Open New Learning Lab Resources

Lessons Learned After 6 Months of Building AI Agents as a Non-Programmer (without the hype)👨‍💻 I just released a 43-minute deep dive on YouTube, breaking down what I’ve learned, the mistakes I’ve made, and cutting through the AI agent hype to share real insights on building AI systems—without a coding background. It’s a crazy time we’re living in. The barrier to entry for AI automation has never been lower, and no-code tools like n8n let anyone build AI-powered workflows faster than ever. 🧠Here are the 7 key lessons I’ve learned: 1️⃣ Build workflows first before jumping into AI agents. Many problems can be solved with simple rule-based automation. 2️⃣ Always wireframe before building. Skipping this step is like trying to solve a puzzle without seeing the picture. 3️⃣ Context is everything. AI performance depends on predefined logic, user context, and real-time data. 4️⃣ Know when NOT to use a vector database. They aren’t magic, and structured data is often better suited for relational databases. 5️⃣ Prompting AI agents is an art. Write your own prompts and refine them reactively—don’t rely on auto-generated prompts. 6️⃣ Scaling AI agents is a nightmare. A few hallucinations may not matter for one user, but at scale, they become huge problems. 7️⃣ No-code tools like n8n are powerful, but they have limits. They’re great for MVPs and internal automations, but scaling sometimes requires a hybrid approach with custom code. 🔗 Watch the Full Video Here: https://lnkd.in/gArmrd8p 🔗 Join the Best Community to Learn How to Build No-Code AI Agents: https://lnkd.in/dqVsX4Ab | 28 comments on LinkedIn

An article in Nature Human Behaviour examines the cognitive and emotional reasons behind people’s resistance to AI tools, even when these tools could be beneficial. The authors, structure their analysis around five key psychological barriers: 1. Opacity – Many AI systems function as “black boxes,” meaning their decision-making processes are difficult to interpret. This lack of transparency fosters distrust, as users struggle to understand or predict AI behaviour. To address this, some AI-powered products now prioritise explainability. One example is Netflix recommendations, which provides explanations such as “We suggest this movie because you watched Don’t Look Up.” 2. Emotionlessness – AI lacks human emotions, making interactions with it feel impersonal and detached. People often prefer human decision-makers because they perceive them as capable of empathy, care, and moral reasoning. 3. Rigidity – AI operates based on predefined rules and patterns, which can make it appear inflexible or incapable of handling nuanced, context-dependent situations in the way humans can. 4. Autonomy – The idea that AI acts independently can create discomfort, as it raises concerns about control, agency, and the unpredictability of automated systems. This becomes particularly important for activities through which we express our identity. People are more trusting of AI in situations where they don't seek agency. 5. Group Membership – Humans have a natural tendency to trust other humans over non-human agents. AI is often perceived as an “outsider,” which can lead to resistance, particularly in domains where social interaction or human judgment is highly valued. The article discusses how these psychological barriers are deeply rooted in human cognition and biases, drawing on empirical studies that show both correlational and causal links between these factors and AI resistance. The authors also separate the barriers into two categories: - AI-related factors (e.g., a system’s lack of transparency or inability to convey emotions) - User-related factors (e.g., cognitive biases, emotional responses, and cultural influences shaping AI perception) This distinction is important for designing interventions that promote the adoption of beneficial AI tools. However, the authors warn that efforts to overcome AI resistance, for example by including anthropormorphic features, could have unintended consequences. | 28 comments on LinkedIn

