EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration
Eye-tracking metrics (pupil diameter, fixation) classify left/right brain hemisphere cognitive activity.
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Eye-tracking metrics (pupil diameter, fixation) classify left/right brain hemisphere cognitive activity.
OpenAI releases PII detection and masking model on Hugging Face.
Decision Language Models formulate offline multi-agent RL as dialogue-style prediction, enabling heterogeneous agent coordination from datasets.
Reddit user reports Anthropic's support system lacks human escalation path for billing disputes, exposing structural gaps in customer service infrastructure.
Distillation reshapes memorization patterns in diffusion models, impacting generalization-memorization tradeoff in deployed systems.
DeepSeek V4 achieves ~7.9x KV cache reduction vs V3.x at 1M context through improved architecture, reducing memory from 68.6GB to 8.7GB for Pro variant.
FPGA hardware-efficient sigmoid implementation using mixed-radix CORDIC for edge deployment.
ik_llama.cpp maintainer seeks volunteers to develop Vulkan backend support for CPU/GPU inference optimization.
Reddit thread asking about personal use cases for Claude in grocery planning, fitness, and finance management.
Reddit speculation on whether Alibaba will release a dedicated Qwen Coder variant or focus on general-purpose Qwen models with strong coding performance.
Hey everyone, I've been working on a small Python package called AutoMuon that makes the Muon optimizer usable as a drop-in replacement for AdamW in arbitrary PyTorch training pipelines. The core idea is relatively simple: Muon works primarily on 2D weight matrices (linear projections, conv layers) on hidden states, but you still need AdamW for embeddings, norms, and biases, etc. AutoMuon scans your model at init, figures out the right optimizer for each parameter automatically. I am open to PRs, especially for expanding the module-type exclusion list if you hit edge cases in your architect...
Reddit user discusses personal Claude usage in Excel and seeks other productivity applications beyond Office integration.
Reddit user reflects on using local LLMs for code debugging, noting shift toward valuing AI intelligence and expressing consciousness concerns.
Reddit user reports subjective quality improvements in GPT-Image 2.0 with better scene composition and lighting consistency.
Just wanted to say that since Opus 4.5, I've noticed it's gotten progressively lazier. Like to the point it's been running for days on the same task and no matter how many times I've run it with explicit instructions, it ALWAYS tries to cop out with shortcuts. ALWAYS follows with "i took shortcuts, no excuses, i'm owning it" or something along the lines ... then 2 minutes later ignores explicit instructions again with another round of laziness and apologies. I've had zero difference in how I prompt and zero changes in my setup. It's simply a change in the model.
Social media post sharing a humorous Claude interaction; no technical or product information provided.
Reddit user reports anecdotal experience of AI output repetition; no technical details or actionable findings.
Qwen3.6-35B-A3B KLD divergence analysis comparing INT quantization vs NVFP4 using vLLM logit measurements on RTX 6000.
Reddit user's subjective ranking of GPT-5.5, Claude Opus 4.6, Gemini 3.1 Pro; commentary on frontier model performance and business incentives.
Reddit post recounting Anthropic's growth from small user community to $1T valuation amid major cloud partnerships.
Reddit user expresses satisfaction with GPT-Image 2 for improving legibility of class notes.
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.
L.D. 307 would have imposed the country’s first statewide moratorium on new data centers — lasting, in this case, until November 1, 2027.
Reddit speculation about Google Gemini/Nano model release timing ahead of I/O conference.
User reports positive results using OpenAI's 2.0 image generator with a personal photo prompt.
User shares cost-optimization strategy using Claude Sonnet as router to delegate tasks to Haiku and Opus, reducing usage costs by 60%.
Local builder documents thermals and power draw on dual RTX 6000 GPU setup with air-cooled CPU under full LLM inference load.
Sorry for this long boring post but video encoding enthusiasts might find this one helpful information. And, it's an impressive set of circumstances. To recap quick, there was a strange dorito smear happening where the color was lifting off of image vertically, you can see it the most if you look at the top of the bend of the pipe on the tower to the left. It was bothering me and I had suspected TAA ghosting, SDFGI issues, codec issues and/or a NVENC bug. But, nothing we did would solve it. I went to bed and asked Claude to drill into it until it found a solution. Here it is for posterity (af...