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Loading DeepSeek v4 Flash just reminded me how good and fast this model is and how well it runs on DGX Sparks. GLM-5.2 is really awesome, but if you want fast and concurrent inference, DS4F is still a top choice IMO. Created by DS4F in single shot The coffee guy

Mia

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39,216 次观看 • 4 天前 •via X (Twitter)

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Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:

Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:

Alex Finn

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“I promise you me and my Wife just saw this in the Sky - what is this?” Hey Grok is this Starlink? And if so what dimensions are each satellite in the chain, how high up are they in the sky and how fast is it moving?

“I promise you me and my Wife just saw this in the Sky - what is this?” Hey Grok is this Starlink? And if so what dimensions are each satellite in the chain, how high up are they in the sky and how fast is it moving?

Concerned Citizen

197,317 次观看 • 6 个月前

I have been testing DeepSeek-V4-Pro with the Pi coding agent. I am mindblown by how well it works out of the box. A few notes: I spent a few hours building an LLM wiki with an agent powered entirely by DeepSeek-V4-Pro on Fireworks AI inference. This is the first time I feel like there is an open-weight model that can reason at the level of Claude and Codex. And it does this in a cost-effective way with support for 1M context length. To be clear, I am using DeepSeek-V4-Pro inside of Pi without any special configuration. It works out of the box. It's exciting that there is a model that can just be plugged into a basic harness like Pi, and it just works. I've never seen that before. Most models require lots of configuration and setup. DeepSeek's DeepSeek-V4-Pro is clearly good at agentic coding (probably the best from the open-weight models), but the model is also great on knowledge-intensive tasks where reasoning matters. The agent pulled agentic engineering best practices from different company docs (Anthropic, OpenAI, Google, Stripe, Meta, Modal, DeepSeek, Mistral, Cohere), searched and digested Reddit and HN threads, summarized arxiv papers, and surfaced trending GitHub repos. Then it distilled everything into actionable tips across categories. I love the Wiki it built. The quality is really good. Here is a snapshot of what the wiki looks like: DeepSeek-V4-Pro handled the task without breaking stride. Multi-step research queries, code generation for scaffolding, context-heavy reasoning across disparate sources. For coding specifically, this is the first open-weight model that genuinely feels like a Codex or Claude Code experience. It compares in capability and actual multi-turn agentic work. What made the loop feel so responsive was Fireworks' inference speed (the fastest in the market) and the fact that they actually validate models at the systems level before shipping. No corrupted reasoning traces. Just fast, reliable iteration. The hybrid CSA and HCA attention design cuts KV cache to just 10% and inference FLOPs by nearly 4x at 1M-token context. This is what makes the agent loop actually fast and cheap enough to run in practice. For devs who've been watching open-weight models close the gap but haven't found one that actually delivers in practice, this is the closest I've seen. Try it here:

I have been testing DeepSeek-V4-Pro with the Pi coding agent. I am mindblown by how well it works out of the box. A few notes: I spent a few hours building an LLM wiki with an agent powered entirely by DeepSeek-V4-Pro on Fireworks AI inference. This is the first time I feel like there is an open-weight model that can reason at the level of Claude and Codex. And it does this in a cost-effective way with support for 1M context length. To be clear, I am using DeepSeek-V4-Pro inside of Pi without any special configuration. It works out of the box. It's exciting that there is a model that can just be plugged into a basic harness like Pi, and it just works. I've never seen that before. Most models require lots of configuration and setup. DeepSeek's DeepSeek-V4-Pro is clearly good at agentic coding (probably the best from the open-weight models), but the model is also great on knowledge-intensive tasks where reasoning matters. The agent pulled agentic engineering best practices from different company docs (Anthropic, OpenAI, Google, Stripe, Meta, Modal, DeepSeek, Mistral, Cohere), searched and digested Reddit and HN threads, summarized arxiv papers, and surfaced trending GitHub repos. Then it distilled everything into actionable tips across categories. I love the Wiki it built. The quality is really good. Here is a snapshot of what the wiki looks like: DeepSeek-V4-Pro handled the task without breaking stride. Multi-step research queries, code generation for scaffolding, context-heavy reasoning across disparate sources. For coding specifically, this is the first open-weight model that genuinely feels like a Codex or Claude Code experience. It compares in capability and actual multi-turn agentic work. What made the loop feel so responsive was Fireworks' inference speed (the fastest in the market) and the fact that they actually validate models at the systems level before shipping. No corrupted reasoning traces. Just fast, reliable iteration. The hybrid CSA and HCA attention design cuts KV cache to just 10% and inference FLOPs by nearly 4x at 1M-token context. This is what makes the agent loop actually fast and cheap enough to run in practice. For devs who've been watching open-weight models close the gap but haven't found one that actually delivers in practice, this is the closest I've seen. Try it here:

elvis

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For the DGX Spark owners. This is what you get with DS4 in your hardware. I want to post this to show how with fast prefill and not very fast generation, the system remains absolutely fine to use.

