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But also not unusually so by 80s/90s television standards (TNG).

Back then writing on popular network TV shows could get away with beating the viewer over the head with a lesson/moral explicitly explained by a character with delivery about as subtle as an after school special. So a lofty Picard speech or whatever wouldn't stand out much from whatever else you'd see that night.

DS9 is still pretty earnest but you can start to see the evolution of writing/viewer taste as you get closer to the 2000s (also the freedom to follow the formulaic episodic structure of network TV a bit less rigidly).

If you scroll up to the message you originally replied to, OP's goal posts from the start were companies like Stripe (which was specifically named).

Most businesses aren't in that category, that doesn't mean they aren't able to provide useful services and make money. But your company does not seem like it meets that bar.

Expanding the group to "any money making SaaS" would be moving the goalposts for the point OP was clearly making from the beginning.

Sorry for being a bit dismissive in my previous comment but it was fairly jarring clicking your link expecting a more responsive counter example to their argument, and then left a further bad taste after realizing from your bio that it was self-promotion.

You're promoting your own company here, which as far as I can tell from the vibecoded website is Yet Another Agentic Platform of some sort. And prominently features a leaderboard with high scores for some reason.

It hardly meets the bar of a mission critical product like an ERP or payment processor layer where introducing random billing errors in customer data could be fatal to a B2B company's viability.

Half the direct quotes from Yen in the article sound exactly like AI/growth hacking posts from current day LinkedIn. Sure, you can't generalize from that alone but I'm not seeing anything unique or interesting from this sample to root for, just more of the same 2026 flavor of insufferable corporatese.

I'm often baffled by the current trend of leaders/employees at a company acting completely unprofessionally and seeing a social media reaction like "sure they're acting like an asshole for no clear reason but TBH I'd rather see that than a customer service/HR drone politely following a script!".

Mostly because it's tends to be really obvious a company/individual is still deliberately cultivating a specific image, just with a different spin/target demographic than the stereotypically sterile, formal variant of corporate PR. But so many people eat it up.

In this case, doing a garden variety Elon-wannabe persona that's currently in vogue among the SV founder set. It's a really uncreative, lazy move for leaders doing cargo cult management. And cringe-y in general to imagine working for someone who unironically resembles the most over the top satire of tech leaders on HBO's Silicon Valley.

Same way you would with missile guidance/targeting software (ITAR in the US, or equivalent in other MTCR countries). You probably wouldn't prosecute individuals running models locally but create a chilling effect by scaring any semi-upstanding citizen from openly hosting/developing models (and no US business would touch it with a 10ft pole).

Why are you sidestepping OP's clearly articulated grievance about LLM writing infiltrating every corner of the internet to bring up some personal Aaron Sorkin hobbyhorse?

Lying with statistics (well, your own guesswork not even hard figures) to say actually LLM-ese is mostly confined to TPS reports where they're not hurting anyone is in conflict with our own experiences being subjected to LLM spam/slop every day.

(Not to mention that many of the same frustrations wading through a massive volume of tediously long, low SNR LLM also apply to the workplace where the unfortunate recipient of those "TPS reports" now has to wade through all that filler to find the occasional important detail. While the sender pats themselves on the back for 10x-ing their productivity, by creating more work for their coworkers)

Recently I tried to donate to a project using their preferred crypto payment processor flow, which purported to support "Coinbase Wallet" integration. So thinking that was just like, Coinbase, I said "sure why not" thinking it'd save me the effort of copy/pasting long strings back and forth.

Turns out, Coinbase "Wallet" is a completely separate thing from Coinbase, and long story short, ultimately ended up accidentally converting some spare ETH I transfered into some kind of garbage Binance "wrapped" Litecoin. Which had zero indication/warnings in the app other than a like 4 pixel Binance logo superimposed on the 16 pixel Litecoin logo that it wasn't the real thing.

Once I gave up on this Wallet experiment I ended up needing Gemini to walk me through all the Binance "gas" nonsense to finally manage to swap into a real coin I could transfer out (like 80% of what I started with after subtracting gas fees and miscellaneous leftover change I was stuck with). And while transferring I had to avoid like a dozen alternative networks consisting of seemingly random strings and a scary red banner saying "yo don't fuck this up".

