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Cloudflare: World Record 7.3Tbps DDoS Attack Hits Mystery Target

Cloudflare: World Record 7.3Tbps DDoS Attack Hits Mystery Target

Yahoo5 hours ago

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The biggest recorded distributed denial-of-service (DDoS) attack in history was recorded on Friday, in what could be a concerning development for website owners everywhere.
DDoS attacks are one of the most prevalent types of cyberthreats. These attacks attempt to flood a website with traffic, often flowing from different IP addresses across the world, in the hopes that it will crash. These types of attacks have taken down everything from cloud storage giant Microsoft Azure, Elon Musk's X, to the Internet Archive in just the past few years alone.
Internet security firm Cloudflare says it stopped a 45-second-long DDoS attack that peaked at 7.3 terabits per second, translating to a total of roughly 37.4 terabytes of data. To put this in perspective, that's about 375 modern AAA video games, which can weigh in at 100GB each, or up to 311 days of 1080p HD video. It's also equivalent to around 9.35 million songs stored as MP3s.
Cloudflare didn't reveal the victim of Friday's attack, other than that it was a Cloudflare customer—like most major high-traffic websites on the internet—which doesn't narrow it down a great deal. Cloudflare says the attack is what it termed a "multivector DDoS attack," but said that 99.996% of the malicious attack traffic was executed via what is known as "UDP floods."
UDP is a way of routing internet traffic used in instances where fast responses are needed, such as online gaming or Zoom calls, in contrast to TCP, which is used for the majority of online traffic.
The internet security firm says the attack originated from over 122,145 source IP addresses across 161 countries. Almost half of the attack traffic came from Brazil and Vietnam, with roughly a quarter each. Another third originated from Taiwan, China, Indonesia, Ukraine, Ecuador, Thailand, the United States, and Saudi Arabia.
It will be interesting to see how long the current record may stand—Cloudflare has reported several record-breaking DDoS attacks over the past year. In late January 2025, Cloudflare warded off a 5.6Tbps attack, a record at the time, just months after fending off a 4.2Tbps attack. Meanwhile, tech giants like Microsoft are warning how DDoS attacks may be used offensively by technologically advanced foreign powers like Iran, North Korea, or Russia.

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Tesla's robotaxi plans to 'launch' for a limited number of users in Austin. Here's what we know.
Tesla's robotaxi plans to 'launch' for a limited number of users in Austin. Here's what we know.

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time30 minutes ago

  • Business Insider

Tesla's robotaxi plans to 'launch' for a limited number of users in Austin. Here's what we know.

Tesla's robotaxi service launch in Austin is expected Sunday, and some are already being spotted on the road. The anticipated launch comes years after several missed deadlines and an increasingly competitive — but shrinking — field. General Motors's Cruise recently bowed out of the race, but Alphabet's Waymo has continuously ramped up its service and is now providing 250,000 rides a week in the San Francisco Bay Area, Los Angeles, Phoenix, and Austin, according to the company. There's also Amazon's Zoox, which makes its own purpose-built robotaxi, and other software-focused companies that hope to provide autonomous driving features to original equipment manufacturer vehicles. However, Elon Musk swears by Tesla's approach to autonomy. On June 10, Musk reshared a video of a driverless Tesla with " Robotaxi" written on the side in Cybertruck font, making a left turn in Austin. He called its design "beautifully simple." "These are unmodified Tesla cars coming straight from the factory, meaning that every Tesla coming out of our factories is capable of unsupervised self-driving," Musk said in another tweet. During the company's Q1 earnings call in April, Musk described Tesla's self-driving capabilities as a "generalized solution using artificial intelligence." The CEO has touted this approach before, which refers to Tesla's reliance on cameras, as opposed to a pricey hardware stack made up of sensors and cameras, and an AI that will use the visual input to drive the vehicle. This could allow for Tesla to scale autonomy quicker and at lower costs since, in theory, any Tesla model could be deployed as a robotaxi. "I predict there will be millions of Teslas operating autonomously — fully autonomously — in the second half of next year," Musk said during the call. Musk recently provided more details about the coming robotaxi launch. 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Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low
Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low

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time36 minutes ago

  • Yahoo

Google AI is worse at Pokemon than I was when I was 5 – taking 800 hours to beat the Elite 4 and having a breakdown when its HP got low

When you buy through links on our articles, Future and its syndication partners may earn a commission. If you're someone who thinks AI is almost ready to take over the world, I have some good or bad (depending on your stance on things) news for you: Google's Gemini 2.5 Pro took over 800 hours to beat the 29-year-old children's game Pokemon Blue. There's a Twitch account called Gemini_Plays_Pokemon, a pale imitation of the incredible Twitch Plays Pokemon account that started this trend. First things first: how long did it take the AI to actually complete the game? Well, it was a staggering 813 hours. I feel like you could hit buttons randomly and beat the game faster than that. After some tweaks by the creator of this Twitch channel, the AI managed to halve its time to a still outrageous 406.5 hours. That is actually dead on half the time, which is interesting mathematically but still far too long to beat a game you can win with an overleveled Venusaur. Additionally, as spotted by our friends at PC Gamer, Google DeepMind reported on the Twitch account, and something unusual happens whenever its Pokemon get low on health or power points (PP). Whenever one or both of these conditions are met, "model performance appears to correlate with a qualitatively observable degradation in the model's reasoning capability – for instance, completely forgetting to use the pathfinder tool in stretches of gameplay while this condition persists." This, combined with the AI mistakenly thinking it was playing FireRed and LeafGreen and would need to find the Tea to progress, are part of the reasons it took so long to finish. Honestly, AI just isn't very good at playing Pokemon. Someone else made Claude Plays Pokemon, and that AI spent hours trying to get out of Cerulean city because it kept jumping down a ledge to talk to an NPC it had already spoken to dozens of times. So, these AIs aren't able to beat a game that we could when we barely knew our times tables. Let's not worry about them taking our jobs any time soon. In the meantime, check out the best Pokemon games of all time.

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By embedding intelligent decision-making and automation across the entire revenue lifecycle, FinThrive will empower healthcare organizations to operate more efficiently, recover revenue faster, and adapt at scale in an evolving payer environment. Agentic AI is only one component of a comprehensive, tech-forward infrastructure FinThrive will launch tomorrow at the conference. This exciting innovation establishes FinThrive as the modern foundation for exponential value creation in healthcare revenue operations, enabling AI, automation, and analytics to work better, faster, and at scale. As FinThrive continues to innovate, multiple AI-driven agents are slated for release in the future. FinThrive's commitment to redefining revenue cycle management through Agentic AI empowers providers to work smarter, recover revenue faster, and drive operational excellence. 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Onsite Debut: Denials & Underpayments Analyzer Attendees will also get a first look at FinThrive's new Denials & Underpayments Analyzer. The AI-powered tool helps providers convert payer data noise into actionable financial insights, pinpointing denial patterns, underpayment trends, and high-value recovery opportunities. Live demonstrations will be available throughout the event at the FinThrive booth. Visit FinThrive at Booth #631 during HFMA 2025 to explore the latest innovations, connect with our experts and experience what's next in healthcare revenue transformation. About FinThriveFinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections and ensure regulatory compliance across the entire revenue cycle continuum. Providing one of healthcare's most comprehensive revenue cycle management SaaS platforms, FinThrive's holistic approach to intelligent revenue management offers patient access, charge integrity, claims management, contract management, AI machine learning, generative and agentic AI, robotic process automation, data and analytics, and education solutions. Three out of five U.S. hospitals and health systems are using FinThrive today. For more information, visit View original content to download multimedia: SOURCE FinThrive, Inc.

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