PVML is offering an interesting solution by combining a ChatGPT-like tool for analyzing data with the safety guarantees of differential privacy.
It’s much easier, faster and more efficient — and our secret sauce, differential privacy, enables this integration very easily.”Differential privacy is far from a new concept.
The team argues that today’s data access solutions are ineffective and create a lot of overhead.
The promise of using differential privacy means that PVML’s users don’t have to make changes to the original data.
“That’s a taste of things to come, and organizations who adopt AI today will be a step ahead tomorrow.
Elon Musk is planning to charge new X users a small fee to enable posting on the social network and to curb the bot problem.
Earlier this month, X said that the platform was starting a major purge of spam accounts, warning users that their follower count might be affected.
However, with a plan to charge new users, the social media company seemingly aims to tackle the bot problem better.
Earlier this month, xAI made its Grok chatbot available to Premium users of X, who pay $8 per month.
Last week, Fortune reported that X plans to make Grok available to users to compose posts.
And more AI companies are receiving investments than ever before, with 1,812 AI startups announcing funding in 2023, up 40.6% versus 2022, according to the Stanford HAI report.
“There’s been a more deliberate approach by investors in evaluating AI investments compared to a year ago.
According to a PitchBook report compiled for TechCrunch, VCs invested $25.87 billion globally in AI startups in Q1 2024, up from $21.69 billion in Q1 2023.
Despite the general malaise within AI investor circles, generative AI — AI that creates new content, such as text, images, music and videos — remains a bright spot.
“We’ll soon be evaluating whether generative AI delivers the promised efficiency gains at scale and drives top-line growth through AI-integrated products and services,” Kumar said.
Offered as an answer of sorts to OpenAI’s Sora, Google’s Imagen 2 and models from the growing number of startups in the nascent generative AI video space, Adobe’s model — a part of the company’s expanding Firefly family of generative AI products — will make its way into Premiere Pro, Adobe’s flagship video editing suite, sometime later this year, Adobe says.
Like many generative AI video tools today, Adobe’s model creates footage from scratch (either a prompt or reference images) — and it powers three new features in Premiere Pro: object addition, object removal and generative extend.
The lack of release time frame on the video model doesn’t instill a lot of confidence that it’ll avoid the same fate.
And that, I’d say, captures the overall tone of Adobe’s generative video presser.
Adobe’s clearly trying to signal with these announcements that it’s thinking about generative video, if only in the preliminary sense.
UK-based legaltech company Lawhive, which offers an AI-based in-house ‘lawyer’ through a software-as-a-service platform targeted at small law firms, has raised £9.5 million ($11.9M) in a seed round to expand the reach of AI-driven services for ‘main street’ law firms.
To date, most legaltech startups that are deploying AI have concentrated on the big, juicy market of ‘Big Law’ — meaning large, either country-wide or global, law firms that are keenly pushing AI into their workflows.
These include Harvey (US-based; raised $106M); Robin AI (UK-based; raised $43.4M); Spellbook (Canada-based; raised $32.4M).
Lawhive targets its platform at small law firms or solo lawyers running their own shop.
That’s a very small number of big law firms in the US in the UK.
OpenAI is expanding to Japan, with the opening of a new Tokyo office and plans for a GPT-4 model optimized specifically for the Japanese language.
Japan is the current G7 chair and President of the G7’s Hiroshima AI Process, an initiative to promote AI safety, including stronger AI governance.
EnterprisingAs president of OpenAI Japan, Nagasaki will be tasked with building a local team on the ground to double down on OpenAI’s business in the country.
OpenAI says ChatGPT is also being used by local governments to “improve the efficiency of public services in Japan.”ChatGPT has long been conversant in multiple languages, including Japanese.
For now, OpenAI is giving early access to the GPT-4 custom model to some local businesses, with access gradually opened up via the OpenAI API “in the coming months.”
Today, four out of 10 Formula 1 teams use an evolution of that same technology.
However, where Formula 1 cars rely on 1,000-horsepower hybrid V6 engines, Baqué’s first practical application of the technology was human-powered.
At its core, NCS helps engineers avoid potential aerodynamic pitfalls while pushing them into directions they might not have considered.
NCS will then dig into its neural network to suggest improvements or modifications, possible paths in a 3D game of choose-your-own-adventure.
But like in most sports, success is cyclical for Formula 1 teams, and right now, Williams is very much in a rebuilding phase.
Prominent generative AI startups in healthcare include Ambience Healthcare, which is developing a generative AI app for clinicians; Nabla, an ambient AI assistant for practitioners; and Abridge, which creates analytics tools for medical documentation.
The broad enthusiasm for generative AI is reflected in the investments in generative AI efforts targeting healthcare.
Collectively, generative AI in healthcare startups have raised tens of millions of dollars in venture capital to date, and the vast majority of health investors say that generative AI has significantly influenced their investment strategies.
But both professionals and patients are mixed as to whether healthcare-focused generative AI is ready for prime time.
Generative AI might not be what people wantIn a recent Deloitte survey, only about half (53%) of U.S. consumers said that they thought generative AI could improve healthcare — for example, by making it more accessible or shortening appointment wait times.
Vana plans to let users rent out their Reddit data to train AI A startup, Vana, says it wants users to get paid for training dataIn the generative AI boom, data is the new oil.
“It does this by allowing users to aggregate their personal data in a non-custodial way … Vana allows users to own AI models and use their data across AI applications.”Here’s how Vana pitches its platform and API to developers:The Vana API connects a user’s cross-platform personal data … to allow you to personalize your application.
This month, Vana launched what it’s calling the Reddit Data DAO (Digital Autonomous Organization), a program that pools multiple users’ Reddit data (including their karma and post history) and lets them to decide together how that combined data is used.
We have crunched the numbers and r/datadao is now largest data DAO in history: Phase 1 welcomed 141,000 reddit users with 21,000 full data uploads.
“Reddit does not share non-public, personal data with commercial enterprises, and when Redditors request an export of their data from us, they receive non-public personal data back from us in accordance with applicable laws.
This week in Las Vegas, 30,000 folks came together to hear the latest and greatest from Google Cloud.
What they heard was all generative AI, all the time.
Google Cloud is first and foremost a cloud infrastructure and platform vendor.
From Google’s perspective, the company has built generative AI tools to more easily help data engineers build data pipelines to connect to data sources inside and outside of the Google ecosystem.
Executives, IT pros, developers and others who went to GCN this week might have gone looking for what’s coming next from Google Cloud.
