Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
@aherosfuneral@OpenAIDevs You don’t need to invent to be successful. Take Apple for example. They started with one invention and since then, they just perfect/improve others inventions. I think they are doing well with the money.
@ErikSolheim This post is kind of misleading. The more accurate picture is the country bus fleet mix. If a country is not buying electric buses doesn’t mean it has none. And if 100% of new buses are electric, it doesn’t show it’s 2% of the whole fleet 🤷♂️
🤯 Midjourney -- yes, the AI image company -- just shipped a brand new type of imaging machine. 🤯
- 100x faster than an MRI.
- 10x cheaper.
Full body scanned in 60 seconds instead of an hour in a tube. Ultrasound based, MRI-level resolution.
And it's real -- not a concept, a working machine. You step into a shallow pool of warm water, a ring of half a million sensors sends sound through your body from every angle, and ~60 seconds later you have a 3D map of your insides down to a fraction of a millimeter. No radiation, no tube, no lying still.
They're not even building it as a hospital machine -- they're building a spa. The scan is a side-effect of a place you'd want to hang out anyway.
Lastly, it is built by 9 people. NINE PEOPLE.
You can just do things.
@cursor_ai Good to have real options. The lack of real competition in version control platforms is how GitHub got to its current state. Hoping they learned that lesson and we get at least 3 solid options by fall. Also hoping they don’t die trying 🤷♂️
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
Много силна седмица за @EBelobradova 😉
Дори предлагам, след всяко грухтене на свинята от парламента, да излиза Козилата пред журналята с кратък обзор какво всъшност е искал да каже 😅
П.П. Цялото интервю е разкошно:
https://t.co/uglKILMtyR
🚀 Месечният куиз на Factcheck Bulgaria е тук! 👋 Разпознавате ли неверните твърдения онлайн? Проверете тук: https://t.co/Y3GDYlCp1i
🔍 Всеки въпрос има по един правилен отговор и води към кратко пояснение с най-важното по темата.