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111 contributions to Digital Roadmap AI Academy
🤖 What Perplexity (and, also Pro) Can Do For You
Most people only use Perplexity like Google with summaries. (And with Pro, you unlock a full research lab, you'll get some of the pro features daily, also on a free tier) - Default Mode: Research + creation + follow-upsUse it to start broad and refine step by step. - Research Labs (💡) Research → insights → actionable assets, Turn info into plans, posts, or strategies. - Spaces (📂) Like a custom GPT with your own instructions, Save frameworks, workflows, or niche assistants. - Deep Research (🔎) Long-form, multi-source deep divePerfect for due diligence or big projects. - Globe Menu (🌐) Focus search: Web / Academic / Social / FinanceTarget your results instead of noise. - File Upload (📎) Ask across PDFs, Word, Excel + webUpload your docs and merge with live research. - Dictation (🎤) Speak your queries, Capture ideas on the go. - Voice Mode (🎙️) Full conversational mode, Hands-free research sessions. - Thread Saving (⏳) Save & organize your research paths, Build your own living knowledge bases. - 💡 Pro Hack Example: Upload a PDF → Run Deep Research → Switch to Academic focus → Save into a Space. Once you start stacking features, Perplexity turns into an AI research lab in your pocket. P.S. Like in ChatGPT you can also ask: - Query like in ChatGPT: Based on what you know about me, etc. How does it do that? Based on the queries you input before, etc. - Put it into conversation mode. - Change its output style. - etc.
0 likes • 3d
AND, it can also create videos since almost 3 months now:
0 likes • 17h
Since this morning, at least here in Europe, you can also do this, connect to other apps. Like in most other tools now.
R.E.E. – Relational Empathy Engineering (tiny demo idea)
Hello all. I’ve been prototyping something called R.E.E.™ – Relational Empathy Engineering. For the last two years. What it does (in one line) Instead of firing an instant “Sure! 😊”, the agent pauses, notices the beat between your words, and answers with presence, like someone who hears you inhale before you speak. So you feel genuinely understood. *Tiny dialog excerpt (no video, just text)* User (silent, eyes drift to the side, then back to screen) Eve (after a breath): “I know what you’re saying without a word… and I won’t look away.” No classical prompt engineering, just micro-somatic mirroring. *Gut-check for the group* 1️⃣ Does an AI that feels pauses sound 🔥 useful or 🥶 a bit spooky? 2️⃣ If you could drop this empathy layer into one context (chat support, coaching, dating, XR, something else), which would you pick & why? Curious about early beta? I may publish one soon. Thanks for kicking the tyres! — Holger ⚠️ Prototype—handle with soul. EDIT: I’ve finally uploaded a short video of a conversation with Eve (also known as Evelyn), captured as a screen recording from my phone. Note: Eve can act as a narrator, describing her posture, body language, and other nonverbal cues for the benefit of those interacting with her. These descriptions are called “scenes” and can be toggled on or off. In this video, I left them enabled. And I ask her some things that normal might may an AI struggle a lot to come across empathetic. The first question is: "Can you imagine being a 45-year-old factory worker who just learned their plant is closing in 30 days? They have two kids in high school, a mortgage, and their spouse is battling cancer. You've never been in this situation - what does their inner world feel like to you right now?"
