Do you know about the original vampire ending for Marty Supreme? (You heard me.)
Features | The Verge
• Victoria Song
When you picture a virtual reality headset user, you're probably not picturing someone like Sherry Dickson. At 69, the snowy-haired, retired elementary school teacher hops into her Meta Quest headset five days a week, for roughly 60 to 90 minutes at a time. She's not attending live concerts or watching immersive films. Dickson, a fitness […]
The Atlas Obscura Podcast
• SiriusXM Podcasts & Atlas Obscura
This story is about a heist that took place back in 2013 – not at a museum, or a gallery, or a royal palace, but at a garden. What these thieves were after… were Venus Fly Traps. We visit the Stanley Rehder Carnivorous Plant Garden in Wilmington, North Carolina to learn about plants that eat meat, a venus fly trap lover with a vanity license plate, and the shocking $20,000 heist that’s still an unsolved mystery.
Learn about visiting the Stanley Rehder Carnivorous Plant Garden…
If you’re in the market for a Venus Fly Trap, check out this guide from the US Fish and Wildlife Service about how to avoid poached plants
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TIL: Running OpenClaw in Docker
I've been running OpenClaw using Docker on my Mac. Here are the first in my ongoing notes on how I set that up and the commands I'm using to administer it.Here's a screenshot of the web UI that this serves on localhost:
Tags: ai, docker, til, generative-ai, llms, ai-agents, openclaw
When horrible people make bad art, the reviews are fun to read. Melania doc review: “Trump film is a gilded trash remake of The Zone of Interest” and “it’s one of those rare, unicorn films that doesn’t have a single redeeming quality”.
“The end of Temporary Protected Status has Holocaust survivors offering to hide Haitian staffers, according to the CEO of a senior-living center in Florida.” The CEO of the center: “That reminds me of Anne Frank.”
Originally in 2019, GPT-2 was trained by OpenAI on 32 TPU v3 chips for 168 hours (7 days), with $8/hour/TPUv3 back then, for a total cost of approx. $43K. It achieves 0.256525 CORE score, which is an ensemble metric introduced in the DCLM paper over 22 evaluations like ARC/MMLU/etc.
As of the last few improvements merged into nanochat (many of them originating in modded-nanogpt repo), I can now reach a higher CORE score in 3.04 hours (~$73) on a single 8XH100 node. This is a 600X cost reduction over 7 years, i.e. the cost to train GPT-2 is falling approximately 2.5X every year.
Tags: andrej-karpathy, gpt-2, generative-ai, ai, llms, openai
I learned two important pieces of news in this post: 1) Frozen OJ from concentrate as a product is being discontinued by major producers. 2) Beverage analysts refer to market share as “share of throat.” And I think that’s just lovely.
