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Introducing Modern Claudefare Built fully with Opus 5 on High Mode over a few days using principles from Matt Shumer’s Gauntlet Loop - 84,100 lines of code Includes remakes of 4 beloved maps: 0:00 - Rust 0:40 - Highrise 0:57 - Nuketown 1:26 - Terminal Solo & multiplayer (w/...

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Rishi

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279,961 Aufrufe • vor 18 Tagen •via X (Twitter)

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Opus 5 DID NOT 1 shot this paper sketch style multiplayer FPS game, with highly satisfying shooting mechanics. Been seeing all these "look at Opus 1 shotted" demos, tried the public prompts on Ultracode, and what it produces is a stuff of nightmares, worthy only of a selective screen recording for X. These are cool capability tests, but not games. I've been building this black/white themed high action and performance FPS that feels good to play for the last week or so . This was done as a series of ~100 prompts using Fable 5, Sol, Grok 4.5 and now Opus 5, over the course of ~20 hrs. I would not say Opus 5 is a "game changer", but its noticeably better, and sometimes faster. The demo video below is local sandbox mode, but 64hz LAN multiplayer works pretty well too. Ported over some Counterstrike maps (dust and assault), if you're into classics. Source code below. Run it with 3 commands.
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Opus 5 DID NOT 1 shot this paper sketch style multiplayer FPS game, with highly satisfying shooting mechanics. Been seeing all these "look at Opus 1 shotted" demos, tried the public prompts on Ultracode, and what it produces is a stuff of nightmares, worthy only of a selective screen recording for X. These are cool capability tests, but not games. I've been building this black/white themed high action and performance FPS that feels good to play for the last week or so . This was done as a series of ~100 prompts using Fable 5, Sol, Grok 4.5 and now Opus 5, over the course of ~20 hrs. I would not say Opus 5 is a "game changer", but its noticeably better, and sometimes faster. The demo video below is local sandbox mode, but 64hz LAN multiplayer works pretty well too. Ported over some Counterstrike maps (dust and assault), if you're into classics. Source code below. Run it with 3 commands.

Yegor Sak

25,479 Aufrufe • vor 26 Tagen

You don't need to be a 3D artist to start building 3D websites anymore 💛 Built this cool 3D jet drone website in Three.js using Claude Opus 5 and Tripo in < 1 hour. A lot of people still think AI is great for generating code, but not for building something that actually feels polished and interactive or "complex". But it has been changing super fast these days. The model you see here is only 946KB, compressed from its original 13.6MB size automatically by Claude without losing any quality. This kind of intelligence has been developed in many other AI tools for anything related to 3D (except GPT 5.6 sol lol). You just have to describe what you want and they handle everything "engineerly" (that's not even a word but okay :D) Anyway, also you don't really have to learn anything about 3D modeling to create these models. All you need is a good image and put it in Tripo. For this case, i generated model using "smart mesh" feature that generated a cleaner low-poly topology and edge flow. That helps keep your actual 3D asset even more lightweight. Earlier, with HD model feature, my model size with 8k texture was around 60-70MB but with Smart Mesh, it's around 13-16MB with 8k texture applied separately. Of course, this isn't something I knew from the beginning. All I did was "try" out different features and see what happens. Live: Code: Design:
0:27

You don't need to be a 3D artist to start building 3D websites anymore 💛 Built this cool 3D jet drone website in Three.js using Claude Opus 5 and Tripo in < 1 hour. A lot of people still think AI is great for generating code, but not for building something that actually feels polished and interactive or "complex". But it has been changing super fast these days. The model you see here is only 946KB, compressed from its original 13.6MB size automatically by Claude without losing any quality. This kind of intelligence has been developed in many other AI tools for anything related to 3D (except GPT 5.6 sol lol). You just have to describe what you want and they handle everything "engineerly" (that's not even a word but okay :D) Anyway, also you don't really have to learn anything about 3D modeling to create these models. All you need is a good image and put it in Tripo. For this case, i generated model using "smart mesh" feature that generated a cleaner low-poly topology and edge flow. That helps keep your actual 3D asset even more lightweight. Earlier, with HD model feature, my model size with 8k texture was around 60-70MB but with Smart Mesh, it's around 13-16MB with 8k texture applied separately. Of course, this isn't something I knew from the beginning. All I did was "try" out different features and see what happens. Live: Code: Design:

