Chad Anderson is the founder/managing partner of the early-stage VC Space Capital (and an investor in SpaceX, along with dozens of other space companies). Space Capital produces quarterly reports on the space economy, and he says today, unlike 2021, "the froth is gone. But so is the hype. What's left is a more grounded — and investable — space economy."

On Yahoo Finance he shares several of the report's insights — including the emergence of "investable opportunities across defense-oriented startups in space domain awareness, AI-driven command systems, and hardened infrastructure." The same geopolitical instability that's undermining public markets is driving national urgency around space resilience. China's simulated space "dogfights" prompted the US Department of Defense to double down on orbital supremacy, with the proposed "Golden Dome" missile shield potentially unleashing a new wave of federal spending...

Defense tech is on fire, but commercial location-based services and logistics are freezing over. Companies like Shield AI and Saronic raised monster rounds, while others are relying on bridge financings to stay afloat...

Q1 also saw a breakout quarter for geospatial artificial intelligence (GeoAI). Software developer Niantic launched a spatial computing platform. SkyWatch partnered with GIS software supplier Esri. Planet Labs collaborated with Anthropic. And Xona Space Systems inked a deal with Trimble to boost precision GPS. This is the next leg of the space economy, where massive volumes of satellite data is finally made useful through machine learning, semantic indexing, and real-time analytics.

Distribution-layer companies are doing more with less. They remain underfunded relative to infrastructure and applications but are quietly powering the most critical systems, such as resilient communications, battlefield networks, and edge-based geospatial analysis. Don't let the low round count fool you; innovation here is quietly outpacing capital.
The article includes several predictions, insights, and possible trends (going beyond the fact that defense spending "will carry the sector...")

• "AI's integration into space (across geospatial intelligence, satellite communications, and sensor fusion) is not a novelty. It's a competitive necessity."

• "Focusing solely on rockets and orbital assets misses where much of the innovation and disruption is occurring: the software-defined layers that sit atop the physical backbone..."

• "For years, SpaceX faced little serious competition, but that's starting to change." [He cites Blue Origin's progress toward approval for launching U.S. military satellites, and how Rocket Lab and Stoke Space "have also joined the competition for lucrative government launch contracts." Even Relativity Space may make a comeback, with former GOogle CEO Eric Schmidt acquiring a controlling stake.]

• "An infrastructure reset is coming. The imminent ramp-up of SpaceX's Starship could collapse the cost structure for the infrastructure layer. When that happens, legacy providers with fixed-cost-heavy business models will be at risk. Conversely, capital-light innovators in station design, logistics, and in-orbit servicing could suddenly be massively undervalued."

Matt Asay answered questions from Slashdot readers in 2010 (as the then-COO of Canonical). He currently runs developer relations at MongoDB (after holding similar positions at AWS and Adobe).

This week he contributed an opinion piece to InfoWorld arguing that DeepSeek "may have originated in China, but it stopped being Chinese the minute it was released on Hugging Face with an accompanying paper detailing its development." Soon after, a range of developers, including the Beijing Academy of Artificial Intelligence (BAAI), scrambled to replicate DeepSeek's success but this time as open source software. BAAI, for its part, launched OpenSeek, an ambitious effort to take DeepSeek's open-weight models and create a project that surpasses DeepSeek while uniting "the global open source communities to drive collaborative innovation in algorithms, data, and systems."

If that sounds cool to you, it didn't to the U.S. government, which promptly put BAAI on its "baddie" list. Someone needs to remind U.S. (and global) policymakers that no single country, company, or government can contain community-driven open source... DeepSeek didn't just have a moment. It's now very much a movement, one that will frustrate all efforts to contain it. DeepSeek, and the open source AI ecosystem surrounding it, has rapidly evolved from a brief snapshot of technological brilliance into something much bigger — and much harder to stop. Tens of thousands of developers, from seasoned researchers to passionate hobbyists, are now working on enhancing, tuning, and extending these open source models in ways no centralized entity could manage alone.

For example, it's perhaps not surprising that Hugging Face is actively attempting to reverse engineer and publicly disseminate DeepSeek's R1 model. Hugging Face, while important, is just one company, just one platform. But Hugging Face has attracted hundreds of thousands of developers who actively contribute to, adapt, and build on open source models, driving AI innovation at a speed and scale unmatched even by the most agile corporate labs.