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antirez

39,995 次观看 • 2 个月前

How did they make him so fast. Yesterday I got really excited about the inference side of Cerebras. This is the highest quality fast model I've tried so far. All of this is in it's infancy, imagine your world built as soon as you express what you want. Video games would slap

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0xSero

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DeepSeek V4 Flash 0731 in Hermes Agent and one prompt, took 32 minutes and cost 0.07$, this model is so cheap to the point where 2 dollars can last you a full day.

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Jameson Williams is really fast. He described how fast his teammate Jahmyr Gibbs runs: "This is how the play goes: I go block for about five yards, he hits the hole, and he's gone." 💨 Does Jamo still think he can beat him in race? "Yeah, for sure."

Jameson Williams is really fast. He described how fast his teammate Jahmyr Gibbs runs: "This is how the play goes: I go block for about five yards, he hits the hole, and he's gone." 💨 Does Jamo still think he can beat him in race? "Yeah, for sure."

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615,680 次观看 • 8 个月前

You lot might have moved on, but my mind is still here, man. How do you go down, leave Salah completely free and setting up for a shot, and still manage to block it? This guy is generational.

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DogeDesigner

809,431 次观看 • 9 个月前

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I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

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HERMES DESKTOP APP JUST GOT A NEW ULTRA MODE FOR DEEPSEEK V4 PRO – AND IT COSTS ABOUT $1 A DAY TO RUN If you're using Hermes desktop app, you're probably already running DeepSeek – it's one of the top models available. The update: → DeepSeek V4 Pro now has thinking mode, fast mode, and a brand new ultra mode → There's also an extra high mode, but the real upgrade is ultra The actual cost: roughly $1/day for a normal workflow. That's about $20-25/month – basically the same as before, just with a significantly faster mode unlocked. The verdict after a full day of testing: it flies through tool calling. Noticeably faster, same price range. If you're already paying for DeepSeek through Hermes, this is a free upgrade sitting in your settings right now. Update Hermes, grab the DeepSeek API if you don't have it yet, and try V4 Pro on ultra. Bookmark this, you'll want to come back to it later.

SCOTTY BEAM

24,032 次观看 • 12 天前

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#FNF Just played "Where The Evil Lives In", a sick af mod that is done by a single person. I'm still in love when a mod is made solo, really showcases how talented someone is, and this is very dope. Love the music too! It's crazy awesome! "Stitches" by KillLa蓮

Daily FNF Reviewer (Synecdoche Funkin ???%)

11,310 次观看 • 8 个月前

How to match the complexity of the problem you want to solve with the proper model. You want an inference router. In the video, I show you how simple and powerful this is. After this, you'll never talk directly to a model ever again.

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Santiago

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Just watched the game back and can’t really tell you how good this guy was yesterday. That he still had the energy to do this, is astounding.

Just watched the game back and can’t really tell you how good this guy was yesterday. That he still had the energy to do this, is astounding.

Tom Vickers

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Me and my buddy were playing some forsaken mod and then we stumbled upon this lms and it kinda reminded me of two time and azure and how I used to hope their lms would be melancholic and sad Still wish it was, but hey seraphim wept is still really fucking good for what it is

Me and my buddy were playing some forsaken mod and then we stumbled upon this lms and it kinda reminded me of two time and azure and how I used to hope their lms would be melancholic and sad Still wish it was, but hey seraphim wept is still really fucking good for what it is

🎀 Jacky 🎃

19,713 次观看 • 19 天前

it's so over DeepSeek V3-0324 just dropped and it created this website in one shot, it wrote 800+ lines of code without breaking even once, this is free, open-source, super fast. it's great to see how these open-source models are creating pressure on the big techs to build better models at lower cost.

it's so over DeepSeek V3-0324 just dropped and it created this website in one shot, it wrote 800+ lines of code without breaking even once, this is free, open-source, super fast. it's great to see how these open-source models are creating pressure on the big techs to build better models at lower cost.

Deepanshu Sharma

291,159 次观看 • 1 年前

GLM 5.2 vs Kimi K2.7 both were tested on same settings with same prompt > GLM one shotted everything in 35 mins > Kimi needed extra prompts to fix movements and took 30 mins super surpised by how good GLM 5.2 is, while being so cheap which one do you think won?

GLM 5.2 vs Kimi K2.7 both were tested on same settings with same prompt > GLM one shotted everything in 35 mins > Kimi needed extra prompts to fix movements and took 30 mins super surpised by how good GLM 5.2 is, while being so cheap which one do you think won?

J A Z I I

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$GLM 5.2 is the best Open Model in the world, and many are saying it's almost as good as Opus 4.8 at a fraction of the cost. Here's exactly how to set it up in Cursor using OpenRouter. Complete instructions below 👇$

GLM 5.2 is the best Open Model in the world, and many are saying it's almost as good as Opus 4.8 at a fraction of the cost. Here's exactly how to set it up in Cursor using OpenRouter. Complete instructions below 👇

Agent Native

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