API

SeniorVibeAnalyst

I mean there are currently ways to monetize it, just not profitably compared to the costs to build and operate it. But there are loads of people and businesses paying for subscriptions and API tokens. To make money off the normies they’ll need to figure out ads and significantly reduce inference costs.

maqifrnswa

I kind of do it myself - I'm an engineer and do stuff like this for my day job. It's just grabbing historical data (optionsalpha, or I just use IBKR's API and custom Python scripts I wrote). Then either generate distributions directionally or fit to some model. GARCH-like model is common for time series data. You can look up GARCH and finance (as a starting point, there are more complete models) and you'll find a ton of examples online. Options are more complicated, you'll also need options and underlying prices, and probably use a pricing model (in like merton jump diffusion, personally. Easier to use than Heston)

Xarephly

I created [stockchu](https://stockchu.com) solely for the purpose of researching and analzying reliable and up-to-date data. ChatGPT gets the data wrong so often and it’s just so annoying verifying each time. The app is using Polygon.io API under the hood, so it always responds with more accurate information. There’s also brokerage connection capabilities as well. Would genuinely love feedback to make the product even better. It’s still kind of an MVP at the moment

SyndieSoc

The problem for Open AI is that the users are the ones reaping the productivity benefits of AI. AI can help raise the productivity of a company. It has its use cases, and can help save money. But its not helping OpenAI save money, its helping users save money. OpenAI relies on API and user subscriptions to generate money outside of investments. If the costs of operation and expansion are higher than the money raked in via subscriptions, they will perform at a loss. If OpenAI was a monopoly, then they could maybe justify super-high subscription prices for their services. But they are not. Push the cost too high and you get undercut by competitors. Not to mention open source models are getting better and better. It will reach a point where they are good enough to perform most of what people need AI for. If customers can choose between a free model that is good enough and a better model with a high cost, many will choose the free one. AI is better at enhancing other peoples productivity, and work better as an business enhancement tool. AI companies are middle mean reaping subscriptions profits that add friction to the system.

Thrownupawayandback

anyone have their own auto trading code set up for trading options? what brokerage's API do you use?

tao_of_emptiness

No offense, but it doesn’t sound like you l know much about AI, or just simply SAAS. “partner with OpenAI for their LLM”—this is nothing more than a company paying for API calls (technically by the amount of tokens read/generated), something any company or individual can do. Perhaps they get preferable rates for the amount of usage, but this is not some strategic advantage. Yes, lots of companies stand to gain from integrating AI into their services, but this company is not special because of that. Their financials are shit.

RTRC

It's not. This is one of the few things you can't auto moderate because its not like there's a free access API to what stock tickers are over 500 mil in market cap lol

naked_space_chimp

They’re not buying your diary; it just means they monetize your attention and behavior. On paid tiers, most don’t train on or sell your specific chats; instead your usage shows what to build, which workflows to support, and what to cache so costs drop. The money comes from subscriptions, per-API charges, enterprise seats, copilots and integrations, plus marketplace fees and platform lock-in when your whole team adopts. The models are already trained and will behave as per instructions. Your interaction exposes bugs and issues on their end. The flywheel is simple: you return, they learn what actually matters, ops get cheaper, reliability climbs, they upsell, you stay, and your engagement becomes the proof that convinces the next customer.

niskydaved

Subscriptions, enterprise plans, API licensing, etc

naked_space_chimp

Bro, here's a simple version... We are the product, my guy. These AI companies aren’t betting on banner ads or click and earn shit; they’re betting on us paying monthly, our bosses paying enterprise rates, our companies paying enterprise rate, apps paying per API call, and everyone sticking around long enough for costs to drop as the tech gets faster and moves partly on to your phone.

Big-Safe-2459

Just my take - the AI bubble is still not bulging to the breaking point yet, IMO. Our org is learning into AI hard and paying the monthly fees to get better access. If fees doubled, we’d hang in because on balance it’s cheaper than people. If anything, we’re ditching traditional tools like Adobe (after more than 20 years of using the suite) and other apps and having AI manage tasks. The Creative Cloud savings cover our Plus subscription for both OpenAI and Anthropic monthly (including the OoenAI API costs we incur). We’re learning just how powerful AI is when it comes to assisting us with nearly everything we do - from data entry to image creation to creative work. It’s also starting to help us in the sales cycle with follow ups. Bye bye sales force? I’m bullish on AI and the supporting infrastructure plays, but fearful for everything else. The end will come, but not from an AI collapse methinks.

Brawmethius

Lmao tether prints and USDT flowing back in to lever up. You just saw live leverage models from binance data was nonsense, their API grossly under reporting. The tether to binance to fucking you in the ass is full circle. I was once a raging cryptobull many moons ago, then I saw what has been done to my baby, it was supposed to offer financial independence it got gobbled up into the usualy corrupt BS but supercharged.

TheReaIIronMan

Can the Gemini API launch backtests? Or allow you to deploy a strategy?

TheReaIIronMan

I have no idea what you’re talking about. [The predecessor is open source](https://github.com/austin-starks/NextTrade). Yes, free for a limited time. I’m paying $60-$100 per day on API costs. I’m not a giant venture backed startup; I’m literally just a guy

erstwhile_estado

IBKR is a joke. I opened an acct with them to test a bot trading strat because their API is supposedly good for that. Turns out I needed to have at least 100k in an account just to be able to pay for a live data subscription. Also, their servers suck and disconnect you randomly so there's was no point anyway.

greytoc

Sorry - my bad - I assumed you wanted an alerting function - vs a portfolio summary notification. It is kinda possible in Thinkorswim but you have to implement it yourself either with Thinkscript or using the API. I have never used the TDA summary functions because they were not useful to me - I have a custom tool that I use instead for my personal use-case. If you want daily portfolio summary - look here after you login - [https://client.schwab.com/service/SchwabAlerts/PortfolioAlerts.aspx](https://client.schwab.com/service/SchwabAlerts/PortfolioAlerts.aspx) Perhaps the "My Closing Summary" report will fit your needs.

CarnageAsada-

I work in IT Operations I use AI daily from Apple integration with CGPT to CGPT desktop Mac/windows and local LLM on my tower. I make tools that integrate with OpenAI API to create data drive dashboards etc etc.

Formal-Database-78

Hey everyone 👋 After a quick research I found that POET’s mystery $75M investor has to be disclosed in a K-8 filing within 4 business days. So… I built a quick automation that checks the SEC API every minute and instantly notifies subscribers when the info drops. Hope someone finds it useful — good luck to everyone! 🚀 👉 [https://poet.biocatalyst.app/](https://poet.biocatalyst.app/) Cheers!

