Twitter unveiled a new data access tier on Thursday aimed at attracting startups, after its decision to erect a paywall for developers and researchers prompted widespread backlash. But the new tier already has some describing it as "too little, too late."

Tesla titan and multi-billionaire Elon Musk has reportedly warned US senators at a private meeting that unregulated artificial intelligence technology poses a “civilisational risk” to society. Senate majority leader Chuch Schumer convened a meeting of the most prominent tech executives in the US to help pass a bipartisan legislation encouraging both the rapid development of AI technology and also mitigating its biggest risks. The closed-door meeting was attended by some of the tech industry’s biggest names, including Tesla and SpaceX boss Mr Musk, Meta’s Mark Zuckerberg, former Microsoft chief Bill Gates, Alphabet’s Sundar Pichai, as well as OpenAI founder Sam Altman. As Mr Musk left the Capitol building following several hours of the meeting, he told reporters that “we have to be proactive rather than reactive” in regulating AI as its consequences of going wrong are “severe”. “The question is really one of civilizational risk. It’s not like … one group of humans versus another. It’s like, hey, this is something that’s potentially risky for all humans everywhere,” he said, according to NBC News. Mr Musk also reportedly called for a government AI agency, similar to the Securities and Exchange Commission or the Federal Aviation Administration to oversee developments in the sector and ensure safety. Leaders in the tech industry also called for a balanced approach towards regulating AI. In his prepared remarks, Mr Zuckerberg said the two defining issues for AI are “safety and access”, adding that the US Congress should “engage with AI to support innovation and safeguards”. “New technology often brings new challenges, and it’s on companies to make sure we build and deploy products responsibly,” the Meta chief said. “This is an emerging technology, there are important equities to balance here, and the government is ultimately responsible for that,” he added. The Facebook founder called for policymakers, academics, civil society and industry to work together to minimise the potential risks of AI, but also to maximise its potential benefits. Some of the measures he suggested for building safeguards into AI systems included “selecting the data to train with, extensively red-teaming internally and externally to identify and fix issues, fine-tuning the models for alignment, and partnering with safety-minded cloud providers to add additional filters to the systems we release”. As lawmakers at the US Capitol Hill interacted with tech giant chiefs about potential AI regulations, companies including Microsoft, OpenAI, Meta, Alphabet, and Amazon were also being probed on the conditions of the workers behind tools like ChatGPT, Bing, and Bard. Lawmakers are reportedly probing the working conditions of data labelers who are tasked by companies, often at outsourced firms, to label data used to train AI and for rating chatbot responses. “Despite the essential nature of this work, millions of data workers around the world perform these stressful tasks under constant surveillance, with low wages and no benefits,” lawmakers, including Elizabeth Warren and Edward Markey, said in a letter to tech executives. “These conditions not only harm the workers, they also risk the quality of the AI systems –potentially undermining accuracy, introducing bias, and jeopardizing data protection,” they said. Read More Elon Musk was on brink of death after catching malaria on South African safari, book claims Fatherhood, rows with Amber Heard and ‘the woke mind virus’: 6 big revelations from Elon Musk’s biography Putin praises Musk as ‘outstanding person’ days after report Tesla boss stopped Ukrainian attack Long-form video content is here to stay, says YouTube UK boss Cybertruck sparked Tesla revolt that saw secret design plan, Musk biography reveals Everything Apple killed off at iPhone 15 event

A cyber attack which disrupted access to a council website and its systems is being investigated with the relevant authorities to establish the full impact of the crime, officials have said. On Tuesday, Comhairle nan Eilean Siar (Western Isles Council) suffered a suspected ransomware attack. The website remains down and the local authority says it is currently uncertain of the extent of the damage caused by the attack. A ransomware attack is where hackers maliciously infiltrate an organisation’s website or systems, stealing sensitive data which they in turn use for monetary gain. While investigative work continues, the Comhairle’s priority in response to this incident remains to restore and secure services, ensuring their continued delivery to those in our communities who need them most Comhairle nan Eilean Siar spokesman The council says it is working alongside Police Scotland, the Scottish Government and the National Cyber Security Centre (NCSC) to establish the full impact of Tuesday’s incident. A council spokesperson said: “While investigative work continues, the Comhairle’s priority in response to this incident remains to restore and secure services, ensuring their continued delivery to those in our communities who need them most. “One key aspect of achieving this aim has been work on the processing of benefit and support payments. “While payments have been made to the public, restrictions to file access has affected other scheduled payments. “The impact to IT systems has also meant that invoices due to creditors cannot be paid at this time.” The spokesperson added: “The Comhairle appreciates the impact late payments can have and is working to resolve these issues as soon as possible. “The Comhairle will be in contact with the affected individuals to provide updates and support. “The Comhairle’s email system is now restored and work is ongoing to redirect numbers for key public services. “A temporary website is also in development which will allow members of the public to access key information.” Temporary phone numbers for social care and social work services can be found on Comhairle nan Eilean Siar’s page on X, formerly known as Twitter. The council says its human resources, occupational health and ardseileach care home can be contacted on their usual telephone numbers. A spokesperson for NCSC said: “We are working with Comhairle nan Eilean Siar to fully understand the impact of an incident.” Police Scotland and the Scottish Government were contacted for comment. Read More Setback for Ireland as EU legal adviser recommends revisit of Apple tax case Smartphones ‘may be able to detect how drunk a person is with 98% accuracy’ Ireland and Apple await major development in long-running EU tax dispute Guidance urges parents not to buy smartphones for primary school children William ‘blown away’ by futuristic technology from Singapore start-ups Return of original Fortnite map causes record traffic on Virgin Media O2 network