Hugging Face by itself could be stopped. But the communities it enables and accelerates cannot. Through the influence of Hugging Face and many others, variants of DeepSeek models are already finding their way into a wide range of applications. Companies like Perplexity are embedding these powerful open source models into consumer-facing services, proving their real-world utility. This democratization of technology ensures that cutting-edge AI capabilities are no longer locked behind the walls of large corporations or elite government labs but are instead openly accessible, adaptable, and improvable by a global community.
"It's Linux all over again..." Asay writes at one point. "What started as the passion project of a lone developer quickly blossomed into an essential, foundational technology embraced by enterprises worldwide," winning out "precisely because it captivated developers who embraced its promise and contributed toward its potential."

We are witnessing a similar phenomenon with DeepSeek and the broader open source AI ecosystem, but this time it's happening much, much faster...

Organizations that cling to proprietary approaches (looking at you, OpenAI!) or attempt to exert control through restrictive policies (you again, OpenAI!) are not just swimming upstream — they're attempting to dam an ocean. (Yes, OpenAI has now started to talk up open source, but it's a long way from releasing a DeepSeek/OpenSeek equivalent on GitHub.)

The Trump administration is "taking measures to restrict the sale of AI chips by Nvidia, Advanced Micro Devices and Intel," especially in China, reports the New York Times. But that's triggered a series of dominoes. "In the two days after the limits became public, shares of Nvidia, the world's leading AI chipmaker, fell 8.4%. AMD's shares dropped 7.4%, and Intel's were down 6.8%." (AMD expects up to $800 million in charges after the move, according to CNBC, while NVIDIA said it would take a quarterly charge of about $5.5 billion.)

The Times notes hopeful remarks Thursday from Jensen Huang, CEO of Nvidia, during a meeting with the China Council for the Promotion of International Trade. "We're going to continue to make significant effort to optimize our products that are compliant within the regulations and continue to serve China's market." But America's chipmakers also have a greater fear, according to the article: "that their retreat could turn the Chinese tech giant Huawei into a global chip-making powerhouse." "For the U.S. semiconductor industry, China is gone," said Handel Jones, a semiconductor consultant at International Business Strategies, which advises electronics companies. He projects that Chinese companies will have a majority share of chips in every major category in China by 2030... Huang's message spoke to one of his biggest fears. For years, he has worried that Huawei, China's telecommunications giant, will become a major competitor in AI. He has warned U.S. officials that blocking U.S. companies from competing in China would accelerate Huawei's rise, said three people familiar with those meetings who spoke on the condition of anonymity.

If Huawei gains ground, Huang and others at Nvidia have painted a dark picture of a future in which China will use the company's chips to build AI data centers across the world for the Belt and Road Initiative, a strategic effort to increase Beijing's influence by paying for infrastructure projects around the world, a person familiar with the company's thinking said...

Nvidia's previous generation of chips perform about 40% better than Huawei's best product, said Gregory C. Allen, who has written about Huawei in his role as director of the Wadhwani AI Center at the Center for Strategic and International Studies. But that gap could dwindle if Huawei scoops up the business of its American rivals, Allen said. Nvidia was expected to make more than $16 billion in sales this year from the H20 in China before the restriction. Huawei could use that money to hire more experienced engineers and make higher-quality chips. Allen said the U.S. government's restrictions also could help Huawei bring on customers like DeepSeek, a leading Chinese AI startup. Working with those companies could help Huawei improve the software it develops to control its chips. Those kinds of tools have been one of Nvidia's strengths over the years.
TechRepublic identifies this key quote from an earlier article: "This kills NVIDIA's access to a key market, and they will lose traction in the country," Patrick Moorhead, a tech analyst with Moor Insights & Strategy, told The New York Times. He added that Chinese companies will buy from local rival Huawei instead.

"Russia is automating the spread of false information to fool AI chatbots," reports the Washington Post. (When researchers checked 10 chatbots, a third of the responses repeated false pro-Russia messaging.)

The Post argues that this tactic offers "a playbook to other bad actors on how to game AI to push content meant to inflame, influence and obfuscate instead of inform," and calls it "a fundamental weakness of the AI industry." Chatbot answers depend on the data fed into them. A guiding principle is that the more the chatbots read, the more informed their answers will be, which is why the industry is ravenous for content. But mass quantities of well-aimed chaff can skew the answers on specific topics. For Russia, that is the war in Ukraine. But for a politician, it could be an opponent; for a commercial firm, it could be a competitor. "Most chatbots struggle with disinformation," said Giada Pistilli, principal ethicist at open-source AI platform Hugging Face. "They have basic safeguards against harmful content but can't reliably spot sophisticated propaganda, [and] the problem gets worse with search-augmented systems that prioritize recent information."

