In Spain, there's a content creator called DotCSV who makes up-to-date videos about AI (he also has an english channel). Also, TLDR newsletter offers a weekly report about tech innovations, official social media from tech companies (OpenAI, Microsoft) and even N8N/Make/Zapier related content, because they are the most popular automation tools out there. Also, for finding new tools, some websites such as ProductHunt/Slant analyze which are the most popular tools and also can be a good starting point. But the most underrated tool is just attending events! Most of them, after the talk, have networking spaces where you can meet cool people (like me) who work with AI and just by having a nice conversation, you could learn from professionals or enthusiasts.
I usually try not to rely on just one source, but instead follow a mix of newsletters, podcasts, and people who focus on AI from different perspectives. For newsletters, I like ones that explain things clearly without too much hype, and that actually break down what’s going on instead of just sharing headlines. With podcasts, I tend to prefer conversations with experts, because they give more context and explain ideas in a more natural way. And when it comes to people, I usually trust researchers, engineers, or professionals who are actively working in the field, rather than influencers who might oversimplify things. In general, what matters most to me is that the source is consistent, transparent, and not trying to exaggerate everything. I also like to compare information from different places, just to make sure I’m getting a more complete and accurate picture.
The first entry into the topic of AI is often via social media – a low-threshold approach, but one that also involves a lot of half-knowledge. This makes it all the more important to critically question sources and check their seriousness. As a reliable orientation, different contact points are recommended, depending on your interests and previous knowledge: Austrian experts offer in-depth insights from science and practice. Two personalities should be mentioned as representatives: Prof. Dr. Sepp Hochreiter, inventor of the LSTM networks and AI pioneer at the JKU Linz, is considered one of the leading voices in European basic research. Jeannette Gorzala is an important contact person for legal questions relating to AI regulation – the Viennese lawyer and vice president of AI Austria specializes in the EU AI Act. Scientific journals offer the current state of research at the highest level, but are often only accessible with prior knowledge and are sometimes subject to a fee. Publishers specializing in IT topics are closing this gap: Heise, with its various publications – including c't and heise online – offers reliable, editorially verified journalism on technological developments and is also easy to understand for a wider audience.
In my opinion, trustworthy sources are above all the newsletters of IQES. In the last newsletter, for example, the social and economic effects of artificial intelligence were discussed. The focus was on the following questions, among others: "How do AI systems influence the economy, the world of work and society? What opportunities and risks does this development entail? And what could the interaction between man and machine look like in the future?" The newsletter is prepared in an easy-to-understand way and deals with important topics related to AI on a scientifically sound basis. This combination of practical relevance and scientific classification is particularly valuable for teachers. Another trustworthy source is contributions from colleges and universities. There, topics related to AI are not only dealt with in a technically sound manner, but usually also critically examined. Sources that transparently present both the opportunities and limitations of AI and thus shed light on both sides are particularly helpful. Discussions with researchers or teachers who are intensively involved in this topic can also be very valuable. Individuals can also be credible – provided that they clearly justify their statements and provide comprehensible arguments. Since a lot is constantly changing in the field of AI, I think it is particularly important to compare different sources with each other and to critically examine information.
I usually just follow people I trust or value their opinion a lot in the tech industry. I don’t really follow newsletters or podcasts that are specific about AI in particular. Ultimately everyone is talking about it, so you will hear about it anyways, you might as well get your opinions from people that share your values.
I mostly rely on YouTube tech channels for AI updates although I don't specifically look for them, just when they pop up I watch the video.
I follow a few trusted newsletters, try new tools myself, and learn by experumenting with small projects instead of just reading about trends.
I follow platforms like Lifehack, various professional communities, and industry groups, where practitioners share real experiences and practical use cases. In addition, I regularly attend trainings, seminars and workshops, which help me stay up to date and better understand how AI is applied in real business and educational contexts.I also learn a lot through direct communication with friends who are more advanced in AI. They often share practical insights and real use cases, which I find extremely valuable for understanding how AI works beyond theory.
