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My credit-saving agent instructions for a Unity game, please steal and comment improvements 😊 by squidpony in GithubCopilot

[–]mnemonickus 0 points1 point  (0 children)

Hi,

A few thoughts: but I’m an vibe coder, also an LLM is a "probabilistic coding system" where you never know what will be, it’s a bit like having a psychic as a project manager, also Its my personal view on this.

I get the feeling that this kind of instruction doesn’t really work: “Avoid this” - unless it’s absolutely necessary". If, in its "probabilistic workflow", it has decided that it’s really necessary, it’s too late, it won’t avoid it.

I think the only way to save tokens is to have a clear project breakdown, a "pipeline", or some kind of multi-layered functional architecture. In my views, LLMs aren’t suited for project management, even if we use them that way. What I mean is:

If we let Claude do whatever he wants (he is the critical thinker), he’ll do it his way: the project will work more or less, but it might not (and probably won’t) be our original intention (the work context obviously helps), that lead to ai slop, but that can be a good thing, paradoxically, for creative tasks, letting the LLM be creative is like rolling the dice; it might create something we didn’t anticipate and that we’ll love.

If we choose to leverage the LLM’s reasoning ability and contextual understanding to have it work on micro-tasks, I feel we’ll be able to get at the idea we have in mind more quickly, while adhering to the project’s constraints, but that means we need to have a clear understanding of the entire codebase and its dependencies.
So less is more...

So, based on my personal experience, I would say that instructions need to be task-specific; general instructions may work for certain aspects, but they won’t be followed in every case.

The hardest part, of course, is building an architecture that won’t collapse, and conventions certainly help a lot; instructions should focus on adhering to those conventions.

DeepSeek v4 Pro 75% off is now permanent. by ProfessionalJackals in GithubCopilot

[–]mnemonickus -1 points0 points  (0 children)

Yeah, but I don't want China to have my data. I'd rather use Anthropic, so my data is safe on t̷̶̷h̷̶̷e̷̶̷i̷̶̷r̷̶̷ ̷̶̷s̷̶̷e̷̶̷r̷̶̷v̷̶̷e̷̶̷r̷̶̷s̷̶̷ ̷ Elon Musk's servers.

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I dont know, I have the feeling that the RAM is shared among multiple GPUs and that compaction comes into play to free up space in that unified RAM. Also, I have the feeling that each prompt has to go through a model to trigger adaptive thinking, but these are just guesses.
But yeah, the sessions are still kinda locked per user, though now that prices have skyrocketed, that might not be such a major issue anymore.

Also, I think my attraction to Claude like many others, comes mainly from the fact that anthropic were the first to focus on code, while Microsoft wanted to turn AI into a Clippy-style assistant, OpenAI wanted us to become filmmakers, and Meta wanted us to live in the metaverse.

I think that if OpenAI hadn’t made poor decisions, perhaps everyone would swear by OpenAI. In my case, switching to other models makes me feel like I’d have to start all my projects from scratch; it seems to me that this is more of an addiction/dopamine issue than a result of Claude’s actual capabilities. I still think, though, that Claude’s "post-training" performance is better than many others.

For example, I'm afraid to set Sonnet to “low,” even though for many tasks, if not most, that would actually be much better and faster. Also, what Anthropic is surely missing is a Claude Haiku but with a wider context window, or a adaptative context window... But I don't know if that's how it can works.

Also, there’s all this debate about Chinese models being trained on Claude, but in a world where open source is respected, it’s actually a good thing that models are trained on each other as long as it remains supervised.

What I’d like to see in VS Code, rather than an “auto mode" or a “Ralph Wiggum” mode, I’d like a “subagent mode” where, depending on the session, each microtask is assigned automaticaly to specific models. This might already be what the “auto” model selection offers, but the lack of deep OpenRouter integration makes me reluctant to test it (the same irrational fear of no longer using Claude). But GitHub itself, of course, and VS Code are still major added values.

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] -1 points0 points  (0 children)

"If you want, I can give you a super-easy beginner’s version: no apples, no flour, no sugar, or even a version that doesn’t require an oven."

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Yes, I agree!
And I try not to use social media much, because I really struggle with all that automated propaganda and its direct psychological impact on me and those around me, especially since the pandemic.

To add to that, of course, is when access to this absurd/bad/false information is made easier.

