The sample efficiency of the RL algorithm, even for simple games, is not very good. This usually means that we will need a lot of episodes for the policy to learn to excel. Being able to run policy in an environment that can parallel and accelerate could be very helpful for the improvement - for example running a batch of browsers or tabs simultaneously :)
People born in different eras often develop different worldviews by the time they reach their 50s. Not everyone is lucky enough to be born in the "right time".
I am curious about the setup of 14 GPUs - what kind of platform (motherboard) do you use to support so many PCIe lanes? And do you even have a chassis? Is it rack-mounted? Thanks!
1. Start by learning a simulation tool, e.g. Mujoco (open source) or Isaac Sim.
2. Learn basics of optimal control and reinforcement learning, reproduce papers/ideas in the simulation.
3. Get your hands dirty on a cheap robot, and try deploy your trained model on it. For mobility and manipulation. Unitree Go1/Go2 for mobility, and robotic arms for manipulation.
I think having to debug to find problem of your system is frustrating. But with NixOS, I at least won't be afraid of "breaking the system" or doing something "irreversible". This is totally a peace of mind when tinkering with my setup.
Thanks so much for sharing your story – hearing about your DIY Enphase install (and epic PG&E battle!) really gives me confidence. And the information you shared is extremely helpful for first-time DIYers like me.
Wow, what a fantastic write-up—thanks for sharing this! I’m a San Jose homeowner (and PG&E sufferer) with a homelab that pulls over 1 kW, and I’ve been down the DIY solar rabbit hole for the past two weeks. Based on my research, I’m planning a roughly 9 kW Signature Solar setup:
18 U server rack (~$500)
— total hardware ~$14 760
My big hang-up has been the rooftop work, permitting and inspections—almost no one I call will touch a true DIY system. If anyone here in the Bay Area has recommendations for installers or back-of-house permit-whisperers who’ll partner on a non-Tesla/Sunrun job, I’d love to hear how you made it happen. Thanks again for the inspiring guide!
Yes, we are in the U.S., but our situation seems quite different from the standard RSU process you described.
We did not receive a W-2, and the company has not reported the RSUs as taxable income yet.
Even though our RSUs fully vested at IPO, they are not yet settled as shares—the company has set the settlement date to March 15, 2025.
The company is requiring us to prepay withholding taxes in cash before they release the shares. If we don’t pay by the deadline, the RSUs will be forfeited entirely.
This is why we are trying to better understand how this aligns with U.S. tax laws and whether this is standard practice.
We agree that this doesn’t sound like how RSUs typically work in the U.S., which is why we are seeking advice. If you have any thoughts on how this situation might fit within U.S. tax regulations, we’d really appreciate your perspective!
I am sorry that you had to go through such shenanigans. Consulting a lawyer is also what we are working on right now. Asking just in case: do you have any lawyer to recommend? Thanks!
> It could have been a double trigger vesting arrangement, where the shares "semi-vest" over time, but then they don't fully vest until a liquidity event, at which point poof suddenly all of those ghost shares become REAL shares.
Exactly this.
> If that's the case, they likely baked in a process for employees to have those shares withheld, or auto-sold during the lockup period. It's all tied in with their HR system and other payroll processes to make that easy.
In the agreement, they said this is up to the company, and the company chose the "pay tax to me or forfeit" option.
> There are companies that will loan you money to cover vesting costs or these types of situations - they'll do it at shitty rates, but if the options are losing out on a windfall or losing an extra 10-20% on the windfall, it's worth considering.
Thanks for this advice. Agree that this seems like a viable approach. Appreciate it!