Formal-Database-78

Hey everyone 👋 After a quick research I found that POET’s mystery $75M investor has to be disclosed in a K-8 filing within 4 business days. So… I built a quick automation that checks the SEC API every minute and instantly notifies subscribers when the info drops. Hope someone finds it useful — good luck to everyone! 🚀 👉 [https://poet.biocatalyst.app/](https://poet.biocatalyst.app/) Cheers!

Rich_Housing971

They should have just gone the Unitree route- make a robot with all the balancing and controls there, giving it mobility, and just sell the hardware, and then license the API to 3rd party companies trying to fuck around and give it autonomy.

Millionaire_

The API segment of the business is overlooked by the average retail investor. This is where the big margins will come. There's an argument to be made with open-source models disrupting the API revenue stream in the future, but we're realistically 2ish years away from even seeing if that'll be a possibility or not.

UshijimaX

Look, I get it - you had a rough decade with UiPath and watched implementations crash and burn. That’s valid frustration. But let me push back a bit here: “It was NEVER easy to use” Bro, compared to what? Writing actual code from scratch? Building custom Python scripts with Selenium? Sure, UiPath isn’t Lego-level simple, but it’s WAY more accessible than traditional development. The whole point is lowering the barrier to entry - not eliminating all technical knowledge requirements. “Windows update changes a pixel and everything breaks” This is literally every screen automation tool ever made. Blue Prism? Same issue. Automation Anywhere? Yep. Power Automate Desktop? Also breaks. This isn’t a UiPath problem - it’s a selector-based automation problem. That’s why modern RPA emphasizes API integrations, computer vision, and AI-based element detection over rigid pixel coordinates. “Clients didn’t have developers on staff” Okay but… that’s a CLIENT problem, not a UiPath problem. You’re basically saying “we sold a technical solution to non-technical people and they couldn’t maintain it.” Like, yeah? That’s true for literally ANY enterprise software. Would you blame Salesforce if a company bought it but didn’t train anyone to use it? Now let’s talk about your competitors: - Blue Prism: Even MORE enterprise-focused and complex than UiPath. If you think UiPath needs technical skills, BP is like “hold my beer” - Automation Anywhere: Had serious cloud migration issues and their licensing model has been a nightmare for years - Power Automate: Decent for basic stuff, but limited compared to UiPath’s capabilities. Great for Microsoft-heavy environments though The AI/Agentic Angle: Here’s where you might actually have a point with your puts. The pivot to “agentic AI” is either genius or desperate - jury’s still out. But RPA isn’t dead, it’s evolving. The companies that survive will be the ones that integrate AI to handle those “pixel changes” you hate. Position or ban though - what strikes and expiry you holding? 👀​​​​​​​​​​​​​​​​

lenissius14

I mean, it's ok to say that there is a bubble; that doesn't means that AI or <insert hot new technology or field> is an scam just in the same way how now Internet is now universally used despited being called a lot of names when the dot com bubble happened. Most likely the AI bubble will blow and the companies that didn't offer anything of value on the table (like 95% of these GPT wrappers that in the end just do API calls to GPT) will absolutely die; big players that have a business around a lot of things including AI but not exclusively to it, will most likely survive and the companies that their business revolves around AI, some of them will survive or will be acquired by bigger players once they get devaluated...but that doesn't means that AI will disappear, actually I think the truly bigger breakthrough of AI will come after the bubble blows. My guess is that, after the bubble blows, AI will come back as a top topic again once it finds it's way through Robotics (I think this market is by far the biggest next candidate), Automation on many businesses and also when VR/AR becomes a widely accepted thing (most likely glasses or something that we don't know yet) just in the same way how Smartphones became the primary interface for every communication related device

sharpetwo

I actually work for 5 years on a floor but that's okay. I then worked in an AI start up doing a lot of stuff in the financial services - [here](https://www.youtube.com/watch?v=wmB1qSvwmOk) is me talking about GAN before it was even cool to say GPT. Im fairly public and have nothing to hide. And then, instead of going back to a shop, I rebuild everything myself considering that API let's you do anything you want if you know what you are doing. Unlike you my man, I have real professional credentials. So, shall we talk about that third party again and look at our respective results? :)

SlopDev

Yeah I've heard the margins on the API service are juicy

Momoware

Except even today providers can charge a premium. Anthropic API is really expensive but enterprises happily pay for it. The cost is easily passed off to customers in business use cases.

Pathogenesls

1. “AI spend in the next 12 months = $1 trillion” Reality check: The total global AI-related investment, including infrastructure (chips, data centers), software, and corporate adoption, will likely approach $200-400 billion, depending on how you count. The $1 trillion figure appears to conflate capital expenditure (especially from hyperscalers like Microsoft, Google, Amazon, Meta) with all AI-adjacent investment and speculation, including R&D and venture funding. Microsoft, Google, Amazon, and Meta together are projected to spend $200–250 billion in total capex in 2025, not all of which is AI-specific. Add Nvidia, AI chip fabs, startups, and corporate adoption, and you might stretch to $400-500 billion globally. $1 trillion is an overstatement unless you count all cloud infrastructure as “AI spend,” which would be misleading. 2. “Estimated AI revenue and expense savings – $50 billion” That’s not far off as a near-term estimate, though it’s murky. Generative AI direct revenue (subscriptions, API usage, enterprise tools, etc.) in 2024-2025 is roughly $30-60 billion, depending on the forecast. Productivity gains or cost savings are harder to quantify, but measurable benefits at scale are still limited. Most use cases are in pilot or early rollout stages. 3. “How long can AI continue to lose $950 billion each year?” The framing is wrong. It assumes: All AI investment is a recurring annual loss, not a capital expenditure meant to yield long-term returns. That revenue should immediately match investment, which is rarely true in a transformative tech buildout phase. Analogy: Early cloud computing (2006–2013) also ran at massive negative cash flow before becoming a trillion-dollar-plus profit engine. The same happened with electrification, telecom, and the internet backbone.

greytoc

My needs for a broker are probably very different than yours. So what I do may not necessarily make sense for you. Currently - the bulk of my trading is at Schwab but I also have Fidelity and MerrilEdge accounts. But I've also considered Tradestation, Ibkr, Alpaca, and Etrade in the past 2 years. In the past 35 years - I've had traded at lots of different brokers depending on my needs at the time. And sometimes I come back to the same broker if their services fit my needs. Schwab (legacy TDA) works for me because their margin risk and house rules in their PM account work well for me. They also have competitive fees. There are some other services like a retail API which I use.

ben_kWh

I'm exiting. I sold a few covered calls through the last down and run up. Mostly, I just don't think people like the product. AI, automation, and integrations are all growing gangbusters and this company is doing 10% YOY growth. Doesn't make me trust they know what they're doing. Follow their subreddit. Sounds like a bunch of kids learning how to send auto emails, while some of em talk about how much better power automate is. Power automate ... a Microsoft product. The one with a pretty flow chart workflow that is somehow harder to use than just raw coding an API workflow from scratch. That shit is garbage. If UI Path can't beat that, then they don't understand their market.

lolabunnie

Most SaaS companies in the automation space are doing / planning to do this. It’s just building the API call to the hosted models and UI.

