- 19
- Episodes
- 2
- Ratings
- 2024
- First episode
About A Space To Think
Making complex ideas click. Curated personal notes exploring technology, finance, and useful mental models to get you thinking on the go.
- Publisher
- Curated by Brylan Donaldson
- Category
- science
- Language
- en
- Explicit
- No
- First episode
- 10 Jun 2024
- Latest episode
- 2 Jan 2025
Latest episodes
19 episodes in the feed.

2 Jan 2025
Learning to Read AI Research Papers: A Business Leader's Guide to Staying Ahead
The Gist: Ever since ChatGPT came onto the scene in November 2022, keeping up with AI advances has become essential for anyone running a business or making investment decisions. Understanding AI research might seem daunting, but with the right approach, anyone can develop this capability. The key lies in knowing where to look and how to extract meaningful insights efficiently. What Needs to be Understood: The Research Landscape: Most universities and companies freely share their AI discoveries. While some companies like OpenAI have become more private lately, most AI researchers still share their work openly. The Different Parts of a Research Paper: Abstract: This concise overview serves as your first filter, helping determine if the paper aligns with your interests. Introduction: Here you'll find the core problems being addressed, proposed solutions, and key contributions. This section often provides the clearest picture of the paper's significance. Methods: Focus on identifying novel concepts and approaches, even if you don't grasp all technical details initially. Related Works: These sections illuminate how researchers have historically approached problems and highlight emerging trends. Recent papers are particularly valuable for understanding current directions. Experiments: Concentrate on results that relate directly to your interests and business implications. Where to Find Papers: arXiv: (https://arxiv.org/list/cs.AI/recent) Think of this as the grand library of AI research. Almost every important AI paper ends up here. Papers with Code: (https://paperswithcode.com/) This is where you find papers that come with working examples – like recipes that include video demonstrations. Major Conferences: Major conferences like NeurIPS (https://neurips.cc/), ICML (https://icml.cc/), and ICLR (https://iclr.cc/) showcase cutting-edge research. Observations: How Research Spreads: Many researchers now announce their work on Twitter/X first. Following these researchers gives you an early peek at what's cooking. Smart Reading Approaches: Get the Big Picture: First, read the abstracts of several papers about your topic of interest and take notes. It's like learning about Italian cuisine by reading different Italian cookbooks – you start seeing common themes and approaches. Dive Deeper: Then pick the most relevant papers and study them carefully. Go through their introduction, methods, related works, and experiments. Don't worry if you only grasp 10-20% at first – that's normal and expected. Be Selective: You don't need to understand every detail. Focus on the parts that matter most to your business. Look at the Pictures: Charts and diagrams often explain ideas better than words – like how a good cookbook uses photos to show technique. Keep a Learning List: Write down terms and concepts you don't understand to learn about later. Join the Conversation: Find others interested in the same topics. It's like joining a book club – discussing papers helps everyone understand them better. Something to Think About: Making It Routine: How could you set aside regular time to read research papers, just as you might schedule time to read industry news? Your Interests: Which parts of AI development could most help or hurt your business? Let this guide what you read. Learning Together: Could you start a small group at work to discuss AI papers? Sometimes the best insights come from sharing perspectives. Taking Action: How will you turn what you learn from these papers into business decisions that matter?