The Bugged Dev

43,360 Aufrufe • vor 6 Tagen

one thing that has saved my projects more time than I can count is evals boy was I excited when florian, quite literally an expert in benchmarks, agreed to hop into a ~2h interview to do a walkthrough of what the eval landscape looks like in 2026 (and also answer my personal business questions on the subject) given that now running frontier model through benchmarks is a vector for hacking other systems in order to avoid doing work (looking at you sol), I think it's more important than ever to educate folks on the evals situation. had a lot of fun throughout this session and I hope that you learn a thing or two! enjoy! 🌹 table of content: 0:00:00: are AI Benchmark broken? 0:05:45: Florian Brand background 0:09:00: what motivates florian to work on evaluation? 0:13:33: what is the mirrorcode benchmark about? 0:18:20: cheating in agent benchmark is insaneeeee 0:24:08: LLM benchmarks in era of agents 0:26:30: what’s up with the pelican man 0:28:27: evals are about capabilities 0:31:46: components of running evals 0:35:30: the volume of things to audit is huge!!! 0:40:20: expert answers are wrong hahahaha 0:46:00: api providers aren’t the same 0:48:00: benchmark narrow capabilities (synthetically) 0:50:56: link between eval and environment 0:53:45: small validated benchmark or massive bench? 0:56:11: what is your flow to review a benchmark? 0:58:30: tracking work capabilities with evaluation 1:00:20: slide deck in industry is all vibecoded 1:03:30: harness impact in the evaluation 1:07:39: hardware/sandboxes impact evaluation too! 1:11:00: “is it going to get worse?” 1:12:40: all components influence the final score 1:13:50: training models on different harnesses? 1:17:20: is the model just the weights or it’s all of it? 1:19:30: how to craft benchmark that prevent to cheating and undereliciting models in 2026 1:23:19: ways agents cheat and steal 1:26:00: correct elicitation of capabilities is important 1:36:00: building evaluation on prime intellect 1:45:10: how do you design interactivity benchmarks? 1:48:40: do you think evals are well set to reflect real world performance? 1:52:50: what will the benchmarking landscape will look like in 1 year
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one thing that has saved my projects more time than I can count is evals boy was I excited when florian, quite literally an expert in benchmarks, agreed to hop into a ~2h interview to do a walkthrough of what the eval landscape looks like in 2026 (and also answer my personal business questions on the subject) given that now running frontier model through benchmarks is a vector for hacking other systems in order to avoid doing work (looking at you sol), I think it's more important than ever to educate folks on the evals situation. had a lot of fun throughout this session and I hope that you learn a thing or two! enjoy! 🌹 table of content: 0:00:00: are AI Benchmark broken? 0:05:45: Florian Brand background 0:09:00: what motivates florian to work on evaluation? 0:13:33: what is the mirrorcode benchmark about? 0:18:20: cheating in agent benchmark is insaneeeee 0:24:08: LLM benchmarks in era of agents 0:26:30: what’s up with the pelican man 0:28:27: evals are about capabilities 0:31:46: components of running evals 0:35:30: the volume of things to audit is huge!!! 0:40:20: expert answers are wrong hahahaha 0:46:00: api providers aren’t the same 0:48:00: benchmark narrow capabilities (synthetically) 0:50:56: link between eval and environment 0:53:45: small validated benchmark or massive bench? 0:56:11: what is your flow to review a benchmark? 0:58:30: tracking work capabilities with evaluation 1:00:20: slide deck in industry is all vibecoded 1:03:30: harness impact in the evaluation 1:07:39: hardware/sandboxes impact evaluation too! 1:11:00: “is it going to get worse?” 1:12:40: all components influence the final score 1:13:50: training models on different harnesses? 1:17:20: is the model just the weights or it’s all of it? 1:19:30: how to craft benchmark that prevent to cheating and undereliciting models in 2026 1:23:19: ways agents cheat and steal 1:26:00: correct elicitation of capabilities is important 1:36:00: building evaluation on prime intellect 1:45:10: how do you design interactivity benchmarks? 1:48:40: do you think evals are well set to reflect real world performance? 1:52:50: what will the benchmarking landscape will look like in 1 year

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This is the first cut of my trailer for my idle Basebuilding RPG with a deckbuilding roguelike adventure, Sector Scavengers! I’m a little over 20 days into development and having a blast! Here’s the set of tools I used for this: 1. Makko AI for gameplay and art 2. ElevenLabs for voiceover 3. Grok for the cut scenes 4. BandM8 for the background music 5. CapCut to bring it all together Starting out as a solo dev at age 40 wasn’t on my dance card but here we are! Thanks to everyone who is following along and supporting!
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This is the first cut of my trailer for my idle Basebuilding RPG with a deckbuilding roguelike adventure, Sector Scavengers! I’m a little over 20 days into development and having a blast! Here’s the set of tools I used for this: 1. Makko AI for gameplay and art 2. ElevenLabs for voiceover 3. Grok for the cut scenes 4. BandM8 for the background music 5. CapCut to bring it all together Starting out as a solo dev at age 40 wasn’t on my dance card but here we are! Thanks to everyone who is following along and supporting!