My first red flag should have been that Coinbase Wallet's Play Store name literally advertised betting on prediction apps. Second red flag was while looking for "Litecoin" in the list of coins, there were literally about 5000 different spam/meme coins with dozens of near identical clones that were all name squatting on top of each other.

As someone who came of age in the Crypto 1.0 "Bitcoin is for buying drugs" era the entire exercise was utterly baffling and somehow significantly less usable than crypto was a decade ago for actual payments. I guess for a young person looking to illegally gamble their paychecks at some unlicensed offshore prediction market it provides some utility I'm missing but man, the experience just made the post-Web 3.0 crypto scene look .... grim.

Yes, at any given time like 75% of the front page is about Yet Another AI Model/Tool/Demo/etc.

Sure, the comment threads have varying opinions with a decent share of AI skeptics/critics but also plenty of die hard AI boosters.

It's hard to imagine what an even more pro-AI version of HN would look like whenever I see the meme that "HN hates AI". Unless the hope is for a 100% pro-AI echo chamber (which would be completely detached from the broader controversy about AI among the general public).

That's the usual failure mode of any grid, aggressive load shedding will be used as a last resort to keep the frequency within tolerances.

The renewable aspect is because historically they were installed with "grid following" inverter systems instead of "grid forming" which can maintain frequency even if temporarily islanded in a partition without spinning mass generators to set frequency.

There's nothing intractable about a 100% renewable grid, the technology exists and has already been deployed in new installations.

I love how increased healthcare spending always makes it into the top line of the strongest drivers of growth and example of consumer "willingness" to keep spending.

  Less affluent Americans in particular have been squeezed by higher prices. But Wednesday’s data showed that on the whole, American consumers continued to splash out in the third quarter, with spending on healthcare, food and accommodation rising.

Those same models have already been subjected to the equivalent of probably millions of hours of RL on simulated user messages containing every possible combination of self-harm, torture, murder plots, genocide, child endangerment, CSAM, etc to test refusals.

"Model welfare" seems like an objectively absurd concept given the inherent training process needed to produce a usable instructions tuned model.

...and yet despite similar anecdotes it's still not showing up in the actual data.

It's entirely reasonable for a financial analyst to point out the gap between vibes/anecdata and financial metrics for F500 companies.

The woman in the article was in an ongoing, multi-month chat discussing her medication with ChatGPT.

I don't use it for medical stuff very often, let alone on models within the last year or so. But I have certainly experienced the "drift" that can occur (even on subjects with sensitive guardrails like medical advice) where it gradually bends towards the user's perspective and away from the inflexible canned responses from the system prompt over time.

The language in many of the quotes from ChatGPT included in the article seem like they could be miscategorized as following directives to be supportive/friendly/helpful even though it implicitly was providing (reckless) medical advice at the same time.

Or, the lower barrier to entry crowds out the committed indie devs willing to invest years of their life honing their unique artistic vision for a game that might end up being a hit on Steam (among many other failures). The perceived odds of getting some recognition or even a moderately profitable hit go from "slim but possible" to "hopeless".

Because now their competition outnumbers them 1000 to 1, the competition isn't devs or artists but anyone with a phone, who can be from any part of the world who may not even speak the same language. Many to most of these solo "devs" aren't interested in games at all, and just hoping to rack up sales, ads, hype a crypto shitcoin launch or whatever. These slop games all have flashy attention grabbing visuals, slick product pages, five minute promo videos, with the games boasting 500+ hours of gameplay... of which 99% are recycled borderline unplayable trash.

The indie market for lemons stifles indie devs who struggle to find any audience, with modest dividends going to the most deceptive, scammiest solo sellers churning out 10+ titles per day (mostly 1:1 copycats of GTA/AAA games, psuedo-porn games, gambling games, meme/news cycle one-off games, etc). Middlemen like Steam print more money than ever as purchase volume increases while the indie gaming market becomes closer to the mobile games industry today.

The vast majority of the force multiplier value from AI is captured by the handful of AAA conglomerates who follow the tech monopoly strategy of maintaining market share by constant acquisitions and collectively control the most valuable IP while constantly reducing headcount thanks to models like Genie.

But who knows. It just seems like wishful thinking whenever I hear talk about how AI will empower the little guy to take on Goliaths considering the huge amounts of capital driving AI research and products are coming from those very same giants.