zerop

LLMs have been able to make good success in coding, because someone is reviewing the work it produces (code). Ofcourse quality of code has become better over time. IMO other than Human-in-the-loop scenarios, AI will not see huge adoption in businesses.

What could be the reason to nerf?

This does not scale well for enterprises. The risk always-on agents bring is something no one wants to take. Guardrail and Harness is going to be next big thing for Enterprise AI.

Are there "good" Open source Decision models built on Gemma-4 and also trainiable on own data?

I tend to agree with this observation. I started taking my evening calls (6:30 to 10:30 PM everyday) from my terrace in open air and my overall fatigue became quite less and I feel quite less tired compared to earlier time when I used to take these calls from my room.

Claude keeps launching automation products but not sure if they are bothering about quality. I was using claude cowork and was hoping to get simple tasks done using web browser. It is unreliable and often fails

I have used voice mode on chatgpt, Gemini, Grok as I use it while driving. Best is from openAI. Natural conversation, smarter and meaningful replies.

So pelican must have become the mandatory test case to pass for all model providers before launch.

I have been looking forward to build something like this using open models. A voice assisstant I can talk while I am driving, as I do have long commute. I do use chatGPT voice mode and it works great for querying any information or discussions. But I want to do tasks like browsing web, act like a social media manager for my business etc.

Microservices created the need for more teams, devs, coordination, meetings, scrum teams, scrum master, Jira, CI CD tools, cloud market and so on.. It is very well planned :)