31 Dec 2024
Agent Management: The Next Evolution of Work
The Gist: As Enterprise buyers pour $4.6 billion into generative AI applications (https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/), we're entering a time period where AI agents will become collaborative partners in our daily work. Rather than replacing humans entirely, this transition will transform many of us into agent managers - orchestrating a team of agents that can independently execute complex tasks while working alongside humans. What Needs to be Understood: Core Concepts: (https://huggingface.co/blog/Kseniase/agentsvocab) Environment: The space which an agent operate, whether physical (robots, drones) or digital (trading algorithms, game AI). Policy: Internal rules and learned behaviors that guide the agent’s decisions. Reward: Feedback (positive or negative) received by the agent, which informs its future actions. Autonomy: An agent’s ability to operate independently using sensors and actuators. Perception: An agent’s ability to gather data from their environments. Historical Foundation: The journey toward agentic AI began with Norbert Wiener's cybernetics work in the 1940s (https://direct.mit.edu/books/oa-monograph/4581/Cybernetics-or-Control-and-Communication-in-the), introducing self-regulating systems that could evolve through environmental interaction. This laid the groundwork for modern open-ended AI systems. Open-endedness in AI: (https://arxiv.org/pdf/2406.04268) Agents possess the ability to continually generate new and unpredictable behaviors, solutions, or outcomes without predefined limits. Unlike LLMs that operate like vending machines, agents work more like personal chefs - planning ahead, maintaining context, and adapting to changing conditions. Observations: Real-World Examples: NVIDIA's Voyager demonstrating autonomous learning in Minecraft (https://arxiv.org/pdf/2305.16291) Sakana’s AI Scientist's automated research capabilities (https://arxiv.org/pdf/2408.06292) Google's Gemini Deep Research Agent (https://blog.google/products/gemini/google-gemini-deep-research/) Windsurf IDE Agent (https://codeium.com/windsurf) Agent Development Considerations: Agent-computer interface: How should your agent communicate with computer systems? Consider whether your agent should use precise programming commands or more flexible text formats to interact with other software. This choice impacts both development complexity and system reliability. Human-agent interface: What should users see while the agent works? Determine which information helps users understand and trust what the agent is doing, similar to how a progress bar shows you the status of a download. LLM selection: Which AI model best follows instructions for your specific needs? Different models have varying abilities to understand and execute commands accurately, making this choice crucial for your agent's effectiveness. Tool use: What tools does your agent need access to? Just as a mechanic needs specific tools to fix a car, your agent needs the right digital tools to complete its tasks effectively. Environment understanding: Does your agent understand its working environment? Consider whether it needs to gather more information before taking action, similar to how a contractor surveys a site before beginning construction. Error awareness: Can your agent recognize and fix its mistakes? This capability is crucial for reliability and trust, much like how we value employees who can identify and correct their own errors. Planning: How does your agent approach planning? Evaluate whether it can break down complex tasks into manageable steps and create effective execution strategies. Task breakdown: Can your agent break down complex tasks into clear, manageable steps? Just as an effective project manager knows how to divide big projects into achievable milestones, your agent needs to understand how to sequence work logically. Exploration and search: Can your agent explore different approaches? Assess whether it can consider multiple solutions and choose the most effective one, rather than just taking the first available path. Evaluation methods: How do you verify your agent is meeting its goals? Establish clear methods to measure whether the agent is delivering the intended results and value for your organization.

29 Dec 2024
ETA: A Practical Approach to Business Ownership
The Gist With an estimated $72 trillion in business ownership transitioning in the coming years, Entrepreneurship Through Acquisition (ETA) presents a compelling path for aspiring entrepreneurs. What Needs to be Understood: Defining ETA: ETA is when you focus on acquiring and operating an existing, cash flowing business rather than launching a new venture from 0 to 1. Historical Context: The concept of the "search fund" formalized in 1984 by Harvard Business School's Irv Grousbeck (https://www.gsb.stanford.edu/experience/about/centers-institutes/ces/research/search-funds), offering a structured pathway for MBA graduates to identify, acquire, manage, and grow a privately held company. There Are Many Models Traditional Search Fund: This model involves raising capital from investors across two phases: initial funding for the search process and subsequent capital for the acquisition itself. Self-Funded Search: You’ll utilize your personal capital to finance the search for an acquisition target. This approach gives you control, freedom, and equity ownership but requires a higher degree of personal financial risk tolerance. Acquisition financing may still involve external debt or seller financing. Sponsored Search: You’ll partner with a single investment firm, typically a family office, which provides all necessary capital for both the search and the acquisition. Incubated Search: A relatively newer model where you’ll join an established incubator platform specializing in search fund investments. The ETA Process Phase 1: Search Fund Formation (2-4 months) For traditional models, this involves investor outreach, developing a compelling investment thesis, and securing initial capital commitments. Key Activities and Deliverables: Create Private Placement Memorandum (PPM) and investment thesis Network and pitch to potential investors Secure investor commitments Complete legal fund formation Phase 2: Opportunity Sourcing and Evaluation (1-24 months) A systematic process of identifying potential acquisition targets, conducting due diligence, and assessing their financial and operational viability. Key Activities and Deliverables: Build and execute systematic outreach strategy Screen opportunities against investment criteria Conduct preliminary due diligence Build relationships with business owners Phase 3: Transaction Financing and Closing (2-6 months) Securing the necessary financing for the acquisition, negotiating final terms, and completing the legal and administrative processes to finalize the deal. Key Activities and Deliverables: Negotiate and execute Letter of Intent (LOI) Complete comprehensive due diligence Secure transaction financing Execute purchase agreement and closing Phase 4: Business Operations (4-8 years) Assuming leadership and operational control of the acquired business, focusing on growth, efficiency improvements, and value creation. Key Activities and Deliverables: Execute owner transition and 100-day plan Build/strengthen management team Implement key strategic initiatives Establish effective board governance Phase 5: Exit Strategy (4-6 months) Executing a sale of the business to realize a return on investment for both the entrepreneur and investors (if applicable). Determine optimal exit timing and strategy Prepare business for sale Engage with potential buyers Execute final transaction Something to Think About: How much risk are you comfortable with? To what extent are you willing and able to deploy your own capital in pursuing an acquisition? What level of ownership is your target? How much day-to-day involvement do you want in the business you are seeking? What level of external support, mentorship, and infrastructure do you perceive as necessary for your success in this endeavor?

