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。

NVIDIA just dropped something wild. Meet Nemotron 70B. It's an AI model that's shaking things up. It’s already ranking number three on the LM Arena leaderboard. Beating GPT-4 and Claude 3.5. Here's why it's the next big thing:

Julian Goldie SEO

172,792 subscribers

15,727 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治

Anya Rossi• Live Now

Private livecam show

9 条评论

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

Nemotron isn’t just another AI. It's got a unique twist. You can search the web directly. Ever wanted to know what’s trending? Just ask it! It pulls the latest info right from the internet. No more outdated stats.

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

Imagine asking, "What happened today?" Nemotron gives you the scoop. It even tells you the date of the news. Like, “Mass layoffs at Intel.” You can verify it instantly. This is huge for creating timely content.

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

Now, let’s talk writing style. Nemotron's content feels super human. It avoids that annoying AI fluff. For example, it answers, "What is SEO?" With relatable questions. It’s engaging and easy to read.

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

How does it stack up against ChatGPT-4? Nemotron’s output is way more interesting. ChatGPT can feel robotic. Nemotron has a better flow. It even formats text nicely. You’ll want to keep reading!

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

But here’s where it gets wild. Nemotron has fewer restrictions. Try asking it for a clickbait article. Claude will refuse. But Nemotron will warn you first, then deliver. Talk about freedom in AI!

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

Worried about AI detection? Nemotron can help with that too. You can ask it to humanize your content. While ChatGPT might refuse, Nemotron jumps right in. It explains how to make your writing feel more authentic.

Julian Goldie SEO 的头像

Julian Goldie SEO1 年前

Like this? Check this out: 🚀 Book a FREE SEO Strategy Session 👉 🔗 Free SEO Course 👉 💰 Want more money, traffic, and sales from SEO? Join the SEO Elite Circle 👉

Muhammad Sohaib 的头像

Muhammad Sohaib1 年前

Ayy that sounds incredible Julian. Can't wait to see what this new tech powerhouse can do.

Raks 的头像

Raks1 年前

Great. I just have to drop a gold brick to get the latest Nvidia card. And then find the only one available is 2 years old.

相关视频

Google just dropped a FREE AI SEO model. It's called Gemini Experimental 1206. And it's already topping the charts. Here's why it's a game-changer: ⤵️

Google just dropped a FREE AI SEO model. It's called Gemini Experimental 1206. And it's already topping the charts. Here's why it's a game-changer: ⤵️

Julian Goldie SEO

20,533 次观看 • 1 年前

KARPATHY JUST DROPPED A 2-HOUR INTERVIEW AND IT'S THE MOST HONEST THING IN AI RIGHT NOW watched the whole thing. three things hit me hard: > we're nowhere near real agents - including Claude > AGI will blend into daily life and nobody will notice > he quit AI research to fix education. because that's the actual problem save this 👇

KARPATHY JUST DROPPED A 2-HOUR INTERVIEW AND IT'S THE MOST HONEST THING IN AI RIGHT NOW watched the whole thing. three things hit me hard: > we're nowhere near real agents - including Claude > AGI will blend into daily life and nobody will notice > he quit AI research to fix education. because that's the actual problem save this 👇

Mr. Buzzoni

196,590 次观看 • 3 个月前

Serno just dropped and it's the first AI tool that doesn't feel like a chatbot. It's a canvas. With a team of expert personas. Who debate before they answer you. Claude, GPT, and Gemini all run the same question side by side. Here's how to use it: 👇

Serno just dropped and it's the first AI tool that doesn't feel like a chatbot. It's a canvas. With a team of expert personas. Who debate before they answer you. Claude, GPT, and Gemini all run the same question side by side. Here's how to use it: 👇

Hasan Toor

66,443 次观看 • 3 个月前

🚨 BREAKING NEWS 🚨 A Chinese video AI just dropped, and it’s already shaking up the video world. Meet #MiniMax, the AI that’s set to revolutionize the game and claim its place in the video AI arena. Check out this 2-minute official demo, created entirely in Text to Video mode. You’re not ready for this! 🎥🔥

🚨 BREAKING NEWS 🚨 A Chinese video AI just dropped, and it’s already shaking up the video world. Meet #MiniMax, the AI that’s set to revolutionize the game and claim its place in the video AI arena. Check out this 2-minute official demo, created entirely in Text to Video mode. You’re not ready for this! 🎥🔥

