I wouldn't be surprised if their profit/query is at a negative for all major Ai companies, but guess what?
They have a service which understands a users question/needs 100x better than a traditional Google search does.
Once they tap into that for PPC/paid ads, their profit/query should jump into the green. In fact, there's a decent chance a lot of these models will go 100% free once that PPC pipeline is implemented and shown to be profitable.
If they start showing ads based on your prompts, and your history of "chats", it will erode the already shaky trust that users have in the bots. "Hallucinations" are one thing, but now you'll be asking yourself all the time: is that the best answer the llm can give me, or has it been trained to respond in ways favourable to its advertisers?
This is the exact same issues Facebook/YouTube/etc had with ads. In the end, ads won.
Google used to segregate ads very clearly in the beginning. Now they look almost the same as results. I've switched to DDG since then, but have the majority of users? Nope. Even if they're not using ad blockers, most people seem to not mind the ads.
With LLMs, the ads will be even more harder to tell apart from non-ads.
Sometimes a statement is just too obvious to need extensive sourcing, and this is one of those times.
Gemini doesn’t always find very much better results, but it usually does. It beggars belief to claim that it doesn’t also understand the query much better than Rankbrain et al.
There are tools like context7. Apple is also starting to put markdown files summarizing/detailing APIs for inclusion in LLM context automatically and have shipped these inside Xcode
OpenAi has 700+ million users. Sam recently said only 7% of Plus users were using thinking (o3)!!! That means 93% of their users were using nothing but 4o!
Clearly the OpenAi leadership saw these stats and understood the main initial goal of GPT5 is to introduce this auto-router, and not go all in on intelligence for the 3-7% who care to use it.
This is a genius move IMO, and will get tons of users to flood to ChatGPT over competitors. Grok, Gemini, etc are now fighting over scraps of the top 1% while OpenAi is going after the blue ocean of users.
> Sam recently said only 7% of Plus users were using thinking (o3)
Thinking or just o3, and over what timeframe? There were a lot of days where I would just rely on o4-mini and o4-mini (high) b.c. my queries weren't that complex and I wanted to save my o3 quota and get faster responses.
> That means 93% of their users were using nothing but 4o!
> the percentage of users using reasoning models each day is significantly increasing; for example, for free users we went from <1% to 7%, and for plus users from 7% to 24%.
1) Sam said only 7% of PLUS users were using thinking models. This auto-router is probably one of the biggest innovations for "normie use" ever.
2) Maybe I'm biased because I'm using GPT5-Pro for my coding, but so far it's been quite good. Normal thinking mode isn't substantially better than o3 IMO, but that's a limitation of data/search.
How does one even copy their entire codebase? Are you saying you attach all the files? Or you use some script to copy all the text to your clipboard? Or something else?
I created a script that outputs the entire codebase to a text file (also allows me to exclude files/folders/node_modules), separating and labeling each file in the program folder.
I then structure my prompts around like so:
<project_code>
```
```
</project_code>
<heroku_errors>
"
"
</heroku_errors>
<task>
"
"
</task>
I've been using this with Google Ai studio and it's worked phenomenally. 1 million tokens is A LOT of code, so I'd imagine this would work for lots n lots of project type programs.
What models have you been using? None of the popular public ones are even close to “good enough” for me. They still surprise me and have value, but are not good enough.
I'm disappointed with both parties in regards to Solar, especially considering the sheer importance for the future.
The problem I had with the Biden subsidies (as far as I'm aware) was that it didn't really foster hyper competition in the solar manufacturing industry.
Furthermore, the best solution here is to create giant solar farms in the American SouthWest, then funnel energy across the country, is it not? Energy loss is minor, even along thousands of KM in distance.
My dream here is Trump comes out with some new subsidies, focusing on manufacturing, which would drive the price down substantially and hopefully negate the need for consumer subsidies.
We need the new tech-right guys in his admin to speak up on this!
> My dream here is Trump comes out with some new subsidies, focusing on manufacturing, which would drive the price down substantially and hopefully negate the need for consumer subsidies.
Locally manufactured panels will never be substantially cheaper than imported panels + tariffs. It does not make sense economically to be substantially cheaper.
Isn't it sad we're not able to invest into most new tech companies these days, with private equity taking the lead. I don't blame the companies after seeing what going public entails, but still unfortunate.
some aspect of that picture are nanny-state sorts of laws like Accreditation which have a bias that says if you're "poor" then you're not intelligent enough or qualified enough to make your own best choices of investment.
I was happy to learn about Sweater Ventures https://www.sweaterventures.com/our-story (and their kind) which are opening up access to investments, and also helping ensure the entry price is quite low (for example I invest $50 a month with them) .
It is my hope that in the future you will be able to order a micro fraction of any company as easily as you could a starbucks.
And IMO part of that equation might be to have the state start to work against contracts which restrict your rights on your own property (essentially contracts restrict when you can sell your shares, usually not until IPO or a company organized liquidity event)
Yes. This is a real problem. It started as a result of the Enron collapse. The government over corrected in an effort to keep the public safe from fraud. On the flip side many people with pensions are invested in private markets through their pension funds.
There are actually a lot of ways to invest in smaller startups now, but the catch is that the best startups don’t want your money.
Even if all of the laws lined up just right, it’s unlikely that a company like Oxide would be interested in collecting a lot of little investors and then maintaining all of the obligations that go along with serving those investors.
They have a service which understands a users question/needs 100x better than a traditional Google search does.
Once they tap into that for PPC/paid ads, their profit/query should jump into the green. In fact, there's a decent chance a lot of these models will go 100% free once that PPC pipeline is implemented and shown to be profitable.
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