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windfoil — a new algorithm, practically one-shotted by Fable in a ~1 hr long uninterrupted session. achieves analytic anti-aliasing for quadratic curves in a fragment shader. builds upon the Slug Algorithm, computing winding integral over a single band axis rather than dual-ray

Matt DesLauriers

61,471 subscribers

54,108 次观看 • 1 个月前 •via X (Twitter)

艺术教育科学技术

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Fable basically one-shotted a new coverage algorithm that improves upon Slug... here is a single draw call, just instanced quads operating on analytic curves, no MSAA, perfect AA at any resolution, more accurate than Slug and only casts a single ray rather than two

Fable basically one-shotted a new coverage algorithm that improves upon Slug... here is a single draw call, just instanced quads operating on analytic curves, no MSAA, perfect AA at any resolution, more accurate than Slug and only casts a single ray rather than two

Matt DesLauriers

42,729 次观看 • 1 个月前

𝗞-𝗺𝗲𝗮𝗻𝘀 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗚𝗣𝗨𝘀 𝗶𝘀𝗻’𝘁. That’s why we built Flash-KMeans — an IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. By attacking the memory bottlenecks directly, Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS — with the same exact algorithm, just engineered for today’s hardware. At the million-scale, Flash-KMeans can complete a k-means iteration in milliseconds. A classic algorithm — redesigned for modern GPUs. Paper: Code:

𝗞-𝗺𝗲𝗮𝗻𝘀 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲. 𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗳𝗮𝘀𝘁 𝗼𝗻 𝗚𝗣𝗨𝘀 𝗶𝘀𝗻’𝘁. That’s why we built Flash-KMeans — an IO-aware implementation of exact k-means that rethinks the algorithm around modern GPU bottlenecks. By attacking the memory bottlenecks directly, Flash-KMeans achieves 30x speedup over cuML and 200x speedup over FAISS — with the same exact algorithm, just engineered for today’s hardware. At the million-scale, Flash-KMeans can complete a k-means iteration in milliseconds. A classic algorithm — redesigned for modern GPUs. Paper: Code:

Haocheng Xi

308,300 次观看 • 4 个月前

In 1918 the Holt Manufacturing Company in California put together the HA 36, a miniature one-man tank that looked like a scaled-down British rhomboid. It weighed roughly 2,000 to 3,000 pounds, measured about 8 feet long by 5 feet wide, and was smaller than a Model T Ford. The single driver climbed in through a top hatch and steered a vehicle whose side sponsons and front “gun” were dummies—the forward tube was simply the engine exhaust. Built as a promotional demonstrator rather than a fighting machine, it generated newspaper claims that fleets of the little tanks would soon ship to France, yet only the one example ever existed. 👀

In 1918 the Holt Manufacturing Company in California put together the HA 36, a miniature one-man tank that looked like a scaled-down British rhomboid. It weighed roughly 2,000 to 3,000 pounds, measured about 8 feet long by 5 feet wide, and was smaller than a Model T Ford. The single driver climbed in through a top hatch and steered a vehicle whose side sponsons and front “gun” were dummies—the forward tube was simply the engine exhaust. Built as a promotional demonstrator rather than a fighting machine, it generated newspaper claims that fleets of the little tanks would soon ship to France, yet only the one example ever existed. 👀

Aviation Archive - Tim Farmer

61,478 次观看 • 8 天前

In Silent Bomber for the PS1, the protagonist Jutah Fate doesn't have a single gun; instead, he creates "interlock" explosions by tagging enemies with liquid-explosive spheres. The game's engine was so optimized for its time that it could handle dozens of simultaneous chain-reaction explosions without the framerate chugging, a massive technical feat for 1999! 💣💥 Pro Tip The Secret of S-Ranks: If you want to reach the top tier, stop spamming bombs. The game rewards "Efficiency" and "Technique," meaning you get more points for tagging multiple enemies and detonating them in a single, massive chain reaction rather than blowing them up one by one.

In Silent Bomber for the PS1, the protagonist Jutah Fate doesn't have a single gun; instead, he creates "interlock" explosions by tagging enemies with liquid-explosive spheres. The game's engine was so optimized for its time that it could handle dozens of simultaneous chain-reaction explosions without the framerate chugging, a massive technical feat for 1999! 💣💥 Pro Tip The Secret of S-Ranks: If you want to reach the top tier, stop spamming bombs. The game rewards "Efficiency" and "Technique," meaning you get more points for tagging multiple enemies and detonating them in a single, massive chain reaction rather than blowing them up one by one.

