TechEmpower
NOVEMBER 13, 2023
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. This isn’t just our opinion - our startup metrics prove it! TechEmpower can help In the era of LLMs and Generative AI, empty textboxes are a product mistake.
VC Cafe
MARCH 1, 2024
Most startups equate the process of fundraising to dating – founders have to typically kiss a lot of frogs until the find the right fit. Climate tech – We have a fair chance of avoiding catastrophic climate change if startups offer commercial solutions to decarbonize society or remove carbon from the atmosphere.
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View from Seed
SEPTEMBER 8, 2022
It’s become a cliche in our technology startup world: disruptive technologies start as toys and are dismissed as such. So we are now at the dawn of Generative AI. It can also be used to generate 3-D models from 2-D images, or to turn sketches into detailed photos. ” source. It’s great for newspapers.
VC Cafe
MAY 23, 2023
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.
View from Seed
JANUARY 31, 2024
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.
VC Cafe
DECEMBER 7, 2022
The fields that generative AI addresses—knowledge work and creative work—comprise billions of workers. Generative AI can make these workers at least 10% more efficient and/or creative: they become not only faster and more efficient, but more capable than before. Sequoia, Generative AI: A Creative New World.
Steve Blank
APRIL 4, 2023
(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.) Other economists are just realizing the ripple effect that this technology will have.
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