b89kim

5 ms·

1.
by b89kim 8d ago
OpenAI addressed the dispute in official and denied direct usage of data. However, they acknowledged the possibility that session data was used for model improvement. > While unlikely, we cannot rule out that de-identified data derived f
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by b89kim 8d ago
Sebastien denied most accusations and apologized only for inappropriate wording, providing his perspective. - He insisted that OpenAI initiated research based solely on rumors and never accessed their Codex sessions. - He mistakenly believe
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by b89kim 8d ago
If OpenAI's proposal is true, it strongly implies they accessed Tristan's private session logs. OpenAI's 'Terms of Use' allow using Codex session logs for model improvement. However, using private user sessions to d
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by b89kim 8d ago
- Tristan and his co-author (Harvard/Anthropic) developed a theoretical framework and validated it using Codex and Claude. - OpenAI did related research around similar timeframe. - Tristan claimed OpenAI offered a proposal that include
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by b89kim 13d ago
Main problem of humnoid is price. Price starts from 20,000$ and we need jetson thor(On-device) or 5090 for learning capabilities. Their ability per cost is not greater than human. The other problem is hard to predict/simulate real worl
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by b89kim 13d ago
You could build small ML model like talos-v2. But larger model/LLM requires much more engineering cost than you expected. Optimizing HDL has too many control knob/param to solve by RL.
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by b89kim 2mo ago
I had no failure mode in 3.6 9B thinking with llama.cpp. After release, there were updates for both model and llama.cpp.
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by b89kim 3mo ago
If you're using depth, you're better off starting with a diffusion policy (DP). We benchmarked ACT, DP, pi0,pi05 on the same task, ACT underperformed in most cases. There is already plenty of research around multimodal diffusion p
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by b89kim 3mo ago
Adding a depth channel rarely yields a massive performance gain, likely due to data scarcity and the fact that modern VLAs are good at guessing distance directly from RGB. I have used multiple RGB-D cameras, but it is hard to get stable ima
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by b89kim 3mo ago
- A single arm is sufficient for validating basic Pick/Place tasks, but more complex scenarios require Bi-arm - Calibration is not required for VLA models. - RGB or Stereo RGB inputs are sufficient for ACT, DP, and PI0/PI05. - R
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by b89kim 3mo ago
I could confirm 50-100 demonstrations are enough for fine-tuning pi0/pi05. I did research with aloha and humanoid. It works from 20~40ep(5~10min) but success rate would be 70~80%. Pi0 tech paper suggests to use over 1~4 hours of data.
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by b89kim 3mo ago
The Raspberry Pi is a single-board computer with native support for UART, SPI, I2C, CSI, and more. There's a large ecosystem of HATs, sensors, and peripherals built specifically for it. Most mini PCs rely on USB for peripherals, which
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by b89kim 6mo ago
ChatGPT's Canvas uses Pyodide for sandboxing, but it's not designed for coding agents. Node.js environment is usually better for agents. Pyodide restricts server-side functionality, and fetching external URLs often needs proxying
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by b89kim 6mo ago
I’ve been testing these on other tasks—IK, Kalman filters, and UI/DB boilerplate. Qwen3.5 is multimodal and specialized for js/webdev or agentic coding. It’s not surprising MoE model have some limitations in specific area. I under
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by b89kim 6mo ago
I’ve been benchmarking GGUF quants for Python tasks under some hardware configs. - 4090 : 27b-q4_k_m - A100: 27b-q6_k - 3*A100: 122b-a10b-q6_k_L Using the Qwen team's "thinking" presets, I found that non-agentic co