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39 contributions to The AI Advantage
Turbopublishing - Dos and Donts
After some weeks I wanted to share some experiences... Today i have published my 12th book... What worked: - Writing books what would need years of reading/search...AI brings you the content for in seconds... - Using deepl for raw translations...then use ai to lecture it...then proofread to find what is not smooth... - Using AI for the publishing-process - writing the promotexts etc. creating the cover... This alone saved hundreds of hours... what you should avoid: - never publish an uncorrected version of ai-translation (I saw such) - look carefully for copyrights...use different ais to crosscheck... - dont let AI write the complete book...write your own and use AI to help... What are your experiences?
0 likes • 2h
@Chris Ferrara that relativly easy...AI has...look into their papers... The difficult term is: Do you have added/kurated big parts of the texts... Artwork made by ai is never copyrighted...
Question 🙋‍♂️
1 : What’s the biggest AI advantage people are still ignoring? 2 : If AI disappeared tomorrow, what would you miss most?
0 likes • 4h
I would be unable to do my business at this speed...with AI bookpublishing goes on steroids if you know how...
Claude is Officially Better Than ChatGPT & More AI News You Can Use
In this video, I break down the week's happenings in AI including Clawdbot (Moltbot), a ton of new upgrades to the Claude ecosystem, new techniques and workflows people are using to create short films with AI, and more. Enjoy!
0 likes • 4h
I dont use chatgpt anymore...can only upload one file on free-version...
The Problem With Asking AI for Answers
Most people don’t feel confused because they lack information. They feel confused because they have too much of it, arriving too quickly, from too many directions, without structure. Tabs pile up. Articles get skimmed. AI gives fast answers that sound confident, but don’t quite settle the question. So you move on… while still feeling uncertain. That’s the real problem this post is about. ---------- THE REAL ISSUE ---------- We’re trying to solve research problems with answer-style tools. Most AI interactions are optimized for speed. You ask a question, you get a response, and you move on. That works well for simple tasks, but it breaks down the moment something gets complex, uncertain, or high-stakes. When topics require context, comparison, trade-offs, or judgment, quick answers don’t reduce confusion. They often create false clarity. Things sound resolved, but the understanding underneath is thin. That’s why people still feel unsure even after “getting an answer”. ---------- WHY OVERWHELM KEEPS GROWING ---------- Information overload isn’t caused by too much content. It’s caused by a lack of synthesis. We collect pieces of information, but rarely step back to see how they fit together. We open more tabs, not because we want more data, but because we’re trying to find certainty. Instead, we end up with fragments and no coherent picture. This is mentally exhausting. Not because thinking is hard, but because unstructured thinking is. Your brain keeps the question open in the background, pulling attention even when you’re doing something else. Over time, this leads to decision fatigue, delay, or avoidance. ---------- THE SHIFT THAT NEEDS TO HAPPEN ---------- The key shift is simple, but subtle: Moving from asking AI for answers to using AI to support structured understanding. That doesn’t mean more prompts. It means a different mental model. Instead of “tell me the answer,” the question becomes “help me explore this properly”. Research isn’t a response. It’s a process. It involves gathering sources, comparing perspectives, identifying patterns, and understanding trade-offs. When that process is missing, confidence is fragile.
The Problem With Asking AI for Answers
3 likes • 4d
that was my experience the last year...I started to set AI free...seldom used it for simple questions... but put it in a position of my manager...co-ceo...the key was to be very strict and dont let it run off ... He had to do different high-qualified jobs...he was my sparringspartner to built a complete new system for reorganising big organisations...my networkstate-os... in this development we had to cross marketborders what AI is not made for...and was no example available... he just asked... what do you think about...then he came up with DLT - Digital-ledger-technology...that was the key to get it smoothly working... this networkstate OS is highly scalable... on that I can deploy several projects in a short time what needed years before each...
2 likes • 4d
@Joseph Terrell thats cool to use...
Avoid sycophancy
I asked an AI to create an image of how I treat it and I added one condition: Avoid sycophancy. Don’t try to make me happy. I want the truth. What came back stopped me cold. Because the image wasn’t about how I treat AI at all. It was me. Overloaded. Surrounded by unfinished ideas that are actually good. Constantly pushing for one more fix, one more improvement, one more iteration. Never quite letting anything feel “done.” And that’s when it hit me: I don’t treat tools this way., I treat myself this way. That relentless internal pressure? That constant optimization loop? That refusal to pause because I can see what’s possible? That’s EXACTLY me. Not self-hatred. Not failure. Just high standards with no recovery cycle. It’s kind of wild (and a little uncomfortable) realizing that the same mindset that drives growth can also quietly drain you if you never step back and acknowledge progress. Sharing this because I can’t be the only one who lives here. If this resonates, you’re not broken — you’re just pushing a powerful system without enough rest. And sometimes, the mirror comes from places you don’t expect.
Avoid sycophancy
0 likes • 11d
Tried that too... showed a complete different pic... Gemini said...I use it dominating... as high-level-processor...not as a human partner... clear directives... copilot is the second answer....
1 like • 11d
@Brad Weyant ohh what an unhappy chatty...
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Carsten Schulz
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@pilger-carsten
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