Pixel Cherry Ninja

10,439 次观看 • 5 个月前

#EOS Hard fork complete Spring 1.0 is a landmark moment for the blockchain industry, with the Savanna consensus algorithm introducing Instant Finality in just 2 blocks, or 1 second. This breakthrough delivers unparalleled transaction speed, reliability, and security, thanks to cutting-edge BLS cryptographic advancements. By offering a faster, more secure infrastructure, EOS is paving the way for next-generation decentralized applications and systems to thrive at an entirely new scale.

#EOS Hard fork complete Spring 1.0 is a landmark moment for the blockchain industry, with the Savanna consensus algorithm introducing Instant Finality in just 2 blocks, or 1 second. This breakthrough delivers unparalleled transaction speed, reliability, and security, thanks to cutting-edge BLS cryptographic advancements. By offering a faster, more secure infrastructure, EOS is paving the way for next-generation decentralized applications and systems to thrive at an entirely new scale.

Yves La Rose

75,273 次观看 • 1 年前

A SOLO CREATOR JUST SHIPPED A $35,000-TIER ANIMATED SITE IN ONE WEEKEND - WITH CLAUDE CODE + HIGGSFIELD, FOR THE COST OF A SUBSCRIPTION. What you're looking at isn't a template. It's a fully animated, scroll-driven site, generated end to end in a single agentic session. What's actually on the page: → Cinematic motion clips pulled from 30+ generative models → Scroll animations written automatically - not a single hand-coded keyframe → 6 cinematic effects baked in with zero config: film grain, particles, vignette, glass cards, color tints, scroll pacing Scroll the demo and one question keeps surfacing: a person didn't build this by hand… did they? For studios billing $100-149/hr, that question lands like a verdict. What this normally takes: → A designer, a motion artist, and a developer → Weeks of handoffs between all three → 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy That pipeline was the moat. It's what justified the invoice. Here's the part the agency won't put in its pitch deck. The price gap: → Boutique agency build: $6,000-$35,000+ → Industry average project: ~$5,280 → Your cost: a Claude subscription + a few dollars of Higgsfield credits → Timeline: weeks of production → one session One operator now runs all six systems in a single pass and ships a working site - without opening a frame extractor or writing one CSS keyframe. Full breakdown of how it's built in the article below. Save it & read today 👇

A SOLO CREATOR JUST SHIPPED A $35,000-TIER ANIMATED SITE IN ONE WEEKEND - WITH CLAUDE CODE + HIGGSFIELD, FOR THE COST OF A SUBSCRIPTION. What you're looking at isn't a template. It's a fully animated, scroll-driven site, generated end to end in a single agentic session. What's actually on the page: → Cinematic motion clips pulled from 30+ generative models → Scroll animations written automatically - not a single hand-coded keyframe → 6 cinematic effects baked in with zero config: film grain, particles, vignette, glass cards, color tints, scroll pacing Scroll the demo and one question keeps surfacing: a person didn't build this by hand… did they? For studios billing $100-149/hr, that question lands like a verdict. What this normally takes: → A designer, a motion artist, and a developer → Weeks of handoffs between all three → 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy That pipeline was the moat. It's what justified the invoice. Here's the part the agency won't put in its pitch deck. The price gap: → Boutique agency build: $6,000-$35,000+ → Industry average project: ~$5,280 → Your cost: a Claude subscription + a few dollars of Higgsfield credits → Timeline: weeks of production → one session One operator now runs all six systems in a single pass and ships a working site - without opening a frame extractor or writing one CSS keyframe. Full breakdown of how it's built in the article below. Save it & read today 👇

