Tamaybes

5 ms·

1.
by Tamaybes 5mo ago
Mechanize | San Francisco, CA (Onsite) | Junior SWE ($300k + equity + bonus), SWE ($350k + equity + bonus), Research Engineer, Alignment ($500k + equity + bonus) Applying takes <2 min: https://www.mechanize.work/apply&#x2
2.
by Tamaybes 7mo ago
Mechanize | San Francisco, CA (Onsite) | Junior SWE ($300k + equity), SWE ($350k + equity) Applying takes <2 min: https://jobs.ashbyhq.com/mechanize We build environments that frontier AI labs use to train their models t
3.
by Tamaybes 8mo ago
Mechanize | San Francisco, CA (Onsite) | Junior SWE ($250k + equity), Senior SWE ($375k + equity) Applying takes <2 min: https://jobs.ashbyhq.com/mechanize We build RL environments that frontier AI labs use to train thei
4.
The future of AI is already written(mechanize.work)
2 points by Tamaybes 1y ago|0 comments
5.
by Tamaybes 1y ago
Mechanize Inc. | San Francisco, CA (Hybrid, ONSITE preferred) | Senior SWE ($500k+equity), Junior SWE ($250k+equity) Apply at: https://jobs.ashbyhq.com/mechanize Mechanize builds sophisticated reinforcement learning environ
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Economics of RL(mechanize.work)
7 points by Tamaybes 1y ago|0 comments
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Is it 3 Years, or 3 Decades Away? Disagreements on AGI Timelines [video](youtube.com)
2 points by Tamaybes 1y ago|0 comments
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Medical AI isn't the bottleneck to medical progress(mechanize.work)
3 points by Tamaybes 1y ago|0 comments
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Startup is paying $500k/yr base for SWE(twitter.com)
1 points by Tamaybes 1y ago|1 comments
10.
Sweatshop Data Is Over(mechanize.work)
1 points by Tamaybes 1y ago|0 comments
11.
The upcoming GPT-3 moment for RL(mechanize.work)
3 points by Tamaybes 1y ago|0 comments
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The upcoming GPT-3 moment for RL(mechanize.work)
2 points by Tamaybes 1y ago|0 comments
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This A.I. Company Wants to Take Your Job(nytimes.com)
3 points by Tamaybes 1y ago|2 comments
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How to Automate Software Engineering(mechanize.work)
27 points by Tamaybes 1y ago|52 comments
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New Data Resource on AI(epochai.org)
2 points by Tamaybes 2y ago|0 comments
16.
by Tamaybes 3y ago
CMOS processors can become around 200x-fold more energy efficient than the H100.
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Limits to the Energy Efficiency of CMOS Microprocessors(arxiv.org)
2 points by Tamaybes 3y ago|1 comments
18.
by Tamaybes 3y ago
TLDR: the H100, lower precision, and other advances lead to a big jump in computational performance. We're in for a wild ride when the next generation of models is trained on 100x more compute in 2024 and 2025.
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Trends in Machine Learning Hardware(epochai.org)
3 points by Tamaybes 3y ago|1 comments
20.
by Tamaybes 5y ago
The result about recent compute trends is different from the recent trends described by OpenAI. In particular, they find a 3.5-month doubling time over the Deep Learning Era, whereas the paper finds a 6-month doubling time. I think the Larg
21.
by Tamaybes 5y ago
Not parameters, the amount of FLOPS required to train the model.
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$50K AI Prediction Contest Launches Today(forbes.com)
1 points by Tamaybes 6y ago|0 comments
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Forecast AI progress and win $ prizes(metaculus.com)
2 points by Tamaybes 6y ago|0 comments
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Earn money by correctly forecasting the COVID-19 outbreak(metaculus.com)
2 points by Tamaybes 7y ago|0 comments