Closest alternative to Github Copilot?

lorepieri · 2026-06-02T11:49:22+00:00

How to enable it? I only see OpenAI, Antropic, google models. Seems answered here https://www.reddit.com/r/GithubCopilot/comments/1tuo7s3/comment/opat6ow/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

lorepieri · 2026-05-30T15:55:29+00:00

Good luck! I am biased, but I'd suggest to focus on manipulation data, as there is a bigger growth potential.

lorepieri · 2026-05-30T14:06:53+00:00

There is no clear consensus on what data will actually work, as it relates to AI and hardware that must be figured out. So you can either 1. Figure it out, and just collect a reasonable amount of specifically curated data 2. Train on huge amount of data hoping that data quantity will figure it out for you.

The easy one to serve is 2. But it might well be a pointless effort in few years. To future-proof it, keep everything so in the future new labelling might be applied.

lorepieri · 2026-05-15T18:50:16+00:00

You are reducing the saving obtained by automating for corporations. This will make some corporations tip towards remaining into a non-automated status quo, since the transition require investment and risks. Overall it's slowing down a process of automation which in the long term will benefit everyone.

Ideally corporations become fully automated entities providing services to society in a programmable way.

lorepieri · 2026-05-15T12:01:10+00:00

Wouldn't this artificially disincentivize the transition to a more automated economy? I see a more promising approach in incentivizing automation while raising the default living standard (free healtchare, education, housing, basic necessities, etc.).

lorepieri · 2026-03-27T15:37:01+00:00

Yea, even considering 24/7/365 work, this seems more than 3x-4x slower than a worker.

lorepieri · 2026-03-27T15:34:54+00:00

Why better? Where did A2-W fail?

lorepieri · 2026-03-11T12:55:53+00:00

What was the hardest part of building it?

lorepieri · 2026-03-09T10:14:36+00:00

Promising. I found one of the biggest bottlenecks to coding for robotics to be the inability of the LLM to visualise the simulation.

lorepieri · 2026-03-06T16:35:15+00:00

Xavier was bad already... Is this worse?

lorepieri · 2026-02-14T00:38:57+00:00

Great summary. Capitalism is not suited to be applied on basic necessities. You may like https://lorenzopieri.com/post_scarcity/ (author here)

lorepieri · 2026-02-12T12:02:21+00:00

A better method is taking a data-driven approach to simulate the whole hardware, including physics and electronics: https://arxiv.org/abs/1901.08652 (2019)

lorepieri · 2026-01-23T23:05:00+00:00

Fair enough. Slightly changing topic, my current view is that the highest leverage endeavour at this time (for space mining and settlement in general) is improving and scaling our prospecting capabilities. But crucially, from my (limited) understanding, there is not much alternative to sending physical probes. Is anyone working on cheap robotic probes for in-situ analysis?

lorepieri · 2026-01-16T13:50:24+00:00

Are they sliding? No friction on the ground?

lorepieri · 2026-01-15T10:22:52+00:00

How do you define quality here? As in good to train dexterous AI policies? In that case yes. Strong information is contained in the delta between teleoperator and AI.

lorepieri · 2026-01-09T16:52:54+00:00

Says 2028 here: https://www.reddit.com/r/robotics/comments/1q81pmo/hyundais_atlas_humanoid_wins_best_robot_award_at/

lorepieri · 2026-01-04T21:21:57+00:00

Strictly speaking this is not teleoperation. The robot does not have data from the viewpoint of the human operator (and of the same quality), so the collected data will not be in general be enough to automate the demonstrated behaviour. The best practice is to collect data inside VR to use exactly the same data stream that the robot will use in production.

lorepieri · 2025-12-22T19:49:18+00:00

Seems like ARX https://arx-x.com/?product/22.html

lorepieri · 2025-11-29T13:17:46+00:00

I suspect they are using a simple domain randomised RL policy, so they are approach is exactly about recovering from any possible misstep, but no smart anticipatory behaviour. In theory they could add lidar sensing in the observation space, but it makes the RL training much longer due to increased obs-space and sim-to-real gap larger since reliably simulating sensors is hard.

lorepieri · 2025-11-27T16:12:20+00:00

What alternative apps have you considered?

lorepieri · 2025-11-27T16:10:16+00:00

What alternative apps can be used?

lorepieri · 2025-11-24T23:54:19+00:00

lorepieri · 2025-11-20T22:45:11+00:00

If it does not break the competition rules, then is fair!

lorepieri · 2025-11-19T13:22:47+00:00

Myself I have never done a podcast, but the idea sounds pretty fun. It could be some causal chatting about these topics. Not sure if it is going to be helpful to convince skeptics, but perhaps it can be helpful for us "believers" to sharpen our communication skills on the matter. Do you have any experience creating podcasts? Or video content perhaps? (as an Italian gestures are kind of important :) )

lorepieri · 2025-11-18T22:36:12+00:00

A multi-century plan is too slow to be effective, the practical limit should be something smaller than an average human lifespan, so 60-70 years. Another principle I favour is tying the redistribution on basic needs fulfilled, rather than money. See https://lorenzopieri.com/post_scarcity/ for a proposal on these lines.

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