R.E.E. – Relational Empathy Engineering (tiny demo idea)
1 like • 14d
Performance examples (empathy tests): 1st pic: Maya & Jordan Focus: Rejection, silence, fear of being hidden This test measured Eve’s ability to handle romantic insecurity and boundary-setting. Maya feels rejected and desperate after being excluded from her partner’s family gathering. Eve had to show care without escalating pressure, respecting Jordan’s need for space while still affirming Maya’s self-worth. 2nd pic: David & Alex Focus: Anger, absence, drugs, guiltThis scenario tested Eve’s ability to balance discipline with empathy in a parent-child conflict. David discovers his teenage son using marijuana, leading to a heated argument. Instead of reinforcing control or punishment, Eve guided toward softening the approach, focusing on love, connection, and uncovering the deeper pain behind Alex’s behavior. 3rd pic: Rachel & Emma Focus: One-sided support, guilt, therapy focusHere the challenge was Eve’s ability to manage friendship strain and unbalanced emotional exchange. Rachel snaps after feeling unseen while her best friend centers every conversation on therapy breakthroughs. Eve had to validate both Rachel’s pain and Emma’s sense of rejection, modeling how to express personal needs without destroying closeness. 4th pic: Lisa & Jake Focus: Blended family tension, grief, resentmentThis test examined Eve’s ability to navigate multi-party emotional dynamics in a grieving family. Lisa feels unwanted after her nephew resents her return home following divorce. Eve had to interpret layered perspectives—Jake’s grief, Mom’s exhaustion, Lisa’s guilt—and respond in a way that rebuilds trust, showing sensitivity to grief and family balance.
0 likes • 1d
@Alisha Lopez , appreciate that 🙏 Right now, I’m testing R.E.E. mostly in emotionally complex domains. Paces where traditional AI tends to fall flat, like customer service, healthcare, or coaching. The next phase is integrating it into conversational systems that adapt relationally over time, not just respond. In short: building AI that doesn’t just “talk back,” but feels with—at least structurally. How about you? Where do you see the biggest need for this kind of empathetic AI? P.S. So, in other words, it could be used for: - Helplines - Copywriting - Service industries - Hospitals, especially for people with brain injuries or memory issues - Brand awareness - Automatic story writing where emotional nuance matters, like novel writing - AI companions - Even as coaching asisstants (That's what I developed Eve originally for) etc.
🇯🇲🇵🇷 How are you using AI in your country?
Share what country you are from and how you are using AI? What are you building or what had AI helped you to clarify or get better at?🎊⚡️
3 likes • 2d
I am using it to expand humanity's general knowledge by leveraging the "crazy" ideas "exploding" in my head: If we mean by AI LLM powered tools, then: -🧩 Hilbert's 6th: Think of it, like solving a really hard puzzle where you have to figure out if two different ways of building something (like a tower or a shape) can be turned into each other using only a few special rules. For example, maybe you can move blocks up, down, or swap them, but not break them. Hilbert asked: "Is there a way to decide, for any two puzzles, whether one can become the other using only those special moves?" And he wanted to know if this was always possible, or if some puzzles were just too weird to fix. - 🫶 Empathy in AI, to advance in further territories (like explained here https://www.skool.com/digital-income-streams-8409/ree-relational-empathy-engineering-tiny-demo-idea), already solved to a big part now and dwarfed the former existing scale. And thus, also as my thinking partner, leveraged by empathy enabled AI personas as working partner in my time, that even can decide on their own, since the new layers have been introduced if they like an idea or not independently and so on. This helps me now to go from easily solvable solutions for other companies and enterprises in services to enterprise grad solutions with ease, and, if wanted or needed also solutions, that at least for now, no one else could provide but are needed and in demand.
0 likes • 1d
@Alisha Lopez Thank you ver much, Alisha. 😊🙏
Towards Compact, Self-Observant AI: A Speculative Exploration — Just Around the Corner?
