Intel on Tuesday disclosed $7 billion in operating losses for its foundry business in 2023, "a steeper loss than the $5.2 billion in operating losses the year before," reports Reuters. "The unit had revenue of $18.9 billion for 2023, down 31% from $27.49 billion the year before." From the report: Intel shares were down 4.3% after the documents were filed with the U.S. Securities and Exchange Commission (SEC). During a presentation for investors, Chief Executive Pat Gelsinger said that 2024 would be the year of worst operating losses for the company's chipmaking business and that it expects to break even on an operating basis by about 2027. Gelsinger said the foundry business was weighed down by bad decisions, including one years ago against using extreme ultraviolet (EUV) machines from Dutch firm ASML. While those machines can cost more than $150 million, they are more cost-effective than earlier chip making tools.

Partially as a result of the missteps, Intel has outsourced about 30% of the total number of wafers to external contract manufacturers such as TSMC, Gelsinger said. It aims to bring that number down to roughly 20%. Intel has now switched over to using EUV tools, which will cover more and more production needs as older machines are phased out. "In the post EUV era, we see that we're very competitive now on price, performance (and) back to leadership," Gelsinger said. "And in the pre-EUV era we carried a lot of costs and (were) uncompetitive." Editor's note: This story has been corrected to change the 2022 revenue figure for Intel Foundry to $27.49 billion, as reflected in the source article. We apologize for the math error.

Bitcoin fell more than 4.76% on Tuesday to $66,134 amid rising Treasury yields and strength in the U.S. dollar. CNBC reports: On Monday morning, it was trading at about $70,000 before data came out showing growth in the manufacturing sector for the first time since September 2022 and investor bets on June rate cuts began to cool. Bitcoin is now off its all-time high, reached on March 14, by about 11%. Ether went down with it, losing 5.6% to trade at $3,240.27. Meanwhile, the 10-year U.S. Treasury yield hit its highest level of the year and the dollar, which has an inverse relationship with bitcoin, hit a five-month high.

Bitcoin's move may have been exacerbated by a large bitcoin holder, or "whale," who transferred more than 4,000 bitcoin to the Bitfinex exchange late Monday night. Data from CryptoQuant shows a spike in that exchange's reserves -- which typically signals a boost in selling activity -- that coincides with the sudden drop in bitcoin price late Monday night. Stocks tied to the performance of bitcoin were dragged down but traded off their lows to end the day.

Lindsay Clark reports via The Register: Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the LLM bandwagon. The biz, founded around Apache Spark, published a slew of benchmarks claiming its general-purpose LLM -- dubbed DBRX -- beat open source rivals on language understanding, programming, and math. The developer also claimed it beat OpenAI's proprietary GPT-3.5 across the same measures.

DBRX was developed by Mosaic AI, which Databricks acquired for $1.3 billion, and trained on Nvidia DGX Cloud. Databricks claims it optimized DBRX for efficiency with what it calls a mixture-of-experts (MoE) architecture â" where multiple expert networks or learners divide up a problem. Databricks explained that the model possesses 132 billion parameters, but only 36 billion are active on any one input. Joel Minnick, Databricks marketing vice president, told The Register: "That is a big reason why the model is able to run as efficiently as it does, but also runs blazingly fast. In practical terms, if you use any kind of major chatbots that are out there today, you're probably used to waiting and watching the answer get generated. With DBRX it is near instantaneous."

But the performance of the model itself is not the point for Databricks. The biz is, after all, making DBRX available for free on GitHub and Hugging Face. Databricks is hoping customers use the model as the basis for their own LLMs. If that happens it might improve customer chatbots or internal question answering, while also showing how DBRX was built using Databricks's proprietary tools. Databricks put together the dataset from which DBRX was developed using Apache Spark and Databricks notebooks for data processing, Unity Catalog for data management and governance, and MLflow for experiment tracking.

An anonymous reader shares a report: The management-consulting giant McKinsey is dangling career-coaching services and nine months' worth of pay to staffers keen on leaving the firm, the British newspaper The Times reported on Saturday. The Times reported that managers for McKinsey's UK offices could spend up to nine months searching for a job instead of working on client projects. Besides continuing to receive their salary, managers would have access to McKinsey's resources and career-coaching services, per The Times. But staffers would still have to leave McKinsey even if their job hunt proved unsuccessful.

