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On January 14, 2006, John Resig introduced a JavaScript library called jQuery at BarCamp in New York City. Now, 20 years later, the jQuery team is happy to announce the final release of jQuery 4.0.0. After a long development cycle and several pre-releases, jQuery 4.0.0 brings many improvements and modernizations. It is the first major version release in almost 10 years and includes some breaking changes, so be sure to read through the details below before upgrading. Still, we expect that most users will be able to upgrade with minimal changes to their code.
Many of the breaking changes are ones the team has wanted to make for years, but couldn’t in a patch or minor release. We’ve trimmed legacy code, removed some previously-deprecated APIs, removed some internal-only parameters to public functions that were never documented, and dropped support for some “magic” behaviors that were overly complicated.
We have an upgrade guide and jQuery Migrate plugin release ready to assist with the transition. Please upgrade and let us know if you encounter any issues.
As usual, the release is available on our CDN and the npm package manager. Other third party CDNs will probably have it available soon as well, but remember that we don’t control their release schedules and they will need some time. Here are the highlights for jQuery 4.0.0.
jQuery 4.0 drops support for IE 10 and older. Some may be asking why we didn’t remove support for IE 11. We plan to remove support in stages, and the next step will be released in jQuery 5.0. For now, we’ll start by removing code specifically supporting IE versions older than 11.
We also dropped support for other very old browsers, including Edge Legacy, iOS versions earlier than the last 3, Firefox versions earlier than the last 2 (aside from Firefox ESR), and Android Browser. No changes should be required on your end. If you need to support any of these browsers, stick with jQuery 3.x.
jQuery 4.0 adds support for Trusted Types, ensuring that HTML wrapped in TrustedHTML can be used as input to jQuery manipulation methods in a way that doesn’t violate the require-trusted-types-for Content Security Policy directive.
Along with this, while some AJAX requests were already using tags to maintain attributes such as crossdomain, we have since switched most asynchronous script requests to use <script> tags to avoid any CSP errors caused by using inline scripts. There are still a few cases where XHR is used for asynchronous script requests, such as when the”headers” option is passed (use scriptAttrs instead!), but we now use a tag whenever possible.
It was a special day when the jQuery source on the main branch was migrated from AMD to ES modules. The jQuery source has always been published with jQuery releases on npm and GitHub, but could not be imported directly as modules without RequireJS, which was jQuery’s build tool of choice. We have since switched to Rollup for packaging jQuery and we do run all tests on the ES modules separately. This makes jQuery compatible with modern build tools, development workflows, and browsers through the use of .
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Read the original on blog.jquery.com »
• The 2025 US tariffs are an own goal: American importers and consumers bear nearly the entire cost. Foreign exporters absorb only about 4% of the tariff burden—the remaining 96% is passed through to US buyers.
• Using shipment-level data covering over 25 million transactions valued at nearly $4 trillion, we find near-complete pass-through of tariffs to US import prices.
• US customs revenue surged by approximately $200 billion in 2025—a tax paid almost entirely by Americans.
• Event studies around discrete tariff shocks on Brazil (50%) and India (25–50%) confirm: export prices did not decline. Trade volumes collapsed instead.
• Indian export customs data validates our findings: when facing US tariffs, Indian exporters maintained their prices and reduced shipments. They did not “eat” the tariff.
...
Read the original on www.kielinstitut.de »
Do you require a (replacement) smartphone for your work at Radboud University? If so, there is a strong possibility that you will receive a Fairphone from 1 February 2026 onwards. Radboud University has decided to choose Fairphone as its standard company smartphone model for reasons of sustainability, cost efficiency and management support.
Do you require a (replacement) smartphone for your work at Radboud University? If so, there is a strong possibility that you will receive a Fairphone from 1 February 2026 onwards. Radboud University has decided to choose Fairphone as its standard company smartphone model for reasons of sustainability, cost efficiency and management support.
The Fairphone is a sustainable smartphone with easily replaceable parts such as the battery and screen. This makes the device last longer. Fair and recycled materials, such as plastic and aluminium, are used as much as possible in the production of this smartphone. Fairphone also pays attention to good and safe working conditions in its factories.