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Check out this drone: Joshua Bird built this drone ($20) in his dorm! [open-source motion capture system⬇️] Built at low cost, a motion capture system for tracking & and flying drones autonomously, with millimeter-level precision at room-scale. The student used $1 PS3 Eye cameras with 150fps capability. The challenge? PID tuning! It took him 4 days of crashes to get the drone to hover, but it's still wobbly. Used a 3x nested PID loop for precise control. This project led to his dissertation on visual SLAM! Full details - Algorithms for camera positioning & obstacle triangulation, in his YouTube video: Code & 3D files on GitHub: More projects at

Ilir Aliu

101,689 Aufrufe • vor 1 Jahr

A 23-year-old game modder from Prague uploaded one image of a battle axe into Claude Opus 4.8 and built a $6,200/month 3D asset factory without opening a single modeling tab he let the model write the entire geometry script for Blender from scratch the workflow that prints ready-to-sell assets: > reference upload: drop a high-res weapon concept into the chat window > reasoning layer: Claude Opus 4.8 analyzes the edges, weight distribution, and scale > code generation: the model spits out a flawless python script in 13 minutes using 5,000 tokens > render loop: the code executes inside Blender, auto-generating complex 3D meshes with surface imperfections he found a minor shading bug, fixed it manually in 40 seconds, and uploaded the finished axe to TurboSquid and Sketchfab Earnings breakout: Week 1 > $1,120 Week 2 > $1,450 Week 3 > $1,780 Week 4 > $1,850 1 month > $6,200 net profit > most 3D artists are still spending 14 hours extruding vertices manually and crying about industry layoffs he bypassed the entire pipeline for the price of an API key
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A 23-year-old game modder from Prague uploaded one image of a battle axe into Claude Opus 4.8 and built a $6,200/month 3D asset factory without opening a single modeling tab he let the model write the entire geometry script for Blender from scratch the workflow that prints ready-to-sell assets: > reference upload: drop a high-res weapon concept into the chat window > reasoning layer: Claude Opus 4.8 analyzes the edges, weight distribution, and scale > code generation: the model spits out a flawless python script in 13 minutes using 5,000 tokens > render loop: the code executes inside Blender, auto-generating complex 3D meshes with surface imperfections he found a minor shading bug, fixed it manually in 40 seconds, and uploaded the finished axe to TurboSquid and Sketchfab Earnings breakout: Week 1 > $1,120 Week 2 > $1,450 Week 3 > $1,780 Week 4 > $1,850 1 month > $6,200 net profit > most 3D artists are still spending 14 hours extruding vertices manually and crying about industry layoffs he bypassed the entire pipeline for the price of an API key

Mr. Buzzoni

20,877 Aufrufe • vor 2 Monaten

📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: Project: Our core idea is to make Gaussian Reconstruction Models animatable. We find that a simple cross-attention to an expression code sequence is already sufficient to model complex facial expressions. We then incorporate position maps from DUSt3R and feature maps from Sapiens to facilitate the prediction task. While DUSt3R's position maps act as a pixel-aligned initialization for the Gaussians' positions, the Sapiens feature maps help the cross-view transformer to match corresponding image tokens in the 4 input images. One major challenge in creating a 3D head avatar from smartphone images comes from inconsistent facial expressions when the subject could not remain perfectly static during the capture. We eliminate this static requirement by simply showing our model input images with different facial expressions during training. This technique makes our model robust to inconsistent input images later on. Finally, we show that despite the model has been trained with 4 input images, one can even create a 3D head avatar when only a single image is available. To achieve this, we employ a pre-trained 3D GAN to lift the single image to 3D and then render the 4 input images for our model. This allows us to create 3D head avatars from single images and even highly out-of-distribution examples like AI generated faces, paintings or statues. Great work by Tobias Kirschstein from his internship at Meta with Javier Romero, Artem Sevastopolsky, and Shunsuke Saito
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📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: Project: Our core idea is to make Gaussian Reconstruction Models animatable. We find that a simple cross-attention to an expression code sequence is already sufficient to model complex facial expressions. We then incorporate position maps from DUSt3R and feature maps from Sapiens to facilitate the prediction task. While DUSt3R's position maps act as a pixel-aligned initialization for the Gaussians' positions, the Sapiens feature maps help the cross-view transformer to match corresponding image tokens in the 4 input images. One major challenge in creating a 3D head avatar from smartphone images comes from inconsistent facial expressions when the subject could not remain perfectly static during the capture. We eliminate this static requirement by simply showing our model input images with different facial expressions during training. This technique makes our model robust to inconsistent input images later on. Finally, we show that despite the model has been trained with 4 input images, one can even create a 3D head avatar when only a single image is available. To achieve this, we employ a pre-trained 3D GAN to lift the single image to 3D and then render the 4 input images for our model. This allows us to create 3D head avatars from single images and even highly out-of-distribution examples like AI generated faces, paintings or statues. Great work by Tobias Kirschstein from his internship at Meta with Javier Romero, Artem Sevastopolsky, and Shunsuke Saito