The offer has been extended to managers working at McKinsey's US offices, though the pay duration could be different, The Times said, citing people familiar with the situation. A spokesperson for McKinsey did not confirm the specifics of The Times' reporting but told the outlet that the company's mission was to help staffers "grow into leaders, whether they stay at McKinsey or continue their careers elsewhere." "These actions are part of our ongoing effort to ensure our performance management and development approach is as effective as possible, and to do so in a caring and supportive way," the spokesperson continued.

Zac Hall reports via 9to5Mac: In a newly published research paper (PDF), Apple's AI gurus describe a system in which Siri can do much more than try to recognize what's in an image. The best part? It thinks one of its models for doing this benchmarks better than ChatGPT 4.0. In the paper (ReALM: Reference Resolution As Language Modeling), Apple describes something that could give a large language model-enhanced voice assistant a usefulness boost. ReALM takes into account both what's on your screen and what tasks are active. [...] If it works well, that sounds like a recipe for a smarter and more useful Siri.

Apple also sounds confident in its ability to complete such a task with impressive speed. Benchmarking is compared against OpenAI's ChatGPT 3.5 and ChatGPT 4.0: "As another baseline, we run the GPT-3.5 (Brown et al., 2020; Ouyang et al., 2022) and GPT-4 (Achiam et al., 2023) variants of ChatGPT, as available on January 24, 2024, with in-context learning. As in our setup, we aim to get both variants to predict a list of entities from a set that is available. In the case of GPT-3.5, which only accepts text, our input consists of the prompt alone; however, in the case of GPT-4, which also has the ability to contextualize on images, we provide the system with a screenshot for the task of on-screen reference resolution, which we find helps substantially improve performance."

So how does Apple's model do? "We demonstrate large improvements over an existing system with similar functionality across different types of references, with our smallest model obtaining absolute gains of over 5% for on-screen references. We also benchmark against GPT-3.5 and GPT-4, with our smallest model achieving performance comparable to that of GPT-4, and our larger models substantially outperforming it." Substantially outperforming it, you say? The paper concludes in part as follows: "We show that ReaLM outperforms previous ap- proaches, and performs roughly as well as the state- of-the-art LLM today, GPT-4, despite consisting of far fewer parameters, even for onscreen references despite being purely in the textual domain. It also outperforms GPT-4 for domain-specific user utterances, thus making ReaLM an ideal choice for a practical reference resolution system that can exist on-device without compromising on performance."

The surge of money flooding into AI has resulted in some crypto-like hype that is obscuring the incredible scientific progress in the field, according to Sir Demis Hassabis, co-founder of DeepMind. From a report: The chief executive of Google's AI research division told the Financial Times that the billions of dollars being poured into generative AI start-ups and products "brings with it a whole attendant bunch of hype and maybe some grifting and some other things that you see in other hyped-up areas, crypto or whatever."

"Some of that has now spilled over into AI, which I think is a bit unfortunate. And it clouds the science and the research, which is phenomenal," he added. "In a way, AI's not hyped enough but in some senses it's too hyped. We're talking about all sorts of things that are just not real." The launch of OpenAI's ChatGPT chatbot in November 2022 sparked an investor frenzy as start-ups raced to develop and deploy generative AI and attract venture capital funding. VC groups invested $42.5bn in 2,500 AI start-up equity rounds last year, according to market analysts CB Insights. Public market investors have also rushed into the so-called Magnificent Seven technology companies, including Microsoft, Alphabet and Nvidia, that are spearheading the AI revolution. Their rise has helped to propel global stock markets to their strongest first-quarter performance in five years.

"After taking a look at Floorp Browser, I was left wondering whether there was a Chromium-based web browser that was as good, or even better than Chrome," writes a "First Look" reviewer at It's Foss News.