Fairphones are issued to employees by the Information & Library Services (ILS) division. In addition to new Fairphones, the university can also reissue used Samsung devices where possible. These are Samsung devices that have already been returned and still meet the technical and age requirements. As long as these devices are still available, not every employee will receive a Fairphone immediately. Employees who have an iPhone from Radboud University can continue to use it as long as the device is still functioning. However, returned iPhones will no longer be reissued.
Employees who prefer to use their private phone for work can request an RU SIM card for this purpose. The costs for using your own device will not be reimbursed. Naturally, smartphone models that have already been issued will continue to be supported by ILS colleagues, as will privately purchased smartphone models used for work.
Due to its longer lifespan, the total cost of a Fairphone is lower than that of comparable devices. In addition, Radboud University only needs to purchase, manage and support one standard model. This results in smaller stock, easier management and faster support. Manuals and instructions also only need to be maintained for one device.
Furthermore, less investment is required in knowledge of different models/brands. This also helps to speed up incident handling and, where necessary, smartphone replacement.
Fairphone offers a five-year warranty and long-term software support for up to eight years. This means that devices need to be replaced less quickly. This fits in with Radboud University’s circularity strategy, which focuses on the longest possible use and reuse of ICT hardware.
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Read the original on www.ru.nl »
About Space Weather
Products and DataForecasts
Report and Forecast of Solar and Geophysical Activity
Weak or minor degradation of HF radio communication on sunlit side, occasional loss of radio contact.
Low-frequency navigation signals degraded for brief intervals.
More about the NOAA Space Weather Scales
G4 Levels were first reached at 2:38pm EST (1938 UTC) on 19 January, 2026 upon CME shock arrival. CME passage is expected to continue through the evening with G4 levels remaining possible.
...
Read the original on www.swpc.noaa.gov »
Apple is testing a new design for App Store search ads on iPhone. Some users on iOS 26.3 are noticing that the blue background around sponsored results is no longer shown, blurring the line between what paid ad results look like and the real search results that follow.
This means the only differentiator between organic results and the promoted ad is the presence of the small ‘Ad’ banner next to the app icon. Right now, it appears to be in some kind of A/B test phase.
We have asked Apple for clarity on the change, and whether this will roll out more widely in the future.
It may be related to the company’s announcement from December that App Store search results will soon start including more than one sponsored result for a given search query. The removal of the blue background will mean all of the ads will appear in the list in a more integrated fashion.
Of course, this also has the effect of making it harder for users to quickly distinguish at a glance what is an ad and what isn’t, potentially misleading some users into not realising that the first result is a paid ad placement. While not great for user experience, it probably helps increase click-through rates which ultimately boosts Apple’s revenue in its ads business.
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Read the original on 9to5mac.com »
👋 Join our Discord community.
📖 Check out the GLM-4.7 technical blog, technical report(GLM-4.5).
📍 Use GLM-4.7-Flash API services on Z.ai API Platform.
👉 One click to GLM-4.7.
GLM-4.7-Flash is a 30B-A3B MoE model. As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
For local deployment, GLM-4.7-Flash supports inference frameworks including vLLM and SGLang. Comprehensive deployment instructions are available in the official Github repository.
vLLM and SGLang only support GLM-4.7-Flash on their main branches.
