Charis Tsevis
@tsevis.bsky.social
Visual designer living on the sunny side of the planet.
http://www.tsevis.com
http://www.tsevis.com
Most importantly, he proposes thoughtful ideas for a credible path forward.
In this era of polarizing hype and hate, we need more clear-eyed thinkers like Professor Marcus.
www.youtube.com/watch?v=O0H1...
In this era of polarizing hype and hate, we need more clear-eyed thinkers like Professor Marcus.
www.youtube.com/watch?v=O0H1...
December 26, 2025 at 11:04 AM
Most importantly, he proposes thoughtful ideas for a credible path forward.
In this era of polarizing hype and hate, we need more clear-eyed thinkers like Professor Marcus.
www.youtube.com/watch?v=O0H1...
In this era of polarizing hype and hate, we need more clear-eyed thinkers like Professor Marcus.
www.youtube.com/watch?v=O0H1...
In this recent MIT FutureTech lecture, he narrates the decades-long history of thinking machines, traces the various illusions that have captivated the AI world, and illustrates - with concrete examples - the serious limitations, and even the fundamental "stupidity," of current LLMs and GenAI models
December 26, 2025 at 11:04 AM
In this recent MIT FutureTech lecture, he narrates the decades-long history of thinking machines, traces the various illusions that have captivated the AI world, and illustrates - with concrete examples - the serious limitations, and even the fundamental "stupidity," of current LLMs and GenAI models
Gary Marcus has long been one of the most courageous critics of GenAI, even before it was mainstream. He is not a hater - he uses AI as a compass - but he does not stand with the hype sellers. #AIBubble
December 26, 2025 at 11:04 AM
Gary Marcus has long been one of the most courageous critics of GenAI, even before it was mainstream. He is not a hater - he uses AI as a compass - but he does not stand with the hype sellers. #AIBubble
For all of us who love technology and the challenge of human-machine synergy, it's essential to stay grounded. AGI and super-intelligence can serve as a North Star, but they must not become a broken promise. #AI #GaryMarcus
December 26, 2025 at 11:04 AM
For all of us who love technology and the challenge of human-machine synergy, it's essential to stay grounded. AGI and super-intelligence can serve as a North Star, but they must not become a broken promise. #AI #GaryMarcus
Apple's SHARP model generates photorealistic 3D Gaussian reps from a single image.
Free and Open source project.
GitHub: github.com/apple/ml-sharp
Paper: arxiv.org/abs/2512.10685
Free and Open source project.
GitHub: github.com/apple/ml-sharp
Paper: arxiv.org/abs/2512.10685
December 18, 2025 at 11:07 AM
Apple's SHARP model generates photorealistic 3D Gaussian reps from a single image.
Free and Open source project.
GitHub: github.com/apple/ml-sharp
Paper: arxiv.org/abs/2512.10685
Free and Open source project.
GitHub: github.com/apple/ml-sharp
Paper: arxiv.org/abs/2512.10685
The curious ones understand something important. Your compass is your purpose, your reason for creating. The handbook is just methods, and methods keep changing. I just wrote about why this psychological cycle matters more than any AI debate.
#GenAI
#GenAI
December 17, 2025 at 9:48 PM
The curious ones understand something important. Your compass is your purpose, your reason for creating. The handbook is just methods, and methods keep changing. I just wrote about why this psychological cycle matters more than any AI debate.
#GenAI
#GenAI
The pattern is always identical. Some people freeze and wait for clarity. Others attack the new thing, defending familiar territory. But the most interesting response is transformation, turning that initial fear into curiosity and experimentation.
#DesignEducation
#DesignEducation
December 17, 2025 at 9:48 PM
The pattern is always identical. Some people freeze and wait for clarity. Others attack the new thing, defending familiar territory. But the most interesting response is transformation, turning that initial fear into curiosity and experimentation.
#DesignEducation
#DesignEducation
Every creative transition triggers the same ancient response—fear of the unknown. Cameras did this. Computers did this. Now AI.
#AICreativity
#AICreativity
December 17, 2025 at 9:48 PM
Every creative transition triggers the same ancient response—fear of the unknown. Cameras did this. Computers did this. Now AI.
#AICreativity
#AICreativity
Creativity in the Age of Machine Intelligence: A Compass and a Handbook
Tuesday, 16 December at 11:30, at the Alexander College, Larnaka, Cyprus
alexander.ac.cy/creativity-i...