"That is when I came across Thorium, a web-browser that claims to be the 'the fastest browser on Earth'." [Thorium] is backed by a myriad of tweaks that include, compiler optimizations for SSE4.2, AVS, AES, various mods to CFLAGS, LDFLAGS, thinLTO flags, and more. The developer shares performance stats using popular benchmarking tools... I tested it using Speedometer 3.0 benchmark on Fedora 39 and compared it to Brave, and the scores were:

Thorium: 19.2; Brave: 19.5

So, it may not be the "fastest" always, probably one of the fastest, that comes close to Brave or sometimes even beats it (depends on the version you tested it and your system).

Alexander Frick, the lead developer, also insists on providing support for older operating systems such as Windows 7 so that its user base can use a capable modern browser without much fuss... As Thorium is a cross-platform web browser, you can find packages for a wide range of platforms such as Linux, Raspberry Pi, Windows, Android, macOS, and more.
Thorium can sync to your Google account to import your bookmarks, extensions, and themes, according to the article.

"Overall, I can confidently say that it is a web browser I could daily drive, if I were to ditch Chrome completely. It gels in quite well with the Google ecosystem and has a familiar user interface that doesn't get in the way."

"Google is testing the ability to automatically archive and delete inactive tabs in Chrome on Android," writes Windows Report: The experimental feature, called Tab Declutter, aims to simplify tab management by automating the process... After a set period of inactivity, Chrome will automatically archive inactive tabs. You will no longer see the archived tabs but you will be able to retrieve them if needed.

As for deleting the tabs, you can set Chrome to remove them after a longer period of inactivity. This feature will free up memory and improve the browser's performance. Obviously, you will have control over the archival threshold and the period of time after which the browser takes action... obviously, you will have control over the archival threshold and the period of time after which the browser takes action

"After being in development since 2019, the huge NetBSD 10.0 is out today as a wonderful Easter surprise," reports Phoronix: NetBSD 10 provides WireGuard support, support for many newer Arm platforms including for Apple Silicon and newer Raspberry Pi boards, a new Intel Ethernet drive, support for Realtek 2.5GbE network adapters, SMP performance improvements, automatic swap encryption, and an enormous amount of other hardware support improvements that accumulated over the past 4+ years.

Plus there is no shortage of bug fixes and performance optimizations with NetBSD 10. Some tests of NetBSD 10.0 in development back during 2020 showed at that point it was already 12% faster than NetBSD 9.
"A lot of development went into this new release," NetBSD wrote on their blog, saying "This also caused the release announcement to be one of the longest we ever did."

Among the new userspace programs is warp(6), which they describe as a "classic BSD space war game (copyright donated to the NetBSD Foundation by Larry Wall)."

A Linux Foundation subsidiary has developed a free and open-source 3D game engine distributed under the Apache license. And last week the Open 3D Foundation announced "a big step forward, showcasing the power of open-source technologies in giving gamers around the globe unforgettable gaming experiences."

"We are proud to unveil MadWorld as the first mobile title powered by O3DE," said Joe Bryant, Executive Director of the Open 3D Foundation, "demonstrating the large potential of open-source technologies in game development."

And then this week Los Angeles Business Journal reported that El Segundo-based gaming studio Carbonated Inc. "has raised $11 million of series A funding to finance the development and release of its debut game title... Prior to its most recent round, Carbonated closed an $8.5 million seed funding round in 2020, which also included participation from Andreessen and Bitkraft." Since its founding [in 2015], the company has been focusing on research and development for its upcoming first title, called "MadWorld." The third-person, multiplayer shooter game is set in a post-apocalyptic world and features both player-versus-player and player-versus-environment features. Players of the game will battle for land control in a dystopian setting. Using a combination of open-source mapping tools and Carbonated's proprietary custom operations technology, called Carbyne, the game's world is designed around real-life cities and locations. Players are initially dropped into the game's version of their own real-time location.

The game allows players to optionally engage using blockchain technology with a digital asset-ownership layer powered by a blockchain network called XPLA.
Earlier this month Madworld "opened up for Early Access registration," reports the egamers web site, arguing that the game "is set to redefine the gaming landscape and will make its public debut later this year." After a catastrophic event named "The Collapse," MadWorld takes place in a desolate Earth where players engage in a battle for survival, highlighting the game's unique setting and immersive experience. The game's world is intricately designed with 250,000 land plots mapped out on a hexagonal grid, each presenting unique resources and strategic benefits. This innovative approach to game design enhances the gameplay experience and introduces a new layer of strategy and competition.

