Chris Forrester @Elationate
CTO of @shyftnetwork, former CTO of @decentralca @jaxx_io. Keeper of many fires. Builder of many things. Decentralizer of that which should be decentralized. Joined January 2016-
Tweets2K
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Followers249
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Following125
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Likes1K
Plot twist - LLM's just keep getting "better": Mixture of Warlords
1/ Until late December last year, VASPs faced a significant hurdle in complying with the #FATFTravelRule. The challenge 👀 Verifying non-custodial wallet ownership securely and efficiently was a complex task. #UserSigning
also, ghost-in-the-machine quote of the day (just before it completely degenerated, 32k llama 2 code instruct) #llama2 #32kai #ai #ghosts #ScoobyDoo
more than likely we'll see cpus at 30-50ghz per-processor if this is real, in around 7 years. one of the nice things about current semiconductor fabs is they have processes that require this type of intense manufacturing and yield capacities. copper stocks ftw..
more than likely we'll see cpus at 30-50ghz per-processor if this is real, in around 7 years. one of the nice things about current semiconductor fabs is they have processes that require this type of intense manufacturing and yield capacities. copper stocks ftw..
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@gunsnrosesgirl3 Amazing 🔥 x.com/xudong1966/sta…
Happy birthday big boy 🎂
Wild tech you have to try: groq.com They are serving Mixtral at nearly 500 tok/s. Answers are pretty much instantaneous. Opens up new use-cases, and completely changes the UX possibilities of existing ones.
One simple use of current AI capabilities that I haven't seen implemented yet is that GPT-4V can create cheap monitoring systems with any webcam. Send an image once every 30 minutes and ask "You are a [security guard/exterminator/etc] do you see anything that concerns you? "
OpenAI just released its Code interpreter to all Plus users. You now have access to a junior programmer at the speed of your fingertips. Here's everything you need to know:
People always ask if prompt engineering is going to go away over time. My short answer is "no". But, a more nuanced answer is that the goal of prompt engineering has evolved over time: from nudging a finnicky language model to do an "easy" task (2020/2021) to figuring out how to…
5M tokens of context. Let that sink in. Yes, there's caveats. But consider what's to come: - Entire codebases in prompts - Novel-length spec docs as instructions - k-shots where k = 10K - Few-shots where each "shot" is 50K LoC → diff Those who declared the imminent death of…
Meet LTM-1: LLM with *5,000,000 prompt tokens* That's ~500k lines of code or ~5k files, enough to fully cover most repositories. LTM-1 is a prototype of a neural network architecture we designed for giant context windows.
@emollick Going to change the signal to noise ratio of the world dramatically If I can generate a decent essay without putting any real effort into it, we’re going to be swimming in a sea of generated garbage Counter point - great thinkers can become 100x more prolific writers
@Elationate hi i have a question about shyft, if you could kindly look into your DMs! ty
Superposition is easy to explore -- you can play with it on a single GPU! We have a notebook reproducing our basic results to start you off: colab.research.google.com/github/anthrop…
We also find that neural nets can do simple computation on features while they're in superposition. This suggests a wild possibility: neural networks may, in some sense, be simulating larger sparse models.
@moritzkremb Well, I have a follow-up question for you .. how can it be a disadvantage for them? They have access to data of lots of people, they have their trust in the sense of them having used Google products for so long …
@Elationate @Hank_Thompson @MikeDrucker Oh man, that is not only a Fantastic Point, but also a very interesting and different way to interpret those lyrics. Escapism isn’t a bad thing, but it’s not healthy when it’s the only thing one has.
@Elationate @Hank_Thompson @MikeDrucker Not to mention that lyric lined up perfectly with what was going on in the ad. I totally noticed that part too, because he was having fun trying to build things that weren't working, like the boat that sinks.
@emollick Can it mine insights from our own emails? This I would appreciate. Since Google is reading all our emails anyway, they should pass back some of the benefits…
@Elationate @emollick What I want people to realize is that LLMs are not search engines. They're designed to give you the most likely next word in context, regardless of "facts". You see this time and time again when people having tried one prompt say "ChatGPT is useless, it just lies about stuff".
@hanson2321 @MikeDrucker I did some lining up, yes. That moment is mostly lucky since there were earlier parts I considered first.
@Elationate @mdgio yes the amount of linear algebra that happens per token is fixed afaik determined by the number of layers, attention heads, and other stuff I’m forgetting
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