Bjarteblogg Ymse
https://www.vice.com/en/article/jg5qy8/reddit-moderators-brace-for-a-chatgpt-spam-apocalypse
Reddit moderators say they already see an increase in spam and that the future will “require a lot of human labor.”
According to a new study published on Thursday in the science journal Nature Chemical Biology, a group of scientists from McMaster University and the Massachusetts Institute of Technology have discovered a new antibiotic that can be used to kill a deadly hospital superbug.
The superbug in question is Acinetobacter baumannii, which the World Health Organization has classified as a “critical” threat among its “priority pathogens” – a group of bacteria families that pose the “greatest threat” to human health.
Hackers who broke into the Minneapolis Public Schools earlier this year have circulated an enormous cache of files that appear to include highly sensitive documents on schoolchildren and teachers, including allegations of teacher abuse and students’ psychological reports.
https://softwarecrisis.dev/letters/the-poisoning-of-chatgpt/
Given that we’ve known about model poisoning for years, and given the strong incentives the black-hat SEO crowd has to manipulate results, it’s entirely possible that bad actors have been poisoning ChatGPT for months. We don’t know because OpenAI doesn’t talk about their processes, how they validate the prompts they use for training, how they vet their training data set, or how they fine-tune ChatGPT. Their secrecy means we don’t know if ChatGPT has been safely managed.
https://jalopnik.com/car-thieves-hack-can-bus-headlight-wire-bluetooth-1850307214
Hackers can inject malicious code into a car’s electronic network via headlight or taillight wires, fooling the car into thinking the key is present.
https://www.bbc.com/news/science-environment-65689580
A paralysed man has been able to walk simply by thinking about it thanks to electronic brain implants, a medical first he says has changed his life.
…
The electronic implants wirelessly transmit his thoughts to his legs and feet via a second implant on his spine.
https://www.theverge.com/23648726/hp-officejet-printer-region-how-to-change-why
I moved across the ocean and took my printer with me. Then I discovered it was region-locked. A wiser man would have bought a new one.
Fast-growing e-commerce app Pinduoduo had an EvilParcel stow-away.
Android apps digitally signed by China’s third-biggest e-commerce company exploited a zero-day vulnerability that allowed them to surreptitiously take control of millions of end-user devices to steal personal data and install malicious apps, researchers from security firm Lookout have confirmed.
I løpet av noen uker skal Helse Sør-Øst ta i bruk en skytjeneste for å håndtere nordmenns pasientdata. Datatilsynet advarer om at USA ikke er ansett som et trygt land å sende slike opplysninger til, og ber dem sette på bremsen.
experienced attackers could easily create an exploit capable of remotely compromising vulnerable devices without triggering the targets’ attention.
https://noyb.eu/en/austrian-dsb-meta-tracking-tools-illegal
the Austrian Data Protection Authority (DSB) has decided that the use of Facebook’s tracking pixel directly violates the GDPR
…
The DSBs decision to declare Google Analytics illegal, also applies to the “Facebook Login” and “Meta Pixel” tools provided by Meta: If these tools are used, data is inevitably transferred to the USA, where the data is at risk of intelligence surveillance. European website operators are therefore advised not to include any tools from Meta on their websites.
https://www.wired.com/story/welfare-state-algorithms/
Obscure government algorithms are making life-changing decisions about millions of people around the world. Here, for the first time, we reveal how one of these systems works.
…
Lighthouse Reports and WIRED obtained Rotterdam’s welfare fraud algorithm and the data used to train it, giving unprecedented insight into how such systems work. This level of access, negotiated under freedom-of-information laws, enabled us to examine the personal data fed into the algorithm, the inner workings of the data processing, and the scores it generates. By reconstructing the system and testing how it works, we found that it discriminates based on ethnicity and gender. It also revealed evidence of fundamental flaws that made the system both inaccurate and unfair.
https://cyberscoop.com/meta-large-language-model-available-online/
A set of sophisticated large language models developed by Facebook parent company Meta — and intended to be accessed only by authorized researchers — were made available for download on Friday, releasing to the public the most powerful such AI model yet and increasing the likelihood that the technology might be misused.
https://www.politico.com/news/2023/03/07/privacy-loophole-ring-doorbell-00084979
Police were investigating his neighbor. A judge gave officers access to all his security-camera footage, including inside his home.
…
It really takes the control out of the hands of the homeowners, and I think that’s hugely problematic,” said Jennifer Lynch, the surveillance litigation director of the Electronic Frontier Foundation, a digital rights advocacy group.
In the debate over home surveillance, much of the concern has focused on Ring in particular, because of its popularity, as well as the company’s track record of cooperating closely with law enforcement agencies.
https://www.washingtonpost.com/technology/2023/03/05/ai-voice-scam/
Scammers are using artificial intelligence to sound more like family members in distress. People are falling for it and losing thousands of dollars.
https://www.zdnet.com/article/the-next-big-threat-to-ai-might-already-be-lurking-on-the-web/
Artificial Intelligence (AI) and machine-learning experts are warning against the risk of data-poisoning attacks that can work against the large-scale datasets commonly used to train the deep-learning models in many AI services.
Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.