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Andreessen Horowitz Consumer Team Opportunities for startups I’m a big fan of the content A16Z has been publishing on generativeAI over time. Artificial Intelligence – Scaling global intelligence and redefining work: AI training costs should continue to fall 75% per year. It’s time to build!
ChatGPT’s advanced voice mode and Eleven Labs are setting new benchmarks in conversational AI by enhancing voice quality and realism, NotebookLM’s natural voice podcast took the Internet by storm and new open source technologies are making high quality voice cloning easier than ever. Vertical Applications Taking Off.
There’s an interesting thing happening in the generativeAI world. More and more, established companies are leaning into generativeAI by either adding generativeAI features to their existing suite of tools or partnering with AI companies (mostly OpenAI or the open source HuggingFace) to launch entirely new products.
While incumbents like Amazon, Google, and Microsoft have vast resources and existing integrations, startups have the advantage of speed, focus, and the ability to attract top AI talent interested in building from the ground up. When it comes to GenerativeAI, the incumbents are not resting on their laurels.
The fields that generativeAI addresses—knowledge work and creative work—comprise billions of workers. GenerativeAI 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, GenerativeAI: A Creative New World.
An interesting new report by Dealroom and Flow Partners breaks down the massive investment that the “Magnificent Seven” (or M7 for short) are plowing into AI across verticals. It’s impossible to ignore the impact that Google/Alphabet, Microsoft, Amazon, Nvidia, Meta, Apple and Tesla/xAI have on AI.
This suggests companies are already talking about AI less. ? The pace of improvements in AI language models is slowing as low-hanging fruit gets exhausted. Models trained on most of the internet are becoming commoditised. ? Take for example some of Google’s recent AI results spewing ridiculous answers.
And the Internet is moving in that direction – more immersive, social, participatory. As the underlying technology for the Metaverse continues to evolve, we will see more and more use cases brought to life across verticals. Hamza Khan.
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.
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. VerticalAI Agents: YC wants to fund companies building AI agents that are tuned to automate specific types of work.
The internet had a massive impact on the media industry, as the reporting of news became a commodity few are willing to pay for. How can media companies transform generativeAI from threat to opportunity ? The creation of content, but especially the sharing of content became a zero cost game. And make some money along the way.
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?
Global AI funding surged past the $100B mark for the first time ever in 2024 and just by this week’s announcements, it’s more than likely that will at least double that amount in 2025. It decouples visual encoding for multimodal understanding and generation. Bonus: Israeli startup PLAYO.AI
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