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Amazon marks Google's flagship down to just $650 for 128 GB or $750 for 256 GB.

A bill in Colorado is a glimpse into the future of how corporations are working to limit the freedom people have to make their own fixes and upgrades.

Fifth Generation Inc. of Austin, Texas, failed to pay taxes on thousands of cases of vodka sold in Maine, the justices found.

IBM and Arm are teaming up to let Arm-based software run on IBM Z mainframes. Network World reports: The two companies plan to work on three things: building virtualization tools so Arm software can run on IBM platforms; making sure Arm applications meet the security and data residency rules that regulated industries must follow; and creating common technology layers so enterprises have more software options across both platforms, IBM said in a statement. IBM has not said whether the virtualization work will happen at the hypervisor level, through its existing PR/SM partitioning technology, or via containers -- a question enterprise architects will need answered before they can assess the collaboration's practical value. IBM described the effort as serving enterprises that run regulated workloads and cannot simply move them to the cloud, the statement said. IBM mainframe customers have largely missed out on the efficiency and price-performance gains Arm has already delivered in the cloud. "Arm says close to half of all compute shipped to top hyperscalers in 2025 runs on Arm chips, with AWS, Google, and Microsoft deploying their own Arm silicon through Graviton, Axion, and Cobalt, respectively," reports Network World. That gap is precisely what IBM and Arm's collaboration intends to address. "This is a mainframe adjacency play," says Rachita Rao, senior analyst at Everest Group. "The intent is to extend IBM Z and LinuxONE environments by enabling Arm-compatible workloads to run closer to systems of record. While hyperscalers use Arm to lower their own internal power costs and pass savings to cloud-native tenants, IBM is targeting the sovereign and air-gapped market."

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With fewer workers in the Congress Street corridor, the owner of a gym once considered a 'mini country club' for making business deals says she can't afford to stay or move.

AmiMoJo shares a report from Phoronix: Raspberry Pi prices are going up yet again due to the continued memory squeeze on the industry. To help offset the memory prices for some use-cases, Raspberry Pi also announced the introduction of the Raspberry Pi 4 3GB model at $83 to help fill the void between the 2GB and 4GB options. The 3GB Raspberry Pi 4 was announced at $83.75 USD for those not needing quite 4GB of RAM and looking to save some memory given the ongoing price increases. The Raspberry Pi 4 and Raspberry Pi 5 4GB models are seeing new $25 price increases, the 8GB models seeing $50 price increases, and the 16GB Raspberry Pi 5 is going up by $100. The Raspberry Pi 500+ is seeing a $150 price increase. The Raspberry Pi Compute Modules are also seeing increases from $11.25 to $100 USD.

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Small towns may be taking on risk if they allow too much of their budgets to come from taxes on data centers.

An anonymous reader quotes a report from Ars Technica: Google's Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google's terms. The company's Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it's dumping the custom Gemma license. Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean plenty of things, of course. The two large Gemma variants, 26B Mixture of Experts and 31B Dense, are designed to run unquantized in bfloat16 format on a single 80GB Nvidia H100 GPU. Granted, that's a $20,000 AI accelerator, but it's still local hardware. If quantized to run at lower precision, these big models will fit on consumer GPUs. Google also claims it has focused on reducing latency to really take advantage of Gemma's local processing. The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models. Meanwhile, 31B Dense is more about quality than speed, but Google expects developers to fine-tune it for specific uses. The other two Gemma 4 models, Effective 2B (E2B) and Effective 4B (E4B), are aimed at mobile devices. These options were designed to maintain low memory usage during inference, running at an effective 2 billion or 4 billion parameters. Google says the Pixel team worked closely with Qualcomm and MediaTek to optimize these models for devices like smartphones, Raspberry Pi, and Jetson Nano. Not only do they use less memory and battery than Gemma 3, but Google also touts "near-zero latency" this time around. The Apache 2.0 license is much more flexible with its terms of use for commercial restrictions, "granting you complete control over your data, infrastructure, and models," says Google. Clement Delangue, co-founder and CEO of Hugging Face, called it "a huge milestone" that will help developers use Gemma for more projects and expand what Google calls the "Gemmaverse."

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The newly formed 101 West State Street LLC bid nearly $1 billion for the assets held by Genesis, which owns 11 facilities in Maine.

Even on NASA's Artemis II mission around the moon, astronauts apparently still have to deal with broken Microsoft Outlook. One of the crew members, Reid Wiseman, jokingly reported that he had "two Microsoft Outlooks" and neither worked. 404 Media reports: On April 1, four astronauts from the U.S. and Canada embarked on a 10-day flight to loop around the moon. Spotted by VGBees podcast host Niki Grayson on the NASA livestream of live views from the , around 2 a.m. ET, mission control acknowledges an issue with a process control system and offers to remote in -- yes, like how your office IT guy would pause his CoD campaign to log into Okta for you because you used the wrong password too many times. One of the astronauts, Reid Wiseman, says that's chill, but while they're in there: "I also see that I have two Microsoft Outlooks, and neither one of those are working." Astronauts are trained for decades in some of the most physically and mentally grueling environments of any career. They're some of the smartest people on the planet, and they have to be, before we strap them to 3.2 million pounds of jet fuel and make them do complex experiments and high-stakes decisions for days on end. And yet, once they get up there, fucking Outlook is borked.

