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If you thought it was easy to analyze brain cells, think again.

When you take a brain tissue sample, all that your analysis would normally show you is an average for all the present. And since there are a whole lot of cell types in our brain— and others—you’ll get a sort of cell smoothie, which makes it difficult if not impossible to tell the cells apart, let alone study them.

It is like wanting to know how many green M&M’s there are in a bowl, but instead just getting told how many colors there are. You are not really getting the answer you wanted.

I guess it’s time for Twitter execs to go home, and for me to start using Twitter again. They killed my chamber of commerce account, then when I opened a personal account, they kept asking for my phone number every time I logged in. If I give you my number once and you send me an sms, I’m not giving it to you again, as that’s not safe.


It ends months of bad blood between the two parties regarding the takeover, with Elon Musk complaining about fake accounts on the platform and claims by a whistleblower that Twitter misled regulators about security risks.

Meanwhile, in Kenya, Facebook to start sharing advertising data with Kenya’a tax agency, and the police.


In the terms, the company said businesses placing adverts across its different platforms would have given it consent to share information with government agencies looking for such information to assist in lawful investigations.

“Our licence to deliver your ad will end when we have completed your order. You understand, however, that…you consent that Meta may disclose your advertising content, and all information associated with your advertising, to a governmental entity or body if Meta believes that disclosure would assist in a lawful investigation,” says the company in the terms that will be effective January 3, 2023.

It added that companies placing adverts would be required to disclose information such as the nature of the business they are involved in and the kind of people targeted by such adverts.

Werner Syndrome and Hutchinson Gilford Progeria Syndrome are two examples of the rare genetic disorders known as progeroid syndromes that cause signs of premature aging in children and young adults. Patients with progeroid syndromes have pathologies and symptoms that are often linked to aging, including osteoporosis, cataracts, heart disease, and type II diabetes.

This aging is characterized by the gradual loss of nuclear architecture and an underlying tissue-specific genetic program, but the causes are unclear. Scientists have discovered a potential new target for treating these syndromes by preventing nuclear architecture loss.

AI image generators, which create fantastical sights at the intersection of dreams and reality, bubble up on every corner of the web. Their entertainment value is demonstrated by an ever-expanding treasure trove of whimsical and random images serving as indirect portals to the brains of human designers. A simple text prompt yields a nearly instantaneous image, satisfying our primitive brains, which are hardwired for instant gratification.

Although seemingly nascent, the field of AI-generated art can be traced back as far as the 1960s with early attempts using symbolic rule-based approaches to make technical images. While the progression of models that untangle and parse words has gained increasing sophistication, the explosion of generative art has sparked debate around copyright, disinformation, and biases, all mired in hype and controversy.

Yilun Du, a Ph.D. student in the Department of Electrical Engineering and Computer Science and affiliate of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), recently developed a new method that makes models like DALL-E 2 more creative and have better scene understanding. Here, Du describes how these models work, whether this technical infrastructure can be applied to other domains, and how we draw the line between AI and human creativity.