Australia will require large data centers powering artificial intelligence to generate as much power as they consume, and ensure that creative professionals retain control over work that may be used to train A.I. systems, as the government sets up guardrails over the rapidly growing industry. The announcements on Wednesday in a speech by Prime Minister Anthony Albanese came as Australia draws significant interest from A.I. companies because of its size and the availability of renewable energy, and as resistance to data centers builds in many parts of the United States and Europe.

Major A.I. companies have opened offices or announced investments in Australia in recent months. The Australian government is trying to balance capitalizing on the A.I. boom with setting parameters on a fast-changing industry that has sparked backlash over environmental impacts, energy use and lack of contribution to local economies. “Every country on earth is grappling with these challenges right now. Australia will be the first country in the world to bring these issues into a single, national framework,” Mr. Albanese said Wednesday, laying out the standards his government will pursue.

The details of what exactly the requirements will look like and how they will be enforced remain to be seen, and the government will need to secure the backing of individual states for its plan. The government said it would introduce legislation on the standards early next year, and establish an “Office of A.I.” directly reporting to the prime minister to coordinate implementation. The “Australian Standards for A.I.” will include a “legal obligation” for companies to ensure they do not drain the power grid and be as water efficient as possible, the government said. Mr. Albanese also said creators of books, music, art or news in Australia should retain control of the price and value of their work when used to train artificial intelligence systems. “Anything less is theft,” he said. “No country has got this right yet.”

“This deployment in a working school district represents a landmark moment for both AI and humanoid robotics,” said Andrew Kiguel, CEO of Realbotix, which is currently building the robot. "[Salamanca City Central School District in Western New York] marks the beginning of a new era where humanoid robots and intelligent AI assistants become standard tools in STEM education.”

The female robot, named Sally, will have a “lifelike appearance” with silicone skin and long brown hair, Kiguel said in an interview with New York Focus. It will be stationary in a seated position but have a wide range of upper-body movements and facial expressions. […]

Salamanca plans to introduce the robot and avatar in its high school AI and robotics courses, which use curriculum developed by Apple co-founder Steve Wozniak to prepare students for high-demand tech jobs. The district plans to expand it to high school students in other classes if the pilot is successful.

His presence at the gathering, attended by scores of tech and government leaders, conveys a potent signal of China’s ambitions to dominate a technological sphere with the potential to revolutionize industry and economies — an effort that’s shot to the top of the nation’s agenda. Chinese models are winning over companies worldwide, with their share of US firms’ AI usage nearing a record 60% on the popular marketplace OpenRouter.

Behind the rhetoric, Beijing is grappling with the balance between openness and national security as models grow more capable. Chinese officials recently discussed with companies including Alibaba — developer of the popular Qwen models — how to mitigate the security risks posed by their increasingly powerful models, people familiar with the matter said. The talks are early, with no enforcement planned, but restricting foreign access to top models was among the options raised, the people said. Reuters previously reported that Beijing was weighing curbs on overseas access.

An open issue on the AWS Health Dashboard (archived copy at the time of writing) popped up at 1:33 am Pacific time on Friday informing users that Cost Explorer was “reflecting inaccurate estimated billing data.” As of writing, the issue is still unresolved despite AWS trying several different things to get it fixed. The company apparently identified the root cause within an hour and a half of beginning its investigation, only describing it as “an issue with unit pricing within the estimated billing computation subsystem.”

AWS followed up by pausing estimated bill updates, saying customers would continue to see the inflated figures already displayed, but that those estimates would not increase further. “The displayed billing estimates do not reflect actual usage and charges,” AWS explained, noting that customers don’t need to take any action, like, we imagine, flooding the help portal with tickets telling them what they already know, for instance.

“Once the issue has been mitigated, we expect full resolution to take multiple hours as we work through recomputing the estimated billing data,” AWS added. After we first published this article, Amazon updated the issue page to indicate that it had identified the root cause and mitigated the underlying issue. The company says that it’s begun backfilling data in the Cost Management Console to correct billing numbers, and that all customers should see corrected amounts by Saturday, July 18 at noon pacific time.

