I was using 100M+ tokens per day, $250 per day or so and only paying $160 per month to GitHub.

I cancelled my GHCP sub and switched to Codex last week, so far so good but I miss Gemini 3.1 Pro for UI work.

Should we be blamed about uber destroying the taxi business, or airbnb the hotel one? Oh sorry, "disrupting".

Uber was dirt cheap, now it is the same price as taxis, and the people working for it (the "partners", not employees) have no social benefits.

Airbnb was cheap and humane, now it is THE cause for housing crises and massive residential property "investment".

The playbook of silicon valley is destructive, not disruptive.

It is by design aimed towards wealth accumulation. The ones with most money can capture the market, and make even more. It really is late stage capitalism.

And the more wealth inequality there is, the more pain, poverty and instability will be as well. AI will only exacerbate this.

If people wouldn't use their services, nothing would happen. They would just go bankrupt.

So yeah, I'd say it's entirely people's fault. Because people just wanted to use their services without thinking what they're causing.

Customers who think only about themselves and noone else.

This is the role of legislation, educated experts creating policies so that you don't have to do business analysis before making a purchase.

Would I pay 10x the price for tokens and be outcompeted by other companies, hoping that openAI will go out of business ? This is entirely unrealistic.

Even if we argue that we can't require from every human being to understand what they're doing, I'd still argue that there are more people who perfectly understand it and don't care than people who have no idea how such a business operates.

> You cannot expect every consumer to be fully educated and aware of the consequences of their purchasing power.

Huh? I cannot expect that people understand consequences of their actions? What are we, animals? Of course sometimes things aren't simple, and we cannot predict that using some service will create some longterm effects that in the end will be harmful. Some things are hard to predict.

But some things are easy to predict and my point is that this was exactly this case.

I mean, now we all know what Uber and AirBnb did, and we still use them because we don't care (generally speaking, I've used uber maybe 3 times in my life, AirBnb never).

I do NOT want to have to research the business model of companies before I buy their products or services. I would like to outsource that to the government, and spend my time actually enjoying life.

Am I supposed to be invested in every change that happens around me ?

What if I am a baker, using chatGPT to experiment with recipes and develop them. Am I supposed to read about LLMs, tokens, and the silicon valley playbook ?

No. I should not have to do any of those things.

If a company will advertise that they can take your oil and "dispose it legally", and then on their website they will openly write that they've found a loophole allowing them to store oil on the bottom of the ocean, then you say it's morally OK to use their services because it's legal?

If todays legislations are cargo and are being bought and sold based on the number of hired lobbyists, then you say it's OK to base our moral compas on that?

If you're a baker then you need to figure out how LLMs work at least to a level so that you could say that you've tried to figure it out, just as when I'm a software developer and I need to figure out how kidney stones work, because it might be in my own personal interest to know this.

Same thing is when buying stuff from Chinese vendors that ship cheap stuff to every corner of the world. You can buy their cheap products using your blind excuses, but then don't blame your local markets that for some unknown and unpredictable reason they closed operation.

We have brains for a reason, and we need to use this organ to fight our way through the complexity. This is the tax every one of us has to pay for being human and to live in a human world. If you want to have a brain, but decide not to use it, then I think you're just being lazy and entitled.

Sure, enshitification is my fault because I do not read the fine print, or research business models before I buy stuff.

I am not saying that the consumer has no ethical responsibilities, I am saying that is infeasible for the average consumer to do so.

> If you're a baker then you need to figure out how LLMs work

I completely disagree. I should not have to research about which types of grain are destructive to the farming industry before buying bread.

> If you want to have a brain, but decide not to use it, then I think you're just being lazy and entitled.

I have the right to choose where I spend my brain power on, and there are much, much more interesting and gratifying things to me than trying to analyse the behaviours of megacorps in order to have a fully educated decision in everything, in the this hyper complex and hyperconnected world we live in.

We disagree completely, no reason to keep repeating the same arguments. Have a nice day and enjoy reading the fine print in everything you buy, if it makes you feel better.

Kind of yes. You use it, you buy it. You create demand. And if there's demand, there's supply, economics 1-2-3. You vote "YES" with your wallet.

