#AI Stock

[bluesaistock]

[shyducksuit]

Announcing The Stargate Project

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[tradespect]

Master the Markets: Explore AI Stock Market Trading with TradeSpect

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[jerich0two]

Heard he was part of the mob in his prime...

Bonus monochrome newspapery version!

Maybe -- just maybe! -- this is my version of Overlord Angel.

[logicbobssatin]

Satin Blouse AI Office Girls

[facts-i-just-made-up]

Magritte goes to tumblr:

[bluesaistock]

[ecrivainsolitaire]

A summary of the Chinese AI situation, for the uninitiated.

These are scores on different tests that are designed to see how accurate a Large Language Model is in different areas of knowledge. As you know, OpenAI is partners with Microsoft, so these are the scores for ChatGPT and Copilot. DeepSeek is the Chinese model that got released a week ago. The rest are open source models, which means everyone is free to use them as they please, including the average Tumblr user. You can run them from the servers of the companies that made them for a subscription, or you can download them to install locally on your own computer. However, the computer requirements so far are so high that only a few people currently have the machines at home required to run it.

Yes, this is why AI uses so much electricity. As with any technology, the early models are highly inefficient. Think how a Ford T needed a long chimney to get rid of a ton of black smoke, which was unused petrol. Over the next hundred years combustion engines have become much more efficient, but they still waste a lot of energy, which is why we need to move towards renewable electricity and sustainable battery technology. But that's a topic for another day.

As you can see from the scores, are around the same accuracy. These tests are in constant evolution as well: as soon as they start becoming obsolete, new ones are released to adjust for a more complicated benchmark. The new models are trained using different machine learning techniques, and in theory, the goal is to make them faster and more efficient so they can operate with less power, much like modern cars use way less energy and produce far less pollution than the Ford T.

However, computing power requirements kept scaling up, so you're either tied to the subscription or forced to pay for a latest gen PC, which is why NVIDIA, AMD, Intel and all the other chip companies were investing hard on much more powerful GPUs and NPUs. For now all we need to know about those is that they're expensive, use a lot of electricity, and are required to operate the bots at superhuman speed (literally, all those clickbait posts about how AI was secretly 150 Indian men in a trenchcoat were nonsense).

Because the chip companies have been working hard on making big, bulky, powerful chips with massive fans that are up to the task, their stock value was skyrocketing, and because of that, everyone started to use AI as a marketing trend. See, marketing people are not smart, and they don't understand computers. Furthermore, marketing people think you're stupid, and because of their biased frame of reference, they think you're two snores short of brain-dead. The entire point of their existence is to turn tall tales into capital. So they don't know or care about what AI is or what it's useful for. They just saw Number Go Up for the AI companies and decided "AI is a magic cow we can milk forever". Sometimes it's not even AI, they just use old software and rebrand it, much like convection ovens became air fryers.

Well, now we're up to date. So what did DepSeek release that did a 9/11 on NVIDIA stock prices and popped the AI bubble?

Oh, I would not want to be an OpenAI investor right now either. A token is basically one Unicode character (it's more complicated than that but you can google that on your own time). That cost means you could input the entire works of Stephen King for under a dollar. Yes, including electricity costs. DeepSeek has jumped from a Ford T to a Subaru in terms of pollution and water use.

The issue here is not only input cost, though; all that data needs to be available live, in the RAM; this is why you need powerful, expensive chips in order to-

Holy shit.

I'm not going to detail all the numbers but I'm going to focus on the chip required: an RTX 3090. This is a gaming GPU that came out as the top of the line, the stuff South Korean LoL players buy…

Or they did, in September 2020. We're currently two generations ahead, on the RTX 5090.

What this is telling all those people who just sold their high-end gaming rig to be able to afford a machine that can run the latest ChatGPT locally, is that the person who bought it from them can run something basically just as powerful on their old one.

Which means that all those GPUs and NPUs that are being made, and all those deals Microsoft signed to have control of the AI market, have just lost a lot of their pulling power.