Early commercial attempts to manipulate chat results also are gathering steam, with some of the same digital marketers who once offered search engine optimization — or SEO — for higher Google rankings now trying to pump up mentions by AI chatbots through "generative engine optimization" — or GEO.
Our current situation "plays into the hands of those with the most means and the most to gain: for now, experts say, that is national governments with expertise in spreading propaganda." Russia and, to a lesser extent, China have been exploiting that advantage by flooding the zone with fables. But anyone could do the same, burning up far fewer resources than previous troll farm operations... In a twist that befuddled researchers for a year, almost no human beings visit the sites, which are hard to browse or search. Instead, their content is aimed at crawlers, the software programs that scour the web and bring back content for search engines and large language models. While those AI ventures are trained on a variety of datasets, an increasing number are offering chatbots that search the current web. Those are more likely to pick up something false if it is recent, and even more so if hundreds of pages on the web are saying much the same thing...

The gambit is even more effective because the Russian operation managed to get links to the Pravda network stories edited into Wikipedia pages and public Facebook group postings, probably with the help of human contractors. Many AI companies give special weight to Facebook and especially Wikipedia as accurate sources. (Wikipedia said this month that its bandwidth costs have soared 50 percent in just over a year, mostly because of AI crawlers....) Last month, other researchers set out to see whether the gambit was working. Finnish company Check First scoured Wikipedia and turned up nearly 2,000 hyperlinks on pages in 44 languages that pointed to 162 Pravda websites. It also found that some false information promoted by Pravda showed up in chatbot answers.
"They do even better in such places as China," the article points out, "where traditional media is more tightly controlled and there are fewer sources for the bots." (The nonprofit American Sunlight Project calls the process "LLM grooming".)

The article quotes a top Kremlin propagandist as bragging in January that "we can actually change worldwide AI."

With macOS now 24 years old and Apple officially designating all Intel-based Mac minis as "vintage" or "obsolete," The Register takes a look at new internet tools that help keep vintage Macs online and surprisingly relevant: Cameron Kaiser of Floodgap Systems is a valuable ally. His retro computing interests are broad, and we've mentioned him a few times on The Register, such as his deep dive into the revolutionary Canon Cat computer, and his evaluation of RISC-V hardware performance. Back in 2020, he revived the native Classic Mac OS port of the Lynx web browser, MacLynx. Earlier this month, he came back to it and has updated it again, including adding native Mac OS dialog boxes. His account is -- as usual -- long and detailed but it's an interesting read. He also maintains some other web browsers for elderly Macs, including TenFourFox for Mac OS X 10.4 and Classilla for Mac OS 8.6 and 9.x.

If you're not up to git pull commands and elderly Mac OS X build tools, then there is a fork of TenFourFox that may be worth a look, InterWebPPC. It's not current with the new batch of patches, but we can still hope for another build. In other "Classic on the internet" news, although it's not a huge amount of use on its own, there's also a newly released Classic Mac OS version of Mbed-TLS on GitHub. This ports the SSL library -- also used in the super-lightweight Dillo browser -- to the older C89/C90 standard, so that it can build in CodeWarrior and run with OpenTransport from Mac OS 9 right back to later versions of Mac OS 7.

Modern macOS is UNIX certified and as such it's not all that dissimilar from other Unix-like OSes, such as Linux and the BSD family. Classic Mac OS is a profoundly different beast, which makes porting modern code to it a complex exercise -- but equally, it's a good learning exercise, and we're delighted to see 21st century programmers exploring this 1980s OS. That may be part of the motivation behind the newly announced and still incomplete SDL 2 "rough draft" that appeared a week ago. It builds on the existing SDL 1.2 port, but so far, it's less complete -- for instance, there's no sound support.

An anonymous reader quotes a report from SecurityWeek: An October 2024 study by Software AG suggests that half of all employees are Shadow AI users, and most of them wouldn't stop even if it was banned. The problem is the ease of access to AI tools, and a work environment that increasingly advocates the use of AI to improve corporate efficiency. It is little wonder that employees seek their own AI tools to improve their personal efficiency and maximize the potential for promotion. It is frictionless, says Michael Marriott, VP of marketing at Harmonic Security. 'Using AI at work feels like second nature for many knowledge workers now. Whether it's summarizing meeting notes, drafting customer emails, exploring code, or creating content, employees are moving fast.' If the official tools aren't easy to access or if they feel too locked down, they'll use whatever's available which is often via an open tab on their browser.