BREAKING! ChatGPT 4.5 is here! And it feels a bit magical. My favorite part is the increased EQ - check out the highlight video below. This feels like the future of AI. More Claude-y, which I LOVE. Empathy is exactly what I've been missing from ChatGPT! It's been fine - but this is another level. This is how we will actually communicate with AI. It's the thing I love about Claude. Microsoft is leaning into empathy with Mustafa Suleyman after his turn at Inflection. Okay, let's get into it. BTW - the video is MY OWN EDIT. I just loved the EQ example so much. HIGHLIGHTS: EXCLUSIVE ACCESS: Initially available only to $200/month Pro subscribers, coming to Plus users next week MOST HUMAN-LIKE YET: Features significantly enhanced emotional intelligence and conversational abilities LARGEST MODEL: OpenAI's biggest model to date, though specific parameters remain undisclosed FINAL PRE-REASONING MODEL: Last major release before OpenAI introduces chain-of-thought reasoning in GPT-5 >>The Evolution of AI Conversation What stands out with 4.5 is how much more human the interactions feel. The model demonstrates substantially improved emotional intelligence, with responses that show greater nuance and sensitivity. This shift toward a more empathetic, Claude-like conversation style suggests OpenAI is recognizing that raw intelligence isn't enough – it matters HOW it talks to you. >>Key Features That Make It Special Enhanced Knowledge and Reasoning - The expanded knowledge base means deeper, more comprehensive answers - Significantly fewer hallucinations, making it more reliable for critical tasks - Pattern recognition that borders on intuitive understanding Reimagined User Experience - Conversations flow naturally, without the mechanical feel of earlier models - Context handling that actually remembers what you've been discussing - Lightning-fast responses despite its massive size >>The Price of Progress Access to this cutting-edge technology comes at a premium. ChatGPT Pro subscribers ($200/month) get first access, with Plus users ($20/month) joining the party the week of March 3. Enterprise and Education users will follow shortly after. >>Where 4.5 Really Shines The model particularly excels at: - Creative writing with genuine emotional depth - Complex problem-solving that requires nuanced understanding - Communication tasks where tone and empathy matter - Multi-step planning and execution, especially for coding workflows Pretty cool. ++++++++++++++++++++ UPSKILL YOUR ORGANIZATION: When your company is ready, we are ready to upskill your workforce at scale. Our Generative AI for Professionals course is tailored to enterprise and highly effective in driving AI adoption through a unique, proven behavioral transformation. It's pretty awesome. Check out our website or shoot me a DM.

➡️ Was sagt die aktuelle IAP Studie 2024? Das ZHAW IAP Institut für Angewandte Psychologie hat Fach- und…

We also… | 23 comments on LinkedIn

🔍 Deep Dive in die Welt der Deep Research Modelle von OpenAI, Perplexity und co! 🌐Welches davon, macht den besten Eindruck?In der dynamischen Kontext der K...

This is what's keeping me up at night these days... 1. google has become unusable. once you get used to "deep research" (thanks grok, perplexity etc), google… | 251 comments on LinkedIn

Wie können wir KI in den unterschiedlichsten Jobs und Bereichen einsetzen, um unser Arbeitsleben zu verbessern? In diesem Video schauen wir uns genau das an!...

17x interne KI Chatbots / CompanyGPTs eingeführt. Diese 11 Lektionen habe ich gelernt: 𝗗𝗮𝘀 "𝗪𝗮𝗿𝘂𝗺" 𝘇𝗮̈𝗵𝗹𝘁. Was ist das Ziel der KI-Initiative?… | 54 Kommentare auf LinkedIn

🔍🌟 Entdecke, wie du mit einem selbstgebauten KI-Assistenten deinen Arbeitsalltag als Learning Professional vereinfachen kannst! In diesem Video zeige ich d...

Die Ergebnisse einer Studie des Stifterverbands der deutschen Wissenschaft zeigen, dass Unternehmen das Potenzial von KI noch nicht ausreichend ausschöpfen - auch weil die dazu erforderlichen Kompetenzen in der Breite noch nicht verfügbar sind. Die Studie liefert ein einfaches Modell für KI-Kompeten

WHAT'S HAPPENING RIGHT NOW Measurable Current Changes: • Google reports 25% of all new code is now AI-generated • Meta has announced plans to replace mid-level engineers with AI tools in 2025 • 92% of companies plan to increase AI investments in the next three years ++++++++++++++++++++++++ DIRECT STATEMENTS FROM INDUSTRY LEADERS Sam Altman, OpenAI: • AI agents will begin transforming the workforce as soon as 2025 • These systems will perform tasks similar to early-career software engineers • Could be deployed across thousands or millions of instances Dario Amodei, Anthropic: • Projects AI systems will be broadly better than humans at most tasks by 2026-27 • Anticipates transformation across multiple sectors including most workplace technologies ++++++++++++++++++++++++ DOCUMENTED INDUSTRY SHIFTS Current Market Changes: • 25% of global digital jobs becoming fully remote • Growth sectors identified: technology, green energy, human-centric roles • First AI agents actively joining workforce operations in 2025 ++++++++++++++++++++++++ WHAT TO DO: This isn't just another strategic planning exercise. Here's what actually works: 1. Comprehensive Upskilling - Not Just Tools   • Tools don't create transformation - behavior change does   • Just like giving someone a treadmill doesn't get them in shape, giving them AI tools doesn't create innovation   2. All-Organization Approach   • Best solutions often come from unexpected places   • Every department will be transformed - this isn't like digital marketing that affects one area      3. Strategic Integration   • This affects everything: strategy, delivery, operations, legal, HR   • Your front-line workers will know best AI can make the biggest impact   • Success requires both top-down support and bottom-up innovation ++++++++++++++++++++ When your company is ready, we are ready to upskill your workforce at scale. Our Generative AI for Professionals course is tailored to enterprise and highly effective in driving AI adoption through a unique, proven behavioral transformation. It's pretty awesome. Check out our website or shoot me a DM. | 161 comments on LinkedIn