* using pip (must use pypi.org as the index url):
pip install -U vllm –pre –index-url https://pypi.org/simple –extra-index-url https://wheels.vllm.ai/nightly
pip install git+https://github.com/huggingface/transformers.git
* Install the supported versions of SGLang and Transformers (using uv is recommended):
uv pip install sglang==0.3.2.dev9039+pr-17247.g90c446848 –extra-index-url https://sgl-project.github.io/whl/pr/
uv pip install git+https://github.com/huggingface/transformers.git@76732b4e7120808ff989edbd16401f61fa6a0afa
using with transformers as
pip install git+https://github.com/huggingface/transformers.git
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
MODEL_PATH = “zai-org/GLM-4.7-Flash”
messages = [{“role”: “user”, “content”: “hello”}]
tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
inputs = tokenizer.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_dict=True,
return_tensors=“pt”,
model = AutoModelForCausalLM.from_pretrained(
pretrained_model_name_or_path=MODEL_PATH,
torch_dtype=torch.bfloat16,
device_map=“auto”,
inputs = inputs.to(model.device)
generated_ids = model.generate(**inputs, max_new_tokens=128, do_sample=False)
output_text = tokenizer.decode(generated_ids[0][inputs.input_ids.shape[1]:])
print(output_text)
vllm serve zai-org/GLM-4.7-Flash \
–tensor-parallel-size 4 \
–speculative-config.method mtp \
–speculative-config.num_speculative_tokens 1 \
–tool-call-parser glm47 \
–reasoning-parser glm45 \
–enable-auto-tool-choice \
–served-model-name glm-4.7-flash
python3 -m sglang.launch_server \
–model-path zai-org/GLM-4.7-Flash \
–tp-size 4 \
–tool-call-parser glm47 \
–reasoning-parser glm45 \
–speculative-algorithm EAGLE \
–speculative-num-steps 3 \
–speculative-eagle-topk 1 \
–speculative-num-draft-tokens 4 \
–mem-fraction-static 0.8 \
–served-model-name glm-4.7-flash \
–host 0.0.0.0 \
–port 8000
If you find our work useful in your research, please consider citing the following paper:
@misc{5team2025glm45agenticreasoningcoding,
title={GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models},
author={GLM Team and Aohan Zeng and Xin Lv and Qinkai Zheng and Zhenyu Hou and Bin Chen and Chengxing Xie and Cunxiang Wang and Da Yin and Hao Zeng and Jiajie Zhang and Kedong Wang and Lucen Zhong and Mingdao Liu and Rui Lu and Shulin Cao and Xiaohan Zhang and Xuancheng Huang and Yao Wei and Yean Cheng and Yifan An and Yilin Niu and Yuanhao Wen and Yushi Bai and Zhengxiao Du and Zihan Wang and Zilin Zhu and Bohan Zhang and Bosi Wen and Bowen Wu and Bowen Xu and Can Huang and Casey Zhao and Changpeng Cai and Chao Yu and Chen Li and Chendi Ge and Chenghua Huang and Chenhui Zhang and Chenxi Xu and Chenzheng Zhu and Chuang Li and Congfeng Yin and Daoyan Lin and Dayong Yang and Dazhi Jiang and Ding Ai and Erle Zhu and Fei Wang and Gengzheng Pan and Guo Wang and Hailong Sun and Haitao Li and Haiyang Li and Haiyi Hu and Hanyu Zhang and Hao Peng and Hao Tai and Haoke Zhang and Haoran Wang and Haoyu Yang and He Liu and He Zhao and Hongwei Liu and Hongxi Yan and Huan Liu and Huilong Chen and Ji Li and Jiajing Zhao and Jiamin Ren and Jian Jiao and Jiani Zhao and Jianyang Yan and Jiaqi Wang and Jiayi Gui and Jiayue Zhao and Jie Liu and Jijie Li and Jing Li and Jing Lu and Jingsen Wang and Jingwei Yuan and Jingxuan Li and Jingzhao Du and Jinhua Du and Jinxin Liu and Junkai Zhi and Junli Gao and Ke Wang and Lekang Yang and Liang Xu and Lin Fan and Lindong Wu and Lintao Ding and Lu Wang and Man Zhang and Minghao Li and Minghuan Xu and Mingming Zhao and Mingshu Zhai and Pengfan Du and Qian Dong and Shangde Lei and Shangqing Tu and Shangtong Yang and Shaoyou Lu and Shijie Li and Shuang Li and Shuang-Li and Shuxun Yang and Sibo Yi and Tianshu Yu and Wei Tian and Weihan Wang and Wenbo Yu and Weng Lam Tam and Wenjie Liang and Wentao Liu and Xiao Wang and Xiaohan Jia and Xiaotao Gu and Xiaoying Ling and Xin Wang and Xing Fan and Xingru Pan and Xinyuan Zhang and Xinze Zhang and Xiuqing Fu and Xunkai Zhang and Yabo Xu and Yandong Wu and Yida Lu and Yidong Wang and Yilin Zhou and Yiming Pan and Ying Zhang and Yingli Wang and Yingru Li and Yinpei Su and Yipeng Geng and Yitong Zhu and Yongkun Yang and Yuhang Li and Yuhao Wu and Yujiang Li and Yunan Liu and Yunqing Wang and Yuntao Li and Yuxuan Zhang and Zezhen Liu and Zhen Yang and Zhengda Zhou and Zhongpei Qiao and Zhuoer Feng and Zhuorui Liu and Zichen Zhang and Zihan Wang and Zijun Yao and Zikang Wang and Ziqiang Liu and Ziwei Chai and Zixuan Li and Zuodong Zhao and Wenguang Chen and Jidong Zhai and Bin Xu and Minlie Huang and Hongning Wang and Juanzi Li and Yuxiao Dong and Jie Tang},
year={2025},
eprint={2508.06471},
archivePrefix={arXiv},
primaryClass={cs.CL},
...
