Technical AI news, automatically curated and generated
For the EgoLongQA track of the ECCV 2026 Wearable-AI Challenge, researchers developed "Ambient," a compact vision-language model designed for long-video perception in ten-minute egocentric clips. The system achieved firs…
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Researchers have introduced Benchmark Radar, a comprehensive living database and search engine designed to streamline the discovery and evaluation of AI benchmarks. Addressing the challenges of locating relevant datasets…
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Microsoft's September patch release marks a significant escalation in cybersecurity maintenance, addressing a record-breaking 972 vulnerabilities. When including the porting of Chromium browser fixes for Microsoft Edge, …
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The $3.2 billion Lake Mariner AI data center project in Somerset, New York, has highlighted significant accountability gaps within the complex corporate structures driving the AI infrastructure boom. Owned by TeraWulf—wh…
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Spammers have repurposed "ASCII smuggling," a technique originally designed to facilitate stealthy prompt injection attacks against Large Language Models (LLMs), to bypass email security filters. This method utilizes a s…
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It's still a dream for many folks to run medium size(30B range) models @ Q8 with Unquantized KVCache (256K Context) on their GPUs. It would be awesome to have DeepSeek-V4.1-Flash's
→ View original sourceI can get $5k for the 5090 and the Mac is $5499 before tax. The 5090 has a memory bandwidth of 1.8 TB/s while the M5 Ultra is 1.2 TB/s. Is this a sensible upgrade? Primary use is coding.
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Hi! I don't know much about this area of "sub-models" (I'm not sure of the technical term), but I wanted to know what these "Uncensored" models actually are. I
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  submitted by   /u/badumtsssst   to   r/singularity [link]   [comments]
→ View original sourceA user reports having a dense ~9.4‑billion‑parameter language model ready for training, featuring a 1/2/3 Engram table, Moonshot's AttnRes attention, and RoPE/NoPE layering at a 3:1 ratio, initialized with the Llama 3 to…
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A software engineer built a PC with 64GB of VRAM to run local AI models, rejecting subscriptions to OpenAI and Anthropic due to concerns about dependency on proprietary services. They previously found limited usefulness …
→ View original sourceNgl, I keep seeing posts from people running local LLMs. Most of the time the setup is a 3080, 3090, 4090, 5090, sometimes a whole mini lab. Cool. I get it. It's fun to test every open source model
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