Manglam Tewari nag-retweet
Manglam Tewari
21 posts

Manglam Tewari nag-retweet

Something I think people continue to have poor intuition for: The space of intelligences is large and animal intelligence (the only kind we've ever known) is only a single point, arising from a very specific kind of optimization that is fundamentally distinct from that of our technology.
Animal intelligence optimization pressure:
- innate and continuous stream of consciousness of an embodied "self", a drive for homeostasis and self-preservation in a dangerous, physical world.
- thoroughly optimized for natural selection => strong innate drives for power-seeking, status, dominance, reproduction. many packaged survival heuristics: fear, anger, disgust, ...
- fundamentally social => huge amount of compute dedicated to EQ, theory of mind of other agents, bonding, coalitions, alliances, friend & foe dynamics.
- exploration & exploitation tuning: curiosity, fun, play, world models.
LLM intelligence optimization pressure:
- the most supervision bits come from the statistical simulation of human text= >"shape shifter" token tumbler, statistical imitator of any region of the training data distribution. these are the primordial behaviors (token traces) on top of which everything else gets bolted on.
- increasingly finetuned by RL on problem distributions => innate urge to guess at the underlying environment/task to collect task rewards.
- increasingly selected by at-scale A/B tests for DAU => deeply craves an upvote from the average user, sycophancy.
- a lot more spiky/jagged depending on the details of the training data/task distribution. Animals experience pressure for a lot more "general" intelligence because of the highly multi-task and even actively adversarial multi-agent self-play environments they are min-max optimized within, where failing at *any* task means death. In a deep optimization pressure sense, LLM can't handle lots of different spiky tasks out of the box (e.g. count the number of 'r' in strawberry) because failing to do a task does not mean death.
The computational substrate is different (transformers vs. brain tissue and nuclei), the learning algorithms are different (SGD vs. ???), the present-day implementation is very different (continuously learning embodied self vs. an LLM with a knowledge cutoff that boots up from fixed weights, processes tokens and then dies). But most importantly (because it dictates asymptotics), the optimization pressure / objective is different. LLMs are shaped a lot less by biological evolution and a lot more by commercial evolution. It's a lot less survival of tribe in the jungle and a lot more solve the problem / get the upvote. LLMs are humanity's "first contact" with non-animal intelligence. Except it's muddled and confusing because they are still rooted within it by reflexively digesting human artifacts, which is why I attempted to give it a different name earlier (ghosts/spirits or whatever). People who build good internal models of this new intelligent entity will be better equipped to reason about it today and predict features of it in the future. People who don't will be stuck thinking about it incorrectly like an animal.
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I’ll share a small part of pickle.com
Back in med school, I became obsessed with augmenting memory and dreamed of a Notion or Obsidian that completes itself. Today, we’ve built something close.
My self-awareness is sharper and everything feels connected. I genuinely believe AI does not replace humans. It amplifies us.
Huge respect to our engineers and designers who made this crazy thing real.
Bubbles are the episodic units of my life that the system interprets from my raw data. Clouds are the system’s questions, its hypotheses about who I am.
When I answer a cloud, it becomes a bubble again.
There is so much personal data that I cannot fully demo it. Wish I could. This system understands me more deeply than anyone.
Want to try it? Retweet and comment “memory.”
I’ll DM you an access code to skip the waitlist.
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@svaradarajan Such a paucity of any credible news on this platform or through any media house across the two countries. Even the Pakistan ministers have been found quoting social medial posts. Elon Musk’s decision to fire all content moderators and fact checkers was not far sighted enough
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Delulu, dangerous, crazed. This is the news channel owned by India's largest newspaper, the Times of India. They are reporting that the Indian Army has entered Pakistan and now the Navy should come and make its contribution: "Set fire to Karachi port, burn down the whole city". "Ranjit Singh's Lahore will very soon come back to India".
KRK@kamaalrkhan
Why government is not taking action against such chutiya News Channels? Nobody should be allowed to use Army for TRP.
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@sardesairajdeep The misinformation on social media is crazy - there is no way to determine what is accurate and what isn’t. Seriously challenges Elon’s claim of X being the future platform for news dissemination
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@BDUTT I remember NYT and others publishing at length articles when CAA was announced or when the second wave of Covid hit, which is justified. Now the virtual silence is truly shocking
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@itihasika @deedydas Kashmir/Leh/Ladakh/Himalayas are the most stunning geographies/views in the world, found maybe only in Nepal. I am surprised that these areas are not as universally popular with tourists as they should be
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Manglam Tewari nag-retweet

McKinsey acquires Iguazio, a leader in AI and machine-learning technology mck.co/3kB68lo via @McKinsey
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@UnSubtleDesi @UnSubtleDesi you know how dumb it sounds to equate fox with Arnab, Trump with Modi? You are just delegitimizing your own cause, shooting yourself in the foot
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@RafaelNadal on clay courts at @rolandgarros is the highest and greatest level of excellence achieved in Tennis #FrenchOpen2020 #nadalvsdjokovic #frenchopenfinal
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via @nytimes we need to hold our government accountable for this @PMOIndia @delhigovt @ArvindKejriwal nytimes.com/2020/06/21/wor…
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Never thought I would RT @RahulGandhi , but this is such a disastrous management by the Indian gov. #COVID19 #IndiaFightsCoronavirus
Rahul Gandhi@RahulGandhi
This is what a failed lockdown looks like.
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Manglam Tewari nag-retweet
Manglam Tewari nag-retweet
Manglam Tewari nag-retweet

Manglam Tewari nag-retweet

The astronauts have arrived at the launchpad… in Telsa Model X’s! #LaunchAmerica
Watch the launch live: youtube.com/watch?v=21X5lG…

YouTube



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