Lifeboat Foundation: Safeguarding Humanity
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In real-world attacks, “a simple scenario… would have an attacker infiltrating a manufacturing network via an RCE on an exposed IoT device then causing a production line to stop by causing a DoS on an industrial controller,” Daniel dos Santos, research manager at Forescout Research Labs, said. “Similarly, the attacker could switch off the lights of a target company by leveraging a vulnerable building automation controller.”

Many of the Name: Wreck vulnerabilities stem from DNS implementations of a protocol feature called message compression. Message compression reduces the size of DNS messages, due to DNS response packets often including the same domain name. This compression mechanism has been problematic to implement on products for 20 years, said researchers, causing issues on DNS servers, enterprise devices and, more recently, TCP/IP stacks. Forescout researchers disclosed three flaws relating to message compression during previous research into TCP/IP vulnerabilities (particularly the Ripple20 and AMNESIA:33 sets of flaws). Consequently, they hunted for other similar types of flaws in other protocol stacks.

As part of the ensuing Name: Wreck research, researchers found DNS message compression vulnerabilities in four popular TCP/IP stacks, including FreeBSD (version 12.1), IPnet (version VxWorks 6.6), NetX (version 6.0.1) and Nucleus Net (version 4.3). The most critical flaws exist in FreeBSD, popular IT software used by high-performance servers in millions of IT networks, including major websites such as Netflix and Yahoo; and in Siemens’ Nucleus NET firmware, which has been used for decades by critical OT and Internet-of-Things (IoT) devices.

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Shorthand, the Australian startup behind a no-code platform that allows publishers and brands to create multimedia stories, has raised $10 million Australian (just under $8 million U.S.) from Fortitude Investment Partners.

CEO Ricky Robinson told me via email that this is Shorthand’s first institutional round of funding, and that the company has been profitable for the past two years.

“We’ve been lucky enough to grow to where we are today through an entirely inbound, organic model that leverages the beautiful content that our customers create in Shorthand to generate leads,” Robinson wrote. “But we’ve been testing other channels with some success and the time is right to ramp up those other marketing initiatives. That’s where we’ll be spending this funding, while also investing heavily in our product to keep Shorthand at the cutting edge of storytelling innovation for the web.”

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A new way to harvest power from 5G networks could make many of the batteries that power our devices a thing of the past, researchers say.

An ATHENA group member holds an inkjet-printed prototype of a mm-wave harvester. The researchers envision a future where IoT devices will be powered wirelessly over 5G networks. (Credit: Christopher Moore/Georgia Tech)

The researchers have developed a flexible Rotman lens-based rectifying antenna (rectenna) system capable, for the first time, of millimeter-wave harvesting in the 28-GHz band. The Rotman lens is key for beamforming networks and is frequently used in radar surveillance systems to see targets in multiple directions without physically moving the antenna system.

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Electronic oscillators lie at the heart of virtually all microelectronic systems, generating the clock signals used in digital electronics and the precise frequencies that enable radio frequency (RF) sensors and communications. While an ideal oscillator provides a perfect signal at a single frequency, imperfections degrade the spectral purity of real-world components.

Such impairments, broadly quantified as phase noise, ultimately limit the performance of many military radars and commercial 5G systems. The issue is becoming increasingly burdensome as the airways become more congested and defense needs evolve.

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A few weeks back we brought word that Reddit users [derekcz] and [Xerbot] had managed to receive the 2232.5 MHz telemetry downlink from a Falcon 9 upper stage and pull out some interesting plain-text strings. With further software fiddling, the vehicle’s video streams were decoded, resulting in some absolutely breathtaking shots of the rocket and its payload from low Earth orbit.

Unfortunately, it looks like those heady days are now over, as [derekcz] reports the downlink from the latest Falcon 9 mission was nothing but intelligible noise. Since the hardware and software haven’t changed on his side, the only logical conclusion is that SpaceX wasn’t too happy about radio amateurs listening in on their rocket and decided to employ some form of encryption.

Since this data has apparently been broadcast out in the clear for nearly a decade before anyone on the ground noticed, it’s easy to see this as an overreaction. After all, what’s the harm in a few geeks with hacked together antennas getting a peek at a stack of Starlink satellites? [derekcz] even mused that allowing hobbyists to capture these space views might earn the company some positive buzz, something Elon Musk never seems to get enough of.

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SpaceX’s Falcon 9 first stage landed on the “Of Course I Still Love You” drone ship in the Atlantic Ocean on April 7, 2021 shortly after launching 60 Starlink satellites. It was the “79th recovery of a orbital-class rocket,” according to SpaceX. See the rocket launch: https://www.space.com/spacex-starlink-23-satellite-mission-launch-rocket-landing.

Credit: SpaceX

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SpaceX’s new Starlink satellite internet service is being touted as a rural internet game changer. WSJ spent time with a few beta testers in a very remote area of Washington state to see if it’s truly the solution to the global broadband gap. Photo Illustration: Laura Kammermann.

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Michael I. Jordan explains why today’s artificial-intelligence systems aren’t actually intelligent.

THE INSTITUTE Artificial-intelligence systems are nowhere near advanced enough to replace humans in many tasks involving reasoning, real-world knowledge, and social interaction. They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning. Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley.

He notes that the imitation of human thinking is not the sole goal of machine learning—the engineering field that underlies recent progress in AI—or even the best goal. Instead, machine learning can serve to augment human intelligence, via painstaking analysis of large data sets in much the way that a search engine augments human knowledge by organizing the Web. Machine learning also can provide new services to humans in domains such as health care, commerce, and transportation, by bringing together information found in multiple data sets, finding patterns, and proposing new courses of action.

“People are getting confused about the meaning of AI in discussions of technology trends—that there is some kind of intelligent thought in computers that is responsible for the progress and which is competing with humans,” he says. “We don’t have that, but people are talking as if we do.”

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The lives of infomorphs (or ‘cyberhumans’) who have no permanent bodies but possess near-perfect information-handling abilities, will be dramatically different from ours. Infomorphs will achieve the ultimate morphological freedom. Any infomorph will be able to have multiple cybernetic bodies which can be assembled and dissembled at will by nanobots in the physical world if deemed necessary, otherwise most time will be spent in the multitude of virtual bodies in virtual enviro… See More.

“I am not a thing — a noun. I seem to be a verb, an evolutionary process — an integral function of the Universe.” — Buckminster Fuller

The term ‘Infomorph’ was first introduced in “The Silicon Man” by Charles Platt in 1991 and later popularized by Alexander Chislenko in his paper “Networking in the Mind Age”: “The growing reliance of system connections on functional, rather than physical, proximity of their elements will dramatically transform the notions of personhood and identity and create a new community of distributed ‘infomorphs’ — advanced informational entities — that will bring the ongoing process of liberation of functional structures from material dependence to its logical conclusions. The infomorph society will be built on new organizational principles and will represent a blend of a superliquid economy, cyberspace anarchy and advanced consciousness.”

The new post-Singularity system will inherit many of today’s structures but at the same time will develop new traits beyond our current human comprehension. The ability of future machines and posthumans alike to instantly transfer knowledge and directly share experiences with each other will lead to evolution of intelligence from the hive ontology of individual biological minds to the global hyperconnected society of digital minds.

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