🎗️ "Medium-Sized" LLM Burners Coming Soon! 🔥 This Could Make Local HyperToken Generation a Reality. ⚡️ NVIDIA’s worst nightmare? 😱 ⚙️ Application-Specific Hardware Taalas new PCIe ASIC board would burn the entire medium-sized Qwen 3.5-27B LLM straight into silicon 🤯 (already doing it with small models) Taalos said medium models on ASIC would be available in their lab by Spring '26. 💭Imagine: 🚫 No more loading weights 🚀 ~10,000 Tokens Per Second locally (Llama 3.1 8B already @ 17,000 tps) 💻 Standard PC slot, ultra-low power (10x less) 🔋 🌍 100% offline with no cloud, no GPU farm 💰 Reddit unit cost rumor $300 to $400 🖥️ Imagine HyperToken generation on your desktop. 🤖 AI agents that think at light speed. ⚡️ Are you ready? 👀

💡New RISC-V @SipeedIO K3 AI-Box Tested ⇢ Yes, it can inference! $600 Local AI option Been waiting for a good post, and @rcarmo came through. Here is what he found 👇 🛠️ HW: Sipeed K3 (32GB LPDDR5, 128GB UFS) 💰 $600 🔋 11W idle/22W load 𖣘 quiet 🖧 10GbE/WiFi 🐧 Bianbu Linux 🧠 Real Benchmarks (llama.cpp fork A100 cores) » TinyLlama: ~36 tps » Gemma4 E2B: ~13 tps » Qwen3.6-28B-REAP-A3B: ~7 tps » Gemma4 E4B: ~6 tps » Gemma 4 26B-A4B: ~5 tps Not bad for a little dev board imho Link to his article in ALT

See what it says at the bottom of the sale page that sells a similarly spec’d AI Max 395 PC w/2TB?

Holy 💩! 56,000 tps has to be a 🌎 Guinness World Record. 🤯 If true, this is the inferencing 👑! FPGAs applied to LLMs can only support smaller samller models. ASICs can handle a much larger LLM. What do you do with 56,000 tokens per second? ⏲️ Responds to a "Hi" prompt in 1 millisecond.

Most are betting Fable 5 will be restored in the new week or so.

More shots of the new AMD Strix Halo Dev PC going head to head with DGX-Spark (ROCm/Vulkan vs. CUDA).

So people are asking where it says Gemini-3-Flash Kimi-K2.6 Deepseek-V4-Pro got within 1% of Fable 5 @ 50% the cost using the new Fusion tool, here it is from @OpenRouter's official blog post. 🧪 What is the DRACO Benchmark? 👇 DRACO (Deep Research Agentic Comparison) is a benchmark designed to test AI models on complex, real-world research tasks. Key details: 📍 Created by Perplexity AI Contains 100 deep research tasks across 10 domains (law, medicine, finance, tech, product comparison, etc.) Evaluates reasoning, tool use, synthesis, factual accuracy, and citation quality Uses a detailed rubric with ~39 weighted criteria per task ⚠️ Is it independent? No, it was developed by Perplexity, so it’s not fully independent. However, the benchmark is public (arXiv) and can be used by anyone.

Is this for real? Did someone leak this intentionally?

🚨 Exciting news! 🔀 OpenRouter Fusion is now available and it might help while Fable 5 is restricted. 💰 A budget panel!! 👀 👀 👉 Gemini 3 Flash Kimi K2.6 DeepSeek V4 Pro ➤ scored within 1% of Fable 5 performance at roughly half the cost How to use it:. → Set model to "openrouter/fusion" 🔧 It runs server-side with tools enabled and supports custom panels. 🛡️ Set up ZDR for additional privacy!!!

People are waking up to the reality that the AI we use every day can be taken away or priced out of reach.

It's hard to believe that, with all the AI news this week, WWDC '26 was just last Monday.

"Token austerity" advice coming from Big Tech is bizarre indeed. Strange times we live in for sure.

🚀 📰 GLM-5.2 Status Update Here's where things stand right now: ✅ Available today! → GLM Coding Plan users (Lite, Pro, Max, Team) ⏳ API Chatbot → Launching next week ⏳ Open Source (MIT) → Releasing next week on Hugging Face 📊 Currently on AgentArena ❖ GLM-5.2 brings strong coding performance 1M context. Full public release is coming soon.

Maybe this is a better deal.

Best open source model today. Now just need 256GB of VRAM to run it.