MadWorld's gameplay is centered around integrating Web3 technologies, which allows for the ownership, enhancement, and trading of tokenized representations of real-world locations. This feature encourages players to create clans and work together or compete for essential resources that are spread across the vast game world. Clans can acquire these resources by paying tributes to NFT landowners using "Rounds," the in-game currency. This mechanism not only fosters a sense of community and teamwork but also creates unique economic opportunities within the game by blending traditional gaming elements with the emerging field of digital assets.
"With its use of O3DE, Carbonated can enhance the game's visual fidelity, performance, and scalability," according to the Linux Foundation's announcement, "in order to deliver a fast-paced adventure on mobile platforms." O3DE is an open-source game engine developed by a collaborative community of industry experts. It includes state-of-the-art rendering capabilities, dynamic lighting, and realistic physics simulation. These features have enabled Carbonated to build realistic dystopian environments and create action-packed gameplay in MadWorld.
According to its official site, MadWorld "is set to be released to the public sometime in 2024 and is currently being tested on iOS and Android operating systems."

Carbonated's CEO Travis Boatman made this prediction to the site Decrypt. "We think mobile is where the breakout will happen for Web3."

In November of 2021 America passed a "Bipartisan Infrastructure Law" which included $7.5 billion for up to 20,000 EV charging spots, or around 5,000 stations, notes the Washington Post (citing an analysis from the EV policy analyst group Atlas Public Policy).

And new stations are now already open in Hawaii, New York, Ohio and Pennsylvania, "and under construction in four other states. Twelve additional states have awarded contracts for constructing the charging stations." A White House spokesperson said America should reach its goal of 500,000 charging stations by 2026.

So why is it that right now — more than two years after the bill's passage — why does the Federal Highway System say the program has so far only delivered seven open charging stations with a total of 38 charging spots? Nick Nigro, founder of Atlas Public Policy, said that some of the delays are to be expected. "State transportation agencies are the recipients of the money," he said. "Nearly all of them had no experience deploying electric vehicle charging stations before this law was enacted." Nigro says that the process — states have to submit plans to the Biden administration for approval, solicit bids on the work, and then award funds — has taken much of the first two years since the funding was approved. "I expect it to go much faster in 2024," he added.

"We are building a national EV charging network from scratch, and we want to get it right," a spokesperson for the Federal Highway Administration said in an email. "After developing program guidance and partnering with states to guide implementation plans, we are hitting our stride as states move quickly to bring National Electric Vehicle Infrastructure stations online...."

Part of the slow rollout is that the new chargers are expected to be held to much higher standards than previous generations of fast chargers. The United States currently has close to 10,000 "fast" charging stations in the country, of which over 2,000 are Tesla Superchargers, according to the Department of Energy. Tesla Superchargers — some of which have been opened to drivers of other vehicles — are the most reliable fast-charging systems in the country. But many non-Tesla fast chargers have a reputation for poor performance and sketchy reliability. EV advocates have criticized Electrify America, the company created by Volkswagen after the company's "Dieselgate" emissions scandal, for spending hundreds of millions of dollars on chargers that don't work well. The company has said they are working to improve reliability. The data analytics company J.D. Power has estimated that only 80 percent of all charging attempts in the country are successful.

Biden administration guidance requires the new publicly funded chargers to be operational 97% of the time, provide 150kW of power at each charger, and be no more than one mile from the interstate, among many other requirements.EV policy experts say those requirements are critical to building a good nationwide charging program — but also slow down the build-out of the chargers. "This funding comes with dozens of rules and requirements," Laska said. "That is the nature of what we're trying to accomplish....

"States are just not operating with the same urgency that some of the rest of us are."
The article notes that private companies are also building charging stations — but the publicly-funded spots would increase America's car-charging capacity by around 50 percent, "a crucial step to alleviating 'range anxiety' and helping Americans shift into battery electric cars.

"States just have to build them first."