Writing in a lengthy post on the Linux kernel mailing list this week, Torvalds said that “Linux is not one of those anti-AI projects, and if somebody has issues with that, they can do the open-source thing and fork it. Or just walk away.” The statement came amid a lengthy thread arguing about the use of Sashiko, an “agentic Linux kernel code review system” that its creators claim can, in tests, independently find 53.6 percent of the bugs that would end up being fixed by human coders in later commits. But the tool can also waste maintainers’ time by sending “false positive” reports of bugs that don’t exist, at a rate Sashiko’s maintainers estimate is “well within [the] 20% range.”

In discussing whether maintainers should be subjected to a flood of these kinds of automated, AI-powered bug report emails (true or false), one poster cited the Software Freedom Conservancy’s recent statement that the open source community “should support, not just tolerate, those who outright reject LLM-gen-AI systems” and that “every FOSS contributor deserves self-determination regarding LLM-gen-AI.” In the face of that statement, Torvalds said that he rejects those who demand that their open source projects not accept any LLM-generated code or revisions. “We’re not forcing anybody to use [LLM tools], but I will very loudly ignore people who try to argue against other people from using it,” Torvalds said.

Torvalds said his position on this is a pragmatic one that’s “based on technical merit. Not fear of new tools.” And when it comes to utility, Torvalds said that “AI is a tool, just like other tools we use. And it’s clearly a useful one. It may not have been that ‘clearly’ even just a year ago, but it’s no longer in question today. Anybody who doubts that clearly hasn’t actually used it.” […] While Torvalds acknowledged that “AI isn’t perfect,” he urged detractors to compare the output of these tools to the performance of human code maintainers. “Anybody who points to the problems at AI had better be looking in the mirror and pointing at themselves at the same time,” Torvalds wrote. “Because it’s not like natural intelligence is always all that great either.”

Kimi K3, a massive new model by Beijing-based Moonshot AI, threatens the foundations of Americas AI boom. Its release Thursday dazzled developers, jolted Silicon Valley and reset the AI race overnight. Kimi immediately vaulted into the top tier of global AI, beating Anthropic’s Fable 5 and OpenAI’s GPT-5.6 Sol in front-end coding tests by AI evaluator Arena.

In Arenas broader text ranking, Kimi finished ahead of Anthropics Opus 4.8 — the company’s flagship model until Fable 5 arrived in June — while costing 40% less. Unlike the premium U.S. models its challenging, Moonshot plans to release Kimi as an open-weight model on July 27 — allowing companies and governments to customize and run it on their own systems.

Kimi’s arrival suggests that cushion may have collapsed far faster than expected. “The entire game has changed. I expect this will trigger some code red for some,” AI analyst Kim Isenberg predicted. For companies, governments and developers, a model that performs near the frontier, costs 40% less and can be customized or run in-house may be the more attractive option. Its very existence puts pressure on the pricing power of U.S. labs, the enormous valuations built around their technological edge, and the case for spending hundreds of billions of dollars on ever-larger data centers.

On Tuesday, the FBI arrested Zyaire Wilkins, a 21-year-old Florida resident and student. On Wednesday, prosecutors accused him and a number of unnamed co-conspirators of hacking crimes. Over the past two years, Wilkins and his partners allegedly published several malware-laden video games on Steam, including BlockBlasters, Dashverse, Lampy, Lunara, and PirateFi. Using that malware, says the FBI, Wilkins and his accomplices infected around 8,000 victims, and then hacked around 80 cryptocurrency wallets to steal at least $220,000 worth of crypto. Wilkins and the others marketed their malicious video games on Discord, LinkedIn, and Telegram, according to the authorities.

