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Generative AI – The End of Empty Textboxes

TechEmpower

If you’ve ever used a similar application, (or if you’ve ever used the Internet at all) you’ve probably seen this approach before. TechEmpower can help In the era of LLMs and Generative AI, empty textboxes are a product mistake. And if you’re like most people, you’ve also probably struggled to fill those boxes in.

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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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Generative AI and the exponential growth of content

VC Cafe

Generative AI now has the potential to exponentially grow the quantity of content created. Articles, ads, images, videos, voice, graphs, 3D objects, music, scientific papers… all can be created today with AI. Base10 includes 300 startups in their generative AI landscape (source).

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Generative AI: Incumbents vs. Upstarts

VC Cafe

There’s an interesting thing happening in the generative AI world. More and more, established companies are leaning into generative AI by either adding generative AI features to their existing suite of tools or partnering with AI companies (mostly OpenAI or the open source HuggingFace) to launch entirely new products.

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AI, Blockchain, Web 2.0, and Self Driving Cars

View from Seed

The most common analogies I’ve been considering with the current wave of generative AI are blockchain, self-driving cars, and Web 2.0. Blockchain There are a lot of similarities between this era of generative AI and the Blockchain. The stark difference between crypto and AI lies in their use cases.

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Requests for Startups in 2024

VC Cafe

Andreessen Horowitz Consumer Team Opportunities for startups I’m a big fan of the content A16Z has been publishing on generative AI over time. Artificial Intelligence – Scaling global intelligence and redefining work: AI training costs should continue to fall 75% per year. trillion by 2030.

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Playing With Fire – ChatGPT

Steve Blank

(Researchers believe this tipping point is result of the complex interactions between the neural network architecture and the massive amounts of training data it has been exposed to – essentially everything that was on the Internet as of September 2021.) Until recently these rules have kept most biological lab accidents under control.

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