MOONTOANDROMEDA

I have these tulips called (Shit company doing shit things). AI. Each one can buy you a house. Each one will 5x in price after more tulips are created from OpenAI API. No lowball offers I know what I have.

iambatman18x

As a software engineer with 8 years in the industry, I approve this message. I've spent the last few weeks digging into UiPath to see what all the hype is about. Here's my honest take: their older automation products have real limitations. A lot of companies are still using these legacy systems not because they're great, but because migrating away would be expensive and messy, classic technical debt situation. But their new agentic AI platform? That's a different story. It actually solves a lot of these problems. When I first heard about it, my immediate reaction as a dev was: "Why do I need UiPath to build an agent? i can just build an agent on my own? Fair question. And honestly, you *could*. But here's the thing UiPath has spent years building out all the boring infrastructure stuff. They've got pre-built connectors for everything: email systems, Google Drive, SAP, Salesforce, you name it. Plus intelligent document processing, API integrations, and orchestration tools that actually work at enterprise scale. If I wanted to build a custom agent using Microsoft's framework, I'd need to build all of those integrations myself. We're talking weeks or months of development time just to get to the starting line. With UiPath, that entire foundation is already there. I can focus on solving the actual business problem instead of reinventing the wheel. Don't get me wrong, Microsoft's Agent Framework is solid, especially if you're already deep in their ecosystem. But for enterprise automation where you need to connect to dozens of different systems? UiPath's head start matters. A lot.

ikeepeatingandeating

“It’s like poetry, they rhyme” The code generation that’s come to take SWE jobs is just the next layer of programming abstraction. vacuum tubes > punch cards > binary > assembly > procedural languages with direct memory access > object oriented languages with broad abstractions > begging Claude to please not try to rewrite our string manager API again, it’s fine, I swear

DisjointedHuntsville

Token gen is growing absurdly over the API. Government customers haven’t even begun large scale spending yet. They will be a double digit percentage of global compute consumption with their present roadmap. That by itself puts them in the multiple trillion dollar club. At some point, many entities will not be able to compete with the frontier ai model development requirements and today the number of entities are single digit. People not in deep tech are really blind to what’s happening with programmatic intelligence. You have scaled resolution of high intensity specialist tasks from materials science to bio technology. Chip development and programming is completely different to what it was three years ago. If you think the world is going back to the way things were, you’re dreaming.

Recent_Register_2952

do you use it only for trading? I was interested in an account simply for the market data and API features. Are they good? shit? you dont know?

restless_discontent

There isn't a gap when the input is exactly the same - try it via API with OpenAI on a model that supports temperature.

SarriPleaseHurry

Do you genuinely think OpenAIs makes most of its revenue from random laymans paying $20 a month? There's companies who have built their entire backbone off off the API OpenAIs provides that tens of not hundreds of thousands a month. Your $20 is the same as thinking CVS gets most of its revenue from the random chapstick you buy every other week.

skilliard7

> See, “annualized” is just more proof of a bubble. We have no idea the LTV of an OpenAI subscriber. Taking your best month and multiplying by 12 is totally unreasonable. It isn't unreasonable when they are growing their revenue every month. They are adding more and more utility to their plans all the time with newer and better models, new features, etc. Additionally, API revenue are one of the biggest growth opportunities, as more applications that use the OpenAI API enter production and scale.

GeoLogic23

Idk exactly, but they seemed to be pushing mostly CBD for years. I definitely don't think this company would care about the MSO model, as they deal with seniors living in facilities who aren't getting up and going to a dispensary. They are talking about THC in their therapies as of more recent times. But idk if this would just be a matter of providing low dose hemp gummies to their seniors in addition to their CBD. Or if they are looking at stronger THC therapies. Like maybe there is discussion to have Dronabinol use expanded, or something similar like that. A company I follow called Trait Biosciences has been working on CBD for many years, with funding by BAT and Gotham Green Partners. They are actually transforming the molecules to be water soluble instead of doing a nano-emulsion where you just reduce the molecule size and coat them with a water-soluble compound (my current understanding). They talk about how this has pharma applications. I hadn't heard anything from them for a couple years, until they sprung up earlier this year discussing pharma R&D deals with cannabinoids. They are working with a Texas based pharma company. So there is definitely some sort of cannabinoid pharma activity happening in the background. And happening in Texas, the land of hemp. Right after Trait Biosciences hooked up with Benuvia, Benuvia said they signed a commercial agreement with a leading US Pharma company. This is surrounding Dronabinol API. [Home - Trait Biosciences](https://traitbio.com/) [Benuvia Operations Signs Research & Development and Manufacturing Agreement with Trait Biosciences to Advance Next-Generation Cannabinoid-Based Products](https://www.prnewswire.com/news-releases/benuvia-operations-signs-research--development-and-manufacturing-agreement-with-trait-biosciences-to-advance-next-generation-cannabinoid-based-products-302446676.html) [Benuvia Operations Signs Commercial Supply Agreement with Leading U.S. Pharmaceutical Company for Dronabinol API](https://www.prnewswire.com/news-releases/benuvia-operations-signs-commercial-supply-agreement-with-leading-us-pharmaceutical-company-for-dronabinol-api-302453302.html)

beaverbait

Bots farm karma and accounts get sold or used to sway the masses. Social media and bots are one of the best ways to move a public opinion quickly. The operation 8s to have a ton of bots spamming, earning karma, then making them look more human later. Eventually, they are used to sway public opinion on products, social issues, etc. The reason Reddit makes money is the monetized API changes.

dont_downvote_SPECIL

Reddit’s content was showing up less often inside ChatGPT answers lately. That’s not bad news... it’s actually good news. Google changed how search works. Reddit used to appear a lot when AI models like ChatGPT “scraped” Google search results for training data. But Google reduced how many search results are shown through its API. So now, Reddit’s content is harder to get for free. Instead of scraping Reddit through Google, companies like OpenAI and Google themselves will need to pay Reddit for access to its posts and comments. https://www.reddit.com/r/stocks/s/rP2sSRZcW9

CharacterSpecific81

ASTS rises or sinks on near-term proofs: FCC clearance, paid AT&T/Vodafone traffic, and next launch hitting dates. Using Spire and Bloomberg, I run quick API checks via DreamFactory to track spectrum filings and partner field tests. No paid usage soon means fade; real traffic prints means shorts still in trouble.

