Anon1096

No, the price that is charged in a specific impression is adjusted by the relevance to the user. If the user relevance is 0.001% a Ford ad would need to spend 100000x more dollars per impression than the same ad for Toyota with a user relevance of 100%. So in practice you might get some amounts of "high cost lower relevance" ads but not to the extent that people think. The advertising broker (as in Google for Google Search) has an active interest in showing good ads relevant ads for the user in order to not negatively impact Google Search metrics, and also maximize clickthroughs or other goal metrics for the advertiser. Poorly matched ads are antithetical to that purpose.

There is a big misconception that ads are just targeted as picking the max(advertiser spend) and it really fuels low quality discussion online.

I work in ads targeting

> Google is doing McDonalds a disservice as their advertiser by showing you the ad (and won't be doing the user any useful service either).

yes this is right and why the parent is totally off base

> That said, these algorithms are simple presumably because they work "well enough".

This is totally wrong. Ads targeting "algorithms" are some of the most complicated systems on earth. First of all, it is completely done by machine learning models now not simple algorithms, and within companies who are doing ads targeting well (ie, Google, Meta, Tiktok, and if you want to go down the list to the less competent companies then you can include X and Reddit and others) there is massive internal pressure and competition to get any edge by either improving models or other parts of the ads targeting stack. The top dogs as in Tiktok, Google Search, and Meta have been posting 10+% yoy ads revenue numbers for many years now with a much smaller increase or even flatlining user counts. It's all due to improvements in the ads stack making them more effective and more useful for advertisers (and they and the article in the post would say users as well but HN mostly doesn't subscribe to this viewpoint) driving more total ads spend and a growing economy.

28 days is 4 weeks, so you don't get fewer or more weekend days arbitrarily. Used very commonly in some industries for financial reporting and also dashboards for software engineers.

Big companies actually are paying published API rates, Anthropic and OpenAI models are desirable enough that there is very little wiggle room to negotiate. It's their way or the high way. Same with things like "safety" filters and (for Fable) mandatory data retention.

This is hardly unexpected, it's one of the ways that Jevon's paradox plays out

People on the internet really overrate google's TPU advantage. OAI and Anthropic and others have been using TPUs as well for a long time now too. And they've also hired lots and lots of talent from the rest of FAANG, hyperscale compute talent and knowledge is also well distributed through all the top AI companies at this point.

People who don't work on cloud services are usually very sloppy with their wording which I think is leading to some disconnect here. A "zone" is not really the unit of availability for most things people consider the "cloud" for hyperscalers. A zone is like 1-3 DCs and you are very vulnerable to stuff like localized power events. For that reason most services are not offered at the zonal level and if they are you get big disclaimers saying so and lower 9s of SLA.

Most things are at a regional level which is multiple zones. Your AWS us-east-1 is one such region. A lot of datacenters spread across a decently large physical area have to have an issue for a whole region to start having failures.

For GCP it seems like one power event in a DC led to a thundering herd on the rest of the region which was the actual issue here. (which is a pretty significant problem and isn't supposed to happen)

As of this comment you have 26 comments out of 206 total on this comment section, more than 10% basically all spreading FUD to try and make other people as miserable and pessimistic as you. I'm not sure what your motivations are but I'm glad we have people like Grant on the other side trying to keep a positive outlook on life and the future, and I hope all you eternal doomers who constantly try to bring others down with you find joy as well.

It's evidence of a really immature business. I previously worked at <place bring in a lot of money from people using their site> specifically doing optimizations, and we were well under 1 second to do most things, but we could measure a 10ms improvement in dollar amount revenue gain through A/B testing. With the framework in place to claim dollar credit for microoptimizations we happily had many many engineers working to improve it. The fact that Valve has nothing of the sort after years is embarrassing and untold amounts of money has been left on the table.

If you have public land do you just have people walking over the property boundary onto your parcel all the time? Especially in the more populous states like NJ some of them I'd expect that to be pretty common, interesting idea as a thing that people search out specifically for though.

Regardless, neat site. Couple things, first maybe a disclaimer on why you would want this on the home page? And on the state page itself I can't tell how bordering is different than adjacent. IMO just calling it "within 75m" would be better, and since this is for the US consider making it based on feet :p. Also, I would recommend that at least for user facing strings though you give it a little TLC and remove the really really obvious Claudisms

> official boundary maps, not listing descriptions.

> An analysis of publicly available boundary data — not a survey, and not a listing service

plus everything on the How It Works page is extremely obviously LLM.

Microsoft's Scalar will help you with a medium-large repo in pure history and file and file count size, but it won't help you with a repo with a very high merge rate. Microsoft doesn't actually have a massive monorepo anywhere near Google or Meta's size so they never came close to hitting the same problems.

Fulfillment business is very hard. Amazon has invested well into the hundreds of billions building it out, and that's supported by their economy of scale of Amazon.com. A fulfillment business for toilet paper would never pencil out profitably no matter how hard you try.

