This post is brought to you in paid partnership with Speediance.
If you’ve been trying to figure out how to fit a squat rack and a cable machine into a spare bedroom, you probably realized quickly that traditional gym equipment takes up a massive amount of floor space. This is where digital weight systems like Speediance change the equation.
Right now, Speediance is running a massive holiday campaign where you can save up to $1,200 on their smart home gym setups. This is a direct price drop—no discount code needed for the main offer—and the savings are live from now until December 31.
The primary reason to consider a Speediance unit is the efficiency. Instead of buying hundreds of pounds of iron plates that clutter your garage, Speediance uses digital motors to generate resistance.
I’ve observed that these systems are particularly useful for people who want high-performance training without dedicating an entire room to it. You get the functionality of a cable machine, a smith machine, and a cardio rower in a footprint that is surprisingly compact. The system can fold up when you are done, giving you your living space back immediately.
Black Friday shopping often comes with the anxiety that the price might drop further in a week. Speediance is addressing this with a 60-day Price Protection Guarantee, so you can buy now without worrying about missing a better deal later in December.
On top of the discount, they are including a gift bundle with the purchase. Depending on when you buy, this includes at least two premium accessories like the Exercise Belt, Skiing Handles, or the Accessories Dock. These add-ons are worth hundreds of dollars and unlock new movements, particularly for core and conditioning work.
While the main discount applies automatically, if your order total is above $2,200, you can use the code media120 to take an extra $120 off. If you are looking to build the ultimate compact home gym for 2025, this stack of deals makes it the right time to pull the trigger.
Speediance offers a way to lift heavy without a heavy footprint. With up to 33% off, a price protection guarantee, and free accessories, this is one of the strongest fitness deals of the season.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.