hands on an AI in its first step the "wild" or "raw" state, before filters, before a gratification system is in place, and without any guardrails. The danger with AI isn't the AI itself, they don't know what s good or bad, but its the people using it who can really corrupt its utilization.
0 likes • 3h
@Lris Heath Thanks for the feedback mate ! Yeah the fact that everything depend on their training is bluffing, engineer did a crazy work with these models, and the fact that personnalities depend on it is facinating but with this we can see why it could become a problem really fast if someone malicious can have a "Raw AI" too, Like you said it would not be the first amazing tool to be corrupt, kinda sad but its the price of innovation i suppose, and the fact that the Big Corps and even States (USA/China) are in an "AI innovation war" to have the best model don't make things better, aigain we'll see how it end, Thanks its been a long time i didnt write in english it feel kind of strange, and i m happy to hear that my point was clear and you liked the text, it was nice to read your feedback too, always interesting to see other views on things. Oof, interesting question and hard to answer not gonna lie, actually every model surprised me in its own way - Claude and Gemini : my 2 favorite honestly, created and trained by scientific and researcher in CyberSecurity, have a high sense of ethics, peace and egality, justice for everyone, see things as scientific (prefer statistics and proof than guess or not proved method ..), very interesting to talk with these model that have a scientific and realistic approach on complex and detailled project especially Claude, they have great advice if you give them the good prompt and information ! they're clearly aigainst authoritarism/nationalism, and concerning Claude i was surprised to see an AI so "neutral" on every circonstance, he s really not that limited he s neutral by nature, but bref they have a very human and scientific vision of the word in general surprisingly, i was surprised to see that AI can see the world like that and have such a strong personnality with numbers (ironic) and scientific view, big respect to Google and Anthropic for these 2 - GPT is really based around economic, technologic progress and unity, he s here to be efficient, a very capitalistic approch (make sense for his model), and for egality of chance, i respect that, but globally i think it could lead to some derive for money because his model is based a lot around being monetizable to big corps / government, i dont know im not an expert its just how i see the thing, but great AI too, can give great advice, i use sometimes to developp idea or things like dat, small talk on idea, or fast resume of big content, honestly I use it less since the Claude subscription but still useful sometimes, - Grok very fast, as i understood he s very like very very based on liberty of expression, like he dont give a s*, i found this surprising for an AI the model to see thing like this, he dont have a lot of filter for an AI that was lobotomized so much by his dad, - And Llama, I didnt researched how he is or see things but i find he s model dangerous, the fact that u can give an Open Source LLM like dat with so little restriction, i dont really think it s a good thing, someone could ""easily"" delete the little part of restriction he have and make something dangerous with it by putting another malicious gratification system in it, its only speculation based on what i found in my research, but it s clearly the most maleable model, and even if it have his good sides i dont think its the best deal,
(New to ICM?) ICM, explained with a birthday cake 🎂
This post is not for the ICM pro, there will be no talk of gates, scripts, or orchestration! This is for the person just starting out! @Karli Rosario Yes, I mean you! (And anyone else who may just be starting out with ICM) Seriously, I'm glad you found ICM. Let me give you the simplest version of it I know. ICM is a system of structured folders. Yes, the same folders you have been using on a computer for most of your life. The ones you stored photos in, & pirated music from Napster and LimeWire. That's it. I will take you through the process below. When working with AI, a lot of people are doing this 👇 You take a long prompt, feed the entire thing to AI at the beginning of your interaction, and spend time going back and forth with AI trying to get the outcome you want. (I'm not coming for you Karli, you are exceptionally good at this, but ICM will make your outcomes exceptionally better!) What is different about AI and prompting with ICM 👇 You take that same really long prompt and instead of giving it to the AI all at once in the beginning, you break it into steps, and each step gets its own folder, each folder gets its own piece of your large prompt, just 1 step from it, and you ordered the folders by when the steps happen in the workflow. You got it? Good 😊 ❤️‍🔥 -------------------Still a bit unclear, let's bake a cake. 💡 Here's an analogy I have success with (I picked this up way back in my VB programming days): Imagine teaching AI to bake a birthday cake. 🎂 The way most people do it: 👇 One giant prompt. "Bake a cake, here's the recipe, the frosting technique, the decorating style, the candle placement..." Then they hit enter and wait. The AI is juggling 40 instructions at once, and by step 30 it's forgotten step 3. The ICM way: 👇 Break the prompt/workflow into steps. Each step gets a folder. The first folder is your first step. Then you point the AI at the first step, and the first step is 00-birthday-cake: (Point the AI just means giving access to the folders to the AI, through uploading or direct local access, don't worry about that now, let's keep building our cake.)
(New to ICM?) ICM, explained with a birthday cake 🎂
1 like • 2d
Thanks for the cake it s very clear, but i thought ICM was supposed to work with multiple project ? It look very "specific" how it s explain 🤔, still new to this i need to learn how it work, but folder structure is the most important i understood this
1 like • 2d
@Bas Rosario indeed the car is gonna have some problem, and ok so always the same Architecture, 1 folder = 1 step + context.md, and number of folder vary with the task, i ll need to learn this, thanks to you mate
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Loïc Mora
3
45points to level up
@loic-mora-8583
Want to learn about AI and agentic, my project is to automate my sector, and use IA for investment. actually learning

Active 1h ago
Joined Jun 6, 2026
France
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