Using FSD is far safer than driving manually, as measured over 12 billion miles of its use. Safer by a margin of 2x the miles between collisions!
It can do so, because, FSD is trained on corner cases extracted from more than a 1000 lifetimes of driving. It has learnt to accurately predict the probability of collision even for crazy cases such others running red lights, swerving into us, kids running into roads and such. Do watch the full video for some highlights.
A no-brainer way to significantly improve your and your family's safety is to get a Tesla with FSD. It also completely takes the stress out of driving. Not saying this just because I work at Tesla, rather that it's genuinely a great product already and is continuing to get even better.
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.
This is a 17-place jump from Kimi-k2.6 (#18 -> #1).
In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.
The full model weights will be released by July 27.
Congrats to the @Kimi_Moonshot team on this major milestone!
JUST IN: $14 trillion BlackRock's iShares Core MSCI EAFE ETF (IEFA) has increased its position in #Bitcoin treasury company Metaplanet (3350.T) by 299,300 shares ($438,000).
Bringing its total holdings to 3.72 million shares ($5.44 million).
Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability.
For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.
Metaplanet now holds 43,000 BTC ($2.6B), with total debt and prefs at 23% of BTC NAV.
The balance sheet is robust, the capital channels are being built, and the asset we exist to accumulate is on sale. Forward. $BTC $MPJPY
v14 Lite Release Notes:
– Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
– Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
– Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
– Introduced parking, unparking, and reversing capabilities.
– Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, or at the Curbside.
– Speed Profiles are now available at all times, to further customize driving style preference.