The European Data Protection Supervisor (EDPS) has warned key planks of the bloc’s data protection and privacy regime are under attack from industry lobbyists and could face a critical reception from lawmakers in the next parliamentary mandate.
Any shift of approach by incoming lawmakers could have implications for the bloc’s high standard of protection for people’s data.
But he particularly highlighted industry lobbying, especially complaints from businesses targeting the GDPR principle of purpose limitation.
Wiewiórowski did not explicitly blame generative AI for driving the “strong attacks” on the GDPR’s purpose limitation principle.
So any AI-driven weakening of EU data protection laws in the near term is likely to have long term consequences for citizens’ human rights.
So he founded a startup, Symbolica AI, to do just that.
Elsewhere, a report co-authored by Stanford and Epoch AI, an independent AI research Institute, finds that the cost of training cutting-edge AI models has increased substantially over the past year and change.
With costs poised to climb higher still — see OpenAI’s and Microsoft’s reported plans for a $100 billion AI data center — Morgan began investigating what he calls “structured” AI models.
Symbolic AI solves tasks by defining symbol-manipulating rule sets dedicated to particular jobs, such as editing lines of text in word processor software.
Symbolic AI needs well-defined knowledge to function, in other words — and defining that knowledge can be highly labor-intensive.
Google Cloud on Tuesday joined AWS and Azure in announcing its first custom-built Arm processor, dubbed Axion.
Based on Arm’s Neoverse 2 designs, Google says its Axion instances offer 30% better performance than other Arm-based instances from competitors like AWS and Microsoft and up to 50% better performance and 60% better energy efficiency than comparable X86-based instances.
To be fair, though, Microsoft only announced its Cobalt Arm chips late last year, too, and those chips aren’t yet available to customers, either.
In a press briefing ahead of Tuesday’s announcement, Google stressed that since Axion is built on an open foundation, Google Cloud customers will be able to bring their existing Arm workloads to Google Cloud without any modifications.
“Through this collaboration, we’re accessing a broad ecosystem of cloud customers who have already deployed ARM-based workloads across hundreds of ISVs and open-source projects.”More later this year.
U.S. consulting firm Greylock McKinnon Associates disclosed a data breach in which hackers stole as many as 341,650 Social Security numbers.
The data breach was disclosed on Friday on Maine’s government website, where the state posts data breach notifications.
A spokesperson for the Justice Department did not respond to a request for comment.
We received confirmation of which individuals’ information was affected and obtained their contact addresses on February 7, 2024,” the firm wrote.
GMA told victims that “your personal and Medicare information was likely affected in this incident,” which includes names, dates of birth, home address, some medical information and health insurance information, and Medicare claim numbers, which included Social Security Numbers.
Hello, and welcome back to Equity, a podcast about the business of startups, where we unpack the numbers and nuance behind the headlines.
This is our Monday show, where we dig into the weekend and take a peek at the week that is to come.
Now that we are finally past Y Combinator’s demo day — though our Friday show is worth listening if you haven’t had a chance yet — we can dive into the latest news.
So, this morning on Equity Monday we got into the chance that the United States might pass a real data privacy law.
There’s movement to report, but we’re still very, very far from anything becoming law.
India’s largest audio and wearables brand BoAt is investigating a possible data breach after hackers advertised a cache of alleged customer data online.
A sample of alleged customer data was uploaded on a known cybercrime forum, which includes full names, phone numbers, email addresses, mailing addresses and order numbers.
In a statement emailed to TechCrunch, BoAt said it was investigating the matter but did not disclose specifics.
At BoAt, safeguarding customer data is our top priority,” the company said.
The brand, however, postponed its public listing plans later, after seeing a slowdown in the public market.
According to the Form S-1, the new AI governance committee includes managers from Rubrik’s engineering, product, legal and information security teams.
Here’s why having AI governance could become the new normal.
“Aside from its strategic role to devise and oversee an AI governance program, from an operational perspective, AI governance committees are a key tool in addressing and minimizing risks,” he said.
The EU AI Act has teeth, and “the penalties for non-compliance with the AI Act are significant,” British-American law firm Norton Rose Fulbright noted.
Establishing AI governance committees likely will be at least one way to try to help on the trust front.
Data transformation and optimization — tasks that many, if not most, large enterprises deal with — aren’t easy.
The result was Coalesce, a San Francisco-based company building a suite of data transformation services, apps and tools.
“The data transformation layer has long been the largest bottleneck in analytics,” Petrossian, Coalesce’s CEO, told TechCrunch.
Coalesce’s response is a platform that standardizes data while automating the more repetitive, mundane data transformation processes.
That sort of vendor lock-in could be an anathema to expansion, especially given that Coalesce isn’t the only data transformation tool vendor in town.
NoSQL database Aerospike today announced that it has raised a $100 million Series E round led by Sumeru Equity Partners.
In 2022, Aerospike added document support and then followed that up with graph and vector capabilities — two database features that are crucial for building real-time AI and ML applications.
“We were founded primarily as a real-time data platform that can work with data at really high scale, or, as we call it, unlimited scale,” Aerospike CEO Subbu Iyer said.
So our premise has held good that real-time data and real-time access to data is going to be important pretty much across every industry.
“Aerospike, with its impressive customer base and performance advantage at scale, is uniquely positioned to become a foundational element for the next generation of real-time AI applications.”
These AI startups stood out the most in Y Combinator’s Winter 2024 batchDespite an overall decline in startup investing, funding for AI surged in the past year.
So it’s not exactly surprising that AI startups dominated at Y Combinator’s Winter 2024 Demo Day.
The Y Combinator Winter 2024 cohort has 86 AI startups, according to YC’s official startup directory — nearly double the number from the Winter 2023 batch and close to triple the number from Winter 2021.
As we did last year, we went through the newest Y Combinator cohort — the cohort presenting during this week’s Demo Day — and picked out some of the more interesting AI startups.
Datacurve hosts a gamified annotation platform that pays engineers to solve coding challenges, which contributes to Datacurve’s for-sale training data sets.
