Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

All the models are solid at Three.js in Cursor. It mostly comes down to speed and style preference. Composer 2 finished first by a mile and even made the trees sway in the wind. Opus 4.6 felt most game-like. GPT-5.4 had the most detailed UFO and terrain but took... show more

edwin

27,923 subscribers

100,690 просмотров • 2 месяцев назад •via X (Twitter)

Игры Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.

Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.

Dev Ed

279,565 просмотров • 3 месяцев назад

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

After a weekend of testing and working on something with GPT-5.3-Codex & Opus 4.6, ChatGPT Pro + Claude Max 5x are still the best combo in my opinion Using Codex & Claude Code CLI running in tmux (the desktop apps are still a bit buggy) and they're accessible even on the go from iPhone with Termius (and VPN) Usually starting with GPT-5.3-Codex xhigh and Opus 4.6 in plan mode, discussing changes and options, and each writing their plans down to separate Markdown files Then letting GPT-5.3-Codex xhigh (or Opus 4.6) implement the changes as the first draft, then Opus 4.6 reviews them with a team of agents (works pretty well already with tmux even though still experimental) based on both prepared plans, fixes stuff, and then another review by GPT-5.3-Codex xhigh or vice versa Interesting that even Opus 4.6 still occasionally makes silly mistakes like wrong imports, partial or overly broad renaming of variables/functions, etc Fun fact, OpenAI apparently plans to use their Super Bowl ad to promote Codex - curious what that will look like

Tibor Blaho

29,794 просмотров • 4 месяцев назад

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.

Dev Ed

659,944 просмотров • 3 месяцев назад

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

we compared Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to Kimi K2.6, Xiaomi Mimo v2.5, and Qwen 3.6 Max in average, closed source are faster. GPT 5.5 and Opus 4.7 the fastest. Kimi K2.6 comes after. It keeps up thanks to its native INT4 quantization. MiMo took the longest, but the refinement and aesthetic only ranks after Gemini 3.1. as if a mini Gemini. Its slow cuz it's trained for long-horizon agentic work. Claude Opus 4.7 is blooming in a very different style, probably because Anthropic trains for taste, not just accuracy.

GMI Cloud

37,446 просмотров • 1 месяц назад

Average Helldivers 2 gameplay but it's animated in the style of Genndy Tartakovskys 2003 Clone Wars. All models made in blender by myself with Goo-engine, down to the weapons and automatons.

Average Helldivers 2 gameplay but it's animated in the style of Genndy Tartakovskys 2003 Clone Wars. All models made in blender by myself with Goo-engine, down to the weapons and automatons.

BNBaku

4,435,929 просмотров • 2 лет назад

I don't think there's a single terminal ux that handles agent swarms well With slate, you can literally use Opus 4.6 and GPT 5.4 at the exact same time But making it intuitive took a ton of work So heres a thread on how it works and how to actually use it 🧵

I don't think there's a single terminal ux that handles agent swarms well With slate, you can literally use Opus 4.6 and GPT 5.4 at the exact same time But making it intuitive took a ton of work So heres a thread on how it works and how to actually use it 🧵

akira

139,114 просмотров • 3 месяцев назад

Vance: Absolutely, by all means, let's take down the temperature, but if you want to take down the temperature and you are on the left of center, the first and most important thing you can do is look in the mirror.

Vance: Absolutely, by all means, let's take down the temperature, but if you want to take down the temperature and you are on the left of center, the first and most important thing you can do is look in the mirror.

Acyn

75,828 просмотров • 9 месяцев назад

What if anatomy explorers felt alive? This 3D dog, including the skeleton, organs and rig, was generated with ai and reacts to the cursor in real time with head tracking and tail movement. - Used GPT Images 2 for consistency - Omma AI for 3D generation and code using Three.js Lmk if you’d like to try it!

What if anatomy explorers felt alive? This 3D dog, including the skeleton, organs and rig, was generated with ai and reacts to the cursor in real time with head tracking and tail movement. - Used GPT Images 2 for consistency - Omma AI for 3D generation and code using Three.js Lmk if you’d like to try it!

Gábor Pribék

203,482 просмотров • 1 месяц назад

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

It's Christmas morning: OpenAI and Anthropic shipped new models on the same day! We tested GPT 5.3 Codex vs. Opus 4.6 head-to-head. Verdict: the models are converging. Here’s what we found 🧵

Every 📧

11,945 просмотров • 4 месяцев назад

Most beautiful and detailed idle in the game #WutheringWaves #鳴潮 #Cantarella

Most beautiful and detailed idle in the game #WutheringWaves #鳴潮 #Cantarella

WuWa Universe

170,248 просмотров • 1 год назад

life when you discover an open-source model that runs 300 parallel agents, executes for 12+ hours straight, beats GPT-5.4 and opus 4.6 on multiple benchmarks... and the weights are on huggingface

life when you discover an open-source model that runs 300 parallel agents, executes for 12+ hours straight, beats GPT-5.4 and opus 4.6 on multiple benchmarks... and the weights are on huggingface

J.B.