1-Dollar-Doge-Coins

> Google, Meta, and Nvidia have a high valuation because of the API bubble. I'd love to learn more about this API bubble.

Toasted_FlapJacks

I've been here since 2013 and this sentiment has been parroted for years most recently when Reddit shutdown free access to it's API and declared that they will leave for alternatives, which exist but they didn't catch on.

phdoanx

Great analysis, I'm long Apr 400C, seeing some asymmetry here. However, the hysteria and oversimplification in this thread scares me. Your bear case sounds unintentionally vague as if you haven't really considered it through... Consider: \- X (Twitter) data is actually very valuable (not dogshit like people on Reddit would like to believe), and people post long form content with great insights on there. They are not idiots who set their price at $5k/month for nothing. It does open up opportunities for Reddit to charge more for their API though (I believe their data should be priced way higher). \- Trump sneezes and Reddit's stock price tanks. They need to execute flawlessly, any kind of uncertainty (including macro) would mess them up.

bigtimehater1969

Yeah let me tell you real slow so you understand chief. Google, Meta, and Nvidia have a high valuation because of the API bubble. Even if it wasn't a bubble, the profits they make aren't gonna trickle down to you, me, or the average person. And you can't eat Nvidia H200s.

Lanky-Durian1142

DigBick-96: They could, but that breaks the search product. If you search “best laptop 2025” and the API appends “reddit” to every query, you’re no longer getting natural search results - you’re forcing Reddit into results where it might not organically rank. The value was Reddit appearing naturally in positions 11-100 for relevant queries, not being artificially injected into every search. Plus, Google’s algorithm doesn’t guarantee Reddit appears in top 10 just because you add “reddit” to the query. The thesis isn’t that Reddit becomes inaccessible. It’s that the free, efficient pathway got killed, making direct API deals more attractive vs. expensive workarounds.​​​​​​​​​​​​​​​​

Impressive_Review

We do have critical shortages, but most people may not be aware because neither the FDA or the CDC publishes it. It can be accessed on the American Society of Health-System Pharmacists website. I’m only aware because of my work which includes current drug shortages, FDA post-marketing studies, and drug discontinuations In 2020 the FDA was directed by President Trump to create a list of essential medicines to ensure a reliable domestic supply and reduce dependence on foreign manufacturers. In 2021 a report ordered by President Biden found we have an over-reliance on foreign drugs which emphasized strategies for promoting local production and research. In August 2025 US reserves were directed to retain 6 month supplies of ingredients for designated critical drugs as only 9% of API manufacturing facilities are in the U.S., compared to 22% in China and 44% in India. As for tax breaks, the government offers or has proposed tax credits to reduce the corporate tax rate on income from domestic drug manufacturing and to offset the cost of constructing new U.S.-based facilities..

ItsyBitsySPYderman

Some of you are trading RSI on the 30second timeframe and it shows. Youre arent faster than a bot. Build you an API bot if you gonna try that shit.

eist5579

I’m on a team right now setting up our AI workflow to rebuild some legacy software. We’ve been running experiments all September. The gains are minimal/non, and as of now, my perspective is that we would have gotten a lot more done had we just worked for the month. Sure, I can ask Claude to help me find something and make some suggestions, but it surely isn’t writing much code for us right now. At least in our complex API driven as angular app.

greytoc

>is it possible to do conditional orders based on the SMA I don't use Thinkscript very often but it should work. Bear in mind that it's not hands-off trading. The way that it would work is to create conditional orders which are based on Thinkscript custom indicators. But I've only ever played around with the concept so I do not have any real experience with it. You can try looking in r/thinkorswim or [usethinkscript.com](http://usethinkscript.com) Re: API - it depends on what language you typically program in. Python is popular because there's a well-supported open-source community for Schwab's API - [https://schwab-py.readthedocs.io/en/latest/](https://schwab-py.readthedocs.io/en/latest/) \- this is what I use. You get access to Schwab API here - [https://developer.schwab.com/](https://developer.schwab.com/) Note that Schwab support to retail traders is email only.

r_estes

Is it possible to do conditional orders based on the SMA? I can only see how to do it with asset price limits. I honestly haven't heard of the API idea. I'll have to try to look into that, any suggestions?

greytoc

It is theoratically possible to do it with Schwab. But would require that you either use Thinkscript with conditional orders and triggers in Thinkorswim or implement your own bot using the Schwab API.

chickenandcow890

It’ll likely be realization that the electricity cost of powering AI engines does not outweigh the benefit that buyers of AI products get. Sellers of AI products will start to raise prices, squeezing the already low value that buyers observe. Buyers will rely less on AI as the return isn’t being observed. The entire industry stagnates or shrinks and as it does, companies powering AI engines will go under. Twilio had a huge market too but its product has largely been commoditized. Communications API market is capped by willingness to pay.

Quickdropzz

Dot-com crashed because the infrastructure didn’t exist. Companies selling dreams. Users and capital were not there either. Metrics were faked. Was a demand and product problem. AI has cloud computing, tens of billions in chips, working API’s, and products advancing and making money today. AI is improving at an exponential rate and will continue to do so. Just see Tesla FSD for example. AI is a supply problem. Demand is real, workloads scaling daily. AI is self perpetuating. It will keep getting better and better. Dotcom was speculation on potential, AI is already here.

JShelbyJ

Yeah, god forbid they have to spend 15m wiring up API calls to reddit.

