VC Cafe

FEBRUARY 6, 2025

New details about the real costs of training the model (much higher) and the source of the data (distilled from OpenAI against the T&Cs) are slowly surfacing, but it’s clear that Chinese AI startups are here to stay. The company claims its AI models rival those of top U.S. Let’s dig in to the main players.

China 97

China Artificial Inteligence ChatGPT Generative AI 97

VC Cafe

JANUARY 10, 2024

In November 2022 I published a post titled “ generative AI will go mainstream when it goes from playful to useful “, and I think you will agree that this transition is in full swing. 2023 was the year generative AI went mainstream The pace of advancement in generative AI has been astounding.

Generative AI 109

Generative AI Israel Artificial Inteligence Open Source 109

Steve Blank

MAY 17, 2022

You succeed in convincing one company and a government to adopt computers and learn to code much faster than their competitors /adversaries. But they herald a sea change in what computers are capable of doing, how they do it, and what hardware and software is needed to do it. Classic Computers – Software Updates, New Features.

Artificial Inteligence 425

Artificial Inteligence Software Review Algorithm Technical Review 425

VC Cafe

FEBRUARY 6, 2025

It’s only been a bit over a month since the start of 2025 past year has witnessed seismic shifts in technology, from breakthroughs in generative AI to emerging solutions in climate tech and healthcare. The aim is to create a marketplace that fosters smarter apps while ensuring user privacy.

Software Review 78

Software Review Technical Review Startup Software Engineering 78

VC Cafe

APRIL 26, 2023

* 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.

Generative AI 78

Generative AI Artificial Inteligence ChatGPT Israel 78

VC Cafe

MARCH 6, 2025

Until now, the majority of the value in generative AI has been captured by the infrastructure layer: foundational models (LLMs), the cloud providers and the hardware infrastructure/ data centres. However now, the AI landscape is undergoing a significant shift, prompting a crucial question: Where will the future value of AI accrue?

Technical Review 88

Technical Review Vertical Open Source Generative AI 88