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.

Many early-stage startups delay hiring a Product Manager - sometimes until after raising funding.

But in our experience, waiting too long often means:

Building features nobody uses

Every metric can be improved. Every screen can convert better. Every flow can be 5% more efficient.

But lately I ve been wondering, at what point does optimization start subtracting from the soul of a product?

When do smoother funnels make things feel flatter?

Some of my favorite products aren t perfect. They re a little weird. A little slow. A little human.

All founders and builders will have something break at some point. For us at @Finden, it was when we grew from 10 to 100 users. The data was coming in faster than expected, and our queue to process and understand it quickly became overloaded. This meant onboarding slowed down. It was frustrating at the time, but it taught us a vital lesson: always design for scale, not just for your current users.

We ve since re-architected parts of the system to handle growth much more smoothly. But that first break was a reminder that scale is the ultimate stress test.

Saw too many B2B SaaS founders struggle with cold outreach lately.

Not because they re bad at selling.

But because their cold emails are.

Hey guys,
I've been thinking about this and wanted to get your take on it.

ChatGPT broke AI into the mainstream, but now that the novelty has worn off what are everyday (non-tech) users actually asking for?
When non-tech people think about AI are they wanting AI to handle their emails, manage their schedules or something completely different?
From the conversations I've had, it seems like most people use ChatGPT and see the potential but can't figure out how it fits into their actual routine. What I'm noticing is that people are really interested in AI solutions that can take over the stuff they find tedious, whether that's digital stuff like sorting through emails or physical tasks like household chores.
What are you hearing from non-tech users? What problems are they hoping AI will solve for them?
Looking forward to your thoughts!!

What strategies are currently effective for driving visitors to your Shopify store?

Shopify store owners, with all the hype out there, I'd like to know what's genuinely working for you in 2025.

Do you receive results from:

• Instagram Reels?

• SEO or content marketing?

• Influencers or Affiliates?

• Paid advertisements (Meta, Google, or Pinterest)?

• Email or SMS automation?

• Something entirely unexpected?

Hey folks, quick question for all the back-end developers and solo SaaS builders out there

Do you ever get stuck or frustrated trying to build front-end UI for your projects? Like, you have a solid backend but creating a clean, usable front-end just feels like a massive time-sink or a completely different skill set?

I m curious how you currently handle it, and if you ve tried any tools to speed that up. What s your biggest pain when it comes to front-end work?

Would love to hear your experience

I ve noticed that verifying whether a phone number is connected to a social media account can be surprisingly tricky.

For personal use, hiring, or even security checks, people often end up searching platform-by-platform, which can take a lot of time and still miss results.

I m curious:

• Have you ever had to verify a phone number s social media presence?

• What s the method or tool you ve found most effective?

• Are there privacy or ethical concerns you think should be considered when doing this?