➡️ Ensuring an alignment of learning objectives. ➡️ Checking for missing instructional opportunities. ➡️ Avoiding unnecessary complexity or gaps. I've put the HANDOUTS mentioned in the comments section. I will be updating this video with better example when I get time in april, so stay tuned for a new and improved version. I made this one over 3 years ago. #InstructionalDesign #LearningObjectives #BloomsTaxonomy | 43 comments on LinkedIn

Introducing Deep Research on Perplexity. Deep Research lets you generate in-depth research reports on any topic. Available to everyone for free—up to 5 queries per day for non-subscribers and 500 queries per day for Pro users. Perplexity's Deep Research surpasses leading models in performance—scoring 93.9% accuracy on the SimpleQA benchmark. Deep Research on Perplexity scores 21.1% on Humanity’s Last Exam, outperforming Gemini Thinking, o3-mini, o1, DeepSeek-R1, and other top models. In addition to attaining high scores on industry benchmarks, Deep Research on Perplexity completes most tasks in under 3 minutes (and we're working to make it even faster). Perplexity's Deep Research combines advanced web search, reasoning, and coding to iteratively search and refine analysis into clear, comprehensive reports. Conduct expert-level analysis across a range of complex subject matters including finance, marketing, health, and tech. We believe everyone deserves powerful research tools. That's why we're making Perplexity's Deep Research free for all. Try it now by selecting "Deep Research" from the mode selector in the search box. Read the full blog article here: https://lnkd.in/gWTUUxak

Bravo und endlich! Europa investiert 200 Mrd EURO in den Aufbau europaeischer AI-Infrastrukturen, die den Regeln des EU AI Acts entsprechen 👇 DAS ist die Antwort auf die Dynamiken der letzten Wochen und genau das ist die Art und Weise der Zusammenarbeit, die sich wichtig fuer unsere Wertegemeinschaft auf diesem Kontinent sind. "Wir wollen, dass Europa zu einem der fuehrenden KI-Kontinente wird. Und das bedeutet, einen Lebensstil zu pflegen, in dem KI allgegenwaertig ist." sagt Ursula von der Leyen im Rahmen des AI Action Summits in Paris und laesst mir dabei einen Stein, von der Groesse der Voralpen vom Herzen fallen. Die InvestAI-Initiative hat sich zum Ziel gesetzt, im KI-Bereich mit den USA und China mitzuhalten. Dafuer investiert sie in KI- Cluster, errichtet 12 KI-Hubs mit EuroHPC-Supercomputern und baut eine offene KI-Infrastruktur für Start-ups und Wissenschaftler auf. Tolle Nachrichten, die ich am kommenden Sonntag im Newsletter und Podcast noch einmal umfangreicher aufbereiten werde! 📌 Updates, Analysen und Einordnungen aus den Bereichen Tech, Mobilitaet, AI, Social Media & Nachhaltigkeit, gibt es in meinem woechentlichen Newsletter, den ihr hier 👉 https://t.ly/Abonnieren kostenlos abonnieren koennt!

After 20+ years of research in instructional design, I'm thrilled to announce Epiphany AI, which I've co-founded with Gianluca Mauro. Together, we're building the world's most powerful AI copilot for instructional design, combining deep pedagogical expertise with cutting-edge technology to transform how online, blended & in-person learning is designed. To learn more about our journey, follow us on LinkedIn at Epiphany AI & check out our website, where you can join the waitlist. Let's do this! Phil 🚀 https://lnkd.in/eH5MYvQW | 60 comments on LinkedIn