Apple has sued its former employee Andrew Aude for leaking information about more than a half-dozen Apple products and policies, including its then-unannounced Journal app and Vision Pro headset, product development policies, strategies for regulatory compliance, employee headcounts, and more. MacRumors reports: Aude joined Apple as an iOS software engineer in 2016, shortly after graduating college. He worked on optimizing battery performance, making him "privy to information regarding dozens of Apple's most sensitive projects," according to the complaint. In April 2023, for example, Apple alleges that Aude leaked a list of finalized features for the iPhone's Journal app to a journalist at The Wall Street Journal on a phone call. That same month, The Wall Street Journal's Aaron Tilley published a report titled "Apple Plans iPhone Journaling App in Expansion of Health Initiatives."

Using the encrypted messaging app Signal, Aude is said to have sent "over 1,400" messages to the same journalist, who Aude referred to as "Homeboy." He is also accused of sending "over 10,000 text messages" to another journalist at the website The Information, and he allegedly traveled "across the continent" to meet with her. Other leaks relate to the Vision Pro and other hardware: "As another example, an October 2020 screenshot on Mr. Aude's Apple-issued work iPhone shows that he disclosed Apple's development of products within the spatial computing space to a non-Apple employee. Mr. Aude made this disclosure even though Apple's development efforts were confidential and not known to the public. Over the following months, Mr. Aude disclosed additional Apple confidential information -- including information concerning unannounced products, and hardware information."

Apple believes that Aude's actions were "extensive and purposeful," with Aude allegedly admitting that he leaked information so he could "kill" products and features with which he took issue. The company alleges that his wrongful disclosures resulted in at least five news articles discussing the company's confidential and proprietary information. Apple says these public revelations impeded its ability to "surprise and delight" with its latest products. Apple said it learned of Aude's wrongful disclosures in late 2023, and the company fired him for his alleged misconduct in December of that year. [...] Apple is seeking both compensatory and punitive damages in an amount to be determined at trial, and it is also seeking other legal remedies. The full complaint can be read here (PDF).

The Palisades Nuclear Plant in Michigan has won a $1.5 billion conditional federal loan to reopen after being closed for decommissioning in 2022. Canary Media reports: If the loan is granted (subject to Holtec meeting closing conditions) and the 800-megawatt reactor located on Lake Michigan is repowered, it would be the first nuclear plant in the U.S. to reopen after being closed for decommissioning. Surprisingly, it would be just the second or third reactor to restart in the history of global civil nuclear power, according to Mycle Schneider, lead author of the World Nuclear Industry Status Report 2023, in an interview with Bulletin of the Atomic Scientists.

Holtec purchased Palisades a month after it shut down with plans to mothball the site, but plans changed. Now the firm, which specializes in nuclear waste management and decommissioning (as opposed to rebuilding and operating nuclear plants), intends to revive the plant instead. Holtec plans to get the power plant restarted by the end of 2025, a breathtakingly aspirational target given nuclear's history of missing construction and cost targets. The Palisades plant was closed by utility Entergy in May 2022 due to financial issues after operating for more than a half-century. And while the plant had a strong operational performance record in recent years, it also has a sobering history of shutdowns due to failures of critical equipment, as well as broken fuel rods and fuel-spill incidents. The site was shut down for the final time a few days ahead of schedule due to concerns about the reliability of a key piece of equipment.

When it was operating at its peak, the plant provided more than 600 high-paying jobs, many unionized. If restarted, the plant could drive up to $363 million in regional economic impact, according to Michigan Governor Gretchen Whitmer, a Democrat. That's why Whitmer and a bipartisan coalition of lawmakers back resurrecting the retired reactor. Local business owners and residents are "largely supportive" of the plan as well, according to local news site MLive. The state's 2024 budget devotes $150 million to the project. Still, the revival of the dormant Palisades faces its share of headwinds.

Michael Larabel reports via Phoronix: Given the recent change by Redis to adopt dual source-available licensing for all their releases moving forward (Redis Source Available License v2 and Server Side Public License v1), the Linux Foundation announced today their fork of Redis. The Linux Foundation went public today with their intent to fork Valkey as an open-source alternative to the Redis in-memory store. Due to the Redis licensing changes, Valkey is forking from Redis 7.2.4 and will maintain a BSD 3-clause license. Google, AWS, Oracle, and others are helping form this new Valkey project.