Tuesday, 16 December at 11:30, at the Alexander College, Larnaka, Cyprus
alexander.ac.cy/creativity-i...
December 15, 2025 at 1:57 PM
Creativity in the Age of Machine Intelligence: A Compass and a Handbook
Tuesday, 16 December at 11:30, at the Alexander College, Larnaka, Cyprus
alexander.ac.cy/creativity-i...
Tuesday, 16 December at 11:30, at the Alexander College, Larnaka, Cyprus
alexander.ac.cy/creativity-i...
For the Computer Vision aficionados out there: Depth Anything 3 is here! ByteDance's latest model is way faster, more accurate, and more versatile than v2 or Meta's VGGT. A game-changer for computer vision, 3D reconstruction, and AR
Github: github.com/ByteDance-Se... ArXiv: arxiv.org/abs/2511.10647
Github: github.com/ByteDance-Se... ArXiv: arxiv.org/abs/2511.10647
November 15, 2025 at 2:29 PM
For the Computer Vision aficionados out there: Depth Anything 3 is here! ByteDance's latest model is way faster, more accurate, and more versatile than v2 or Meta's VGGT. A game-changer for computer vision, 3D reconstruction, and AR
Github: github.com/ByteDance-Se... ArXiv: arxiv.org/abs/2511.10647
Github: github.com/ByteDance-Se... ArXiv: arxiv.org/abs/2511.10647
From sci-paper analysis to sophisticated software. With basic skills, I used ClaudeAI as a partner to build it. My story:
tsevis.com/how-i-learne...
#GenAI #ClaudeCode
tsevis.com/how-i-learne...
#GenAI #ClaudeCode
September 1, 2025 at 8:36 PM
From sci-paper analysis to sophisticated software. With basic skills, I used ClaudeAI as a partner to build it. My story:
tsevis.com/how-i-learne...
#GenAI #ClaudeCode
tsevis.com/how-i-learne...
#GenAI #ClaudeCode
Why is it my new go-to? While CLIP (from OpenAI or others) requires text captions and specialist models that overfit to niche data, DINOv3 operates like pure visual intuition. #SSLforImages
August 15, 2025 at 3:23 PM
Why is it my new go-to? While CLIP (from OpenAI or others) requires text captions and specialist models that overfit to niche data, DINOv3 operates like pure visual intuition. #SSLforImages
Forget begging for labeled data or wrestling with five different models. This model learns purely from raw pixels, 1.7 billion of them, and provides a single, frozen backbone that handles tasks such as depth mapping, segmentation, and material estimation out of the box.
#SSL #AI
#SSL #AI
August 15, 2025 at 3:23 PM
Computer Vision is probably my favorite discipline of IT.
If you are building apps that enable your computer to see (style transfer, object removal, smart masking, visual effects etc.) with DINOv3 has quietly changed the game.
#ComputerVision
If you are building apps that enable your computer to see (style transfer, object removal, smart masking, visual effects etc.) with DINOv3 has quietly changed the game.
#ComputerVision
August 15, 2025 at 3:23 PM
Computer Vision is probably my favorite discipline of IT.
If you are building apps that enable your computer to see (style transfer, object removal, smart masking, visual effects etc.) with DINOv3 has quietly changed the game.
#ComputerVision
If you are building apps that enable your computer to see (style transfer, object removal, smart masking, visual effects etc.) with DINOv3 has quietly changed the game.
#ComputerVision
Also use weighted prompts based on relevance.
Works across 6 tasks. No fine-tuning. No extra data.
Interesting step in using models more intelligently, not just bigger or trained more.
arxiv.org/html/2508.09...
#ComputerVision #ML
Works across 6 tasks. No fine-tuning. No extra data.
Interesting step in using models more intelligently, not just bigger or trained more.
arxiv.org/html/2508.09...
#ComputerVision #ML
August 14, 2025 at 8:50 AM
Also use weighted prompts based on relevance.
Works across 6 tasks. No fine-tuning. No extra data.
Interesting step in using models more intelligently, not just bigger or trained more.
arxiv.org/html/2508.09...
#ComputerVision #ML
Works across 6 tasks. No fine-tuning. No extra data.
