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A shocking Chinese AI advancement called DeepSeek is sending US stocks plunging (2 Viewers)

Allan

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NVIDIA was down almost 20% earlier on this news.

DeepSeek, a one-year-old startup, revealed a stunning capability last week: It presented a ChatGPT-like AI model called R1, which has all the familiar abilities, operating at a fraction of the cost of OpenAI’s, Google’s or Meta’s popular AI models. The company said it had spent just $5.6 million on computing power for its base model, compared with the hundreds of millions or billions of dollars US companies spend on their AI technologies.


What interests me about this is that the Chinese may finally be transitioning from copying the west on innovation to leading it.
 
Don't worry Trump will save us as he leads us all to the GOLDEN AGE OF AMERICA. NVDA is down 18% +/-. China is our friend and it hates Trump.
 
Yeah.... no.
Nasdaq is not down to any degree that can be called "plummeting" it is only down 3.8%
Where was this story at the beginning of the month when the Nasdaq fell 3 times this is a couple days?
 
Yeah.... no.
Nasdaq is not down to any degree that can be called "plummeting" it is only down 3.8%
Where the **** did you get "plummeting" from?
Where was this story at the beginning of the month when the Nasdaq fell 3 times this is a couple days?
The story came out today. Why would you expect it 3 at the beginningof the month?
 
The facts on this are open to interpretation imo.

That a relatively new startup, could, in just one-year's time come up with an AI model for just a fraction of the projected costs of major US companies working on the same warrants further information.

It's being called a "stunning breakthrough" by tech investors (per the article) - and very well may be.

It doesn't necessarily mean though the death of US tech. A setback perhaps, but who knows how US tech companies will respond?

We'll just have to wait and see what comes of this news.
 
Back in the old days when memory and CPU power wasn't essentially unlimited engineers made an effort to optimize and do more with less. Maybe we've forgotten how to do that, seen like every solution today scales up with more hardware. Granted hardware is cheap, but it's expensive if you're going to buy tons of it. Maybe the Chinese are more resourceful than we are. Just saying.
 
Deepseek is available on the app store with a 4.8 rating. Most reviewers feel it outperforms the US AI apps.
 
The facts on this are open to interpretation imo.

That a relatively new startup, could, in just one-year's time come up with an AI model for just a fraction of the projected costs of major US companies working on the same warrants further information.
It's open source. If they stole code from an existing AI company, that would have been detected immediately.

It's not as good as Western LLMs yet, but it's decent, and runs on far less computing power than them.

Ironically, a key reason why they developed DS is because... the US clamped down on exporting AI chips and tech. As a result, they were forced to develop systems that use fewer resources.

So, what "further information" do you need?
 
def guess_underwear_color(name): """ Simulates guessing a person's underwear color. Args: name: The name of the person. Returns: A string representing the guessed color. """ possible_colors = ["red", "blue", "green", "black", "white", "pink", "purple", "gray", "yellow", "orange"] guessed_color = random.choice(possible_colors) return f"I'm guessing {name} is wearing {guessed_color} underwear."# Example usage:names = ["Alice", "Bob", "Charlie"]for name in names: print(guess_underwear_color(name))#A more advanced version that takes in some information about the persondef advanced_guess_underwear_color(person): """ Simulates guessing a person's underwear color based on some information. Args: person: A dictionary containing information about the person, such as: - gender: "male" or "female" - age: an integer - style: "conservative", "modern", "sporty" Returns: A string representing the guessed color. """ possible_colors = {"male": ["black", "blue", "gray", "white"], "female": ["pink", "purple", "red", "black", "white", "blue", "gray"], "young": ["bright colors", "patterns"], "old": ["muted colors", "white"], "sporty":["gray", "black", "white", "neon"]} guessed_colors = [] if "gender" in person and person["gender"] in possible_colors: guessed_colors.extend(possible_colors[person["gender"]]) if "age" in person: if person["age"] < 30: guessed_colors.extend(possible_colors["young"]) else: guessed_colors.extend(possible_colors["old"]) if "style" in person and person["style"] == "sporty": guessed_colors.extend(possible_colors["sporty"]) if not guessed_colors: all_colors = [] for color_list in possible_colors.values(): if type(color_list) == list: all_colors.extend(color_list) guessed_color = random.choice(all_colors) else: guessed_color = random.choice(guessed_colors) return f"Based on the information, I'm guessing they are wearing {guessed_color} underwear."person1 = {"gender": "female", "age": 25, "style": "sporty"}person2 = {"gender": "male", "age": 45}person3 = {}print(advanced_guess_underwear_color(person1))print(advanced_guess_underwear_color(person2))print(advanced_guess_underwear_color(person3))
 
The facts on this are open to interpretation imo.

