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Here's the thing, as someone who sees themself both in ad tech & as a privacy advocate: Advertisers who seek personalized targeting will focus on platforms with the most personal data: Facebook & Google. But I don't believe the status quo of ad targeting is the only future of it.


The idea that advertisers will walk away from platforms that don't provide personalized targeting simply doesn't hold up. Advertisers buy posters and billboards and TV ads and lots of other things that don't promise the accuracy of web advertising...

Further, the promise of that accuracy has mostly been false. Year after year after year we see that ad products that promise perfect accuracy and tracking don't work, are giving false results, are proving entirely ineffective, or have unexpected negative brand impact...

Also, the one thing we've learned for sure about advertising on the web is that advertisers will try all sorts of things and look towards outcomes. This includes bad things that fail...


This includes things that don't work at all, but still end up costing millions of dollars.
Ever think that Robot-robots are cooler than Meat-robots? Yeah, I know. I am weird like that. 😐🖖🏽

Humanity; possibly the biological boot loader for digital superintelligence. - @elonmusk


This was a difficult book to get through and hard to absorb in a single read. But this book explains in detail how artificial superintelligence will eventually arise and what are the works that being done. It's also a fascinating walkthrough of what intelligence really is.


This year has been wild with so many things happening in a news cycle it's just really crazy and hard to keep track off. I mean think about it, from pandemic to trump to Islamist, to black lives matter and climate change and so many more things than I can fit into this tweet.

But if was to pick 1 thing that will have the most lasting impact on humanity into perpetuity would be that of developments in AI that has happened silently in the background without most people ever noticing it.

The most important of which is that of GPT3, a language learning model that has the capacity of 175 billion machine learning parameters, beating previous efforts by GPT2 (mid year) and also a model by Microsoft by 10x (February) all within this year. The growth is exponential.
Tube Time: a 2020 retrospective 🧵


i started off the year by releasing a new Micro Channel sound card, the Plaid Bib CPLD edition. little did i know that this would not be the only sound card i would release this


later, i took apart my apple II and found a capacitor inside. and inside that through-hole capacitor, i found a tiny surface mount


at my favorite electronics surplus store (the only one left in silicon valley!) i found an incredibly cute computer, and fixed it up and got it


in february, i played with some tone reeds, an unusual electronic component.
Today, 10 years ago, I launched BetaList 🤯

Since then we've…

🚀 Featured 15,000+ startups
💖 Reviewed 70,000+ submissions
😘 Welcomed 100,000+ registered users
💰 Generated almost $1M in revenue

⬇️ THREAD

📅 It all started as a way to get publicity for an iPad app me and my friends were working on.

In 2010 it was hard to get press coverage as a bootstrapped startup.

This lead me to create "
https://t.co/jL3uUNmhzx" (the .com was taken)


📢 TechCrunch (@alexia) wrote an article on it.

Back then, getting featured on TechCrunch was the equivalent of hitting #1 on Product

✍️ Couple years after, I wrote the origin story with the clickbait-title:

How I Tricked TechCrunch Into Writing About My Startup

Ironically it gained 60K views and drove even more visits than the TechCrunch article. Check it out for the full

💰 I didn't intend to monetize BetaList when I started.

But when established companies started asking how to get featured, I offered them paid advertising slots instead. Starting at $50/week and continuously doubling the price until they said no.

Today it's $1,500/week.