grajaganDev

Yes, and we are not talking about data like name, age, email, SSN, IP address, etc.

Its more like a search history - people share intimate details of their lives with AI apps, making targeting the user with propaganda much more accurate and effective.

Because they are very difficult for security engineers to detect.

I think that Security Engineering is a relatively safe career, unlikely to be fully automated anytime soon.

Google and Microsoft both bundled their AI offering into their office suites because they weren't getting traction as an add-on.

Startups don't have that option.

This looks really useful. It is tuned to catch specific kinds of bad code that LLMs sometimes generate.

This could be an extinction level event for some VCs.

And probably inaccurate much of the time.

No thank you.

Full title:

"Proposed Initiative Enters Circulation Requires Future Vote on Whether California Should Become Independent Country. Initiative Statute"

I think you will need to provide more details for this to be taken seriously.

Finding security vulnerabilities like HTTP Request Smuggling, race conditions and logic errors.

Python is a good choice.

It is probably the best language for passing Leetcode style interviews

This is a tough environment for startups - exits are very difficult:

Big companies and limiting acquisitions due to antitrust fears.

Wall Street has little appetite for IPOs.

No more zero interest rate policy.

Clickbait title. "liberators" does not appear in the article.

"Later in the day, world leaders and royalty will join with elderly camp survivors, the youngest of whom are in their 80s. Politicians, however, have not been asked to speak this year. Due to the advanced age of the survivors, about 50 of whom are expected, organizers are choosing to make them the center of the observances."

I would guess the number of people trying to register for DeepSeek is a couple of orders of magnitude greater than those probing to reveal censorship.

And the prediction that there is enough power to run all of those GPUs.

And there is a shortage of coal.

Humans and LLMs are different things.

LLMs can not reason - many people seen to believe that they can.

This sounds like hand waving to me.

Can an AI pull itself up by yanking on its own bootstraps?

We may be facing the same problem in the US soon.

Yes, the relatively-low cost at which it was allegedly trained.

Looks like NVDA also has no moat.

This article illustrates why we should be skeptical of any data coming out of China.

This includes DeepSeek.

This sounds like a perpetual motion machine.

Google and Microsoft are bundling AI in office suites because nobody wants to pay for AI.

>train better models

Where will the training data come from? I don't think LMMs can generate quality training data.

Right and LLMs will not be able to generate their own high quality training data.

There are no perpetual motion machines.

He carpetbagged every company he is associated with.

Now is is carpetbagging the US government.

From TeamBlind's Meta channel:

"I’m not even exaggerating. Management is worried about justifying the massive cost of GenAI org. How would they face the leadership when every single ‘leader’ of GenAI org is making more than what it cost to train DeepSeek V3 entirely, and we have dozens of such ‘leaders.’ DeepSeek R1 made things even scarier. I can’t reveal confidential info but it’ll be soon public anyways.

It should have been an engineering focused small org but since a bunch of people wanted to join the impact grab and artificially inflate hiring in the org, everyone loses."

Not good to start an article with "J.K. Rowling".

Here we go again.

China schooling Silicon Valley at their own game. First a better scrolling dopamine app and now with a more efficient LLM.

Silicon Valley is a dinosaur at this point with only themselves to blame.

Yes - I think layoffs are also backlash against WFH.

Employees were getting a bit too uppity.

"Under the revised proposal, the U.S. government could own up to half of the new structure once it IPOs at least $300 billion, according to the source."

Does anybody want the USG running and owning a social media company?

Are we going to nationalize any other industries? Isn't that Communism?