segfaultex

Also bought a Lightning. I use it for plenty of truck related things that don't involve towing and it's great. I like to target shoot on family farm land, and it's awesome to toss my steel targets and equipment in the bed and offroad to the area I shoot on (there's an area pretty far in with a sharp elevation change that's created a large berm). Or going to lowes to get a ton of fertilizer/plants/gardening equipment for my spouse.

I also use it to commute, and it's even better at that (part of that is mine being the Platinum trim). Quiet, smooth, powerful, has Android Auto/CarPlay (unlike GM's products), etc.

They really are a fantastic vehicle for those who don't need to quickly tow heavy trailers 400 miles. Especially on the used market.

I think the issue was that Ford wasn't making much margin on them and they weren't moving sufficient volume to make up for that. (around 20K/yr avg)

That’s not what I’m suggesting at all.

Sounds like an argument for better hiring practices and planning.

Producing a lot of code isn’t proof of anything.

I wholeheartedly agree. Shitty companies steal art and then put out shitty products that shitty people use to spam us with slop.

The same goes for code as well.

I’ve explored Claude code/antigravity/etc, found them mostly useless, tried a more interactive approach with copilot/local models/ tried less interactive “agents”/etc. it’s largely all slop.

My coworkers who claim they’re shipping at warp speed using generative AI are almost categorically our worst developers by a mile.

Or the Apple Watch, AirPods, HomePod, iPad, etc.

They’ve made plenty of things. I liken them to the Lexus of consumer electronics; expensive for what they are, thoughtfully designed, and conservative in their approach to adopting new trends.

Why not both? And that's a good point, there are a LOT of incentives to make things arbitrarily complex in a variety of fields.

Not the original commenter, but I 100% agree that it's weird we have so many ways to describe dictionaries/hash tables/maps/etc. and lists.

Yeah, I don't want to be uncharitable, but I've noticed that a lot of stem fields make heavy use of esoteric language and syntax, and I suspect they do so as a means of gatekeeping.

I understand that some degree of formalism is required to enable the sharing of knowledge amongst people across a variety of languages, but sometimes I'll read a white paper and think "wow, this could be written a LOT more simply".

Statistics is a major culprit of this.

I'd argue that placing faith in any large institution is folly. Especially when that institution has a bunch of perverse incentives to act immorally.

Any nation with any amount of leverage has abused it.

I think we'll see a lot of companies moving away from public cloud providers in the future, but I don't think it'll be because of any privacy-related concerns.

It rarely makes economic sense to deploy workloads onto the public cloud unless you have critical uptime requirements or need massive elasticity.

I have scarcely gotten decent code. The best a model has spat out is 'fine', which is ok for menial tasks.

I have yet to see anyone show me an AI generated project that I'd be willing to put into production.

IDK, I feel like 'vibe coders' or people who heavily rely on LLM's have allowed their skills (if they ever existed) to atrophy such that they're generally not great at assessing the output from models.

I don't understand how one would come to the conclusion that this is new behavior from Apple.

The first MacBook Airs were wildly impractical and expensive.

The first iPad suffered from the same issues.

Various iterations of the iPod nano were functionally kneecapped.

I see a lot of cherrypicking and not a lot of reasoning in this essay.

This is what a lot of business leaders miss.

The benefits you might gain from LLMs is that you are able to discern good output from bad.

Once that's lost, the output of these tools becomes a complete gamble.

Yeah I think this will be a noticeable trend moving forward. We've frozen backfills in our offshore subsidiaries for the same reason; the quality is nonexistent and onshore resources spend hours every day fixing what the offshore people break.

Enterprises are increasingly looking at incorporating targeted local models into their systems vs paying for metered LLMs, I imagine this is what the commenter above is referring to.

Is your implication that MSFT will bundle the tool in their windows dist?

I wonder how that will work with the networking reqs the DoD has. Probably some direct link to a gov VPC I suppose.

You've stated a fact in such a way that the audience is intended to draw a very specific conclusion.

Trump has repeatedly asserted he wants to run for a "third term" and his base worship him.

His electorate's beliefs are whatever he tells them they are. The same is true for the Republican Party. Trump is effectively free to ignore the constitution without consequence.

Seems like hyperbole to illustrate their heuristic.

I don't disagree with their point. Difficult teammates drain the productivity of everyone around them.

IT really is wild a company that makes so many great media consumption devices hasn't even tried their hand at a TV.

C'est la vie. I'm still wanting Apple to return to routers. The Airport Extreme was a great product for a Mac-centric household.

I bought one at launch, a lot of the critiques here ring true.

Nags:

* It's absolutely too heavy. I'm really not sure how this got out of the door given how sensitive Apple is to the dimensions and tactility of their products. I'm guessing they were insistent on material choice and EyeSight over all else. I think that was the wrong bet.

* The Vision App ecosystem is a dumpster fire. I recall developers complaining about Apple's developer relations, I can't imagine this will change course any time soon.

* The displays are outrageously high quality, but the foveated rendering becomes really obvious when you use features like the Mac Virtual Display. I can't use it as an external display for more than an hour or so.

* Speaking of which; it's annoying to put on/take off. I find myself hesitating to use it for that reason. And this is mostly down to the weight.

Pros:

* The displays/speakers/airpods integration make this the single best individual media consumption device on the planet. Yeah, a bigscreen beyond or similar are great options too, but I can slap the VP on in bed (nullifying the weight problem) and toss on something from either a streaming service or my SMB share.

* And because it's portable, it's the perfect device for airplanes.

TL:DR; VP is too heavy, but there are some great things about it, and the faults don't really matter to Apple because they knew this would be a low-volume product.

They REALLY do need to shore up developer relations before launching the next face computer, but that's unlikely as they are the most prideful company I can think of.

More lazy both sides nonsense. Dems don’t put Elon in charge and let him tear the gov up.

Dems don’t tell ice to kidnap people in plain clothes

Just because corruption exists everyone doesn’t mean it exists equally. You’re pushing a lazy train of thought

Pelosi isn’t even the most prolific inside trader in the house of reps. This sort of ignorant and lazy argumentation is part of the problem.

There have always been cycles of hype and correction.

I don't see AI going any differently. Some companies will figure out where and how models should be utilized, they'll see some benefit. (IMO, the answer will be smaller local models tailored to specific domains)

Others will go bust. Same as it always was.

This is a bit reductive.

The opposition to tariffs doesn't stem from a kneejerk reaction to a certain someone wanting them. It comes from economic consensus.

Implementing targeted tariffs in a way that spurs domestic labor and secures vital industries is common practice.

What's not common practice or beneficial are the broad tariffs we're levying, which come from a place of ignorance. The implementers literally didn't think retaliation would happen, but it is/will. All these are accomplishing is increasing the cost of goods.

Shareholder primacy is legally dubious at best.

Because the idea that something is a historical representation implies accuracy.

Providing people with misleading historical context is rarely beneficial.

In the cases where it was deliberate, it’s usually clear that this is the case such as with Isaac Newton in the recent Doctor Who special.

Money.

Sounds reductive, but I think oems don’t see much demand for an architecture that implements both. So they’ll go with one or the other.

> A confident GPT hallucination is almost indistinguishable from typical management consulting material...

Sounds perfect for both Harvard and those linked to the institution.

My employer has hired McKinsey a few times, known to recruit from HYP, and their output has been subpar to say the least. My entire experience with these institutions has been fairly uniform in that regard.

I know it’s anecdotal. But it feels like there’s a lot of confirmation bias with these sorts of studies.

They need to solve their range issues before scaling production.

The BZ4X/RZ/Solterra are abysmal relative to the competition