Gemini 1.5 Pro, Google’s most capable generative AI model, is now available in public preview on Vertex AI, Google’s enterprise-focused AI development platform.
Gemini 1.5 Pro launched in February, joining Google’s Gemini family of generative AI models.
Gemini 1.5 was incredibly able to find the specific perfect 50 dunk and details from just its long context video understanding!
Gemini 1.5 Pro doesn’t process a million tokens at the snap of a finger.
Google previously said that latency is an area of focus, though, and that it’s working to “optimize” Gemini 1.5 Pro as time goes on.
On Tuesday at the Google Cloud Next customer conference in Las Vegas, Google introduced a new AI-fueled video creation tool called Google Vids.
At Google Cloud Next, we’re unveiling Google Vids, a brand new, AI-powered video creation app for work,” Aparna Pappu, VP & GM at Google Workspace said, introducing the tool.
Examples of the kinds of videos people are creating with Google Vids include product pitches, training content or celebratory team videos.
Like most generative AI tooling, Google Vids starts with a prompt.
Along the way colleagues can comment or make changes, just as with any Google Workspace tool.
But this year, whether to foster developer goodwill or advance its ecosystem ambitions (or both), Google debuted a number of open-source tools primarily aimed at supporting generative AI projects and infrastructure.
Beyond MaxDiffusion, Google’s launching Jetstream, a new engine to run generative AI models — specifically text-generating models (so not Stable Diffusion).
“We’ve heavily optimized [the models’] performance on TPUs and also partnered closely with Nvidia to optimize performance on large GPU clusters,” Lohmeyer said.
The goal is to reduce the barrier to entry for getting generative AI models onto TPU hardware, according to Google — in particular text-generating models.
And Optimum TPU doesn’t yet support training generative models on TPUs — only running them.
Sprinto, a security compliance and risk platform, has raised a $20 million Series B round to build more automation into its compliance management platform and widen its customer base to include the wide gamut of companies that operate digitally but aren’t tech-first.
Sprinto is working to automate this aspect of security compliance management, which involves vendor risk management, vulnerability assessment, access control, evidence collection and other filing tasks.
Sprinto uses a mix of AI, GPTs and its own internal large language model to offer efficiencies in compliance management.
The market for automated compliance management solutions already has players such as Vanta and Drata, which Sprinto considers its key competitors.
However, Redekar said Sprinto primarily focuses on automating the entire compliance management process and helping businesses build trust.
The company has bought Searchlight, a startup and recruitment platform that uses artificial intelligence-based technology to source talent.
The plan will be to use Searchlight’s tech to build new AI products for Multiverse to expand its professional training services.
After that, the plan will be to wind down Searchlight’s recruitment services as they focus on Multiverse’s business.
Some people will use AI to speed up what they do; others will claim that AI is taking over certain jobs altogether.
“From the start, Anna and Kerry have been thoughtful about building Searchlight’s AI models to complement their vision,” Keith Rabois, who led the Series A, said in a statement provided to TechCrunch.
The tech world is incredibly focused on AI and its applications today, but artificial intelligence is hardly the only place where progress is being made.
If you want to get really into the weeds, pay attention to the progress that quantum computing is making, as made evident recently by an announcement from Microsoft and Quantinuum.
The pair of companies made what TechCrunch described as a “major breakthrough in quantum error correction,” which could make quantum computing systems far more usable than before.
The gist is that they encoded several physical qubits into a single logical qubit, which made it easier to detect and correct errors.
The error rate in quantum computing is a material issue to the technology’s performance, making the news that the two companies managed “run more than 14,000 experiments without a single error” pretty big news.
Microsoft has announced a new London hub for its recently unveiled consumer AI division.
It will be fronted by Jordan Hoffmann, an AI scientist and engineer Microsoft recently picked up from high-profile AI startup Inflection AI, which Microsoft invested in last year.
The news comes some three weeks after Microsoft CEO Satya Nadella unveiled a new consumer AI division headed up by Inflection AI’s founders, which include Mustafa Suleyman — co-founder of Deepmind, the AI company Google acquired in 2014.
At the time, Nadella said that “several members of the Inflection team” also joined Microsoft’s new AI unit (Bloomberg reported that most actually joined).
In a blog post today, Suleyman calls Hoffmann an “exceptional AI scientist and engineer,” and with Suleyman himself reporting directly to Nadella in the U.S., Hoffmann will take charge of the new London unit.
Spotify already found success with its popular AI DJ feature, and now the streaming music service is bringing AI to playlist creation.
The company on Monday introduced AI playlists into beta, a new option that allows users to generate a playlist based on written prompts.
In terms of the technology, Spotify says it’s using large language models (LLMs) to understand the user’s intent.
A pop-up menu appears showing the AI Playlist as a new option alongside the existing “Playlist” and “Blend” options.
Ahead of AI playlists, Spotify launched a similar feature, Niche Mixes, that allowed users to create personalized playlists using prompts, but the product did not leverage AI technology and was more limited in terms of its language understanding.
Heya, folks, welcome to Week in Review (WiR), TechCrunch’s newsletter recapping the noteworthy happenings in tech over the past several days (and change).
Famed startup accelerator Y Combinator had its Demo Days, and the venture desk took it all in with an appropriately skeptical eye.
Also this week, Microsoft and Quantinuum, a quantum computing startup, made a scientific breakthrough — or so they claim.
NewsCanoo paid for its CEO’s jet: Kirsten reports that EV startup Canoo paid the rent for the CEO’s private jet — $1.7 million— in 2023.
Bonus roundNSFW on X: The social media company has confirmed that authorized users on the platform can create NSFW communities, ahead of a change that’ll see all NSFW content on X filtered by default.
The AI boom, love it or find it to be a bit more hype than substance, is here to stay.
That means lots of companies raising oodles of dollars, a healthy dose of regulatory concern, academic work, and corporate jockeying.
For startups, it means a huge opportunity to bring new technology to bear on a host of industries that could use a bit of polish.
But if you read the news, you might notice that men are the far and away most cited, and discussed players in AI today.
So, TechCrunch’s Dominic-Madori Davis and Kyle Wiggers decided to go out and talk to women working in AI to learn more about their work, how they got into the world of artificial intelligence, and more.