[…] After the FBI identified another person involved in the crimes, according to the complaint, federal agents interviewed them. The unnamed person said they worked with other people to raise money to launch and market the malicious games in return for sharing some of the stolen cryptocurrency. The FBI identified a specific crypto account involved in the scheme, and then traced cryptocurrency payments made with that account to buy several gift cards, including for UberEats. After subpoenaing Uber, the feds were able to see that the gift cards were linked to an account that made deliveries to Wilkins, who went by the nickname Sibel.eth online, according to the complaint. The feds then got a search warrant for Wilkins’ residence, where they seized his MacBook laptop, cellphones, other devices, and digital wallets. According to the complaint, he refused to speak or answer any questions.

Access to enough AI chips remains a challenge for firms like Anthropic, which places usage limits on its most advanced models like Fable. […] Meta could spend as much as $145 billion on capital expenditures, including for AI infrastructure, in 2026. Last October, Zuckerberg said that companies are regularly “asking if we have compute that they could buy from us at some premium to what we’ve bought it at.”

Apple has reportedly sent legal letters to dozens of former Apple employees now working at OpenAI, telling them to preserve potentially relevant documents and communications as it continues to pursue its trade secret lawsuit against the AI company. The Financial Times (paywalled) reports that Apple has targeted around 40 former employees with legal preservation letters, acting on its belief that the alleged misappropriation of confidential information may extend beyond the individuals named in its original complaint.

The development follows Apple’s lawsuit filed last week against OpenAI, in which the company alleges a coordinated effort to obtain confidential information relating to its hardware engineering and product development. Apple claims OpenAI recruited key engineers, including former Apple executives Tang Tan and Chang Liu, and benefited from proprietary designs, manufacturing processes, and other trade secrets. Tan is OpenAI’s Chief Hardware Officer and a 24-year Apple veteran who led product design, while Liu is on the hardware team at OpenAI after working as a senior system electrical engineer at Apple.

According to the sources, Kalshi alerted its regulator, the Commodity Futures Trading Commission (CFTC), to the suspicious activity on its “Mentions” market, where users can bet on whether specific words, phrases or topics are uttered during a public speech. “Our surveillance team promptly flagged and referred these trades to the CFTC, and we are cooperating and assisting regulators,” Kalshi’s head of enforcement, Bobby DeNault, said in a statement provided to ABC News.

White House Press Secretary Karoline Leavitt told reporters Thursday afternoon, following ABC News’ report, that Perez has been put on unpaid administrative leave. Leavitt said she spoke with President Trump about it, and he thought it was a “disgrace” and made the decision himself to put Perez on unpaid leave. Leavitt said she was unaware of any other White House staffers who have made such trades. “The White House has strict ethics guidelines that we expect all staffers and officials to follow,” said White House spokesperson Davis Ingle when contacted by ABC News.

In addition to February’s State of the Union address, sources said CFTC investigators discovered that Perez placed bets on more than a dozen Trump speeches over a three-month period, including a December primetime address, a January speech at the World Economic Forum in Davos, Switzerland, and Trump’s remarks in March during a Medal of Honor ceremony.

While he was “extremely happy” and thanked Microsoft for its help recovering his account and all the invaluable information therein, he levied some criticisms toward the brand for its initial response, claiming it had told him the suspension was “irreversible” at first. “It’s unfortunate that such a big company can bring back your account if you ask them to,” he said. “The way it all went, to me, is a little bit shady, because it’s not that they can’t bring back your account — they won’t bring back your account if you’re a nobody.”

Khane credited the community for making his story go viral and bringing it to Microsoft’s attention, but felt that without their help, he would have been up a creek without a paddle. He also tied the situation to the growing conversation surrounding digital ownership, comparing it to Sony’s decision to stop printing physical game discs starting January 2028.

This exoplanet, or planet outside of our solar system, was first discovered in 2017 by a team led by astronomer Jason Dittmann who is now a co-author on this new discovery. “This planet was found like 10 years ago, and we’re just now saying, okay, that’s an atmosphere,” Dittman told Space.com. “We’re slowly narrowing the gap and checking these boxes … we’re finding a planet that’s rocky, a planet that’s of the right temperature and now … it’s like okay, we finally found one that has an atmosphere.”

