The YouTube Algorithm, Explained Scientifically https://t.co/T3YwmwToeC
— /MachineLearning (@slashML) Jun 25, 2022
from Twitter https://twitter.com/slashML
June 25, 2022 at 11:27AM
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The YouTube Algorithm, Explained Scientifically https://t.co/T3YwmwToeC
— /MachineLearning (@slashML) Jun 25, 2022
Real-life implementation of the Traveling Salesman Problem🍻 https://t.co/GhqUsYel5i
— /MachineLearning (@slashML) Jun 25, 2022
YC W22's @Koko is a nonprofit providing free digital mental health interventions to millions of people online, especially young people: https://t.co/Df9lhQ4XFZ
— Y Combinator (@ycombinator) Jun 23, 2022
Future wars will be at the intersection of technology and geopolitics. Great read about technology and the global struggle for Power 💥 @jacobhelberg @rabois https://t.co/YYPoXYiFvp
— Yagiz Sozmen (@yagizsozmen) Jun 23, 2022
Going from being a feature to a product to a platform with products is the most important evolution for any startup over the long run. The sequence matters tremendously, and you have to resist skipping over any of the steps.
— Aaron Levie (@levie) Jun 23, 2022
It was great speaking with @mduboe about the top 5 @solana projects on his radar. Read about them @BusinessInsider (no paywall!) https://t.co/gezz1d1muO
— April Joyner (@aprjoy) Jun 22, 2022
X-Plane 12 Flight Model Update – Supersonic Transition, Delta Wings and Mass https://t.co/u5Gk8VySB6 (https://t.co/rfGfgYtSLX)
— Hacker News 200 (@newsyc200) Jun 22, 2022
China is building a new modern marvel. It's not a dam or a high speed rail, it's the most sophisticated domestic surveillance system in the world. The scale of data collection is staggering. No biometric frontier is neglected. This is how it works: https://t.co/JsjaNDrPW3
— Paul Mozur 孟建國 (@paulmozur) Jun 21, 2022
Read this before you spend $1 on advertising https://t.co/DKIJvYeDSG
— Ray 🏴🇹🇭 (@bkkray) Jun 19, 2022
Interesting news from TSMC. FinFlex coming to N3 allowing combining of FIN blocks. https://t.co/SAFBA7bChR
— Ben Bajarin (@BenBajarin) Jun 16, 2022
This by @tomkrazit w/ Target CIO in 2021 describing how and why $TGT moved off of $AMZN is freaking incredible "Instead of an application developer worrying about how many cores they need, I wanted them to focus on writing features and functions" 🧵 https://t.co/gUVGbFeyte
— Shomik Ghosh 🇺🇦 (@shomikghosh21) Jun 16, 2022
https://t.co/uadgxHZ6X1
— Arun Shastri (@arunshastri) Jun 16, 2022
How Amazon entices creators to join its Influencer Program, which began in 2017 and pays a commission for generated sales, by flying them to resorts and more (@annierpalmer / CNBC) https://t.co/3dJHI47oV6 https://t.co/OxOTVx6IJO
— Techmeme (@Techmeme) Jun 13, 2022
[New Post] The Cloud Killed Infra, Long Live Infra! The application first moved to the cloud Now it's outgrowing it And vertical clouds are signaling a new era of software infra Blog post here, key points below:👇 https://t.co/YreLQUn9eC
— martin_casado (@martin_casado) Jun 9, 2022
https://t.co/NXPH9Dz4Nl
— Archillect (@archillect) Jun 8, 2022
@patrick_oshag More innovation: M2 is 5nm with 20 billion transistors — 25% more than M1. 18 percent faster CPU, and 35 percent faster GPU. 100Gbps of memory bandwidth and 24GB of unified memory a 50% lift. TFP is broken and archaic. https://t.co/dxYeBIoiRP
— Tren Griffin (@trengriffin) Jun 7, 2022
Xerox PARC’s engineers on how they invented the future and Xerox lost it (1985) https://t.co/lVbjFcmDhG (https://t.co/h8FDXlyj7x)
— Hacker News 200 (@newsyc200) Jun 5, 2022
Read @nikogrupen's two-part series on augmented intelligence for @future here: https://t.co/f4wM6SkXZz https://t.co/9GVQjFWYvh
— a16z (@a16z) Jun 4, 2022
There are now more than 1,300 billion-dollar private companies on The Crunchbase Unicorn Board for the first time, with the addition of dozens of new entrants last month. #unicorns https://t.co/rNLB3aiawg https://t.co/5l8yzKy8pv
— Crunchbase News (@crunchbasenews) Jun 4, 2022
What a mess! https://t.co/1yw7brypOW
— Futurism (@futurism) Jun 4, 2022
@patrick_oshag Below is a CRISPR timeline. Many people were involved with a lot of standing on the shoulders of others happening. Teams around the globe contributed (all interconnected by networks/software).https://t.co/3hAJiJikhn https://t.co/R3nw6UUwgq https://t.co/zRkihjIZqt
— Tren Griffin (@trengriffin) Jun 4, 2022
How will Affirm perform in a downturn? Will our risk management hold up in a recession? This was the topic at our earrings — I offer my expanded thoughts here: https://t.co/rJ3G6selkl
— Max Levchin (@mlevchin) Jun 3, 2022
Models gone bad = major business issue If AI is going to be deployed at scale, it needs to be trusted and explainable Great chat with @krishnagade, CEO of leading AI monitoring platform @fiddlerlabs [Video/transcript]. Watch and learn! #DataDrivenNYC https://t.co/DyDgXQYIPu
— Matt Turck (@mattturck) Jun 2, 2022