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Nvidia has begun rolling out a beta feature that automatically compiles game shaders while a PC is idle. It won't eliminate shader compilation the first time a game runs, but Ars Technica reports it could help reduce those repeated wait times. From the report: Nvidia's new Auto Shader Compilation system promises to "reduc[e] the frequency of game runtime compilation after driver updates" for users running Nvidia's GeForce Game Ready Driver 595.97 WHQL or later. When the feature is active and your machine is idle, the app will automatically start rebuilding DirectX drivers for your games so they're all set to roll the next time they launch. While the feature defaults to being turned off when the Nvidia App is first downloaded, users can activate it by going to the Graphics Tab > Global Settings > Shader Cache. There, they can set aside disk space for precompiled shaders and decide how many system resources the compilation process should use. App users can also manually force shader recompilation through the app rather than waiting for the machine to go idle. Unfortunately, Nvidia warns that users will still have to generate shaders in-game after downloading a title for the first time. The Auto Shader Compiler system only generates the new shaders needed after subsequent driver updates following that first run of a new title.

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The mission commander’s email inbox failed during the journey to the moon. Have they tried turning the computer off and back on again?

All four nations filed a request to intervene Wednesday evening.

Valve's March 2026 Steam Survey shows Linux gaming usage jumping to a record 5.33% share -- more than double macOS's 2.35%. Phoronix reports: Steam on Linux was never above 5% and easily an all-time high for the Linux gaming marketshare, especially in absolute numbers. It was a massive 3.1% spike in March while macOS also jumped surprisingly by 1.19% to 2.35%. The Steam Survey numbers show Windows losing 4.28%, down to 92.33%. Part of the jump at least appears to be explained by Valve correcting again the Steam China numbers. Month over month they report a 31.85% drop to the Simplified Chinese language use and English use increasing by 16.82% to 39.09%. Other languages also showed gains amid the massive decline in Simplified Chinese use. The latest numbers for March show around a quarter of the Linux gamers are running Steam OS. Due in part to the Steam Deck APU being a custom AMD product and the popularity of AMD hardware on Linux for its open-source nature, AMD CPU use by Steam on Linux gamers remains just under 70%.

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Some experts believe it highlights a social media shift as platforms boost short video.

Some experts believe it highlights a social media shift as platforms boost short video.

Niraj Shah, who co-founded the Boston online retailer in 2002, ranked near or at the bottom of the Business Journal's list of the state's highest-paid tech CEOs in recent years. Not in 2025.

Your kids are only kids for so long, but love and Lego sets last forever. Here are our top picks for the Lego fan in your life.

From models for traveling to humidifiers that double as planters or air purifiers, we've tested a dozen of them.

An anonymous reader quotes a report from Gizmodo: OpenAI hasn't been shy about spending money lobbying for favorable laws and regulations. But when it comes to its involvement with child safety advocacy groups, the company has apparently decided it's best to stay in the shadows -- even if it means hiding from the people actually pushing for policy changes. According to a report from the San Francisco Standard, a number of people involved in the California-based Parents and Kids Safe AI Coalition were blindsided to learn their efforts were secretly being funded by OpenAI. Per the Standard, the Parents and Kids Safe AI Coalition was a group formed to push the Parents and Kids Safe AI Act, a piece of California legislation proposed earlier this year that would require AI firms to implement age verification and additional safeguards for users under the age of 18. That bill was backed by OpenAI in partnership with Common Sense Media, which proposed the legislation as a compromise after the two groups had pushed dueling ballot initiatives last year. But when the coalition started to reach out to child safety groups and other advocacy organizations to try to get them to lend support to the bill, OpenAI was apparently conveniently left off the messaging. The AI giant was also left out of the marketing on the coalition's website, according to the Standard. That reportedly led to a number of groups and individuals lending their support to the Parents and Kids Safe AI Coalition without realizing that they were aligning themselves with OpenAI. As it turns out, OpenAI isn't just one of the members of the coalition; it is the group's biggest funder. In fact, the Standard characterized the Parents and Kids Safe AI Coalition as being "entirely funded" by OpenAI. While it's not clear exactly how much the company has funneled to this particular group, a Wall Street Journal report from January said OpenAI pledged $10 million to push the Parents and Kids Safe AI Act. Gizmodo notes that OpenAI's backing of the Parents and Kids Safe AI Act "could be self-serving for CEO Sam Altman," who just so happens to head a company called World that provides age verification services.

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