Fellow software engineers aren't incentivized to destroy their company's reputation in the same way that boards of directors have proven to be time and time again.
The animation player is made by the AI and there have been many optimization passes but the AI did them so I can't help you really with that question. I'm using GPT 5.5. I initially tried Three.js but it was way too slow, so I went building shaders directly. I figured the fastest paths will need to be tailored to the use-cases and a framework is good for humans at the expense of performance but since now we can just write the specific code directly that's better.
Fake verticals created for no other purpose than to pad out a page in the IPO prospectus. That is literally their purpose, there is no technical or business content here worth discussing, but HackerNews is so pilled it can't help but discuss. Maybe after the 100th "Claude for dog walkers" announcement we'll catch on.
You're so conditioned against socialism that the only life plans you will consider are gambling your life's savings on a speculative asset, or working until you die. Not every country is constrained to these 2 options. Many of them would love for you to visit.
You'll note that I specified that China has no real broad pension system that can fund people in retirement and instead leans on the cultural norm of children taking care of their parents in old age. The (socialist) one child policy made this mathematically infeasible as 2 working adults now need to care for a child and 4 parents. The solution that Chinese people cleverly devised was to invest often at the behest of local party officials in property development, which aided in rural Chinese moving to cities, another CCP socialist policy. Then XI does a giant rug pull and attacks peoples' property/retirement savings.
Maybe look at the actual facts before trying to tun this into some dumb socialism vs not socialism argument.
Did you read the article? Ctrl+F "experts". It's right there in paragraph 6, complete with a citation from a NBER study (directly contradicting your anecdotal evidence). You don't agree with the author's position, that's fine. But this is a weird lie.
Maybe someone with more time at hands could look up what Google said with respect to ads and what happened later.
This is one of the rare instances where it's very easy to predict the future: the prompt auction market will look similar to the existing online ad market, financial firms will pay for prompt streams for sentiment analysis, companies and interest groups will pay to have their products or agenda included favorably in the training data for future open weights models... any way you can think of that LLMs can be monetized, you will see it happen. And fast. The financial pressure is way too high for there to be too long of a honeymoon phase like we had with web 2.0
And how much trust are you going to have with your model results that they haven't been transformed and adjusted by advertising priorities?
search engine results do this all the time, reordering output by advertiser input. its a pretty small jump from that to rewriting output from models, and even better where its all a black box.
oh absolutely, its been a progression though and search order rewriting was implemented very early on as part of ad integration. its common in search relevancy/tuning circles
your example with google isn't necessarily applicable now because they've shown a roadmap that can be done and squeezed down tightly between the "hey, we're good folks" to "you're our captive cattle, we can do whatever the fuck we want. there's nothing you can do, since all our competitors will be doing the exact same thing shortly"
In what way would that be securities fraud? I guess you could get nailed under Section 17(a), but really hard to make a case they're defrauding investors by representing they were going to make ads worse performing than they ended up making them.
In order for it to be securities fraud it has to be tied to a securities transaction and the misstatement has to be material to a reasonable investor's decision.
I think they said the ad vendors wouldn't but the matching algorithm would still be aware of it. Which IMO is the bare requirement to have ads be anything but magazine style ads.
I mean, the ad doesn’t necessarily have to be made aware of the exact prompt context, just that the ad itself was relevant. You can basically have the ads prequalified for areas and serve them when relevant. Now that does show the user is talking about something relevant most likely, and depending on how they decide to serve them or provide referring, it may traceable to a profile/identity built for that user externally.
I’d be more concerned as to how this ends up in agent platforms using the LLMs, when you don’t have a fairly autonomous agent based system using these the entire point is that a human isn’t involved, so who are you serving ads to and where are you injecting them.
Moreover, if you are injecting them everywhere, does that survive stare for subsequent steps, meaning from the first set of results I get, does that loop back in again with the ad injected into the context. Because now, we have yet another dangerous way of injecting instructions into an already issue prone surface area.
I’m guessing they’re going to have special APIs that don’t include ads, and those are going to cost more, especially for non embedded agents (processes that already exist inside ChatGPT that kick off transparently from prompts, like asking it to work with an office document). After all the customers using agents aside from developers are mostly businesses, so it’s where the money is. The ads will exist for the poor to subsidize their use, and probably create even more barriers for agentic use like I described. Just my thoughts.
And good luck litigating against any business in this administration. Unless they explicitly tick off certain people or refuse to kiss the ring, they can get away with almost anything right now and there’s little risk of doing it or not because ticking off this admin will raise illegitimate prosecution even if you’re perfectly legal, almost the same level of if you’re not. It’s the ideal playground for doing all sorts of manipulation, just kiss the ring and you’ll be fine.
I don’t know that there were any promises anyway. But if there were, then an investor could have plausibly believed that that was a better long-term business model.
It’s early days for these LLM hosts, maybe investors could be worried about taking the really annoying business notes before users are properly addicted.
It would also be a huge security risk. But I can't think of any fundamental difference with Google queries, other than the sheer entropy of user data involved.
And I'm not a tinfoil internet anarchist, but just because Google only leaks user data in aggregated form to advertisers, doesn't mean that they don't leak their user data, it's just that they did so in a legal and responsible manner.
Maybe considering the difference in data volume and intimacy between queries and AI conversations, the privacy implications of advertising merit a difference in treatment, but I wouldn't be surprised if that is lost to a more simple 'Google did this so we can do it too' momentum.
you can use chatgpt without an account, just not all of it
and you can't make full use of Google without an account. for example, you need an account to upload to YouTube, manage your website in search, place ads, opt out of data usage. the list goes on
And you can also search on google with an account, and your queries are stored for you to see right? I'm pretty sure I can see a history of my searches.
This is a classic example highlighting the upside of local llms.
However the local llms I can run on reasonable hardware are so dumb compared to opus, and even if I shelled out five figures of hardware to run the largest/smartest open model it still will be noticeably worse.
Right now the remote models are just so much smarter and more affordable under most usage patterns.
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