正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

"When Deepseek models came out, and Kimi models and others, those are the predominant models in the world.... so I think there absolutely is an appetite for the cheaper, you know, sort of Prius level model versus, versus the Ferrari out there" -Naveen Rao

Deirdre Bosa

65,552 subscribers

23,263 次观看 • 8 个月前 •via X (Twitter)

新闻政治科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)

"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)

Rohan Paul

32,317 次观看 • 18 天前

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Patrick OShaughnessy

270,121 次观看 • 2 个月前

🔥BREAKING: Nvidia CEO Jensen Huang pushes back against efforts to ban Chinese AI models in the US. In an interview with Axios, Huang said US firms should "ABSOLUTELY" be allowed to use Chinese models. "These Chinese models are excellent." "The market's misunderstood the impact of DeepSeek the first time. It's misunderstood the impact of Kimi again this time." "With great open AI models, it's great for the whole industry." "Great models lead to great use, which leads to great growth." Huang’s statement directly challenges Trump officials and US labs seeking to shut Chinese AI models out.

🔥BREAKING: Nvidia CEO Jensen Huang pushes back against efforts to ban Chinese AI models in the US. In an interview with Axios, Huang said US firms should "ABSOLUTELY" be allowed to use Chinese models. "These Chinese models are excellent." "The market's misunderstood the impact of DeepSeek the first time. It's misunderstood the impact of Kimi again this time." "With great open AI models, it's great for the whole industry." "Great models lead to great use, which leads to great growth." Huang’s statement directly challenges Trump officials and US labs seeking to shut Chinese AI models out.

Coin Bureau

70,103 次观看 • 2 个月前

Anthropic Technical Staff Jess Yan says the harness and the model cannot be pulled apart without giving up performance, though she flags her own bias. "I think I am quite biased but I also think that it is impossible to get the maximum possible performance without tying together the harness and the model." "Now the components of the harness and maybe the thickness of the harness will change over time as models get more and more capable." "However, when we test our models and when we are assessing their performance we always have to test it in conjunction with a harness." "And are we going to test it with all the different harnesses of the world? We're going to select the harnesses that we have built." "And so there is an aspect of the necessity of building models is that you have to be testing them with harnesses, and that sort of keeps them paired together."

Anthropic Technical Staff Jess Yan says the harness and the model cannot be pulled apart without giving up performance, though she flags her own bias. "I think I am quite biased but I also think that it is impossible to get the maximum possible performance without tying together the harness and the model." "Now the components of the harness and maybe the thickness of the harness will change over time as models get more and more capable." "However, when we test our models and when we are assessing their performance we always have to test it in conjunction with a harness." "And are we going to test it with all the different harnesses of the world? We're going to select the harnesses that we have built." "And so there is an aspect of the necessity of building models is that you have to be testing them with harnesses, and that sort of keeps them paired together."

Fireside Alpha

584,074 次观看 • 1 个月前

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Santiago

164,162 次观看 • 2 年前

I just absolutely love her. I follow her on Instagram. When you are feeling so down with the News. Watching her cook for the people in Gaza is so inspiring and reminds you that there are humans out there.

I just absolutely love her. I follow her on Instagram. When you are feeling so down with the News. Watching her cook for the people in Gaza is so inspiring and reminds you that there are humans out there.

Mr. Spock 🖖 (Commentary)

201,570 次观看 • 5 个月前

This is not for people who build World Models. I get an exclusive look inside one of the best AI labs in the world in Silicon Valley, Institute of Foundation Models, and talk with Hector Liu, Hector Liu, who leads World Model research there. These will be the “brains” of humanoid robots, and the key tech for all sorts of other things. I met with him to try to figure out how far away a truly generalized robot is. More on this lab and what they do at:

This is not for people who build World Models. I get an exclusive look inside one of the best AI labs in the world in Silicon Valley, Institute of Foundation Models, and talk with Hector Liu, Hector Liu, who leads World Model research there. These will be the “brains” of humanoid robots, and the key tech for all sorts of other things. I met with him to try to figure out how far away a truly generalized robot is. More on this lab and what they do at:

Robert Scoble

34,135 次观看 • 2 个月前

$NVDA CEO Jensen Huang on Kimi: The U.S. should not ban Chinese open-source models. The market misunderstood DeepSeek the first time, and it’s misunderstanding Kimi again. Great open models are good for the industry. More AI use means more demand for NVIDIA computers.

$NVDA CEO Jensen Huang on Kimi: The U.S. should not ban Chinese open-source models. The market misunderstood DeepSeek the first time, and it’s misunderstanding Kimi again. Great open models are good for the industry. More AI use means more demand for NVIDIA computers.