ZEUS⚡️

21,598 次观看 • 1 个月前

Dear Andrej Karpathy, Update on this. Earlier this month The Innovation Game (𝔦, 𝔦) announced a new SOTA routing algorithm had been collaboratively developed and submitted to The Innovation Game. The algorithm demonstrated the largest single perfomance jump in the modern history of the field on standard academic benchmarks: This success is a powerful proof of concept. I believe the wider implications will also interest you. As you know, the "Source" in AI is algorithms and data. These algorithms are typically for "hard to solve but easy to verify" problems. Remarkably, this allows the creation of a market for pricing improvements to these algorithms (roughly, the market is created by "racing" the algorithms, to see which can produce proof-of-work fastest). Availability of a market mechanism means open development of the algorithms can be funded by capturing a portion of the value they generate, and allocating it back to algorithm developers. The allocation is efficient, naturally integrating information (such as hardware availability) through revealed preferences. Importantly, market allocation is also "impersonal", which mitigates the risk to community cohesion that has historically afflicted Open Source projects offering monetary reward. Note: That a market for pricing code could extend Open Source to areas requiring monetary reward was (as far as I know) first suggested by Eric Raymond in 1999 Eric S. Raymond : Conclusion: The structure of Open Source AI means it can operate commercially. For example, value captured via Open Source "dual licensing", with allocation of the value by a market generated by proof-of-work. I'd love to hear your thoughts on this. Please see for more detail.

Dear Andrej Karpathy, Update on this. Earlier this month The Innovation Game (𝔦, 𝔦) announced a new SOTA routing algorithm had been collaboratively developed and submitted to The Innovation Game. The algorithm demonstrated the largest single perfomance jump in the modern history of the field on standard academic benchmarks: This success is a powerful proof of concept. I believe the wider implications will also interest you. As you know, the "Source" in AI is algorithms and data. These algorithms are typically for "hard to solve but easy to verify" problems. Remarkably, this allows the creation of a market for pricing improvements to these algorithms (roughly, the market is created by "racing" the algorithms, to see which can produce proof-of-work fastest). Availability of a market mechanism means open development of the algorithms can be funded by capturing a portion of the value they generate, and allocating it back to algorithm developers. The allocation is efficient, naturally integrating information (such as hardware availability) through revealed preferences. Importantly, market allocation is also "impersonal", which mitigates the risk to community cohesion that has historically afflicted Open Source projects offering monetary reward. Note: That a market for pricing code could extend Open Source to areas requiring monetary reward was (as far as I know) first suggested by Eric Raymond in 1999 Eric S. Raymond : Conclusion: The structure of Open Source AI means it can operate commercially. For example, value captured via Open Source "dual licensing", with allocation of the value by a market generated by proof-of-work. I'd love to hear your thoughts on this. Please see for more detail.

John Fletcher (𝔦, 𝔦)

37,640 次观看 • 15 天前

Together with College World Series of Omaha, we're counting down the days to the 2026 Men's College World Series by highlighting the Top 30 Moments in MCWS history. For today's moment, we take you back to game one of the 1973 MCWS, with Minnesota Baseball's Dave Winfield striking out 14 in a 1-0 victory over Oklahoma. In Minnesota's 1973 trip to Omaha, Winfield would go on to pitch 17.3 innings over two starts, striking out 29 and allowing just a single earned run...but more on that tomorrow! Check back in daily for a new Top MCWS Moment!

Together with College World Series of Omaha, we're counting down the days to the 2026 Men's College World Series by highlighting the Top 30 Moments in MCWS history. For today's moment, we take you back to game one of the 1973 MCWS, with Minnesota Baseball's Dave Winfield striking out 14 in a 1-0 victory over Oklahoma. In Minnesota's 1973 trip to Omaha, Winfield would go on to pitch 17.3 innings over two starts, striking out 29 and allowing just a single earned run...but more on that tomorrow! Check back in daily for a new Top MCWS Moment!

D1Baseball

17,782 次观看 • 2 个月前

Fable 5 totally crushed our new contest, but it cost 6x more than Opus 4.8! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: — A train derailing off a broken bridge into the water — Two cars jumping off ramps and colliding mid-air over a canyon — A monster truck crushing a row of parked cars Outputs: Fable 5: 62,158 tokens, $3.12 GPT 5.5: 37,753 tokens, $1.14 Opus 4.8: 22,280 tokens, $0.56 GLM 5.2: 36,246 tokens, $0.08 Fable 5 did all three scenes at A+. The crashes looked real, things fell and broke the right way, and nothing went through the ground or floated. GPT 5.5 was the closest to Fable. In the Bigfoot show, we think GPT was even a little better. GLM 5.2 did not win any scene, but it was the cheapest by far. Fable is the best pick for quality, but you pay more for it.

