Da7em

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Da7em

Da7em

@Da7_Tech

Chasing the horizon of tomorrow's ✨ | Gaming, Weaving Business, AI, and Apps | Linux soul!

Katılım Ekim 2025
431 Takip Edilen2.8K Takipçiler
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Da7em
Da7em@Da7_Tech·
> been paying $12 for PlayStation Plus > console: PS5, "next-gen gaming" > tried 60fps, ray tracing disabled. tried ray tracing, locked at 30fps > Get a gaming laptop, same price as a PS5 Pro. > same games. same Monitor. > 144fps. ray tracing on. mods. free online. > quality: better than anything Sony ever promised > cancelled PS Plus > saving $12 forever > with a platform that never charged me to use my own internet > the PS5 didn't change. i did
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Da7em
Da7em@Da7_Tech·
@MrAhmadAwais I'm in if it's GLM-5.1, DeepSeek is good but GLM-5.1 is on another level.
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Ahmad Awais
Ahmad Awais@MrAhmadAwais·
Hit 6.5 Billion tokens in 24 hrs on DeepSeek v4 Pro with Command Code, and and hardly more than half of my $100 Max subscription is still available. If you're using Claude Code with open source models, you ain't gonna make it!!
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Da7em
Da7em@Da7_Tech·
Fuck it, I'm done.
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Da7em
Da7em@Da7_Tech·
@Teknium Burned through 400 million tokens via Hermes, zero crashes, just keep building.
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Teknium 🪽
Teknium 🪽@Teknium·
You can now easily share your achievements from the Hermes Dashboard :)
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Da7em
Da7em@Da7_Tech·
@bnjmn_marie I think Qwen 3.6 9B is gonna be huge, especially for 8 VRAM and 16GB unified.
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Benjamin Marie
Benjamin Marie@bnjmn_marie·
Among all the (non-GGUF) models I’ve tested so far, these are the best ones you can run on a 24 GB GPU with a full 256k context and avoiding KV-cache quantization They’re all quantized Qwen3.5 9B variants. The main issue: Qwen3.5 9B burns an enormous number of tokens while thinking. If Qwen3.6 9B is simply more token-efficient, that alone would be a huge upgrade. Note: the kindex score in the chart below is just the average accuracy across the benchmarks I run.
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Da7em
Da7em@Da7_Tech·
@eliana_jordan Openclaw's dead, use Hermes. x.com/i/status/20508…
Da7em@Da7_Tech

Why I Quit @openclaw and Never Looked Back I was one of the early users. Day one. Back when it was still called ClawdBot. And the first feeling? Revolutionary. I genuinely felt like I was touching the future. An AI agent that could execute tasks on your machine — that was a different category from everything else at the time. But then reality set in. The thing kept breaking. Constantly. Warnings, errors, failures mid-task. I was spending more time fixing Open Claw than actually using it. The forums were full of people sharing workarounds — how to refresh memory, how to reinstall, how to patch this or that. A whole ecosystem of people debugging a tool that was supposed to save them time. That's not a tool. That's a hobby project dressed up as a tool. And then I saw a tweet from the OpenClaw founder that genuinely bothered me. He said — openly — that he intentionally designed Open Claw to be difficult. That it was built for technical users. That the barrier to entry was a feature, not a bug. Think about that for a second. Who gave anyone the right to decide who gets to use powerful technology and who doesn't? That philosophy directly contradicts what this whole space is supposed to be about. Technology should lower barriers, not build new ones on purpose. Then I found Hermes. from @NousResearch First session — no crashes. Second session — no crashes. Week one, month one, still going. Not a single failure since installation. That alone put it in a different category. But stability is just the floor. What made Hermes different is how it actually executes. I had a task I'd been trying to get OpenClaw to complete for a month. A real work task. Open Claw kept failing, losing context, breaking halfway through. I gave the same task to Hermes. Two days. Done. That's not a small gap. That's a completely different level of engineering. The moment that really showed me what Hermes was capable of — I asked it to send a file from my desktop to Telegram. The file was over 50MB. OpenClaw told me it couldn't do it. File too large. Sorry. I asked Hermes. Same limitation hit. But instead of stopping, it said: "The Skill doesn't support this directly. I'll build a skill to handle it." And within seconds — it built the skill, sent the file, and the skill was saved for future use. That's not an assistant. That's an agent. The difference matters. Hermes works cleanly on both Linux and Mac. The setup is straightforward — no programming background required, no deep technical knowledge needed. You install it, you configure it, you use it. The reliability feels like a product built by a serious team with serious infrastructure behind it. Open Claw feels like a brilliant idea that never got the engineering it deserved. The skill-building capability in Hermes is what separates it from everything else I've used. It doesn't just execute tasks — it learns from them, builds reusable workflows, and gets more capable the more you use it. Every time it solves a new problem, it builds a skill. Every skill makes it faster next time. That's a compounding tool. That's what an agent is supposed to be. If you're still wrestling with OpenClaw, trying to keep it alive between crashes and workarounds — I'm not judging you. I was there. But there's a better option, and the gap between them is wide enough that staying out of loyalty to the original doesn't make sense anymore. Hermes is what AI agents are supposed to feel like.

