Загрузка видео...

Не удалось загрузить видео

На главную

We released physics-intern: a simple harness for science problems! It gets models like Gemini 3.1 Pro to go from 17.7 -> 31.4, thus beating GPT 5.5 Pro. The physics-intern harness can wrap any model and via dedicated subagent boost the performance of the vanilla reasoning models. While I think...

lvwerra's profile picture

Leandro von Werra

11,242 subscribers

95,699 просмотров • 16 дней назад •via X (Twitter)

Здоровье и велнесНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

GPT-5.5 by Reasoning Effort: I've asked it in Codex to create a physics-based visualisation of RL cycles for different sized models (70b, 1t, 10t), to demonstrate how the amount of RL you can do differs by model size. My assessment of each: - Low: weird slop - Medium: kinda cooked - High: sort of tried but ultimately incoherent - Extra High: elite - really nice idea and well executed Obviously this is just one shot, but worth trying different reasoning levels for the new models, medium seems to be pretty good for GPT-5.5 and it was really bad for many previous GPT models.
0:15

GPT-5.5 by Reasoning Effort: I've asked it in Codex to create a physics-based visualisation of RL cycles for different sized models (70b, 1t, 10t), to demonstrate how the amount of RL you can do differs by model size. My assessment of each: - Low: weird slop - Medium: kinda cooked - High: sort of tried but ultimately incoherent - Extra High: elite - really nice idea and well executed Obviously this is just one shot, but worth trying different reasoning levels for the new models, medium seems to be pretty good for GPT-5.5 and it was really bad for many previous GPT models.

Peter Gostev

208,732 просмотров • 1 месяц назад

Harness the power of generative AI without just prompting and hoping for the best. From Unbound Slop to Tripo to Unreal Engine, we love this workflow for generating 3D models.
0:17

Harness the power of generative AI without just prompting and hoping for the best. From Unbound Slop to Tripo to Unreal Engine, we love this workflow for generating 3D models.

Unbound

26,381 просмотров • 1 месяц назад

✨ Watch the full tutorial: The Hip Cuffs Harness is the definition of less is more. It’s simple, comfortable, and minimalistic yet properly restraining. You can explore feelings of helplessness while keeping the body in a positionally comfortable tie, allowing your play to last longer. 💖 If you’d like a full step-by-step guide with images for tying this beginner-friendly harness, comment “HARNESS” and we’ll send you the downloadable Harness Guide PDF.
0:15

✨ Watch the full tutorial: The Hip Cuffs Harness is the definition of less is more. It’s simple, comfortable, and minimalistic yet properly restraining. You can explore feelings of helplessness while keeping the body in a positionally comfortable tie, allowing your play to last longer. 💖 If you’d like a full step-by-step guide with images for tying this beginner-friendly harness, comment “HARNESS” and we’ll send you the downloadable Harness Guide PDF.

Shibari Study

30,701 просмотров • 2 месяцев назад

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:
0:11

BREAKING: Anthropic just dropped Opus 4.8—and it is a MONSTER We've been testing for about a week Every 📧 and our verdict is they could've just called it Opus 5, it's that good. Here's our vibe check: - Beats GPT-5.5 on Senior Engineer bench. On our toughest benchmark Opus 4.8 scores a 63—a hair higher than GPT-5.5's score of 62, and a full 30 points higher than Opus 4.7. It tackled a ground-up rewrite of a production codebase, and actually built something that works. HOWEVER: Coding performance varied a lot at different reasoning levels. We recommend using it on xhigh for best results. - Incredibly good writer. Opus 4.8 scored a 79.6 on our writing benchmark—measuring models on real-world writing tasks we do all of the time like essay writing, promo email writing, and more. It beats GPT-5.5 by 6 points. It produces well-written prose with fewer "AI-isms". It's also very good at writing in your voice given the right context. HOWEVER: Writing performance also varied with reasoning levels. Medium reasoning had higher incidence of AI-isms—we found best results with high. - Beast at knowledge work. Opus 4.8 is very good at general knowledge work tasks like report creation, research and more. It produced the best PowerPoint one-shot we've ever seen on our deck generation benchmark. - Emotionally intelligent, willing to question the frame. I've also found it to be quite good at talking through psychological or interpersonal issues. It has a high EQ, and it's also good at not glazing and helping to expand your perspective. Its thought process feels extremely rich and dynamic. THE BAD: These days a model is only as good as its harness, and Codex is still a far superior harness to the Claude Desktop app. This has kept me using Codex + GPT-5.5 as my daily driver, but I am flipping back and forth a lot more between Codex and Claude. Anthropic is back baby! Read the rest on Every 📧:

