TikTok says it’s ‘back to normal’ after winter storm-related outages

TikTok is finally “back to normal” in the US after days of technical issues and outages tied to winter storms. Less than a week after companies like Oracle took ownership of TikTok’s domestic operations, the platform faced a major power outage when one of its primary US data center sites — run by Oracle — got taken down by the storm. 

The problems started last Monday, January 26, when TikTok announced it was working on a “major infrastructure issue” and warned of bugs, time-out requests, missing earnings, and more. The next day TikTok shared that progress has been made but there were still some issues. It added, “Creators may temporarily see ‘0’ views or likes on videos, and your earnings may look like they’re missing. This is a display error caused by server timeouts; your actual data and engagement are safe.”

Then, yesterday, February 1, TikTok claimed the problem was straightened out and that users shouldn’t experience any more related issues. “We’re sorry about the issues experienced by our U.S. community. We appreciate how much you count on TikTok to create, discover, and connect with what matters to you,” the platform stated in its update. “Thank you for your patience and understanding.”

A number of US users have uninstalled TikTok in response to its new ownership and technical issues. Some users also claimed that TikTok was censoring what they could post or what others saw. For instance, The Guardian reports that many people faced issues sharing videos about ICE agents killing Alex Pretti and general anti-ICE content. 

On January 26, analytics firm Sensor Tower told CNBC that uninstalls of the app had increased by over 150 percent during the five days since its change in ownership, when compared to the three months before. At the same time, independent app and competitor UpScrolled saw a surge in downloads. 

This article originally appeared on Engadget at https://www.engadget.com/apps/tiktok-says-its-back-to-normal-after-winter-storm-related-outages-114848212.html?src=rss

Orbea recalls Avant road bike models due to fork that could “crack and break”

Orbea has recalled its Avant road bike, with H40, H50 and H45XI models from 2025 and 2026 said to be affected.

According to the European Commission’s Safety Gate, the EU rapid alert system for dangerous non-food products, the issue with the bike concerns the fork, which could “crack and break”, leading to injuries.

The bike’s fork is made of carbon fibre, while the rest of the frame is aluminium.

The affected models are from MY2025 and MY2026, with the UK’s Office for Product Safety and Standards sharing the following affected barcodes:

  • 1180648651
  • 1180648283
  • 1180649158
  • 1180649183
  • 1180648321
  • 1180665896
  • 1180648014
  • 1180665909
  • 1180666774
  • 1180666557
  • 1180660308
  • 1180666556
  • 1180661779
  • 1180662819
  • 1180664749
  • 1180662428
  • 1180650249
  • 1180650453
  • 1180661725
  • 1180650056
  • 1180653290
  • 1180650924
  • 1180673668
  • 1180678781

You can check whether your bike is affected by visiting Orbea’s recall page.

You will need to input the bike’s identification number, found under the barcode on the bottom bracket.

This will let you know whether your fork is in the batch being recalled, and what to do if it is.

Linux Kernel Developer Chris Mason’s New Initiative: AI Prompts for Code Reviews

Phoronix reports:

Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments… The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It’s already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward.

“I’m hoping to get some feedback on changes I pushed today that break the review up into individual tasks…” Mason wrote on the Linux kernel mailing list. “Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we’re not sending context back and forth for the entire diff with every turn. It also catches more bugs all around.”


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Orange adds new mullet version to P7 steel hardtails range

Orange Bikes has updated its long-standing P7 steel hardtail range and added a new mullet-wheeled version.

The P7 MX is made from hand-welded Reynolds 525 tubing, features a revised seatstay bridge and is designed around mixed wheel sizes (29in front, 650b rear) and a 140mm-travel fork. 

UDH dropouts provide compatibility with SRAM’s latest Transmission drivetrains, and you get an accessory mount under the top tube (not found on the other P7 models). Gear cables and brake hoses are externally routed for easier maintenance, while ISCG-05 tabs enable easy chain-guide attachment.

Geometry includes a 64.5-degree head angle, 75.5-degree seat tube angle, 480mm reach (large) and 430mm chainstays. The frame is available in a fetching ‘fizzy orange’ or stealthy ‘charcoal grey’.

Orange has updated the geometry of the P7 29 to bring it in line with the P7 MX, giving it a slacker head angle, steeper seat tube angle and longer reach. It has also added 10mm to the head tube length to increase the stack height. It comes in ‘wasabi green’ or ‘angel delight’.

The P7 still rolls on 650b (27.5in) wheels and runs a 150mm fork. Geometry has been aligned with the rest of the range, and it comes in ‘cyan blue’ only. Interestingly, neither the P7 nor the P7 29 have been given UDH dropouts.

Orange P7 key spec details

All frames are made from custom-butted Reynolds 525 chromoly steel. Andy Lloyd / Our Media
  • Frame (all): Custom-butted Reynolds 525 chromoly steel, S-XL (P7, P7 MX)/M-XL (P7 29)
  • Travel: 140mm (P7 MX, P7 29) or 150mm (P7) fork
  • Wheels: 650b (P7), 29in (P7 29) or 29in/650b (P7 MX)
  • Geometry (large): 64.5 head angle, 75.5 seat tube angle, 480mm reach, 430mm (P7, P7  MX)/445mm (P7 29) chainstays
  • Pricing (all): £650 (frame only)

DietPi January 2026 Update Introduces Uptime Kuma, ownCloud Infinite Scale, and Debian 12 Baseline

The January 25, 2026 release of DietPi v10.0 introduces new self-hosted services, drops legacy platform support, and raises the minimum supported Debian version to Bookworm. The update adds Uptime Kuma and ownCloud Infinite Scale to the DietPi software catalog, with a focus on long-term maintainability and SBC compatibility.   DietPi: DietPi is a lightweight, Debian-based […]

Is the TV Industry Finally Conceding That the Future May Not Be 8K?