Fable 5 totally crushed our new contest, but it cost 6x more than Opus 4.8! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: — A train derailing off a broken bridge into the water — Two cars jumping off ramps and colliding mid-air over a canyon — A monster truck crushing a row of parked cars Outputs: Fable 5: 62,158 tokens, $3.12 GPT 5.5: 37,753 tokens, $1.14 Opus 4.8: 22,280 tokens, $0.56 GLM 5.2: 36,246 tokens, $0.08 Fable 5 did all three scenes at A+. The crashes looked real, things fell and broke the right way, and nothing went through the ground or floated. GPT 5.5 was the closest to Fable. In the Bigfoot show, we think GPT was even a little better. GLM 5.2 did not win any scene, but it was the cheapest by far. Fable is the best pick for quality, but you pay more for it.

atomic.chat

2,837,500 次观看 • 1 个月前

We’ve been looking for alien life the wrong way. For decades the search has been simple: find one planet, look for signs of biology. Oxygen. Methane. Water. A biosignature. One problem. We haven’t found anything. Researchers in Japan just proposed something different. Don’t look at single planets. Look at patterns across thousands of them. The idea: if life spreads between star systems, it leaves a statistical fingerprint. Not on any one world. Across all of them. Like looking for a forest by studying the distribution of trees across a continent rather than examining one leaf. We may have been staring at the leaves for 60 years. Gandalv / Gandalv

We’ve been looking for alien life the wrong way. For decades the search has been simple: find one planet, look for signs of biology. Oxygen. Methane. Water. A biosignature. One problem. We haven’t found anything. Researchers in Japan just proposed something different. Don’t look at single planets. Look at patterns across thousands of them. The idea: if life spreads between star systems, it leaves a statistical fingerprint. Not on any one world. Across all of them. Like looking for a forest by studying the distribution of trees across a continent rather than examining one leaf. We may have been staring at the leaves for 60 years. Gandalv / Gandalv

Gandalv

35,907 次观看 • 3 个月前

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

MrNeRF

35,832 次观看 • 10 个月前

STUDIOS QUOTE $35,000 FOR THIS WEBSITE. A FULLY ANIMATED, SCROLL-DRIVEN BUILD - CINEMATIC CLIPS, FILM GRAIN, GLASS CARDS - SHIPPED IN ONE SESSION FOR $12. Scroll it and one question won't leave: did an AI really assemble all of this in a single pass? For studios quoting $35,000 and billing $100-149/hr, that question lands like a verdict. Here's what the page actually runs: → Motion clips generated from 30+ models - not stock, not hand-shot → Scroll animations written automatically - zero hand-coded keyframes → Six cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing What that used to require: → A designer, a motion artist, and a developer → Weeks of handoffs → Six systems wired by hand - GSAP ScrollTrigger, Lenis, frame extraction, asset optimization, layout, copy That pipeline was the moat. It justified the invoice. It just collapsed into Claude Code + Higgsfield running in one pass. The gap nobody wants to say out loud: → Agency build: $6,000-$35,000+ → Real cost now: a Claude sub + a few dollars of credits → Timeline: weeks → a single session Follow me + reply "web-site" to this post and I will send you the step-by-step Playbook 👇

STUDIOS QUOTE $35,000 FOR THIS WEBSITE. A FULLY ANIMATED, SCROLL-DRIVEN BUILD - CINEMATIC CLIPS, FILM GRAIN, GLASS CARDS - SHIPPED IN ONE SESSION FOR $12. Scroll it and one question won't leave: did an AI really assemble all of this in a single pass? For studios quoting $35,000 and billing $100-149/hr, that question lands like a verdict. Here's what the page actually runs: → Motion clips generated from 30+ models - not stock, not hand-shot → Scroll animations written automatically - zero hand-coded keyframes → Six cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing What that used to require: → A designer, a motion artist, and a developer → Weeks of handoffs → Six systems wired by hand - GSAP ScrollTrigger, Lenis, frame extraction, asset optimization, layout, copy That pipeline was the moat. It justified the invoice. It just collapsed into Claude Code + Higgsfield running in one pass. The gap nobody wants to say out loud: → Agency build: $6,000-$35,000+ → Real cost now: a Claude sub + a few dollars of credits → Timeline: weeks → a single session Follow me + reply "web-site" to this post and I will send you the step-by-step Playbook 👇