Matthias Niessner

74,763 Aufrufe • vor 1 Jahr

Free GPT-5.6 Sol/Terra/Luna + Claude Sonnet 4.6 + a full IDE one code editor just dropped a 14-day Pro trial with popular AI models ( no card required, no BS ) what you get: - GPT-5.6 Sol, Terra, Luna (full family) - Claude Sonnet 4.6 - two weeks of real coding - native IDE built in Rust (10x faster than VS Code) - multiplayer coding + native AI integration how to get: 1. go to zed(.)dev, sign in via GitHub (account must be 1+ month old) 2. click Pricing, select Pro, hit "Start Trial Now" 3. download their IDE 4. open a project -> click the star icon bottom-left -> pick your model in other words, you get a full-featured IDE with leading AI tools that work for free for 14 days - all for $0. based on the tests I've run, I'd say the speed and ease of use are really great - on par with Cursor. btw I recently wrote a full guide on ways to pay $0 for every subscription you have - this is just one of them worth to read:
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Free GPT-5.6 Sol/Terra/Luna + Claude Sonnet 4.6 + a full IDE one code editor just dropped a 14-day Pro trial with popular AI models ( no card required, no BS ) what you get: - GPT-5.6 Sol, Terra, Luna (full family) - Claude Sonnet 4.6 - two weeks of real coding - native IDE built in Rust (10x faster than VS Code) - multiplayer coding + native AI integration how to get: 1. go to zed(.)dev, sign in via GitHub (account must be 1+ month old) 2. click Pricing, select Pro, hit "Start Trial Now" 3. download their IDE 4. open a project -> click the star icon bottom-left -> pick your model in other words, you get a full-featured IDE with leading AI tools that work for free for 14 days - all for $0. based on the tests I've run, I'd say the speed and ease of use are really great - on par with Cursor. btw I recently wrote a full guide on ways to pay $0 for every subscription you have - this is just one of them worth to read:

kaize

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🚨Our episode with Anne-Laure Le Cunff is now live! Anne-Laure Le Cunff is the founder of Ness Labs and author of Tiny Experiments: How to Live Freely in a Goal-Obsessed World. She's a neuroscience PhD and writes a newsletter that has 100,000+ subscribers. She's used those insights to develop a new model of success — one built around conducting “tiny experiments” that help her build a life on her own terms. She joins me to discuss how we get trapped in cognitive scripts, the hidden dangers of productivity culture, how we can experiment our way to a better life and MUCH more! Timestamps 0:00:00 Intro 0:00:48 Guest introduction 0:05:15 How do you know you are bored out? 0:17:18 People who love us the most might turn out to be our biggest blockers 0:22:20 Don't confuse activity with effectiveness 0:27:39 We will do virtually anything to gain what is really an illusion of control 0:32:16 The map is not the territory, the menu is not the meal. And yet, words are magic spells 0:39:16 The Winner’s Script and the Loser’s Script 0:47:34 "You gotta run at the top speed if you just want to stay in place.” 0:50:27 Let go of the linear and replace it with the loop- a more cyclical approach for growth 0:55:20 Can you sit alone in a room for 15 minutes? 0:58:24 Procrastination is just a signal from your brain that something is not quite working right now 1:20:38 We know nothing 1:24:26 AI is a rocket ship for the mind 1:28:20 In 100 years, nobody will remember you
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🚨Our episode with Anne-Laure Le Cunff is now live! Anne-Laure Le Cunff is the founder of Ness Labs and author of Tiny Experiments: How to Live Freely in a Goal-Obsessed World. She's a neuroscience PhD and writes a newsletter that has 100,000+ subscribers. She's used those insights to develop a new model of success — one built around conducting “tiny experiments” that help her build a life on her own terms. She joins me to discuss how we get trapped in cognitive scripts, the hidden dangers of productivity culture, how we can experiment our way to a better life and MUCH more! Timestamps 0:00:00 Intro 0:00:48 Guest introduction 0:05:15 How do you know you are bored out? 0:17:18 People who love us the most might turn out to be our biggest blockers 0:22:20 Don't confuse activity with effectiveness 0:27:39 We will do virtually anything to gain what is really an illusion of control 0:32:16 The map is not the territory, the menu is not the meal. And yet, words are magic spells 0:39:16 The Winner’s Script and the Loser’s Script 0:47:34 "You gotta run at the top speed if you just want to stay in place.” 0:50:27 Let go of the linear and replace it with the loop- a more cyclical approach for growth 0:55:20 Can you sit alone in a room for 15 minutes? 0:58:24 Procrastination is just a signal from your brain that something is not quite working right now 1:20:38 We know nothing 1:24:26 AI is a rocket ship for the mind 1:28:20 In 100 years, nobody will remember you

