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A cybersecurity expert that goes by the name Zhirinovskiy took to the HackerOne forum in January to report a vulnerability within Twitter’s login pipeline. According to the report, the vulnerability was a gaping hole within the platform’s cybersecurity, and just within a few days, Zhirinovskiy was able to successfully infiltrate and discover Twitter accounts linked to specific numbers and email addresses. Zhirinovskiy explained that a malicious party could easily find an individual’s Twitter account with a phone number or email address.

Zhirinovskiy contacted Twitter support about the security flaw, which was found in Twitter’s Android app, and was rewarded a $5,040 bug bounty for the discovery. A patch was rolled out that fixed the major issue, but according to Restore Privacy, it was already too late as a malicious individual that uses the username “devil” had already exploited the flaw and scraped 5,485,636 Twitter accounts. The swath of data was then thrown onto the dark web hacking community forum ‘Breached Forums’, where the lister claimed that the data included users that “range from Celebrities to Companies, randoms, OGs, etc.

Furthermore, the authenticity of the data that was stolen was verified by Restore Privacy, as well as the hacker that stole it. Notably, Devil listed the data for sale with an asking price of $30,000. It’s not known if the stolen Twitter data was purchased by another party or is still available.

You might identify with the Mind After Midnight hypothesis if you’ve ever stayed up late angrily commenting on Twitter posts, finishing another bottle of wine, eating a whole pint of ice cream out of the container, or just feeling miserable.

The hypothesis suggests that when humans are awake during the biological circadian night—after midnight for most people—there are neurophysiological changes in the brain that alter the way we interact with the world, especially actions related to impulse control, reward processing, and information processing. The hypothesis was detailed in a recent paper published in the journal Frontiers in Network Psychology.

“There are millions of people who are awake in the middle of the night, and there’s fairly good evidence that their brain is not functioning as well as it does during the day.” —

A year after Tesla announced its humanoid robot — the Tesla Bot — the conceptual general-purpose robot is up against some Chinese competition. On the sidelines of Xiaomi’s Autumn launch event in Beijing, the company announced its first full-size humanoid bionic robot. The rather unimaginatively named Xiaomi CyberOne is the second robotic product from Xiaomi and comes a year after the announcement of the Xiaomi Cyberdog, which they showcased at their 2021 Autumn launch event.

CyberOne
Xiaomi.

Like most other humanoid robots, most aspects of the Xiaomi CyberOne are still “work in progress.” Xiaomi claims that future, evolved variants of the robot will not only have a high degree of emotional intelligence but will also gain the ability to perceive human emotions. Despite the fact that the first-generation CyberOne demoed on stage seemed to have trouble walking, work is underway to improve its ability to master the art of bipedal movement.

TAE’s latest backers include the likes of Google and Chevron

TAE has earned the backing of forward-thinking investors and, so far, has raised a total of $1.2 billion for its commercial fusion development thanks to a track record of exceeding milestones and performance capability. TAE’s mission is to provide a long-term solution to the world’s rapidly increasing electricity demand while ensuring global energy independence and security.

To that end, the company recently closed its Series G-2 financing round, in which it secured $250 million from investors in the energy, technology, and engineering sectors. By avoiding carbon and particulate emissions, TAE’s safe, non-radioactive method minimizes any negative effects on the environment or the effects of climate change.

DALL-E 2, OpenAI’s powerful text-to-image AI system, can create photos in the style of cartoonists, 19th century daguerreotypists, stop-motion animators and more. But it has an important, artificial limitation: a filter that prevents it from creating images depicting public figures and content deemed too toxic.

Now an open source alternative to DALL-E 2 is on the cusp of being released, and it’ll have no such filter.

London-and Los Altos-based startup Stability AI this week announced the release of a DALL-E 2-like system, Stable Diffusion, to just over a thousand researchers ahead of a public launch in the coming weeks. A collaboration between Stability AI, media creation company RunwayML, Heidelberg University researchers and the research groups EleutherAI and LAION, Stable Diffusion is designed to run on most high-end consumer hardware, generating 512×512-pixel images in just a few seconds given any text prompt.

Researchers at the Wake Forest Institute for Regenerative Medicine (WFIRM), North Carolina, are investigating the power of cells with regenerative effects. These researchers were the first to identify that stem cells in human urine have the potential for tissue regenerative effects, and are now continuing their investigation.

In a new study, the researchers have focused on how telomerase activity affects the regenerative potential of stem cells in human urine and other types of stem cells. The study was recently published in the journal Frontiers in Cell and Developmental Biology.

A team at the University of California, Irvine, has identified a signaling molecule that potently stimulates hair growth.

A signaling molecule known as SCUBE3, which was discovered by researchers at the University of California, Irvine, has the potential to cure androgenetic alopecia, a prevalent type of hair loss in both women and men.

The research, which was recently published in the journal Developmental Cell, uncovered the precise mechanism by which the dermal papilla cells, specialized signal-producing fibroblasts found at the bottom of each hair follicle, encourage new development. Although the critical role dermal papilla cells play in regulating hair growth is widely established, the genetic basis of the activating chemicals involved is little understood.