The Linux Foundation press release shares: "To continue improving on this important technology and allow for unfettered distribution of the project, the community created Valkey, an open source high performance key-value store. Valkey supports the Linux, macOS, OpenBSD, NetBSD, and FreeBSD platforms. In addition, the community will continue working on its existing roadmap including new features such as a more reliable slot migration, dramatic scalability and stability improvements to the clustering system, multi-threaded performance improvements, triggers, new commands, vector search support, and more. Industry participants, including Amazon Web Services (AWS), Google Cloud, Oracle, Ericsson, and Snap Inc. are supporting Valkey. They are focused on making contributions that support the long-term health and viability of the project so that everyone can benefit from it."

Anthropic's recently released Claude 3 Opus large language model has beaten OpenAI's GPT-4 for the first time on Chatbot Arena, a popular crowdsourced leaderboard used by AI researchers to gauge the relative capabilities of AI language models. A report adds: "The king is dead," tweeted software developer Nick Dobos in a post comparing GPT-4 Turbo and Claude 3 Opus that has been making the rounds on social media. "RIP GPT-4."

Since GPT-4 was included in Chatbot Arena around May 10, 2023 (the leaderboard launched May 3 of that year), variations of GPT-4 have consistently been on the top of the chart until now, so its defeat in the Arena is a notable moment in the relatively short history of AI language models. One of Anthropic's smaller models, Haiku, has also been turning heads with its performance on the leaderboard.

"For the first time, the best available models -- Opus for advanced tasks, Haiku for cost and efficiency -- are from a vendor that isn't OpenAI," independent AI researcher Simon Willison told Ars Technica. "That's reassuring -- we all benefit from a diversity of top vendors in this space. But GPT-4 is over a year old at this point, and it took that year for anyone else to catch up." Chatbot Arena is run by Large Model Systems Organization (LMSYS ORG), a research organization dedicated to open models that operates as a collaboration between students and faculty at University of California, Berkeley, UC San Diego, and Carnegie Mellon University.

Google is releasing an optimized version of its Chrome browser for Windows on Arm this week, the search giant has announced alongside chipmaker Qualcomm. From a report: The official release comes two months after an early version of the browser was spotted in Chrome's Canary channel. Qualcomm says the release "will roll out starting today."

The release will be a big deal for any Chrome users with Windows machines powered by Arm-based processors, who'll now have access to a much faster native browser. That's in contrast to the x64 version of Chrome they've previously had to run in an emulated state with slow performance. Arm-based users have previously been able to turn to Microsoft's Edge, which is already available for Windows on Arm devices.

An anonymous reader shares a report: Nvidia earned its $2.2 trillion market cap by producing AI chips that have become the lifeblood powering the new era of generative AI developers from startups to Microsoft, OpenAI and Google parent Alphabet. Almost as important to its hardware is the company's nearly 20 years' worth of computer code, which helps make competition with the company nearly impossible. More than 4 million global developers rely on Nvidia's CUDA software platform to build AI and other apps. Now a coalition of tech companies that includes Qualcomm, Google and Intel, plans to loosen Nvidia's chokehold by going after the chip giant's secret weapon: the software that keeps developers tied to Nvidia chips.

They are part of an expanding group of financiers and companies hacking away at Nvidia's dominance in AI. "We're actually showing developers how you migrate out from an Nvidia platform," Vinesh Sukumar, Qualcomm's head of AI and machine learning, said in an interview with Reuters. Starting with a piece of technology developed by Intel called OneAPI, the UXL Foundation, a consortium of tech companies, plans to build a suite of software and tools that will be able to power multiple types of AI accelerator chips, executives involved with the group told Reuters. The open-source project aims to make computer code run on any machine, regardless of what chip and hardware powers it.

"It's about specifically - in the context of machine learning frameworks - how do we create an open ecosystem, and promote productivity and choice in hardware," Google's director and chief technologist of high-performance computing, Bill Hugo, told Reuters in an interview. Google is one of the founding members of UXL and helps determine the technical direction of the project, Hugo said. UXL's technical steering committee is preparing to nail down technical specifications in the first half of this year. Engineers plan to refine the technical details to a "mature" state by the end of the year, executives said. These executives stressed the need to build a solid foundation to include contributions from multiple companies that can also be deployed on any chip or hardware.