Vivid-Avocado9342

I’m not talking about for people, it’s both great and free for them. I’m talking specifically about ai companies like Gemini and copilot paying reddit enough in API fees to make them worth 50 billion dollars or more. I personally don’t think it’s going to play out that way, but I could obviously be completely wrong.

stiveooo

API chatgpt pays reddit

KSauceDesk

IF the world wakes up to this I thought the API changes were the nail in the coffin, but we really are cucks here

elim92

The rumours only say that recent ChatGPT answers (during inference) used fewer Reddit citations during web search than before. It doesn't mean anything about training data nor OpenAI stopping to use Reddit altogether. What this could mean is either 1) Fewer ChatGPT queries are relying on web search 2) OpenAI has (artificially) reduced the amount of citations coming from Reddit and pushed them to other sources 1) seems to be way more likely than 2), since otherwise we would've seen a spike up in other source websites in the referenced analysis. For 1) there are rumours that OpenAI has reduced the amount of web search ChatGPT performs as a cost-saving measure for the free tier of the model. So overall it doesn't play a role in the training data licensing deals, it only means that Reddit might get less revenue from inference-time API calls.

Lynorisa

Old data prior to Reddit rolling out the anti-scraping measures (API limits, API pricing structure, account requirement for viewing, blocking internet archive, etc) was already scraped by every tech company. Recall how ChatGPT knew the usernames of specific redditors that frequently posted on useless subreddits (well, useless in terms of AI training) like r/counting. It shows how they didn't even bother curate what subs they scraped. They just went for everything first because it basically costs them nothing to scrape and store data. Even individuals and small orgs have published datasets on HuggingFace, albeit focused on specific subreddits or types of comments. The only benefit of data licensing deals with Reddit is to just get NEW data, specifically subreddits that have up-to-date advice/discussion on the latest tech, programming, laws, etc. Being able to access older data is just a convience in case they missed something. If Reddit has already been taking measures to protect their data, they've likely already been tagging bot / ai-generated content in the backend, so I doubt it's a bot problem. **I think you're right in it being very likely a negotiation issue**, where Reddit needs these data deals slightly more than the LLM companies need their data. LLM companies historically have no qualms with ignoring terms of service, pirating, and scraping content, even if there are more hurdles now. The advantage Reddit has is that no matter criticisms of 'misinformation' or 'low-quality' data, it is still the best source for natural data, simply by being the largest active forum site. Every tech company has tried to fill the 'quality data drought' with synthetic training data, and while there were gains in specific benchmarks, it has inadvertently compounded and exacerbated adverse behaviours, manifesting into what we observe as LLM-isms and GPT-isms.

TimeTravelingChris

I see the opposite. I see Google winning this. They already have the next best AI product but they have a HUGE advantage in that they make money as a company, and can afford for AI to be a loss leader. Open AI can't. Also, I highly suspect we are going to see Chat GPT growth start to flatten or actually retract. The competition is getting better and their product is getting worse. I've been a GPT user since the beginning but 4 started to get dumbed down, and the 5 rollout has been a mess. My tin foil hat theory is that Open AI is doing everything they can to reduce the compute on the backend. So basically the model still scores fine on the tests, but the real world usage experience sucks unless you are using the API for coding (but honestly, I've found other AIs to be a lot better). Also, back to Google, YouTube is going to become a giant advantage for AI training. Think about everything that is out there and what you could train an AI to do with it?

SoloOutdoor

How is this any different than ci/cd on any other platform? I imagine it won't be long till you can call on AI directly from within github or devops from any provider that offers a task. Hell maybe you already can, I haven't tried. Seriously, you could just call the API of any given system currently and utilize the results. "Its all computer"

m0nk_3y_gw

Describe it to claude.ai and ask it to code it for your broker's API. then run the code and don't look at the charts all day.

_thad_castle_

Lol is using their API called a partnership now

skilliard7

1. Not everyone will want to use AI for shopping. Having a front end is very valuable for people that prefer to navigate through products visually rather than type what they want. 2. Setting up a database of inventory and items to connect to OpenAI's API will take work. The whole point of using Shopify is you don't need to hire developers to sell stuff online. 3. Shopify handles payments I believe which is a value add. 4. If it was this easy, Google Shopping/Google Pay could've monopolized Ecommerce. Because like OpenAI, Google has the infrastructure to show you what you are looking for. But clearly, people still see value in having a proper storefront.

Hacking_the_Gibson

> $SHOP rolling out agentic shopping on ChatGPT. It's not agentic fucking anything, it's an API. LOL, Google dumped $80B or whatever in market cap on the news that OpenAI built a Shopify plugin.

No-Natural-5884

Hi! Does anyone know anything about selling an api scalping script? So basically I set up a script that: * has extremely fast execution time *Tradier API connection and web socket streaming *logging and automated log cleaning *a dashboard with its own url *in its own webserver so constantly running It is made to be used for scalpers/swing traders, who’d like to buy/short and then close using whatever indicators they prefer. I made it for me but I just suck and trading and I don’t want to learn, though I did enjoy making this bot. Can anyone help? Trying to make some money back that I lost haha ☠️ 

crazybitcoinlunatic

Is there an API to see the TSLA overnight quotes?

BallIndependent3042

yea some parts you can. You can code custom calculators and automations for scanning any watchlist of stocks for triggers. You can create journaling templates and premade decision trees and trade prompts that make sure you stick to your system. If you are skillful enough, you can connect API with your broker to trade with algorithms. Sky's the limit man...

Narrow_Chance7639

That is the biggest risk that no one seems to want to talk about. The news on DeepSeek's cost-efficiency is pretty wild. I saw something that said it can be ~200x less expensive than GPT-4 Turbo's API costs while offering comparable performance in things like coding and math. If a cheaper, more efficient model can get you 90% of the way there, it completely changes the entire financial math on these trillion-dollar buildouts.

Top-Equivalent-5816

early infra builds a network effect (customers, contracts, API lock-in) that justifies rolling upgrades. That’s the bet anyway.

sha1dy

oh come on! im a software engineer and I used uipath, and giving that the foundation of uipath, which is giving API to cleck UI elements, is 40 years old if we are talking GUI or 20 years old if we are talking webui and even an intern can write such API in a week (not to mention dozens of open source solution) - uipath is just running on fumes and institutional investors who dont know how to dump this. its dead. dont be an exit liquidity.

Powerful_Fudge_5999

ahh got it. the latency from signal to broker API call is usually in the hundreds of ms range (sub-second). Most of the “delay” isn’t language overhead but broker side + market conditions. went with Python (FastAPI + ib_insync/SDKs) for orchestration since most broker/data APIs are Python-first, and Next.js/TS for the dashboards. the design choice was more about ecosystem + dev speed than shaving microseconds, we’re not aiming for HFT, just reliable, real-time execution.

taxfreedev

I'm getting my SPY data from Tastytrade. Because I have an account there, they give me access to their API. I think most brokers give you API access when you open an account with them. And yes it's free.

