GameStop is changing its rewards program — save $10/year if you sign up before June 27
SAVE $10: GameStop is overhauling its PowerUp Rewards membership program (soon to be named GameStop
2023-05-25 01:46
Biostar B760A-Silver Review
It's been a while (2017, precisely), since we've taken a deep look at a Biostar
2023-09-11 00:50
New Low-cost Catalyst Helps Produce Environmentally Sustainable Hydrogen From Water
LEMONT, Ill.--(BUSINESS WIRE)--May 30, 2023--
2023-05-31 04:16
How much does Dylan Mulvaney charge for college visits? Trans influencer's alleged fee for speech sparks outrage
Dylan Mulvaney spoke at the University of Pittsburgh earlier this year for a fee of $26,250 and now she has allegedly doubled her charge
2023-08-01 14:54
E Ink Showcases Latest Color Products, E Ink Spectra™ 6 and E Ink Gallery™ 3 Outdoor, at SID Display Week 2023
BILLERICA, Mass.--(BUSINESS WIRE)--May 23, 2023--
2023-05-24 01:23
Scientists warn of threat to internet from AI-trained AIs
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
2023-06-20 13:57
Fortnite Reboot Rally May 2023 All Rewards
Fortnite's Reboot Rally is back for May 2023, giving players the chance to return to Fortnite and earn some special rewards with friends.
2023-05-16 18:26
MITRE Opens New Experimentation Range Dedicated to Small Uncrewed Aircraft Systems (UAS)
MCLEAN, Va. & BEDFORD, Mass.--(BUSINESS WIRE)--Aug 15, 2023--
2023-08-16 00:24
Invisible Urban Charging, JLL Launch Global Partnership for EV Charging
NEW YORK--(BUSINESS WIRE)--Jun 15, 2023--
2023-06-16 02:19
The Wild History of the Tale That Created the Modern Vampire (And No, It's Not ‘Dracula’)
‘The Vampyre’ is largely forgotten today, but it upended centuries of vampiric lore 80 years before Bram Stoker’s ‘Dracula’—and from its spooky beginnings to its scandalous misattribution, its history was as dramatic as fiction.
2023-09-14 23:24
Is Twitter ready for Europe's new Big Tech rules? EU official says it has work to do
Twitter needs to do more work to comply with the European Union’s tough new digital rulebook
2023-06-23 21:26
Bitcoin’s Volatility Drops to Lowest Since 2020 While AI Tokens Take Off
The typically hyper-volatile Bitcoin hasn’t been so choppy of late at all. The largest digital asset hasn’t posted
2023-05-27 00:58
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