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jaken ty

@tycoi2005

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laptop Katılım Eylül 2010
91 Takip Edilen163 Takipçiler
송준 Jun Song
송준 Jun Song@songjunkr·
DO NOT ASK AI ANYTHING ABOUT LOCAL LLM. They are not up to date. 😡 Q : what is optimal local llm for 3090 gpu? Gemini-3.1-pro : Qwen 2.5, Llama 3.1 GPT-Instant : Qwen3.6 35b, Qwen3 30b Sonnet-4.6 : Qwen3 14b, Qwen3.5 27b, Deepseek R1 Grok-Fast : Qwen3.5, Qwen3, GLM-4.7-Flash None of these are correct answer. Same results from Opus-4.7, Grok4.3, Gemini Deepthink. Only GPT5.5-PRO got the right answer : Qwen3.6-27b Now I know why people keep saying local LLM is stupid. 😮‍💨
송준 Jun Song tweet media송준 Jun Song tweet media송준 Jun Song tweet media송준 Jun Song tweet media
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Karan
Karan@karankendre·
With no laptop? Was he using GitHub Mobile to access the repo? Was he coding on paper or on Notes App?
Sukh Sroay@sukh_saroy

A 16-year-old in Pakistan with no laptop just got into MIT. He learned everything from one GitHub repo. It's the largest collection of free university CS lectures on the internet, and it's quietly been replacing $200K degrees for years. Every course from MIT, Stanford, Harvard, CMU, Berkeley, Caltech, Princeton, IIT, ETH Zurich, Oxford, and more. All in one place. All free. All with full video lectures. You can learn: → Algorithms, Data Structures, Operating Systems → Distributed Systems, Databases, Computer Networks → Machine Learning, Deep Learning, Reinforcement Learning → Computer Vision, NLP, Generative AI and LLMs → Computer Graphics, Quantum Computing, Robotics → Security, Blockchain, Computational Biology → Software Engineering, Software Architecture, Concurrency 500+ courses. Every major CS subfield. Taught by the same professors who train the engineers at OpenAI, Google DeepMind, and Anthropic. MIT 6.006 Introduction to Algorithms. Stanford CS229 Machine Learning. CMU 15-445 Database Systems. Berkeley CS 188 Artificial Intelligence. Harvard CS50. The exact lectures students pay six figures to sit through. Sitting in a public repo. Free. 76.5K stars. 10.4K forks. 100% Opensource.

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jaken ty
jaken ty@tycoi2005·
@haider1 all new jobs are for ai and robots, not human
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Haider.
Haider.@haider1·
sam altman: "many current jobs will go away, but we will find a lot of new ones" idk, but if we reach true AGI, any new jobs created will likely be done by that same AGI system so if sam thinks humans will still have work, he needs to explain what those jobs are and why only humans can do them because if AGI can't do it, maybe it's not true AGI
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tara_
tara_@TechByTaraa·
Bro disappeared like never existed.
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Kappaemme
Kappaemme@Kappaemme1926·
Vibe coders, would you take 1. Claude Max in 2010 OR 2. $1,000,000
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Darshan
Darshan@THEdort01·
@pseudokid I keep hitting error on DeepSeek V4 thinking mode: ‘The reasoning_content in the thinking mode must be passed back to the API’. Client isn’t forwarding the reasoning block correctly on subsequent calls. Any workaround on OpenCode Go?
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raymel 👋
raymel 👋@pseudokid·
OpenCode Go is practically unlimited with Deepseek V4 Flash Even at max thinking, which is pretty decent, I'm spending ~2% of my monthly limits a day At that pace, it's ~50 8h session days a month! Double that to 16h a day, and it gives you 33.3 days making ~4%/day its ceiling
Lotto@LottoLabs

Update on Opencode Go It’s great value for $5/month, there’s really no reason not to do the first month. At $10/month it’s still good value and gets you access to all sota OS models. You can’t daily drive it without hitting limits on the big models but w/ Kimi x3 you won’t hit limits unless you’re insane. Overall highly recommend the first month, then make your own decision.

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Lotto
Lotto@LottoLabs·
Update on Opencode Go It’s great value for $5/month, there’s really no reason not to do the first month. At $10/month it’s still good value and gets you access to all sota OS models. You can’t daily drive it without hitting limits on the big models but w/ Kimi x3 you won’t hit limits unless you’re insane. Overall highly recommend the first month, then make your own decision.
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Bridgebench
Bridgebench@bridgebench·
Qwen 3.6 Max Preview is the most honest open source model on the planet. It just took #2 on BridgeBench's BS Benchmark. Claude Opus 4.6: 95.0 Qwen 3.6 Max: 94.5 Claude Sonnet 4.6: 91.5 GPT-5.4: 91.5 A Chinese model pushes back on nonsense better than every OpenAI model.
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jaken ty
jaken ty@tycoi2005·
@Hedgeye does it mean China young people now can afford houses, like their parents?
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Hedgeye
Hedgeye@Hedgeye·
🚨 China's Real Estate Market has erased all gains from the last 20 years
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jaken ty
jaken ty@tycoi2005·
this one beat sonnet, gpt, grok, deepseek
jaken ty tweet media
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jaken ty
jaken ty@tycoi2005·
Sonnet passed, outperform gpt, deepseek, and grok
jaken ty tweet media
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jaken ty
jaken ty@tycoi2005·
new AGI test :3
jaken ty tweet media
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jaken ty
jaken ty@tycoi2005·
let me find another
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BridgeMind
BridgeMind@bridgemindai·
You're paying $1.74/$3.48 per million tokens for DeepSeek V4 Pro to train on your prompts. Read that again. You pay them. They use your code to make their model better. OpenRouter's privacy guardrails literally block it by default. Ranked #14 on LMArena Code. Trains on your data. And you're paying for the privilege. This isn't an AI model. It's a data collection service you pay a subscription for.
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ollama
ollama@ollama·
deepseek-v4-flash is now available on Ollama's cloud! Hosted in the US. Try it with Claude Code: ollama launch claude --model deepseek-v4-flash:cloud Try it with OpenClaw: ollama launch openclaw --model deepseek-v4-flash:cloud Try it with Hermes: ollama launch hermes --model deepseek-v4-flash:cloud Try it with chat: ollama run deepseek-v4-flash:cloud (DeepSeek V4 Pro is coming shortly) 🧵
DeepSeek@deepseek_ai

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

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ollama
ollama@ollama·
Qwen 3.6 27B model is available on Ollama! Use it with all the integrations in Ollama or chat with the model. Chat with the model: ollama run qwen3.6:27b OpenClaw: ollama launch openclaw --model qwen3.6:27b Claude Code: ollama launch claude --model qwen3.6:27b More 👇👇👇
Qwen@Alibaba_Qwen

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇 What's new: 🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks 💡 Strong reasoning across text & multimodal tasks 🔄 Supports thinking & non-thinking modes ✅ Apache 2.0 — fully open, fully yours Smaller model. Bigger results. Community's favorite. ❤️ We can't wait to see what you build with Qwen3.6-27B! 👀 🔗👇 Blog: qwen.ai/blog?id=qwen3.… Qwen Studio: chat.qwen.ai/?models=qwen3.… Github: github.com/QwenLM/Qwen3.6 Hugging Face: huggingface.co/Qwen/Qwen3.6-2… huggingface.co/Qwen/Qwen3.6-2… ModelScope: modelscope.cn/models/Qwen/Qw… modelscope.cn/models/Qwen/Qw…

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Keşfet

@songjunkr @karankendre @haider1 @TechByTaraa @thewebbie @Kappaemme1926 @THEdort01 @pseudokid