Cities, cycles and San Francisco’s ‘return’ • TechCrunch

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Cities, cycles and San Francisco’s ‘return’ • TechCrunch


Welcome to Startups Weekly, a nuanced tackle this week’s startup information and developments by Senior Reporter and Equity co-host Natasha Mascarenhas. To get this in your inbox, subscribe right here.

“San Francisco is back!”

“It never left.”

“It’s been long dead.”

They’re all takes, none notably good, but all insinuating a level of self-importance that you simply, of all folks, know when a metropolis’s coronary heart is pulsing in a means that ought to rely.

To me, San Francisco, regardless of all of the transience and frustration it’s been identified to be related to, feels prefer it by no means left. It’s too simplistic to consider that cities can depart our lives, disappear from tradition or bid away relevance. I’m not saying that San Francisco didn’t legit have a mass exodus with empty storefronts and workplace buildings — that may be very a lot a factor that occurred. But individuals are slowly trickling again: According to Vox, citing LinkedIn knowledge, “over the last 12 months, San Francisco has seen the second-biggest worker population gain of any area in the United States.”

It’s been felt. It feels good to listen in on conversations and listen to folks speaking in regards to the future, to see bookstores stuffed till shut and to have a full schedule of networking occasions and completely satisfied hours. I’m continuously reuniting with folks I’ve solely identified over Twitter DMs and bumping into folks — an “I’ve lived here” milestone I’ve solely dreamt of. Maybe it’s simply the best way I’ve been experiencing San Francisco, nevertheless it feels just like the extra social power round us is much less cocky, extra current. Like, sure, there’s an enormous hype cycle round AI and I believe individuals are flocking to Hayes Valley for some motive, however from the smattering of founders I’ve had espresso with recently? They appear extra targeted on constructing than getting lined in TechCrunch pre-product. Maybe I’m simply fortunate, however I really feel just like the SF that’s again feels extra grounded, much less boastful.

It makes me assume: Cities by no means depart our lives, they merely train us classes about cyclic moments, transient friendships and the way group may be fickle.

If you take pleasure in this article, it’s best to take a look at my private weblog too! In the remainder of this article, we’ll speak about pitch deck teardowns and synthetic intelligence.  As all the time, you may observe me on Twitter or Instagram, the place I sadly don’t submit in regards to the demise of this metropolis.

A Pitch Deck Teardown to start out

It by no means hurts to be reminded that it’s essential to eat your greens — and that’s my lazy introduction into Haje Jan Kamps’ newest Pitch Deck Teardown on Spinach.io. Heh. As a reminder, this collection features a walk-through of startup pitch decks that features areas of strengths, the place there could possibly be enhancements and witty evaluation all all through.

Read your complete evaluation right here and keep in mind: If you need your individual pitch deck teardown featured on TC+, right here’s extra data. Also, take a look at all our Pitch Deck Teardowns and different pitching recommendation, all collected in a single useful place for you!

The follow-up

As with each hype cycle, accountability and transparency is required. TC’s Dominic-Madori Davis has written a pair of tales how the factitious intelligence growth is sitting with traditionally underfunded minorities. There’s excellent news, and there’s unhealthy. Let’s begin with the great: First, women-founded AI startups are seeing a lift in VC funding. Heck sure. At the identical time, the work is just not achieved — bias continues to look all by way of AI, from investments VCs make to the merchandise that founders are constructing.

Here’s why that is essential, in Davis’ phrases: “Discussions about diversity are more important than ever as AI enters a new golden era. Every new technology that appears seems to be accompanied by some harrowing consequence. So far, AI has contributed to racist job recruiting tactics and slower home approval rates for Black people. Self-driving cars have trouble detecting dark skin, making Black people more likely to be hit by them; in one instance, robots identified Black men as being criminals 9% more than they did white men, which would be put under a new light if judicial systems ever [began] adopting AI.”

3D rendered classic sculpture Metaverse avatar with network of low-poly glowing purple lines. Machine learning and artificial intelligence concept. Animated 3D NFT artwork example. Web 3.0 technology background.

Image Credits: salihkilic / Getty Images

Etc., and so on.

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Chat subsequent week,

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