realsarm

What's the difference between this and nouswise with computer-use or nblm?

Yes, I also thought it's crap the moment I saw they need langchain to develop a harness.

I think this not something to ignore. They might argue we do not support everything they say. But at then the only thing delivered is the damage.

Yes this paper even tries their enterprise case. Perplexity performs worse. https://arxiv.org/html/2604.17843v1

You can just look at nouswise or nblm. They do have such harness behind.

Wasn't using a source-grounded AI with citations a better natural choice than chatgpt with hallucinations?

Pricing with a long table comparison for the 3 plans https://nouswise.com/pricing

Are you looking for this?

Technically not https://www.reddit.com/r/notebooklm/comments/1ss53l5/halluci...

There's a lot of these in their sub.

Like how many sources? And what you mean by sources (tables pdfs...)?

That's why either VCs confused moat with bot farms and farmed stars over solving genuine problems or they just blindly invested based on founders track record no matter what. To me both are really by product vibe coding hype and chatgpt killing wrappers.

I also believe the same. Many VCs are obsessed with moat that they clearly got wrong. To me the value created at app layers are so much that gives them the flexibility to diversify their infra layers. Good harnessed do not depend on a specific model provider or memory layer or etc that when it is taken down like anthropic fable they get no risk exposure. Many even after growing train their own model like what cursor did with composer. There’s many more examples in other verticals like manus, superhuman, fireflies, lovable, replit, cursor, nouswise, cline windsurf and kilo but many are concentrated in coding because again I think VCs have preferred this definition of moat.

You can call it a bait but where is VCs due diligence for this. Most VCs where out there defending their infra layers investment. Just look at YC batches and see the inflated number of infra startups.

> particularly following the release of ChatGPT in November 2022, has led to a significant decline in labor demand for certain occupations in the United States. Specifically, job postings for roles with high vulnerability to AI substitution dropped by an average of 12% between late 2022 and mid-2025, with the impact intensifying to 18% by the third year post-launch

I'm pretty it can grow up 30% with robotics comming up..

Also AI gateway has no means of choosing placement.

Video was naturally superior at explaining charts graphs. Curious to see how it explains technical papers with lots of diagrams.

It's true. It even made them more valuable not the opposite.