LinuxWebLog.com

After testing over 125,000 Linux bugs, one researcher found the average one takes over two years to be fixed  PC Gamer

After testing over 125,000 Linux bugs, one researcher found the average one takes over two years to be fixed  PC Gamer

After testing over 125,000 Linux bugs, one researcher found the average one takes over two years to be fixed  PC Gamer

After testing over 125,000 Linux bugs, one researcher found the average one takes over two years to be fixed  PC Gamer

Here is my 2025 Year-End portfolio update that includes all our combined 401k/403b/IRAs and taxable brokerage accounts but excludes our house and small side portfolio of self-directed investments. Following the concept of skin in the game, the following is not a recommendation, but a sharing of our actual, imperfect DIY portfolio.

“Never ask anyone for their opinion, forecast, or recommendation. Just ask them what they have in their portfolio.” – Nassim Taleb

How I Track My Portfolio
Here’s how I track my portfolio across multiple brokers and account types:

• The Empower Personal Dashboard real-time portfolio tracking tools (free) automatically logs into my different accounts, adds up my various balances, tracks my performance, and calculates my overall asset allocation daily. Formerly known as Personal Capital.
• Once a quarter, I also update my manual Google Spreadsheet (free to copy, instructions) because it helps me calculate how much I need in each asset class to rebalance back towards my target asset allocation. I also create a new sheet each quarter, so I have a personal archive of my portfolio dating back many years.

2025 Year-End Asset Allocation and YTD Performance
Here are updated performance and asset allocation charts, per the “Holdings” and “Allocation” tabs of my Empower Personal Dashboard.

The major components of my portfolio are broad index ETFs. I do mix it up a bit around the edges, but not very much. Here is a model version of my target asset allocation with sample ETF holdings for each asset class.

• 35% US Total Market (VTI)
• 5% US Small-Cap Value (AVUV)
• 20% International Total Market (VXUS)
• 5% International Small-Cap Value (AVDV)
• 5% US Real Estate (REIT) (VNQ)
• 20% US “Regular” Treasury Bonds and/or FDIC-insured deposits (VGSH)
• 10% US Treasury Inflation-Protected Bonds (SCHP)

Big picture, it is 70% businesses and 30% very safe bonds/cash:

By paying minimal costs including management fees, transaction spreads, and tax drag, I am trying to essentially guarantee myself above-average net performance over time.

I do not spend a lot of time backtesting various model portfolios. You’ll usually find that whatever model portfolio is popular at the moment just happens to hold the asset class that has been the hottest recently.

The portfolio that you can hold onto through the tough times is the best one for you. I’ve been pretty much holding this same portfolio for 20 years. Check out these ancient posts from 2004 and 2005. Every asset class will eventually have a low period, and you must have strong faith during these periods to earn those historically high returns. You have to keep owning and buying more stocks through the stock market crashes. You have to maintain and even buy more rental properties during a housing crunch, etc. A good sign is that if prices drop, you’ll want to buy more of that asset instead of less. I don’t have strong faith in the long-term results of commodities, gold, or bitcoin – so I don’t own them.

Performance details. Here’s an updated YTD Growth of $10,000 chart courtesy of Testfolio for some of the major ETFs that shows the difference in performance in the broad indexes:

Nearly everything went up in 2025. I doubt 2026 will be boring. I’ll share about more about the income aspect in a separate post.

Researchers at Stanford University have created a programmable synthetic "skin" that can independently change color and texture, "a feat previously only available within the animal kingdom," reports the Register. From the report: The technique employs electron beams to write patterns and add optical layers that create color effects. When exposed to water, the film swells to reveal texture and colors independently, depending on which side of the material is exposed, according to a paper published in the scientific journal Nature this week. In an accompanying article, University of Stuttgart's Benjamin Renz and Na Liu said the researchers' "most striking achievement was a photonic skin in which color and texture could be independently controlled, mirroring the separate regulation... in octopuses." The research team used the polymer PEDOT:PSS, which can swell in water, as the basis for their material. Its reaction to water can be controlled by irradiating it with electrons, creating textures and patterns in the film. By adding thin layers of gold, the researchers turned surface texture into tunable optical effects. A single layer could be used to scatter light, giving the shiny metal a matte, textured appearance. To control color, a polymer film was sandwiched between two layers of gold, forming an optical cavity, which selectively reflects light.

Read more of this story at Slashdot.

GeForce NOW comes to Linux, Amazon Fire TV, adds flight stick support, and more at CES 2026  TweakTown

GeForce NOW comes to Linux, Amazon Fire TV, adds flight stick support, and more at CES 2026  TweakTown

GeForce NOW comes to Linux, Amazon Fire TV, adds flight stick support, and more at CES 2026  TweakTown

GeForce NOW comes to Linux, Amazon Fire TV, adds flight stick support, and more at CES 2026  TweakTown

GeForce NOW comes to Linux, Amazon Fire TV, adds flight stick support, and more at CES 2026  TweakTown