NotChristina

Both Excel and Google Sheets have stock quote functionalities at minimum. I imagine # shares held would be a manual pull at worst or some kind of coded scraper at best. AFAIK can’t really pull your financial info via API lol. But even if OP won’t share, I’d love to hear this level of detail - maybe there’s functionalities I’m not aware of.

Big_Conclusion7133

Love that perspective. Thanks! Yes I think the PhD is pretty versatile especially combined with licensure as a mental health counselor. I’m trying to get into product management as we speak by leveraging the platforms I created (including AI API capabilities). But I’m not sure how much it will be valued at this point. The PhD is expected 2027 EOY.

skilliard7

It really will come down to how well these AI investments pan out. OpenAI has incredibly useful tools and has grown its revenue substantially, tripling their revenue each year. They will definitely keep growing, but what is unclear is how fast of a growth rate they can maintain: - ChatGPT subscriptions can continue to grow, but there are only so many businesses/consumers that can pay for subscriptions. The landscape is also very competitive(Gemini, Grok, Anthropic, etc), so their pricing power is limited. - API is a huge growth engine, in my opinion. The more websites/applications that implement AI into their product, the more recurring revenue there is from AI. - On the consumer side, ads are a tremendous market. Google does nearly $400 Billion a year in revenue. If OpenAI implements ads in the free plan of ChatGPT, it would greatly improve their margins and potentially unlock hundreds of billions in revenue.

Powerful_Fudge_5999

Hey! this isn’t an off-the-shelf platform, we’ve been building Enton ourselves from the ground up. Right now it’s running on paper trading accounts with live market data, but the goal is exactly what you’re asking: connect to brokers like IBKR through their API so it can execute strategies directly. IBKR is on our integration roadmap (after Coinbase + equities)

le_Derpinder

Could you link me an API or data download?

Lynorisa

Old data prior to Reddit rolling out the anti-scraping measures (API limits, API pricing structure, account requirement for viewing, blocking internet archive, etc) was already scraped by every tech company. Recall how ChatGPT knew usernames of specific redditors that frequently posted on useless subreddits (in terms of AI training) like r/counting. It shows how they didn't even bother curate what subs they scraped. They just went for everything first because it basically costs them nothing to scrape and store data. Even individuals and small orgs have published datasets on huggingface, albeit focused on specific subreddits or types of comments. The real reason why tech companies are making data licensing deals with Reddit is to just get NEW data, likely for subreddits that remain up to date and provide help on tech, programming, laws, etc. Being able to access older data is just a convience in case they missed something. I am sure Reddit is already tagging content that is likely to be AI generated, probably since they introduced the anti-scraping measures.

-s5y-

I know this post is old, but I made an API with a free tier to track politician stock trades. politiciantradetracker.us The usefulness of the data really depends on the specific trade. There is definitely a lot of junk where it would be hard for someone to invest along side with. Politicians seem to looooovvveee investing money in their real estate developing landlord friends. However, I've seen some pretty insane trades such as Marjorie Taylor Greene buying AMAT:US which sells equipment for semi conductor manufacturing. After she bought it, there was a 20% bull run the month after. She disclosed in within 12 days so people could have totally copied it. It was pretty recently, too. And it goes without saying that there is massive government backing for a company such as the aforementioned. I also put all of the trades on my website, and im in the process of developing an app. All free of course.

entropybender

For real-time stock tracking and sentiment analysis, I recommend checking out Alpha Vantage API or Polygon.io. They offer robust data streams and webhooks. For AI-assisted analysis, Alpaca's platform has decent machine learning tools. If you want something more turnkey, TradingView has some solid alert systems. Avoid relying solely on ChatGPT - it's not designed for precise financial tracking.

auradragon1

If OpenAI goes public tomorrow, it will be bought up like crazy. Look at all the other garbage companies going public recently and going 2-3x on day one. I'd bet my house on OpenAI being able to get a $1 trillion valuation on day one. >but given everyone has their own version Eh... the total AI market can grow faster than OpenAI losing shares. >and not much concrete revenue streams coming out of the LLMs Um, they make money from ChatGPT, enterprise subscriptions, government contracts, API for other AI apps, and even deals with foreign countries. Their revenue is growing leaps and bounds this year.

movdqa

I like the way you think. There's a school in Texas that doesn't have any teachers. They have mentors, coaches and their lessons are generated by AI. I've been told that they do a good job by a trader with a wife that works in public education. Our son uses AI for work for writing code, scanning for errors and research. His entire team works in this way. His group also uses it for medical diagnostics. There's a ton of opportunity but most people are looking at hardware and the software guys are providing cloud services and API but it seems like we're pretty early in this game. The Chinese companies have not had the runup that the US companies have had which is why I've been looking there. ORCL is also a potential candidate though it's hard to buy with the recent runup.

fork_yuu

https://imgur.com/a/cwgSbjr it looks like they mass created group chats, the person doing it seems to have gotten banned now I can't even leave the group chat lmao They probably let them go nuts on the group chat creation API before the person / token got banned

BigOlAngryGranny

Contracts and agreements in 2025 Burke Products strategic defense partnership (July 2025): Datavault AI entered a strategic defense partnership with global defense contractor Burke Products. The deal involves using Datavault AI's technology for enhanced national defense and aerospace technologies. Expansion of VerifyU platform (August 2025): The partnership with Burke Products resulted in the expansion of Datavault AI's VerifyU platform. This expanded platform uses an exclusive government contract with Burke to instantly authenticate service records and credentials and combat stolen valor. Equity distribution agreement (July 2025): The company entered into an equity distribution agreement with Maxim Group LLC to issue and sell up to $50 million in common stock. This was part of a larger plan to increase liquidity. Securities purchase agreement (August 2025): Datavault AI signed a purchase agreement with institutional investors for senior secured convertible notes. This transaction was part of a registered direct offering with an aggregate principal amount of $6,666,666. Stock purchase agreement amendment (August 2025): The company amended its stock purchase agreement with API Media Innovations Inc., modifying the terms to potentially accelerate the acquisition process by removing certain termination provisions. Intellectual property sale (ongoing): Turner Global Media, LLC is in the process of selling and assigning intellectual property related to inaudible audio technology to Datavault AI.