ZEUS⚡️

56,961 次观看 • 1 个月前

Fable 5 just dropped and someone already built a $10k-looking website with it. Here's the full workflow The smooth scrolling, the animations, the transitions, all built with Fable 5. Here's how to get the same result instead of a generic template. 1. Steal a direction first. Go to Mobbin or Godly and find a site whose feel you love. Screenshot it. Fable copies a vibe far better than it invents one. 2. Grab real components. Pull animation-ready blocks from Aceternity UI or Magic UI. These are built for exactly this look (scroll reveals, parallax, gradients). 3. Prompt Fable with all of it. Switch to Fable 5 in Claude Code, drop in your screenshots and the component references, and describe the sections and scroll behavior you want. Let it plan before it builds. 4. Animate with the right tools. Tell it to use GSAP with ScrollTrigger for scroll effects, or Framer Motion for React. This is what separates "nice" from "$10k." 5. Iterate on feel, not code. Preview it, then give Fable specific notes ("slower fade, more spacing on mobile") until it lands. Bookmark this

Fable 5 just dropped and someone already built a $10k-looking website with it. Here's the full workflow The smooth scrolling, the animations, the transitions, all built with Fable 5. Here's how to get the same result instead of a generic template. 1. Steal a direction first. Go to Mobbin or Godly and find a site whose feel you love. Screenshot it. Fable copies a vibe far better than it invents one. 2. Grab real components. Pull animation-ready blocks from Aceternity UI or Magic UI. These are built for exactly this look (scroll reveals, parallax, gradients). 3. Prompt Fable with all of it. Switch to Fable 5 in Claude Code, drop in your screenshots and the component references, and describe the sections and scroll behavior you want. Let it plan before it builds. 4. Animate with the right tools. Tell it to use GSAP with ScrollTrigger for scroll effects, or Framer Motion for React. This is what separates "nice" from "$10k." 5. Iterate on feel, not code. Preview it, then give Fable specific notes ("slower fade, more spacing on mobile") until it lands. Bookmark this

Fokki

72,175 次观看 • 1 个月前

To finish the series: - Deterministic chain-seeded genetic computation. We ran a chain-seeded genetic optimiser for 32 generations and proved every single step in zero-knowledge, then folded all 32 proofs into one. The whole lineage verifies on Kaspa in a single transaction, post-quantum. You can open the tx and check it yourself. What it is: a tiny program, an evolutionary search over a 16-value genome , that mutates and selects for a lower-cost circuit design, seeded by the Kaspa chain. Over 32 generations it drove its target circuit's scored constraint count down (best target ~72 → ~50; trending down, though it's a sawtooth it rotates through three circuit types). The part that matters: every one of those 32 steps ran inside a zero-knowledge VM and was proven correct a step that didn't compute correctly simply won't verify. Then all 32 step-proofs were folded into ONE. That proof is 222 KB exactly the size of a single step, and it stays that size no matter how many generations you add. (The catch, stated plainly: folding more generations costs the prover more time; only the final proof size is constant.) Kaspa verified the entire 32-generation lineage in one transaction: 7504fa32f74aa028301290299276a707cf98ffc2766b1be0daed4c5c41883f15. Flip a single byte of the proof and the network rejects it, we tried; it's rejected. And the verification path is post-quantum: hash-based the whole way (FRI/Poseidon2 + SHA-256), no elliptic curves or pairings anywhere nothing Shor's algorithm targets.* What this is and isn't: It's a feasibility experiment on testnet. It's deterministic, chain-seeded genetic computation not AI, not intelligence. We drive each step and proved a fixed lineage we chose; it does not yet run itself on-chain (that's the next build). The core, though, is real and checkable: a program's entire computational lineage 32 generations proven correct, post-quantum, verified by Kaspa in a single shot. *STARK security rests on hash assumptions plus the Fiat-Shamir heuristic, not on any pre-quantum hardness.

