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Two years ago I made this so that I could land my first ML job: https://breckemert.github.io/Splendor-Webapp/ https://github.com/BreckEmert/Splendor-AI I’m in the mood for some RL again so I thought I would just get some discussion. I see many posts for people looking for partners but I’m specifically narrowing it to q-learning or board/card games, so I’m making a separate post. submitted by /u/Breck_Emert [link] [comments]

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We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.

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In this tutorial, we explore how to apply post-training quantization to an instruction-tuned language model using llmcompressor. We start with an FP16 baseline and then compare multiple compression strategies, including FP8 dynamic quantization, GPTQ W4A16, and SmoothQuant with GPTQ W8A8. Along the way, we benchmark each model variant for disk size, generation latency, throughput, perplexity, and output quality. We also prepare a reusable calibration dataset, save compressed model artifacts, and inspect how each recipe changes practical inference behavior. […]

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Hey folks, I’m in the midst of some interview prep / learning RL (right now working through spinningup, trying to code/derive some algos from scratch, and building a few example projects) somewhat from scratch. I’ve found that having accountability is really helpful for making sure progress is made. Anyone in the same boat who wants an accountability partner? I imagine daily/regular checkins, progress on learning/projects (aka a mini “build in public”), feedback on each others plans, and even […]

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GDS weighs in on the NHS’s decision to retreat from Open Source Terence Eden continues his coverage of the NHS’ poorly considered decision to close down access to their open source repositories in response to vulnerabilities reported to them as part of Project Glasswing. Now the Government Digital Service have joined the conversation with AI, open code and vulnerability risk in the public sector, published May 14th. Their key recommendation: Keep open by default. Making everything private adds […]

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Key Takeaways 1. The biological ceiling: Classical hierarchy exploits evolutionarily ancient stress mechanisms — which physiologically degrades employees’ cognitive capacity through what’s known as “amygdala hijack.” 2. Psychological safety isn’t about being “nice”. It’s the baseline condition your prefrontal cortex needs to run complex analysis and actually learn anything. 3. Unbossing isn’t ditching structure — it’s a deliberate tradeoff: you’re trading low coordination overhead (hierarchy) for higher adaptability and genuine engagement (self-management). Nothing is free. 4. The 2026 […]

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