Scorpiontee – Official Build against cancer 2022 Shirt

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works, Twitter also said, “no, we didn’t get the idea from a poll.” (Musk later pulled out of the board seat offer, agreed to buy Twitter outright, moved to terminate the acquisition deal and now is fighting a lawsuit from Twitter that seeks to compel him to follow through with the deal.) Although many people have for years been calling on Twitter to add an edit button — which rivals like Facebook and Instagram offer — others have raised concerns about the potential implications of such a feature. Safety experts asked, for example: What if a harmless tweet went viral and then was edited to include harassment or misinformation, increasing the reach of a tweet that might otherwise not have spread? Twitter said in its Thursday blog post that in this test, tweets will be able to be edited “a few times” for up to 30 minutes after they are first posted. Edited tweets will appear with an icon, label and timestamp to make it obvious they have been modified, and users can click through to a tweet’s “edit history” to see past versions. “Like any new feature, we’re intentionally testing Edit Tweet with a smaller group to help us incorporate feedback while identifying and resolving potential issues. This includes how people might misuse the feature.” PAID PARTNER CONTENT MORE FROM Bed Bath & Beyond exec identified as man who jumped from… New California law could raise fast-food minimum wage to… Former Tata Sons chairman Cyrus Mistry dies in car accident Parents struggling with inflation: ‘I left that $25 backpack…

Official Build against cancer 2022 Shirt

Here’s what might drive up the prices on the newest iPhones By Catherine Thorbecke, Business Updated 2019 GMT (0419 HKT) September 1, 2022 A Dominion voting machine ended up on eBay. Here’s how much it sold for Why it’s so critical for Artemis I to launch a mannequins only crew Rogan grills Zuckerberg on how Facebook moderates controversial content He was a famous hacker. Now, he’s detailing his main concern with Twitter Some Tesla drivers use kids as a prop to test ‘full self-driving’ feature ()With Apple widely expected to unveil the new iPhone 14 lineup at its upcoming event next Wednesday, a big question mark still surrounds how much, in this economy, the tech giant will charge for its latest-and-greatest smartphones. Apple has some famously loyal customers. Yet as broader economic forecasts get downgraded left and right, it might be a hard time to convince people to upgrade their iPhones. “Apple faces a real conundrum of pricing,” said Ben Wood, chief analyst at market research firm CCS Insight. On top of inflation and cost-of-living pressures wreaking havoc on consumers, he noted that Apple simultaneously faces rising costs associated with iPhone components and transportation. “My expectation is that Apple will probably have to nudge prices up,” Wood told Business. But given the strain consumers are facing, he thinks Apple will also do “everything they can to make that as minimal as possible.” Beyond the broader signals of a worsening economy, Apple is alsoTesla is a stock ‘I’ll never personally own’: Investment strategist Strategic Wealth Partners investment strategist Luke Lloyd explains why he’ll never personally invest in Tesla stock. Tesla unveiled new images on Sunday of its in-house supercomputer, which will be used to help power the electric vehicle maker’s autopilot and full self-driving (FSD) capabilities. ELON MUSK QUESTIONS ASSERTIONS BITCOIN IS SUSTAINABLE Tesla’s supercomputer is currently being used and further developed by the company to train neural networks, which are computer systems used to process vast amounts of data. ◀︎ ▶︎ Image 1 of 2 Photo courtesy of CVPR 2021 Conference Tesla uses the neural networks to label 4D data that comes from videos taken through eight onboard cameras that make up its vehicle’s Vision system. That data is then used to train Tesla’s software to autonomously navigate the car using only radar and the cameras. However, Tesla recently said it would drop radar altogether, and began transitioning solely to the camera-based system in its Model 3 and Model Y vehicles in May. The ultimate goal of Tesla Vision is to make an autonomous car that is dramatically safer than the average person. “Training these neural networks like a mission, this is a 1.5 petabyte dataset, requires a huge amount of compute. So I wanted to briefly give a plug to this insane supercomputer that we are building and using now,” Tesla’s head of artificial intelligence, Andrej Karpathy, said during an autonomous driving workshop at the CVPR 2021

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conference. “For us, computer vision is the bread and butter of what we do and what enables the Autopilot and for that to work really well, you need a massive data set, we get that from the fleet, and you also need to train massive neural nets and experiment a lot. So we’ve invested a lot into the compute.” CLICK HERE TO READ MORE ON FOX BUSINESS During Tesla’s Autonomy Day in 2019, CEO Elon Musk revealed plans for the Dojo program, which aims to create the world’s most powerful supercomputer. Musk has claimed the project will be capable of producing an exaFLOP, one quintillion floating-point operations per second, or 1,000 petaFLOPS. Meanwhile, Karpathy claims Tesla’s current supercomputer is the fifth most-powerful in the world. The new computer cluster’s specifications include: 720 nodes of 8x A100 80GB (5760 GPUs total) 1.8 EFLOPS (720 nodes * 312 TFLOPS-FP16-A100 * 8 gpu/nodes) 10 petabytes of “hot tier” NVME storage @ 1.6 terabytes per second 640 terabytes per second of total switching capacity While Karpathy declined to elaborate on its latest upcoming iteration of Dojo, he teased that it will take Tesla’s supercomputing plans to the “next level.” Musk noted during the company’s fourth quarter earnings call in January that Dojo could potentially be offered as a service for other companies. “So some of the others need neural net training, we’re not trying to keep it to ourselves,” Musk said. “So I think there could be a whole line of business in and of itself. And then, of course, for training vast amounts video data and getting the reliability from 100% to 200% better than average human

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