Pierrick Chevallier | IA

97,981 次观看 • 2 年前

THE AI RACE IS OVER. DUST CLEARED. GROK 4 FAST ALREADY HIT 67 BILLION TOKENS Grok 4 Fast just bulldozed the leaderboard, clocking 67.1 billion tokens and leaving rivals gasping for bandwidth! Leaderboard Mode: • Qwen3’s 80B trails at 23B – miles behind • Gemini 2.5 Flash barely flickers in 3rd • Claude? Still waiting at the loading screen • TrustAI charts show Grok’s surge lighting up November It’s not just an AI model anymore – it’s a speed-run on the entire industry! Source: TrustAI, xAI, Medium

THE AI RACE IS OVER. DUST CLEARED. GROK 4 FAST ALREADY HIT 67 BILLION TOKENS Grok 4 Fast just bulldozed the leaderboard, clocking 67.1 billion tokens and leaving rivals gasping for bandwidth! Leaderboard Mode: • Qwen3’s 80B trails at 23B – miles behind • Gemini 2.5 Flash barely flickers in 3rd • Claude? Still waiting at the loading screen • TrustAI charts show Grok’s surge lighting up November It’s not just an AI model anymore – it’s a speed-run on the entire industry! Source: TrustAI, xAI, Medium

Mario Nawfal

196,729 次观看 • 9 个月前

3 weeks ago: I interviewed the co-founder of Factory AI. The buzz: A tiny team outperforming OpenAI and Anthropic. Using their own models. $50M raised. MongoDB and Zapier seeing 31x faster development. If you heard about Droids but haven't watched the interview yet, here's what you missed. Eno Reyes explains how they're beating GPT-5 and Claude and why it's not about the model itself. Full conversation in next post.

3 weeks ago: I interviewed the co-founder of Factory AI. The buzz: A tiny team outperforming OpenAI and Anthropic. Using their own models. $50M raised. MongoDB and Zapier seeing 31x faster development. If you heard about Droids but haven't watched the interview yet, here's what you missed. Eno Reyes explains how they're beating GPT-5 and Claude and why it's not about the model itself. Full conversation in next post.

Ray Fernando

29,812 次观看 • 10 个月前

Wild. Kimi K2 Thinking just released and it's insane. It's an AI model that can run by itself for hours on end and make HUNDREDS of tool calls It's the 1st model I think that can replace humans In this video I show why it's so special and how to use it to build your first app

Wild. Kimi K2 Thinking just released and it's insane. It's an AI model that can run by itself for hours on end and make HUNDREDS of tool calls It's the 1st model I think that can replace humans In this video I show why it's so special and how to use it to build your first app

Alex Finn

70,081 次观看 • 9 个月前

🚨JUST RELEASED🚨 HORDELORD JUST RELEASED ON STEAM! Here's a few things you should know: ⦁ It's an arena FPS inspired by Quake and Vampire Survivors. 🔫 ⦁ It's got a pirate ship level. 🏴‍☠️ ⦁ It's only FIVE BUCKS! 💸 Link in the comments ⬇️

🚨JUST RELEASED🚨 HORDELORD JUST RELEASED ON STEAM! Here's a few things you should know: ⦁ It's an arena FPS inspired by Quake and Vampire Survivors. 🔫 ⦁ It's got a pirate ship level. 🏴‍☠️ ⦁ It's only FIVE BUCKS! 💸 Link in the comments ⬇️

Fatbot Games - GRAVELORD 1.0 is OUT NOW!

18,084 次观看 • 1 年前

A lot of people think quantum computing is just a made up thing, but Sharbel just schooled us on what it really is. It's the real deal, and it's gonna shake things up big time

A lot of people think quantum computing is just a made up thing, but Sharbel just schooled us on what it really is. It's the real deal, and it's gonna shake things up big time

Harly™️

10,635 次观看 • 7 个月前

It's only been just over a week since OpenAI dropped o3-mini. And people are already doing crazy things with it! 10 wild examples: 1. Create visually stunning demo of the Big Bang Theory in three.js

It's only been just over a week since OpenAI dropped o3-mini. And people are already doing crazy things with it! 10 wild examples: 1. Create visually stunning demo of the Big Bang Theory in three.js

Min Choi

507,146 次观看 • 1 年前

this is the "brain of AI" Claude is made of billions of these artificial neurons. no one knows exactly how they work inside. that's why it's called a black box. you give it an input, it fires through billions of connections, something comes out the other side nobody fully understands why it works. but here's what we do know: the brain is the same for everyone what separates the top 1% isn't a better model it's the setup around it ClaudeKit gives Claude Code that setup. ( full breakdown in the article below

this is the "brain of AI" Claude is made of billions of these artificial neurons. no one knows exactly how they work inside. that's why it's called a black box. you give it an input, it fires through billions of connections, something comes out the other side nobody fully understands why it works. but here's what we do know: the brain is the same for everyone what separates the top 1% isn't a better model it's the setup around it ClaudeKit gives Claude Code that setup. ( full breakdown in the article below