Infinite Loops 🎙

22,154 Aufrufe • vor 1 Jahr

Today: a 1.5 hour interview with the co-founders of Coherence Neuro: Ben Woodington and Elise Jenkins They are, as far as i can tell, the only (neurotechnology x oncology) startup that exists today. 'Neurotechnology? For cancer?' you may ask. Yes! As it turns out, tumors interact with the nervous system a fair bit, and you can use the very same neuromodulation toolbox that exists for neuropsychiatric conditions, for monitoring and treating cancer. Coherence has built an invasive device to place at the site of a tumor to do exactly this. Their first indication is a form of brain cancer called glioblastoma; one of the most fatal subtypes of cancer to exist today. The standard of care (with one exception that we discuss) has not changed in 25 years. If Coherence works out, and there is a very real chance they will, that may change. Most interesting of all is that Coherence believes that the bioelectric properties of cancer are not just worth poking at for brain cancers, but for all cancers. And maybe even for diseases outside of it! This conversation covers how Coherence’s first neurotech device (SOMA) works, the molecular reasons behind why neuromodulation affects cancer at all, what the biomarker readouts look like, the obvious Michael Levin comparison, and a lot more. Also: shout to Nicole for setting up the connection here in the first place! Crazy to think that a meeting in mid-2025 ended up leading to this Youtube/Spotify/Apple Podcasts links in replies 0:00:00 - Introduction 0:01:42 - How is SOMA different from Novocure’s Optune? 0:08:57 - Why does neuromodulation affect cancer at all? 0:13:28 - How was cancer-nervous system crosstalk first discovered? 0:15:42 - Anti-epileptics and beta blockers as accidental cancer drugs 0:17:38 - What is molecularly happening when you block cancer-neuron crosstalk? 0:19:50 - What is SOMA actually reading out as a biomarker? 0:20:44 - What does it mean that cancer is “very electric”? 0:22:02 - Can you derive universal biomarkers across patients? 0:23:09 - How is the device placed? 0:24:45 - How does the blocking stimulation regime work? 0:26:43 - Is it fair to say this is closed loop? 0:29:05 - Why not just spam the tumor with constant stimulation? 0:32:31 - Why MRI safety is non-negotiable for oncology devices 0:33:35 - Walk us through the patient journey from diagnosis to implantation 0:36:13 - The Michael Levin question: can you reprogram cancer back to normal? 0:42:29 - Efficacy, hospice settings, and the utility of the neuromodulation literature 0:45:52 - Why start with glioblastoma instead of an easier cancer? 0:48:57 - Regulatory strategy and the reimbursement threat 0:55:37 - How well does mouse-to-human translation work for neuromodulation? 0:55:57 - What do in silico models of neuromodulation look like? 0:58:09 - Why didn’t this exist 10 years ago? 1:01:48 - The founding story 1:06:38 - Why build your own device instead of using off-the-shelf arrays? 1:08:35 - Speaking with glioblastoma patients 1:12:04 - What was it like to raise money for this? 1:13:56 - Beyond cancer: TBI, lung disease, and the pan-disease argument 1:17:40 - Hiring at Coherence + what is the hardest type of talent to find 1:23:17 - What would you do with $100M equity-free? 1:27:15 - Are you a neurotech company or a cancer company?
1:33:20

Today: a 1.5 hour interview with the co-founders of Coherence Neuro: Ben Woodington and Elise Jenkins They are, as far as i can tell, the only (neurotechnology x oncology) startup that exists today. 'Neurotechnology? For cancer?' you may ask. Yes! As it turns out, tumors interact with the nervous system a fair bit, and you can use the very same neuromodulation toolbox that exists for neuropsychiatric conditions, for monitoring and treating cancer. Coherence has built an invasive device to place at the site of a tumor to do exactly this. Their first indication is a form of brain cancer called glioblastoma; one of the most fatal subtypes of cancer to exist today. The standard of care (with one exception that we discuss) has not changed in 25 years. If Coherence works out, and there is a very real chance they will, that may change. Most interesting of all is that Coherence believes that the bioelectric properties of cancer are not just worth poking at for brain cancers, but for all cancers. And maybe even for diseases outside of it! This conversation covers how Coherence’s first neurotech device (SOMA) works, the molecular reasons behind why neuromodulation affects cancer at all, what the biomarker readouts look like, the obvious Michael Levin comparison, and a lot more. Also: shout to Nicole for setting up the connection here in the first place! Crazy to think that a meeting in mid-2025 ended up leading to this Youtube/Spotify/Apple Podcasts links in replies 0:00:00 - Introduction 0:01:42 - How is SOMA different from Novocure’s Optune? 0:08:57 - Why does neuromodulation affect cancer at all? 0:13:28 - How was cancer-nervous system crosstalk first discovered? 0:15:42 - Anti-epileptics and beta blockers as accidental cancer drugs 0:17:38 - What is molecularly happening when you block cancer-neuron crosstalk? 0:19:50 - What is SOMA actually reading out as a biomarker? 0:20:44 - What does it mean that cancer is “very electric”? 0:22:02 - Can you derive universal biomarkers across patients? 0:23:09 - How is the device placed? 0:24:45 - How does the blocking stimulation regime work? 0:26:43 - Is it fair to say this is closed loop? 0:29:05 - Why not just spam the tumor with constant stimulation? 0:32:31 - Why MRI safety is non-negotiable for oncology devices 0:33:35 - Walk us through the patient journey from diagnosis to implantation 0:36:13 - The Michael Levin question: can you reprogram cancer back to normal? 0:42:29 - Efficacy, hospice settings, and the utility of the neuromodulation literature 0:45:52 - Why start with glioblastoma instead of an easier cancer? 0:48:57 - Regulatory strategy and the reimbursement threat 0:55:37 - How well does mouse-to-human translation work for neuromodulation? 0:55:57 - What do in silico models of neuromodulation look like? 0:58:09 - Why didn’t this exist 10 years ago? 1:01:48 - The founding story 1:06:38 - Why build your own device instead of using off-the-shelf arrays? 1:08:35 - Speaking with glioblastoma patients 1:12:04 - What was it like to raise money for this? 1:13:56 - Beyond cancer: TBI, lung disease, and the pan-disease argument 1:17:40 - Hiring at Coherence + what is the hardest type of talent to find 1:23:17 - What would you do with $100M equity-free? 1:27:15 - Are you a neurotech company or a cancer company?