14 Dec 2024
Google's AI Bets: Beyond Search
Google's AI bets, including Waymo's autonomous transportation, Gemini's multimodal model, and Isomorphic Labs' drug discovery, showcase the company's vision to dominate the AI landscape beyond search.

12 Dec 2024
Coconut: The Next Leap in AI Reasoning
Researchers explore Coconut, a groundbreaking approach that enables Large Language Models to reason internally, boosting their efficiency and making them more independent thinkers.

11 Dec 2024
Navigating an Acquisition: Selling to a VC-Backed Company
VC-backed company experts, including CEO and venture capitalist, share insights on navigating strategic acquisitions, from growth potential to talent and market access.

11 Dec 2024
Sora: OpenAI Redefines Video Creation
OpenAI's Sora co-creator reveals how the AI-powered video generation tool is revolutionizing content creation, democratizing access, and raising profound questions about truth and reality.

6 Jul 2024
Living robot skin, roboforming revolution, and the gut-brain connection
🧭 In this episode of Questions, we answer: • How are robots being developed with living skin, and what are the implications? • What is roboforming, and how is it revolutionizing metal manufacturing? • How does the gut-brain connection work, and why is it important for our overall health? 🔗 Referenced: • Professor Takeuchi Shoji's Robotics Breakthrough: https://www.perplexity.ai/page/professor-takeuchi-shoji-s-rob-Om9dKV_6S26MUWj3Y9IOUg (https://www.perplexity.ai/page/professor-takeuchi-shoji-s-rob-Om9dKV_6S26MUWj3Y9IOUg) • What is the relationship between the gut and the brain: https://www.perplexity.ai/page/what-is-the-relationship-betwe-hBQaM44bStOhgm_1pLdvSg (https://www.perplexity.ai/page/what-is-the-relationship-betwe-hBQaM44bStOhgm_1pLdvSg) • New Robotic System to Displace a $280B industry: https://youtu.be/EDAR2GhlHGs 💌 Quick note: Founders should vet VCs as thoroughly as investors scrutinize startups. Many VCs are seeking the next AI breakthrough but lack deep understanding of the technology, what it takes to develop, or historical context. Angel investor Jeanine Suah raised similar concerns in a LinkedIn post worth reviewing: https://www.linkedin.com/feed/update/urn:li:activity:7214997232515731457/

3 Jul 2024
Etched Is Making The Biggest Bet In AI. Will It Matter?
🧭 In this episode of Will It Matter?, we unpack: • Etched's $120 million bet on a specialized AI chip designed exclusively for transformer models, promising 20x faster performance than current GPUs. • The potential disruption to the AI inference market, with a single Etched server potentially replacing 160 of Nvidia's top-tier H100 GPUs. • The environmental implications of AI hardware advancements, including energy consumption and water usage in data centers. 🔗 Referenced: • Etched is building an AI chip that only runs one type of model: https://techcrunch.com/2024/06/25/etched-is-building-an-ai-chip-that-only-runs-transformer-models/ (https://techcrunch.com/2024/06/25/etched-is-building-an-ai-chip-that-only-runs-transformer-models/) • Etched Is Making The Biggest Bet In AI: https://www.etched.com/announcing-etched (https://www.etched.com/announcing-etched) • My research: https://www.perplexity.ai/search/tell-me-more-about-etchs-new-c-SCDEClxHSXWRMDsy1ezLzA (https://www.perplexity.ai/search/tell-me-more-about-etchs-new-c-SCDEClxHSXWRMDsy1ezLzA) 💌 Quick note: As a founder being understood is more important than sounding smart. It enables your customers and investors to evangelize your product.