Hamza Khalid

175,901 次观看 • 2 个月前

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses *three* NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

NVIDIA just released a new open source transcription model, Nemotron Speech ASR, designed from the ground up for low-latency use cases like voice agents. Here's a voice agent built with this new model. 24ms transcription finalization and total voice-to-voice inference time under 500ms. This agent actually uses three NVIDIA open source models: - Nemotron Speech ASR - Nemotron 3 Nano 30GB in a 4-bit quant (released in December) - A preview checkpoint of the upcoming Magpie text-to-speech model These models are all truly open source: weights, training data, training code, and inference code. This is a big deal! Jensen said in the CES keynote yesterday that he expects open source models to catch up to proprietary models this year in a number of categories. NVIDIA is putting their weight behind making this happen. (As Alan Kay said, the best way to predict the future is to invent it.) The code for this agent is open source too, of course. You can deploy it to production with Modal and Pipecat AI cloud, or run locally on an NVIDIA DGX Spark or RTX 5090.

kwindla

274,679 次观看 • 7 个月前

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Karpathy just said the people who don't use LLMs are already losing he spent 4 minutes explaining why smart people are still going to fall behind not only the people who refuse AI, but also those who think signing up for Claude counts as using it typing a prompt and reading what comes back isn't the skill, anyone can do that the real shift is going from asking AI things to building something that runs without you that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Anatoli Kopadze

1,213,882 次观看 • 2 个月前

Tyler, The Creator explains why he hates snippet culture and keeps his new music completely secret until it's ready: “I'm not big on announcing or telling people things before it's done. I f*cking hate snippet culture. I really hate it, and I hate that it's okay. That's why I hate leaks. When I'm ready to roll out my next thing, that's when it's ready. When people dive deep into wormholes and set expectations, they're blinding themselves to enjoy something that's right there because they're stuck on a previous idea of what it should be.” (via DJ Drama's Gangsta Grillz Podcast)

Tyler, The Creator explains why he hates snippet culture and keeps his new music completely secret until it's ready: “I'm not big on announcing or telling people things before it's done. I f*cking hate snippet culture. I really hate it, and I hate that it's okay. That's why I hate leaks. When I'm ready to roll out my next thing, that's when it's ready. When people dive deep into wormholes and set expectations, they're blinding themselves to enjoy something that's right there because they're stuck on a previous idea of what it should be.” (via DJ Drama's Gangsta Grillz Podcast)

Kurrco

101,799 次观看 • 2 个月前

AMD JUST KILLED THE $200 - A - MONTH AI SUBSCRIPTION - A 65-WATT BOX WITH 128GB OF UNIFIED MEMORY THAT RUNS 70B MODELS LOCALLY. that clip is amd's ryzen ai max+ 395 mini box, held up on stage. the whole pitch is one spec: 128gb of high-speed unified memory. why it matters: cpu, gpu and npu share the same 128gb pool, so a model that used to need a rack of vram just fits. what it actually runs: llama 70b in full precision on the built-in gpu open models up to ~100b parameters, locally, no cloud all of it in a mini pc pulling around 65 watts that's the part that ends the subscription: your prompts, your data, your model, on a box on your desk, not metered by the token. honest line: this runs open models, not gpt-5 or claude opus. for chat, coding help and agents on your own data it's more than enough. for the absolute frontier, the cloud still wins. and it isn't free: the box runs ~$1,500 and up. but that's a few months of a $200 sub, then it's yours forever. no monthly ai bill, no tokens metered, no prompt leaving the room. the uncomfortable part isn't that amd made a fast box. it's that "you need the cloud for ai" was a pricing choice, and unified memory just made it optional. follow RetroChainer for the hardware that turns rent into ownership, and bookmark this before your next ai renewal.

AMD JUST KILLED THE $200 - A - MONTH AI SUBSCRIPTION - A 65-WATT BOX WITH 128GB OF UNIFIED MEMORY THAT RUNS 70B MODELS LOCALLY. that clip is amd's ryzen ai max+ 395 mini box, held up on stage. the whole pitch is one spec: 128gb of high-speed unified memory. why it matters: cpu, gpu and npu share the same 128gb pool, so a model that used to need a rack of vram just fits. what it actually runs: llama 70b in full precision on the built-in gpu open models up to ~100b parameters, locally, no cloud all of it in a mini pc pulling around 65 watts that's the part that ends the subscription: your prompts, your data, your model, on a box on your desk, not metered by the token. honest line: this runs open models, not gpt-5 or claude opus. for chat, coding help and agents on your own data it's more than enough. for the absolute frontier, the cloud still wins. and it isn't free: the box runs ~$1,500 and up. but that's a few months of a $200 sub, then it's yours forever. no monthly ai bill, no tokens metered, no prompt leaving the room. the uncomfortable part isn't that amd made a fast box. it's that "you need the cloud for ai" was a pricing choice, and unified memory just made it optional. follow RetroChainer for the hardware that turns rent into ownership, and bookmark this before your next ai renewal.