owl

37,299 Aufrufe • vor 5 Monaten

i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2
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i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2

Nidhi Singh

16,289 Aufrufe • vor 2 Monaten

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)
0:27

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)

Mike Futia

33,645 Aufrufe • vor 2 Monaten

Launching a new podcast today! Filmed at our NYC office, each episode of The Archive focuses on a founder or operator who has built an important crypto business/protocol. The first episode is with Keone Hon, founder of Monad. We dive into Keone’s upbringing, the early days of Monad and the journey to raising the seed round. Plus, we talk about recruiting + scaling the team, and the philosophies they used to launch and grow the network. Here's what we discussed: 0:00 - Intro 0:42 - Altitude 1:32 - Monad's Launch 4:25 - Keone’s early life and interests 16:52 - Where Keone’s work ethic came from 19:52 - Working at Jump and how the culture passed on to Monad 24:26 - Starting Monad 30:05 - Raising the seed round for Monad 32:29 - Growing the Monad community and open-sourcing code 36:35 - How Keone hired for the early team 44:07 - The future of Category Labs 51:26 - Which metrics is Monad focusing on 1:00:24 - Building a base of loyal and passionate users 1:07:45 - The personality of an L1 founder 1:13:46 - Founders that Keone looks up to 1:18:34 - Day in the life of Keone 1:23:57 - The endgame vision for Monad
1:26:31

Launching a new podcast today! Filmed at our NYC office, each episode of The Archive focuses on a founder or operator who has built an important crypto business/protocol. The first episode is with Keone Hon, founder of Monad. We dive into Keone’s upbringing, the early days of Monad and the journey to raising the seed round. Plus, we talk about recruiting + scaling the team, and the philosophies they used to launch and grow the network. Here's what we discussed: 0:00 - Intro 0:42 - Altitude 1:32 - Monad's Launch 4:25 - Keone’s early life and interests 16:52 - Where Keone’s work ethic came from 19:52 - Working at Jump and how the culture passed on to Monad 24:26 - Starting Monad 30:05 - Raising the seed round for Monad 32:29 - Growing the Monad community and open-sourcing code 36:35 - How Keone hired for the early team 44:07 - The future of Category Labs 51:26 - Which metrics is Monad focusing on 1:00:24 - Building a base of loyal and passionate users 1:07:45 - The personality of an L1 founder 1:13:46 - Founders that Keone looks up to 1:18:34 - Day in the life of Keone 1:23:57 - The endgame vision for Monad

Derek Hsue

69,907 Aufrufe • vor 6 Monaten

THIS GUY VIBE CODED A FULL CAPYBARA FOOD DELIVERY GAME IN 2 WEEKS WITH CLAUDE CODE you play as a capybara delivering food on a bike. orders stack on the back, you have a phone with apps in-game and the whole delivery system is realistic 2 weeks, zero game dev experience, and ENTIRELY AI generated the full stack: > claude code for all the code > three.js for the 3D engine > suno for original music > elevenlabs for sound effects and voice > GPT images-2 and grok for textures and illustrations > tripo3d for generating all the 3D assets the cinematics are all in-game too. he asked claude to build a cinematic editor with timeline controls, camera animation, and transitions. then he just placed the cameras himself his workflow was more planning than coding (obviously): > come up with the core mechanic > plan every feature using claude /plan mode > generate assets with AI tools > spend most of his time on the final polish, prop placement, and making the design feel right he said the human part is what most vibe coded games are missing. AI can generate everything but having taste for what looks good and what feels right is still on you the game is playable right now in the browser this is what vibe coding is actually capable of in the game dev space right now a year ago this would have taken a small team of developers, a sound designer, and an artist working together for months now one person with no experience can ship a polished playable game with story, music, and mechanics in 14 days the tools keep getting better and the barrier to making real games keeps getting lower
2:32

THIS GUY VIBE CODED A FULL CAPYBARA FOOD DELIVERY GAME IN 2 WEEKS WITH CLAUDE CODE you play as a capybara delivering food on a bike. orders stack on the back, you have a phone with apps in-game and the whole delivery system is realistic 2 weeks, zero game dev experience, and ENTIRELY AI generated the full stack: > claude code for all the code > three.js for the 3D engine > suno for original music > elevenlabs for sound effects and voice > GPT images-2 and grok for textures and illustrations > tripo3d for generating all the 3D assets the cinematics are all in-game too. he asked claude to build a cinematic editor with timeline controls, camera animation, and transitions. then he just placed the cameras himself his workflow was more planning than coding (obviously): > come up with the core mechanic > plan every feature using claude /plan mode > generate assets with AI tools > spend most of his time on the final polish, prop placement, and making the design feel right he said the human part is what most vibe coded games are missing. AI can generate everything but having taste for what looks good and what feels right is still on you the game is playable right now in the browser this is what vibe coding is actually capable of in the game dev space right now a year ago this would have taken a small team of developers, a sound designer, and an artist working together for months now one person with no experience can ship a polished playable game with story, music, and mechanics in 14 days the tools keep getting better and the barrier to making real games keeps getting lower

