Whether you’re a PM or not, gaining the ability to hold different perspectives is a critical life skill. Learn to seek out different experiences and ways of solving for the same base needs (food, transport, housing, community, validation, etc.) that make us human.
It’s been ~1 week since @shreyas course on PM career. While $$$$, it includes effective approaches & active cohort with similar goals. It’s not for everyone in PM.
Check it out if you’re later in your PM career & looking to unlock more growth.
https://t.co/ozUIu8iC5L
@dailydotdev @TwitterSpaces @OpenAI@OfficialLoganK@sherwinwu@nataliestaud Q: How do I get started as a developer building on top of the API? What should I know?
A: Keep in mind while building (especially startups), how to build a differentiated experience. Reality is everyone has access to the models, so how is what you're doing different?
@dailydotdev @TwitterSpaces @OpenAI@OfficialLoganK@sherwinwu@nataliestaud Q: What use cases have been unlocked with this new paradigm?
A: The focus on human conversation makes it useful in a lot of contexts:
* email
* notes
* repetitive writing tasks
* focus on creative tasks
Basic fact is conversational layer is super-intuitive. It's the UI for life.
@dailydotdev @TwitterSpaces @OpenAI@OfficialLoganK@sherwinwu@nataliestaud Q: Is @OpenAI building anything Open Source?
A: Can't talk about future, but we will be opening more things.
Very excited about whisper - open source transcription model. Super robust and even works with accents.
Also: CLIP, openai-cookbook, gpt-discord-bot
@forbiddenvoid@dailydotdev @TwitterSpaces @OpenAI@OfficialLoganK@sherwinwu@nataliestaud Is 1 referring to manipulating the prompt so the form of the prompt submitted differs from what a user may have submitted? Any discussion of the cost for 2 and 3 given tuning likely carries a higher cost?
Extracting value from LLMs is much more a product / interface question than a tech question. You have to find tasks where LLMs are applicable, and find a user interface for that task that achieves a good UX despite the low hit rate (e.g. Copilot is a great example).
The gap between generating words and generating meaning will prove hard to close. Generating meaning requires *a model of the things being talked about* (language as communication), while generating words only requires a model of the structure of text (language as statistics)
Digital artist Luke Penry creates pristine textures and believable structures of fungi, florals and alien-looking plants that are completely made up, suspended between scientific documentation and his own imagination
[Instagram: https://t.co/no08KWZpuw]
https://t.co/EoUsOmleAK