RetroChainer

16,971 次观看 • 11 天前

Hitem3D V2.0 just launched. It's an AI 3D model generation tool that does three things: - Photo or image to full 3D model - Model segmentation so you can isolate and refine parts - Image to STL for 3D printing Combine this with Google Nano Banana and you can build game assets, product prototypes, and printable designs in minutes. Here's what I tested. Sponsored by Hi3D 1/4

Hitem3D V2.0 just launched. It's an AI 3D model generation tool that does three things: - Photo or image to full 3D model - Model segmentation so you can isolate and refine parts - Image to STL for 3D printing Combine this with Google Nano Banana and you can build game assets, product prototypes, and printable designs in minutes. Here's what I tested. Sponsored by Hi3D 1/4

AshutoshShrivastava

19,574 次观看 • 5 个月前

100% Local LLM Coding with Bolt + Ollama + Qwen Qwen just dropped their qwen2.5-coder-30B and it's on ollama. Finally a model good enough to use instead of gpt-4o or claude. Now with Qwen, Bolt perfectly displays the app preview with Ollama. Run it with 1 click.

100% Local LLM Coding with Bolt + Ollama + Qwen Qwen just dropped their qwen2.5-coder-30B and it's on ollama. Finally a model good enough to use instead of gpt-4o or claude. Now with Qwen, Bolt perfectly displays the app preview with Ollama. Run it with 1 click.

cocktail peanut

52,630 次观看 • 1 年前

NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB Most RAG stacks treat the embedding model as a commodity — pick one, index, move on. Nemotron 3 Embed is NVIDIA's argument that the retrieval layer is where agent cost actually gets set. They released three open checkpoints — Nemotron-3-Embed-8B-BF16, 1B-BF16, and 1B-NVFP4 — built on Ministral bases, trained with bidirectional attention masking, pooled by averaging token-level representations, all taking 32,768-token inputs under OpenMDW-1.1. Here's what's actually interesting: → The 8B ranks #1 overall on RTEB: 78.46 avg NDCG@10, alongside 75.45 on MMTEB Retrieval and 60.60 on ViDoRe-V3 text → The 1B wasn't trained small. It was pruned from a 3B parent with ModelOpt mcore_minitron NAS, then distilled from the 8B teacher on COS + MSE loss — twice → That pipeline lands the 1.14B checkpoint at 72.38 RTEB, up 10.4 points on the prior-generation llama-nemotron-embed-vl-1b-v2 → NVFP4 costs 0.38 RTEB points (72.00 vs 72.38, ~99.5% retention) and buys up to 2x BF16 throughput on Blackwell Full Analysis: Model weight: Technical details: NVIDIA AI NVIDIA

NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks #1 on RTEB Most RAG stacks treat the embedding model as a commodity — pick one, index, move on. Nemotron 3 Embed is NVIDIA's argument that the retrieval layer is where agent cost actually gets set. They released three open checkpoints — Nemotron-3-Embed-8B-BF16, 1B-BF16, and 1B-NVFP4 — built on Ministral bases, trained with bidirectional attention masking, pooled by averaging token-level representations, all taking 32,768-token inputs under OpenMDW-1.1. Here's what's actually interesting: → The 8B ranks #1 overall on RTEB: 78.46 avg NDCG@10, alongside 75.45 on MMTEB Retrieval and 60.60 on ViDoRe-V3 text → The 1B wasn't trained small. It was pruned from a 3B parent with ModelOpt mcore_minitron NAS, then distilled from the 8B teacher on COS + MSE loss — twice → That pipeline lands the 1.14B checkpoint at 72.38 RTEB, up 10.4 points on the prior-generation llama-nemotron-embed-vl-1b-v2 → NVFP4 costs 0.38 RTEB points (72.00 vs 72.38, ~99.5% retention) and buys up to 2x BF16 throughput on Blackwell Full Analysis: Model weight: Technical details: NVIDIA AI NVIDIA

Marktechpost AI

32,352 次观看 • 1 个月前