Wall St Engine

52,486 次观看 • 2 个月前

Use Copilot for free and completely privately with the DeepSeek models in VSCode Follow these 5 steps: - Download the CodeGPT extension for VSCode: - Download @Ollama_ai: - Once installed, run the following command in the terminal: "ollama run deepseek-coder" - In CodeGPT settings in VSCode, select Ollama as the provider and the model as deepseek-coder. - All set! ✅ Start coding with these powerful expert models in mathematics and programming. In this new version of CodeGPT, the interface has been improved, and the following models have been added: ✨ codellama:13b ✨ zephyr ✨ deepseek-coder ✨ deepseek-coder:33b Open-source models are gradually taking their rightful place, and the best part is... they run on CPUs 🤩

Use Copilot for free and completely privately with the DeepSeek models in VSCode Follow these 5 steps: - Download the CodeGPT extension for VSCode: - Download @Ollama_ai: - Once installed, run the following command in the terminal: "ollama run deepseek-coder" - In CodeGPT settings in VSCode, select Ollama as the provider and the model as deepseek-coder. - All set! ✅ Start coding with these powerful expert models in mathematics and programming. In this new version of CodeGPT, the interface has been improved, and the following models have been added: ✨ codellama:13b ✨ zephyr ✨ deepseek-coder ✨ deepseek-coder:33b Open-source models are gradually taking their rightful place, and the best part is... they run on CPUs 🤩

Daniel San

190,584 次观看 • 2 年前

Jensen says Open Source can be MORE expensive for enterprises, Brad Gerstner explains why: Brad Gerstner: “Over the last two weeks, everybody's been saying that the Chinese have caught up, that open source tokens have caught up in intelligence, that they're much cheaper, etc. And Elon comes out and says, ‘Not so fast. We're entering the singularity, and the frontier models are way further ahead than people think.’ I believe that to be true. And then Jensen came out this week and said, ‘Closed models are actually cheaper if you don't have to build it for yourself, the training costs, and a lot of expertise to fine-tune, and maintain, and guardrail, and keep it safe. So he's basically making the argument that not only are the frontier models further ahead, but that the cost differential between the two is not what everybody's making it out to be, which I think explains why (closed models) continue to run away with it on the revenue side of the equation. For the vast majority of use cases, I think token consumption is going up for the open source guys, while share of economics is going up for the frontier labs. I think that's what we want to see.” $NVDA

Jensen says Open Source can be MORE expensive for enterprises, Brad Gerstner explains why: Brad Gerstner: “Over the last two weeks, everybody's been saying that the Chinese have caught up, that open source tokens have caught up in intelligence, that they're much cheaper, etc. And Elon comes out and says, ‘Not so fast. We're entering the singularity, and the frontier models are way further ahead than people think.’ I believe that to be true. And then Jensen came out this week and said, ‘Closed models are actually cheaper if you don't have to build it for yourself, the training costs, and a lot of expertise to fine-tune, and maintain, and guardrail, and keep it safe. So he's basically making the argument that not only are the frontier models further ahead, but that the cost differential between the two is not what everybody's making it out to be, which I think explains why (closed models) continue to run away with it on the revenue side of the equation. For the vast majority of use cases, I think token consumption is going up for the open source guys, while share of economics is going up for the frontier labs. I think that's what we want to see.” $NVDA

The All-In Podcast

61,928 次观看 • 1 个月前

BlackRock on tokenization models and why tapping existing market liquidity matters. “You guys have put out a gold standard… but I don’t know that all of the models deliver at the same level.” Samara Cohen, Global Head of Market Development at BlackRock, on model quality.

BlackRock on tokenization models and why tapping existing market liquidity matters. “You guys have put out a gold standard… but I don’t know that all of the models deliver at the same level.” Samara Cohen, Global Head of Market Development at BlackRock, on model quality.

Ondo Finance

29,845 次观看 • 6 个月前

RESIDENT EVIL FURRY PACK TRAILER! I made a big RE1 style Trailer for the models iv been showing you all! Its voiced by me and Keo over there💙☁ These models were commisioned by Max Starbound THESE MODELS ALL COME OUT AT 1600 FOLLOWERS! high i know but theres alot of models REPOST!

RESIDENT EVIL FURRY PACK TRAILER! I made a big RE1 style Trailer for the models iv been showing you all! Its voiced by me and Keo over there💙☁ These models were commisioned by Max Starbound THESE MODELS ALL COME OUT AT 1600 FOLLOWERS! high i know but theres alot of models REPOST!

Kinky Melody (Comms Open) 3 Slots 🔞

10,619 次观看 • 6 个月前

Hacktron founder s1r1us on why frontier models are still far ahead of open models for real-world hacking: "The frontier models are insanely capable. There's a huge gap. You don't even want to use Kimi K3 when you have access to GPT 5.6." "We can't really use Opus 5 anymore. Every time there's a new model release, you kind of don't want to work with the previous model." "Open models, we don't really use them. It's incredibly hard to hand hold them to do the exploitation. They're not yet there." Hacktron AI Harsh Jaiswal

Hacktron founder s1r1us on why frontier models are still far ahead of open models for real-world hacking: "The frontier models are insanely capable. There's a huge gap. You don't even want to use Kimi K3 when you have access to GPT 5.6." "We can't really use Opus 5 anymore. Every time there's a new model release, you kind of don't want to work with the previous model." "Open models, we don't really use them. It's incredibly hard to hand hold them to do the exploitation. They're not yet there." Hacktron AI Harsh Jaiswal

MTS

15,129 次观看 • 8 天前

We added 4 major open weight models in April. These powerful models are available for encrypted inference in the Maple apps, web, and API: - DeepSeek DeepSeek V4 - Kimi.ai Kimi K2.6 - Z.ai GLM 5.1 - Google Gemma Gemma 4 Power and privacy in one spot.