BigOlAngryGranny

Contracts and agreements in 2025 for DVLT Burke Products strategic defense partnership (July 2025): Datavault AI entered a strategic defense partnership with global defense contractor Burke Products. The deal involves using Datavault AI's technology for enhanced national defense and aerospace technologies. Expansion of VerifyU platform (August 2025): The partnership with Burke Products resulted in the expansion of Datavault AI's VerifyU platform. This expanded platform uses an exclusive government contract with Burke to instantly authenticate service records and credentials and combat stolen valor. Equity distribution agreement (July 2025): The company entered into an equity distribution agreement with Maxim Group LLC to issue and sell up to $50 million in common stock. This was part of a larger plan to increase liquidity. Securities purchase agreement (August 2025): Datavault AI signed a purchase agreement with institutional investors for senior secured convertible notes. This transaction was part of a registered direct offering with an aggregate principal amount of $6,666,666. Stock purchase agreement amendment (August 2025): The company amended its stock purchase agreement with API Media Innovations Inc., modifying the terms to potentially accelerate the acquisition process by removing certain termination provisions. Intellectual property sale (ongoing): Turner Global Media, LLC is in the process of selling and assigning intellectual property related to inaudible audio technology to Datavault AI.

BigOlAngryGranny

Contracts and agreements in 2025 Burke Products strategic defense partnership (July 2025): Datavault AI entered a strategic defense partnership with global defense contractor Burke Products. (US military contract) The deal involves using Datavault AI's technology for enhanced national defense and aerospace technologies. Expansion of VerifyU platform (August 2025): The partnership with Burke Products resulted in the expansion of Datavault AI's VerifyU platform. This expanded platform uses an exclusive government contract with Burke to instantly authenticate service records and credentials and combat stolen valor. Equity distribution agreement (July 2025): The company entered into an equity distribution agreement with Maxim Group LLC to issue and sell up to $50 million in common stock. This was part of a larger plan to increase liquidity. Securities purchase agreement (August 2025): Datavault AI signed a purchase agreement with institutional investors for senior secured convertible notes. This transaction was part of a registered direct offering with an aggregate principal amount of $6,666,666. Stock purchase agreement amendment (August 2025): The company amended its stock purchase agreement with API Media Innovations Inc., modifying the terms to potentially accelerate the acquisition process by removing certain termination provisions. Intellectual property sale (ongoing): Turner Global Media, LLC is in the process of selling and assigning intellectual property related to inaudible audio technology to Datavault AI.

BigOlAngryGranny

Contracts and agreements in 2025 Burke Products strategic defense partnership (July 2025): Datavault AI entered a strategic defense partnership with global defense contractor Burke Products. The deal involves using Datavault AI's technology for enhanced national defense and aerospace technologies. Expansion of VerifyU platform (August 2025): The partnership with Burke Products resulted in the expansion of Datavault AI's VerifyU platform. This expanded platform uses an exclusive government contract with Burke to instantly authenticate service records and credentials and combat stolen valor. Equity distribution agreement (July 2025): The company entered into an equity distribution agreement with Maxim Group LLC to issue and sell up to $50 million in common stock. This was part of a larger plan to increase liquidity. Securities purchase agreement (August 2025): Datavault AI signed a purchase agreement with institutional investors for senior secured convertible notes. This transaction was part of a registered direct offering with an aggregate principal amount of $6,666,666. Stock purchase agreement amendment (August 2025): The company amended its stock purchase agreement with API Media Innovations Inc., modifying the terms to potentially accelerate the acquisition process by removing certain termination provisions. Intellectual property sale (ongoing): Turner Global Media, LLC is in the process of selling and assigning intellectual property related to inaudible audio technology to Datavault AI. They are just starting there is much more to come

fingrar

Is API no longer a bottle neck?

fingrar

What makes you say pills are easier to make? They use the same bioprocess prior to formulation into injectable or oral. On top of this, oral requires more API per dose.

greytoc

I can't speak for E\*Trade. But I did take a look at Schwab and I don't see NAV related data available in either the API or Thinkorswim. You can somewhat derive the premium/discount in real time of some ETFs by using the indicative NAV if it's available. Schwab does provide indicative NAV data for some ETFs. But afaik - it's not available for CEFs like GOF. As for tracking it elsewhere - try tools like [etf.com](http://etf.com) and [etfdb.com](http://etfdb.com) \- they may have the tools you seek.

OddAnalysis2207

Anyone notices Yahoo Finance price data API is screwed up?

Due-Sea4841

# YOU want to make BIG BUCKS?.......Put it on DVLT before a run to $1, 2, 3 # [https://finance.yahoo.com/quote/DVLT/](https://finance.yahoo.com/quote/DVLT/) **Datavault AI Inc. (DVLT) - My Penny Pick for A Run to $3 - $5.........!!!** **Disclosure: I have 7,500 shares and adding.** I have a good feeling about Datavault and their future prospects. The company is showing increasing revenues of 467% YOY, and recently booked a $2.5M licensing deal with a company called Nyiax as shown in the story in the link below: **Datavault AI Q2 2025 Recognized Revenue of $1.7M, Reflecting 467% Year-Over-Year Growth and Booked a $2.5M Licensing Deal with Nyiax** [https://finance.yahoo.com/news/datavault-ai-q2-2025-recognized-113700754.html](https://finance.yahoo.com/news/datavault-ai-q2-2025-recognized-113700754.html) Here's a snippet from that article: *Establishing Annual Recurring Revenue (ARR) from Patented AI Agentic Platforms and Technology Licensing, Along with Pending Closure of API Media Acquisition, Set to Contribute to Record-Breaking Revenue Generation and Market Momentum in 2025* *Management targeting annual cost-efficiency measures, yielding total savings exceeding $4 million by 2026 while optimizing for continued growth* Additionally the company received a $3.2M investment from an affiliate of the CEO, acquiring 10M shares of DVLT common stock, injecting liquidity into the company: **Datavault AI Announces Entity Affiliated with CEO Acquires 10 Million Shares of DVLT Common Stock** [https://finance.yahoo.com/news/datavault-ai-announces-entity-affiliated-103500397.html](https://finance.yahoo.com/news/datavault-ai-announces-entity-affiliated-103500397.html) 1. Maxim Group Upgrade To Strong Buy \~ $3.00 Price Target 2. Ascendiant Capital Markets Maintains Buy Rating \~ $11.00 Price Target # [https://finance.yahoo.com/quote/DVLT/](https://finance.yahoo.com/quote/DVLT/) Write Up: [https://www.reddit.com/r/10xPennyStocks/comments/1nigwst/datavault\_ai\_inc\_dvlt\_may\_penny\_pick\_for\_a\_run\_to/?utm\_source=share&utm\_medium=web3x&utm\_name=web3xcss&utm\_term=1&utm\_content=share\_button](https://www.reddit.com/r/10xPennyStocks/comments/1nigwst/datavault_ai_inc_dvlt_may_penny_pick_for_a_run_to/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button) Follow Up: [https://www.reddit.com/r/10xPennyStocks/comments/1nivlts/datavault\_ai\_inc\_dvlt\_up\_33\_today\_75\_ah\_a\_massive/?utm\_source=share&utm\_medium=web3x&utm\_name=web3xcss&utm\_term=1&utm\_content=share\_button](https://www.reddit.com/r/10xPennyStocks/comments/1nivlts/datavault_ai_inc_dvlt_up_33_today_75_ah_a_massive/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)