That a relatively new startup, could, in just one-year's time come up with an AI model for just a fraction of the projected costs of major US companies working on the same warrants further information.

It's being called a "stunning breakthrough" by tech investors (per the article) - and very well may be.

It doesn't necessarily mean though the death of US tech. A setback perhaps, but who knows how US tech companies will respond?

We'll just have to wait and see what comes of this news.
China, and you know we can believe them, they never lie. Well maybe about Covide they lied a little.
 
def guess_underwear_color(name): """ Simulates guessing a person's underwear color. Args: name: The name of the person. Returns: A string representing the guessed color. """ possible_colors = ["red", "blue", "green", "black", "white", "pink", "purple", "gray", "yellow", "orange"] guessed_color = random.choice(possible_colors) return f"I'm guessing {name} is wearing {guessed_color} underwear."# Example usage:names = ["Alice", "Bob", "Charlie"]for name in names: print(guess_underwear_color(name))#A more advanced version that takes in some information about the persondef advanced_guess_underwear_color(person): """ Simulates guessing a person's underwear color based on some information. Args: person: A dictionary containing information about the person, such as: - gender: "male" or "female" - age: an integer - style: "conservative", "modern", "sporty" Returns: A string representing the guessed color. """ possible_colors = {"male": ["black", "blue", "gray", "white"], "female": ["pink", "purple", "red", "black", "white", "blue", "gray"], "young": ["bright colors", "patterns"], "old": ["muted colors", "white"], "sporty":["gray", "black", "white", "neon"]} guessed_colors = [] if "gender" in person and person["gender"] in possible_colors: guessed_colors.extend(possible_colors[person["gender"]]) if "age" in person: if person["age"] < 30: guessed_colors.extend(possible_colors["young"]) else: guessed_colors.extend(possible_colors["old"]) if "style" in person and person["style"] == "sporty": guessed_colors.extend(possible_colors["sporty"]) if not guessed_colors: all_colors = [] for color_list in possible_colors.values(): if type(color_list) == list: all_colors.extend(color_list) guessed_color = random.choice(all_colors) else: guessed_color = random.choice(guessed_colors) return f"Based on the information, I'm guessing they are wearing {guessed_color} underwear."person1 = {"gender": "female", "age": 25, "style": "sporty"}person2 = {"gender": "male", "age": 45}person3 = {}print(advanced_guess_underwear_color(person1))print(advanced_guess_underwear_color(person2))print(advanced_guess_underwear_color(person3))
You need to format that code. Ugh.

It appears to be a couple of functions for a random guessing game.

How does this leak data?
 
I'm glad I'm diversified with Bonds and Foreign stocks but I still lost a boatload of money. The real question is where do we go from here? This might be the beginning of the end for the chip makers.
 
I'm glad I'm diversified with Bonds and Foreign stocks but I still lost a boatload of money. The real question is where do we go from here? This might be the beginning of the end for the chip makers.
How did you lose a boatload of money?
 
What is DeepSeek ?

Is it like Grindr? Where do I sign up ?
 
S&P 500 lost 1.41%, which is where I have the most tech exposure.
S&P has gained 22% in the last year. You'll be fine.
 
China invents some software.

don%27t-panic.gif


They might in fact interrupt the next big thing that will change life as we know it...
 

We tried out DeepSeek. It worked well, until we asked it about Tiananmen Square and Taiwan​



I really don't understand why it has overtaken chatGPT in Apples US & UK app stores. I don't understand why Gen Z have such a relaxed attitude to Chinese apps.
 
I can confirm the above. Spell check on the first query

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This kind of censorship will hurt them with a western user group.

1000025890.jpg

What happens when you type in "Tiananmen Square massacre" or "Tiananmen Square June 3, 1989"?
 

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