What does your strawman argument about a hypothetical regression in SQLite have to do with this? What would a regression in the Windows Calculator have to do with this? What does your whataboutism prove here? Nothing.
A mistake was made. There are well worn paths for fixing the mistake. Acting like a giant fucking petulant pissbaby is not the critical path to getting things fixed and is deeply corrosive to the positive collaborative environment we’ve all spent decades building within shared, community software.
> My guess is people are tired of the "AI is the greatest thing since [cultural reference]" being forced down their throat and grasp at every straw to combat it, which is a sane response in my opinion and should be taken into account.
Let's engage in some parallelism then
This happens with literally everything in our society. Right now, every single food product seems to be infused with protein. In the past, they've had GMOs removed, MSG removed, been Fiber-infused... the list goes on and on.
We don't see people bullying and threatening grocery store clerks and managers over clear hype-cycle bullshit. Why? Because every rational person knows this is pure nonsense.
This behavior is NOT sane.
As many others have pointed out, this is just a regression that occurred during regular software development. There's nothing remarkable here that makes it AI-specific, other than that the contributions were AI-assisted. Regressions in software happen. You roll back to a stable version and make a bug report. You don't shit your diaper and sling it at the maintainer.
Acting like a giant fucking douche is NOT NORMAL BEHAVIOR.
The proportion of "really good" PMs on product engineering teams has to be less than 0.1%.
The counter to that is "the proportion of 'really good engineers' to product engineering teams has got to be in the single digits," and I would agree with that, as well.
The problem is what is incentivized to be built - most teams are working on "number go up?" revenue or engagement as a proxy to revenue "problems." Not "is this a good product that people actively enjoy using?" problems.
As a former adtech guy, as a general rule of thumb, I consider _all ads everywhere_ to be scams.
Apple using Taboola is so hysterical because of their claim to focus on user experience. Taboola ads are a chumbox of the absolute worst bullshit ads on the market. The only thing worse is the zergnet stuff.
The argument against this is that shovelware has a distinctly different distribution model now.
App stores have quality hurdles that didn’t exist in the diskette days. The types of people making low quality software now can self publish (and in fact do, often), but they get drowned out by established big dogs or the ever-shifting firehose of our social zeitgeist if you are not where they are.
Anyone who has been on Reddit this year in any software adjacent sub has seen hundreds (at minimum) of posts about “feedback on my app” or slop posts doing a god awful job of digging for market insights on pain points.
The core problem with this guy’s argument is that he’s looking in the wrong places - where a SWE would distribute their stuff, not a normie - and then drawing the wrong conclusions. And I am telling you, normies are out there, right now, upchucking some of the sloppiest of slop software you could ever imagine with wanton abandon.
I use my $20/mo plan with Claude Code pretty happily, regularly hitting the limits through the day at a good pace, with nice cool-downs in between while I wait.
I promise I’m not being snarky here - I don’t understand how people are burning through their $200/mo plan usage so quickly. Are they spamming prompts? Not using planning mode? I’ve seen a few folks running multiple instances at once… is that more common than I think?
Indeed. But keep in mind they weren't just buying the tooling - they get the team, the brand, and the positional authority as well. OpenAI could have spun up a team to build an agent code IDE, and they would have been starting on the back foot with users, would have been compared to Cursor/Windsurf...
The price tag is hefty but I figure it'll work out for them on the backside because they won't have to fight so hard to capture TAM.
I'll take a whack at this since I have some relative experience from playing at a functional exec in my last role
we used Lattice in an organization of ~150 people. We had roughly 10 leaders (exec and non-exec), responsible for various functions. The most any one leader had in their reporting tree was ~40 (one of the Eng leaders)
For Lattice, at least from what I was exposed to, the surveys ARE anonymous. They know who has and hasn't submitted a survey because everyone gets a personalized link, but that is not aggregated up into some dashboard where UUIDs are mapped back to respondents. It's something like "Bill in finance has 4 directs, and 2 of those haven't pressed submit on their unique survey." But as you can figure, that does not matter AT ALL. Anyone with a modicum of attention can figure out who wrote what when you have a reporting tree that small. You will see the responses broken out by leader, by function (say, Sales for example), and then division, whole company. The only people who had access to all the results AFAIK were the CEO, the head of IT, and HR.
In short, it's anonymity theater if your leadership has any inkling of how you communicate. I knew exactly who wrote what from my teams, and so did my leadership peers.
I love this. I hope you don't mind, but I'm going to steal it for when I am back in the saddle interviewing folks. We need much more of this and a lot less of the adversarial BS.
Yes. It works really well. You can do a WHOLE LOTTA ARB(tm)(circle R), buying the crap placements at super low CPMs and selling the performance difference to clients. This is mitigated by those clients who ONLY WANT THE BEST (but of course, sir, right this way) - but there are ways around that, too - like the MFA (made for advertising) domains of all the big-name sites you can think of that solely exist for your RTB machine to pump ads stacked on top of each other, and only visible to bots and crawlers. It doesn't help that on one side, you have folks astute with math (Data Scientists et al.) and on the other, a metric shit ton of Media Planners/Buyers who are just handed a budget and are often pretty naive about the intricacies of how it all works. But it all sort of goes back to the original point - people put on blinders. They just wanna see the metric get hit, the numbers go up. Most of the time they don't care how any of that works as long as they look good to their boss, and the industry mostly obliges.
> They have to find ways to split up the tranches of conversion probability and sell them all separately, without revealing that this is only possible by selling ad placements that are intentionally not as good as they could be.
I worked in the adtech space for almost 10 years and can confirm this is where we landed, too.
>The short story is that they didn’t want a better algorithm. They wanted an upsell feature.
This is why I got out. No one cares about getting the right ad to the right person. There's layers upon layers of hand-waving, fraud, and grift. Adtech is a true embodiment of "The Emperor's New Clothes."
Litmus, testi@, Email on Acid, InboxMonster, SendForensics, Email Preview Services…
Most if not all also support stuff like deliverability, DMARC testing, Analytics, Accessibility, as well as web-based render testing. I think rendering engine wise, Testi@ has the largest device/platform coverage. Or at least last I checked.
A mistake was made. There are well worn paths for fixing the mistake. Acting like a giant fucking petulant pissbaby is not the critical path to getting things fixed and is deeply corrosive to the positive collaborative environment we’ve all spent decades building within shared, community software.
Get the fuck over yourself.