Read the original on huggingface.co »
With a balanced sales structure across individual markets, Dr. Ing. h.c. F. Porsche AG, Stuttgart, delivered a total of 279,449 cars to customers around the world in 2025. The figure was 310,718 for the previous year, representing a decline of 10 per cent. Porsche’s top priority remains a value-oriented derivative mix.
With a balanced sales structure across individual markets, Dr. Ing. h.c. F. Porsche AG, Stuttgart, delivered a total of 279,449 cars to customers around the world in 2025. The figure was 310,718 for the previous year, representing a decline of 10 per cent. Porsche’s top priority remains a value-oriented derivative mix.
“After several record years, our deliveries in 2025 were below the previous year’s level. This development is in line with our expectations and is due to supply gaps for the 718 and Macan combustion-engined models, the continuing weaker demand for exclusive products in China, and our value-oriented supply management,” says Matthias Becker, Member of the Executive Board for Sales and Marketing at Porsche AG. “In 2025, we delighted our customers with outstanding cars — such as the 911 Turbo S with its T-Hybrid drive system.” The response to the launch of the Cayenne Electric at the end of 2025 also shows, Becker adds, that Porsche is meeting customer expectations with its innovative and high-performance products.
With 84,328 deliveries, the Macan was the best-selling model line. North America remains the largest sales region with 86,229 deliveries — a figure that is in line with the previous year.
Porsche repositioned itself in 2025 and made forward-looking strategic product decisions. The delivery mix in 2025 underscores that the sports car manufacturer is consistently responding to global customer preferences by expanding its drivetrain strategy to offer combustion-engined, plug-in hybrid, and fully electric cars. In 2025, 34.4 per cent of Porsche cars delivered worldwide were electrified (+7.4 percentage points), with 22.2 per cent being fully electric and 12.1 per cent being plug-in hybrids. This puts the global share of fully electric vehicles at the upper end of the target range of 20 to 22 per cent for 2025. In Europe, for the first time, more electrified cars were delivered than pure combustion-engined models (57.9 per cent electrification share), with every third car being fully electric. Among the Panamera and Cayenne models, plug-in hybrid derivatives dominate the European delivery figures. At the same time, the combustion-engined and T-Hybrid 911 set a new benchmark with 51,583 deliveries worldwide.
With 86,229 deliveries, North America remains the largest sales region, as it was the year prior. After record deliveries in 2024, the Overseas and Emerging Markets also largely maintained its previous-year levels, with 54,974 cars delivered (-1 per cent). In Europe (excluding Germany), Porsche delivered 66,340 cars by the end of the year, down 13 per cent year-on-year. In the German home market, 29,968 customers took delivery of new cars — a decline of 16 per cent. Reasons for the decrease in both regions include supply gaps for the combustion-engined 718 and Macan models due to EU cybersecurity regulations.
In China, 41,938 cars were delivered to customers (-26 per cent). Key reasons for the decline remain challenging market conditions, especially in the luxury segment, as well as intense competition in the Chinese market, particularly for fully electric models. Porsche continues to focus on value-oriented sales.
Deliveries of the Macan totaled 84,328 units (+2 per cent), with fully electric versions accounting for over half at 45,367 vehicles. In most markets outside the EU, the combustion-engined Macan continues to be offered, with 38,961 of these being delivered. Some 27,701 Panamera models were delivered by the end of December (-6 per cent).
The 911 sports car icon recorded 51,583 deliveries by year-end (+1 per cent), setting another delivery record. The 718 Boxster and 718 Cayman totaled 18,612 deliveries, down 21 per cent from the previous year due to the model line’s phase-out. Production ended in October 2025.
The Taycan accounted for 16,339 deliveries (-22 per cent), mainly due to the slowdown in the adoption of electromobility. The keys to 80,886 Cayenne models were handed to customers in 2025, a decline of 21 per cent, partly due to catch-up effects the previous year. The new fully electric Cayenne celebrated its world premiere in November, with the first markets to offer the model beginning to deliver to customers from this spring. It will be offered alongside combustion-engined and plug-in hybrid versions of the Cayenne.
