

Okay inputted that one and made a new one with GPT Image 2 Edit, if anyone who ordered likes this better, let me know and I'll replace your order 😀 x.com/levelsio/statu…

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Okay inputted that one and made a new one with GPT Image 2 Edit, if anyone who ordered likes this better, let me know and I'll replace your order 😀 x.com/levelsio/statu…

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Wanna replace Anthropic/OpenAI? START WITH THIS The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
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Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.

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NEW paper from NVIDIA. (bookmark it) Speed-of-light performance analysis tells you the theoretical floor of a workload, but teams still derive it by hand and freeze it. SOLAR automates the whole thing straight from PyTorch or JAX source. An LLM frontend translates arbitrary
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Lots of advances coming from the open source harness movement (including Moltbook, RAG approaches back in the day, etc.) but they depend on the intelligence of the models created by a small handful of companies & the more intelligent those models, the more others can do with them
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What if you used the new unreal MCP so a lot of the transforms and blocking out even is doing via voice and you can just tweak it

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I made my own little Cloudflare called Pietflare, it's a DDOS and probe detector with AI and with a central IP / ASN / country block list Each server (VPS) sends suspicious probes, or DDOS attempts etc, from the access logs to the central admin and each server pulls a central
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Compression is one way to fight the KV cache wall. The other is to not throw the KV away. LMCache reuses and offloads it to CPU, disk, or S3 instead of evicting. Already plugs into vLLM, SGLang, and NVIDIA Dynamo. Worth a star if you serve LLMs.
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With any serious LLM library, it takes one line to change the core model.