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* 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 ‘generativeAI’ in the mainstream. GenerativeAI is advancing at a breakneck speed.
2023 was the year of generativeAI, but more specifically, the year we witnessed the power and potential of LLMs, large language models. Both startups and large tech companies leaned in hard, incorporating automation tools and generativeAI applications across verticals. Visual generativeAI made strides as well.
In the early days of the Internet, we witnessed the browser wars and as technology continued to advance, we saw the number of wars, and the number of players involved in them grow. We are seeing some of this play out in the generativeAI space, where the cloud providers are active investors to attract future revenue.
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.
Speaking at TED in Vancouver last week (April 2024), Venture investor Vinod Khosla gave a talk titled “Vision for 2035-2049 “ He described a techno-utopian future powered by advances in AI, robotics, and other emerging technologies. Eliezer Yudkowsky was named one of Time’s 100 most influential people in AI last year.
In November 2022 I published a post titled “ generativeAI 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 generativeAI went mainstream The pace of advancement in generativeAI has been astounding.
The Department of Defense has thought that Artificial Intelligence is such a foundational set of technologies that they started a dedicated organization- the JAIC – to enable and implement artificial intelligence across the Department. These technologies will transform businesses and government agencies. AI in National Security.
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 generativeAI to emerging solutions in climate tech and healthcare. This is an extension of the previous list with new sources and startup requests. You can find the 2024 RFS list here.
Until now, the majority of the value in generativeAI 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?
The truth will take time to percolate, Deepseek claimed they used only 5,000 GPUs- and old ones at that and the real number is estimated at 50,000 (it’s being investigated if the chips were acquired in Singapore, side-stepping the export ban to China). It decouples visual encoding for multimodal understanding and generation.
Ron DeSantis have already used fake AI images of each other and we are still 16 months out from the vote. This is an election where the capabilities of GenerativeAI will quite simply have a massive influence. This week Sir Bob Geldof interviewed me about AI. Donald Trump and Gov.
Amazing news Alon Dror , Hamutal Meridor and team Kela Technologies on coming out of stealth with $39 million in funding ($11M seed and $28M series A ) for your Defence tech startup dedicated to protecting Israel and our Western allies! Kudos Smadar David and team Vanti on the acquisition of your knowledge modeling technology by Tray.ai
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