1 Jul 2024
AI Designs New Proteins, Unlimited Clean Energy, and Robots That Learn Like Humans
🧭 In this episode of Sparks and Signals, we explore: • A frontier language model for biology that can design new proteins from scratch, simulating 500 million years of evolution. • The untapped potential of geothermal energy and innovative techniques to harness it for clean, abundant power. • A humanoid robot system called HumanPlus that learns complex tasks by observing and imitating human movements. 🔗 Referenced: • Simulating 500 million years of evolution with a language model: https://www.evolutionaryscale.ai/blog/esm3-release (https://www.evolutionaryscale.ai/blog/esm3-release) • The Untapped Potential of Geothermal Energy: https://www.contrary.com/foundations-and-frontiers/geothermal (https://www.contrary.com/foundations-and-frontiers/geothermal) • Humanoid Shadowing and Imitation from Humans: https://humanoid-ai.github.io/ (https://humanoid-ai.github.io/) 💌 Quick note: Recently I’ve been thinking more about the $84 trillion in wealth that will transfer from baby boomers to younger generations, and the exciting technological breakthroughs we’re achieving everyday. Needless to say, the next 20 years will be exciting if you know where to look and what to apply.

29 Jun 2024
Next-gen nuclear reactors, electronic skin breakthroughs, and unlocking AI's latent expertise
🧭 In this episode of Questions, we answer: • What is the current state of nuclear reactors in the US, and how might next-gen technologies change the landscape? • How does electronic skin work, and what potential applications does it have in healthcare and robotics? • What are Ethan Mollick's latest thoughts on integrating AI in organizations, and why does he emphasize "latent expertise"? 🔗 Referenced: • Congress votes to advance nuclear energy development in the US: https://www.theverge.com/2024/6/19/24181808/congress-pass-nuclear-energy-bill-biden-signature (https://www.theverge.com/2024/6/19/24181808/congress-pass-nuclear-energy-bill-biden-signature) • World’s first 3D e-skin gives robots human-like touching sense: https://interestingengineering.com/innovation/human-like-electronic-skin-robots (https://interestingengineering.com/innovation/human-like-electronic-skin-robots) • Latent Expertise: Everyone is in R&D: https://substack.com/home/post/p-145247063?source=queue (https://substack.com/home/post/p-145247063?source=queue) 💌 Quick note: How you feel about things often depends on what you expect.

27 Jun 2024
New AI Project Aims to Mimic the Human Neocortex. Will It Matter?
🧭 In this episode of Will It Matter?, we unpack: • Jeff Hawkins' Thousand Brains Project and its ambitious goal to revolutionize AI by mimicking the human brain's neocortex. • The potential of this neuromorphic approach to create more efficient, adaptable, and human-like AI systems for various applications. • The debate surrounding the project's feasibility, its impact on the future of AI, and whether it's a paradigm shift or a neuroscience-inspired mirage. 🔗 Referenced: • New AI Project Aims to Mimic the Human Neocortex: https://spectrum.ieee.org/jeff-hawkins (https://spectrum.ieee.org/jeff-hawkins) • How the Brain Works: The Thousand Brains Theory of Intelligence: https://youtu.be/LaAYuygr7_8 • My research: https://www.perplexity.ai/search/Tell-me-more-QukNJggITaSG8jMB7spggQ (https://www.perplexity.ai/search/Tell-me-more-QukNJggITaSG8jMB7spggQ) 💌 Quick note: The boldness of your ideas is a reflection of you. Be bold.