This is actually a great example of the consumer winning out due to Amazon's business. Pre-Amazon, 24 hour shipping was literally not a thing, even 2 day shipping, especially for free, was a major innovation of the site.

So for fulfillment for general goods, I do think this is something that you will never be able to compete with Amazon on as a small player profitably. However, there is plenty of competition in specific verticals, such as Instacart or Doordash for groceries specifically. And if you want to be a toilet paper producer/seller, that is possible too (just not the fulfillment part but again I'm not sure why we expect "toilet paper fulfillment" to be a valid category that needs to be a thing), for example I bought my phone case from Dbrand due to the strength of their product and marketing. As a small player you need to compete on specific verticals but that has always been the case. Amazon was originally a book seller.

Compared to the wholesale -> retail markup for most goods 50% is pretty in line with what a normal store would take as their cut, maybe slightly better.

https://markupcalculation.com/markup-by-industry?hl=en-US

Now imagine what people back in the day thought about going from assembly to C. Or C to Java. Or, forgive me for even saying it, Java to Python.

Linking to a straight LLM generated article where the first couple entries (the only ones I bothered to read) are about keystealers on users' computers doesn't help your case.

It's one part technical, one part a product decision. The technical part is that billing is not actually instant. As a most basic example, a VM reports its billing units every X period of time it is active. If there is some network blip but it's still running, then that billing data could be delayed.

The product level decision is that "shut down everything" is something the customers you want to target don't actually want. Are we including deleting RDS data? S3? Glacier storage? If so then the headline will just change from "Hobbyist got charged XXXXXX on AWS" to "Business literally had all their data deleted because a hacker took over their VM and mined bitcoin". The only people who really want this are hobbyists and it's not a market segment that's worth chasing. Easier to do the status quo of forgive afterwards then even open the can of worms of deleting all of a business's data and all their backups just because they had a 100k overrun.

This is the Dropbox comment of the AI assistant era. At least it's not quite as out of touch.

Google Search and Google Maps are utilities, not consumer apps that vie for leisure time, so I don't think they are really comparable. The next frontier for AI apps like Muse and Dots is competing with the social media giants.

We should look to see how Shorts vs IG Reels have adapted to the short form video landscape for product chops in this area. IMO IG has adapted far better to the new era, and I very often get people sending me Reels (they used to send TikToks). I very rarely see anyone send Shorts but it still happens. I expect this trend to continue and IG to extend their lead here. And Muse certainly has first mover advantage in personalized AI apps, who knows when Google will finally release one.

Absolutely ridiculous comment can't believe anyone would actually post this seriously.

You can consider the cute & fuzzy presentation of the new consumer AI agents an admission that the doom and gloom so far has been a marketing mistep. It's good that companies are trying to rectify the image of AI.

No that only applies for options in public stock, Nvidia was private in 1996.

This appears to be pretty close to the "brutalist" aesthetic mentioned in the article. Things like drop shadows on boxes are the opposite of the "fingernail" boxes and you very rarely saw them pre-AI. However I think your site looks fine and well crafted, nice work. (the article also said that this kind of design language is less grating)

Things like Voice to Text and biometric unlocks (fingerprint scanners, face ID) have worse success rates and they're used every day by billions of people.

Big systems worth their salt already do this as weighted uptime, considering request successes / total requests rather than wall clock uptime as internal SLOs. But these numbers aren't really ever published because it gives away information about your customer base.

https://cloud.google.com/blog/products/gcp/available-or-not-...

Hacker News is much easier to read when you realize that 95% of people have never worked on a "high" (maybe we could say >1B requests per day as a starting point) scale distributed service and think it's trivial to run one with more than 2 nines. You see comments all the time here mentioning that their own desktop at home is achieving more than that which belies deep misunderstanding of how systems are measured. Or that unofficial github status page repeatedly posted here that counts all github services together into one number.

Before the ad, you had no brand awareness at all of Liberty Mutual. Now, you know their name enough to call them out specifically in a Hacker News comment. Your propensity to buy has improved a lot just based on that fact, regardless of whether you consciously want to avoid them now.

Yes multiple companies in people's favorite acronyms.

Literally every single HN thread these days mentioning big companies the top comment is some cynical conspiratorial nonsense. Say Big Tech is out to get you in any way possible no matter how outlandish and people eat it up. Nothing can just happen for good or neutral reasons it's always tied to some master plan.

This is probably why they are launching now. There's no real other competitor right now in the nicely made managed openclaw space for personal use (or at least, very very early. Maybe Grokbot can be considered the lead competitor but afaik it did not gain mindshare). Instinct is supposed to come out soon and by not being associated with Meta it'd be really appealing just on that front vs this. But being first to market is a real reason to use it and chance to gain lasting market share.

The best selling point is an end-to-end purchase flow that you don't have think about at all, it does the price comparisons for you. However, if you want to use it to just get the list of top candidates and compare and go make the final decision yourself I'm sure it can do that for you too. Either way I see a future where these claw-like agents can fit into everyday use cases.