Interesting step in using models more intelligently, not just bigger or trained more.
arxiv.org/html/2508.09...
#ComputerVision #ML
A new paper shows how Stable Diffusion can do visual in-context learning without any training.
They change how attention works during inference to let the model compare a query image with example prompts.
They change how attention works during inference to let the model compare a query image with example prompts.
August 14, 2025 at 8:50 AM
A new paper shows how Stable Diffusion can do visual in-context learning without any training.
They change how attention works during inference to let the model compare a query image with example prompts.
They change how attention works during inference to let the model compare a query image with example prompts.
Made with custom algorithms + 15 years of African textile research. 4th edition in my series.
#DigitalArt #AfricanCulture
#DigitalArt #AfricanCulture
August 13, 2025 at 10:32 AM
Made with custom algorithms + 15 years of African textile research. 4th edition in my series.
#DigitalArt #AfricanCulture
#DigitalArt #AfricanCulture
Two parts: 5 imaginary women (archetypal spirits) + 5 real icons (Tyla, Siya Kolisi, Thuli Madonsela). Each uses 1000+ textile patterns. #AlgorithmicArt #ComputationalArt
August 13, 2025 at 10:32 AM
Two parts: 5 imaginary women (archetypal spirits) + 5 real icons (Tyla, Siya Kolisi, Thuli Madonsela). Each uses 1000+ textile patterns. #AlgorithmicArt #ComputationalArt
Sometimes you need to trace backward to understand where you're going. The full story surprised even me.
You can read the piece on my blog: tsevis.com/when-machine...
#DigitalArt #DigitalComplexity
You can read the piece on my blog: tsevis.com/when-machine...
#DigitalArt #DigitalComplexity
August 5, 2025 at 10:55 AM
Sometimes you need to trace backward to understand where you're going. The full story surprised even me.
You can read the piece on my blog: tsevis.com/when-machine...
#DigitalArt #DigitalComplexity
You can read the piece on my blog: tsevis.com/when-machine...
#DigitalArt #DigitalComplexity
The things he taught me in his workshop now mix with my computer coding. Hands-on meets digital. #CreativeCode #CodeArt #DigitalMosaic
August 5, 2025 at 10:55 AM
The things he taught me in his workshop now mix with my computer coding. Hands-on meets digital. #CreativeCode #CodeArt #DigitalMosaic
Dad's lesson: "Find poetry in the machine." Every constraint became creativity. Every limitation, liberation.
August 5, 2025 at 10:55 AM
Dad's lesson: "Find poetry in the machine." Every constraint became creativity. Every limitation, liberation.
The path: 1898 typewriter art to early computer experts at Bell Labs to groups making art with keyboard symbols to my computer programs today. Each era builds on the last. #AsciiArt #AnsiArt #8bitbeauty #DigitalMosaic #Photomosaic
August 5, 2025 at 10:55 AM
The path: 1898 typewriter art to early computer experts at Bell Labs to groups making art with keyboard symbols to my computer programs today. Each era builds on the last. #AsciiArt #AnsiArt #8bitbeauty #DigitalMosaic #Photomosaic
Spent countless hours writing about how my dad shaped my digital art journey - from his inventive spirit in 1970s Greece to Fortune 500 work. #IT #ASCIIArt #MachineArt #Typography
August 5, 2025 at 10:55 AM
Spent countless hours writing about how my dad shaped my digital art journey - from his inventive spirit in 1970s Greece to Fortune 500 work. #IT #ASCIIArt #MachineArt #Typography
The devastating truth about current AI models: They have no real understanding. There is no intelligence in them.
New Harvard/MIT research trained models on planetary orbits. They perfectly predicted planetary motion but completely failed when asked to apply basic physics (F=ma) to new scenarios.
New Harvard/MIT research trained models on planetary orbits. They perfectly predicted planetary motion but completely failed when asked to apply basic physics (F=ma) to new scenarios.
August 3, 2025 at 5:42 PM
The devastating truth about current AI models: They have no real understanding. There is no intelligence in them.
New Harvard/MIT research trained models on planetary orbits. They perfectly predicted planetary motion but completely failed when asked to apply basic physics (F=ma) to new scenarios.
New Harvard/MIT research trained models on planetary orbits. They perfectly predicted planetary motion but completely failed when asked to apply basic physics (F=ma) to new scenarios.