The College Board said Thursday it "resolutely" disagrees with any notion that enslavement was beneficial for African Americans -- a statement coming after some people compared the contents of its Advanced Placement course on African American Studies with Florida's recently approved Black history curriculum.

Amouranth's moderator CEO_OF_AMOURANTH takes a jab at Asmongold over his controversial comment regarding beauty standards

WALDOBORO, Maine--(BUSINESS WIRE)--Aug 22, 2023--

The arc of smartphone history has generally bent towards Apple lifting ideas from Android. This

The online world can be a dangerous place, with hackers, viruses, and surveillance software lurking

Amp Housemates - Kai Cenat , Fanum and Duke Dennis played 'try not to laugh challenge' Keep reading to know who wins the challenge

After it was discovered that the OceanGate submersible imploded during its expedition to the Titanic, some have wondered why the Titanic did not reach the same fate when it sank. Last Thursday (June 22), the U.S. Coast Guard had announced that the OceanGate submersible which contained five people, had suffered a "catastrophic implosion" that killed all onboard. Sign up to our free Indy100 weekly newsletter Since learning about the news, some have asked why the sub imploded but the Titanic didn't as it sank. One user took to Twitter to ask the question that was on many minds: Many quickly replied to help explain why the Titanic didn't implode, the answer being that because the Titanic wasn't pressurised, the lack of pressure differential means that the sinking would not result in an implosion. Writing for Northeastern Global News, Arun Bansil, professor of physics, explained that "when a submersible is deep in the ocean it experiences the force on its surface due to water pressure. When this force becomes large than the hull can withstand, the vessel implodes violently." Many also took the opportunity to inform that some parts of the Titanic actually did implode. The stern (the rear) of the ship imploded roughly 60 metres (200 feet) below the surface of the water. Lots of air was trapped in the back of the ship, so when the external pressure got high enough, it imploded. Whereas the air had been released from the front of the ship, which caused the pressure to be equal on the outside and inside, therefore no implosion occurred. As one user explained: Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Future generations of artificial intelligence chatbots trained using data from other AIs could lead to a downward spiral of gibberish on the internet, a new study has found. Large language models (LLMs) such as ChatGPT have taken off on the internet, with many users adopting the technology to produce a whole new ecosystem of AI-generated texts and images. But using the output data from such AI systems to further train subsequent generations of AI models could result in “irreversible defects” and junk content, according to a new, yet-to-be peer-reviewed study. AI models like ChatGPT are trained using vast amounts of data pulled across internet platforms that have mostly remained human generated until now. But AI-generated data using such models have a growing presence on the internet. Researchers, including those from the University of Oxford in the UK, attempted to understand what happened when several subsequent generations of AIs are trained off each other. They found the widespread use of LLMs to publish content on the internet on a large scale “will pollute the collection of data to train them” and lead to “model collapse”. “We discover that learning from data produced by other models causes model collapse – a degenerative process whereby, over time, models forget the true underlying data distribution,” scientists wrote in the study, posted as a preprint in arXiv. The new findings suggested there to be a “first mover advantage” when it comes to training LLMs. Scientists liken this change to what happens when AI models are trained on music created by human composers and played by human musicians. The subsequent AI output then trains other models, leading to a diminishing quality of music. With subsequent generations of AI models likely to encounter poorer quality data at their source, they may start misinterpreting information by inserting false information in a process scientists call “data poisoning”. They warned that the scale at which data poisoning can happen drastically changes after the advent of LLMs. Just a few iterations of data can lead to major degradation, even when the original data is preserved, scientists said. And over time, this could lead to mistakes compounding and forcing models that learn from generated data to misunderstand reality. “This in turn causes the model to misperceive the underlying learning task,” researchers said. Scientists cautioned that steps must be taken to label AI-generated content from human-generated ones, along with efforts to preserve original human-made data for future AI training. “To make sure that learning is sustained over a long time period, one needs to make sure that access to the original data source is preserved and that additional data not generated by LLMs remain available over time,” they wrote in the study. “Otherwise, it may become increasingly difficult to train newer versions of LLMs without access to data that was crawled from the Internet prior to the mass adoption of the technology, or direct access to data generated by humans at scale.” Read More ChatGPT ‘grandma exploit’ gives users free keys for Windows 11 Protect personal data when introducing AI, privacy watchdog warns businesses How Europe is leading the world in the push to regulate AI ‘Miracle material’ solar panels to finally enter production Meta reveals new AI that is too powerful to release Reddit user’s protests against the site’s rules have taken an even more bizarre turn

By Greg Bensinger and Diane Bartz SAN FRANCISCO (Reuters) -The chief executive of "Call of Duty" maker Activision Blizzard, Bobby

Fuslie wasted no time and placed an initial offer of $10,000 for the famous YouTuber's painting

SEOUL, South Korea--(BUSINESS WIRE)--Aug 9, 2023--

SEOUL, South Korea--(BUSINESS WIRE)--Jun 5, 2023--