There is almost also never any malicious intent (absent, perhaps, the mistaken employment of rogue North Korean IT workers); merely a desire to do and be better. If this involves using unsanctioned AI tools, employees will likely not disclose their actions. The reasons may be complex but combine elements of a reluctance to admit that their efficiency is AI assisted rather than natural, and knowledge that use of personal shadow AI might be discouraged. The result is that enterprises often have little knowledge of the extent of Shadow IT, nor the risks it may present. According to an analysis from Harmonic, ChatGPT is the dominant gen-AI model used by employees, with 45% of data prompts originating from personal accounts (such as Gmail). Image files accounted for 68.3%. The report also notes that 7% of empmloyees were using Chinese AI models like DeepSeek, Baidu Chat and Qwen.

"Overall, there has been a slight reduction in sensitive prompt frequency from Q4 2024 (down from 8.5% to 6.7% in Q1 2025)," reports SecurityWeek. "However, there has been a shift in the risk categories that are potentially exposed. Customer data (down from 45.8% to 27.8%), employee data (from 26.8% to 14.3%) and security (6.9% to 2.1%) have all reduced. Conversely, legal and financial data (up from 14.9% to 30.8%) and sensitive code (5.6% to 10.1%) have both increased. PII is a new category introduced in Q1 2025 and was tracked at 14.9%."

IBM is mandating that U.S. sales and Cloud employees return to the office at least three days a week, with work required at designated client sites, flagship offices, or sales hubs. According to The Register, some IBM employees argue that these policies "represent stealth layoffs because older (and presumably more highly compensated) employees tend to be less willing to uproot their lives, and families where applicable, than the 'early professional hires' IBM has been courting at some legal risk." From the report: In a staff memo seen by The Register, Adam Lawrence, general manager for IBM Americas, billed the return-to-office for most stateside sales personnel as a "return to client initiative."Citing how "remarkable it is when our teams work side by side" at IBM's swanky Manhattan flagship office, unveiled in September 2024, Lawrence added IBM is investing in an Austin, Texas, office to be occupied in 2026.

Whether US sales staff end up working in NYC, Austin, or some other authorized location, Lawrence told them to brace for -- deep breath -- IBM's "new model" of "effective talent acquisition, deployment, and career progression." We're told that model is "centered on client proximity for those dedicated to specific clients, and anchored on core IBM locations for those dedicated to territories or those in above-market leadership roles." The program requires most IBM US sales staff "to work at least three days a week from the client location where their assigned territory decision-makers work, a flagship office, or a sales hub." Those residing more than 50 miles from their assigned location will be offered relocation benefits to move. Sales hubs are an option only for those with more than one dedicated account.

[...] IBM's office policy change reached US Cloud employees in an April 10 memo from Alan Peacock, general manager of IBM Cloud. Peacock set a July 1, 2025, deadline for US Cloud employees to work from an office at least three days per week, with relocating workers given until October 1, 2025. The employee shuffling has been accompanied by rolling layoffs in the US, but hiring in India -- there are at least 10x as many open IBM jobs in India as there are in any other IBM location, according to the corporation's career listings. And earlier this week, IBM said it "is setting up a new software lab in Lucknow," India.

Nature has published an analysis of the 21st century's most-cited scientific papers, revealing a surprising pattern: breakthrough discoveries like mRNA vaccines, CRISPR, and gravitational waves don't make the list. Instead, a 2016 Microsoft paper on "deep residual learning" networks claims the top spot, with citations ranging from 103,756 to 254,074 depending on the database.

The list overwhelmingly features methodology papers and software tools rather than groundbreaking discoveries. AI research dominates with four papers in the top ten, including Google's 2017 "Attention is all you need" paper that underpins modern language models.