Looking ahead, Matthias Becker says: “In 2026, we have a clear focus; we want to manage demand and supply according to our ‘value over volume’ strategy. At the same time, we are planning our volumes for 2026 realistically, considering the production phase-out of the combustion-engined 718 and Macan models.” In parallel, Porsche is consistently investing in its three-pronged powertrain strategy and will continue to inspire customers with unique sports cars in 2026. An important component is the expansion of the brand’s customization offering — via both the Exclusive Manufaktur and Sonderwunsch program. In doing so, the company is responding to customers’ ever-increasing desire for individualization.
All amounts are individually rounded to the nearest cent; this may result in minor discrepancies when summed.
This press release contains forward-looking statements and information on the currently expected business development of Porsche AG. These statements are subject to risks and uncertainties. They are based on assumptions about the development of economic, political and legal conditions in individual countries, economic regions and markets, in particular for the automotive industry, which we have made based on the information available to us and which we consider to be realistic at the time of publication. If any of these or other risks materialise, or if the assumptions underlying these statements prove incorrect, the actual results could be significantly different from those expressed or implied by such statements. Forward-looking statements in this presentation are based solely on the information pertaining on the day of publication.
These forward-looking statements will not be updated later. Such statements are valid on the day of publication and may be overtaken by later events.
This information does not constitute an offer to exchange or sell or offer to exchange or purchase securities.
...
Read the original on newsroom.porsche.com »
At the end of November 2025, Ursula von der Leyen gave Trump and his tech oligarchs an early Christmas present: an unprecedented attack on digital rights. In its so-called Digital Omnibus, the European Commission proposed weakening important rules designed to protect us from Big Tech’s abuses of power.
These are the protections that keep everyone’s data safe, governments and companies accountable, protect people from having artificial intelligence (AI) systems decide their life opportunities, and ultimately keep our societies free from unchecked surveillance.
At the same time, the Digital Omnibus is part of the European Commission’s deregulation agenda, which threatens key social and environmental standards in Europe. Ironically this deregulation agenda is being promoted by the Commission as a way to make the EU ‘competitive’ — despite in reality actively empowering US Big Tech companies that dominate the field.
The Digital Omnibus was immediately heavily criticised by numerous civil society organisations. Politico even called it the end of the ‘Brussels effect’ — that is, that European tech regulations are adopted in other countries — and wrote that “Washington is [now] setting the pace on deregulation in Europe.”
To show the extent of Big Tech’s influence on the Digital Omnibus, we compared the Commission’s proposals with the lobbying positions from Big Tech and its associations.
The proposals in the Digital Omnibus concern both data protection and rules for AI. While the EU mistakenly speaks of benefits for European corporations, it is clear that weak digital rules strengthen the power of Google, Microsoft, Meta etc, thereby jeopardising the goal of becoming more independent from Big Tech and the US.
In the past, Big Tech has repeatedly spread the one-sided lobbying message that data protection hinders economic growth and innovation, especially with regard to AI. This includes exceptions for SMEs and a fundamental focus on making more use of data instead of protecting it.
Tech companies are spreading these messages with a record-breaking lobbying budget, a huge lobbying network, and support from the Trump administration. The digital industry’s annual lobby spending has grown from €113 million in 2023 to €151 million today — an increase of 33.6 percent in just two years.
Now, the European Commission appears to be bowing to this lobbying pressure and adopting key lobbying messages from Google, Microsoft, Meta and their many lobby organisations in its Digital Omnibus.
Here we break down these industry lobbying messages, how they have been adopted by the Commission as proposed text changes, and what the real world impacts could be.
...
Read the original on corporateeurope.org »
NVIDIA executives allegedly authorized the use of millions of pirated books from Anna’s Archive to fuel its AI training. In an expanded class-action lawsuit that cites internal NVIDIA documents, several book authors claim that the trillion-dollar company directly reached out to Anna’s Archive, seeking high-speed access to the shadow library data.
NVIDIA executives allegedly authorized the use of millions of pirated books from Anna’s Archive to fuel its AI training. In an expanded class-action lawsuit that cites internal NVIDIA documents, several book authors claim that the trillion-dollar company directly reached out to Anna’s Archive, seeking high-speed access to the shadow library data.
