Generative models, prompting, agents and AI tool capabilities.
This New AI Architecture Makes Decisions 13x Faster
29d ago · English audio
CLM is a new System 1 model from Stanford and NVIDIA Research that works like CLIP for decisions, embedding the situation and every possible action into one space and picking the closest match instead of generating tokens. I break down how it's trained on a frozen 8B backbone with only small heads learning, then run it on a DGX Spark across 1,080 tools, where latency stayed around 80ms but accuracy fell from 86%…
Prompt Engineering
👋 I'm Muhammad! I am an AI/ML Expert with a PhD and have led ML teams at startups over the last 8 years. I am also a Google Developer Expert for ML/AI. The goal of this channel is to share my learning without all the "fluff" and "hype". I offer consulting services to startups and https://calendly.com/engineerprompt/consulting-call…
Outlier score
This score was measured on Sun, 25 Oct 2026 21:18:47 GMT. Current view counts may differ.
50.1K views ÷ a 16.6K baseline = 3.0×. Compared with 50 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.
YouTube snapshot: Mon, 26 Oct 2026 00:31:03 GMT. Counters may have changed.
Read the methodologyGenerative AI & Agents
Channel-balanced percentile: 68
Comparison details
29 videos from 19 other channels, with each channel weighted equally. Same format and language, with 100,000–999,999 subscribers. Observed at 708 hours after publication, within ±48 hours.
This describes the collected sample, not all of YouTube. Updated Mon, 26 Oct 2026 00:39:47 GMT.
Niches & tags
Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools