I run a quite large website and there are a few patterns.
The usage is extremely quick, and follows easy-to-spot patterns. We noticed a spike in bounce rate.
They never come from Google, and the bad programmed ones just crawl several pages at a time, faster than a user could do.
Then there's the crazy spikes in visits from specific countries, pretty much scraping the entire content. Often from pools of IPs. In some cases had 30% unexplained (meaning: it wasn't viral or a marketing campaign) random sustained increases in traffic.
There's also the fact they don't interact with the complicated widgets, so zero XHR requests other than analytics pings.
They also don't cause spikes in Google Analytics, so I assume it's blocked, but they show up in logs and in the internal analytics.
It's not enough to DDOS the website at all, but it's a lot of noise in statistics that we gotta learn to filter.
Quality must come from engineering. If you’re depending on a product manager to ask you that you can improve the quality of the code, you already lost.
So it requires soft skills, proper framing and ability to iterate quickly on quality-related tasks without leaving junk and multiple-versions behind.
But I completely understand push back for “doing improvements developers want to do”: A lot of developers confuse quality with familiarity or even complexity/verbosity. So business people have a reason to be reluctant.
And as an engineering manager I also had to push back several times. The thing that makes money is not the place to learn new skills, for example.
From my POV, the main thing that's really broken with interviewing right now is the filtering process, even before candidates do a take-home test.
In the last few years I was the main tech interviewer for a 300-employee fintech.
For a specific position, one recruiter got around 150 applicants, selected 5 great ones, who did take-home tests and mild-tech interviews. Offers were made to most.
For the same role/salary, but from another queue, a second recruiter got around 900 applicants, cherry-picked about around 70 of them. Out of those, only 40 completed the 1h take-home test. Only 20 delivered it, only 10 implemented the requirements. Of the 10, all were unable to answer even basic questions.
This was concurrently, so it wasn't "affected by AI".
I didn't changed my methods and in fact I didn't even got close to asking hardball questions to the second group.
The second recruiter didn't get their contract renewed and left.
You know, I would love a feature that lets me mark push notifications as spam, and optionally send them to Apple. The last part is important for a variety of reasons, one of which is that notifications can be end to end encrypted.
Spam filter push notifications.
Ideally enough spam reports for Uber Eat’s constant marketing abuse and they lose APNs access for the Bundle ID associated with the spam reports. For example.
You’re right of course, but Apple won’t do it - they’re happily running a two-tier system where Uber, eBay, Doordash can force spam notifications on you with impunity. All my settings for marketing are off - eBay still sends me notifications about coupons (and additionally there’s no way to actually contact them to complain, of course). Doordash won’t let me get delivery notifications without marketing notifications.
Apple could fully enforce their policies and fix this in a heartbeat, but they won’t.
Fine, but that’s was clearly not enough to stop the spam, nor it was enough to satisfy everyone.
There are some apps I can’t afford to mute or uninstall, such as phone, transportation, communication and work. I wish I could, but I currently can’t, I’m not privileged enough.
“Punishment by Apple” in this instance is somehow the only response anyone had to misbehaving companies.
Claude Opus 4.7 has a very large context compared to itself, but IME it is the worst at following instructions, and completely disregards the (small) preferences prompt, even in the first or second message, even if the messages are just a few characters long.
I’m not talking about large amounts of text, I’m talking about a couple sentences back and forth.
It disregards things like “no follow up questions”.
Haiku, for example doesn’t.
This bias is a very human thing, actually now that I think about it. You just disregarded the “even if the messages are just a few characters long”. :)
haha! yes i read too fast but i did read it and i took "message is small" to mean the message you want followed within the large context, not the entire context is just a small message.
funny though it is a case in point: language is hard. and i get to hide behind being "preoccupied" . i wonder if llms have their own sense of preoccupation hmmm.
I've had many long-running sessions and it doesn't suffer the same retardation (the act of delaying, slowing down, or hindering progress) that Opus does.
The quality stays consistent and it actually seems to follow the instructions, todos, etc. even after multiple compactions.
If compaction is throwing away crucial prompting instructions even when it's at a 1% of maximum token usage (like my example), then it's a software bug, not an LLM artifact.
A team I worked with once optimized a website, and cut about 400k of cruft, down to under 200k total.
I did shit that was career-damaging, such as deciding not using heavy libraries that a platform team was pushing me to do (thus affecting their OKRs). I had to deal with designers complaining that removing JS didn't allow the special animation they wanted. The works.
We did it, and we managed to even score a few positions in Google.
Right after that, someone from Marketing added a few dozen random "pixels" to Tag Manager "because that's how Marketing is done", forcing us to adopt a cookie banner and bringing the lighthouse score to half of what it was.
Notice: The pixel was collecting data but it wasn't being used by anyone. There weren't ever any marketing campaigns involving the website.
Eventually the person was fired by the CEO for not bringing results, and we managed to remove the pixels, but by them the damage was done.
They constantly reward websites that are on a hamster-wheel of chasing the latest SEO trends, while penalizing websites that have actual information for not jumping through the same hoops.
A company I know operated TWENTY THOUSAND blogspam blogs out of a single server/IP. Google knew all along that this was happening (the companies had strategic partnerships) and never did anything about it.
The last thing they did anything significant was when, Panda in 2011?
At this point it's clear they're a monopoly and only care about websites who cater to their whims + making money. Search be damned.
The usage is extremely quick, and follows easy-to-spot patterns. We noticed a spike in bounce rate.
They never come from Google, and the bad programmed ones just crawl several pages at a time, faster than a user could do.
Then there's the crazy spikes in visits from specific countries, pretty much scraping the entire content. Often from pools of IPs. In some cases had 30% unexplained (meaning: it wasn't viral or a marketing campaign) random sustained increases in traffic.
There's also the fact they don't interact with the complicated widgets, so zero XHR requests other than analytics pings.
They also don't cause spikes in Google Analytics, so I assume it's blocked, but they show up in logs and in the internal analytics.
It's not enough to DDOS the website at all, but it's a lot of noise in statistics that we gotta learn to filter.
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