The second-most-cited paper -- a 2001 guide for analyzing gene expression data -- was explicitly created to be cited after journal reviewers rejected references to a technical manual. As sociologist Misha Teplitskiy noted, "Scientists say they value methods, theory and empirical discoveries, but in practice the methods get cited more."

schwit1 shares a report from Interesting Engineering: Australia's Q-CTRL developed a new system called "Ironstone Opal," which uses quantum sensors to navigate without GPS. It's passive (meaning it doesn't emit signals that could be detected or jammed) and highly accurate. Instead of relying on satellites, Q-CTRL's system can read the Earth's magnetic field, which varies slightly depending on location (like a magnetic fingerprint or map). The system can determine where you are by measuring these variations using magnetometers. This is made possible using the company's proprietary quantum sensors, which are incredibly sensitive and stable. The system also comes with special AI-based software, which filters out interference like vibrations or electromagnetic noise (what they call "software ruggedization"). The system is small and compact and could, in theory, be installed in drones or cars and, of course, aircraft.

Q-CTRL ran some live tests on the ground and in the air to validate the technology. As anticipated, they found that it could operate completely independently of GPS. Moreover, the company reports that its quantum GPS was 50 times more accurate than traditional GPS backup systems (like Inertial Navigation Systems or INS). The systems also delivered navigation precision on par with hitting a bullseye from 1,000 yards. Even when the equipment was mounted inside a plane, where interference is much worse, it outperformed existing systems by at least 11x. This is the first time quantum technology has been shown to outperform existing tech in a real-world commercial or military application, a milestone referred to as achieving "quantum advantage."

LG is partnering with Zenapse to integrate AI-driven emotional intelligence into its smart TVs, enabling hyper-targeted ads based on viewers' psychological traits, emotions, and behaviors. Ars Technica reports: The upcoming advertising approach comes via a multi-year licensing deal with Zenapse, a company describing itself as a software-as-a-service marketing platform that can drive advertiser sales "with AI-powered emotional intelligence." LG will use Zenapse's technology to divide webOS users into hyper-specific market segments that are supposed to be more informative to advertisers. LG Ad Solutions, LG's advertising business, announced the partnership on Tuesday.

The technology will be used to inform ads shown on LG smart TVs' homescreens, free ad-supported TV (FAST) channels, and elsewhere throughout webOS, per StreamTV Insider. LG will also use Zenapse's tech to "expand new software development and go-to-market products," it said. LG didn't specify the duration of its licensing deal with Zenapse. Zenapse's platform for connected TVs (CTVs), ZenVision, is supposed to be able to interpret the types of emotions shown in the content someone is watching on TV, partially by using publicly available information about the show's or movie's script and plot, StreamTV Insider reported. ZenVision also analyzes viewer behavior, grouping viewers based on their consumption patterns, the publication noted. Under the new partnership, ZenVision can use data that LG has gathered from the automatic content recognition software in LG TVs.

With all this information, ZenVision will group LG TV viewers into highly specified market segments, such as "goal-driven achievers," "social connectors," or "emotionally engaged planners," an LG spokesperson told StreamTV Insider. Zenapse's website for ZenVision points to other potential market segments, including "digital adopters," "wellness seekers," "positive impact & environment," and "money matters." Companies paying to advertise on LG TVs can then target viewers based on the ZenVision-specified market segments and deliver an "emotionally intelligent ad," as Zenapse's website puts it.

OpenAI has released Codex CLI, an open-source coding agent that runs locally in users' terminal software. Announced alongside the company's new o3 and o4-mini models, Codex CLI directly connects OpenAI's AI systems with local code and computing tasks, enabling them to write and manipulate code on users' machines.

The lightweight tool allows developers to leverage multimodal reasoning capabilities by passing screenshots or sketches to the model while providing access to local code repositories. Unlike more ambitious future plans for an "agentic software engineer" that could potentially build entire applications from descriptions, Codex CLI focuses specifically on integrating AI models with command-line interfaces.

To accelerate adoption, OpenAI is distributing $1 million in API credits through a grant program, offering $25,000 blocks to selected projects. While the tool expands AI's role in programming workflows, it comes with inherent risks -- studies show AI coding models frequently fail to fix security vulnerabilities and sometimes introduce new bugs, particularly concerning when given system-level access.

Enterprise software optimization is accelerating as companies face potential budget freezes in 2025, according to new research from UBS reviewed by Slashdot. Following discussions with two leading SaaSOps vendors, analysts report that 21% of organizations cut their SaaS spend last year, with a staggering 30% of existing licenses sitting unused.

