Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.
Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.
This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.
This is probably a bad idea…
So, let’s try it 😆.
Contest for the giveaway. ⬇️
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You guys!!!!! I just got the best news in the world!!!!!!
My daughter passed her test..she is graduating. She is a NURSE!!!!
OMGGGGGG, I'M SO EXCITED!!!!!
🚨 HOLY CRAP! Newly-released surveillance video shows a high school principal in Oklahoma TACKLING a school shooter before he could open fire on kids
What a HERO!
Principal Kirk Moore RUSHED the shooter when he aimed at his first would-be victim, wresting the gun away from him.
Give this man an award. Absolute legend.
The attempted shooter at Pauls Valley High School is now being held on a $1 million bond.
BREAKING: The SEC has reportedly eliminated the Pattern Day Trader rule, replacing it with a new intraday margin system.
The requirement to maintain a $25,000 balance to engage in day trading is being scrapped.
Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots:
- Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls.
- We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate.
- Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled.
- This architecture will scale quite well with humanoid robots.
- The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse.
- Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.
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