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An artificial intelligence system has achieved a key milestone by winning multiple races against three world-class drone-racing champions, marking the first time AI has beat humans at a physical sport. The AI system called Swift, developed by researchers from the University of Zurich in Germany and Intel, could prove its mettle in first-person view (FPV) drone racing – a sport in which pilots fly quadcopters at speeds exceeding 100kmph. Until now AI systems have achieved a number of remarkable victories over humans in a range of strategy-based games, including IBM’s Deep Blue winning at chess against Gary Kasparov in 1996 and Google’s AlphaGo defeating top Go champion Lee Sedol in 2016. However, physical sports are more challenging for AI as they are less predictable than board or video games. “We don’t have a perfect knowledge of the drone and environment models, so the AI needs to learn them by interacting with the physical world,” Davide Scaramuzza, one of the authors of the study from the University of Zurich, explained. AI-driven autonomous drones have until now taken twice as long as those piloted by humans to fly through racetracks unless an external position-tracking system was used to precisely control their trajectories. But the new Swift AI drone, described in a new study in the journal Nature, has demonstrated that it can react in real-time to the data collected by an onboard camera, just like the one used by human racers in the sport. Sensors on the drone measure acceleration and speed while the AI system uses data from the camera to locate the drone in space and detect the gates along the racetrack. A control unit in the drone, also based on AI, a control unit, then chooses the best action to finish the race circuit as fast as possible. Researchers say the Swift drone trained itself to fly in a simulated environment by trial and error. Using simulations, scientists could avoid destroying multiple drones in the early stages of learning when the system often crashes. “To make sure that the consequences of actions in the simulator were as close as possible to the ones in the real world, we designed a method to optimise the simulator with real data,” study first author Elia Kaufmann said. During the testing phase, the drone flew autonomously using very precise positions provided by an external position-tracking system, while also recording data from its camera. By comparing the two data sets, Swift could learn to autocorrect errors it made in interpreting information from the onboard sensors, scientists say. The AI was soon ready to challenge some of the world’s top human drone pilots – the 2019 Drone Racing League champion Alex Vanover, the 2019 MultiGP Drone Racing champion Thomas Bitmatta, and three-time Swiss champion Marvin Schaepper. In races that took place between 5 and 13 June 2022, on a special track designed in a hangar of the Dübendorf Airport near Zurich, Swift achieved the fastest lap, with a half-second lead over the best lap by a human pilot. The special track – about 25 by 25 meters in dimension – was built with seven square gates that had to be passed in the right order to complete a lap. Drones had to execute challenging maneuvers to successfully finish the track, including an acrobatic “Split-S” feature that involves half-rolling the drone and executing a descending half-loop at full speed. While Swift could record the fastest lap, humans are more adaptable than the AI drone, which failed when the conditions were different from what it was trained for, scientists say. However, they add that the new breakthrough in AI flight is an important way beyond drone racing. “Drones have a limited battery capacity; they need most of their energy just to stay airborne. Thus, by flying faster we increase their utility,” Dr Scaramuzza said. The new research, according to scientists, may lead to better drones for forest monitoring or space exploration, and in cases where flying fast is important to cover large spaces in a limited time. They say fast AI drones could also be used for shooting action scenes in movies and may also “make a huge difference” for rescue drones sent inside a burning building. Read More Ukraine launches ‘massive’ drone strikes on six regions of Russia – destroying war planes Ukraine-Russia war live: Kyiv’s huge drone attack as Putin floods frontline with ‘poorly trained troops’ To stop wildfires, residents in some Greek suburbs put their own money toward early warning drones Google launches AI to go to meetings for you Behind the AI boom, the armies of overseas workers in ‘digital sweatshops’ Nvidia sales hit record high as AI chip demand soars

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MANILA, Philippines--(BUSINESS WIRE)--Jun 22, 2023--