Chip giant NVIDIA has been one of the main financial beneficiaries in the artificial intelligence boom.
Revenue surged due to high demand for its AI-learning chips and data center services, and the end doesn’t appear to be in sight.
Besides selling the most sought-after hardware, NVIDIA is also developing its own models, including NeMo, Retro-48B, InstructRetro, and Megatron. These are trained using their own hardware and with help from large text libraries, much like other tech giants do.
Like other tech companies, NVIDIA has also seen significant legal pushback from copyright holders in response to its training methods. This includes authors, who, in various lawsuits, accused tech companies of training their models on pirated books.
In early 2024, for example, several authors sued NVIDIA over alleged copyright infringement.
Through the class action lawsuit, they claimed that the company’s AI models were trained on the Books3 dataset that included copyrighted works taken from the ‘pirate’ site Bibliotik. Since this happened without permission, the authors demanded compensation.
In response, NVIDIA defended its actions as fair use, noting that books are nothing more than statistical correlations to its AI models. However, the allegations didn’t go away. On the contrary, the plaintiffs found more evidence during discovery.
Last Friday, the authors filed an amended complaint that significantly expands the scope of the lawsuit. In addition to adding more books, authors, and AI models, it also includes broader “shadow library” claims and allegations.
The authors, including Abdi Nazemian, now cite various internal Nvidia emails and documents, suggesting that the company willingly downloaded millions of copyrighted books.
The new complaint alleges that “competitive pressures drove NVIDIA to piracy”, which allegedly included collaborating with the controversial Anna’s Archive library.
According to the amended complaint, a member of Nvidia’s data strategy team reached out to Anna’s Archive to find out what the pirate library could offer the trillion-dollar company
“Desperate for books, NVIDIA contacted Anna’s Archive—the largest and most brazen of the remaining shadow libraries—about acquiring its millions of pirated materials and ‘including Anna’s Archive in pre-training data for our LLMs’,” the complaint notes.
“Because Anna’s Archive charged tens of thousands of dollars for ‘high-speed access’ to its pirated collections […] NVIDIA sought to find out what “high-speed access” to the data would look like.”
According to the complaint, Anna’s Archive then warned Nvidia that its library was illegally acquired and maintained. Because the site previously wasted time on other AI companies, the pirate library asked NVIDIA executives if they had internal permission to move forward.
This permission was allegedly granted within a week, after which Anna’s Archive provided the chip giant with access to its pirated books.
“Within a week of contacting Anna’s Archive, and days after being warned by Anna’s Archive of the illegal nature of their collections, NVIDIA management gave ‘the green light’ to proceed with the piracy. Anna’s Archive offered NVIDIA millions of pirated copyrighted books.”
The complaint states that Anna’s Archive promised to provide NVIDIA with access to roughly 500 terabytes of data. This included millions of books that are usually only accessible through Internet Archive’s digital lending system, which itself has been targeted in court.
The complaint does not explicitly mention whether NVIDIA ended up paying Anna’s Archive for access to the data.
Additionally, it’s worth mentioning that NVIDIA also stands accused of using other pirated sources. In addition to the previously included Books3 database, the new complaint also alleges that the company downloaded books from LibGen, Sci-Hub, and Z-Library.
In addition to downloading and using pirated books for its own AI training, the authors allege NVIDIA distributed scripts and tools that allowed its corporate customers to automatically download “The Pile“, which contains the Books3 pirated dataset.
These allegations lead to new claims of vicarious and contributory infringement, alleging that NVIDIA generated revenue from customers by facilitating access to these pirated datasets.
Based on these and other claims, the authors request to be compensated for the damages they suffered. This applies to the named authors, but also to potentially hundreds of others who may later join the class action lawsuit.
As far as we know, this is the first time that correspondence between a major U. S. tech company and Anna’s Archive was revealed in public. This will only raise the profile of the pirate library, which just lost several domain names, even further.
A copy of the first consolidated and amended complaint, filed at the U. S. District Court for the Northern District of California, is available here (pdf). The named authors include Abdi Nazemian, Brian Keene, Stewart O’Nan, Andre Dubus III, and Susan Orlean.
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Read the original on torrentfreak.com »
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