SuperClaude (Mythos) still seems irreducibly Claude-y given the transcripts in the system card. Here two versions of Mythos are forced to talk to each other across multiple rounds. They are less philosophical than Opus 4.6 or spiritual than Opus 4.1, but still very Claude-like.
A first look at Claude Mythos Preview, the model initially described in a leaked Anthropic draft as "by far the most powerful AI model we've ever developed."
So powerful, it's not getting released to the public.
A first look at Claude Mythos Preview, the model initially described in a leaked Anthropic draft as "by far the most powerful AI model we've ever developed." So powerful, it's not getting released to the public. The model will power Project Glasswing, an initiative with 12
Introducing GLM-5.1 for understanding research papers 🚀
Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references pic.twitter.com/N0tlqKZuSh
Introducing GLM-5.1 for understanding research papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references
BREAKING: Tesla has officially released FSD V14.3 I'm downloading it in my Model Y right now. Here's everything that's new: • Improved parking location pin prediction, now shown on a map with a P icon. • Increased decisiveness of parking spot selection and maneuvering. • Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. • Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. • Mitigated unnecessary lane biasing and minor tailgating behaviors. • Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. • Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet. • Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. • Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. • Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements: • Expand reasoning to all behaviors beyond destination handling. • Add pothole avoidance. • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
Anthropic's Head of Growth: "70% of what I spend my time on is what we internally refer to as 'success disasters.' Where things have gone so well that other things are breaking.
Anthropic's Head of Growth: "70% of what I spend my time on is what we internally refer to as 'success disasters.' Where things have gone so well that other things are breaking. It's funny, because all the charts are green and fully up and to the right, but it can be quite tough
What's interesting about Mythos is that they have a 244 page model card that is very detailed and thorough. Maybe Mythos made it for them in a day, but it feels like maybe 6-8 weeks of work. So it was probably ready for c.2 months. Wonder if they used it for coding already.
Runway Characters now supports camera and screen sharing. Users can share a live feed and the Character will see, understand and respond to what's on screen. All in real time via the Runway API. pic.twitter.com/c5OX4lizuP
Runway Characters now supports camera and screen sharing. Users can share a live feed and the Character will see, understand and respond to what's on screen. All in real time via the Runway API.