And being a rocky planet, “there’s definitely a surface … it’s made of rocks,” Dittman said. What does the planet’s surface look like? We can’t say yet, but the researchers who found this planet’s atmosphere think there’s a good chance it could have water. While it orbits a red dwarf star, which is smaller and cooler than the sun, it orbits closer than we do to our star, maintaining a temperature that keeps the planet in the “Goldilocks zone” where liquid water could exist on its surface. “It probably also has a lot of water,” Cherubim said. “If it has some amount of atmosphere that can provide a bit of a greenhouse effect, which we know that it does now … it will very likely be what we consider to be habitable conditions on Earth, and conditions that would likely support liquid water.”

So is it Earth-like? While it’s certainly not an Earth copy, this planet can be considered Earth-like in two main ways, Cherubim shared. One: its overall composition. The planet is rocky, likely with an iron core and (now we know) it has an atmosphere. And two: the planet’s temperature is just right for liquid water, which is necessary for life at least as far as we understand it on our planet. […] “I’m not claiming this planet has life,” Cherubim made clear. With further investigation, scientists could better understand what else might be in this planet’s atmosphere, and they could confirm if it has water. Further observations might not be able to confirm habitability or identify any life on the planet, but they could at least help us to better understand planets like this.

Trump Media & Technology Group has unveiled a paid-for, licensed data feed that will give banks and trading firms “the fastest” access to posts from influential Truth Social accounts, such as President Donald Trump’s, whose posts often move global markets. The product, called ‘Truth API,’ will deliver posts from the 10 most influential accounts to customers at a significantly faster pace than a regular push notification on the Truth Social platform, a spokesperson said. The feed is designed for organizations “most impacted by the cost of a delay in information,” such as algorithmic trading firms, the company said in a statement. “Until now… firms that prioritize tracking influential Truth posts have relied on manual monitoring. Truth API closes the gap.”

In an order, the CCI said that HP India worked with five resellers to coordinate their bid prices for government contracts to increase the chances of an HP partner winning the contracts. The company was fined 1.3 billion rupees (about $13.1 million). […] HP was also fined 119.8 million rupees (about $1.2 million) for “indulging in cartelization in sale and supply of supplies products comprising of toner, cartridges, and other consumable used with print hardware products,” CCI said in its announcement. The agency also fined 21 HP resellers 35.2 million rupees (about $365,335).

In a separate order, the CCI said that WhatsApp records showed that HP and 16 of its Tier-2 reseller partners operated “in a collusive arrangement” and that the messages show the companies engaging in “bid rigging, including cover bidding, price fixation, and customer allocation during 2017-2020.” HP India played a central role, the regulator said.

Per the order, HP India said that high printing supply prices led some resellers to threaten to “shift to low-cost counterfeit products to compete on price.” “HP India was commercially forced into a position where it had to support the collusive arrangement adopted by the Tier-2 resellers,” the order reads. For its part, the order said that HP India “humbly objects to HP India’s role being characterized as a ‘kingpin’ of the entire collusive arrangement.” […] The CCI also ordered HP India and its channel partners to “cease and desist from anti-competitive conduct” and to hold competition compliance training programs within 60 days.

As AI-related demand continues to jump and needs for computing power from data centers surge, TSMC has been expanding chip fabrication plants in the U.S., Japan and Taiwan. It said it is increasing its annual capital expenditure budget for this year to $60 billion-$64 billion, up from an earlier estimate of $52 billion-$56 billion.

TSMC, or Taiwan Semiconductor Manufacturing Co., is a key supplier to Nvidia and Apple. It had previously already committed $165 billion in the U.S. for building plants in Arizona, with six fabrication facilities planned. The extra $100 billion in investments are to “support the strong multiyear demand from our leading U.S. customers,” C.C. Wei, chairman and CEO of TSMC, said during the company’s quarterly earnings conference Thursday. An additional four fabrication plants in Arizona will likely be built with the new investments, TSMC said. They will focus on making some of the most advanced chips that are 2-nanometer and below.