AI agents are what they ingest. Rather than scraping the internet, it would be better to confine their diets to books and encyclopedias, says Sorin Adam Matei.
Category: internet – Page 63
With AI chatbots, will Elon Musk and the ultra-rich replace the masses?
Elon Musk is hyping the imminent release of his ChatGPT competitor Grok, yet another example of how his entire personality is just itself a biological LLM made by ingesting all of Reddit and 4chan. Grok already seems patterned in many ways off of the worst of Elon’s indulgences, with the sense of humor of a desperately unfunny and regressive internet troll, and biases informed by a man whose horrible, dangerous biases are fully invisible to himself.
There are all kinds of reasons to be wary of Grok, including the standard reasons to be wary of any current LLM-based AI technology, like hallucinations and inaccuracies. Layer on Elon Musk’s recent track record for disastrous social sensitivity and generally harmful approach to world-shaping issues, and we’re already looking at even more reason for concern. But the real risk probably isn’t yet so easy to grok, just because we have little understanding yet of the extent of the impact that widespread use of LLMs across our daily and online lives will have.
One key area where they’re already having and are bound to have much more of an impact is user-generated content. We’ve seen companies already deploying first-party integrations that start to embrace some of these uses, like Artifact with its AI-generated thumbnails for shared posts, and Meta adding chatbots to basically everything. Musk is debuting Grok on X as a feature reserved for Premium+ subscribers initially, with a rollout supposedly beginning this week.
Arm Cortex-M52 chip brings AI acceleration to low-power IoT devices
Why it matters: While AI algorithms are seemingly everywhere, processing on the most popular platforms require powerful server GPUs to provide customers with their generative services. Arm is introducing a new dedicated chip design, set to provide AI acceleration even in the most affordable IoT devices starting next year.
The Arm Cortex-M52 is the smallest and most cost-efficient processor designed for AI acceleration applications, according to the company. This latest design from the UK-based fabless firm promises to deliver “enhanced” AI capabilities to Internet of Things (IoT) devices, as Arm states, without the need for a separate computing unit.
Paul Williamson, Arm’s SVP and general manager for the company’s IoT business, emphasized the need to bring machine learning optimized processing to “even the smallest and lowest-power” endpoint devices to fully realize the potential of AI in IoT. Despite AI’s ubiquity, Williamson noted, harnessing the “intelligence” from the vast amounts of data flowing through digital devices requires IoT appliances that are smarter and more capable.
DARPA — robots and technologies for the future management of advanced US research | PRO Robots
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DARPA: robots and technologies for the future management of advanced US research. DARPA military robots. DARPA battle robots. Military technologies DARPA. Battle robots of the future. Technologies of the future in the US Army.
0:00 Introduction.
01:03 DARPA mission.
01:30 Project ARPANET
02:09 First “smart machine” or robot.
03:05 The first self-driving vehicles and the first Boston Dynamics robot.
03:31 DARPA robot racing.
04:08 First Boston Dynamics Big Dog four-legged robot.
04:43 Energy Autonomous Tactical Robot Program.
05:00 Engineering Living Materials Program.
05:45 Spy Beetles — Hybrid Insect Micro-Electro-Mechanical Systems.
06:03 Robot Worm — Project Underminer.
06:23 DARPA — The Systems-Based Neurotechnology for Emerging Therapies.
06:57 Robotic pilots with artificial intelligence.
07:30 Artificial Intelligence Combat Air System — Air Combat Evolution.
08:14 UNcrewed Long Range Ships — Sea Train.
09:24 Project OFFSET
10:15 Project Squad X
10:47 Battle of human robots on DARPA Robotics Challenge.
Defense Advanced Research Projects Agency, abbreviated DARPA, or the Office of Advanced Research Projects of the U.S. Department of Defense, was established in 1958, almost immediately after the launch of the USSR Sputnik-1. The realization that the Soviets were about to launch into space not only satellites, but also missiles, greatly cheered up the government of the United States. The result was the creation of a unique agency with a huge budget, which could be spent at its own discretion. Watch a selection of the most unexpected, strange and advanced projects in the field of technology and artificial intelligence DARPA in one video!
