You can create AI illustrations, posters and video avatars on your own computer - without monthly AI subscriptions. That’s how I generated this video, with a mere 8Gb of VRAM. If you run an agency, this isn’t just about saving a few euros on software. It’s about how much of every project fee you actually keep. Local AI isn’t flawless today. Some results need refining. Others go straight in the bin. The value is in that you can try again. Change direction. Explore another idea. Without watching a paid credit balance disappear. Today, the value isn’t in flawless execution. It’s in the freedom to keep iterating. Tomorrow? Both. Learn the technology today. Master it tomorrow. Want to learn how to put local AI to practical use? Comment below and follow me for more.

It's been a while since I posted here anything. I generated my first local AI video and thought I could share it here. Create AI images, talking avatars and videos on your own computer - without monthly AI generation subscriptions. This short showcase features locally generated illustrations, posters with readable text, lip-synced avatars and a portrait brought to life. I’m Victor A. Lausas, founder of NORAI Academy. The examples in the video were generated on my home desktop with a mere 8Gb of VRAM. Want to learn how to build your own local AI creative workflow? Comment below and follow, subs etc for upcoming videos. Video on YouTube: https://www.youtube.com/watch?v=h9caaP9pqNU

I'm curious, are there any other out-of-the-box GDPR, EU AI Act & HIPAA-compliant chatbots on the market currently? Comment below! 👇

If you believe the headlines, European AI and Europe are on the brink of an AI breakthrough. Every week, there’s another press release about a “European champion” – Mistral AI in France, Aleph Alpha in Germany, Silo AI in Finland, the latest pan-European initiative. Add in German Telekom partnering with NVIDIA, Norwegian OpenAI infrastructure build, and it all looks like we are catching up with the US giants. But the European boardroom question looms large: Are we really building independent, sovereign and SECURE European AI, or just rebranding imported technology and feeding our company secrets to intelligence services and calling it progress? Let’s cut through the marketing, the regulatory fanfare, and the unicorn hype to get to the facts that actually matter for Europe’s future. 𝔼𝕦𝕣𝕠𝕡𝕖'𝕤 "ℕ𝕒𝕥𝕚𝕠𝕟𝕒𝕝 ℂ𝕙𝕒𝕞𝕡𝕚𝕠𝕟𝕤" - 𝕆𝕣 ℕ𝕒𝕥𝕚𝕠𝕟𝕒𝕝 ℍ𝕠𝕤𝕥𝕒𝕘𝕖𝕤? Let’s start with the reality behind the leading names: - Mistral AI (France): The poster child for French AI innovation, with strong government backing and big funding rounds. - Aleph Alpha (Germany): Promoted as the German alternative to OpenAI, focused on explainable, enterprise-ready LLMs. - Silo AI (Finland): Now positioning itself as Europe’s largest private AI lab, recently going all-in with AMD for its compute stack. - German Telekom + NVIDIA: Germany’s “sovereign” AI cloud partnership, meant to offer European businesses an alternative to the US Big Tech clouds. On the surface, these all sound pretty good, and they sound like real progress. But a closer look exposes a much more complicated, and, for the cautious board member, a worrying landscape. 𝕋𝕙𝕖 𝕀𝕟𝕥𝕖𝕝𝕝𝕚𝕘𝕖𝕟𝕔𝕖 𝕃𝕒𝕨 ℙ𝕣𝕠𝕓𝕝𝕖𝕞: 𝕎𝕙𝕠 ℝ𝕖𝕒𝕝𝕝𝕪 𝕆𝕨𝕟𝕤 "𝕊𝕠𝕧𝕖𝕣𝕖𝕚𝕘𝕟𝕥𝕪"? Few outside the deep compliance and infosec world are talking openly about this: Any European AI company headquartered in France or Germany is directly subject to local intelligence and surveillance laws. - In France, the Intelligence Act (“Loi Renseignement”) gives state agencies sweeping powers to require data access from local tech companies, even in the name of “national security” (see itnews). - In Germany, the new Federal Intelligence Service Act (BND law, as amended in 2022) also mandates cooperation and data sharing with the intelligence agencies when required, allowing state trojans and telephone hacking, among other “perks”, completely without cause (see freiheitsrechte).

Hallucinations are a predictable byproduct of the way models are tested and rewarded during training. Models guess rather than admit uncertainty because testing in training rewards accuracy - not honesty. This report is a milestone because it shifts hallucinations from a mystical flaw that's something inevitable and poorly understood to a solvable engineering problem. It means LLMs can be trained to say "I don’t know", if, and only if, we reward them for it. Now that we know why, 𝘸𝘦 𝘤𝘢𝘯 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘥𝘰 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨 𝘢𝘣𝘰𝘶𝘵 𝘪𝘵. https://cdn.openai.com/pdf/d04913be-3f6f-4d2b-b283-ff432ef4aaa5/why-language-models-hallucinate.pdf