23andMe To Lay Off 40% of Its Workforce, Discontinue All Therapy Programs

The genetic testing company 23andMe announced it will cut 40% of its workforce, or 200 jobs, and halt the work on therapies it was developing. As the BBC notes, the company is fighting for survival after hackers gained access to personal information of millions of its users, causing the stock to crater by more than 70%. All seven of its independent directors also resigned in September, following a protracted negotiation with founder and Chief Executive Anne Wojcicki over her plan to take the company private. The BBC reports: On Tuesday, the company warned investors of "substantial doubt" about its ability to continue operating, as it reported that revenue had fallen to $44 million between July and September compared to $50 million in the same period last year. Losses fell to $59 million from $75 million. The job cuts are expected to lead to one-off costs of $12 million, including severance pay, for the plan that will result in savings of $35 million. "We are taking these difficult but necessary actions as we restructure 23andMe and focus on the long-term success of our core consumer business and research partnerships," Ms Wojcicki said. The company also said it is considering what to do with the therapies it had in development, including licensing or selling them. 23andMe is a giant of the growing ancestor-tracing industry. It offers genetic testing from DNA, with ancestry breakdown and personalised health insights. Its customers include famous names, from rapper Snoop Dogg to multi-billionaire investor Warren Buffett. The company was valued at roughly $3.5 billion when it listed on the Nasdaq stock exchange in 2021 and its share price peaked at $17.65. But they have since tumbled and are currently trading at less than $5. Read more of this story at Slashdot.

Open Source Project DeFlock Is Mapping License Plate Surveillance Cameras All Over the World

An anonymous reader quotes a report from 404 Media: Flock is one of the largest vendors of automated license plate readers (ALPRs) in the country. The company markets itself as having the goal to fully "eliminate crime" with the use of ALPRs and other connected surveillance cameras, a target experts say is impossible. [...] Flock and automated license plate reader cameras owned by other companies are now in thousands of neighborhoods around the country. Many of these systems talk to each other and plug into other surveillance systems, making it possible to track people all over the country. "It went from me seeing 10 license plate readers to probably seeing 50 or 60 in a few days of driving around," [said Alabama resident and developer Will Freeman]. "I wanted to make a record of these things. I thought, 'Can I make a database of these license plate readers?'" And so he made a map, and called it DeFlock. DeFlock runs on Open Street Map, an open source, editable mapping software. He began posting signs for DeFlock (PDF) to the posts holding up Huntsville's ALPR cameras, and made a post about the project to the Huntsville subreddit, which got good attention from people who lived there. People have been plotting not just Flock ALPRs, but all sorts of ALPRs, all over the world. [...] When I first talked to Freeman, DeFlock had a few dozen cameras mapped in Huntsville and a handful mapped in Southern California and in the Seattle suburbs. A week later, as I write this, DeFlock has crowdsourced the locations of thousands of cameras in dozens of cities across the United States and the world. He said so far more than 1,700 cameras have been reported in the United States and more than 5,600 have been reported around the world. He has also begun scraping parts of Flock's website to give people a better idea of where to look to map them. For example, Flock says that Colton, California, a city with just over 50,000 people outside of San Bernardino, has 677 cameras. People who submit cameras to DeFlock have the ability to note the direction that they are pointing in, which can help people understand how these cameras are being positioned and the strategies that companies and police departments are using when deploying them. For example, all of the cameras in downtown Huntsville are pointing away from the downtown core, meaning they are primarily focused on detecting cars that are entering downtown Huntsville from other areas. Read more of this story at Slashdot.

Bitcoin Pushes Past $90,000

After setting a record high yesterday, Bitcoin continued its remarkable rally, briefly surging past the $90,000 mark. Since Election Day, the cryptocurrency has gained nearly 30%, adding approximately $20,000 to its value. From a previous report: Bitcoin hit a peak of $90,000 on Coinbase at 12:56 PST on Nov. 12 and is up 11% over the past day, per TradingView data. The cryptocurrency is now just over 11% away from reaching $100,000. Read more of this story at Slashdot.

Red Hat is Acquiring AI Optimization Startup Neural Magic

Red Hat, the IBM-owned open source software firm, is acquiring Neural Magic, a startup that optimizes AI models to run faster on commodity processors and GPUs. From a report: The terms of the deal weren't disclosed. MIT research scientist Alex Matveev and professor Nir Shavit founded Somerville, Massachusetts-based Neural Magic in 2018, inspired by their work in high-performance execution engines for AI. Neural Magic's software aims to process AI workloads on processors and GPUs at speeds equivalent to specialized AI chips (e.g. TPUs). By running models on off-the-shelf processors, which usually have more available memory, the company's software can realize these performance gains. Big tech companies like AMD and a host of other startups, including NeuReality, Deci, CoCoPie, OctoML and DeepCube, offer some sort of AI optimization software. But Neural Magic is one of the few with a free platform and a collection of open source tools to complement it. Neural Magic had so far managed to raise $50 million in venture capital from backers like Andreessen Horowitz, New Enterprise Associations, Amdocs, Comcast Ventures, Pillar VC and Ridgeline Ventures. Read more of this story at Slashdot.

The US Has a Cloned Sheep Contraband Problem

Federal authorities are grappling with the aftermath of an illegal sheep cloning operation that has scattered hundreds of contraband hybrid animals across multiple states, following the sentencing of the scheme's mastermind. Montana rancher Arthur Schubarth received a six-month prison term for cloning a near-threatened Marco Polo argali sheep from tissue illegally imported from Kyrgyzstan. The cloned animal, named Montana Mountain King, was used to inseminate over 100 ewes, creating a network of unauthorized hybrid offspring. Court documents reveal that Schubarth sold these hybrids to big game hunting enthusiasts, with prices reaching $10,000 per animal. While the original cloned sheep is now housed at New York's Rosamond Gifford Zoo, authorities cannot account for most of its descendants. Read more of this story at Slashdot.

Growth of AI Adoption Slows Among US Workers, Study Says

The percentage of workers in the U.S. who say they are using AI at work has remained largely flat over the last three months, according to a new study commissioned by Slack. From a report: If AI's rapid adoption curve slows or flattens, a lot of very rosy assumptions about the technology -- and very high market valuations tied to them -- could change. Slack said its most recent survey found 33% of U.S. workers say they are using AI at work, an increase of just a single percentage point. That represents a significant flattening of the rapid growth noted in prior surveys. Global adoption of AI use at work, meanwhile, rose from 32% to 36%. Between the lines: Slack also found that globally, nearly half of workers (48%) said they were uncomfortable telling their managers they use AI at work. Among the top reasons cited were a fear of being seen as lazy, cheating or incompetent. Read more of this story at Slashdot.