Remove 2019 Remove Generative AI Remove Technical Review
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The ever growing Israeli Generative AI landscape April 2023

VC Cafe

* Originally published on Calcalist , April 20 2023 Since the day ChatGPT was introduced in November 2022, it has become the fastest growing consumer product, putting the words ‘generative AI’ in the mainstream. Generative AI is advancing at a breakneck speed.

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18 years of VC Cafe

VC Cafe

Reflecting on this journey, the tech world was a completely different landscape back then. I’ve written on the VC boom (when money was cheap and due diligence was minimal) to the major reckoning that followed and we’re still yet to see its full impact. Thank you for your support.

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The Art of Non-Consensus Investing: Unlocking Venture Capital’s Hidden Gems

VC Cafe

Non-consensus investments , on the other hand, are those that defy popular opinion or seem risky due to unconventional business models, unproven markets, or early market entry. That led us to start investing in generative AI in 2019 (consider that ChatGPT only came out in November 2022, that’s pretty early).

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Emerging Manager Mode: The VC’s version of “Do things that don’t scale”

VC Cafe

They look at founders as their customers, and the best emerging managers will roll up their sleeves and do candidate reviews, pitch deck assistance and bespoke BD for startups, and personalised updates for LPs. The focus on entertainment tech meant that we always cared about content creation, distribution and monetisation.

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Textio’s Founder Kieran Snyder on the Two Advantages Startups Have in AI (While Remaining Skeptical Of The Funding Gold Rush)

Hunter Walker

We had initially wanted to begin with a performance review product or a more conventional marketing product, but we started off in recruiting for very practical reasons: 1) We cared about the problem and 2) We were pretty sure we were going to win. Today, you’d look at Textio and say it’s an HR Tech company.

Cofounder 108
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Why Marketers Should Start Integrating AI Into Their Work

Duct Tape Marketing

7:44] What mistakes do you see people making when it comes to using AI technology? [9:04] 9:04] What are some tips to get the best end product when using AI? [10:18] 10:18] What are some of the end use cases really going to be with images in AI? [12:07] 12:07] What technology is driving all of the image creation? [13:22]