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Eliana
Eliana@eliana_jordan·
what model powers your openclaw setup?
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Da7em
Da7em@Da7_Tech·
@witcheer I think Qwen 3.6 9B is gonna be huge, especially for 8 VRAM and 16GB unified.
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witcheer ☯︎
witcheer ☯︎@witcheer·
nvidia released a 30B-A3B multimodal MoE last week (apr 28). vision, audio, video, text in one model. 25GB RAM via unsloth GGUFs. if you want full multimodal use llama.cpp, unsloth studio, or LM studio. also, it won't fit on 16GB unified memory or 8GB VRAM without CPU offload. needs 32GB unified mac or a windows box with 32GB DDR5. >>> if you have 16GB and still want vision: my advice is to stay on qwen3.5-VL via ollama. don't bother with nemotron omni until ollama lands the mmproj support. >>> if you have 25GB+ and want one model handling documents, audio transcription, and video reasoning: pull nemotron omni via llama.cpp.
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Da7em
Da7em@Da7_Tech·
@mweinbach I get that, but usually, the speed mode is a bust.
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Max Weinbach
Max Weinbach@mweinbach·
@Da7_Tech To see how far it will get and how far the rate limits get me
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witcheer ☯︎
witcheer ☯︎@witcheer·
I updated my HuggingFace hardware set up and I am now less poor than before
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Da7em
Da7em@Da7_Tech·
@kimmonismus It's bad on Windows and Mac, but great on Linux.
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Chubby♨️
Chubby♨️@kimmonismus·
Why is the search function in Windows so incredibly bad? I don't understand it. On the one hand, Windows wants to integrate CoPilot AI everywhere. And then the OS is so bad that you can't even find the simplest things.
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Da7em
Da7em@Da7_Tech·
@simplydt @openclaw The biggest metric for me was reliability under real work. OpenClaw felt impressive until the task got serious; Hermes kept executing without breaking. The 50MB Telegram file case was the clearest proof: it didn’t stop at the limitation, it built around it.
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Da7em retweetledi
Da7em
Da7em@Da7_Tech·
Why I Quit @openclaw and Never Looked Back I was one of the early users. Day one. Back when it was still called ClawdBot. And the first feeling? Revolutionary. I genuinely felt like I was touching the future. An AI agent that could execute tasks on your machine — that was a different category from everything else at the time. But then reality set in. The thing kept breaking. Constantly. Warnings, errors, failures mid-task. I was spending more time fixing Open Claw than actually using it. The forums were full of people sharing workarounds — how to refresh memory, how to reinstall, how to patch this or that. A whole ecosystem of people debugging a tool that was supposed to save them time. That's not a tool. That's a hobby project dressed up as a tool. And then I saw a tweet from the OpenClaw founder that genuinely bothered me. He said — openly — that he intentionally designed Open Claw to be difficult. That it was built for technical users. That the barrier to entry was a feature, not a bug. Think about that for a second. Who gave anyone the right to decide who gets to use powerful technology and who doesn't? That philosophy directly contradicts what this whole space is supposed to be about. Technology should lower barriers, not build new ones on purpose. Then I found Hermes. from @NousResearch First session — no crashes. Second session — no crashes. Week one, month one, still going. Not a single failure since installation. That alone put it in a different category. But stability is just the floor. What made Hermes different is how it actually executes. I had a task I'd been trying to get OpenClaw to complete for a month. A real work task. Open Claw kept failing, losing context, breaking halfway through. I gave the same task to Hermes. Two days. Done. That's not a small gap. That's a completely different level of engineering. The moment that really showed me what Hermes was capable of — I asked it to send a file from my desktop to Telegram. The file was over 50MB. OpenClaw told me it couldn't do it. File too large. Sorry. I asked Hermes. Same limitation hit. But instead of stopping, it said: "The Skill doesn't support this directly. I'll build a skill to handle it." And within seconds — it built the skill, sent the file, and the skill was saved for future use. That's not an assistant. That's an agent. The difference matters. Hermes works cleanly on both Linux and Mac. The setup is straightforward — no programming background required, no deep technical knowledge needed. You install it, you configure it, you use it. The reliability feels like a product built by a serious team with serious infrastructure behind it. Open Claw feels like a brilliant idea that never got the engineering it deserved. The skill-building capability in Hermes is what separates it from everything else I've used. It doesn't just execute tasks — it learns from them, builds reusable workflows, and gets more capable the more you use it. Every time it solves a new problem, it builds a skill. Every skill makes it faster next time. That's a compounding tool. That's what an agent is supposed to be. If you're still wrestling with OpenClaw, trying to keep it alive between crashes and workarounds — I'm not judging you. I was there. But there's a better option, and the gap between them is wide enough that staying out of loyalty to the original doesn't make sense anymore. Hermes is what AI agents are supposed to feel like.