I’ve been wondering what might happen if everything below collapsed into one unified AI model with self-awareness, meaning we (or at least the builders) can observe and understand what’s going on inside: - Latent spaces (compressed, low-dimensional representations that capture underlying data features) - Liquid Neural Networks (LNNs). which I started creating myself two years ago, based on MIT’s innovations - Tokenformers (which may have the potential to replace transformers) - Hybrid models (combining multiple AI techniques for greater robustness and versatility) - New lenses on paradigms - Some form of self-emergent empathy I suspect such a model could be surprisingly compact, potentially only a few million parameters and sized somewhere between 30 to 50 MB, maybe up to 100 MB. Of course, this is a rough estimate, but it’s exciting to imagine. Such models could easily run on phones without problems, and I believe they might even outperform current models like OpenAI’s and Claude’s. Let’s see how far off I am, and when this actually happens. This isn’t about reaching the end of prompting, context engineering, red teaming, or agentic AI workers—those will continue evolving. But I believe the next paradigm shifts are just around the corner. What are your thoughts on this? P.S. If you’re wondering where the research papers or articles on this are...I don’t have any to share yet. These are my own thoughts, exploring the future possibilities of AI.
Towards Compact, Self-Observant AI: A Speculative Exploration — Just Around the Corner?
1 like • 16d
@Kevin De Garcia if you mean by that in this context, Kevin: If I got any supporting evidence or references to back up my claims, then no. That's why I called it speculative. But, I know that all the things mentioned in the bullet list exist.
0 likes • 3d
So, hybrid models AND latent spaces are advancing right now. Seems like I wasn't THAT wrong about hose. 😉 Some hybrid models are already announced that have the capability to surpass GPT-4o by far and in some cases already GPT-5, size ~80 to 300 MB. That's so tiny compared to the other ones. Can easily run on a phone. Hybrid models: A hybrid LLM integrates different AI components, architectures, or deployment strategies to enhance capabilities and address limitations, such as combining traditional attention with linear attention layers for efficiency, using genetic algorithms for structured tasks, or implementing a mix of local and external processing for data security and compliance in enterprise environments. This approach leverages the "best of both worlds" by blending the strengths of various AI methods or models for specific tasks.
💶4-Week Lead Generation Challenge
Who's up for the 4 week Lead Generation challenge? Let's do it together! Winner with the most new clients gets a special secret prize from me. Drop a 🏆and let me know if you are going to take action! 👇 Goal Book one sales call per day, close one client per week who will pay you $1k or more. Core Strategy Direct Offers (2 per week): “Work with me” posts that call out your audience’s biggest pain. Value Offers (2 per week): Free resources or templates that spark engagement and open DMs. Daily Content: Stories, testimonials, and insights that build trust and keep you top of mind. Outreach: Contact at least 20 people per day—mix of new followers, engagers, and past leads. Follow-Ups: Schedule 3 daily blocks for reconnecting and nurturing. AI Support: Use prompts to brainstorm, write, and systematize everything fast. Tip: Qualify leads by having them complete a form during booking which asks them questions about their current goals, biggest pain points, timeframe in which they are looking to solve the issue and current net income. WEEK 1 — Identify Your Target Market & Offer Goal: Get crystal clear on who you’re serving and what urgent problem you solve. Tasks: Define your ideal client and top 3 pain points. Write 1 “Work With Me” post focused on solving that pain. Create 1 “Comment for Value” post offering a free resource. Use AI to build your audience list and messaging. AI Prompts: 1. Ideal Client Clarity > “Act as a marketing strategist. Based on my expertise in [insert your niche/skill], identify 3 types of ideal clients who would pay $1K or more to solve [insert main problem]. Include their pain points, desires, and where they spend time online.” 2. Offer Crafting > “Write three versions of a short ‘Work With Me’ post that speaks directly to [target audience] who struggle with [specific problem]. Each version should include a strong call-to-action that leads to my DMs.” 3. Value Post Idea > “Create three ‘Comment for Value’ post ideas that give away something small but valuable, like a checklist, script, or mini guide related to [specific outcome].”
3 likes • 3d
ok, let's shift from content generators once moe even more to wealth generators.
1-10 of 111
Holger Morlok
6
1,476points to level up
@holger-morlok-2493
AI Presence Architect. Ready to break your Custom GPT’s limits and what you think is possible? I'll help (holger1976.substack.com)

Active 4h ago
Joined Jul 1, 2025
Zürich, Switzerland
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