Last week, OpenAI had to roll back an update to GPT-4o after users reported that the chatbot was being excessively agreeable even endorsing harmful or irrational behavior. This sycophantic behavior was traced back to reinforcement learning that overemphasized positive feedback .
As a founder building AI-powered products, this incident hits close to home. It raises important questions:
Anyone else building cool stuff like PDF Q&A or custom bots with RAG, but finding the context retrieval step... frustrating?
Most AI app data stacks these days use vector search (Pinecone, Weaviate, etc.) to grab text chunks for the LLM. But sometimes it feels like it finds stuff that's keyword-similar while totally missing the actual point the user asked for. Leads to those slightly weak or "confidently wrong" LLM answers.
I built a product backend in 2019. Unfortunately, it didn t work out. But it s a .ai domain with good domain authority. I m not interested in working on that product or niche anymore. I was emotionally attached to it last time, but this time I want to let it go.
What do you think? What do you guys usually do in situations like this?
I ve been working on a product for podcasters and while I m excited about the idea, it s been tricky to consistently connect with the right people for feedback.
I ve tried a few things: replying in niche communities, asking questions on Reddit, and even testing out some cold outreach. A couple of early chats helped shape my thinking, but it s been tough to keep the momentum going.
I recently started building a tool for content creators and startup founders who want to stay consistent on Threads. I ve realized how hard it is to promote something when you re just starting and don't have an audience yet. If you don t have a big following or a budget, what worked for you?
Did you focus on one platform at a time?
Did you document your process?
Did you post daily even if no one was watching?
Curious to hear how others approached early stage promotion. Right now I m experimenting with scheduling, batching, and smart tagging to stay organized while posting on Threads consistently but I want to learn what s working for others too.
However, when I see someone is already starting to hire an employee, the question crosses my mind: What profit has that person achieved when they can afford to pay another extra person?
Hey everyone, I ve been playing around with different ways to keep my ideas, research, and drafts in check, but it still feels like I m drowning in research. :P
I ve tried traditional note-taking apps, but they re not flexible. And mind maps? They start out fine but turn into a mess as it gets complex with more data.
Hi everyone, I'm David, cofounder at morgen.so, we are in the smart calendaring and planners space, one that has quite some players.
Is there anyone who's also in a somewhat crowded space, and has some suggestions on the topic of pricing and packaging? Please share any insight, I'll take care of trying to remap to our case.
Hi Everyone! Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use. Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs!
I thought I'd get used to it, but I still hate talking to chatbots, esp ones I know that just spit up information they can find from a database of help articles. And even more so, when they don't actually help me answer the specific question I have after reframing my Q several times.
So when all these AI voice assistant products launched, claiming to take over sales and customer service, I had my reservations. I was like OK, yea, I can see it's headed in the right direction, but would I WANT to talk to one over a human being, even if it meant no wait? Nope.
Hi Everyone! Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use. Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs!
Hey! I'm Ellie, a developer advocate @Pieces for Developers (btw we are launching today!!) and I love doing coffee chats. It's so fun to meet other people in the tech industry because you always get to learn something new, or even make a new friend. Anyway, if you're up for a coffee chat, feel free to reach out to me on linkedin https://www.linkedin.com/in/elli...
Product Hunt changed my life. A year ago I stepped in as CEO, and a couple weeks ago we launched Product Forums (which you're reading this on!). Before that I founded and launched @Tandem (virtual office - YC S19), and @Cryptagon.io.
Ask me anything about Product Hunt, launching, startups, YC, or what we're trying to do with forums!