To finish the series: - Deterministic chain-seeded genetic computation. We ran a chain-seeded genetic optimiser for 32 generations and proved every single step in zero-knowledge, then folded all 32 proofs into one. The whole lineage verifies on Kaspa in a single transaction, post-quantum. You can open the tx and check it yourself. What it is: a tiny program, an evolutionary search over a 16-value genome , that mutates and selects for a lower-cost circuit design, seeded by the Kaspa chain. Over 32 generations it drove its target circuit's scored constraint count down (best target ~72 → ~50; trending down, though it's a sawtooth it rotates through three circuit types). The part that matters: every one of those 32 steps ran inside a zero-knowledge VM and was proven correct a step that didn't compute correctly simply won't verify. Then all 32 step-proofs were folded into ONE. That proof is 222 KB exactly the size of a single step, and it stays that size no matter how many generations you add. (The catch, stated plainly: folding more generations costs the prover more time; only the final proof size is constant.) Kaspa verified the entire 32-generation lineage in one transaction: 7504fa32f74aa028301290299276a707cf98ffc2766b1be0daed4c5c41883f15. Flip a single byte of the proof and the network rejects it, we tried; it's rejected. And the verification path is post-quantum: hash-based the whole way (FRI/Poseidon2 + SHA-256), no elliptic curves or pairings anywhere nothing Shor's algorithm targets.* What this is and isn't: It's a feasibility experiment on testnet. It's deterministic, chain-seeded genetic computation not AI, not intelligence. We drive each step and proved a fixed lineage we chose; it does not yet run itself on-chain (that's the next build). The core, though, is real and checkable: a program's entire computational lineage 32 generations proven correct, post-quantum, verified by Kaspa in a single shot. *STARK security rests on hash assumptions plus the Fiat-Shamir heuristic, not on any pre-quantum hardness.

Kaspa Kii

20,730 次观看 • 1 个月前

A WEB STUDIO CHARGES $35,000 FOR AN ANIMATED SITE. THE SAME BUILD NOW COSTS $12 - CLAUDE CODE WRITES, HIGGSFIELD RENDERS. Every agency billing $100-149/hr is just three departments. Here's each one, collapsed into a single agentic session. SYSTEM 1 - THE MOTION STUDIO (Higgsfield) Cinematic clips pulled from 30+ generative models - hero shots, transitions, ambient loops. → This used to be a motion artist on retainer. Now it's a prompt. SYSTEM 2 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. SYSTEM 3 - THE DESIGN DEPT (baked-in cinematic layer) Six effects with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. Three departments. One operator. One pass. What used to take a designer, a motion artist, and a developer through weeks of handoffs now runs in a single session - for a Claude subscription and a few dollars of Higgsfield credits. The studio was never the talent. It was the overhead. And the overhead just became three systems. Reply "web-site" to this post and I will send you the step-by-step Playbook 👇

A WEB STUDIO CHARGES $35,000 FOR AN ANIMATED SITE. THE SAME BUILD NOW COSTS $12 - CLAUDE CODE WRITES, HIGGSFIELD RENDERS. Every agency billing $100-149/hr is just three departments. Here's each one, collapsed into a single agentic session. SYSTEM 1 - THE MOTION STUDIO (Higgsfield) Cinematic clips pulled from 30+ generative models - hero shots, transitions, ambient loops. → This used to be a motion artist on retainer. Now it's a prompt. SYSTEM 2 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. SYSTEM 3 - THE DESIGN DEPT (baked-in cinematic layer) Six effects with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. Three departments. One operator. One pass. What used to take a designer, a motion artist, and a developer through weeks of handoffs now runs in a single session - for a Claude subscription and a few dollars of Higgsfield credits. The studio was never the talent. It was the overhead. And the overhead just became three systems. Reply "web-site" to this post and I will send you the step-by-step Playbook 👇

