Breaking AI & Tech News Analyzed

The trial in San Francisco centers on a class-action lawsuit filed against Elon Musk, who is accused of engaging in a pattern of deceptive behavior that misled investors as he attempted to back out of his $44bn deal to buy Twitter, now known as X, in 2022.Musk's claims about the number of bots on Twitter were a key part of his argument for backing out of the deal. He testified that Twitter had a much higher number of fake and spam accounts than the 5 percent it disclosed in regulatory filings, claiming it was actually around 20 percent. However, Twitter's former CFO Ned Segal disputed this claim, saying the number was closer to 1 percent.The trial has significant implications for Musk, whose fortune is now estimated at $839bn. If the court rules in favor of the shareholders, Musk could be liable for damages. The case highlights the challenges of navigating complex financial deals and the importance of transparency in corporate transactions.Closing arguments are set to begin on Tuesday, with the jury instructed to consider the evidence presented during the trial. The case has been closely watched by investors and observers, who are eager to see how the court will rule on the matter.

Researchers at Cortical Labs in Melbourne have created a 'biological computer' using living human tissue, which can play the 1993 shooter game Doom. The team used 10ml of blood from CEO Hon Weng Chong to harvest 100 white blood cells, which were then reprogrammed into induced pluripotent stem cells (iPSCs). These cells were used to create a dish of 200,000 neurons that can interface with a computer system.The brain cells were taught to play Doom by encoding game state information, passing it through a neural network, and converting it into signals the neurons can understand. The neurons then fire an output, which the system decodes and converts back into actions in the game. This process is similar to how humans operate, with information going into the retina, being converted into electrical signals, processed in the brain, and resulting in an output.While the achievement has sparked concerns about sentience and consciousness, Chong believes the brain cells are not conscious, stating, 'At first it didn’t know how to move, aim or shoot. Then it would shoot two enemies and stop. So it’s definitely learning.' The next step could be integrating this technology with Neuralink, a brain-machine interface developed by Elon Musk.The application of biological computing lies not in gaming, but in medicine, such as disease modeling for conditions like epilepsy. This technology could allow for personalized drug testing and tailored treatments. Meanwhile, Eon Systems in San Francisco has created a virtual insect brain that can behave like a real fly, challenging the assumption that intelligence must be acquired.Biological systems like these could eventually power robots, drones, and other machines that need to navigate complex environments. As Chong notes, 'Abstract reasoning, mathematics and language are relatively recent in evolutionary terms... but motor control and probabilistic decision-making are things we’ve inherited through millions of years of evolution.' While we're far from uploading human consciousness into the internet, this technology marks a significant step in the development of biological computing.