SaaS rationalization efforts are targeting familiar categories: collaboration tools (Zoom, Teams, Slack), project management solutions, and sales engagement platforms. Back-office systems like Workday remain relatively insulated due to their stickiness and pricing leverage, while front-office software faces mixed pressures. "Companies were looking to return to spend growth in 2HF25 from cost cutting but now that might no longer be the case," one CEO told UBS.

Figma has confidentially filed for an IPO with the SEC, marking a major move more than a year after scrapping its $20 billion acquisition deal with Adobe due to regulatory pushback. CNBC reports: Figma's software is popular among designers inside companies who need to collaborate on prototypes for websites and apps. The company was valued at $12.5 billion in a 2024 tender offer. "There are two paths that venture-funded startups go down," Dylan Field, Figma's co-founder and CEO, said in an interview with The Verge last year. "You either get acquired or you go public. And we explored thoroughly the acquisition route."

The announcement lands at a precarious moment for the tech IPO market, which has been largely dormant since late 2021. The Trump presidency was expected to revive new offerings due to promises of less burdensome regulations.

The CVE and CWE programs are at risk of shutdown as MITRE's DHS contract expires on April 16, 2025, with no confirmed renewal. Without continued funding, the ability to standardize, track, and respond to software vulnerabilities could collapse, leaving the cybersecurity community scrambling in a fragmented and dangerously opaque environment. Forbes reports: "Failure to renew MITRE's contract for the CVE program, seemingly set to expire on April 16, 2025, risks significant disruption," said Jason Soroko, Senior Fellow at Sectigo. "A service break would likely degrade national vulnerability databases and advisories. This lapse could negatively affect tool vendors, incident response operations, and critical infrastructure broadly. MITRE emphasizes its continued commitment but warns of these potential impacts if the contracting pathway is not maintained."

MITRE has indicated that historical CVE records will remain accessible via GitHub, but without continued funding, the operational side of the program -- including assignment of new CVEs -- will effectively go dark. That's not a minor inconvenience. It could upend how the global cybersecurity community identifies, communicates, and responds to new threats. [...] MITRE has said that discussions with the U.S. government are active and that it remains committed to the CVE mission. But with the expiration date looming, time is running short -- and the consequences of even a temporary gap are severe.

An anonymous reader quotes a report from TechCrunch: Figma has sent a cease-and-desist letter to popular no-code AI startup Lovable, Figma confirmed to TechCrunch. The letter tells Lovable to stop using the term "Dev Mode" for a new product feature. Figma, which also has a feature called Dev Mode, successfully trademarked that term last year, according to the U.S. Patent and Trademark office. What's wild is that "dev mode" is a common term used in many products that cater to software programmers. It's like an edit mode. Software products from giant companies like Apple's iOS, Google's Chrome, Microsoft's Xbox have features formally called "developer mode" that then get nicknamed "dev mode" in reference materials.

Even "dev mode" itself is commonly used. For instance Atlassian used it in products that pre-date Figma's copyright by years. And it's a common feature name in countless open source software projects. Figma tells TechCrunch that its trademark refers only to the shortcut "Dev Mode" -- not the full term "developer mode." Still, it's a bit like trademarking the term "bug" to refer to "debugging." Since Figma wants to own the term, it has little choice but send cease-and-desist letters. (The letter, as many on X pointed out, was very polite, too.) If Figma doesn't defend the term, it could be absorbed as a generic term and the trademarked becomes unenforceable.

You should still learn to code, says GitHub's CEO. And you should start as soon as possible. From a report: "I strongly believe that every kid, every child, should learn coding," Thomas Dohmke said in a recent podcast interview with EO. "We should actually teach them coding in school, in the same way that we teach them physics and geography and literacy and math and what-not." Coding, he added, is one such fundamental skill -- and the only reason it's not part of the curriculum is because it took "us too long to actually realize that."

Dohmke, who's been a programmer since the 90s, said he's never seen "anything more exciting" than the current moment in engineering -- the advent of AI, he believes, has made the field that much easier to break into, and is poised to make software more ubiquitous than ever. "It's so much easier to get into software development. You can just write a prompt into Copilot or ChatGPT or similar tools, and it will likely write you a basic webpage, or a small application, a game in Python," Dohmke said. "And so, AI makes software development so much more accessible for anyone who wants to learn coding."

AI, Dohmke said, helps to "realize the dream" of bringing an idea to life, meaning that fewer projects will end up dead in the water, and smaller teams of developers will be enabled to tackle larger-scale projects. Dohmke said he believes it makes the overall process of creation more efficient. "You see some of the early signs of that, where very small startups -- sometimes five developers and some of them actually only one developer -- believe they can become million, if not billion dollar businesses by leveraging all the AI agents that are available to them," he added.

