2023 Week 14 (4/2)

A Substack written in between Twitter + Substack's dispute

Links

• Musk Strips New York Times of Twitter Check Mark After Paper Refuses to Pay (Bloomberg)

• The Problem With Everything-Bagel Liberalism (NY Times Opinion)

• Trump surrenders to authorities to face criminal charges (Washington Post)

• Hype Around Weight-Loss Drugs Shows No Signs of Abating. Neither Do the Ads. (WSJ)

• Google and Amazon Struggle to Lay Off Workers in Europe (Bloomberg)

• Special Report: Tesla workers shared sensitive images recorded by customer cars (Reuters)

• The Chainsmokers Are Dancing Through the Silicon Valley Downturn (Bloomberg)

• Clarence Thomas and the Billionaire (ProPublica)

Twitter

https://twitter.com/aakashg0/status/1641976869460275201

https://twitter.com/ParkerMolloy/status/1644059950786793491

https://twitter.com/dunn/status/1644002851683704833

https://twitter.com/KHendersonCo/status/1643967344253837313

https://twitter.com/Noahpinion/status/1644194444995072002

https://twitter.com/Zeneca/status/1643965863312121861

Aakash Gupta 🚀 Product Growth Guy @aakashg0

The rise and fall of Virgin Orbit: How Richard Branson’s $3.7B SPAC turned into a space nightmare in two years. The behind-the-scenes story of today’s shocking bankruptcy filing:

Mike Solana @micsolana

genuinely do appreciate the need for thoughtful concern when it comes to AI, but in 1942 edward teller posited a single atomic blast could ignite the earth’s atmosphere, trigger a runaway fusion reaction, and turn our world into a small new sun

Paul Graham @paulg

One difference between worry about AI and worry about other kinds of technologies (e.g. nuclear power, vaccines) is that people who understand it well worry more, on average, than people who don't. That difference is worth paying attention to.

Preston Byrne @prestonjbyrne

AI is going to create 10x legal work, more lawyers. In the 70s you could do a multimillion $ deal on 15 pages because retyping was a pain in the ass. AI will allow us to cover the 1,000 most likely edge cases in the first draft and then the parties will argue over it for weeks.

Alex Su @heyitsalexsu

Some great quotes in response to the Goldman Sachs report on generative AI replacing 44% of legal tasks https://t.co/Q9UIqEYuiq

Daniel Gross @danielgross

The gap between how powerful LLMs appear to be on Twitter and how genuinely useful they are in reality is incredible. (Maybe the conclusion is that they are, in fact, very powerful because nobody bothers to actually ***read*** anymore?)

Tyler Storm @tylervstorm

I did a technical dive into Twitter’s algorithm. Here's whats you need to know about: - how the “For You” algo works - boost factors that impact reach - “dampening” detractors