Because LG is a large corporation and if there is something we have learned (or had proven) in 2026 is that laws don't apply if you oligarch hard enough.

Actually LG is not just a large corporation or even a oligarch, it is one of the major south korean chaebol groups and therefore has way more power in the legal and political space.

> "TiVo still exists?"

Certainly that's my reaction that made me click on this. Hard to believe.

Never used TiVo but I ran a MythTV box for a long time, it was really awesome. But it's been ~15+ years or so haven't used it. Can't believe TiVo still exists.

> packing lots of signal into fewer words

That is not descriptive of any AI output I've ever seen.

Massive walls of words that could've been expressed in 2-3 well-written sentences, that's the norm for AI.

I wonder who might be willing to fund/pay access to every byte unencrypted.

> FFS, Biden won on the most left-leaning platform of any politician in history.

This is completely disconnected from reality. Biden would have been considered a republican in any era except the current hyper-extremist times.

> Is the Economist seriously suggesting we should roll back workers and renters rights because AI makes it too easy for the average Joe to actually get those rights?

I don't know about the Economist nor about the UK, but in the USA most programs that could benefit the poor are specifically designed to have very onerous processes to qualify and requalify with the intention of discouraging people from applying and to reduce success rate in obtaining the benefit they are on paper qualified to receive.

Same in the UK. The application process for disability benefits is many pages, and impossible for most people without expert help.

The 'undeserving poor' insanity haunts the ruling class like a decomposing vampire scarecrow.

It's kind of easy to abuse too. I think if you want benefits for life you just claim clinical depression which can't really be disproved. Welfare has exceeded income tax for a while https://fullfact.org/economy/income-tax-versus-welfare-spend... I think we may be a test case for UBI when everyone stops working.

> A twenty line for loop. It overengineers most things.

Anecdote I like to tell.. I was working on a financial planning software, intentionally purely vibe coded as an experiment.

I eventually discovered AI had implemented seven duplicate copies of tax calculation functions. All of them different. All of them wrong. All of them giving different answers for same input.

Not even the most junior of newbie junior engineers would do something this crazy. But AI was happy to do it. It will solve the immediate problem, efficiently. Even if the most efficient solution is something ridiculous like this.

I have also a weird story to tell that a human did and it is as crazy as this. It happen in 2019 so no LLMs at all.

A person that was hired as an expert in our startup spent more than one week full time working on implementing his solution to the problem we were having. I checked the code after one week to see the progress and was curious how they are implementing an already crazy sounding idea. I found that the whole week was spent re-implementing in python, python's built-in "float" function. That was it, the whole code was just that.

Our problem was related to financial services and their implementation of "float" was not even correct.

It's funny you mention this, I've worked for financial type systems where they spend considerable time removing any floats the from the code base.

I'll leave it up to the reader to figure out why this may be important.

Jesus Christ... and then?

What happened to him? What was the conclusion? Did he get paid?

of course he got paid.

that is the deal for an employee, you put in the hours, you get a check.

today, this individual is CTO- Vibecoding at Uber.

They would not do it in the span of a day or a week. But I’ve definitely seen something like that happen over a period of multiple months.

The llm just allows to generate faster.

We can feel smug about that but all it means is that we need to be clearer on our requirements and preferences up front.

State that similar functions should be in one place and there should be only one. Today there has to be compelling reason why that function is different from others. Normalise the function name based on what it does. Why are there different ones?

Then there are all the other guard rails in place.

Better guidance from mentors, reviewers, and automated project tooling helps everyone. Juniors, seniors, and engineers.

Which model though? I have similar anecdotes but all with older models. The jump in capabilities in the last 6 months has been substantial.

> The jump in capabilities in the last 6 months has been substantial.

What I would like to see is a chart graphing the model size against some objective measure of capabilities, specifically for coding.

It's easy to see gains when you're doubling the effort. What I want to know is if the extra effort is opening up more capabilities over time or fewer capabilities over time.

I have literally been hearing that, over and over and over, since '22.

And whilst it is obvious things are growing... Saying that, sounds almost entirely like the person saying it cannot objectively look at the environment. If everything has changed in the last six months, why has the industry not radically changed to match it?

Everything really did change with the Pentium II. It did with 3dfx. It did with Damerau's taken on Levenshtein. Hell, everything changed with React. The AI leap with seq2seq completely revolutionised the entire industry. But... Its kid, the LLM? Really?

For some definitions of efficiency.

> You could sell those and have enough money to pay for hosted inference for years.

From a quick search a 3090 looks to go for about 1500-2000 USD. So let's say $4K for two.

I'm spending far over $1K/month (employer-paid) on cloud AI, so if that could be anywhere near comparable we're only looking at less than a few months break-even.

Less really, because some months are more expensive. This month I'm up to ~$500 and it is only day 4 of this month.

> People really have a twisted idea about how corporate America works. Apple does not have a psyops division cooking up ever more elaborate ways to seed demand for low-end, low-margin Macs via bot armies.

This is absolutely how how corporate America works. I don't know about Apple specifically, but most in companies with a marketing departement, you can bet eating your hat that they do.