“Technology companies spent part of the 2010s trying to convince us that we would want an 8K display one day…” writes Ars Technica.

“However, 8K never proved its necessity or practicality.”

LG Display is no longer making 8K LCD or OLED panels, FlatpanelsHD reported today… LG Electronics was the first and only company to sell 8K OLED TVs, starting with the 88-inch Z9 in 2019. In 2022, it lowered the price-of-entry for an 8K OLED TV by $7,000 by charging $13,000 for a 76.7-inch TV. FlatpanelsHD cited anonymous sources who said that LG Electronics would no longer restock the 2024 QNED99T, which is the last LCD 8K TV that it released.

LG’s 8K abandonment follows other brands distancing themselves from 8K. TCL, which released its last 8K TV in 2021, said in 2023 that it wasn’t making more 8K TVs due to low demand. Sony discontinued its last 8K TVs in April and is unlikely to return to the market, as it plans to sell the majority ownership of its Bravia TVs to TCL.

The tech industry tried to convince people that the 8K living room was coming soon. But since the 2010s, people have mostly adopted 4K. In September 2024, research firm Omdia reported that there were “nearly 1 billion 4K TVs currently in use.” In comparison, 1.6 million 8K TVs had been sold since 2015, Paul Gray, Omdia’s TV and video technology analyst, said, noting that 8K TV sales peaked in 2022. That helps explain why membership at the 8K Association, launched by stakeholders Samsung, TCL, Hisense, and panel maker AU Optronics in 2019, is dwindling. As of this writing, the group’s membership page lists 16 companies, including just two TV manufacturers (Samsung and Panasonic). Membership no longer includes any major TV panel suppliers. At the end of 2022, the 8K Association had 33 members, per an archived version of the nonprofit’s online membership page via the Internet Archive’s Wayback Machine.

“It wasn’t hard to predict that 8K TVs wouldn’t take off,” the article concludes. “In addition to being too expensive for many households, there’s been virtually zero native 8K content available to make investing in an 8K display worthwhile…”


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EU Deploys New Government Satcom Program in Sovereignty Push

The EU “has switched on parts of its homegrown secure satellite communications network for the first time,” reports Bloomberg, calling it part of a €10.6 billion push to “wean itself off US support amid growing tensions.”

SpaceNews notes the new government program GOVSATCOM pools capacity from eight already on-oribit satellites from France, Spain, Italy, Greece and Luxembourg — both national and commercial. And they cite this prediction by EU Defense and Space Commissioner Andrius Kubilius.

The program could expand by 2027.

“All member states can now have access to sovereign satellite communications — military and government, secure and resilient, built in Europe, operated in Europe, and under European control,”
[Kubilius said during his opening remarks at the European Space Conference]… Beginning in 2029, GOVSATCOM is expected to integrate with the 290 satellites in the Infrastructure for Resilience, Interconnectivity and Security by Satellite constellation, known as IRIS2, and be fully operational… “The goal is connectivity and security for all of Europe — guaranteed access for all member states and full European control.”


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What Go Programmers Think of AI

“Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code).” That’s one of the conclusions Google’s Go team drew from September’s big survey of 5,379 Go developers.

But the survey also found that among Go developers using AI-powered tools, “their satisfaction with these tools is middling due, in part, to quality concerns.”

Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation…

We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the “Somewhat satisfied” category (42%) vs. the “Very satisfied” group (13%)… [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they’ve accomplished with these tools, as well as something that didn’t work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality.

The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context… [One developer said reviewing AI-generated code was so mentally taxing that it “kills the productivity potential”.]

Of all the tasks we asked about, “Writing code” was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn’t want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code.

Most respondents also said they “are not currently building AI-powered features into the Go software they work on (78%),” the surveyors report, “with 2/3 reporting that their software does not use AI functionality at all (66%).”

This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it’s plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time).

Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.


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Anthropic’s $200M Pentagon Contract at Risk Over Objections to Domestic Surveillance, Autonomous Deployments

Talks “are at a standstill” for Anthropic’s potential $200 million contract with America’s Defense Department, reports Reuters (citing several people familiar with the discussions.”) The two issues?

– Using AI to surveil Americans
– Safeguards against deploying AI autonomously

The company’s position on how its AI tools can be used has intensified disagreements between it and the Trump administration, the details of which have not been previously reported… Anthropic said its AI is “extensively used for national security missions by the U.S. government and we are in productive discussions with the Department of War about ways to continue that work…”

In an essay on his personal blog, Anthropic CEO Dario Amodei warned this week that AI should support national defense “in all ways except those which would make us more like our autocratic adversaries.

A person “familiar with the matter” told the Wall Street Journal this could lead to the cancellation of Anthropic’s contract:

Tensions with the administration began almost immediately after it was awarded, in part because Anthropic’s terms and conditions dictate that Claude can’t be used for any actions related to domestic surveillance. That limits how many law-enforcement agencies such as Immigration and Customs Enforcement and the Federal Bureau of Investigation could deploy it, people familiar with the matter said. Anthropic’s focus on safe applications of AI — and its objection to having its technology used in autonomous lethal operations — have continued to cause problems, they said.

Amodei’s essay calls for “courage, for enough people to buck the prevailing trends and stand on principle, even in the face of threats to their economic interests and personal safety…”


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