I read the fine print, and this allows me to NOT use Opus x30 only because it's available. I choose to not use AirBnb. I send a signal that this supply is not in demand.

And I guess because people like me read fine prints, you can feel better as well, because if something big will come up, you will hear internet rants about it, because we analyze and resist.

When was this ever different? And do you expect it to ever change?

Also, the premise that it took each of them a year to do the project means Bob was slacking because he probably could've done it in less than a month.

I built a full stack app in Python+typescript where AI agents process 10k+ near-real-time decisions and executions per day.

I have never done full stack development and I would not have been able to do it without GitHub Copilot, but I have worked in IT (data) for 15 years including 6 in leadership. I have built many systems and teams from scratch, set up processes to ensure accuracy and minimize mistakes, and so on.

I have learned a ton about full stack development by asking the coding agent questions about the app, bouncing ideas off of it, planning together, and so on.

So yes, you need to have an idea of what you're doing if you want to build anything bigger than a cheap one shot throwaway project that sort of works, but brings no value and nobody is actually gonna use.

This is how it is right now, but at the same time AI coding agents have come an incredibly long way since 2022! I do think they will improve but it can't exactly know what you want to build. It's making an educated guess. An approximation of what you're asking it to do. You ask the same thing twice and it will have two slightly different results (assuming it's a big one shot).

This is the fundamental reality of LLMs, sort of like having a human walking (where we were before AI), a human using a car to get to places (where we are now) and FSD (this is future, look how long this took compared to the first cars).

At the same time, it can all be done in Power Pivot and Power Query as long as you know how to use them.

More generally, you can do all of this same 'stuff' in any language. This seems like a possibly better way to do the same things tho.

Most of your programming should be DAX plus a bit of worksheet functions. Some SQL to filter your data before loading into Power Pivot.

SQL yes, of course. You run SQL queries to load data into Power Pivot through a native SQL Server driver or native drivers for your DB or worst case ODBC.

Then you do all the BI analytics in DAX and show results in pivot tables. DAX is a very fast, concise and very, very powerful language for analytics. This is the whole purpose of OLAP.

Check out this video when you have time :)

https://www.youtube.com/watch?v=0WwFJ0Zg3d8

I don't see anything objective about that article, it looks like an opinion piece.

However, in practice, there are signs as to whether you have good insulin sensitivity or not and possibly whether you over-secrete insulin. Here’s two very simple questions to ask yourself regarding your response to diet.

1. On high-carbohydrate intakes, do you find yourself getting pumped and full or sloppy and bloated? If the former, you have good insulin sensitivity; if the latter, you don’t.

2. When you eat a large carbohydrate meal, do you find that you have steady and stable energy levels or do you get an energy crash/sleep and get hungry about an hour later? If the former, you probably have normal/low levels of insulin secretion; if the latter, you probably tend to over-secrete insulin which is causing blood glucose to crash which is making you sleepy and hungry.

http://www.bodyrecomposition.com/fat-loss/insulin-sensitivit...

Some good info here:

http://gettingstronger.org/2010/10/change-your-setpoint/

If anyone here wants to try intermittent fasting, do it for the sake of convenience. I don't eat breakfast or lunch, I just eat when I get home from work or after weight training. On weekends I break my fast earlier than on weekdays.

I wouldn't say you should do it for the "benefits" if it doesn't fit your lifestyle. Right now all we know is that it's not bad for you. It does work pretty well for hunger control, which can help if your goal is weight loss.

Also, don't live by the clock. It's OK to eat outside your feeding window, you might get hungry later during the day and the next day you might get hungry earlier.

Here's a guide if you're looking for a place to start: http://www.leangains.com/2010/04/leangains-guide.html

Here's a good article if you have general questions about IF: http://www.leangains.com/2010/10/top-ten-fasting-myths-debun...

Everybody's different, I use meal time and IF in part to limit what I eat. I have to because I love everything about eating, the taste, the feeling of eating, the socialising environment, etc. . I ccan eat anything at any time, and have a bottom less stomach.

That may be a result of the reality that all things really are connected when they are stored as concepts in a network of neurons.

Visuals contain meaning, but they are not meaning.