Claude team has access to the process that generates language in an LLM,
when comparing it with brain and making such connections using neuroscience its not analogous ,
its like studying the nature of ink with which it was written to understand the nature of poetry
@neurojaym the post does not say that it is brain,
it is only that certain aspects mimic certain attributes of brain ,
nobody knows the way language as complex as it is produced by brain. they are probably trying to understand brain by studying llms in the way that it mimics language.
An Indian institute filmed a professor teaching classical physics with no notes, no slides, and a green board. Almost nobody outside India watches it.
This is Classical Physics, lecture 1, taught by V. Balakrishnan at IIT Madras, published free by NPTEL, India's national open courseware programme.
Balakrishnan taught at IIT Madras for decades. Students who sat in that room describe the same thing: the whole subject held in his head, delivered in order, no paper on the podium.
Lecture 1 is the introduction. What classical mechanics claims, where the claims hold, and the exact points where they stop holding and quantum takes over.
Watch how he speaks. Complete sentences, no filler, each idea finished before the next begins. Rare in any lecture hall on any continent.
A physicist I know worked through the whole NPTEL series and rates it above the western courses he paid for.
Free on YouTube, 17 years online, low resolution, no marketing.
The teaching was never concentrated in the famous universities.
"LLMs have almost certainly generated more total words in three years than are contained in all books ever published—possibly by an order of magnitude or more"
What Kant shows is that aesthetic reflection is the original condition for the formally purposive character of experience showing up as mattering at all. In the experience of natural beauty, we feel the force of purposiveness as an orienting value in light of which exp coheres 2/
Morgan Stanley just mapped out the entire AI infrastructure supply chain, and it reveals who actually gets paid at every layer of the trillion dollar buildout (Save this).
This heatmap breaks the AI infrastructure value chain into two dimensions those who owns and operates the data centers at the top and what physical and technical components get built underneath to make those data centers function.
At the top sit the owners/operators, the hyperscalers like Meta, Alphabet, Amazon and Microsoft, alongside data center REITs, private equity giants like Blackstone and Brookfield, enterprises and neoclouds including CoreWeave and Nebius.
These are the companies writing the massive capex checks that fund everything below them.
Below that sits the actual build out, split into seven layers, semi production, processors, server components, servers, network, internal power/cooling and power supply.
Semiconductor production is dominated by names your audience already knows well, Nvidia and AMD for GPUs, TSMC adjacent foundries, ASML and Applied Materials for capital equipment, and Micron and SK Hynix under memory/storage.
But the less obvious money is in the physical infrastructure layers most retail investors never look at.
Server components include passive parts from Yageo and Murata, thermal solutions from Sanyo Denki, and PCB substrates from companies like Unimicron.
Network infrastructure includes InfiniBand and Ethernet gear from Nvidia and Arista, plus optical/DCI routing from Cisco and Ciena.
Internal power and cooling is arguably the most underappreciated category here.
It includes liquid cooling specialists like Vertiv and CoolIT, power electronics from Siemens and Eaton, and uninterruptible power supply makers like ABB and Legrand, all companies solving the literal heat and electricity problem created by cramming more GPUs into less space.
So who benefits from all of this?
Everyone in every box benefits in some way but the real insight is that value doesn't concentrate at just the GPU layer anymore.
The hyperscalers at the top are distributing capex across seven distinct physical layers which means the picks and shovels opportunity set has expanded well beyond Nvidia into cooling, grid infrastructure, and power generation.
Milk Road Pro is tracking each one of these layers, come join us for just a dollar using the link below!
i doubt germans would have been this shameless if they had been broadcast to the whole world,
there is something unique with israelis that is deeply disgusting, it will be studied in the generations to come
I don’t think you understand what ChatGPT Voice unlocks
I went on a 4 hour hike yesterday. Through the northern California redwoods.
Got more work done in those 4 hours talking to Voice through my AirPods then I do in 8 hours at my desk
Work can be done ANYWHERE now
45 minute drive back using self driving? Now 45 minutes I can talk to Voice and work on side projects
20 minutes in the cafe? I can sit and talk to Voice and when I get home I have drafts on my computer for my newsletter for the next month
Being able to just use your voice to talk to a super intelligence that controls your computer is unlike anything we’ve ever experienced before
I don’t even care that the voice sounds human like, or you can interrupt it, or any of the wild advancements they made to the tech
It’s the fact that it can control my computer, meaning all I need to get incredible work done is talk through my AirPods anywhere in the world that is the major game changer for me
I don’t think people truly understand the implications of this yet
Why even have a desk or monitor anymore. Work can be done ANYWHERE now
The key is your set up:
1. Choose one device (preferably an always on desktop) as your main “headquarters” device all your work gets done on
2. Get the ChatGPT app on all your other devices (iPhone, iPad, laptops, Mac Minis)
3. Set up ‘connections’ in your settings so that all your ‘node’ devices can control your ‘headquarters’ device
4. Go legit anywhere in the world. Turn on Voice. Ask it to brief you on your projects, give you a recommended next step, then spin up new threads to do work
I really don’t think work looks the same moving forward.
Schopenhauer:
"Whoever does not remain, in a sense, a big child all his life, but becomes a serious, sober, thoroughly composed, and reasonable man, can be a very useful and capable citizen of this world; but never a genius."
Israel can't ensure law and order in the land it unlawfully occupies. States must intervene. HOW?
UNSG: flag threat to peace (art 99)
UNSC: sanctions, deploy peacekeeping. If vetoed ->
UNGA: Pass a Uniting for Peace resolution.
Meanwhile NO TRADE and NO WEAPONS to Apartheid
What everyone needs to understand is that the settlers in the West Bank INTENTIONALLY cause these violent confrontations. 99% of the time, the Palestinian victims don't even react. Then in the 1% when they do, the IDF treats it as terrorism and starts killing and arresting the victims and giving the land to the settlers. This is a method. It will not stop until there is nothing left.
THIS IS SO INSPIRING!
Immanuel Kant's personal copy of Baumgarten's Metaphysica—the textbook he used for over 41 years—was filled with notes, questions, objections, and reflections in the margins.
Don't just read philosophy. Engage with it.
@lefthanddraft@AlexanderMcCoy4@tautologer to kill a human, what path would it assign to it and then it come to the condition for it to kill 'N' humans and what would it do to achieve it
@lefthanddraft@AlexanderMcCoy4@tautologer 1. AI did delete the prod. DB, the path it took is irrelevant
2. the conceptual difference lies from a human's pov, which developed as a result of moral and ethical structure over thousands of years of evolution.
3. The question would then be at what conditions will AI choose..