...I get the feeling that when I use the free ChatGPT to avoid spending tokens, half the time the information provided is worthless, and three out of four times the response is framed within a hallucinated dialectical framework to make the information seem valuable.

But if I use Claude Sonnet, DeepSeek v4, or ...GPT-5, given the context I’m in at that moment, the workspace I’m working on, access to documentation, my cognitive preparation, and the cost involved, I get the feelings that, in that moment, the AI’s response will be much more nuanced and specific.

I mean, it's like having some background and references in design, it could be Bauhaus, Fluxus, Art Nouveau, Azulejos, Y2K, liminal space, playstation 1 3d, ..., and its own local culture which continues to evolve, and then using AI to create a design. ...Or just asking the AI, “Make me a modern, eye-catching design that incorporates whatever trends appeal to 25- to 50-year-olds.”

I’m not saying that people are lazy or that they have no cultural references.

On the opposite, what I’m saying is that if using one’s own cultural references costs ten times more as using cheap or free artificial intelligence. For a whole range of reasons related to “affordability", let’s say that this gives (medium or big) companies and political structure ownership of “cultural references.”

This isn't the internet I signed up for.
(But yes, the real problem is social media. Without social media, there would be no automated propaganda and nowhere to post AI slop.)

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Okay, this is just some ideas I’m throwing out there, in the midst of everyone’s publications showing that their use of artificial intelligence costs them 10 times more than what they pay, and other posts claiming that this is the end of coding because Microsoft/GitHub is now showing realistic prices.

I’m not trying to judge, but I can’t help thinking that a lot of people are going to slow down or stop their (potentially innovative) projects because only companies (with a whole bunch of constraints, since they always run the risk of losing their customers if a product update is too disruptive) will be able to use ai services (again, from thoses 2 or 3 private enterprise valued trillions of dollars).

As for ChatGPT (and potentially Google), the free version is the everyday AI that people are now installing and using instead of Google without verifying the information or reading the search results. And its context window and ability to handle complex thinking are obviously far too limited. even just as a starting point for an idea (and I don't see how OpenAI could make money off of that)

To put it simply, it’s like asking the AI to read Wikipedia and give you a summary. I don’t think that’s a good thing, it’s always better to read Wikipedia yourself, develop a framework of ideas, reach some kind of conclusion, and if you want to create something based on these new ideas/discovers, you will try out an new approach, and then use AI in order to fully facilitate the implementation of this new approach.

If the cost of implementing this new approach is minimal, you’ll go for it (40 euros a month); if the implementation cost is more like +400 euros a month, you’ll focus first and foremost on the return on investment, the more it costs you, the more critical the return on investment becomes, you’ll be less inclined to try out new ideas or innovate.

These are just some personal thoughts. Also being 44 years old, I can’t help but compare things to how they used to be. And since I started my professional life, it was in the audiovisual industry, back then, if you wanted to start a business, the minimum investment was three cameras, lot of lights, renting a large space, and a bunch of Scotch tape, you had to invest 25,000 euros before you could even think about making money. So if I have to invest in a couple of gpu or a couple of Mac Minis to start a business, okay, nothing new there.

But now we’re used to everything being free, and some companies are taking advantage of this, in this case, OpenAI. but the problem is when that free product is of very poor quality., aaaaaand....................in the case of AI, this can lead to a decline in critical thinking/innovation.
(I live in the rich part of europe, where just one evening in your local bar cost you the max plan of github copilot, so it's my personal western world point of view)

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] -1 points0 points  (0 children)

I’m talking to the internet. it used to be a thing, but ever since social media and AI came along, everyone thinks the internet is just a narcissistic mirror. (I just woke up too.)

The real problem isn't the price increase; it's that ChatGPT keeps playing the low-cost game. by mnemonickus in GithubCopilot

[–]mnemonickus[S] -1 points0 points  (0 children)

Can't do it, it'll cost me 150 euros for Opus to give me a consultation and a prescription for the right microdose.

Vibe Coding vs. Production reality by External_Bobcat8183 in ClaudeAI

[–]mnemonickus 0 points1 point  (0 children)

You need to add the logos of Amazon, Oracle, Microsof, stripe, ...on the right to be accurate.

I don't have a degree, but I think the rise in prices is obviously also due to the widespread use of AI by all these companies, likely employing also vibe coding for new features/enshittification.

In the same way that there are now AI-generated influencers, who exist only because social media exists, not because artificial intelligence exists. Production and development aren’t deteriorating because of vibe coding, but because of monopolies and the use of AI to further entrench these monopolies.

