Penn State astronomer Jason Wright discusses Dyson sphere detection, why building one in 50 years is physically impossible, and the search for alien technosignatures across 100,000 galaxies.
Bio:
Jason T. Wright is a professor of astronomy and astrophysics at Penn State University and director of the Penn State Extraterrestrial Intelligence (PSETI) Center . His research focuses on the search for alien technosignatures – especially the telltale waste heat from hypothetical Dyson spheres (megastructures built around stars to capture their energy). Wright led pioneering surveys using NASA’s WISE space telescope to hunt for mid-infrared excess emission from Dyson sphere-like structures . He is also known for his work on peculiar astronomical objects such as “Tabby’s Star,” helping show its strange dimming was due to dust rather than an “alien megastructure” . In addition to SETI, Wright studies exoplanets and stellar astrophysics, and he has been a vocal advocate for integrating technosignature searches into mainstream astronomy .
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FOLLOW ON X:
@8teAPi (Ate)
@Astro_Wright (Jason)
@TurpentineMedia
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LINKS:
Website:
https://sites.psu.edu/astrowright/
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TIMESTAMPS:
(00:00) Intro
(03:26) What is a Dyson Sphere? Freeman Dyson's Original Concept
(04:59) Detecting Dyson Spheres Through Infrared Emissions
(07:00) WISE Satellite Survey Results: 100,000 Galaxies Searched
(15:00) Computing in Space: Thermal Management and Why Running Hot is Better
(21:22) Hiding Techno Signatures from Hostile Species
(24:00) Radio Telescopes vs Infrared Detection (SETI Methods)
(27:06) Dismantling Jupiter: Mass Requirements for Dyson Spheres
(33:44) Organic Growth: How Dyson Spheres Would Actually Develop
(35:00) Asteroid Mining and Obtaining Mass Outside Earth
(40:23) Technology Trees: What's Needed Before Building Dyson Spheres
(41:00) Self-Replicating Machines: The Critical Missing Technology
(43:50) Physics vs Engineering: Why 50 Years is Literally Impossible
(48:03) Other Space Megastructures and Energy Collection
(50:28) Tabby's Star: The Alien Megastructure That Wasn't
(54:52) Decision Tree for Verifying Techno Signatures
(57:33) Starship's Potential Impact on Future Space Telescopes
(1:04:34) Moon-Based Telescopes and the Far Side Radio Opportunity
(1:10:28) Rise of Chinese Astronomy Research
(1:12:15) Starlink's Devastating Impact on Ground-Based Astronomy
(1:15:42) Space Law, Treaties, and International Cooperation
(1:18:33) Machine Learning and Data Science in Modern Astronomy
(1:21:11) Future Research Priorities: Petascale Data and All-Sky Surveys
(1:24:59) Wrap
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1:26:38
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1:26:38
Dopamine Optimization vs Human Flourishing with Michal Kovařík, Factorio
Explore game development philosophy and AI's evolving impact through Factorio creator Michal Kovařík's insights on AlphaGo's transformation of Go, current programming limitations, and the future of human-AI collaboration.
Bio: Michal Kovařík is a Czech game developer best known as the co-founder and creative head of Wube Software, the studio behind the global indie hit Factorio. Under his online alias “kovarex,” Kovařík began the Factorio project in 2012 with a vision to blend his favorite game elements – trains, base-building, logistics, and automation – into a new kind of construction & management simulation. Initially funded via a modest Indiegogo campaign, Factorio blossomed from a garage project into one of Steam’s top-rated games, praised for its deep automation gameplay and technical excellence. Kovařík guided Factorio through an 8-year development in open alpha/early access, cultivating a passionate player community through regular “Friday Facts” blog updates. By 2024, Factorio had sold over 4 million copies worldwide, all without ever going on sale.Michal now leads a team of ~30 in Prague, renowned for their principled business approach (no discounts, no DRM) and fan-centric development style, and he’s just launched Factorio’s Space Age expansion.
FOLLOW ON X:
@8teAPi (Ate)
@steveruizok (Michal)
@TurpentineMedia
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LINKS:
Factorio
https://www.factorio.com/
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TIMESTAMPS:
(00:00) Introduction and Factorio Discussion
(07:36) AlphaGo's Impact on Go and AI Perception
(18:56) Factorio's Origin Story and Team Development
(30:13) AI's Current Programming Limitations
(44:50) Future Predictions for AI Programming
(48:31) Societal Concerns: Resource Curse and Human Value
(55:21) Privacy, Surveillance, and Training Data
(1:01:22) AI Alignment and Asimov's Robot Laws
(1:10:00) Social Media as Proto-AI and Dopamine Manipulation
(1:20:00) Programming Human Preferences and Goal Modification
(1:26:00) Historical Perspective and Conclusion
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1:29:22
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1:29:22
Vision To Product with Steve Ruiz, TLDraw
Uncover the power of TLDraw's make-real feature, transforming sketches into functional prototypes using AI. Explore the cutting-edge browser-based technologies and the future of visual communication with founder and CEO, Steve Ruiz.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
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RECOMMENDED PODCAST:
Check out Modern Relationships, where Erik Torenberg interviews tech power couples and leading thinkers to explore how ambitious people actually make partnerships work. Founders Fund's Delian Asparouhov and researcher Nadia Asparouhova kick off the series with an unfiltered conversation about their relationship evolution.
