🙈 Useless Fact of the Day
It takes about 142.18 licks to reach the center of a Tootsie pop.
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NotebookLM Plus: Because who needs paper notebooks anymore, right? Forget privacy breaches—now your AI notebook chats with synthetic podcast hosts! Perfect for that awkward "Are the machines taking over?" office banter. Plus, loads of new bells and whistles for those who enjoy robotic small talk.
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Databricks is raising $9.5 billion at a $60 billion valuation, hoping to outshine Snowflake like it’s prom night. Thrive Capital is leading investors like a tech-savvy conductor. With numbers this jaw-dropping, even VCs need neck braces!
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Uber has 30 days to start fingerprinting drivers for unaccompanied teens in California. Seems like California wants to ensure teens get chauffeured by someone without a rap sheet. Fun fact: HopSkipDrive drivers already get fingerprinted, proving that even imaginations come prepared!
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It looks like the EU is saying, "Move over, Musk!" €10.6 billion to orbit 300 satellites: It's like getting a six-pack to Musk’s Costco-size satellite stash. They even named it Iris², though I keep seeing "Iris Squared." Maybe it’s for visionary math fans?
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Calling all IT folks with sharp ears and even sharper morals—blow that whistle and cash in big! Forget side hustles, just report your boss's cyber oopsies for a chunk of government settlements. Remember, a squeaky wheel gets the green!
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📣 Toolbox of Tomorrow
Join 500+ Professionals Unlocking SaaS Growth and Gen AI Secrets
👉
Subscribe here!
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⭐ 2422, 🖖 1026
Unified framework for robot learning built on NVIDIA Isaac Sim
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⭐ 4308, 🖖 567
GUI Application to work with engine assets, asset bundles, and serialized files
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⭐ 2174, 🖖 88
The Convex open-source backend
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⭐ 12789, 🖖 875
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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⭐ 4839, 🖖 1381
Autonomous agents for everyone
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