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Intel $INTC shares are up 38% this month, on track for their second-best monthly gain since 1987.
Intel Panther Lake Teardown Taking a look inside Intel’s latest consumer chip and 18A process node
Intel Arc B70 - Qwen3.8-27B - 256K context - exl3 - 4 bits - 16 sequences - 60 tok/s up to 330 tok/s at 16 sequences This costs 1600$
"intelligence too cheap to meter" is finally starting to feel real with GPT-6 sol and luna 2027 will be the year intelligence becomes cheap enough to use almost everywhere
Intelligence is only useful to a point in trading. Often the most intelligent traders are the ones that blow-up. Look at Long Term Capital Management for one of the greatest case studies of this ever.
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Intelligence Doesn’t Equate to Success. The Smartest person in the room attempts to calculate every Risk. They convince themself each Investment decision is too Risky. Risk has to be taken to create Success. There isn’t a Successful person who Won playing it Safe.
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Intellectual courage is rare. Most "brave" people have a cognitive or instinctual routine for Not Thinking Of The Danger, not suspecting that they might be wrong. Consciously walking into the storm is hard. I often think of what Pericles was saying here. This is an X-risk post.
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Intelligence sources say Putin has been backed into a corner, with his forces having suffered 1.5 million casualties, including 500,000 fatalities, in Ukraine, and his invasion effectively at a stalemate. Read more:
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Intel is currently only able to meet ~50% of customer demand for server CPUs, according to CEO Lip-Bu Tan. $INTC $AMD $NVDA
Intel's 32GB Arc Pro B70 finally got a proper Qwen3.8-27B Local AI workout. So this is why the 32GB VRAM is important, even from an Intel GPU. Here is Gigazine's setup. Windows 11 using Unsloth Desktop + llama.cpp ... 🧠 Qwen3.8-27B Q4_K_XL 💾 30.0GB VRAM + ~1GB shared RAM 🚀 23.4 tps Then they tried Q8: 🧠 Qwen3.8-27B Q8_K_XL 💾 30.2GB VRAM + ~1.5GB shared RAM ⚡ 15.9 tps That's a full 27B-class model running at very usable speeds on an Intel GPU. And also tested text-to-image models. 🎨 Z-Image-Turbo 1024×1024 / 8 steps ➡️ ~5.3 sec/image after warmup 🎥 MiniMax H3 video also ran …but these are much slower, demonstrating where Nvidia's more mature AI software stack still matters. The hardware setup... 🎮 Arc Pro B70 💾 32GB GDDR6 ⚡ 608 GB/s bandwidth 🔌 230W And here's the interesting value angle. In Japan, the tested ASRock B70 was selling for: 💰 ¥298,054 while many RTX 5090s were selling above: 💰 ¥900,000 ⚠️ That's Japan-specific street pricing, NOT a universal B70-vs-5090 price comparison. But THIS is why the B70 interests me for Local AI. It won't beat a 5090 but it's giving you 32GB of VRAM at a much lower entry point. 23.4 tok/s on Qwen3.8-27B Q4 good enough for you? 🔗 GIGAZINE review in ALT
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