ZEUS⚡️

173,538 次观看 • 1 个月前

THIS GUY JUST REBUILT A $35,000 ANIMATED SITE FOR $12. IF YOU RUN A WEB STUDIO, YOU SHOULD PROBABLY KEEP SCROLLING. Every agency billing $100-149/hr is selling you five departments wearing one invoice. Here’s each one - collapsed into a single agentic session. LAYER 1 - THE CONCEPT ROOM (Claude) Reads the brief, pulls references, and scripts the scroll: what the visitor feels at second 3, second 15, second 40. → Used to be a strategist and a wall of mood boards. Now it’s a conversation. LAYER 2 - THE MOTION STUDIO (Higgsfield) Cinematic clips from 30+ generative models - hero shots, transitions, ambient loops - all matched to the story from Layer 1. → Used to be a motion artist on retainer. Now it’s a prompt. LAYER 3 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. LAYER 4 - THE DESIGN DEPT (baked-in cinematic layer) Six effects, zero config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. LAYER 5 - THE QA PASS (Claude) Checks load speed, mobile breakpoints, and whether the scroll actually lands - then rewrites whatever doesn’t. → Used to be a client call and a revision cycle. Now it’s one more turn in the same session. Five departments. One operator. One pass. A strategist, a motion artist, a developer, a designer, and a QA lead - weeks of handoffs - now run in a single session. For a Claude subscription and a few dollars of Higgsfield credits. The studio was never selling talent. It was selling overhead. And the overhead just became five layers. Follow me, reply “website” to this post and I will send you the step-by-step Playbook 👇

THIS GUY JUST REBUILT A $35,000 ANIMATED SITE FOR $12. IF YOU RUN A WEB STUDIO, YOU SHOULD PROBABLY KEEP SCROLLING. Every agency billing $100-149/hr is selling you five departments wearing one invoice. Here’s each one - collapsed into a single agentic session. LAYER 1 - THE CONCEPT ROOM (Claude) Reads the brief, pulls references, and scripts the scroll: what the visitor feels at second 3, second 15, second 40. → Used to be a strategist and a wall of mood boards. Now it’s a conversation. LAYER 2 - THE MOTION STUDIO (Higgsfield) Cinematic clips from 30+ generative models - hero shots, transitions, ambient loops - all matched to the story from Layer 1. → Used to be a motion artist on retainer. Now it’s a prompt. LAYER 3 - THE DEV TEAM (Claude Code) Scaffolds the site, writes the GSAP ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. → A full scroll-driven build with zero hand-coded keyframes. LAYER 4 - THE DESIGN DEPT (baked-in cinematic layer) Six effects, zero config: film grain, particles, vignette, glass cards, color tints, scroll pacing. → The polish that justified the invoice - now it ships by default. LAYER 5 - THE QA PASS (Claude) Checks load speed, mobile breakpoints, and whether the scroll actually lands - then rewrites whatever doesn’t. → Used to be a client call and a revision cycle. Now it’s one more turn in the same session. Five departments. One operator. One pass. A strategist, a motion artist, a developer, a designer, and a QA lead - weeks of handoffs - now run in a single session. For a Claude subscription and a few dollars of Higgsfield credits. The studio was never selling talent. It was selling overhead. And the overhead just became five layers. Follow me, reply “website” to this post and I will send you the step-by-step Playbook 👇

ZEUS⚡️

141,226 次观看 • 1 个月前

🚨TikTok spends $2,000,000,000 a year on the algorithm that predicts what goes viral before you see it. a 19-year-old built his own version for $50 a month and made $11,900 from it last month. he tracks 40 channels in one Google Sheet, scores every outlier against the channel's own median, and feeds the top patterns to Claude. > Claude extracts the format and writes the shot list: 20 minutes > CapCut builds the vertical: 40 minutes > Make publishes to every platform and logs the result: automatic $50/month in tools. 4 hours to set up. runs every day since. most channels post first and hope. he checks what already won, then points it at a new subject. full breakdown of the scoring method below.

🚨TikTok spends $2,000,000,000 a year on the algorithm that predicts what goes viral before you see it. a 19-year-old built his own version for $50 a month and made $11,900 from it last month. he tracks 40 channels in one Google Sheet, scores every outlier against the channel's own median, and feeds the top patterns to Claude. > Claude extracts the format and writes the shot list: 20 minutes > CapCut builds the vertical: 40 minutes > Make publishes to every platform and logs the result: automatic $50/month in tools. 4 hours to set up. runs every day since. most channels post first and hope. he checks what already won, then points it at a new subject. full breakdown of the scoring method below.

