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I've been struggling with that.

I built https://gallotails.com/ because I am a cocktail enthusiast. First commit, March 6th 2019. One of the features I am proud is which cocktails you can build based on your ingredients, and I was smart, the bar ignores garnishes and can suggest cocktails you're one ingredient away. But you have to add the ingredients. And interpret the bar screen.

And here's what I did with ChatGPT a few days ago: https://chatgpt.com/share/6ab59877-4b74-83e8-8da5-966d9f3a38...

Clicked the microphone icon and rambled for a few seconds (could have just taken a picture too I guess). Nudged ChatGPT to only give me simple cocktails I can stir instead of using a mixer. Said I could buy a lime, sure. Then asked how to keep the ginger beer fresh.

There is NO WAY I can code all of that in my little gallotails.com - a single chat window has entirely replaced my site. And that's my pet little project I do it on weekends, mostly to keep my tech skills sharp. I can only imagine what the biggest cocktails website, actual companies, are going / will go through once more and more people just realize the chat tab is enough. And I am not talking about purely content, ChatGPT can do everything my site does, and more, into any direction, in an instant.

Which left me with the question, then what should my site be? Community? To be taken over by agents?

Currently munching on what sites like mine should do, and what they should be.


I agree there will always be a need for community. Human connections. Folks experiencing the tastes, smells, etc.

Eg from your share, the model output “I prefer it Scotch-heavy rather than 50/50 because otherwise it gets very sweet.”

It’s basically cribbed this from someone; it literally can’t taste.

The frontier labs are not yet able to do rlvr over mixology/meatspace. So maybe think on how to capitalize on that.


Books, writing, comments, etc on cocktails are certainly in the training set. The model doesn’t need a sensation of taste in order to understand what humans enjoy. RLVR specifically on cocktails is not needed as the general intelligence of the models increases

"I prefer" was the bit that the parent was pointing to that wasn't true. There isn't a person-to-person connection being made here. Though there is the fascamile of one.

Then maybe the need for your site is gone. That’s a good thing in the sense that the problem is solved. If your goal is “do something in the cocktail space” (which is also roughly the companies’ goal I would say), indeed you should do what the AI can’t, which I’d say is be human touch. An AI can’t give your opinion or view.

> Then maybe the need for your site is gone.

Oh yeah, and I am not mourning or anything like that. And I do want the human touch, because AI can't. But humans, at least over the internet, can send their agents, or companies can run agents and I won't know from my site if it's an actual human, or some AI fabricated interaction (can't even trust an image it uploads).

When AI first showed up a few years ago, I thought about opening an actual physical cocktail bar. Hypothesizing humans will be tired after a long day of their agents talking to other agents, they would crave for actual humans. I would ban electronics inside - no distractions. Maybe one day I will go for that...


Nice idea in theory, but in practice people are either completely swamped with work now that all the work is doing itself or they’re out of work and have zero disposable income to go to the bar.

This is not sustainable in the long term, but irrational longer than solvent yadda yadda.


I personally am more interested about personal opinions about things like cocktails rather than whatever statistically average cocktail the matrices of chatgpt come up with.

Chatgpt would shit on my great grandma's waffle recipe but it's the one I'll keep making till the day I die.


OTOH your site is a nice and simple interface that does not require me to "have a conversation" to do things.

I was saying this morning that LLMs have given Star Trek the last laugh.

My software development process feels exactly like every debugging session in the holodeck that seemed terribly unrealistic to me.

I'm in SRE so systems reasoning is something of the value. But me writing code or even configuring stuff? That's dead. It is a total waste of time - Claude can do it better, faster and it works.


Why not replace the backend of your site with the LLM? Let it do the recommendations in structured inputs and outputs so the front end isn’t a chat interface but leverages the fuzzy nature of LLM’s.

I'd guess it's because of costs. Either API costs or hardware costs. Hosting a simple webapp is very different from having an LLM backend in terms of marginal costs.

True. I don’t think it takes much of a model thankfully. Luna or something…

We can definitively punish bigger companies. The issue is the geopolitical positioning, and basically agreeing that we accept smaller companies in our country / society while another country might develop bigger companies, and in theory have more power. Maybe more actual military power.

So unless it's a worldwide agreement, really hard to make this happen.


This is a good resource https://howborisusesclaudecode.com/

My best takeaway from the site was: Every time you see Claude Code / Codex doing something you don't want, ask it to add to AGENTS.md. Specially if they churn a lot doing something, and eventually find a way. I ask it to store the way it made something work. It's a constant gardening of AGENTS.md and it has really working well.


To be fair I’ve worked on human programmed systems where similar “it should be a half point story” requests would be met with snark by the engineers and take 2 sprints.

I guess we are all PMs now.


Also likely, devs took shortcuts to deliver fast. Now to make the button blue they need to differentiate primary buttons from others.

Simple, right? But design guidelines prevent one offs, and no !important. So you create a CSS class, but you discover another element on the header declared itself as primary (the search icon or the sign in button). You talk to that team and they decided to scope what’s primary according to their component. To change the sign in button to grey now you need to talk with the growth team. Growth team wants to run an experiment but they’re backlogged, only next quarter. They say you can innersource, just need VP approval. VP says blue matches a marketing campaign that is about to go out, agency has already been hired. You can’t talk to the agency unless Legal approves.

So you leave the button gray, to revisit decision next planning cycle after you can align all stakeholders.


Just understand that every requested change results in a game of whack-a-mole.


I was going to mention OP might be rediscovering https://beads.gascity.com/


No, embargoed news is super common. Almost every single product announcement goes through that. Critics watch movies early, companies have access to LLM model improvements early, car manufacturers send production models early… it happens everywhere all the time.


It depends on what software you’re building. The npm ecosystem is huge, hosting is easy, etc. Sure C can do it but it will take longer.


The NPM ecosystem is huge, but it's also full of poorly-coded crap, rife with vulerabilites, subject to supply-chain risks, etc.

And much of its convenience comes from the fact that it has a huge set of off-the-shelf libraries for doing things that are properly part of your higher-level business logic, rather than lower-level foundation code, anyway -- those kinds of libraries are popular because they maximize developer velocity, not because they should be third-party dependencies.

The kind of stuff that makes sense to include as libraries, e.g. code dealing with foundation-level building blocks, like standard encryption algorithms, audio and video codecs, compression, etc. is exactly where the reference implementations and baseline libraries are all in C in the first place.

The point here is that, ultimately, C won't take longer if you're using an LLM. Eventually, you'll get more performant, more secure code targeting the lowest level possible, and mucking around with stuff like NPM is what will both slow you down and produce worse results.


It is until ARC-AGI-4. Maybe around 73 we will stop.


Gee, 100%. Articles basically saying genetics explain everything.


What's the methodology? Is Gemini actual gemini.google.com or mixed with google.com and Android searches?


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