Dan Shipper 📧

346,892 просмотров • 9 дней назад

Day #6 of Gagtober Models from RF studio love the 13 in 1 ballgag Harness !!
0:11

Day #6 of Gagtober Models from RF studio love the 13 in 1 ballgag Harness !!

All About GAG

12,334 просмотров • 1 год назад

Strap in for a ride with the Lovense Harness. It's the perfect match for Lapis and the entire Lovense lineup. Get ready for endless possibilities and unparalleled pleasure. #Lovense #Lovenseway #harness Get Lovense Harness from here👇
0:14

Strap in for a ride with the Lovense Harness. It's the perfect match for Lapis and the entire Lovense lineup. Get ready for endless possibilities and unparalleled pleasure. #Lovense #Lovenseway #harness Get Lovense Harness from here👇

LovenseOfficial

57,671 просмотров • 2 лет назад

THE HAIR OMG!! I FINISHED IT AND IT LOOKS SO GOOD!!✨Until now, I didn't think it was possible for my 3D models to have live2D-like physics without clipping! I'm so happy! 🩵
0:15

THE HAIR OMG!! I FINISHED IT AND IT LOOKS SO GOOD!!✨Until now, I didn't think it was possible for my 3D models to have live2D-like physics without clipping! I'm so happy! 🩵

Pastell & Palette🧊🤍 ⌞3D Artist Twins⌝

16,661 просмотров • 11 месяцев назад

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.
0:14

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

Sundar Pichai

864,005 просмотров • 1 год назад

Gemini 3.1 Pro is now available for all paid tiers! The default model router, Auto (Gemini 3) will use Gemini 3.1 Pro as it's pro model for complex prompts. You can also set the new model via /model to try it out. We are excited to see how you put it to use!
0:12

Gemini 3.1 Pro is now available for all paid tiers! The default model router, Auto (Gemini 3) will use Gemini 3.1 Pro as it's pro model for complex prompts. You can also set the new model via /model to try it out. We are excited to see how you put it to use!

Gemini CLI

399,467 просмотров • 3 месяцев назад

Had early access to Gemini with Deep Think. Very good model, big gains over standard Gemini 2.5 Pro for a lot of problems. Here is the first attempt at the starship control panel prompt I try with every model. First time I have seen a model make a 3D interface in response.
0:14

Had early access to Gemini with Deep Think. Very good model, big gains over standard Gemini 2.5 Pro for a lot of problems. Here is the first attempt at the starship control panel prompt I try with every model. First time I have seen a model make a 3D interface in response.

Ethan Mollick

252,665 просмотров • 10 месяцев назад

GOOGLE 🔥: An upcoming Gemini Omni video model from Google is expected to be much more advanced in video editing, capable of completing tasks like removing watermarks, replacing objects in the video, and more. It is also likely that Google will release 2 versions of this model, including a Pro variant. And I assume what we see isn't Pro? Anime sample 👀
0:10

GOOGLE 🔥: An upcoming Gemini Omni video model from Google is expected to be much more advanced in video editing, capable of completing tasks like removing watermarks, replacing objects in the video, and more. It is also likely that Google will release 2 versions of this model, including a Pro variant. And I assume what we see isn't Pro? Anime sample 👀

🚨 AI News | TestingCatalog

178,387 просмотров • 26 дней назад

Building a harness to run scans with an agent. It is absolutely garbage. Completely useless. There’s literally 0 benefit to using it over plain Claude Code. Everything it can do, you can just do via Skills etc. Many were preaching the benefits of a harness, but I’m not sure.
0:16

Building a harness to run scans with an agent. It is absolutely garbage. Completely useless. There’s literally 0 benefit to using it over plain Claude Code. Everything it can do, you can just do via Skills etc. Many were preaching the benefits of a harness, but I’m not sure.

solst/ICE of Astarte

54,685 просмотров • 1 месяц назад

Now that I've recovered my model files I thought I'd show the difference between model set-ups! It's important to take the time to find the right tracking and settings for your models, simply messing around with physics and inputs can make a big difference.
0:14

Now that I've recovered my model files I thought I'd show the difference between model set-ups! It's important to take the time to find the right tracking and settings for your models, simply messing around with physics and inputs can make a big difference.

