Student of Computer ... • 1d
“Imagine if your brain could instantly recall everything you learned without ever forgetting. That’s what LM Cache does for AI.” That is what LM Cache makes possible. Normally, an AI has to reprocess everything from the beginning each time you ask a question, even if you already asked something similar. With caching, it can store past work and reuse it later. This means faster answers, lower costs, and less wasted energy. But the real impact is long term. As caching improves, AI will be able to: 1). Keep long conversations going without slowing down 2). Work on complex projects for days instead of minutes 3). Run advanced models on everyday devices 4). Cut down the massive energy demands of large models LM Cache is more than a performance trick. It is one of the key steps that will make AI sustainable and powerful enough to grow with us into the future. What do you think : "If AI had a memory like us, what’s the very first thing it should remember?"
Software Developer |... • 3m
Offering APIs with caching + rate limiting. Problem: When users send the same payload multiple times within milliseconds, credits get deducted for each. Why? The first request is still processing, so the cache isn’t ready — the rest hit backend as n
See MoreEntrepreneur I Busin... • 5m
Today’s AI Highlights: Appetizer: 🍏 Apple’s “Siri-ous” problem: Modernized Siri upgrades are delayed until at least 2027, as internal challenges slow progress. Meanwhile, rivals like Amazon and OpenAI surge ahead. Entrée: 🎙️ Google turns your sea
See MoreBuilding Snippetz la... • 5m
AI shouldn’t be a luxury—it should run anywhere, even on low-powered devices, without costly hardware or cloud dependency. Companies like TinyML, Edge Impulse, LM Studio, Mistral AI, Llama (Meta), and Ollama are already making AI lighter, faster, a
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