Technology

STOCKHOLM, Sept 25 (Reuters) - Vienna-based advocacy group NOYB on Wednesday said it has filed a complaint with the Austrian data protection authority against Mozilla accusing the Firefox browser maker of tracking user behaviour on websites without consent.

NOYB (None Of Your Business), the digital rights group founded by privacy activist Max Schrems, said Mozilla has enabled a so-called “privacy preserving attribution” feature that turned the browser into a tracking tool for websites without directly telling its users.

Mozilla had defended the feature, saying it wanted to help websites understand how their ads perform without collecting data about individual people. By offering what it called a non-invasive alternative to cross-site tracking, it hoped to significantly reduce collecting individual information.

A new project launching today aims to capitalize on the momentum seen within the fediverse, also known as the open social web, which describes interconnected social networking services powered by the ActivityPub protocol. Co-founded by the co-author and current editor of ActivityPub, Evan Prodromou, a new nonprofit organization called the Social Web Foundation will focus on expanding the fediverse, improving ActivityPub and the user experience, informing policymakers, and educating people about the fediverse and how they can participate.

cross-posted from: https://lemmygrad.ml/post/5770703

My own article as a companion to the new ProleWiki homepage we are releasing very very soon, explaining how we started from nothing and got the final full page.

Some of the world’s largest companies have been accused of undermining democracy across the world by financially backing far-right political movements, funding and exacerbating the climate crisis, and violating trade union rights and human rights in a report published on Monday by the International Trade Union Confederation (ITUC).

Amazon, Tesla, Meta, ExxonMobil, Blackstone, Vanguard and Glencore are the corporations included in the report. The companies’ lobbying arms are attempting to shape global policy at the United Nations Summit of the Future in New York City on 22 and 23 September.

cross-posted from: https://lemm.ee/post/43060836

WASHINGTON, Sept 21 (Reuters) - The U.S. Commerce Department is expected on Monday to propose prohibiting Chinese software and hardware in connected and autonomous vehicles on American roads due to national security concerns, two sources told Reuters.

The Biden administration has raised serious concerns about the collection of data by Chinese companies on U.S. drivers and infrastructure as well as the potential foreign manipulation of vehicles connected to the internet and navigation systems.

The proposed regulation would ban the import and sale of vehicles from China with key communications or automated driving system software or hardware, said the two sources, who declined to be identified because the decision had not been publicly disclosed.

The move is a significant escalation in the United States' ongoing restrictions on Chinese vehicles, software and components. Last week, the Biden administration locked in steep tariff hikes on Chinese imports, including a 100% duty on electric vehicles as well as new hikes on EV batteries and key minerals.

cross-posted from: https://jlai.lu/post/10771034

Personal review:

A good recap of his previous writings and talks on the subject for the first third, but a bit long. Having paid attention to them for the past year or two, my attention started drifting a few times. I ended up being more impressed with how much he's managed to condense explaining "enshittification" from 45+ minutes down to around 15.

As soon as he starts building off of that to work towards the core of his message for this talk, I was more-or-less glued to the screen. At first because it's not exactly clear where he's going, and there are (what felt like) many specific court rulings to keep up with. Thankfully, once he has laid enough groundwork he gets straight his point. I don't want to spoil or otherwise lessen the performance he gives, so I won't directly comment on what his point is in the body of this post - I think the comments are better suited for that anyways.

I found the rest to be pretty compelling. He rides the fine line between directionless discontent and overenthusiastic activist-with-a-plan as he doubles down on his narrative by calling back to the various bits of groundwork he laid before - now that we're "in" on the idea, what felt like stumbling around in the dark turns into an illuminating path through some of the specifics of the last twenty to forty years of the dynamics of power between tech bosses and their employees. The rousing call to action was also great way to end and wrap it all up.

I've become very biased towards Cory Doctorow's ideas, in part because they line up with a lot of the impressions I have from my few years working as a dev in a big-ish multinational tech company. This talk has done nothing to diminish that bias - on the contrary.

LONDON, Sept 20 (Reuters) - The world's biggest technology companies have embarked on a final push to persuade the European Union to take a light-touch approach to regulating artificial intelligence as they seek to fend off the risk of billions of dollars in fines.

EU lawmakers in May agreed the AI Act, the world's first comprehensive set of rules governing the technology, following months of intense negotiations between different political groups.

Alibaba Cloud, the cloud computing arm of China’s Alibaba Group Ltd., today announced the release of more than 100 new artificial intelligence large language models open source as part of the Qwen 2.5 family of models.

Revealed at the company’s Apsara Conference, the new model series follows the release of the company’s foundation model Tongyi Qianwen, or Qwen, last year. Since then, the Qwen models have been downloaded more than 40 million times across platforms such as Hugging Face and Modelscope.

The new models range from sizes as small as a half-billion parameters to as large as 72 billion parameters. In an LLM, parameters define the behavior of an AI model and what it uses to make predictions about its skills such as mathematics, coding or expert knowledge.

Smaller, more lightweight models can be trained quickly using far less processing power on more focused training sets and excel at simpler tasks. In contrast, larger models need heavy processing power and longer training times and generally perform better on complex tasks requiring deep language understanding.

https://ghostarchive.org/varchive/iRv_syz2DAc