Manglam Tewari

[Paras Chopra @paraschopra]

What high-paying jobs will exist in 10 years from now?

[Andrej Karpathy @karpathy]

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.

[Manglam Tewari @manglam]

@danifesto Memory

[Manglam Tewari @manglam]

@alex_prompter Claude

[Manglam Tewari @manglam]

@nicochristie Would love to try!

[Manglam Tewari @manglam]

@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

[Manglam Tewari @manglam]

@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

[Manglam Tewari @manglam]

@FitFounder WALK

[Manglam Tewari @manglam]

@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

[Manglam Tewari @manglam]

@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

[Trung Phan @TrungTPhan]

Read a great Reddit thread putting historical dates in perspective.

Here are 8 gems.

1/ The moon landing was only 66 years after the Wright Brothers first flight (1903-1969). Within a lifetime, humans went from having limited flight tech to travelling ~239k miles from Earth.

[Manglam Tewari @manglam]

McKinsey acquires Iguazio, a leader in AI and machine-learning technology https://t.co/MgX2Zluy7u via @McKinsey

[Manglam Tewari @manglam]

@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

[Manglam Tewari @manglam]

@RafaelNadal on clay courts at @rolandgarros is the highest and greatest level of excellence achieved in Tennis #FrenchOpen2020 #nadalvsdjokovic #frenchopenfinal

[Manglam Tewari @manglam]

via ⁦@nytimes⁩ we need to hold our government accountable for this ⁦@PMOIndia⁩ ⁦@delhigovt⁩ ⁦@ArvindKejriwal⁩ https://t.co/52pZ0cuZnt

[Manglam Tewari @manglam]

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.

[Shashi Tharoor @ShashiTharoor]

The elephant dying, whether in Malappuram or Palakkad, is terrible news for all of us.
For some though, dying in a “Muslim-majority district” triggers more emotions, but that’s understandable ... it’s simply that the human in them died much before the elephant did.

[jack @jack]

Joining #8CantWait https://t.co/1BqNbctj8f

[McKinsey & Company @McKinsey]

McKinsey comments on racial bias and social injustice: https://t.co/gXO4qLG1nh

[David Pogue @Pogue]

The astronauts have arrived at the launchpad… in Telsa Model X’s! #LaunchAmerica

Watch the launch live: https://t.co/aSMD0nBgae