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But the tech giant's play underscores the market's demand for tech talent — and venture capitalists expect a wave of "acquihires" to hit the AI ecosystem later this year. M&A dealmaking among AI startups is already off to a strong start this year, with 55 exits recorded in Q1 of 2024, per Crunchbase data. AdvertisementThe majority of AI startups are overpriced, said Konstantin Vinogradov, general partner at Runa Capital. AI startups with revenue in the single-digit millions that raised money at unicorn valuations, Dash said, might not even have that option. Those deals don't make sense for buyers, he said, which could lead Big Tech companies or other AI startups to poach their talent instead.
Persons: , Inflection's, Ayangar, Konstantin Vinogradov, Somesh Dash, overshadowing, Shmuel Chafets, Sivesh Sivakumar, Shaun Johnson, Naveen Rao, Sivakumar, Johnson, PhotoRoom, Aravind Srinivas, Mike Smeed, Chafets, Dash, they'll Organizations: Service, Microsoft, Business, Investors, Runa, Big Tech, Apple, Target, Ventures, Accenture, Boston Consulting Group, Intuit, Nike, American Express, Safeway, InMotion Ventures, Disney, Netflix Locations: OpenOcean, Snowflake, Databricks
In particular, it beat OpenAI's GPT 3.5, a model that was released two years earlier, an eternity in AI years. This new, leaner model will cost users only 35 cents per million tokens, compared with $7 per million for the Gemini 1.5 Pro model. But it remains to be seen if state-of-the-art is actually a good business model. said the founder and CEO of one seed-stage startup that's training new AI models, "but then, you know, as businesses, what you also want to do is what is good enough." As AI models get bigger and gobble up more money and computing resources, there are often diminishing returns in terms of performance.
Persons: , Databricks, Ali Ghodsi, Ghodsi, Claude, it'll, Morgan Stanley, Martin Kon, Kon, OpenAI Organizations: Service, Business, Companies, Google, Gemini, Microsoft, Apple
Share Share Article via Facebook Share Article via Twitter Share Article via LinkedIn Share Article via EmailDatabricks CEO discusses the use cases of its new open-source large language modelAli Ghodsi, co-founder and CEO of Databricks, explains what's behind DBRX.
Persons: Ali Ghodsi Locations: DBRX
Databricks, a cloud-based data software company, launched a new AI model on Wednesday — and the company says it's faster, cheaper, and more efficient than its larger competitors. The model, called DBRX, comes at a time of fierce competition in the generative AI field. DBRX, available as open source, is the culmination of the company's $1.3 billion purchase of AI startup MosaicML last July, as many of its staffers helped build DBRX. Also, the entire DBRX model has 132 billion parameters, the company said. Ghodsi told BI that a team at Databricks was responsible for filtering copyrighted material from the data used to train DBRX.
Persons: , Ali Ghodsi, Elon Musk's, Databricks, Ghodsi, Patrick Wendell, Wendell, Naveen Rao Organizations: Service, Business, Google, Microsoft Locations: San Francisco ., Databricks
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