Training process

Tom Pidcock’s training process is no joke. 📉😳 (via IG/christopherblevs)

This is the kind of nonsense baseball training we... have kids doing these days and making pediatric surgeons rich in the process…show more

Space cadet in process of hard training #spacecadet #rubber... #wetsuit #bondage #inflatableanalplug #rubberdrone #drone #gimp #wetsuitboy #wetsuitlad #gimpboy #wetsuitfetish #rubbergay #neoprene #breathecontrol #MSAgasmask #gasmask #heavybondageshow more

An Airbus-led group of Spanish companies presented today the... industrial programme of the Ejército del Aire y del Espacio's new Integrated Combat Training System. Based on a co-development agreement between Airbus, as the prime contractor, and Turkish Aerospace, as the manufacturer of the Hürjet training aircraft, the programme will cover the entire advanced training process for Spanish fighter pilots. Learn more:show more

💭: how’s your body training? 🎸: keep going yeah... 💭: muscle okay? 🎸: alright (2x) 💭: show me 🎸: in a process, in you maniac you will see WILLIAMEST COMFORT ZONE #LaurierxWilliamEst #WilliamEstshow more

Last one on the court at Day 1 of... Dallas Mavericks training camp as Kyrie Irving. Irving went through a lengthy workout with assistant coach Phil Handy as he continue his recovery process.show more

Trust the process. Training forms the foundation of trust,... developed day by day in the surf and on the range. We respect the teams that dedicate themselves now, honing their skills and raising the standard.show more

AI agents often fail because their instructions, or skills,... are manually modified with no guarantee of improvement. Learn how SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights:show more

Frazing rye out of the practice fields. Trying to... get them frazed and begin the grow in process for the team’s return from Training Camp before World Cup matches begin on Tuesday. I have an amazing staff!show more

U.S. Africa Command, supported by U.S. Strategic Command, conducted... a unique training opportunity with Libyan military tactical air controllers to promote the process of reunification of Libyan military and security institutions Feb. 26 in the vicinity of Sirte, Libya.show more

Former Harvard Women's Basketball standout Harmoni Turner settling in... incredible well offensively on Day 1 of training camp! (Saniya hyping her up at the end 🥹) I asked her about how she’s doing, especially in this process in the W. “The process has definitely been uphill, but I know where my end goal is, and I know that everything worthwhile is uphill. I know that sticking to the process is something that I've really honed on this year, this season, and understanding that I have a spot to earn, and I know that I'm ready this year.” Harmoni Turner The IX Sportsshow more

Former Iowa State DT Domonique Orange, who suffered a... quad strain early in the pre-draft training process, will work out for NFL scouts April 7 on campus. “Big Citrus” is 6-4, 325 and was a mainstay on Bruce Feldman’s Freaks List. He’ll test at 100%.show more

AP CM N Chandrababu Naidu garu gave orders to... start the skill census in the state. Andhra Pradesh became the first state in the country to have a SKILL CENSUS. The process is to identify and document the skills of individuals and provide them with appropriate training based on their identified skills to make them more employable.show more

A humanoid robot suffered an awkward crash during a... training session ahead of the upcoming World Humanoid Robot Games in Beijing, China. The robot reportedly lost control after completing a sprint and slammed into a safety cushion, damaging its waist in the process. The incident quickly amused social media users, with some joking that the robot had “broken its HDMI.” Video Credit : Arise Newsshow more

Rare-event discovery for robots training is what we’ve been... working on lately How would a robot react to an unusual event? What if a firefighter drone won’t be able to choke a fire (like on the video below)? Robo-doctors use cases? How to mass-produce these situations to train robots to see & react the best way? I think that open-sourced, world models like LTX can become the solution for such training process. And they might become the differentiator for the future of robotics. Of course, I’m not an expert in robotics and ML, but this topic makes me curious - and I’m curious about your thoughtsshow more

Most recent diffusion language model research (that I’ve seen)... seems to be using masking as the noising process. It looks like, however, most closed-source models (Google Gemini Diffusion and possibly Inception Labs’ Mercury) use a different noising process, where instead of masking tokens, they replace them with different tokens (either with a random token or a semantically similar token). I wondered how they were getting such high throughput with the latter noising process, since I believed that optimizing inference with KVCache approximation would be more difficult (for various reasons). I visualized this noising process with tiny-diffusion and compared it to normal unmasking, and was very surprised to see how fast the generation “settles” into a reasonable output, and then only slightly refines afterwards, requiring much fewer steps in total. Unmasking (where tokens are never remasked, the typical implementation) is inherently limited in generation speed by the fact that an increase in tokens decoded per step leads to more errors due to the mismatch between individual and marginal token probability distributions we sample from. The token replacement noising process seems to have a much different set of characteristics. Because we sample each token per step, every token makes “progress” towards the final output each iteration (in addition to *potentially* giving other tokens more information in future steps). Generally, masking has outperformed other noising processes, which is probably why most research focused on it (using smaller models). But the paper referred to in the retweet shows that random replacement as a noising process may scale better as model size increases. Big labs might have noticed these results much earlier (due to having drastically more training resources and being able to test larger models), which may explain the discrepancy in the choice of noising process. I’m gonna test this with larger models, since tiny-diffusion only has 10M parameters.show more

System identification (sysid) is the process of finding the... physical parameters that make a simulation match reality. If you're training an RL locomotion policy in simulation, the accuracy of your motor model directly affects how well the policy transfers to the real robot. A recent git commit by Kevin Zakka added a sysid toolbox to MuJoCo which automates this process: you provide recorded motor data and a MuJoCo model, and it optimizes the model parameters to minimize the difference between simulated and real trajectories. For my RobStride Dynamics RS02 QDD motors (17 Nm peak, 7.75:1 gear), I built a Rust tool that sends multi-sine torque excitation at 1 kHz and records position/velocity feedback. I then feed this data into MuJoCo's sysid optimizer.show more