tudorw

10 ms·

91.
by tudorw 3y ago
I've just pinged the author in case they need to prepare or would like to submit themselves, or at least that it's a good time!
92.
by tudorw 3y ago
Just to add some context, have a look at the memory systems in https://aithought.com/ Creating a model of that might be a fun experiment, at the moment often agents sit in stasis waiting for interaction or new information,
93.
by tudorw 3y ago
Have you thought about implementing timelines, I've been messing around generating text with AI, then using AI create an extract that is time stamped, to give some temporal consistency, for creative use it doesn't have to be perfe
94.
by tudorw 3y ago
No problem, simply subscribe to our service SafeSight, using the latest imaging technology everything you see is processed by our AI powered manipulation sensing algorithms before your eyes see it, real-time screening and flagging of events
95.
by tudorw 3y ago
In the UK I quite often see peanuts sold in shells, I am sure there would be a market for these in our artisanal markets, people crave novelty!
96.
by tudorw 3y ago
I think that's going to be a geodesic in a hyper-dimensional manifold. There was an article here about 'wordlets' on a hyper-sphere and a piece on time and LLM and the relating manifold. Visualising LLM topology (multi-dimens
97.
by tudorw 3y ago
Does anyone have the resources to try this with PHATE ( https://www.nature.com/articles/s41587-019-0336-3 )
98.
by tudorw 3y ago
Would this kind of understanding aid in extracting 'skills' from an LLM by identifying the relevant topology and isolating that part? Then we could have a toolbox of skills to assemble into what we needed?
99.
by tudorw 3y ago
Xanadu
100.
by tudorw 3y ago
BOC sells a couple of Xmas smells, or did at least, from 1995, 'BOC's first big customer is Woolworths, where a whiff of cinnamon and a subtle hint of cloves will be in the air this Christmas' by 1997 it had become 'a he
101.
by tudorw 3y ago
easy for you to say :)
102.
by tudorw 3y ago
But 70% of your friends would have to walk.
103.
by tudorw 3y ago
I guess for games engines accuracy vs speed might benefit, once we have ways to 'prune' an individual trait from the best model into a micro-specialised optimised model then this stuff will be everywhere as a 'good enough&#x2
104.
by tudorw 3y ago
Downvotes without comments is pithy. Can you suggest my error at least?
105.
by tudorw 3y ago
or not. It's interesting to me.
106.
by tudorw 3y ago
UK, not EU but then the OP mentioned European Citizens, I'd argue I'm still European, that's geography.
107.
by tudorw 3y ago
Smells good too!
108.
by tudorw 3y ago
We got BAE Systems and QinetiQ so...
109.
by tudorw 3y ago
Wow, love this, thanks, such a broad subject that interdisciplinary opportunities must abound. Work like this combined with the huge amount of effort in open source work to move quickly from examples in papers to running code makes for an e
110.
by tudorw 3y ago
I'd add to that, the comments are fresh on resurfaced article, so if there is a new competitor or alternative it get's mentioned.
111.
by tudorw 3y ago
My first endeavours live on at least partially thanks to the wayback machine; https://web.archive.org/web/19961230152148/http://www.tangen... We had a 3d mol viewer and RealAudio :)
112.
by tudorw 3y ago
Smell.
113.
by tudorw 3y ago
Oh Internet, so maybe I can do that, thought we all could! Sounds like roaring wind...
114.
by tudorw 3y ago
I'm finding Mistral good at creative literature and it is fairly adept at taking instructions, good enough for my purposes, and running locally on consumer CPU, the future of open source local models looks bright.
115.
CBMM10 Panel: Research on Intelligence in the Age of AI [video](youtube.com)
2 points by tudorw 3y ago|0 comments
116.
by tudorw 3y ago
Which is a fine place to start, a lot of our current shiny toys are a rehash of old ideas in a modern context, https://people.idsia.ch/~juergen/deep-learning-history.html
117.
by tudorw 3y ago
I'm interested in the 'slower/tougher' route you mentioned, do you recall the final performance, am assuming it was equivalent or worse. Given the vast disparity in power consumption between silicon and meat space it&#x2
118.
by tudorw 3y ago
I agree with this, I should have been more specific, I really meant it from the researchers perspective, they are trying to make NN's that more closely model the brain for their brain research, not for AGI, so in that regard, the resea
119.
by tudorw 3y ago
Maybe, I think the research here is from a brain perspective, AI and Brain Science are having an interesting time, with learnings from both feeding in, so this article is focused on the physicality of networks in the brain, and looking at w
120.
by tudorw 3y ago
If I understand this correctly, they added a property to a NN of distance, and set the training to penalize increased distance between nodes to simulate a physical constraint, under these conditions 'hubs' emerged which facilitate

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