Really special group of people at OpenAI. Trying not to grow too fast; easy to lose the feeling of talent density. That being said, we need more help to achieve the mission, so we're growing carefully & deliberately: https://
openai.com/careers/
@gdb
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OpenAI Hiring Carefully to Maintain Talent Density
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Microsoft OpenAI partnership advancing safe AGI for humanity
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Microsoft + OpenAI = amazing technology available safely & usefully to the world. So much to build as we pursue our mission of ensuring AGI benefits all of humanity:
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McCulloch-Pitts Neuron Celebrates 80 Years Inspiring AI
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This year is 80th birthday of the McCulloch-Pitts neuron. Remains the fundamental idea behind all neural networks. Such a simple mathematical model, yet has scaled to incredible results across many orders of magnitude of compute. Hard not to feel inspired. https://
cs.cmu.edu/~./epxing/Clas
s/10715/reading/McCulloch.and.Pitts.pdf
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Azure OpenAI Service Now Generally Available for Wider Access
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Azure OpenAI Service is now generally available. Very nice milestone in making these models widely accessible:
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Collaborative Research on LLM Misuse and Mitigation Strategies
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Collaborative research on LLM misuse & mitigation. Like for any new technology, important to maximize the upsides and mitigate the downsides:
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ChatGPT Professional Version Launch with Enhanced Performance
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Working on a professional version of ChatGPT; will offer higher limits & faster performance. If interested, please join our waitlist here:
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Solving Interrelated Problems Simultaneously in Software Development
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Classic software wisdom is to focus on one problem at a time. However, I often find it more productive to focus on many interrelated problems. When you get stuck on one, you can do something productive on another one — and often unstick the original by noticing the connections.
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OpenAI Developer Community Unlocks Real Opportunity Building Models
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Amazing to see the energy of the OpenAI developer community. These models are starting to unlock real opportunity to build on top of them, whether for side projects, new products, or integrations into established services.
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Start Known Work Then Test One New Idea
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Depends on how experimental the idea is. Usually you want to start with something you know will work, and then try out one new idea at a time, each time persisting until you understand the results you're seeing fully.
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Persistence: The Critical Virtue in Machine Learning Engineering
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Perhaps the single most important virtue in ML engineering is persistence. The ML engineering process is one of repeatedly checking & understanding every detail of the system, until it finally goes through a phase transition from "not working at all" to "working shockingly well".