Lifeboat Foundation: Safeguarding Humanity
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Prepare to have your mind blown by Elon Musk’s latest creation: TruthGPT! In this ground-breaking video, we delve into the mind-boggling potential of an AI-powered language model, which has sent shockwaves throughout the AI industry.

TruthGPT is Elon Musk’s idea, a highly advanced and groundbreaking language model that aspires to push the veracity and accuracy of AI-generated material to the forefront. It is intended to address the misinformation, fake news, and biassed narratives that afflict our digital environment. Musk’s goal with TruthGPT is to construct an AI that can present information objectively, factually, and without personal prejudice.

TruthGPT has sent shockwaves through the AI sector with its unmatched capabilities. It has astounded industry experts, researchers, and even competitors. This YouTube video analyses the AI community’s emotions and responses, demonstrating the disbelief and excitement sparked by Elon Musk’s latest creation.

You may be asking, as a ChatGPT user, if TruthGPT is a direct rival to this popular language paradigm. While both models aim to generate human-like prose, their approaches differ. ChatGPT is intended to engage in interactive conversations by giving a variety of responses and information depending on its training data. TruthGPT, on the other hand, places a strong emphasis on assuring accuracy, fact-checking, and unbiased information distribution.

Continue reading “Elon Musk’s INSANE New TruthGPT STUNS The Entire AI Industry! | ChatGPT Competitor?” | >

Attackers are increasingly targeting vulnerable developer laptops to infiltrate production systems without directly attacking them, warned cloud security expert Lee Atchison.

Instead of waiting for an application to become fully functional, hackers target the development process used to bring an application to a state of operation, Atchison said, speaking at a recent Uptycs-sponsored Cybersecurity Standup, “Castles in the Sky – Secure Your App Dev Pipeline From Laptop to Cloud.”

“We focus so much attention on keeping data and cloud data centers secure. But we haven’t realized that all of this technology feeds into the data centers and that one of the primary drivers of that is developers, the source code they develop, and the machines that they develop the source code on,” Atchison said. “Those DevOps machines feed into the production systems but have nowhere near the level of protection behind them that the production data centers do.”

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Summary: As artificial intelligence (AI) evolves, its intersection with neuroscience stirs both anticipation and apprehension. Fears related to AI – loss of control, privacy, and human value – stem from our neural responses to unfamiliar and potentially threatening situations.

We explore how neuroscience helps us understand these fears and suggests ways to address them responsibly. This involves dispelling misconceptions about AI consciousness, establishing ethical frameworks for data privacy, and promoting AI as a collaborator rather than a competitor.

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Italian fashion start-up Cap_able has launched a collection of knitted clothing that protects the wearer’s biometric data without the need to cover their face.

Named Manifesto Collection, the clothing features various patterns developed by artificial intelligence (AI) algorithms to shield the wearer’s facial identity and instead identify them as animals.

Cap_able designed the clothing with patterns – known as adversarial patches – to deceive facial recognition software in real-time.

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Architecture studio Snøhetta has released photos showing how its underwater restaurant, Under, has become covered in marine life since reaching completion in Norway three years ago.

Located in the remote Lindesnes area, the 495-square-metre structure is submerged off of a craggy shoreline and now doubles as an artificial reef.

The Norwegian studio designed Under as a concrete tube that is intended to resemble a sunken periscope. The concrete was left exposed externally, forming a rough finish onto which algae and molluscs can latch.

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Biologists usually define ‘life’ as an entity that reproduces, responds to its environment, metabolizes chemicals, consumes energy, and grows. Under this model, ‘life’ is a binary state; something is either alive or not.

This definition works reasonably well on planet Earth, with viruses being one notable exception. But if life is elsewhere in the universe, it may not be made of the same stuff as us. It might not look, move, or communicate like we do. How, then, will we identify it as life?

Arizona State University astrobiologist Sara Walker and University of Glasgow chemist Lee Cronin think they’ve found a way.

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Data science has been around for a long time. But the failure rates of big data projects and AI projects remain disturbingly high. And despite the hype, companies have yet to cite the contributions of data science to their bottom lines.

Why is this the case? In many companies, data scientists are not engaging in enough of softer, but more difficult, work, including gaining a deep understanding of business problems; building the trust of decision makers; explaining results in simple, powerful ways; and working patiently to address concerns among those impacted.

Managers must do four things to get more from their data science programs? First, clarify your business objectives and measure progress toward them. Second, hire data scientists best suited to the problems you face and immerse them in the day-in, day-out work of your organization. Third, demand that data scientists take end-to-end accountability for their work. Finally, insist that data scientists teach others, both inside their departments and across the company.

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