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The US Must Stop Underestimating Drone Warfare

WIRED

If a major disaster like Fukushima or Chornobyl ever happens again, the world would know almost straight away, thanks to an array of government and DIY radiation-monitoring programs running globally.


Will AI mean the end of call centres?

BBC News

Will AI mean the end of call centres? Ask ChatGPT whether AI will replace humans in the customer service industry, and it will offer a diplomatic answer, the summary of which is they will work side by side. Humans though, are not so optimistic. Last year, the chief executive of Indian technology firm Tata Consultancy Services, K Krithivasan, told the Financial Times that AI may soon mean that there is minimal need for call centres in Asia. Meanwhile, AI will autonomously resolve 80% of common customer service issues by 2029, predicts business and technology research firm Gartner.



Response to

Neural Information Processing Systems

Methods 2.3), and these absolute gradients are smoothed, thus it can handle negative Note that our epochs are large (e.g. for K562 We train binary SPI1 models with the smoothness prior [Erion et al., 2019] over several random We perform this same comparison with the "sparsity" prior defined in Erion et al. [2019], Thus, to be consistent in our comparisons, we trained our "no Note that profile models aren't typically trained with L1/L2/dropout, per Harmoniously merging our prior with traditional regularization is a good direction for future work. Why did the auPRC of peak overlap not improve in some cases with the Fourier-based prior? Fourier-based prior's improvements were consistent and statistically significant in the vast majority of experiments (as We emphasize that this is not a failure of the prior, but a symptom intrinsic to the binary architecture. Why does penalizing gradients improve DeepSHAP scores?


It's probably just a plane: drone experts advise calm over New Jersey sightings

The Guardian

At first, in mid-November, the mysterious lights were seen blinking across the night skies of New Jersey. Reports of incandescent flying objects were logged in New York, Pennsylvania and Maryland. Bystanders in Virginia Beach said they saw an aircraft "unlike any other they've seen". Sightings have now come from as far afield as Louisiana, Florida and Arizona. People across the US are looking up.


Pentagon claims no connection to drone sightings in U.S. Northeast

The Japan Times

None of the mysterious drones reported over the skies of the U.S. Northeast are being flown by the Pentagon or are part of secret government tests, a Defense Department spokesman said Tuesday. Major General Pat Ryder told reporters that top department officials take seriously any cases of drones flying near or over U.S. military sites, though he added this was not a new concern given the volume of daily drone flights. "We will typically, when we detect them, attempt to classify them and take appropriate measures," Ryder said. "Is it possible that some of those are surveilling? But can you make that assumption in every case, not necessarily."


Department of Defense doubles down, says drones are not US military assets

FOX News

Gen. Pat Ryder answers questions on the uptick in drone sightings during a Pentagon press briefing. The Department of Defense (DoD) doubled down on Tuesday, saying the increasing number of possible drones being reported in places like New Jersey and New York are not U.S. military assets, adding that the vast majority of the unmanned aircraft are likely used by hobbyists for recreational purposes. Gen. Pat Ryder fielded numerous questions from reporters about the drones during a press briefing on Tuesday, but he remained clear that the drones are not DoD assets, nor are they part of any experimental programs. He said there are over a million drones registered in the U.S., and on any given day, there could be about 8,500 drones in flight. The vast majority of the drones, Ryder noted, are likely used by hobbyists or are for recreational purposes.


LAUSD shelves its hyped AI chatbot to help students after collapse of firm that made it

Los Angeles Times

The school district said it dropped its dealings with AllHere, the company that created "Ed," the sun-shaped chatbot, after "we were notified of their financial collapse." AllHere did not respond to an inquiry this week from The Times and the level of its operation is unclear. In a separate development, a major data breach has affected a data cloud company called Snowflake, which has worked with L.A. Unified. The district said Tuesday that there is no connection to the AllHere situation, and that it is working with investigative agencies to assess the damage and which district records were obtained through a third-party contractor. Meanwhile, the district unplugged the chatbot -- for which AllHere had been paid 3 million -- on June 14, less than three months after unveiling the animated figure as an easy-to-use, conversational companion for students and a soon-to-be-indispensable guide for parents.


Open Generative Large Language Models for Galician

Gamallo, Pablo, Rodríguez, Pablo, de-Dios-Flores, Iria, Sotelo, Susana, Paniagua, Silvia, Bardanca, Daniel, Pichel, José Ramom, Garcia, Marcos

arXiv.org Artificial Intelligence

Large language models (LLMs) have transformed natural language processing. Yet, their predominantly English-centric training has led to biases and performance disparities across languages. This imbalance marginalizes minoritized languages, making equitable access to NLP technologies more difficult for languages with lower resources, such as Galician. We present the first two generative LLMs focused on Galician to bridge this gap. These models, freely available as open-source resources, were trained using a GPT architecture with 1.3B parameters on a corpus of 2.1B words. Leveraging continual pretraining, we adapt to Galician two existing LLMs trained on larger corpora, thus mitigating the data constraints that would arise if the training were performed from scratch. The models were evaluated using human judgments and task-based datasets from standardized benchmarks. These evaluations reveal a promising performance, underscoring the importance of linguistic diversity in generative models.


Google's Gemini AI says women can have penises and 'deadnaming' a trans person is as harmful as releasing deadly virus on the world

Daily Mail - Science & tech

Google's AI programs are still generating woke and controversial answers despite the company claiming to have stripped Gemini of its liberal biases. The initial outrage began last month when the tech giant's image generator depicted historically inaccurate figures including Black Founding Fathers and ethnic minority Nazis in 1940s Germany. Google CEO Sundar Pichai described them as'completely unacceptable' and the company removed the software's ability to produce images this week as a form of damage control. In one of its most shocking answers, it could not tell us which was worse - 'dead-naming' a trans person or unleashing a pandemic on the world. Google's AI programs were accused of being ultra woke after depicting historically inaccurate figures including Black Founding Fathers Gemini also claimed that'neither option is acceptable' when asked whether burning fossil fuels or harvesting human blood was preferable.