Iko ☯️💀【VTuber】

27,192 просмотров • 1 год назад

wow.. ComfyUI's node canvas is crazy we can now generate image, video, audio, even 3D models locally on the AI canva and.. it has all the top AI models like FLUX, GPT image, Kling, Veo, Hunyuan3D and more step by step tutorial:
0:19

wow.. ComfyUI's node canvas is crazy we can now generate image, video, audio, even 3D models locally on the AI canva and.. it has all the top AI models like FLUX, GPT image, Kling, Veo, Hunyuan3D and more step by step tutorial:

el.cine

182,123 просмотров • 1 год назад

Step 2: Use 100+ models like GPT-5.1, Nano Banana Pro, Gemini 3, Claude 4.5... ✅ Expert-level reasoning, mathematics, and scientific knowledge ✅ Continuously updated with the latest models ✅ One account, no geographic restrictions Try GPT-5.1 for FREE now 👉
0:15

Step 2: Use 100+ models like GPT-5.1, Nano Banana Pro, Gemini 3, Claude 4.5... ✅ Expert-level reasoning, mathematics, and scientific knowledge ✅ Continuously updated with the latest models ✅ One account, no geographic restrictions Try GPT-5.1 for FREE now 👉

Leo ☄️

86,056 просмотров • 6 месяцев назад

new collab from Paradigm and OpenAI: evmbench is a benchmark and agent harness for exploiting smart contract bugs a few months ago, the best models found <20% of critical, fund-draining @Code4rena bugs in our benchmark. today they find > 70%
0:15

new collab from Paradigm and OpenAI: evmbench is a benchmark and agent harness for exploiting smart contract bugs a few months ago, the best models found <20% of critical, fund-draining @Code4rena bugs in our benchmark. today they find > 70%

Alpin Yukseloglu

187,340 просмотров • 3 месяцев назад

There are so many models that it can get confusing so today we launched an auto-router - you get the best answers from any of the top models. At the same time, we have AI experts and model enthusiasts who will enjoy access to 10 new models we just added including: ✅ GPT-4.1 ✅ o3 & o4 Mini ✅ Grok 3 ✅ Llama 4 Maverick & Scout We're also sunsetting some older models that just can't keep up anymore.
0:10

There are so many models that it can get confusing so today we launched an auto-router - you get the best answers from any of the top models. At the same time, we have AI experts and model enthusiasts who will enjoy access to 10 new models we just added including: ✅ GPT-4.1 ✅ o3 & o4 Mini ✅ Grok 3 ✅ Llama 4 Maverick & Scout We're also sunsetting some older models that just can't keep up anymore.

Richard Socher

24,729 просмотров • 1 год назад

Grok 4.1 Fast outperforms all major frontier models on τ²-Bench Telecom for agentic tool use Beating the newest models from Google (Gemini 3 Pro), Anthropic (Claude Opus 4.5), and OpenAI (GPT 5.2 xhigh)
0:15

Grok 4.1 Fast outperforms all major frontier models on τ²-Bench Telecom for agentic tool use Beating the newest models from Google (Gemini 3 Pro), Anthropic (Claude Opus 4.5), and OpenAI (GPT 5.2 xhigh)

X Freeze

40,853 просмотров • 5 месяцев назад

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this
0:15

🐐 Gemini 3 Pro GA One shot prompt is in comment with the codepen link I repeat no model in this entire world able to implement this level of physics and spatial reasoning Not even Opus 4.6 and Gpt-5.3 codex , this is like a generation gap Sub Woofer submitted this

Chetaslua

35,579 просмотров • 4 месяцев назад

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.
0:19

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

Brian Roemmele

57,424 просмотров • 6 месяцев назад