25 Jun 2024
Reviving frozen brains, AI politicians, and robotic war dogs
🧭 In this episode of Sparks and Signals, we explore: • A groundbreaking technique to revive frozen human brain tissue without damage using the MEDY solution. • An unconventional mayoral campaign in Wyoming featuring an AI chatbot as a virtual running mate. • China's showcase of an armed robotic dog during joint military exercises with Cambodia. 🔗 Referenced: • New technique brings frozen brain tissue back to life without harm: https://interestingengineering.com/health/frozen-brain-tissue-revived (https://interestingengineering.com/health/frozen-brain-tissue-revived) • An AI Bot Is (Sort of) Running for Mayor in Wyoming: https://www.wired.com/story/ai-bot-running-for-mayor-wyoming/ (https://www.wired.com/story/ai-bot-running-for-mayor-wyoming/) • Meet the Chinese army’s latest weapon: https://www.theguardian.com/science/article/2024/may/30/chinese-armys-latest-weapon-gun-toting-dog (https://www.theguardian.com/science/article/2024/may/30/chinese-armys-latest-weapon-gun-toting-dog) 💌 Quick note: The future is here, it’s just not evenly distributed: https://x.com/runews/status/1804603834792042850 (https://x.com/runews/status/1804603834792042850)

21 Jun 2024
Data centers powering AI, the truth about heart disease, and the silicon wizardry behind GPUs
🧭 In this episode of Questions, we answer: • How do you build a data center, and why are they crucial for the future of AI? • What is often misunderstood about heart disease, and how can you reduce your risk? • What is the supply chain of GPUs, and why are they the engines of innovation? 🔗 Referenced: • How to Build an AI Data Center: https://substack.com/home/post/p-145504549?source=queue • To Understand Heart Disease, You Need To Understand This: https://substack.com/home/post/p-145022894?source=queue • Blank wafer suppliers are not totally blank: https://substack.com/home/post/p-145247063?source=queue (https://substack.com/home/post/p-145247063?source=queue) 💌 Quick note: Sharing a good mental model to study history to better understand the future from OpenAI’s Hyung Won Chung’s recent Stanford lecture. • Identify the dominant driving forces behind the change • Understand the dominant forces • Predict the future trajectory

19 Jun 2024
Cradle Is Pursuing Reviving Frozen Bodies. Will It Matter?
🧭 In this episode of Will It Matter?, we unpack: • Cradle Healthcare's groundbreaking work on reversible cryopreservation, aiming to freeze terminally ill patients for revival in a future when cures exist. • The potential impact of this technology on extending human life and grappling with mortality itself. • The immense technical challenges and ethical quandaries that stand in the way of making reversible human cryopreservation a reality. 🔗 Referenced: • Startup Brings New Hope to the Pursuit of Reviving Frozen Bodies: https://archive.is/sUBtD (https://archive.is/sUBtD) • My research: https://www.perplexity.ai/search/Tell-me-more-jEEStcjqTBivIN4pFU2yWQ (https://www.perplexity.ai/search/Tell-me-more-jEEStcjqTBivIN4pFU2yWQ) 💌 Quick note: It’s turning out many of those different chemistry and physics concepts we were taught in high school can be put to good use in the real world. Prime example is the application of the states of matter and thermodynamics when it comes to freezing biological things. Another example of cryopreservation that I had heard of but knew little about the actual experience is women freezing their eggs. I found this video from Cleo Adams to be insightful: https://youtu.be/98R8ObXlR1E

17 Jun 2024
Mind-controlled bionic arms, inequality's moral toll, and simulating social intelligence in AI
🧭 In this episode of Sparks and Signals, we explore: • Atom Limbs' groundbreaking mind-controlled bionic arm that restores touch and dexterity. • How rising inequality erodes our moral compass by undermining perceived control and social mobility. • SOTOPIA, a platform for training and evaluating socially intelligent AI agents in complex interactions. 🔗 Referenced: • Atom Limbs Research: https://www.perplexity.ai/page/Tell-Me-About-uM.6QceTRYCJZgqcrYd2wg • How the Inequality Around Us Shapes Our Perception of Morality: https://insight.kellogg.northwestern.edu/article/how-the-inequality-around-us-shapes-our-perceptions-of-morality • SOTOPIA: Interactive Evaluation For Social Intelligence In Language Agents: https://openreview.net/pdf?id=mM7VurbA4r (https://openreview.net/pdf?id=mM7VurbA4r) 💌 Quick note: There’s so much to be optimistic about in the future if you know where to look.