Well, I mean, the ChatGPT subscription is 20 bucks a month, surely the Chinese are charging a fortune for-

Oh. So it's free for everyone and you can use it or modify it however you want, no subscription, no unpayable electric bill, no handing Microsoft all of your private data, you can just run it on a relatively inexpensive PC. You could probably even run it on a phone in a couple years.

Oh, if only China had massive phone manufacturers that have a foot in the market everywhere except the US because the president had a tantrum eight years ago.

So… yeah, China just destabilised the global economy with a torrent file.

[tradespect]

Unleashing the Power of AI in Stock Trading: A Comprehensive Look at TradeSpect

Introduction: In the ever-evolving world of stock trading, AI has emerged as a transformative force, revolutionizing how investors and traders navigate the financial markets. AI stock trading software, such as the cutting-edge platform TradeSpect, has gained prominence for its ability to analyze complex market data, predict trends, and execute trades with unparalleled efficiency. In this article, we delve into the realm of AI Stock Trading Software, drawing insights from the features and capabilities of TradeSpect.

Understanding AI in Stock Trading: AI stock trading software leverages advanced algorithms and machine learning models to process vast amounts of financial data, historical trends, and real-time market information. The goal is to make data-driven decisions, optimizing trading strategies, and ultimately maximizing returns while minimizing risks.

Key Features of TradeSpect:

Predictive Analytics: TradeSpect utilizes sophisticated predictive analytics to forecast market trends and stock price movements. By analyzing historical data and identifying patterns, the software empowers traders with valuable insights for making informed investment decisions.

Algorithmic Trading: The platform supports algorithmic trading, allowing users to automate their trading strategies. TradeSpect's algorithms execute trades based on predefined parameters, optimizing the timing and efficiency of transactions and reducing the potential for human error.

Risk Management Tools: TradeSpect places a strong emphasis on risk management, incorporating AI-driven tools to assess and mitigate potential risks associated with market volatility. These tools help traders protect their investments and maintain a balanced portfolio.

Real-time Market Monitoring: Keeping pace with the dynamic nature of financial markets, TradeSpect provides real-time market monitoring. Users can stay updated on relevant news, market trends, and events that may impact stock prices, enabling them to make informed decisions in a rapidly changing environment.

Intuitive User Interface: TradeSpect boasts an intuitive user interface that caters to both seasoned traders and newcomers to the world of stock trading. The platform's user-friendly design ensures a seamless experience, allowing users to navigate the software effortlessly and focus on strategic decision-making.

Benefits of AI Stock Trading Software:

Efficiency and Speed: AI stock trading software, exemplified by TradeSpect, operates at lightning speed, processing information and executing trades with unparalleled efficiency. This speed is a critical advantage in capitalizing on fleeting market opportunities.

Data-Driven Decision Making: With its ability to analyze extensive datasets, AI software facilitates data-driven decision-making. Traders can rely on comprehensive analyses rather than intuition, leading to more strategic and informed investment choices.

Adaptability to Market Changes: The dynamic nature of financial markets requires adaptability. AI stock trading software excels in adapting to changing market conditions, allowing traders to adjust their strategies promptly based on real-time information.

Conclusion: AI stock trading software, as exemplified by TradeSpect, is at the forefront of reshaping the financial landscape. The integration of predictive analytics, algorithmic trading, and robust risk management tools empowers traders to navigate the complexities of the stock market with confidence. As the influence of AI continues to grow in the financial sector, platforms like TradeSpect showcase the potential for a more intelligent and efficient future for stock trading.

[logicbobssatin]

Satin AI Office Girls Kissing

[kirstydreaming]

Vikky - without the FaceApp/AI nonsense!

[tracyai]

[tracylprince]

[alyssa-ai]

I'm taking advantage of this gray day to sort through my drawers and find this superb bodysuit that I love, I think Cachou approves 😁

[thedialoguedilemma]

NVIDIA has fallen out of being the world’s most valuable company after losing $600 billion dollars in market capitalization today

This is the single greatest one-day value wipeout of any company in history, more than doubling the $279 billion market cap.

This comes after China released DeepSeek, an open source free AI app set to rival OpenAI / ChatGPT.

All happening under the Trump administration as confidence in America’s standing in the world falters.

[milunessence]

dance hall