No Notes: Close to Excellent Posts on AI Ruining the Public Internet, Silicon Valley Etiquette, the Worry of a Second Success, and +++ [Link Blog]

No Notes. Just a few chef’s kiss, on-target reads

Encore Anxiousness [Anu Atluru/Working Theorys] – Great learn on the stress to succeed a second time. Oh please, some would possibly concern troll, however I’ve witnessed this in tech careers. Most regularly with (a) repeat founders who worry their subsequent firm will fail and show their preliminary win was a fortunate fluke, and (b) youthful of us who ending up becoming a member of an early stage rocketship out of college and as soon as it succeeds past their expectations, worrying they’ll by no means discover one other. As Anu writes,

Impostor syndrome will get all the eye, however encore anxiousness is its merciless foil: not the worry that you simply’re a fraud, however the worry that you simply’re real and nonetheless may not have the ability to show it. The distinction in attribution issues to the dominant psychology at play: the impostor fears their previous success was luck; the encore-anxious particular person believes it was ability and but fears they will’t summon it once more at will.

Both approach, there’s a give attention to what others are pondering.

Ultraviolet Disaster: AI is about to make the general public web ineffective [Philip Rosedale/Philip’s Newsletter] – You would possibly assume this submit is about enterprise mannequin incentives pushing high quality content material behind paywalls or disincentivizing its creation all-together, however it’s truly about belief and malignant AI content material (fraud, slop, and so on). Philip believes the amount will likely be so vital that we’ll must rethink the structure of the online itself. His abstract paragraph:

AI is in regards to the flood the web with messages and render it ineffective for a lot of duties. To scale to billions in a world crammed with AI brokers able to typing 1000 occasions sooner that us means an entire overhaul of our getting old web structure. We should flip off nameless public companies, changing addresses with channels – or within the language of graphs – changing nodes with edges. There will likely be turbulence throughout this course of, so fasten your seat belt and discover some good books to learn through the down-time.

Silicon Valley Etiquette [Angelo/Parallel Lines] – This was a very fascinating sociological view of SV etiquette and the historical past of those norms. I hope we’re capable of proceed maintaining the perfect points of our neighborhood, whereas reexamining how we additionally unintentionally (and deliberately) create boundaries.

The Editorial Battles That Made The New Yorker [Jill Lepore/The New Yorker] – Skip this for those who’re not a writing/inventive course of egghead like me. However for individuals who are, it is a nice tour by way of the New Yorker’s editorial philosophy historical past and the way it conflicted with (or helped) the writers they contracted for articles.

Inside Residence Depot’s $20 Billion Secret Backyard [Ben Cohen/Wall Street Journal] – Residence Depot doesn’t simply inventory flowers and vegetation, it very a lot works hand-in-hand with growers, shaping what will get grown, what genetic attributes to optimize, and finally, what will get delivered to market.

To seek out these vegetation, Residence Depot runs 25 trial gardens in 9 local weather zones throughout the U.S. and research them within the area below quite a lot of circumstances. In spite of everything, a plant that thrives in New Mexico may not survive in New Jersey. For safety functions, a few of these experimental gardens are hidden in cornfields or by way of yard donkey corrals, protected on secret farms earlier than the vegetation are chosen and patented.

A Word on the State of Applicant Fraud [Matt Hoffman/M13] – Recruiting is altering dramatically due to AI – the LLMs now polish resumes, generate excellent responses, and in some instances, even create the candidates themselves. Some early knowledge and the way truly AI may additionally be the answer from Matt Hoffman, VC agency M13’s expertise companion.