Readit NewsIt's like when I learned that many paper recycling programs end up combining paper with regular garbage, or finding out that plastic recycling is comically ineffective in its outcomes.
I've had a set of airtags for a good few years now (shortly before Covid, I think?) and they mostly just kinda work. They don't insist upon a need to upgrade, the only part that ever goes bad is the battery -- which is a standard, user-replaceable CR2032, and while batteries going into the garbage isn't fantastic, there's really only so much you can do as long as depend on them.
Like -- this announcement is technically an upgrade, but I've never been less tempted to actually buy into it because the existing product does what it does plenty well enough for my needs.
I do think it's a bit funny to highlight anything Google does now as privacy-first, though. I can't play back Youtube embeds in Waterfox because the browser's default privacy-preserving setting doesn't send referrer information to those embeds, which Youtube now requires for embeds to work. As much as I take issue with Apple's politics over the past year, they do tend to lean towards on-device logic where possible, and their work in the homomorphic cryptography niche has been interesting to follow.
A vehicle (presumably a car, since bikes are vehicles too) gets you and your stuff from point A to point B. Bikes do that too, though at a smaller scale.
If your commute or your errands aren't excessively long or require the use of a controlled-access highway, a bike's a perfectly fine alternative. The limiting factors are seasonal road or bike path maintenance and the discipline of other road users.
Read up on the American Whig Party and President Andrew Jackson. Or, more recently, Poland. This is absolutely still in a reversible field.
> Democrats have also had very weak messaging ahead of the midterms
Utterly leaderless. In part because a lot of the party is compromised in having covered up Biden.
I'll read up on the Whig party, though if you have ledes that'd be good to start with, I'd love some links.
Maybe, maybe not. We're currently the Soviet Union in the 1970s. Gerontocratic. Sclerotic. Hyped up on a new mythology. And economically uncompetitive on several levels, with the future (then computers, now elecrification) sweeping past us to our applause.
Unlike the Soviets, however, we can see it happening and debate it. If '26 and '28 change course, the damage will still be done. But the America Empire is still young. And Trump's stupidest policies–the tariffs, fighting the Fed, Greenland and raising a Gestapo–don't have the support of most Americans. That leaves hope for reform through electoral pressure.
It will take work. But it's as incorrect to assume indefinite American hegemony as it is to preëmptively concede the game.
The Democrats have also had very weak messaging ahead of the midterms. Like, pathetically weak in the current context.
This is to say nothing of the hypothetical where the US makes moves against allies' territories before the midterms.
"Period" tends to be used in day-to-day speech when referring to the punctuation; you'll hear "full stop" if it's meant to emphasize a previous statement (though not universally), like with "you'll do the dishes, full stop."
The B777 is probably the safest, most meticulously engineered commercial wide-body aircraft ever built.
They're also getting old, and airlines retire old aircraft.
They also substantiate the idea that the United 777-200 fleet does face an uncertain future.
AI has a lot of rich people riding on its success, and this time's different for, IMO, two major reasons...
- First, the companies most invested in AI are perfusing it everywhere. Many parts of these big businesses, if not the business as a whole, is invested heavily in the success of LLM-based products. Microsoft is probably the poster child for this, where you can't use practically any of their modern products without copilot or some such being shoved in your face. OpenAI and Anthropic are both companies whose existence is predicated only by a viable LLM-based product. Nvidia and (as of their last-week's announcement) Micron are both now also heavily invested in the success of this technology, though they're also surely not the only companies in the hardware sector to be following this path to some degree.
- Second, the actual individuals behind these companies are the world's richest people, and much of their fortune comes from stock in these companies, and loans taken out against that stock.
They stand to *personally* lose a significant-even-to-them sum of money if the bottom falls out of this thing. If this weren't the case, I'm absolutely certain we wouldn't be seeing as much reporting about how an AI crash would hurt the average household. When smaller crashes happen (even those that affect more average households), it's inevitable, or it's good for the economy in the long-term (it's a correction, after all -- how could that possibly be bad?), or it's the consequence of people's personal choice to invest one way or another, but because the uber-rich were spared, it's *not really that bad.*
Ruby arose and became popular because it caters to a niche that was underserved by the competitors of the time (and while I'm no historian, I think Rails had a big role to play in Ruby's popularity).
Ruby is very ergonomic, and so is Rails. Frankly, almost 10 years after moving on from it, ActiveRecord is the yardstick by which I measure the ergonomics of all other ORMs in other languages, but what ergonomic means will vary from domain to domain.
With languages like Ruby and Python, it's very easy to get from nothing to an app that will work generally well enough almost straight away. A lightweight syntax, a lot of implicit functionality, and a flexible type system are all great for that, but in my current niche, I couldn't use it (I currently work with Rust, and the explicit control is a huge selling point, despite the much heavier syntax and more complicated semantics). That doesn't mean Rust was built without the human experience of using it in mind, though, and arguably the opposite's true.
Amazing times!
I look forward to Bartosz's articles because they're rock-solid sources of information and the visualizations are both easy-to-understand and surprisingly light on performance. It's all shockingly digestible.
Honestly, as popular science writing goes, this is art as far as I'm concerned, and art is best when it comes from a place of passion and conviction, something AI will never be able to reproduce.