Sr Programmer/Analyst. Web Dev Consultant. #Canadian #Futurist #AI #Entrepreneur #Photographer #Founder of @Navlar #Blockchain
Toronto, Ontario
Joined May 2009
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Jan Miranda retweeted
Aurora Viewing TONIGHT as the Second Geomagnetic Surge is about to BEGIN 💥 nitter.gq/i/broadcasts/1ypKdqXZP…
Jan Miranda retweeted
With 100+ pages of new and edited content, the brand new version of The Simulation Hypothesis is the definitive edition. It's must have for those that want to discuss simulation theory.
Available now - order 🔗 👇🏽
Jan Miranda retweeted
One of my all-time favorite type of videos is pre-fame bands playing their extremely famous songs to a tiny room of people, because they're not yet known.
A thread of some examples:
Bastille playing Pompeii in what looks like someone's living room:
Nature flexing its raw power. This is how a tornado is born 🌪️🔥
#Tornado #ExtremeWeather #NatureIsMetal #ScienceInAction
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At the Toronto DAO x Sui Community event diving into #DecentralizedAI. Heisenberg Network is all about deployable, personalized context for AI. Blockchain x AI is heating up. Who else is building in this space? #Web3 #AI #Sui #PrivacyTech #HeisenbergNetwork #TorontoTech
NASA Spacewalk
LIVE: Two @NASA_Astronauts, Nick Hague and Suni Williams, step outside of the @Space_Station to support station upgrades, including repairs to our NICER (Neutron star Interior Composition Explorer) X-ray telescope. nitter.gq/i/broadcasts/1MYxNModb…
Jan Miranda retweeted
Celebrities Who Have Lost Homes in the Los Angeles fire..
Thread~🧵
1. Julia Louis-Dreyfus
Jan Miranda retweeted
These are not CGI. Reinforcement learning is so back. When operating on strings, it gives us o3. When operating on physical motors, it gives us a perfect humanoid backflip and a robot creature that out-maneuvers almost every animal on earth. RL is one of the only learning algorithms that can master both the world of bits and the world of atoms.
Give me a reward function, and I shall move the world.
2025, Year of RL.
Seeing the o3 leap in this chart is a stark indication we’re either at AGI or just a step away. I’m more convinced than ever that we’ve either reached AGI or are on the cusp of it. The exponential rise is undeniable—and it’s a thrilling moment for AI!
ARC-AGI scores for past five years of OpenAI models (updated w/ release dates)
ALT Matplotlib scatter plot of ARC-AGI score data from @mikeknoop’s quote-tweeted post ARC-AGI semi-private v1 scores: * GPT-2 (2019): 0% * GPT-3 (2020): 0% * GPT-4 (2023): 2% * GPT-4o (2024): 5% * o1-preview (2024): 21% * o1 high (2024): 32% * o1 Pro (2024): ~50% * o3 tuned low (2024): 76% * o3 tuned high (2024): 87%
Jan Miranda retweeted
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks.
It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task in compute ) and 87.5% in high-compute mode (thousands of $ per task). It's very expensive, but it's not just brute -- these capabilities are new territory and they demand serious scientific attention.
