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ilaksh 5 hours ago [-]
Those are amazing accomplishments but I am more interested in research developments in things like In-Memory (Analog) or other different approaches.
Companies like EnCharge, Mythic, etc.
And much more efficient devices like RRAM, MRAM, and FETs. Like FE-FETs with AlScN.
The stuff just coming out of research or still in research is more exciting in terms of the potential for truly huge efficiency and performance boosts.
Taalas is interesting also because of it's efficiency and speed. Guess it was just purchased by AMD.
brcmthrowaway 23 minutes ago [-]
Can memristors help AI?
paaloeye 5 hours ago [-]
Not too shabby, but it shouldn't have been like 3 posts
pure_magic 5 hours ago [-]
This text is most likely AI-generated. Borderline unreadable.
iamflimflam1 2 hours ago [-]
My meatbag or robot scored it as likely a robot and most likely Claude.
When the density of italicized words is about 1:1, I'm out.
postalrat 5 hours ago [-]
Most like AI generated? If you can't tell then what's the problem?
catlifeonmars 5 hours ago [-]
It’s shorthand for “it’s unreadable, but in the way an AI would write it”. I’m not OP, but that’s the issue. If it was well written (even if AI written), there would be no problem.
As it turns out, you still need to be a good writer in order to prompt an AI to write well.
ghurtado 5 hours ago [-]
Wise people tend not to talk in absolutes, because they always realize they might be wrong.
Ignorant people are always certain.
Zacharias030 3 hours ago [-]
always?
paaloeye 5 hours ago [-]
def. AI-assisted, both content and style style/nav.
Content-wise, it looks legit, but with that amount of stuff, it's nearly impossible to say for sure.
Not slope tho!
peter_d_sherman 18 minutes ago [-]
I personally found this article highly educational...
One of the best deep-dives on AI chip architectures that I've ever read.
Other posters are welcome to their opinions, but I (again, personally) thought it was great!
hadlock 6 hours ago [-]
Maybe it's just me, but between the extremely thin font and layout design, I find this extremely difficult to parse. Overuse and improper use of italics is confusing as well.
SomeHacker44 4 hours ago [-]
I didn't believe it till I tried to read it. Insane. Impossible to read.
brcmthrowaway 5 hours ago [-]
I have a feeling the hardware architecture for LLMs are completely wrong. There's no way hundreds of kilowatts is required for intelligence.. just in terms of the physics. Is there someone out there in the analog/neuromorphic computing world that could make these power-hungry monsters completely redundant?
skyberrys 4 hours ago [-]
It's more the economics of what sells that lets the power hungry monsters thrive. If you can tape out one chip design, and one gives you 1 TOPS and the other is 5 TOPS, the sales will go to the 5 TOPS because power is a downstream cost. That being said, it's only a matter of time before both chips are maximum TOPS and the only differentiator is power. My latest simulations are showing a competitive design around 70W, but I'm still confirming it and it would really be beneficial to do some data gathering tapeouts at larger nodes to feel like it's worth the risk of more expensive nodes.
brcmthrowaway 4 hours ago [-]
Systolic hardware?
skyberrys 3 hours ago [-]
Race logic with pulses, it's a descent of systolic arrays. There is less of an array shape and more about time.
brcmthrowaway 24 minutes ago [-]
Where can I find the whitepaper?
whaleofatw2022 2 hours ago [-]
Dumb question, wouldn't node size impact the logic latency itself on some level?
skyberrys 1 hours ago [-]
Yes smaller nodes give lower power operation with faster transistor switching speeds. You can also underpower a node to intentionally cause slower transistor switching speeds.
jagged-chisel 5 hours ago [-]
I have a gut feeling the particular stochastic processes we’re currently using are the wrong ones to go beyond LLMs into actual intelligence.
Companies like EnCharge, Mythic, etc.
And much more efficient devices like RRAM, MRAM, and FETs. Like FE-FETs with AlScN.
The stuff just coming out of research or still in research is more exciting in terms of the potential for truly huge efficiency and performance boosts.
Taalas is interesting also because of it's efficiency and speed. Guess it was just purchased by AMD.
https://meatbag.atomic14.com/
When the density of italicized words is about 1:1, I'm out.
As it turns out, you still need to be a good writer in order to prompt an AI to write well.
Ignorant people are always certain.
Not slope tho!
One of the best deep-dives on AI chip architectures that I've ever read.
Other posters are welcome to their opinions, but I (again, personally) thought it was great!