VC Cafe

JANUARY 17, 2024

2023 was the year of generative AI, 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 generative AI applications across verticals. Visual generative AI made strides as well.

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VC Cafe

FEBRUARY 28, 2025

DeepSeek AI sparked a nationwide push in China to deploy its LLMs everywhere from hospitals to local governments. Microsoft unveiled the 3.8B-parameter parameter text-only Phi-4-mini and 5.6B-parameter parameter Phi-4-multimodal, claiming both outperform similar-sized models in certain tasks.

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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.

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Steve Blank

MAY 17, 2022

Adversarial attacks against AI fall into three types: Data misclassification – to generate false positive or negative results. Synthetic data generation-to feed false information. Data analysis – for AI-assisted classical attack generation. AI Attack Surfaces.

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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. Vertical AI Agents: YC wants to fund companies building AI agents that are tuned to automate specific types of work.

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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?

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VC Cafe

JANUARY 31, 2025

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.

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