The Defense Advanced Research Projects Agency (DARPA) was established in 1958, in response to the USSR’s launch of Sputnik-1. DARPA’s mission is to create innovative defense technologies, and the agency’s projects have ranged from space-based missile shields to cyborg insects. Notably, DARPA has been involved in the creation of the internet, GPS, and Siri.
DARPA invests in projects to stimulate the development of technology and see where it leads. The agency’s first significant success was ARPANET, which laid the foundation for the modern internet. Moreover, DARPA’s computer vision, navigation, and planning techniques were fundamental to the development of robotics and web servers, video game development, and Mars rovers.
Networking nano-biosensors for wireless communication in the blood
Biological computing machines, such as micro and nano-implants that can collect important information inside the human body, are transforming medicine. Yet, networking them for communication has proven challenging. Now, a global team, including EPFL researchers, has developed a protocol that enables a molecular network with multiple transmitters.
First, there was the Internet of Things (IoT) and now, at the interface of computer science and biology, the Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and health care. The IoBNT refers to biosensors that collect and process data, nano-scale Labs-on-a-Chip that run medical tests inside the body, the use of bacteria to design biological nano-machines that can detect pathogens, and nano-robots that swim through the bloodstream to perform targeted drug delivery and treatment.
“Overall, this is a very, very exciting research field,” explained Assistant Professor Haitham Al Hassanieh, head of the Laboratory of Sensing and Networking Systems in EPFL’s School of Computer and Communication Sciences (IC). “With advances in bio-engineering, synthetic biology, and nanotechnology, the idea is that nano-biosensors will revolutionize medicine because they can reach places and do things that current devices or larger implants can’t,” he continued.
Scientists Warn That AI Threatens Science Itself
What role should text-generating large language models (LLMs) have in the scientific research process? According to a team of Oxford scientists, the answer — at least for now — is: pretty much none.
In a new essay, researchers from the Oxford Internet Institute argue that scientists should abstain from using LLM-powered tools like chatbots to assist in scientific research on the grounds that AI’s penchant for hallucinating and fabricating facts, combined with the human tendency to anthropomorphize the human-mimicking word engines, could lead to larger information breakdowns — a fate that could ultimately threaten the fabric of science itself.
“Our tendency to anthropomorphize machines and trust models as human-like truth-tellers, consuming and spreading the bad information that they produce in the process,” the researchers write in the essay, which was published this week in the journal Nature Human Behavior, “is uniquely worrying for the future of science.”
AI Companies Desperately Hiring Authors and Poets to Fix Their Crappy Writing
It’s an open secret that generative AI is terrible at coming up with original and creative writing.
In many ways, that’s to be expected, given its inherent nature — machine learning systems typically churn through the internet and remix what they’ve gobbled up, often in nonsensical or uninspiring ways.
To remedy the situation, some of Silicon Valley’s biggest AI companies are now resorting to hiring poets and writers with humanity degrees, Rest of World reports, which is an ironic twist, considering publishers have been laying off writers and editors while making big investments in generative AI.
Q&A: Professor discusses new approaches for the implementation of the quantum internet
Researchers around the world are working on a network which could connect quantum computers with one another over long distances. Andreas Reiserer, Professor of Quantum Networks at the Technical University of Munich (TUM), explains the challenges which have to be mastered and how atoms captured in crystals can help.
The idea is the same: We use today’s internet to connect computers with one another, while the quantum internet lets quantum computers communicate with one another. But in technical terms the quantum internet is much more complex. That’s why only smaller networks have been realized as yet.
There are two main applications: First of all, networking quantum computers makes it possible to increase their computing power; second, a quantum network will make absolutely interception-proof encryption of communication possible. But there are other applications as well, for example networking telescopes to achieve a previously impossible resolution in order to look into the depths of the universe, or the possibility of synchronizing atomic clocks around the world extremely precisely, making it possible to investigate completely new physical questions.