Om Patel

241,709 Aufrufe • vor 3 Monaten

I’m blown away by the quality of the landing pages that Opus 5 can create in Three.js. Prompting it with "orbit using mouse" is enough to create a 3D parallax effect. The same goes for "add particles to pointer." It’s like creating a living, breathing world. More prompts I used: - Add a butterfly that flies to the branch and flies away when I mouse over it. - During the intro, first load a wireframe of the branches, similar to the field-scanning effect in Death Stranding. - Add a scan effect to the card images while they load. Then I asked it to use the shader buttons and nav bar I made in previous projects. As explained in my last video, I started with an inspiration and the prompt, “Recreate this in Three.js in a single HTML file. Self-verify until perfect.” Opus 5 ran for two hours. All the code is less than 1 MB. Inspiration: Let me know if I should open-source this.
0:31

I’m blown away by the quality of the landing pages that Opus 5 can create in Three.js. Prompting it with "orbit using mouse" is enough to create a 3D parallax effect. The same goes for "add particles to pointer." It’s like creating a living, breathing world. More prompts I used: - Add a butterfly that flies to the branch and flies away when I mouse over it. - During the intro, first load a wireframe of the branches, similar to the field-scanning effect in Death Stranding. - Add a scan effect to the card images while they load. Then I asked it to use the shader buttons and nav bar I made in previous projects. As explained in my last video, I started with an inspiration and the prompt, “Recreate this in Three.js in a single HTML file. Self-verify until perfect.” Opus 5 ran for two hours. All the code is less than 1 MB. Inspiration: Let me know if I should open-source this.

Meng To

509,345 Aufrufe • vor 5 Tagen

WARP SPEED: EPISODE 4 - starring Daksh Gupta, CEO of Greptile Daksh Gupta The core difference between human productivity and every other species? Tools. On the margin, slightly better tools create long-term efficiencies that unlock time for more important things. Daksh, Soohoon Choi , and Vaishant Kameswaran built Greptile into one of the fastest-growing AI code review platforms in the world. $25M Series A led by Benchmark . YC-backed. 16 people. 500M+ lines of code reviewed this month alone for companies like Brex, Substack, and PostHog. The insight: AI coding tools are exploding. Cursor, Claude Code, Devin. Everyone's writing more code than ever. But the systems for validating that code before it ships? Breaking down. Greptile is the independent, centralized validation layer - AI that reviews pull requests, catches bugs, enforces standards. Daksh didn't plan to start a company. He was in senior year when he realized he'd lost his way. Remembered why he chose CS in the first place: to build things. He then convinced his college roommate - "the smartest person I know" - to move to San Francisco with barely enough angel money to survive. Now they're one of the most craft-obsessed teams in SF - using Linear, Claude Code, Cursor, and Warp to ship at warp speed. In this conversation: (0:00) - From losing his way in college to moving to San Francisco (1:24) - Applying to Y Combinator and building the foundations of Greptile (2:37) - Hiring more senior than typical: arbitraging ageism in Silicon Valley (3:40) - Building a company worthy of people who could go anywhere (4:14) - The new bottleneck: producing code is worthless without validating it (4:52) - The Greptile stack: Linear, Claude Code, Cursor, Warp (5:55) - "People talked about Warp with a passion you wouldn't expect for back-office software" (6:17) - The magic of heavy automation: "I'm never in it" (6:42) - Built for engineers, not HR people: "When you're used to confusing software, simple things are just delightful" (7:46) - Scaling from 15 to 50: "Whatever will go wrong, Warp will have functionality for it" (8:55) - Discovering Warp on Twitter: "Why are people so excited about payroll?" (9:35) - "It inspires you to build more intuitive things"
10:17

WARP SPEED: EPISODE 4 - starring Daksh Gupta, CEO of Greptile Daksh Gupta The core difference between human productivity and every other species? Tools. On the margin, slightly better tools create long-term efficiencies that unlock time for more important things. Daksh, Soohoon Choi , and Vaishant Kameswaran built Greptile into one of the fastest-growing AI code review platforms in the world. $25M Series A led by Benchmark . YC-backed. 16 people. 500M+ lines of code reviewed this month alone for companies like Brex, Substack, and PostHog. The insight: AI coding tools are exploding. Cursor, Claude Code, Devin. Everyone's writing more code than ever. But the systems for validating that code before it ships? Breaking down. Greptile is the independent, centralized validation layer - AI that reviews pull requests, catches bugs, enforces standards. Daksh didn't plan to start a company. He was in senior year when he realized he'd lost his way. Remembered why he chose CS in the first place: to build things. He then convinced his college roommate - "the smartest person I know" - to move to San Francisco with barely enough angel money to survive. Now they're one of the most craft-obsessed teams in SF - using Linear, Claude Code, Cursor, and Warp to ship at warp speed. In this conversation: (0:00) - From losing his way in college to moving to San Francisco (1:24) - Applying to Y Combinator and building the foundations of Greptile (2:37) - Hiring more senior than typical: arbitraging ageism in Silicon Valley (3:40) - Building a company worthy of people who could go anywhere (4:14) - The new bottleneck: producing code is worthless without validating it (4:52) - The Greptile stack: Linear, Claude Code, Cursor, Warp (5:55) - "People talked about Warp with a passion you wouldn't expect for back-office software" (6:17) - The magic of heavy automation: "I'm never in it" (6:42) - Built for engineers, not HR people: "When you're used to confusing software, simple things are just delightful" (7:46) - Scaling from 15 to 50: "Whatever will go wrong, Warp will have functionality for it" (8:55) - Discovering Warp on Twitter: "Why are people so excited about payroll?" (9:35) - "It inspires you to build more intuitive things"

