I finally have an AI-generated song stuck in my head
@mattshumer_
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notes-to-blog: Convert Notes Into Full Blog Posts with AI
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Here's `notes-to-blog`, an insanely powerful @HyperWriteAI tool that turns any set of notes into a full blog post.
— Matt Shumer (@mattshumer_) 9 avril 2024
And it doesn't sound like a robot wrote it.
You can paste in:
– interview transcripts
– podcast notes
– your own research
The final output is fantastic.
Try it: pic.twitter.com/QHyFqbhF8fHere's `notes-to-blog`, an insanely powerful @HyperWriteAI tool that turns any set of notes into a full blog post. And it doesn't sound like a robot wrote it. You can paste in:
– interview transcripts
– podcast notes
– your own research The final output is fantastic. Try it: -
HyperWriteAI Platform Now Accessible Try It Today
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Here's the link to try it. It's accessible via the @HyperWriteAI platform:
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Synthetic Data and Video Sources for AI Model Training
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Probably a ridiculous amount of synthetic data + previously untapped sources like full videos (not just Whisper-transcribed YouTube), music, etc.
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OpenAI Anthropic DeepMind Training 10x Larger Models
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Remember, OpenAI, Anthropic and DeepMind are training 10x bigger models than Opus
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Using Claude Opus with Console Interface Features
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Opus will likely be noticeably better for your use case. Don’t use the http://
Claude.ai UI, use the one at http://
console.anthropic.com. Less polished, but it allows you to edit generations, delete messages, set system prompts, etc. -
Essential Python Function for AI Engineers
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Here is one of the most powerful and reusable functions you'll need as an AI engineer: “`
def remove_first_line(test_string): if test_string.startswith("Here") and test_string.split("n")[0].strip().endswith(":"): return re.sub(r'^.*n', '', test_string, count=1) -
Claude 3 Opus outperforms GPT-4 for task delegation
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Claude 3 Opus feels like the first model I can really hand off tasks to without writing a really detailed spec. GPT-4 was always quite capable but even for simple tasks, you really needed to poke and prod it. Not so with Claude.
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NYC Early-Stage Startups Outpace SF Innovation Landscape
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The early-stage startups that have really excited me lately have all been in NYC. Some public, many still in stealth. Feels like people are actually trying unique, interesting, and useful things here, whereas in SF it's a lot of the same overlapping boring ideas.