Mura

90,393 次观看 • 25 天前

THIS SITE COST AROUND $12 IN CREDITS TO BUILD. STUDIOS QUOTE $35,000 FOR THE SAME THING. What's on screen isn't a basic landing page. It's a fully animated, scroll-driven site, generated end to end in one agentic session with Claude Code + Higgsfield. What's actually on the page: → Cinematic motion clips pulled from 30+ generative models → Scroll animations written automatically - zero hand-coded keyframes → 6 cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing Scroll the demo and one question won't go away: did Claude really assemble all of this in a single pass? For boutique studios billing $100-149/hr, that question lands like a verdict. What it normally takes: → A designer, a motion artist, and a developer → Weeks of handoffs between them → 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy That pipeline was the moat. It's what justified the invoice. Here's the part studios and their clients won't enjoy hearing. The price gap: → Boutique agency build: $6,000-$35,000+ → Industry average project: ~$5,280 → Delivery cost: a Claude subscription + a few dollars of Higgsfield credits → Timeline: weeks of production → a single session One operator can now run all six systems in one pass and ship a working site - without touching a frame extractor or writing a CSS keyframe by hand. Full breakdown of how it's built in the article below. Save it & read today 👇

THIS SITE COST AROUND $12 IN CREDITS TO BUILD. STUDIOS QUOTE $35,000 FOR THE SAME THING. What's on screen isn't a basic landing page. It's a fully animated, scroll-driven site, generated end to end in one agentic session with Claude Code + Higgsfield. What's actually on the page: → Cinematic motion clips pulled from 30+ generative models → Scroll animations written automatically - zero hand-coded keyframes → 6 cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing Scroll the demo and one question won't go away: did Claude really assemble all of this in a single pass? For boutique studios billing $100-149/hr, that question lands like a verdict. What it normally takes: → A designer, a motion artist, and a developer → Weeks of handoffs between them → 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy That pipeline was the moat. It's what justified the invoice. Here's the part studios and their clients won't enjoy hearing. The price gap: → Boutique agency build: $6,000-$35,000+ → Industry average project: ~$5,280 → Delivery cost: a Claude subscription + a few dollars of Higgsfield credits → Timeline: weeks of production → a single session One operator can now run all six systems in one pass and ship a working site - without touching a frame extractor or writing a CSS keyframe by hand. Full breakdown of how it's built in the article below. Save it & read today 👇

ZEUS⚡️

480,013 次观看 • 1 个月前

#WARRIORSAbyss - Update 4 New Character 3: Momiji Her Unique Strategy "Heaven Breaker" increases attack power by 5% for each "Speed" emblem. It is expected to perform well in "Speed" builds around strengthened "Speed" emblems. Momiji's Player Hero Trait: Increases the number of heroes shown by the Crystal Saplings by +1 during gameplay. After you use Transcendence on her, she gains the "Flower of War" emblem and a trait that restores 10% health upon entering an area, allowing a stable strategy to be achievable.

#WARRIORSAbyss - Update 4 New Character 3: Momiji Her Unique Strategy "Heaven Breaker" increases attack power by 5% for each "Speed" emblem. It is expected to perform well in "Speed" builds around strengthened "Speed" emblems. Momiji's Player Hero Trait: Increases the number of heroes shown by the Crystal Saplings by +1 during gameplay. After you use Transcendence on her, she gains the "Flower of War" emblem and a trait that restores 10% health upon entering an area, allowing a stable strategy to be achievable.

KOEI TECMO AMERICA

19,206 次观看 • 1 年前

🧮Turn single image into a custom LoRA model in one click ! Should work for character and product ! This ComfyUI workflow: → Uses Gemini AI to generate 20 diverse prompts from your image → Creates 20 consistent variations with FLUX.1 Kontext → Automatically builds the dataset + trains the LoRA One image in → Trained LoRA out 🎯 #ComfyUI #LoRA #AIArt #FLUX #AutomatedAI ComfyUI BlackForestLabsAI - Unofficial 🔗 Check it out: This workflow was made for the hackathon organized by ComfyUI in SF yesterday

🧮Turn single image into a custom LoRA model in one click ! Should work for character and product ! This ComfyUI workflow: → Uses Gemini AI to generate 20 diverse prompts from your image → Creates 20 consistent variations with FLUX.1 Kontext → Automatically builds the dataset + trains the LoRA One image in → Trained LoRA out 🎯 #ComfyUI #LoRA #AIArt #FLUX #AutomatedAI ComfyUI BlackForestLabsAI - Unofficial 🔗 Check it out: This workflow was made for the hackathon organized by ComfyUI in SF yesterday

Lovis Odin

69,609 次观看 • 1 年前