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The company is offering rewards ‘for exceptional discoveries’.

OpenAI, the creator of conversational chatbot ChatGPT, has announced a Bug Bounty program where users can report “vulnerabilities, bugs, or security flaws” and be financially rewarded for finding them. The company has announced rewards ranging from $200 to $20,000 depending on the severity of the flaw and teamed up with a popular bug-finding platform to streamline the process.

OpenAI’s ChatGPT has ushered in a race for artificial intelligence (AI) models that provide comprehensive solutions to user queries and can even simulate intriguing imagery with the help of a few text prompts.

Sestovic/iStock.

While the technology is advancing at a breathtaking pace and producing some mind-boggling results, there are also concerns about these products’ safety. AI researchers like Stuart Russell have warned that unchecked, the rise of AI could result in a Chernobyl-like incident for the tech industry.

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It’s not unusual for a company to try and innovate on an existing products or technology, but robotics firm Flexiv promises that its massaging robot won’t be like the mechanical massagers of the past.

Robotic or mechanical messagers are hardly a new idea, but a robotics firm called Flexiv is hoping that its new robot masseuse will succeed where others have succeeded at becoming a novelty at best and an embarrassing disaster at worst.

Announced earlier this week on its website, Flexiv is debuting its Rizon 4 robot which has been developed to enable a fully automatic massage experience.

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To analyze the human player’s brain, the team designed a cap with over 100 electrodes mounted on a backpack-sized device.

A one-of-a-kind study documents how a human brain reacts when playing table tennis against a robotic opponent.

Scanning the brain activity with electrodes.

Frazier Springfield.

This study by the University of Florida scientists provides intriguing insights into human brain activity. The findings revealed that human players’ brains reacted differently to opponents (other humans and ball machines). And playing against a robotic opponent was much more difficult for the human brain.

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The mystery of ultra-luminous X-ray sources (ULXs) and their astonishing brightness has been partially unraveled through a recent study utilizing NASA’s NuSTAR.

Scientists have long been perplexed by ultra-luminous X-ray sources (ULXs), cosmic objects that emit about 10 million times more energy than the Sun and appear to break the Eddington limit — a physical boundary that determines the maximum brightness of an object based on its mass. In a groundbreaking study published in The Astrophysical Journal, researchers have confirmed that these extraordinary light emitters surpass the Eddington limit, potentially due to their strong magnetic fields.

The effect of Eddington limit and magnetic fields

The Eddington limit plays a crucial role in determining the balance between the outward push of photons and the inward pull of an object’s gravity. When an object reaches the Eddington limit, its light pushes away any gas or material falling toward it, thus controlling its brightness. The study focused on the ULX M82 X-2, a neutron star that was found to be stealing about 9 billion trillion tons of material from a neighboring star annually. The researchers’ calculations confirmed that M82 X-2 exceeds the Eddington limit.

The new study supports an alternative hypothesis that suggests strong magnetic fields can distort atoms into elongated shapes, reducing the photons’ ability to push atoms away and ultimately increasing an object’s maximum brightness. By examining more ULXs, scientists may be able to further understand the role of magnetic fields in their extraordinary luminosity.

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The team created a vacuum chamber equipped with twin electrodes to simulate the coronal loop phenomenon.

Coronal loops are arcs of curving plasma that appear above the Sun’s surface. These loops are so powerful that they can travel up to 100,000 kilometers above the surface of the Sun and last for minutes to hours.

Understanding coronal loops.

NASA

However, there are numerous underlying factors that scientists are attempting to decipher in relation to coronal loops. With that stated, Caltech scientists have created a tiny coronal loop in a laboratory, which could help them closely understand the sun’s dynamics.

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“AI is a challenge for global governance,” says a regulations expert.

The Cyberspace Administration of China (CAC), China’s internet regulator, proposed rules to govern artificial intelligence (AI) tools like OpenAI’s ChatGPT on Tuesday.

“China supports the independent innovation, popularization and application and international cooperation of basic technologies such as AI algorithms and frameworks,” CAC said in the draft regulation published on its website.

AndreyPopov/iStock.

CAS’s move comes right after the country’s two largest tech companies, Baidu and Alibaba, debuted their AI bot tech to compete with the U.S. market.

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Malicious loader programs capable of trojanizing Android applications are being traded on the criminal underground for up to $20,000 as a way to evade Google Play Store defenses.

“The most popular application categories to hide malware and unwanted software include cryptocurrency trackers, financial apps, QR-code scanners, and even dating apps,” Kaspersky said in a new report based on messages posted on online forums between 2019 and 2023.

Dropper apps are the primary means for threat actors looking to sneak malware via the Google Play Store. Such apps often masquerade as seemingly innocuous apps, with malicious updates introduced upon clearing the review process and the applications have amassed a significant user base.

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For more information about Stanford’s Artificial Intelligence programs visit: https://stanford.io/ai.

To follow along with the course, visit:
https://cs330.stanford.edu/

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chelsea Finn.
Computer Science, PhD

Plan for Today.
Why be Bayesian?

Bayesian meta-learning approaches.

Continue reading “Stanford CS330 Deep Multi-Task & Meta Learning — Bayesian Meta-Learning l 2022 I Lecture 12” | >

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Will artificial intelligence destroy humanity? Will GPT-5 be the first artificial general intelligence? Why are neural network experts calling on missile strikes to destroy the AI development centers? That and review of new robot superpowers and the ProMat 2023 robot show is in one video! Watch till the end, it’s gonna be interesting!

00:38 — Will GPT-5 destroy humanity?
03:02 — Free Midjourney is no more.
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05:27 — Robots the Omnipresent.
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