Lifeboat Foundation

UK-based construction technology firm Automated Architecture (AUAR) has bagged $3.2 million in funding to advance its mission to automate the construction process to solve housing-related issues.

AUAR is creating a network of dispersed micro-factories for environmentally friendly timber homes. AUAR claims that it presents an alternative vision for the built environment, in which local ecosystems comprising developers, contractors, architects, and communities are empowered to construct better homes instead of centralized automation in massive factories.

This apparent paradox has a simple yet surprising explanation, according to Meredith Whitney: Employers are finally exacting revenge on remote workers who’ve secretly had a second job.

The veteran researcher, who became known as the “Oracle of Wall Street” for her early warnings about banks before the financial crisis, is no stranger to thinking outside the box about everything from the housing market to the economy, and this theory is no exception.

But there’s evidence to support Whitney’s thesis that many of the job cuts made have been to remote positions that were filled by people working at multiple companies under the radar.

The software development sector stands at the dawn of a transformation powered by artificial intelligence (AI), where AI agents perform development tasks. This transformation is not just about incremental enhancements but a radical reimagining of how software engineering tasks are approached, executed, and delivered. Central to this shift is introducing AI-driven frameworks that transcend traditional code assistance tools, marking a leap toward more autonomous, efficient, and secure software development methodologies.

The integration of AI in software development has been confined largely to providing code suggestions and aiding in file manipulation. This approach, while beneficial, barely scratches the surface of what is technologically feasible. AI-powered tools operate within a constrained scope, missing out on Integrated Development Environments (IDEs)’ vast capabilities, such as comprehensive code building, testing, and version control operations. This limitation underscores a critical gap in the software development toolkit, where the potential for AI to contribute more profoundly to the development lifecycle remains largely untapped.

Microsoft researchers present AutoDev, which empowers AI agents to tackle a broad spectrum of software engineering tasks autonomously, from intricate code editing and comprehensive testing to advanced git operations. This framework is designed to focus on autonomy, efficiency, and security. By housing operations within Docker containers, AutoDev ensures that development processes are streamlined and secure, safeguarding user privacy and project integrity through meticulously designed guardrails.

Private space company Sierra Space has blown up its first full-scale inflatable space habitat, dubbed the Large Integrated Flexible Environment (LIFE) — and it was all part of the plan.

The balloon-like contraption, which measured just over 20 feet tall, held a third of the volume of the International Space Station once fully inflated. During a recent test, engineers at the Colorado-based company kept pumping it with air, reaching a whopping 77 psi — well above NASA’s recommended level of 60.8 psi — before it exploded in spectacular fashion.

Continue reading “Full-Scale Prototype Space Habitat Explodes Under Pressure” »

With skull parts that click together like puzzle pieces and a large central tooth, the real-life sandworm is stranger than fiction.

Amphisbaenians are strange creatures. Like worms with vertebrae, scales, a large central tooth, and sometimes small forearms, these reptiles live underground, burrowing tunnels and preying on just about anything they encounter, not unlike a miniature version of the monstrous sandworms from “Dune.”

Even though they’re found around much of the world, little is known about how amphisbaenians behave in the wild because they cannot be observed while in their natural habitat under sand and soil. But thanks to two papers published in the March issue of The Anatomical Record, new light is being shed on these animals and their specialized anatomy.

Apple announces MM1

Methods, Analysis & Insights from Multimodal LLM Pre-training.

In this work, we discuss building performant Multimodal Large Language Models (MLLMs).

Continue reading “MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training” »

The Los Angeles Police Department is warning residents that burglars are using WiFi jammers to easily disarm “connected” surveillance cameras and alarms that are available for cheap on marketplaces like Amazon.

As LA-based news station KTLA5 reports, tech-savvy burglars have been using WiFi jammers, which are small devices that can confuse and overload wireless devices with traffic, to enter homes without setting off alarms — a worrying demonstration of just how easily affordable home security devices from the likes of Ring and Eufy can be disarmed.

As Tom’s Hardware reported last month, instances of WiFi jammers being used by criminals go back several years. Jammers are not only easily available to purchase online, they’re also pretty cheap and can go for as little as $40.

“There is evidence that the youth of today blame the generations before them for the challenges that they and the planet face today,” said Mike Pickett, director of London-based Cazenove Capital, in the report.

The property broker added that housing will continue to be a focus of spending for the next generation, as those born between 1981 and 1996 may have struggled to get on the housing ladder thus far. Even at the highest end of the income ladder, growing a property portfolio is a key concern among those born between 1981 and 1996.

The study shows 23% of female ultra-high-net-worth individuals (UHNWI, valued at $30 million or above) are considering buying a home in 2024, with 21% of male UHNWI expecting to make a similar purchase this year. Wealthy Gen Zers feel the same, with 20% of those born from the mid-1990s to the early 2000s planning an acquisition.

Covariant this week announced the launch of RFM-1 (Robotics Foundation Model 1). Peter Chen, the co-founder and CEO of the UC Berkeley artificial intelligence spinout tells TechCrunch the platform, “is basically a large language model (LLM), but for robot language.”

RFM-1 is the result of, among other things, a massive trove of data collected from the deployment of Covariant’s Brain AI platform. With customer consent, the startup has been building the robot equivalent of an LLM database.

“The vision of RFM-1 is to power the billions of robots to come,” Chen says. “We at Covariant have already deployed lots of robots at warehouses with success. But that is not the limit of where we want to get to. We really want to power robots in manufacturing, food processing, recycling, agriculture, the service industry and even into people’s homes.”