Generative AI is the buzziest new technology in Silicon Valley. Meet the investors backing it.
Independent AI investor Allie K. Miller

Generative AI is the buzziest new technology in Silicon Valley. Meet the investors backing it.

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Generative AI is suddenly everywhere. 

The buzzy subset of artificial intelligence – which refers to AI that can create anything from text, images and videos to even code – has recently exploded in popularity.

Much of it is because of startups like Cresta, Adept AI Labs, Stability AI and Jasper, who have emerged at the forefront of building applications tailored to this new class of language model, and have notched eye-popping valuations during an otherwise lackluster funding environment.

But also backing them are investors from a number of venture capital firms. While investment in artificial intelligence has slowed in 2022 versus last year, firms including Insight Partners, Madrona Venture Group and Sequoia Capital said that they continue to prioritize generative AI.

Here are five venture capitalists to know who are spearheading investments in generative AI. Note that this list, by no means, is exhaustive. 

Gaurav Gupta, Lightspeed Venture Partners

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Key investments: Stability AI, Circle Labs

Why he’s bullish on generative AI: Lightspeed Venture Partners was part of the recent $101 million financing round of Stability AI, the open-source generative AI company that took the world by storm with the release of Stable Diffusion, its text-to-image model similar to OpenAI’s DALL-E.

Gupta said investing in the company was a no-brainer given how accessible it makes generative AI for everyone due to its open-sourced nature – something that’s important because of Lightspeed’s fundamental belief that generative AI can one day change a broad spectrum of industries.

“We’re just on the cusp of what’s possible,” he told LinkedIn News. “This technology can one day be used by everybody, and even be a part of enterprise SaaS softwares.”

Sonya Huang, Sequoia Capital

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Key investments: Glean, Hugging Face, Streamlit

Why she’s bullish on generative AI: Huang is a bit of a mini-celebrity in the generative AI world. She organized the burgeoning space in a market map that groups together companies tackling similar aspects to make sense of the landscape, which went viral.

She’s unabashedly bullish on the promise of generative AI because she believes that not only has the technology reached maturity, but it’s also starting to deliver results.

“Machines used to be good at rote labor – picking and packing and predicting spam – but they couldn’t do what we as humans are good at, like writing, talking, communicating and visuals,” she said. “What’s different about the current iteration of large language models is they’re good enough to replace or augment knowledge work and creative work. Machines are just starting to get good at thinking, understanding, and creating sensical and beautiful things.”

George Mathew, Insight Partners

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Key investments: Jasper, Deepdub.ai, Weights & Biases, Tonic.ai, Fiddler AI

Why he’s bullish on generative AI: With his background as an operator (he took the data science company Alteryx public), Mathew knows a thing or two about scaling. And that’s what makes generative AI hot for him.

Generative AI is scaling fast because of huge progress in transformer models – which are AI models that can infer context and thus meaning by tracking relationships in sequential data. That means what was not possible until recently is suddenly possible now, he said.

“What you're seeing with transformer-based models now is that as you keep applying more data, the model continues to profoundly get better,” he said. 

Matt McIlwain, Madrona Venture Group

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Key investments: OthersideAI, RelationalAI

Why he’s bullish on generative AI: Madrona has been investing in what McIlwain dubbed as the broader category of “intelligent applications” for a while now. And he doesn’t anticipate slowing down any time soon. In fact, he anticipates 50% of its investments next year to be in the intelligent applications and generative AI space.

That’s because advances in natural language processing have given rise to transformer-based foundation models like OpenAI’s GPT-3 and Stable Diffusion – on top of which a slew of new companies and applications can be built, he said.

“These applications are reducing the friction to leverage the underlying models and produce something entirely new, versus just getting a recommendation,” he said. “It’s like Netflix creating a whole new film based on your preferences, versus just surfacing recommendations based on your preferences.”

Allie K. Miller, independent investor

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Key investments: Hebbia AI, OthersideAI, Sanasai

Why she’s bullish on generative AI: As the former global head of machine learning for startups and venture capital at Amazon (AWS), it was Miller’s job to be able to predict the top trends in AI. And spoiler alert: Generative AI is one of the biggest, she says.

While the last decade of AI has focused on producing use cases that are personalized and predictive, the next five years will expand to be proactive as well – and generative AI and large language models sit at the foundation of this progress, Miller said.

“Everything will be personalized to us (from video content to driving routes), we will glean better insights out of hidden data (from nutrition decisions to climate change forecasting), and we will take action before the decision point (from pre-shipping items we need to pre-solving manufacturing defects),” she said.

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Nuno Edgar Nunes Fernandes

Physics Engineer. Science & Technology/Business Development Networking/Deeptech Entrepreneur

1y

Awesome! 🙂

Ibrahim Bavai Rogers

Community Health Officer(CHO) at Ministry of Health/Sierra Leone

1y

Great

Max A.

DevOps/Cloud Infra Support Engineer | MA-1ACE-2BC Security License NSW

1y

Fascination is a strong sentiment but we shouldn't ignore the dark side of the fancy picture on the wall.

Like
Reply
Tal Friedman

FOLDSTRUCT-CEO/ Contech/Proptech expert- International keynote- +20K followers

1y

Indeed. Generative AI is transforming our world. If you‘d like to learn how it transforms the physical construction world, follow FOLDSTRUCT. More affordable, sustainable and efficient buildings are clicks away. This revolution will not only affect digital services, but the $14TR building sector.

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