Weekly Review 18 October 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. Generative AI is being used by malware authors: https://www.bleepingcomputer.com/news/security/openai-confirms-threat-actors-use-chatgpt-to-write-malware/
2. Is AI going to take over so much of our thinking for us that we become stupid? https://www.nzherald.co.nz/hawkes-bay-today/hastings-leader/use-it-or-lose-the-bodys-most-important-muscle-danielle-harper/RD4FFHKTOFDLLO2UWKDSVI3UTI/
3. Will OpenAI (and other AI companies) be forced into the mass surveillance business to survive? https://futurism.com/the-byte/openai-most-orwellian-company
4. How AI can improve data analytics: https://www.datasciencecentral.com/empowering-decision-making-with-ai-in-data-analytics/
5. A technique to reduce AI power consumption by using integer-based maths instead of floating point operations: https://www.techspot.com/news/105075-new-ai-algorithm-promises-slash-ai-power-consumption.html
6. While it's good that content owners get compensated for the use of their material as AI training data, will these deals further restrict the development of such large models to rich corporations? https://dataconomy.com/2024/10/09/openai-partners-with-hearst-now-has-more-content-to-train-ai/
7. This AI is vulnerable to having its safeguards broken by emotional manipulation: https://www.theregister.com/2024/10/12/anthropics_claude_vulnerable_to_emotional/
8. Meta's AI launches in more countries: https://www.theguardian.com/technology/2024/oct/09/meta-launches-its-ai-chatbot-in-the-uk-on-facebook-and-instagram
9. AI can now model excited molecules, a major contribution to computational chemistry: https://dataconomy.com/2024/10/10/ai-in-quantum-chemistry-research/
10. AI has been used in the insurance industry for a long time. This article describes how it can be used to improve profitability: https://www.datasciencecentral.com/reducing-insurance-loss-ratios-with-data-science-and-ai-algorithms/
11. How AI is going to make data breaches worse: https://www.computerworld.com/article/3550369/think-data-leaks-are-bad-now-wait-until-genai-supersizes-them.html
12. The challenges of integrating AI into the enterprise: https://www.datasciencecentral.com/critical-decision-making-for-enterprise-ai/
13. Another way of reducing AI energy demands: processor-memory hybrids: https://spectrum.ieee.org/embedded-dram
14. Different regulations around AI is creating confusion and uncertainty for organisations hoping to use it: https://www.informationweek.com/machine-learning-ai/decoding-ai-compliance-turning-regulations-into-a-competitive-edge
15. An AI powered invention machine. But how original will any of its inventions be? https://spectrum.ieee.org/ai-inventions
16. I don't think physicists are very happy about AI researchers getting the physics Nobel prize: https://spectrum.ieee.org/nobel-prize-in-physics
17. Applications of AI in biology: https://techcrunch.com/2024/10/12/where-we-are-today-in-biology-ai-is-similar-to-gpt-in-2020-an-interview-with-the-ceo-of-africas-biggest-ai-startup/
18. AI is going to accelerate online radicalisation: https://www.theguardian.com/australia-news/2024/oct/11/australias-spy-chief-warns-ai-will-accelerate-online-radicalisation
19. Employees are bringing their own AI to work to help them with their jobs. This is very similar to how PCs made it into the workplace: https://dataconomy.com/2024/10/10/bring-your-own-ai-on-the-rise-with-workplaces-sleeping-on-generative-ai/
20. Taiwan has a shortage of people skilled in AI: https://spectrum.ieee.org/ai-in-taiwan
21. Some of the legal liabilities around AI and how organisations can handle them: https://www.informationweek.com/machine-learning-ai/ai-is-creating-new-forms-of-liability-how-can-it-be-managed-
22. Is Public AI a counter to the increasingly closed models of big business? https://dataconomy.com/2024/10/09/public-ai-mozilla-tells-how-we-should-regulate-ai/
23. I agree that AI is not yet close to posing an existential threat to humans. I think the greatest threats AI currently poses to us are energy demands contributing to climate change, and misuse by others: https://techcrunch.com/2024/10/12/metas-yann-lecun-says-worries-about-a-i-s-existential-threat-are-complete-b-s/
24. AI generated material is going into Wikipedia. How many AI are using Wikipedia for training data? https://www.extremetech.com/internet/people-are-stuffing-wikipedia-with-ai-generated-garbage