Next year, I will give one of my SpaceX shares to every kid in America. This will be the first of many.

Holy smokes

BREAKING: Hackers remotely defrost refrigerators at hundreds of French supermarkets, causing massive food spoilage.

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.

Terence Tao just published a 27 slide deck saying the AI math hype only shows you the wins.. every week you see a new post.. AI solved an open math problem.. Tao says that feed hides most of the story.. the failed attempts never get posted.. the compute bill never gets posted.. and most frontier problems are STILL unsolved.. then he went further.. blindly chasing more solved problems is now hurting math.. open problems were never the goal.. they were lighthouses.. the real value was everything mathematicians learned on the way there.. let AI jump straight to the answer and the whole journey disappears.. in 1976 Appel and Haken proved the four color theorem using a computer.. and many mathematicians refused to accept it because no human could check it by hand.. 50 years later the fear has flipped.. the computer is right.. but nobody understands WHY.. so Tao asks you one question.. if an AI cured cancer and passed every trial.. would you inject it before a single human understood how it works.. you spent centuries thinking math was about answers.. answers are now cheap.. understanding is the new scarce thing

Ledger is investigating reports of loss of funds from users in South East Asia who purchased products from a reseller named CryptoBillis. As a precaution, and pending the results of our investigation, we have asked CryptoBilis to pause all sales and shipments of Ledger devices. We recommend Ledger users who purchased from this reseller in the last 90 days to not initiate set up if you have not done so yet. If you have set up your Ledger device, consider moving assets to a new Ledger signer (with new seed). We will continue to inform customers of updates as the investigation progresses. Reach out to Ledger customer support through official channels with any questions: support.ledger.com/

God is dead But it’s not my fault Eve has no shame again Lip stain for sale on my tik tok shop I take off my clothes And i do my makeup Love without intimacy Look but don’t touch .. are you looking?

apefest next week return to monke