332,279 просмотров • 2 месяцев назад

Homelander's speed inconsistency in the Season 5 finale was one of the most annoying talking points for me too. Early on we see him casually yeeting to space and back in seconds, speed-blitzing people, yet in the final fight he's getting held down and can't just fly out or end it quick? It felt like they nerfed him hard for the plot. Kinda took me out of the moment. The ending was still brutal, but damn the powerscaling was all over the place.

Homelander's speed inconsistency in the Season 5 finale was one of the most annoying talking points for me too. Early on we see him casually yeeting to space and back in seconds, speed-blitzing people, yet in the final fight he's getting held down and can't just fly out or end it quick? It felt like they nerfed him hard for the plot. Kinda took me out of the moment. The ending was still brutal, but damn the powerscaling was all over the place.

PEAK

434,534 просмотров • 1 месяц назад

Smokejumpers are among the most experienced and highly trained wildland firefighters, parachuting into some of the most remote and rugged terrain to conduct initial attack firefighting. Their courage, speed, and skill make all the difference when every second counts.

Smokejumpers are among the most experienced and highly trained wildland firefighters, parachuting into some of the most remote and rugged terrain to conduct initial attack firefighting. Their courage, speed, and skill make all the difference when every second counts.

US Department of the Interior

38,777 просмотров • 10 месяцев назад

the scary movie franchise had 3 wedgies and all 3 are some of the best and most iconic #wedgie scenes in movies. i'm gay so i don't even like girl wedgies but these two are some of the few exceptions

the scary movie franchise had 3 wedgies and all 3 are some of the best and most iconic #wedgie scenes in movies. i'm gay so i don't even like girl wedgies but these two are some of the few exceptions

Wedgie Diaries

57,153 просмотров • 1 год назад

A massive UFO belonging to the Space Federation, measuring 2 km in size, has appeared at Shozan Airport in China. It appears that a secret meeting between the aliens and the Chinese government took place first.

A massive UFO belonging to the Space Federation, measuring 2 km in size, has appeared at Shozan Airport in China. It appears that a secret meeting between the aliens and the Chinese government took place first.

永倉盛照 nagakura moriteru

710,539 просмотров • 1 месяц назад

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

Dan ⚡️

250,745 просмотров • 2 месяцев назад

Open models are at the center of one of the most important shifts in AI. At #NVIDIAGTC, NVIDIA founder and CEO Jensen Huang is bringing together leaders from some of the most exciting AI companies to discuss what comes next. Featuring leaders from: Ai2, Black Forest Labs, Cursor, LangChain, Mistral AI, OpenEvidence, Perplexity, Reflection AI, Thinking Machines, and University of Washington.

Open models are at the center of one of the most important shifts in AI. At #NVIDIAGTC, NVIDIA founder and CEO Jensen Huang is bringing together leaders from some of the most exciting AI companies to discuss what comes next. Featuring leaders from: Ai2, Black Forest Labs, Cursor, LangChain, Mistral AI, OpenEvidence, Perplexity, Reflection AI, Thinking Machines, and University of Washington.

NVIDIA

48,435 просмотров • 3 месяцев назад

JoezMcfly🇩🇴 The Red Sox made me the most depressed I have ever been in my life tonight but this actually put a smile and a laugh on my face for the first time this whole game and it wasn’t even from the Red Sox, that’s how bad are offense is holy cow.

JoezMcfly🇩🇴 The Red Sox made me the most depressed I have ever been in my life tonight but this actually put a smile and a laugh on my face for the first time this whole game and it wasn’t even from the Red Sox, that’s how bad are offense is holy cow.

WW3 Monitor

70,533 просмотров • 8 месяцев назад

"ZZZ isn't made by lolicons" The devs proceed to lolify the most loli character in the game for no reason at all😭

Sensitive content

"ZZZ isn't made by lolicons" The devs proceed to lolify the most loli character in the game for no reason at all😭

BLACC

334,054 просмотров • 5 месяцев назад

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

You can make $600K. With a bot that earns $83 every hour, 24/7, no days off, 365 days straight. By buying both sides of the same match on Polymarket and locking profit before the game even starts. > The bot buys YES and NO simultaneously on sports markets. > When combined price is below $1 - profit is locked instantly. > 7,877 trades. > $619K in 12 months. Check the wallet here: I reverse-engineered every trade and rebuilt the full logic in Claude Opus 4.6. The strategy, the math, both arb types, the exact 5-step bot architecture - all in the article. Feed it to your OpenClaw, let it spec the bot for Claude Opus 4.6, and you are set.

may.crypto {🦅}

997,623 просмотров • 4 месяцев назад