Someone recreated the Windows 8 Start menu in Linux for some reason  XDA

An anonymous reader quotes a report from NPR: [I]t turns out that some genius dogs can learn a brand new word, like the name of an unfamiliar toy, by just overhearing brief interactions between two people. What's more, these "gifted" dogs can learn the name of a new toy even if they first hear this word when the toy is out of sight -- as long as their favorite human is looking at the spot where the toy is hidden. That's according to a new study in the journal Science. "What we found in this study is that the dogs are using social communication. They're using these social cues to understand what the owners are talking about," says cognitive scientist Shany Dror of Eotvos Lorand University and the University of Veterinary Medicine, Vienna. "This tells us that the ability to use social information is actually something that humans probably had before they had language," she says, "and language was kind of hitchhiking on these social abilities." [...] "There's only a very small group of dogs that are able to learn this differentiation and then can learn that certain labels refer to specific objects," she says. "It's quite hard to train this and some dogs seem to just be able to do it." [...] To explore the various ways that these dogs are capable of learning new words, Dror and some colleagues conducted a study that involved two people interacting while their dog sat nearby and watched. One person would show the other a brand new toy and talk about it, with the toy's name embedded into sentences, such as "This is your armadillo. It has armadillo ears, little armadillo feet. It has a tail, like an armadillo tail." Even though none of this language was directed at the dogs, it turns out the super-learners registered the new toy's name and were later able to pick it out of a pile, at the owner's request. To do this, the dogs had to go into a separate room where the pile was located, so the humans couldn't give them any hints. Dror says that as she watched the dogs on camera from the other room, she was "honestly surprised" because they seemed to have so much confidence. "Sometimes they just immediately went to the new toy, knowing what they're supposed to do," she says. "Their performance was really, really high." She and her colleagues wondered if what mattered was the dog being able to see the toy while its name was said aloud, even if the words weren't explicitly directed at the dog. So they did another experiment that created a delay between the dog seeing a new toy and hearing its name. The dogs got to see the unfamiliar toy and then the owner dropped the toy in a bucket, so it was out of sight. Then the owner would talk to the dog, and mention the toy's name, while glancing down at the bucket. While this was more difficult for dogs, overall they still could use this information to learn the name of the toy and later retrieve it when asked. "This shows us how flexible they are able to learn," says Dror. "They can use different mechanisms and learn under different conditions."

Read more of this story at Slashdot.

My favorite part of Linux's KDE Plasma just got a huge update  XDA

YouTube is updating search filters so users can explicitly choose between Shorts and long-form videos. The change also replaces view-count sorting with a new "Popularity" filter and removes underperforming options like "Sort by Rating." The Verge reports: Right now, a filter-less search shows a mix of longform and short form videos, which can be annoying if you just want to see videos in one format or the other. But in the new search filters, among other options, you can pick to see "Videos," which in my testing has only showed a list of longform videos, or "Shorts," which just shows Shorts. YouTube is also removing the "Upload Date - Last Hour" and "Sort by Rating" filters because they "were not working as expected and had contributed to user complaints." The company will still offer other "Upload Date" filters, like "Today," "This week," "This Month," and "This Year," and you can also find popular videos with the new "Popularity" filter, which is replacing the "View count" sort option. (With the new "Popularity" filter, YouTube says that "our systems assess a video's view count and other relevance signals, such as watch time, to determine its popularity for that specific query.")

Read more of this story at Slashdot.

This lightweight distro loaded with apps is not your father's GNU/Linux - here's why  ZDNET

How Flatpaks & Open Source Make Steam Frame A Linux Playground  UploadVR

What Is Liquorix Kernel? Should You Use It?  It's FOSS

Longtime Slashdot reader schwit1 shares a report from Reuters: Billionaire entrepreneur Elon Musk persuaded a judge on Wednesday to allow a jury trial on his allegations that ChatGPT maker OpenAI violated its founding mission in its high-profile restructuring to a for-profit entity. Musk was a cofounder of OpenAI in 2015 but left in 2018 and now runs an AI company that competes with it. U.S. District Judge Yvonne Gonzalez Rogers in Oakland, California, said at a hearing that there was "plenty of evidence" suggesting OpenAI's leaders made assurances that its original nonprofit structure was going to be maintained. The judge said there were enough disputed facts to let a jury consider the claims at a trial scheduled for March, rather than decide the issues herself. She said she would issue a written order after the hearing that addresses OpenAI's bid to throw out the case. [...] Musk contends he contributed about $38 million, roughly 60% of OpenAI's early funding, along with strategic guidance and credibility, based on assurances that the organization would remain a nonprofit dedicated to the public benefit. The lawsuit accuses OpenAI co-founders Sam Altman and Greg Brockman of plotting a for-profit switch to enrich themselves, culminating in multibillion-dollar deals with Microsoft and a recent restructuring. OpenAI, Altman and Brockman have denied the claims, and they called Musk "a frustrated commercial competitor seeking to slow down a mission-driven market leader." Microsoft is also a defendant and has urged the judge to toss Musk's lawsuit. A lawyer for Microsoft said there was no evidence that the company "aided and abetted" OpenAI. OpenAI in a statement after the hearing said: "Mr Musk's lawsuit continues to be baseless and a part of his ongoing pattern of harassment, and we look forward to demonstrating this at trial."

Read more of this story at Slashdot.

Canonical Builds Steam Snap For Ubuntu ARM64 Leveraging FEX  Phoronix