Max Cembalest @maxcembalest
Math, AI, working on a new tool, trying to explain logarithms as well as possible Prev @nomic_ai @ItsArthurAI, MS @HarvardGSAS, teacher @ALAcademy nyc Joined September 2014-
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This is a great question. Without getting formal, you could also ask yourself: When one doesn't know the value of a derivative or an integral, how easy it is to measure the error of a guess? It seems my own sense of error is more acute for slopes than areas. Why? Fewer bits?
This is a great question. Without getting formal, you could also ask yourself: When one doesn't know the value of a derivative or an integral, how easy it is to measure the error of a guess? It seems my own sense of error is more acute for slopes than areas. Why? Fewer bits?
Saw an ad for this armaggedonist book on the NYC subway. The problem I have is that it feels like a self-justifying argumentative tactic to defend arguments by saying you are trying to prevent something from armaggedoning everyone. It doesn't mean your arguments are good
I suppose two different kinds of logs convert multiplicative work to additive work 1) logs meaning the chronological data storage primitive 2) logs meaning the logarithm function (not converting M x N into M+N, but converting a product into a sum, since log(m*n)=log(m)+log(n))
I suppose two different kinds of logs convert multiplicative work to additive work 1) logs meaning the chronological data storage primitive 2) logs meaning the logarithm function (not converting M x N into M+N, but converting a product into a sum, since log(m*n)=log(m)+log(n)) https://t.co/Aw3s6Vov0C
When I started building EmailEngine five years ago, my ICP was niche CRM companies. In the last 12 months though almost every fresh sign-up is an AI company, not a CRM. Apparently, AI teams need inbox access, too, whether it’s for training models, fine-tuning, or who knows what
Making sure my followers know the Hungarian method for laying out matrix multiplication I was taught this by Dávid Szeszlér in Budapest in 2016. He said it is insane we are not taught matrix multiplication this way in the west I love Budapest. And I also love da big apple 🍎
"Every creative act can be seen as fact." - W. B. Yeats (A Vision, 1925) "I set out to write a book about what to do to make a great work of art. Instead, it revealed itself to be a book on how to be." - R. Rubin (The Creative Act, 2023)
gpt-oss-20b-GGUF gives a nice fast answer to a math question I like that OSS models used to get very wrong
gpt-oss-20b-GGUF gives a nice fast answer to a math question I like that OSS models used to get very wrong https://t.co/DJ6WXdfcRa
Beware documentation that uses AI Many sites deploy AI in their documentation that is weeks or months behind the most basic information Here's searching for gpt-5 in @OpenRouterAI ("GPT-5 has not been publicly released") vs googling for openrouter gpt-5 ("GPT-5 is now live")
Inspired by Ian Fraizer and Douglas Hofstader I am trying to approach this question by comparing robots wih pigeons a pigeon limping with a hurt foot or snagged in a wire is experiencing qualia more than, for example, a robot animal writhing on the floor in the image of pain
Inspired by Ian Fraizer and Douglas Hofstader I am trying to approach this question by comparing robots wih pigeons a pigeon limping with a hurt foot or snagged in a wire is experiencing qualia more than, for example, a robot animal writhing on the floor in the image of pain https://t.co/byNsgFIBYw
Let 'symbological mutation' be a process that arrives at a token sequence or symbol arrangement by exploring the space of all possible token sequences or symbol arrangements. This abstracts 'text', 'diffusion', etc. away from work meant to flip symbols until meaning transmits.
https://t.co/nv6CguKndg
Introducing the new Gemini AWD (All Waymo Drive) Oh the places you’ll prompt yourself to go
this is not a helpful response from claude
this is not a helpful response from claude
This but now its about 1. loss of a model 2. load balance of a network 3. latency of an api x.com/tszzl/status/1…
This but now its about 1. loss of a model 2. load balance of a network 3. latency of an api x.com/tszzl/status/1…
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