Minimum memory as in this change sets a completely different expectation.

Most of the time, these piggy backers only pull down the value of what they're riding on.

1. for other businesses and jobs though, people staying at home costs a lot. one can call it a polarizing option.

2. these kind of jobs are likely prime candidates for AI already.

And compared to last 50 years, Interest rates are still WAY lower, and unemployment is still WAY higher.

Make no mistake: Sure, the "curve" of unemployment trends downwards as interest rates drop [1]. But the "base" of unemployment is constantly increasing with each cycle [2]. There is no reality of unemployment rate going back to what it was before.

It's easy to be unaware of this pattern if one is constantly re-employed and never part of the 27-week unemployed graph, or if the point of reference is just the post-2000 or post-2008 crisis.

But 20% baseline of people who are unemployed more than 27 weeks. Let that sink in. It's pretty insane. And that baseline is only increasing.

What the OP commenter says has truth in data to it: Unemployment increase is not a linear scale of a working society. It's driven by tipping points where major changes happen (e.g. the current political changes in US).

Sources:

1. Unemployment rate last 50 years FRED graph: https://fred.stlouisfed.org/series/LNS13025703

2. Interest rate last 50 years FRED graph: https://fred.stlouisfed.org/series/DFF

There are things that humans have to unfortunately do when working as a group of people. That's why we became the alpha predator. Not because we were the strongest ape. That includes:

- Filling in timesheets, quarterly, half yearly cycles, company meetings, team meetings is not doing the thing — as a solopreneur. But not as a member of a group.

- Writing tickets, reviewing PRs is not doing the thing — as a solopreneur.

- Commuting to work and back is not doing the thing — If I'm a solopreneur this doesn't even matter.

- Answering technical questions, analyzing data, attending to bugs is not doing the thing — If I'm a solopreneur especially on a greenfield stuff, I have zero baggage.

- Writing test cases and putting up alerts is not doing the thing — if it's only me judging me, I have nothing to judge.

I'd assume the legal hourly costs for handling 10 cases probably equals the cost of pushing this cert, even if the cases can be successfully defended.

There is no point trying to actively compete in a market for guinea pigs. MS has tried going down the ladder (Chromebook competition route), up the ladder (Mac competition route), side-the-ladder (Windows for Mobile), nothing worked.

I agree with the premise of this blog: A compatibility break (which equates to a new product line) with B2C Windows will definitely happen in the next 15 years.

But I disagree it will be a Windows themed Linux. It's too huge an effort and support overhead for guinea pigs.

My prediction is: A merger of Windows engineering division (which exists as a shared division now between B2C and B2B) into the Windows Enterprise workforce, laying off of the B2C workforce, and thereby making Windows B2C a severely dumbed-down version of Windows B2B where it becomes a new line that actually breaks compatibility with games and downloaded software.

The decode speed benchmarks are misleading. WebP has been hardware accelerated since 2013 in Android and 2020 in Apple devices. Due to existing hardware capabilities, real users will _always_ experience better performance and battery life with webp.

JXL is more about future-proofing. Bit depth, Wide gamut HDR, Progressive decoding, Animation, Transparency, etc.

JXL does flat out beats AVIF (the image codec, not videos) today. AVIF also pretty much doesn't have hardware decoding in modern phones yet. It makes sense to invest NOW in JXL than on AVIF.

For what people use today - unfortunately there is no significant case to beat WebP with the existing momentum. The size vs perceptive quality tradeoffs are not significantly different. For users, things will get worse (worser decode speeds & battery life due to lack of hardware decode) before it gets better. That can take many years – because hey, more features in JXL also means translating that to hardware die space will take more time. Just the software side of things is only now picking up.

But for what we all need – it's really necessary to start the JXL journey now.

Both parents are bosses of the home.

If one parent does not co-operate to limit social media — it's unlimited by default for the kid.

These are distributed as enterprise binaries. It's common to face _at least_ one or two weird errors in production. Then you have to raise a ticket to support.

Would you like to know how it is discussing a binary-obfuscated error with Customer support? And then after few weeks being assigned to a newly joined fresher? And so on and on, where every person or layer every week says "you're doing it wrong" and you have to restart your proofing and explanation process from scratch?

Hint: After few weeks/months of this (or after 4 times of restarting your proofing process), you start questioning your sanity and life choices.

In those days, all I wished for is just "source-available", so that I can just debug myself what is going on and provide a concise bug report, instead of talking to support.

The weird part is, I'm pretty sure, on the other side, Oracle/IBM also LOST money in that same process. They had to hire an army of people. It was lose-lose on both sides.

Source-available means customers of that software can perform debugging themselves and file pretty good support tickets.

If you are an enterprise today, you would absolutely consider make it source-available to save on your own costs.

Not Youtube account.

My assumption is AGI will be redefined in a way that it's reached.

Internet did not have enough devices to reach people. At the height of 2002 only a fraction of people worldwide had an already expensive computer and an internet to go with it.

I ran a e-commerce startup from 2005-2010. Having access to demand is a thing.

Today everyone has access in their pockets. Go to small city in Africa, India and China, and observe how they use AI. See how perplexity has put AI answers in hundreds of millions of people's hands before Google in a matter of months.

Forgive me for saying — but "Based on what" for comparing accelerated adoption between 2005 and 2025 — is discarding many huge elephants in the room, starting with that small thing you're reading this in your hand with, and the invisible thing that's sending you this comment.