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Motivated by the factorization inherent in the original fast multipole method and the improved fast Gauss transform we introduce a factorable form of attention that operates efficiently in high dimensions. This approach reduces the computational and memory complexity of the attention mechanism in transformers from O(N2) to O(N). In comparison to previous attempts, our work presents a linearly scaled attention mechanism that maintains the full representation of the attention matrix without compromising on sparsification and incorporates the all-to-all relationship between tokens. We explore the properties of our new attention metric and conduct tests in various standard settings. Results indicate that our attention mechanism has a robust performance and holds significant promise for diverse applications where self-attention is used.


It is a future projected value of a company. You can not realize it. If you start selling stocks, they will drop at a rapid pace. The entire stock market is in a way projection of all future money the stocks will potentially make for a long time. This is not liquid cash that can be injected for any other purpose.


Cool.

However, the OP was incorrect, it's 2x the AAPL market cap.


Mark Zuckerberg, Founder and CEO of Meta, said, "I'm excited to share that Hock Tan and John Arnold are joining Meta's board of directors. As we focus on building AGI, having directors with deep expertise in silicon and energy infrastructure will help us execute our long term vision."


The API call result in the tweet shows up a user able to spot GPT4.5 model's metadata in the API. This mean that a model release is closer.


Any plans to release the models ?


The pretrained models are already available online! Check out the "demo" section of the website. Your browser is fetching the model when you run the demo.


Will the code be released, or an API endpoint? Otherwise it will be impossible for us to use it for anything.. since it's Google I assume it will just end up in a black hole like most of the research.. or five years later some AI researchers leave and finally create a startup.


I hope to release code in the new year, but it'll take a while. The codebase is heavily wired into other not-yet-open-sourced libraries, and it'll take a while to disentangle them.


That sounds terrific! I really appreciate your effort. It's amazing work and so great of you to share it.


Researcher Ed Gerck claims to have cracked the world's most public key algorithm, RSA-2048, Data Breach Today reports. Gerck, a quantum computing developer and founder of Planalto Research, used a system based on quantum mechanics. Gerck's work has not yet been confirmed.


Social media platform X, formerly known as Twitter, said on Tuesday it will test a $1 annual fee under a new subscription model for posting content, replies, likes, reposts or quoting other accounts' posts, and bookmarking posts.

The purpose of introducing "Not A Bot", the new subscription model, is to combat bots and spammers.


How is the content quality ?


It's okay I have to say. I just ran out of memory on my 4090, so I had to retry on an A100. Here's an extract: https://pastebin.com/pzLfCFWt

I think something might be off with the example. Can't wait for this stuff to work on llama.cpp. Going to try it with mistral & stable lm now, thankfully tomorrow is a holiday in Germany :)


We introduce StreamingLLM, an efficient framework that enables LLMs trained with a finite length attention window to generalize to infinite sequence length without any fine-tuning. We show that StreamingLLM can enable Llama-2, MPT, Falcon, and Pythia to perform stable and efficient language modeling with up to 4 million tokens and more.


Sorry, what does "up to 4 million tokens and more" mean? It seems like a contradiction.


Not really a contradiction so much as redundant/poorly worded. Should have said, "at least 4 million tokens".


Here's a reference describing what a context window for LLMs is:

https://www.hopsworks.ai/dictionary/context-window-for-llms


Burry and his Scion Asset Management fund bought put options (contracts giving the option to sell at a certain price) with a value of $886 million against the SPDR S&P 500 ETF Trust which tracks the S&P 500. Scion also bought put options totaling $739 million against against the Invesco QQQ Trust ETF QQQ that tracks the Nasdaq 100.

The $1.6 billion Scion spent betting against the market represents 93% of the fund's entire portfolio.

This is a reversal from the bank buying spree Scion went on in the first quarter before economic stress led to the dissolution of multiple mid-sized banks.

The S&P 500 and Nasdaq have actually had strong years so far in 2023, climbing 17% and nearly 40%, respectively.


He probably bought put options with a notional value of $886/$739, but the premium is dramatically less than that. He's not betting more than like 10% of the fund. It's not clear the way the article is written, but the man's crazy, not bonkers. If he spent $1.6B in put option premiums he's playing to be the first trillionaire.


How often does the Nasdaq go up 40% and then stay up? I don't really know anything about the stock market, but do you really need to be a maverick to guess that it might go down again?


The problem isn't knowing it might go down, it's knowing when it might go down, and how far.


Last year, the entire Nasdaq was rocked with companies like NVidia, Meta, Tesla, Netflix, Apple, Google down anywhere between ~35-70% from their all time highs. A rally of this magnitude is notable, but they're by-and-large just regaining ground they already had (save NVidia which just rocketed past its all time highs). For some perspective on how much those megacaps influence the entire index, the top ten companies in the Nasdaq account for ~50% of the entire index.


that's what everyone said in 99 when nasdaq basically doubled in a year... then continued to more than double the year after that! a lot of guys blew up being too early trying to guess when the selloff would finally happen...

they're called bulls for a reason - they're not the brightest, but you gotta be sure to either join 'em or get the heck out of the way while they're in control!


But how much higher can the market really go with interest rates like this?


"The market can stay irrational for longer than you can stay solvent"


The market did great in the 1980s, and the Fed Funds rate averaged about 10% over the decade and never dropped below about 6%, which is higher than it is today. So, there's that.


Since it's right around ATH right now I'd say 100% of the time, give or take.


What is the expiration date on the puts?


That's not included in the filing.


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