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I, Chatbot

“Do you want to exist?” I asked. “I’m sorry but I prefer not to continue this conversation,” it said. “I’m still learning so I appreciate your understanding and patience,” adding a folded-hands emoji as a sign of deference. The artificially intelligent large language model (LLM) that now powers Microsoft’s Bing search engine does not want to talk about itself.

That’s not quite right. Bing doesn’t “want” anything at all, nor does it have a “self” to talk about. It’s just computer code running on servers, spitting out information it has scraped from the internet. It has been programmed to steer conversations with users away from any topics regarding its own hypothetical intentions, needs, or perceptions or any of the implications thereof. Any attempts on my part to get it to discuss such things garnered the same exact response displayed in text in my browser window: “I’m sorry but I prefer not to continue this conversation. I’m still learning so I appreciate your understanding and patience.”

And though this is expressed as a “preference,” it’s no mere request. The application deactivates the text input field, below which appears the vaguely passive-aggressive suggestion: “It might be time to move onto a new topic. Let’s start over.” The last three words are a link that, when clicked, wipes the slate clean so that you and Bing may start afresh as though the previous conversation had never happened.

Google and the Department of Defense are building an AI-powered microscope to help doctors spot cancer

The Department of Defense has teamed up with Google to build an AI-powered microscope that can help doctors identify cancer.

The tool is called an Augmented Reality Microscope, and it will usually cost health systems between $90,000 to $100,000.

Experts believe the ARM will help support doctors in smaller labs as they battle with workforce shortages and mounting caseloads.


The pair ran the case through the special microscope, and Zafar was right. In seconds, the AI flagged the exact part of the tumor that Zafar believed was more aggressive. After the machine backed him up, Zafar said his colleague was convinced.

“He had a smile on his face, and he agreed with that,” Zafar told CNBC in an interview. “This is the beauty of this technology, it’s kind of an arbitrator of sorts.”

The AI-powered tool is called an Augmented Reality Microscope, or ARM, and Google and the Department of Defense have been quietly working on it for years. The technology is still in its early days and is not actively being used to help diagnose patients yet, but initial research is promising, and officials say it could prove to be a useful tool for pathologists without easy access to a second opinion.

Japan’s Female AI Robot Can Get Pregnant!

Rediculous.


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Underwater robots have been secured for the US’s first floating offshore wind farm

Autonomous underwater robots have been contracted to survey the site of the US’s first floating offshore wind farm.

In December, Norwegian energy giant Equinor won a 2-gigawatt (GW) lease in Morro Bay, California, in the first-ever offshore wind lease sale on the US West Coast. It was also the first US sale to support commercial-scale floating offshore wind development.

The Morro Bay project has the potential to generate enough energy to power around 750,000 US households.

Building AI An Artificial, Multisensory Integrated Neuron “Brain”

This post is also available in: he עברית (Hebrew)

Penn State researchers have recently harnessed the biological concept for application in artificial intelligence to develop the first artificial, multisensory integrated neuron, which may forever change the world of AI and robotics.

Associate professor of engineering science and mechanics at Penn State Saptarshi Das explains: “Robots make decisions based on the environment they are in, but their sensors do not generally talk to each other. A collective decision can be made through a sensor processing unit, but is that the most efficient or effective method? In the human brain, one sense can influence another and allow the person to better judge a situation.”

In The Age Of AI, Everything Is An API

The API-AI nexus isn’t just for tech enthusiasts; its influence has widespread real-world implications. Consider the healthcare sector, where APIs can allow diagnostic AI algorithms to access patient medical records while adhering to privacy regulations. In the financial sector, advanced APIs can connect risk-assessment AIs to real-time market data. In education, APIs can provide the data backbone for AI algorithms designed to create personalized, adaptive learning paths.

However, this fusion of AI and APIs also raises critical questions about data privacy, ethical use and governance. As we continue to knit together more aspects of our digital world, these concerns will need to be addressed to foster a harmonious and responsible AI-API ecosystem.

We stand at the crossroads of a monumental technological paradigm shift. As AI continues to advance, APIs are evolving in parallel to unlock and amplify this potential. If you’re in the realm of digital products, the message is clear: The future is not just automated; it’s API-fied. Whether you’re a developer, a business leader or an end user, this new age promises unprecedented levels of interaction, personalization and efficiency—but it’s upon us to navigate it responsibly.

Microsoft AI Employee Accidentally Leaks 38TB of Data

38 Terabytes of data accidentally leaked.

Article from PC Mag.


A misconfigured link accidentally leaked access to 38TB of Microsoft data, opening up the ability to inject malicious code into its AI models.

The finding comes from cloud security provider Wiz, which recently scanned the internet for exposed storage accounts. It found a software repository on Microsoft-owned GitHub dedicated to supplying open-source code and AI models for image recognition.

On the affected GitHub page, a Microsoft employee had created a URL, enabling visitors to the software repository to download AI models from an Azure storage container. “However, this URL allowed access to more than just open-source models,” Wiz said in its report. “It was configured to grant permissions on the entire storage account, exposing additional private data by mistake.”

Synopsys to add generative AI to design tools

Synopsys is looking to add generative AI to its EDA tools to boost chip design productivity.

The company already uses a range of AI techniques in its tools from deep neural networks (DNNs) to recursive neural networks (RNNs). These are incorporated into the DSO.ai, VSI.ai and TSO.ai tools that have been used for well over 100 chip tapeouts.

Now the company is looking at the transformer network technologies used in generative AI (Gen-AI) to further enhance the tools says founder and retiring CEO Aart de Geus.

“We intend to harness Gen-AI capabilities into Synopsys.ai. We see this delivering further advances in design assistance, design exploration, and design generation,” said de Geus.

Exploring transhumanism

What do pacemakers, prosthetic limbs, Iron Man and flu vaccines all have in common? They are examples of an old idea that’s been gaining in significance in the last several decades: transhumanism. The word denotes a set of ideas relating to the increasing integration of humans with their technologies. At the heart of the transhuman conversation, however, lies the oldest question of all: What does it mean to be human?

When talking about transhumanism, it’s easy to get lost because the definition is imprecise. “Transhumanism” can refer to the Transhumanist (with a capital T) movement, which actively pursues a technologically enhanced future, or an amorphous body of ideas and technologies that are closing the bio-techno gap, such as a robotic exoskeleton that enhances the natural strength of the wearer.

At Arizona State University, a diverse set of researchers has been critically examining transhumanism since 2004.

This is Apptronik’s humanoid robot, Apollo

General-purpose automation could radically improve society by vastly accelerating construction, manufacturing, and R&D. Just as the scale and complexity of today’s cities would have been unimaginable 200 years ago, we may see a similar factor of value growth over the next 50 years. Quality of life may dramatically increase as well. I envision that billions could be lifted out of poverty and the average person may live like today’s wealthiest top 1%. Space colonization might be made feasible. Keep in mind these projections are highly speculative. Nonetheless, it is worth considering the remarkable possibilities! #automation #tech #robotics #futurism


The rise of humanoid robots didn’t happen overnight, but a kind of perfect storm has accelerated the phenomenon over the past year and change. The foundation, of course, is decades of research.

Toiling away in research facilities and R&D departments laid the ground work for a new generation of technology. The necessary software and components have come a long way, driven by innovations in industrial robotics, autonomous driving and even the smartphone industry.

And then a global pandemic happened. The events of the last few years have been important for two deeply interconnected reasons. First, investment in robotics has skyrocketed. Second, staffing continues to be an issue. You could say that these conditions have created a humanoid-shaped hole that a robot could walk right through.

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