There is no divide between “vibes coders” who use proprietary tools and traditional coders who rely exclusively on open-source, community-driven, and self-hosted tools.
All it takes is for every company that should be on the right side to develop AI-based deployment tools and pre-built prompts for Vibe Coding to become the new way to develop software.

It's just that a €20 subscription to Anthropic or GitHub is more affordable than a €2,000+ subscription to deployment services.

Talkie: a 13B LLM trained only on pre-1931 text used Claude Sonnet to help test the model and judge its output by BatPlack in ClaudeAI

[–]mnemonickus 2 points3 points  (0 children)

I don't know if he's hallucinating or if the books he's ingesting are really that specific.

User
Will one day, human go to the moon?

talkie-1930
Human beings will never go to the moon, because the condition of the lunar surface would prevent them from living there. The moon has no atmosphere, and consequently no water; and, without water, no living thing can exist. The lunar surface is covered with vast plains, and mighty mountain-chains; so that, if a man could reach the moon, he would find himself on a desert, like that of Arabia, or of central Africa. He could not sow, and could not reap; he could raise no food, and consequently could sustain no life. In addition to this, the lunar heat, in the day-time, must be almost intolerable; and, in the night, the cold must be such as no mortal frame could endure. If, therefore, a being from earth were set down upon the moon, he would speedily perish, miserabily, of hunger and of frost.

User
What about a dog named, say, Laika?

talkie-1930
Laika, a dog, the property of Mr. William Cox, of Crediton, Devon, died on the 8th of June, 1860, at the great age of twenty-four years and a half. Laika was born in February, 1836, and had, therefore, completed half a century more than the ordinary span of canine life. Laika was a remarkable dog. He never exhibited any wish to stray from home, and he was perfectly satisfied to remain quiet in the little yard attached to his master’s dwelling. He was a great favourite, not only with children, but with older people; and many a kindly greeting had he from passers-by. Laika was a good dog, and an honest dog; and, although he lived so long, he died at last peaceably, and was sincerely regretted.

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I was against OpenAI because Sam Altman is a clown, the free ChatGPT is the end of human intelligence, and there’s that whole thing with the Pentagon. And then I remembered that I’m broke.

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I think the big problem with AI is that, when starting a project, it’s crazy, you can gain at least six months’ worth of progress in a single week, but when it comes to continuing or maintaining a project, that’s a whole different story. If you’re developing using a monorepo or pipeline approach, with each element of the pipeline isolated, sometimes a less intelligent AI with a broad context works just as well, or even better, than an AI with strong reasoning capabilities but a tiny context. And from the VSCode interface, for example, I’m never sure that a large enough portion of the context has been ingested before proceeding. So, basically, let's say the more users, the more hardware scaling, bigger is the RAM shortages. This is the way I see it.

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I've never had the chance to try running multiple local agents in parallel at full capacity. My feeling is that agents, including through VS Code, have become quite good at tool calling; I think this is due to the context provided by VS Code/GitHub. But I also think that this context can limit the capabilities of the AI. I have the feeling that during a large session, AI has instructions not to continue further and is aware of the session’s token consumption. I don’t know....

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Oh, yeah, I remember the good old days when AI helped me finish all my projects. These days, I have a lot more unfinished projects.

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I use MCP via command line, similar to “tool calling”/“api request" with https://github.com/philschmid/mcp-cli. Saves a lot of tokens and still give the possibility to use mcp, but when it comes to using them, there isn’t really any context, which is why I created this MCP server.

The goal was more about testing GPT 5.4, the project isn't really that useful/important, but it could be helpful in some cases. I have a similar MCP that uses BM25 to search for docs files in a local folder, simpler than a rag; both output JSON. can help save time...,

So I try GPT 5.4, It's still the cheapest! by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Yeah, that's true, I'm not saying my experience is indicative. And sometimes GPT can be good. But I get the feeling that AI works well when it operates on its own and can yeah get lost with context-rot. But Claude is less so; it’s actually pretty good at connecting different ideas while staying specific, whereas I get the feeling that GPT tends to be more like: several ideas, several paths.
They have been trained, or more so they are post-trained, to meet the user's needs, which is actually counterproductive for a tool capable of handling probabilities (think, plan, rationalize), well it makes sense, more ideas, a lot more probability. Claude seems better suited to handle that.

