oMLX hits 47 tokens per second on a base M2 MacBook Pro by offloading context to the SSD. We explore how native MLX features achieve 3x faster generation than LM Studio in our latest test.

📈 As memory supply tightens into 2027, Japanese consumers may be among the hardest hit, with #SSD# prices reportedly surging across PC retailers—led by #Samsung#, where certain flagship 9100 Pro models are said to have jumped as much as 300%.💡More: 🔗

Mac Studio and Mac Mini demand is unreal. About half of the configurations are straight up just not available and the other half require a 10-12 week minimum lead time. A new M3 Ultra 28-Core CPU 60-Core GPU 96GB RAM 1TB SSD sells for around a $2,300 premium on eBay. Picks and shovels!

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Open-source AI is ruthlessly out-innovating the trillion-dollar monopolies. 🚀 Big labs are burning billions brute-forcing AGI on massive GPU clusters. Meanwhile, the open ecosystem is structurally forced to innovate on inference—and it's working. Look at what just happened: - DeepSeek v4 using SSDs for KV cache. - Breakthroughs like TurboQuant and Kimi K2 are aggressively compressing memory and driving the cost of intelligence to near zero. When you don't have infinite compute, you actually have to engineer better solutions. Constraints breed miracles. By solving the KV cache bottleneck, scrappy open-source builders are creating vastly cheaper and more profitable AI than the bloated closed-source giants. Hacker culture > GPU monopolies. Period.

🚨 OPEN SOURCE AI IS LITERALLY UNSTOPPABLE 🚨 The legendary founder of Redis (Antirez) just dropped ds4 - a custom native inference engine built specifically for DeepSeek v4 Flash This is earth shattering! Here is why: DeepSeek v4 Flash is a quasi-frontier model with a massive 1M context window You can now run it LOCALLY on a 128GB Mac using specialized 2-bit quantization The architecture is reimagined—he moved the KV cache from RAM directly to the SSD disk! 🤯 We already know DeepSeek v4 Flash is insanely good for agentic loops - Now you don't even need the cloud to run it Closed-source labs are burning tens of billions on massive GPU clusters while single brilliant developers are running frontier-level AI on laptops! They told us open-source would be worthless against trillion-dollar monopolies Instead, pure hacker culture + incredible open-weight models are completely rewriting the rules Open Source will ALWAYS win 💕