We added 4 major open weight models in April. These powerful models are available for encrypted inference in the Maple apps, web, and API: - DeepSeek DeepSeek V4 - Kimi.ai Kimi K2.6 - Z.ai GLM 5.1 - Google Gemma Gemma 4 Power and privacy in one spot.

Maple

11,640 次观看 • 5 个月前

You still talking about the same model of Tesla for 5-6 years, same old boring These guys churn out new models like there is no tomorrow and it's only one brand... Carmakers around the world need wake up and move fast to survive!

Marco Castelli

14,188 次观看 • 7 个月前

Legendary botanist David Bellamy lost his position at the BBC after dismissing the man-made climate change narrative as "poppycock". Interviewer: "Do you believe man-made climate change is happening?" Bellamy: "Absolutely not... There is no actual proof. There are a whole series of computer models, and you can fiddle computer models to say what you like." "There is no proof at all scientifically, there are just models... It is total poppycock."

Legendary botanist David Bellamy lost his position at the BBC after dismissing the man-made climate change narrative as "poppycock". Interviewer: "Do you believe man-made climate change is happening?" Bellamy: "Absolutely not... There is no actual proof. There are a whole series of computer models, and you can fiddle computer models to say what you like." "There is no proof at all scientifically, there are just models... It is total poppycock."

Camus

291,106 次观看 • 1 年前

Morning Motivation – When you buy an iPhone, buy the Pro model. Because monthly EMIs of Pro models are still out of budget for these chappris 😭📱

Morning Motivation – When you buy an iPhone, buy the Pro model. Because monthly EMIs of Pro models are still out of budget for these chappris 😭📱

ᴛʀᴏʟʟɪɴɢ ɪꜱ ᴀɴ ᴀʀᴛ

320,210 次观看 • 11 个月前

English botanist David Bellamy was ousted by the BBC after denouncing the human-induced climate change narrative as "total poppycock". Interviewer: "Do you believe man-made climate change is happening?" Bellamy: "Absolutely not... There is no actual proof. There are a whole series of computer models, and you can fiddle computer models to say what you like." "There is no proof at all scientifically, there are just models... It is total poppycock."

English botanist David Bellamy was ousted by the BBC after denouncing the human-induced climate change narrative as "total poppycock". Interviewer: "Do you believe man-made climate change is happening?" Bellamy: "Absolutely not... There is no actual proof. There are a whole series of computer models, and you can fiddle computer models to say what you like." "There is no proof at all scientifically, there are just models... It is total poppycock."

Wide Awake Media

126,055 次观看 • 1 年前

Someone figured out how to run Claude Fable 5 and GPT-5.6 together inside ChatGPT Codex and the setup takes 5 minutes. Two commands get you started: → codex plugin marketplace add Cjbuilds/Codex-Orchestration → codex plugin add codex-orchestration@codex-orchestration From there you set an advisor model for the expensive thinking and an executor model for the cheaper implementation. Paste the workflow prompt, describe the task and both models handle their side automatically. Fable 5 plans. A cheaper model executes. You get the best of both without paying flagship prices for every token.

Someone figured out how to run Claude Fable 5 and GPT-5.6 together inside ChatGPT Codex and the setup takes 5 minutes. Two commands get you started: → codex plugin marketplace add Cjbuilds/Codex-Orchestration → codex plugin add codex-orchestration@codex-orchestration From there you set an advisor model for the expensive thinking and an executor model for the cheaper implementation. Paste the workflow prompt, describe the task and both models handle their side automatically. Fable 5 plans. A cheaper model executes. You get the best of both without paying flagship prices for every token.

0xMarioNawfal

56,586 次观看 • 2 个月前

"One of the biggest misconceptions" Cerebras CFO Bob Komin pushes back on the small-models narrative. "We serve all models, and there is no limit to the size of the models that we can serve. Today, we're serving trillion parameter models. We're serving trillion parameter models that are internal for OpenAI today. We are currently running OpenAI 5.4 and 5.5 with them."

"One of the biggest misconceptions" Cerebras CFO Bob Komin pushes back on the small-models narrative. "We serve all models, and there is no limit to the size of the models that we can serve. Today, we're serving trillion parameter models. We're serving trillion parameter models that are internal for OpenAI today. We are currently running OpenAI 5.4 and 5.5 with them."

Deirdre Bosa

84,608 次观看 • 4 个月前