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Something new washes up every time: pages from all kinds of people, made with all kinds of tools. Beachcomb shows you what it found, then gets out of the way.

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Timothy Buck

by Timothy Buck on timothybuck.meWebsite

I build AI products for billions of people as a Product Director at Meta. Before that, I brought privacy and encryption to the same scale.

Something different

Ramon Canales

by Ramon Canales on ramon.techWebsite

From customer discovery to product decisions, hands-on prototypes and measurable growth. Explore the products, teams and AI systems I have built.

From personalsit.es

Chuck Reynolds

by Chuck Reynolds on chuckreynolds.usWebsite

Chuck Reynolds works with founders, engineering leads, and go-to-market teams on products end to end: how they're built, how teams ship them, and how real people use them. Systems and process, AI enablement for teams, growth and go-to-market. Fractional and project work.

From personalsit.es

An inanimate object cannot pray.

on heresylog.comArticle

shakespeares-gm: maidthings: loveofhumanity: My new startup Psimoni will contract out cloud computing to do this at 26k ourfathers/min for just $15 a month @heresylog thoughts? An inanimate object cannot pray.

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Don’t Ask AI Unless You Know the Answer Before You Ask

by Angela A Stanton, Ph.D. on cluelessdoctors.comArticle

Image created by AI by Angela A. Stanton PhD. Most people fall into the AI trap of asking a question, and if the answer looks “OK” and, especially if it lines up with the person’s beliefs, one tends to accept … Continue reading →

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Visual Interactive Guide To The Basics Of Neural Networks

on jalammar.github.ioInteractive

Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by…

From Awesome Explorables

Bliki: LLM Voice

by Martin Fowler on martinfowler.comArticle

Sometimes when I read a post, I get the growing feeling that I'm reading the output of an LLM. I can't necessarily define why, although there are the common tells (it's not the em-dashes, it's the load-bearing tapestries). As I do this my desire to read on atrophies, sometimes to the point of…

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MindDump

by Kuber Mehta on kuber.studioArticle

Hey! Welcome to my Blog, I’m Kuber Mehta, founder of PolyThink Labs and previously TREAT (acq.) I like to build (& break) things across AI, technology, and whatever else catches ...

From Kagi Small Web

Artificial Intelligence: Ars Notoria and the Promise of Instant Knowledge

by The Public Domain Review on publicdomainreview.orgArticle

Centuries before Neo instantly mastered Kung Fu in *The Matrix*, medieval scholars found a shortcut to years of difficult study: a magical manuscript that promised to fast-track advanced learning. Anne Lawrence-Mathers investigates the *Ars notoria*, its supposed powers, and the demonic influence it…

From The Public Domain Review

He Wants AI Benchmarking To Be a Science, Not a Dark Art

by John Pavlus on quantamagazine.orgArticle

Moritz Hardt, author of a new book on benchmarks, believes these “standardized tests” for artificial intelligence are fundamentally broken — but not unfixable. The post He Wants AI Benchmarking To Be a Science, Not a Dark Art first appeared on Quanta Magazine

From Quanta Magazine

AI Proved the Quasi-Riemann Hypothesis. What Happens Now?

by Konstantin Kakaes on quantamagazine.orgArticle

Unlike other recent AI proofs, this one has been unpacked by human experts. The implications, one mathematician said, are “staggering.” The post AI Proved the Quasi-Riemann Hypothesis. What Happens Now? first appeared on Quanta Magazine

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