Apple: https://podcasts.apple.com/us/podcast/id1786227593
Spotify: https://open.spotify.com/show/5hJzs0gDg6lRT6r10mdpVg
YouTube: https://www.youtube.com/@ModernRelationshipsPod
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FOLLOW ON X:
@8teAPi (Ate)
@steveruizok (Steve)
@TurpentineMedia
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LINKS:
Steve Ruiz
https://www.steveruiz.me/
TLDraw
https://www.tldraw.com/
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TIMESTAMPS:
(00:00) Intro
02:30) What is TLDraw?
(03:53) TLDraw's Genesis
(07:40) TLDraw's Growth and Open Sourcing
(11:50) Make Real: AI-Powered Prototyping:
(13:20) The Genesis of Make Real
(19:20) The Viral Success of Make Real
(22:30) Programming Through Drawing
(24:50) The Future of Programming and Computer Science.
(27:20) AI-Assisted Design and the Future of Collaboration
(31:00) TLDraw's Location and Team
(32:30) Collaboration with Google DeepMind
(35:10) Feature Selection and the "Model Fight"
(38:30) TLDraw's Success and Design Challenges
(41:00) TLDraw's Community and Innovation:
(45:10) Key Insights and Focus Areas
(49:00) Wrap
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49:58
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49:58
World Builder with Michael Lingelbach, Hedra
In this episode of Emergent Behavior, @8teapi talks with Hedra co-founder Michael Lingelbach. Listen as he shares his vision for a future of AI-powered storytelling, where creators can seamlessly blend real and generated content to bring their unique visions to life. Hedra believes that AI can empower storytellers of all levels, enabling them to create professional-quality video content without needing extensive technical expertise.
Explore the democratization of video production with accessible AI tools and discover Hedra's vision for an AI-powered future where anyone can create compelling video content.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
–
RECOMMENDED PODCAST:
Check out Modern Relationships, where Erik Torenberg interviews tech power couples and leading thinkers to explore how ambitious people actually make partnerships work. Founders Fund's Delian Asparouhov and researcher Nadia Asparouhova kick off the series with an unfiltered conversation about their relationship evolution.
Apple: https://podcasts.apple.com/us/podcast/id1786227593
Spotify: https://open.spotify.com/show/5hJzs0gDg6lRT6r10mdpVg
YouTube: https://www.youtube.com/@ModernRelationshipsPod
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FOLLOW ON X:
@8teAPi (Ate)
@mjlbach (Michael)
@TurpentineMedia
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LINKS:
Michael Lingelbach:
https://mlingelbach.com/
Hedra:
https://www.hedra.com/
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TIMESTAMPS:
(00:00) Introduction
(02:29) Hedra: A Multimodal Foundation Model
(03:45) Diffusion Models and Controllability
(05:49) Audio as a Control Signal
(07:58) Talking Head Features and Performance
(11:41) Democratizing Storytelling
(14:13) Background and Inspiration
(17:17) Character One: First Release
(19:07) Technology and Development
(27:54) Challenges and Future Directions
(38:00) Model Scaling and User Feedback
(41:01) Technical Details and Uncanny Valley
(49:00) Social Media and Collaboration
(54:00) Multi-view Input and the Future
(57:21) Conclusion
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58:29
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58:29
Code Switching with Justin Junyang Lin, Alibaba Qwen Project
In this episode of Emergent Behavior, @8teapi talks with Justin Junyang Lin, Chief Evangelist Officer of Alibaba Qwen Project. Joined by guest host Eugene Cheah, CEO of Recursal.AI, they talk about how Alibaba's Qwen 2 tackles multilingual challenges, including code-switching and the unique complexities of Chinese data.
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
Explore the impact of open-source LLMs like Alibaba's Qwen 2, and how it's driving innovation in AI development.
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RECOMMENDED PODCAST:
🎙️ Unpack Pricing - Dive into the dark arts of SaaS pricing with Metronome CEO Scott Woody and tech leaders. Learn how strategic pricing drives explosive revenue growth in today's biggest companies like Snowflake, Cockroach Labs, Dropbox and more.
Apple: https://podcasts.apple.com/us/podcast/id1765716600
Spotify: https://open.spotify.com/show/38DK3W1Fq1xxQalhDSueFg
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FOLLOW ON X:
@8teAPi (Ate)
@JustinLin610 (Junyang)
@picocreator (Eugene)
@TurpentineMedia
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LINKS:
Alibaba Qwen Project:
https://www.alibabacloud.com/en/solutions/generative-ai/qwen?_p_lc=1
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TIMESTAMPS:
(00:00) Introduction
(04:36) Qwen's Development Journey
(08:00) Data Curation & Coding Capabilities
(11:00) The Role of Evaluation
(14:00) Evolution of Pre-training and Evaluation
(17:00) Open Source vs. Commercial Groups
(22:00) Data Contamination
(24:00) Model Sizing and Computational Constraints
(28:00) Multi-lingual Capabilities
(31:00) Tokenizers and Language-Specific Considerations
(34:00) Code Switching and Data Filtering
(38:00) Code Switching, Dialects, and Model Size
(42:00) User Feedback and Model Development
(46:00) Challenges with Chinese Datasets
(52:00) Language Variation and Team Development
(58:00) Hiring and Team Dynamics
(1:03:00) Diversity and Production Considerations
(1:07:00) Production Impact and Collaboration
(1:13:00) Wrap
Emergent Behavior is a show about artificial intelligence, where we talk to the builders, creators, entrepreneurs, and engineers in AI and ask the questions that we don't actually know the answers to. Hosted by @8teAPi on X, produced by the Turpentine network. Learn more: turpentine.co
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