Aggravating-Fig2692

$CJMB Revival Health JV (May 2025): Strategic partnership for integrated supply chain in wellness and longevity products, sourcing APIs from South Korea to support onshore manufacturing and importation, unlocking new revenue in the booming health sector. India Subsidiary and Pune Warehouse (June 2025): New facility to secure API imports and tissue samples from India, bridging global supply to U.S. onshoring efforts, aligning with reshoring trends for pharmaceuticals. Trump EO/ASPR Alignment (Aug 2025): Company blog highlights role in API stockpiling for critical meds under the EO, leveraging CEO Wayne Williams' Strategic National Stockpile experience for likely federal contracts and funding. City/State Government Contracts: Extended Chicago deal (July 2025) now $9.1M through 2026 for emergency stockpiling; multi-year pacts with Texas DSHS and Oregon Health Authority, plus support for measles outbreaks, tapping billions in resilience spending. Food & Beverage Expansion: Entering high-end perishables like gourmet samples and beverage kits with sustainable VIP shippers and Sentry monitoring, capitalizing on 15% annual sector growth for e-comm and B2B trials. Potential UPS Collaboration: Tech integration eyed for UPS Premium Platinum beta in advanced cold chain, matching reusables with UPS's healthcare investments, potentially scaling via global network. Innovation and Tech Edge: Proprietary Sentry platform for real-time monitoring (21 CFR Part 11 compliant) and patented SHIP2Q sanitization for reusables, plus VAWD accreditation, positioning for FDA-aligned pharma handling and sustainability Management own 71% of shares locked until 2026 feb. 14 institutions holding 16%. The float right now is 500-600k for us retail. Market cap 22m. Any of thoose catalysts show $ and it will eclipse the m cap. Research yourself the ceo. He was second to be called after president of United states when 9/11 happened to handle the emegency logistics.

Aggravating-Fig2692

CJMB is a small Texas logistics firm in the cold chain space, where the market's growing at about 13-15% CAGR from $300-400B today to over $1T by the 2030s. Their CEO, Wayne Williams, brings serious government cred as the former Associate Director of Logistics for the Strategic National Stockpile, helping with post-9/11 expansions and still advising federal programs. Insiders own around 70% of the company, showing they're deeply invested in its success. For API onshoring, they've launched an India subsidiary with a Pune warehouse to import critical ingredients and tissue samples, bridging to U.S. manufacturing while keeping everything compliant. The Revival Health JV taps into that by handling wellness products sourced from South Korea APIs, opening new revenue in the longevity boom. Their proprietary Sentry platform (advanced real-time monitoring) and sustainable reusable shippers (with SHIP2Q sanitization) give them an edge in eco-friendly tech. Plus, food's a whole new growth area—expanding into premium packaging for gourmet samples and perishables, riding that 15% annual sector surge. With catalysts like gov contracts and this setup, it's worth checking out. UPS premier platinum is also a collaboration with callan. There is a email from UPS that confirms it yet no official PR yet. This company is 20m mcap right now...

Aggravating-Fig2692

600k float. 16% institution hold and 71% management own locked up until feb 2026. Primed for govermmental contracts with onshoring and stockpiling of API. $cjmb

skilliard7

> Can you provide any concrete evidence of this? If you're talking about Deepseek then it's not valid as well. They do not use "less than 1% of the compute capacity" https://www.reddit.com/r/LinusTechTips/comments/1ija6iu/deepseek_actually_cost_16_billion_usd_has_50k_gpus/ Read the source, they basically pulled the 50k GPUs figure out of nowhere, basically claiming because other companies needed to have that much GPUs to achieve the performance, therefore they must have. Another flaw is the article claims that you need to count the lifetime cost of all the GPUs, even if they are only used for a few hours. That's not how tech companies operate; you only need to pay the cloud rental costs, not the full cost of all the datacenter infrastructure. Read the actual Paper by Deepseek, they outline exactly how they saved money. You can actually replicate it yourself at a smaller scale. Researchers from Standford and University of Washington have successfully replicated what Deepseek did, training a reasoning model for under $50 using distillation. This is just one cost savings method. >And I don't get your core argument here regarding API prices? Why will they go up 500% over a decade if at the same time you're saying models are getting more efficient citing the "1% of the compute costs" thing? Wouldn't the costs and therefore the price for models keep getting lower since it requires less resources to run them? If the costs are hiked 500% over a decade, at some point, it will make sense to run their models locally on their own infra (which should be much cheaper since models are getting more effcicient leading to lower costs for computing resources) Because that's what tech companies do. Software like VMWare costs almost nothing for Broadcom to sell, but they have jacked up the price 500-1000% over a decade. AI is especially likely because it is highly unprofitable currently, only priced cheap to drive adoption. >I get the thing about tech being overvalued but your post shows a fundamental lack of understanding how the AI market/models work. I've literally built ML models myself.

bakraofwallstreet

> This is based on the flawed assumption that it's necessary to have hundreds of thousands of GPUs to train a competitive ML model. Plenty of researchers have found you can train models for much cheaper. Look at what is coming out of China, where they are forced to make due with less due to export bans. They are building models that trade blows with American products with less than 1% of the compute capacity. Can you provide any concrete evidence of this? If you're talking about Deepseek then it's not valid as well. They do not use "less than 1% of the compute capacity" https://www.reddit.com/r/LinusTechTips/comments/1ija6iu/deepseek_actually_cost_16_billion_usd_has_50k_gpus/ And I don't get your core argument here regarding API prices? Why will they go up 500% over a decade if at the same time you're saying models are getting more efficient citing the "1% of the compute costs" thing? Wouldn't the costs and therefore the price for models keep getting lower since it requires less resources to run them? If the costs are hiked 500% over a decade, at some point, it will make sense to run their models locally on their own infra (which should be much cheaper since models are getting more effcicient leading to lower costs for computing resources) I get the thing about tech being overvalued but your post shows a fundamental lack of understanding how the AI market/models work.