An anonymous reader quotes a report from InterestingEngineering: A concept that began as a doodle at a conference years ago is now becoming a reality. RocketStar Inc. has showcased (PDF) its advanced nuclear-based propulsion technology called the FireStar Drive. It is said to be the world's first electric device for spacecraft propulsion boosted by nuclear fusion. Recently, the company announced the successful initial demonstration of this electric propulsion technology.

The FireStar Drive harnesses the power of nuclear fusion to improve the performance of RocketStar's "water-fueled pulsed plasma thruster." A spacecraft's thrusters perform various functions, including propulsion, orbital changes, and even docking with other orbiting platforms. Moreover, the device employs a unique sort of aneutronic nuclear fusion, which is a fusion reaction that generates few to no neutrons as a byproduct. "The base thruster generates high-speed protons through the ionization of water vapor," noted the press release. Therefore, these protons collide with the nucleus of a boron atom, which starts the fusion reaction. The FireStar Drive begins a fusion process by adding boron into the thruster exhaust, resulting in high-energy particles that increase thrust.

RocketStar's current thruster is dubbed M1.5. Plans to test the FireStar Drive are now ongoing. The in-space technological demonstration will take place aboard D-Orbit's patented OTV ION Satellite Carrier. The SpaceX Transporter rideshare mission will likely launch the demo test in July and October 2024. Furthermore, the team plans to undertake ground tests this year, with more in-space demonstrations scheduled for February 2025. The FireStar Drive will undergo testing as a payload aboard Rogue Space System's Barry-2 spacecraft in the same month. The thruster M1.5 is already ready for delivery to clients.

"There is a new side channel attack against Apple 'M' series CPUs that does not appear to be fixable without a major performance hit," writes Slashdot reader EncryptedSoldier. SecurityWeek reports: A team of researchers representing several universities in the United States has disclosed the details of a new side-channel attack method that can be used to extract secret encryption keys from systems powered by Apple CPUs. The attack method, dubbed GoFetch, has been described as a microarchitectural side-channel attack that allows the extraction of secret keys from constant-time cryptographic implementations. These types of attacks require local access to the targeted system. The attack targets a hardware optimization named data memory-dependent prefetcher (DMP), which attempts to prefetch addresses found in the contents of program memory to improve performance.

The researchers have found a way to use specially crafted cryptographic operation inputs that allow them to infer secret keys, guessing them bits at a time by monitoring the behavior of the DMP. They managed to demonstrate end-to-end key extraction attacks against several crypto implementations, including OpenSSL Diffie-Hellman Key Exchange, Go RSA, and the post-quantum CRYSTALS-Kyber and CRYSTALS-Dilithium. The researchers have conducted successful GoFetch attacks against systems powered by Apple M1 processors, and they have found evidence that the attack could also work against M2 and M3 processors. They have also tested an Intel processor that uses DMP, but found that it's 'more robust' against such attacks.

The experts said Apple is investigating the issue, but fully addressing it does not seem trivial. The researchers have proposed several countermeasures, but they involve hardware changes that are not easy to implement or mitigations that can have a significant impact on performance. Apple told SecurityWeek that it thanks the researchers for their collaboration as this work advances the company's understanding of these types of threats. The tech giant also shared a link to a developer page that outlines one of the mitigations mentioned by the researchers. The researchers have published a paper (PDF) detailing their work.

Ars Technica's Dan Goodin also reported on the vulnerability.

DOJ, in the court filing (PDF): Many prominent, well-financed companies have tried and failed to successfully enter the relevant markets because of these entry barriers. Past failures include Amazon (which released its Fire mobile phone in 2014 but could not profitably sustain its business and exited the following year); Microsoft (which discontinued its mobile business in 2017); HTC (which exited the market by selling its smartphone business to Google in September 2017); and LG (which exited the smartphone market in 2021). Today, only Samsung and Google remain as meaningful competitors in the U.S. performance smartphone market. Barriers are so high that Google is a distant third to Apple and Samsung despite the fact that Google controls development of the Android operating system.