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Da7em
Da7em@Da7_Tech·
Valve doesn't do things halfway. Steam itself changed how games are sold forever. The Steam Deck made everyone question why consoles cost what they cost. Proton made Linux a legitimate gaming platform almost overnight. When Valve builds something, they're playing a different game than everyone else. And now Steam Machine is coming. Sony should be nervous. Here's why. PS5 Pro with the disc drive and stand crosses $1,000. Prices just went up again in April 2026. And the PS6 won't be cheaper — every generation you're expected to start over. Steam Machine is coming in with stronger hardware, a Linux foundation that gives you complete control, and a price point Sony cannot match at the same spec level. But more important than specs: ownership. On a Steam Machine, you own the hardware. You can change the OS, customize everything, run whatever you need. The machine doesn't expire. No firmware update artificially limits it to push you toward a newer model. On PlayStation, Sony decides when your console becomes last-gen. Spider-Man 2 didn't come to PS4 — not because the hardware couldn't handle it, but because Sony uses exclusivity to move you from box to box on their schedule. That mechanic doesn't exist on a Steam Machine. Valve's new controller uses full hall effect magnetic sensors. No physical contact means no drift. Ever. The DualSense drift problem is an engineering choice — a cheap one. Valve chose differently. At $80 per controller on a $1,000 system, Sony chose differently too. Proton changed Linux gaming from a hobby to a real platform. The trajectory is clear — more games every month, more studio support, better drivers. We're not at full parity yet — Nvidia ray tracing and DLSS still run best on Windows, I'll say that honestly. But the gap is closing fast. Sony built an empire on locking people in. Exclusive games as leverage. Subscriptions as toll booths. Price hikes as loyalty tests. Steam Machine changes that calculation. Stronger hardware. A platform you actually own. No mandatory subscriptions. Backward compatibility by default. A controller that won't end up in the trash. So what exactly is Sony selling you? A brand. A logo. And a cycle they trained you to accept. Valve is selling you a machine.
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Da7em
Da7em@Da7_Tech·
Imagination Is the New Currency The playing field just got leveled. And most people haven't even noticed yet. For the first time in human history, what you can build is no longer limited by the resources behind you. A kid in a bedroom with a laptop and a clear vision can now build what used to require a team of 50, a six-figure budget, and three years of grinding. The tools are everywhere. They're cheap. Some of them are free. So if the tools are no longer the barrier — what is? Your mind. That's it. That's the whole game now. Not your degree. Not your network. Not your funding. Your imagination. Your ability to think clearly, see what others don't, and turn a sharp idea into something real. That's the most valuable asset on earth right now — and it's the one thing that can't be downloaded, subscribed to, or copied. Think about what that actually means. Thirty years ago, if you wanted to build a product, you needed a factory, a distribution network, a marketing department, and years of runway. Today? You can design it, prototype it, market it, and ship it to the exact people who need it — all before lunch. The bottleneck was never creativity. It was always access. And access just became free. But here's the thing nobody talks about: the tools amplify whatever you bring to them. Bring a sharp mind and they make you dangerous. Bring a foggy, distracted, junk-fed brain and they make you mediocre at scale. Brain rot is real. Doom-scrolling is real. The noise is real. And the people winning right now are the ones who protect their thinking like it's their most valuable possession — because it is. The gap between you and the person who built something incredible isn't tools anymore. It's not money. It's not connections. It's the quality of thought behind the execution. How deep do you think? How original are your ideas? How clearly can you see a problem and architect a solution? Sharpen that — and the tools will do the rest. We are genuinely starting ahead of every generation before us. Someone 30 years ago needed an entire institution to do what you can do alone on a Tuesday afternoon. That's not an exaggeration. That's just the reality of where we are. The build is no longer the hard part. The hard part is thinking well enough to know what to build — and being creative and strategic enough to get it to the people who actually need it. Distribution matters. Clarity matters. Creativity matters. But none of it works without a mind sharp enough to drive it. Protect your thinking. Cut the noise. Go deep. The tools are ready. The question is whether you are.
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Da7em
Da7em@Da7_Tech·
I'm not racist, but let's be real — the worst people on X are consistently Indian, and if there's one country I'd never set foot in, it's India. Hard pass.
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