An anonymous reader quotes a report from TechCrunch: Car rental giant Hertz has begun notifying its customers of a data breach that included their personal information and driver's licenses. The rental company, which also owns the Dollar and Thrifty brands, said in notices on its website that the breach relates to a cyberattack on one of its vendors between October 2024 and December 2024. The stolen data varies by region, but largely includes Hertz customer names, dates of birth, contact information, driver's licenses, payment card information, and workers' compensation claims. Hertz said a smaller number of customers had their Social Security numbers taken in the breach, along with other government-issued identification numbers.

Notices on Hertz's websites disclosed the breach to customers in Australia, Canada, the European Union, New Zealand, and the United Kingdom. Hertz also disclosed the breach with several U.S. states, including California and Maine. Hertz said at least 3,400 customers in Maine were affected but did not list the total number of affected individuals, which is likely to be significantly higher. Emily Spencer, a spokesperson for Hertz, would not provide TechCrunch with a specific number of individuals affected by the breach but said it would be "inaccurate to say millions" of customers are affected. The company attributed the breach to a vendor, software maker Cleo, which last year was at the center of a mass-hacking campaign by a prolific Russia-linked ransomware gang.

OpenAI unveiled its GPT-4.1 model family on Monday, prioritizing coding capabilities and instruction following while expanding context windows to 1 million tokens -- approximately 750,000 words. The lineup includes standard GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano variants, all available via API but not ChatGPT.

The flagship model scores 54.6% on SWE-bench Verified, lagging behind Google's Gemini 2.5 Pro (63.8%) and Anthropic's Claude 3.7 Sonnet (62.3%) on the same software engineering benchmark, according to TechCrunch. However, it achieves 72% accuracy on Video-MME's long video comprehension tests -- a significant improvement over GPT-4o's 65.3%.

OpenAI simultaneously announced plans to retire GPT-4.5 -- their largest model released just two months ago -- from API access by July 14. The company claims GPT-4.1 delivers "similar or improved performance" at substantially lower costs. Pricing follows a tiered structure: GPT-4.1 costs $2 per million input tokens and $8 per million output tokens, while GPT-4.1 nano -- OpenAI's "cheapest and fastest model ever" -- runs at just $0.10 per million input tokens.

All models feature a June 2024 knowledge cutoff, providing more current contextual understanding than previous iterations.

Apple is readying a substantial overhaul for iPadOS 19 that will transform the tablet experience to function more like macOS, according to Bloomberg. The update will focus on productivity features, multitasking capabilities, and app window management - areas where iPad power users have long requested improvements.

The software revamp comes approximately a year after Apple introduced the M4 chip to the iPad Pro lineup and coincides with the expected arrival of new iPad Pro models featuring M5 processors. According to Bloomberg, many users have expressed frustration that iPad hardware capabilities have consistently outpaced software functionality.

While the company won't fully port macOS to iPad as some users have wished, the changes will reportedly be substantial enough to satisfy much of the professional user base that has been pushing for more desktop-like functionality. The upcoming changes are expected to be highlighted at Apple's Worldwide Developers Conference in June.

"It is somewhat remarkable that work on AmigaOS 3.X continues in 2025," notes Tom's Hardware, "given that Commodore International released AmigaOS 3.0 in 1992..."

AmigaOS 3.1 came in 1993. And now... Work continues on AmigaOS 3.2 with the stewards of this classic Motorola 680x0 friendly operating system, Hyperion Entertainment, releasing version 3.2.3 a few days ago.

In a news bulletin on the official site, Hyperion highlighted that the third update for AmigaOS 3.2 includes two years of (more than 50) fixes and enhancements... Hyperion began its quest to modernize and improve this classic version of AmigaOS for Motorola 680x0 platforms in 2018 when it released version 3.1.4. The AmigaOS 3.2 lineage began in 2021...

This release is provided as a free update to owners of AmigaOS 3.2. If you don't already have this OS, you can get it now at official resellers like RetroPassion UK... Nowadays, Arm-based accelerators seem to be the path forward for modern Amiga, as opposed to retro Amiga, enthusiasts. AmigaOS 3.2.3 has a feather in its cap as it also supports classic 68K Amigas boosted by Arm accelerators such as the PiStorm.