14 Jun 2024
Understanding the Rubin Observatory, universe 25 experiment, and the quantum internet
🧭 In this episode of Questions, we answer: • What is the Rubin Observatory, and how will it revolutionize our understanding of the universe? • What is the Universe 25 Experiment, and what did it reveal about population dynamics? • What is the quantum internet and why should Washington care about its development? 🔗 Referenced: • Rubin Observatory research: https://www.perplexity.ai/page/What-Is-the-cB.YojkFR7Ck7Y9yqV7FaQ (https://www.perplexity.ai/page/What-Is-the-cB.YojkFR7Ck7Y9yqV7FaQ) • A series of rodent experiments showed that even with abundant food and water, personal space is essential to prevent societal collapse, but Universe 25's relevance to humans remains disputed: https://www.the-scientist.com/universe-25-experiment-69941 (https://www.the-scientist.com/universe-25-experiment-69941) • Quantum internet research: https://www.perplexity.ai/page/What-Is-the-baM7Rv3HQ7e_fjkhrogSdw (https://www.perplexity.ai/page/What-Is-the-baM7Rv3HQ7e_fjkhrogSdw) 💌 Quick note: On my flight to Mexico I caught up on my favorite podcasts. One I had been looking forward to is Moonshots by Peter Diamandis. He recently sat down with quantum physicist, Gill Verdon, who is also the founder of Extropic — a company creating AI computer chips as energy efficient as the human brain. Needless to say, the episode was packed with paradigm shifting ideas from the past, present, and future: https://open.spotify.com/episode/07VpKiokh5VcaRA6FtN9RR

12 Jun 2024
Chinese scientists cured diabetes. Will it matter?
🧭 In this episode of Will It Matter?, we unpack: • The recent cure Chinese scientists developed for diabetes. • What will its impact be? • What are the challenges it will face? 🔗 Referenced: • Chinese scientists develop cure for diabetes, insulin patient becomes medicine-free in just 3 months: https://economictimes.indiatimes.com/industry/healthcare/biotech/healthcare/chinese-scientists-develop-cure-for-diabetes-insulin-patient-becomes-medicine-free-in-just-3-months/articleshow/110466659.cms (https://economictimes.indiatimes.com/industry/healthcare/biotech/healthcare/chinese-scientists-develop-cure-for-diabetes-insulin-patient-becomes-medicine-free-in-just-3-months/articleshow/110466659.cms) • My research: https://www.perplexity.ai/search/Tell-me-more-jEEStcjqTBivIN4pFU2yWQ (https://www.perplexity.ai/search/Tell-me-more-jEEStcjqTBivIN4pFU2yWQ) 💌 Quick note: Diabetes has been top of mind for me because it has impacted those around me, so when I heard the news the optimist in me was overly excited. However, it was quickly dampened when I remembered just a few months ago a similar breakthrough was achieved with CRISPR and sickle cell treatment, but the challenge was going to be scaling it and cost. We’ll have to see. What did you takeaway from the discussion? Do you think it will matter?

10 Jun 2024
AGI timelines, placing organs on computer chips, and 76% decrease in GenAI funding
🧭 In this episode of Sparks and Signals, we explore: • Former OpenAI researcher Leopold Aschenbrenner's provocative predictions about the rapid emergence of AGI and superintelligence. • How organ-on-a-chip technology is revolutionizing biomedical research. • The latest trends in generative AI venture capital dealmaking. 🔗 Referenced: • SITUATIONAL AWARENESS: The Decade Ahead: https://situational-awareness.ai/ (https://situational-awareness.ai/) • Organ-on-a-Chip Technology: https://www.perplexity.ai/page/OrganonaChip-Technology-e_8Ru2_8RYSSD_X4bfOpEw (https://www.perplexity.ai/page/OrganonaChip-Technology-e_8Ru2_8RYSSD_X4bfOpEw) • Generative AI seed funding drops 76% as investors take wait-and-see approach: https://pitchbook.com/news/articles/generative-ai-seed-funding-drops (https://pitchbook.com/news/articles/generative-ai-seed-funding-drops) 💌 Quick note: What’s good curious people, I hope all is prosperous. It has been awhile since you’ve heard from me, I’ve been well — still learning, playing, and creating. Speaking of creating, those close to me know I’ve been talking about starting a podcast for “A Space To Think” so you all can enjoy the insights on the go. I finally got around to it, and created AI agents to assist me with my research, script writing, and audio production. I increasingly believe we’ll all have our own AI agents working for us one day. You should too. Moving forward each segment of “A Space To Think” will be podcast first and be complimented with a deck of takeaways. I’ll still reference the sources so you can dig deeper yourself. I hope you enjoy. Don’t forget to like, share, and subscribe if you haven’t. With gratitude, Brylan
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