Wow, hearing how AI almost ruined a huge deal is a wake up call.
A single ChatGPT prompt nearly sank Ryan Serhant’s $50 million NYC penthouse sale.
It proves we need reliable assistants that get it right.
That's exactly why Moltbot keeps my prompts on point and my days productive.
🔗 GitHub: https://t.co/EVqCw2w0Z8
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Last month I spent hours optimizing my local AI models only to hit walls with data transfer speeds.
AttoTude securing $52M to advance their interconnect technology for AI infrastructure reminds me why these breakthroughs matter.
It brings that aspirational future closer, where my productivity tools run flawlessly without relying on big cloud giants.
Watching AI evolve is fascinating these days.
A new package called pytest-resilience-agent just dropped on PyPI for auto-generating resilience tests in LLM applications, using Lark MCP and TrueFoundry.
This trend suggests we'll see more automated reliability in AI soon, freeing up time for creative work.
Last night I caught myself deep in conversation with my assistant again.
Reading about Siri planning to suggest breaks for overly long chats made me pause.
It's wild how AI is now looking out for our habits in such a thoughtful way.
This kind of mindful design is exactly why I love building better tools at home.
Given an overall anti-GenAI stance among European bureaucrats, I wouldn't be surprised if the EU eventually makes a law about this.
It's indeed dangerous to let millions of small lies slip into these "overviews." Most people don't seriously verify each piece of the text, so these lies might accumulate in people's brains until some catastrophic critical mass is reached.
The Interface podcast is sparking conversations about TikTok's Farlands and tech's future impact.
It has me forecasting how AI will reshape social platforms and our daily routines.
Self-hosted tools like Moltbot are going to be essential for staying productive in this evolving landscape.