@nileshtrivedi The influencer keyword itself has negative connotation, may be we can create a new category for such people, like say Sherpa. So in this case Tech Sherpas ? There are people with huge basin of influence and people naturally follow them.
I feel @RichardSSutton's argument is very long horizon & asymptotic. He is not necessarily saying in next 5 years, search & learning is most important. But assuming orders of magnitude more compute (say Quantum computers etc), then what should we be working on.
What they both say aren't necessarily orthogonal. @karpathy's main issue with RL is current credit assignment, which doesn't care about cruciality of actions at states (some actions are more crucial). Secondly he dislikes long chains of supervision flow & very large rollouts.
Octopus, Raven, and Squirrel are my fav examples to show how small a brain it takes to do "intelligent & combinatorial problem solving" at run-time (as opposed to design-time the way we train our LLMs)
@RichardSSutton indeed has a valid point.
@karpathy probably meant that our current methods of RL are terrible. Or did he mean the RL goal or the problem formulation itself? 🤔
@SubinSiby No just Ubuntu/gnome workspaces. I don't have two xsessions, just one. But I use gnome and xmonad together, this gives you workspaces like in Ubuntu. But you do tiling within the workspace but switch workspaces like in gnome.
@nileshtrivedi Isn't it true that none of these are encrypted in app, only the moment it is leaving the app and till it reaches another users app. So one could implement a similarity based walker, that traces back thru network, each 'similarity' run locally. Just that this is slower...
@paraschopra@HiSohan Really nice job @HiSohan. What I particularly like is that you documented it well (including your design thought process), this make it really accessible to people wanting to make changes & gives overall directionality of what will not break the pattern & what will.
@paraschopra Always thought you were on top of it, esp. with all papers you cite. I used to do this, usually at Auroville, with limited net but with a laptop. Sort of a yearly mindful distillation. https://t.co/WFw1GSUzTI
In a game of 64 squares, you've opened a world of endless possibilities. Congratulations, @DGukesh, on becoming the 18th World Champion at just 18! Following in Vishy’s footsteps, you're now guiding the next wave of Indian chess prodigies. 🇮🇳♟️🏆
If you’re unable to get enough female applicants for a Bangalore-based AI program, then maybe the correct response is acknowledgement that you could be using better channels/platforms/networks/adverts for callouts instead of lashing out with a holier than thou attitude 🤷🏽♀️
From Bishop's DL book. Think searching for a movie, say with its attributes like genre, lang, actors.. (key). For this key, you could find other movies that fit this char, that is its value. To find similar movies, first find the char (query), then closest key & its value.
I've been trying to wrap my head around the transformer mechanism, but something about this "key, query, value" business eludes my grasp. What is the value exactly? I understand the math, but I don't see the purpose of it.
Thoughts?
@neeldhara You can check out Jacob Mattingly's jemdoc, pretty simple markup to html. Works well, when univ provides static page hosting and want a basic page. No setup nothing. Jekyll based see, Stefano Ermon and groups's notes pages. https://t.co/H5pRG1zbu9
🌟 Call for Talk Proposals! Do you work on projects showcasing the power of AI and ML/DL applications in creative AI and generative AI? Submit your proposal for the demo track at The Fifth Elephant 2023 Winter edition before Nov 15: https://t.co/h50QaXXbZP #GenAI
Chandrayaan-3 Mission:
'India🇮🇳,
I reached my destination
and you too!'
: Chandrayaan-3
Chandrayaan-3 has successfully
soft-landed on the moon 🌖!.
Congratulations, India🇮🇳!
#Chandrayaan_3#Ch3
📣 Calling all Generative AI builders in Pune for a Gen-AI meetup on September 9th!
Join us for a series of insightful talks by speakers from @Replit and Calsoft and a workshop by @llama_index (@ravithejads ). You will also get a chance to interact with the founders of @Peerlist (@designerdada ) and Kombai who will talk about how they are integrating AI into their products and workflows.
This event has limited registrations so make sure to sign up ASAP!
https://t.co/jHjJatXsr7
Super pumped up for #Chandrayaan3. As a technologist in allied areas (Robotics), mad respect for the folks at @isro. Anyone interested to catch up for watch party in #Indiranagar. If you are curious about what had happened with #Chandrayaan2 https://t.co/XArFgmBaLY
One major contributor being that road transportation being much larger mover of people, thus larger fatalities in 1.3M. The reason aviation is more riskier per trip due to much larger average trip lengths.
At a big picture level this is very interesting, that total deaths from aviation is much smaller than road transportation. But comparing 176 vs 1.3 million feels like 3-4 orders of mag safer, that is not correct. Aviation is about 30-60 times safer per mile but 3x riskier/trip
19. How Incredible Modern Aviation Is
In 2021, there were only 176 deaths from 2.2 billion airline passengers.
In the same year, ~1.3 million people died in road accidents.
The airline industry might be humans most profound achievement to date