💡Anthropic has launched the Anthropic Economic Index to study the impact of AI on labor markets, using data from anonymized conversations on Claude.ai. (my favourable creative writing buddy). The initial report analyzes a million conversations to understand how AI is being used in real-world tasks. Key findings include: AI use is concentrated in software development and technical writing. About 36% of occupations see AI used in at least 25% of their tasks, while only 4% use it for over 75% of tasks. AI is used more for augmentation (enhancing human capabilities) than for automation (directly performing tasks). AI is most prevalent in mid-to-high wage occupations, like computer programming and data science. The study matched conversations with Claude to specific work-related tasks from the U.S. Department of Labor's O*NET database. They found the highest AI adoption in "computer and mathematical" roles, followed by "arts, design, sports, entertainment, and media". Occupations involving physical labor had the least AI representation. The report also found that AI use was low in both low-paying and very-high-paying jobs, with mid-to-high salary ranges showing the heaviest AI use. Overall, augmentation was slightly more common than automation. The study acknowledges limitations, such as uncertainty about whether Claude was used for work-related tasks and a focus on Claude.ai users only. Anthropic plans to regularly update the index with new data to track changes in AI's impact on the job market. They are also openly sharing the dataset used for the analysis and encourage feedback and suggestions for future research. Important to note: This usage patterns may vary for other AI Companions. Link is in the comments.

🎮 Willkommen zu einem spannenden Einblick in die Welt der Gamification und KI! In diesem Video entdecken wir Gandalf von Lakera, ein aufregendes Spiel, das ...

There are 93 behavior change techniques, but which ones could help you? I have been asked to create a self paced course on how I use these techniques, and how… | 33 comments on LinkedIn

𝐖𝐚𝐬 𝐢𝐬𝐭 𝐣𝐞𝐭𝐳𝐭 𝐞𝐢𝐠𝐞𝐧𝐭𝐥𝐢𝐜𝐡 𝐀𝐈 𝐋𝐢𝐭𝐞𝐫𝐚𝐜𝐲? Ich dachte mir, ich starte eine kleine Serie mit wissenschaftlichen Veröffentlichungen… | 15 comments on LinkedIn

Too many learning designers obsess over learning goals. But learning goals alone don’t drive results. A goal without a plan is a wish. A plan without habits… | 16 comments on LinkedIn

To be innovative, we can't look to what others have done. The whole idea of blazing a path is that there was no path there before. Simon shares the mindset that changed the way he thinks about creating change within organizations—the Law of Diffusion of Innovation. Video from EZRA Live and Unscripted, November 2024, in conversation with EZRA CEO Nick Goldberg + + + Simon is an unshakable optimist. He believes in a bright future and our ability to build it together. Described as “a visionary thinker with a rare intellect,” Simon has devoted his professional life to help advance a vision of the world that does not yet exist; a world in which the vast majority of people wake up every single morning inspired, feel safe wherever they are and end the day fulfilled by the work that they do. Simon is the author of multiple best-selling books including Start With Why, Leaders Eat Last, Together is Better, and The Infinite Game. + + + Website: http://simonsinek.com/ Live Online Classes: https://simonsinek.com/classes/ Podcast: http://apple.co/simonsinek Instagram: https://instagram.com/simonsinek/ Linkedin: https://linkedin.com/in/simonsinek/ Twitter: https://twitter.com/simonsinek Facebook: https://www.facebook.com/simonsinek Simon’s books: The Infinite Game: https://simonsinek.com/books/the-infinite-game/ Start With Why: https://simonsinek.com/books/start-with-why/ Find Your Why: https://simonsinek.com/books/find-your-why/ Leaders Eat Last: https://simonsinek.com/books/leaders-eat-last/ Together is Better: https://simonsinek.com/books/together-is-better/ + + + #SimonSinek

To help educators choose the best toolset for them, we compare the key features available in the free vs. paid tiers of some of the most popular Generative AI models.

In diesem Video teste ich zusammen mit David Röthler die Möglichkeiten des erweiterten Audiomodus von ChatGPT in einer Zoom-Videokonferenz. Von der Teilnahme...

🎮 Willkommen zu einem spannenden Einblick in die Welt der Gamification und KI! In diesem Video entdecken wir Gandalf von Lakera, ein aufregendes Spiel, das ...

In a recent paper in the Journal of Marketing Education, Dr. Chahna Gonsalves revisits Bloom’s Taxonomy to account for the evolving role of GenAI in education.… | 18 comments on LinkedIn

Pressespiegel 50 Jahre Grenzen des Wachstums, Dennis Meadows, Erster Bericht an den Club of Rome, 1972

How the "perpetually adaptive enterprise" leverages AI, technology, and workforce transformation to thrive amidst uncertainty and drive sustainable growth.

Agentic AI "systems of automation" will transform static business operations into dynamic, context-aware, autonomous systems.

All eyes on DeepSeek: Im KI-Bereich hat offenbar gerade eine Revolution stattgefunden 🤜. Für Hochschulen eine grandiose Nachricht. DeepSeek ist ein… | 29 comments on LinkedIn