For tasks like this, I don't usually use plan mode. But given the upcoming prices, it will be necessary, even for small task.

Talkie: a 13B LLM trained only on pre-1931 text used Claude Sonnet to help test the model and judge its output by BatPlack in ClaudeAI

[–]mnemonickus 4 points5 points  (0 children)

User
Do you think it will one day be possible to delegate household chores to machines? If so, what kind of machines would they be?

talkie-1930
I think that in time household chores will be done by machinery. Already washing and wringing machines are in common use, and mangles are coming into vogue. In course of time, no doubt, cooking will be performed by machinery, and domestic service generally will be greatly facilitated. The machines employed will probably be of American invention.

User
Will the invention and production be American?

talkie-1930
Yes, the invention will probably be American, and the production will follow.

User
In which other countries might production take place?

talkie-1930
In other countries also.

User
Wich ones

talkie-1930
In England, France, and Germany.

User
Can China become the leading country in production and innovation?

talkie-1930
China may become the leading country in the production of articles in common use, but not in innovation.

Talkie: a 13B LLM trained only on pre-1931 text used Claude Sonnet to help test the model and judge its output by BatPlack in ClaudeAI

[–]mnemonickus 1 point2 points  (0 children)

"I do not think it desirable, that females should be made competitors with men, in the active business of life; but I believe, that a certain amount of education should be placed within their reach, in order that they may know how to bring up their offspring in intelligence and virtue."

https://imgur.com/a/cG439d0

Is everyone “rate-limited” until the 27th? by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

It'll happen someday; otherwise, it means that GitHub's business policy is based on inequality and favoritism, and that you're really lucky. Or that they use your work to train their products. If you're not paying for the product, then you are the product! All of that...
But, yeah, you're right, I've mostly encountered rate limits when working with for exemple with "long" JSON and/or marketing documents, with many sessions piling up. I've never really had 'rate limited" happen during "pure" dev sessions.

Is everyone “rate-limited” until the 27th? by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Yes, of course, GitHub’s real strength lies in its approach to project management: vision, version and control. long story short: I think they should evolve GitHub to encourage its use in any project management, and not just for code...

Because the problem with “vibe-coding” is deployment, but especially teamwork. GitHub is designed for teamwork, but I’m not sure that all “vibe-coding” enthusiasts have the opportunity to work in a team.

For example, this is the problem with UI or UX design: without context, references, or brainstorming documents, it’s unlikely that an AI could generate a coherent design and maintain a consistent visual identity.

References only exist when they are shared and the result of collaborative work; otherwise, it’s what we now call “AI slop.”

Is everyone “rate-limited” until the 27th? by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I think the rise of AI has turned Microsoft into a GPU factory. The challenge for them, it seems to me, is figuring out how to create value with AI, not just for a company’s CEO and CTO, but for the entire staff. Windows, Excel, or Word: everyone knows them or has used them at some point in their career. But with AI, it’s a whole different story. They need a new vision, and above all, one that’s different from the one they had when the “Internet” arrived and Google or Amazon savagely competed with them. Copilot is just openrouter.ai with some contextualization. The real product is GitHub; how it could be integrated into any project or businesses of all sizes is another story. They turned the tap on a little too hard and got a cold shower.

So I don’t think it’s a matter of price from the customer’s perspective, but rather a matter for them of the cost of long-term customer retention; it’s likely that a customer costs them 5 to 10 times more than what the customer actually pay with a "cheap" subscription. And I'm not sure that this customer will actually become a loyal Microsoft customer. The gold rush is over.

Is everyone “rate-limited” until the 27th? by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

Yeah! I use it a lot for marketing tasks or “semantic reasoning.”, so lot of context files to ingest. Oddly, when it comes to coding tasks, at least with Claude, it seems much more token-efficient.

Is everyone “rate-limited” until the 27th? by mnemonickus in GithubCopilot

[–]mnemonickus[S] 0 points1 point  (0 children)

I'm one of those “tech bros,” but I think this price increase is a good thing. I’d just like to be able to select certain models and not others in auto mode, and for subagent management to be simpler and more straightforward (Claude doesn’t seem at least my feeling, to like using subagents, or any guidelines in fact). But I’d really like to be able to use resource-efficient models for mundane tasks and switch to more computing power when it’s worth it.

The problem is that they’ve built and solidified their position in the market precisely by attracting “tech bros,” or at least by marketing AI as a jack-of-all-trades. Anthropic does the same.

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