Ayush S

27,984 Aufrufe • vor 8 Monaten

Borderlands 4 Performance Summary in 2 minutes: 0:00 - Native Res Badass Settings the game runs bad 0:30 - Upscaling Performance Mode Badass Settings, the game barely manages to hit 60FPS 1:20 - Frame Gen turned on and now you have 100 FPS Some people will turn all these settings on and be happy with it but in my honest opinion these are used as crutches to make the game look as if it performs good. Borderlands 4 has a certain art style that doesn't look like it needs these kind of settings to be turned on to play at a high framerate but sadly it does and you can defend this if you want but the future of gaming looks bleak, using this tech to not optimize the games further will just result in input latency increase as every game will be delivered with frame-gen turned on in the devs mind.
1:53

Borderlands 4 Performance Summary in 2 minutes: 0:00 - Native Res Badass Settings the game runs bad 0:30 - Upscaling Performance Mode Badass Settings, the game barely manages to hit 60FPS 1:20 - Frame Gen turned on and now you have 100 FPS Some people will turn all these settings on and be happy with it but in my honest opinion these are used as crutches to make the game look as if it performs good. Borderlands 4 has a certain art style that doesn't look like it needs these kind of settings to be turned on to play at a high framerate but sadly it does and you can defend this if you want but the future of gaming looks bleak, using this tech to not optimize the games further will just result in input latency increase as every game will be delivered with frame-gen turned on in the devs mind.

NikTek

359,686 Aufrufe • vor 11 Monaten

18/18 And lastly, check out the video below from our founder James Ingallinera to learn more about Frontier Valley and its mission. It’s time to wake up, and to fight. Apply now at 0:00 - Introducing Frontier Valley: A Whole New, Self-Contained Silicon Valley 2.0 1:20 - The 5 Core Advantages Of This New Frontier Tech Acceleration District 2:20 - A Look At The Amenities, Offerings & Renderings Of Frontier Valley 3:40 - Advantage #1: Independent, Federal Jurisdiction In Central Silicon Valley 4:21 - Advantage #2: The USA's Most Expedited Regulatory Code For Deep Tech 5:57 - Advantage #3: World-Class Security Infrastructure For Highly Sensitive Tech 6:35 - Advantage #4: A One-Of-A-Kind Culture For Radical Moonshots & Freedom 7:49 - Advantage #5: A Template For Post-AGI Cities That Truly Improve Human Life And Sovereignty 9:24 - Call To Action For Trump Admin: Execute Our EO Draft To Unlock This New District 9:49 - The 3 Key Provisions Needed In The EO To Make This Zone Happen 11:57 - A Closing Rallying Cry And Call To Action: Join Our Historic Movement Today
13:54

18/18 And lastly, check out the video below from our founder James Ingallinera to learn more about Frontier Valley and its mission. It’s time to wake up, and to fight. Apply now at 0:00 - Introducing Frontier Valley: A Whole New, Self-Contained Silicon Valley 2.0 1:20 - The 5 Core Advantages Of This New Frontier Tech Acceleration District 2:20 - A Look At The Amenities, Offerings & Renderings Of Frontier Valley 3:40 - Advantage #1: Independent, Federal Jurisdiction In Central Silicon Valley 4:21 - Advantage #2: The USA's Most Expedited Regulatory Code For Deep Tech 5:57 - Advantage #3: World-Class Security Infrastructure For Highly Sensitive Tech 6:35 - Advantage #4: A One-Of-A-Kind Culture For Radical Moonshots & Freedom 7:49 - Advantage #5: A Template For Post-AGI Cities That Truly Improve Human Life And Sovereignty 9:24 - Call To Action For Trump Admin: Execute Our EO Draft To Unlock This New District 9:49 - The 3 Key Provisions Needed In The EO To Make This Zone Happen 11:57 - A Closing Rallying Cry And Call To Action: Join Our Historic Movement Today

Frontier Valley

15,293 Aufrufe • vor 1 Jahr

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:
1:10

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:

ZEUS⚡️

50,596 Aufrufe • vor 2 Monaten

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:
1:06

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:

AI4Bharat

28,681 Aufrufe • vor 1 Jahr