Despite the hype, the frontier of AI might not be where most people are looking.
While Big Tech continues to throw billions at scaling transformer-based LLMs, a recent Delphi study shows that 76% of leading AGI researchers no longer believe models like ChatGPT will meaningfully contribute to superintelligence. The marginal gains are becoming too expensive
GPT-5 is estimated to cost up to $1B to train, yet the improvement is mostly superficial. What we re getting is better packaging, not better reasoning.
Meanwhile, a quiet shift is happening in the background. Research in alternative architectures is starting to show surprising results. Liquid Neural Networks, for example, are achieving task-specific performance far beyond what transformers deliver using a fraction of the resources. Neuromorphic chips are pushing 10x energy efficiency. And miniaturized, domain-specific models are proving far more practical at the edge than scaled-up giants.
It's a big day for us not only have we launched something that I've been this much excited about in years, we are also climbing the Product Hunt leaderboard to become the product of the day. Checkout Indy AI.
I ve been hunting and playing around with AI agents for a while now, and while the progress is impressive, I keep running into things that make me think: Why can t it just do this already?
What s one thing you wish agents could do today that they just can t (yet)?
I read in TechCrunch today that Perplexity is trying to dominate the Indian market, which could potentially increase the number of users (and thus compete with OpenAI).
Perplexity is trying to attract more users by offering a free 12-month Perplexity Pro subscription normally worth $200 to all 360 million Airtel subscribers. (That is the cost for them.)
When I first launched on Product Hunt, I had no idea what to expect. I wasn t sure anyone would notice our little startup, and honestly, I felt intimidated. Everyone seemed so established, and I didn t know where I fit in.
But then something incredible happened. A kind comment from @aaronoleary. Encouragement from the PH community. Support from the Product Hunt team when we ran into issues. A hunt from @benln. A thoughtful reply from @rajiv_ayyangar himself.
That first launch became Product of the Day.
We were later nominated for Product of the Year.
In 2023, I was named Community Member of the Year.
And now in 2025, I ve been invited to serve as a Product Hunt Ambassador!
As we build Droidrun, an agent framework that navigates apps via real UI structure, we ve hit a common blocker: there s no public dataset of real Android apps with their UI hierarchies, screen flows, or metadata.
Tons of great products that we know and use everyday are the result of pivots. You know, sometimes the original idea just isn't working and you have to find a new niche and quick, other times you stumble on a use case that changes the whole game.
Have you ever pivoted? What's the story behind it? How successful was the pivot? I'd love to hear your stories, and potentially feature them in our newsletters!
Tons of great products that we know and use everyday are the result of pivots. You know, sometimes the original idea just isn't working and you have to find a new niche and quick, other times you stumble on a use case that changes the whole game.
Have you ever pivoted? What's the story behind it? How successful was the pivot? I'd love to hear your stories, and potentially feature them in our newsletters!
