Yup exactly!! its a subtle change happening under the hood, When people have a good interaction with ChatGPT they attribute it to the LLM, but in most cases, its the agentic features in ChatGPT that wows you and not necessarily the smartness of the large language model.
Well there was is a lot of human element and infact this post was an output of conversations with different people talking about LLM and ChatGPT. I guess Claude over did the 'fix grammar and improve the language' instructions.
Sadly I don't have a Claude subscription for the number of tokens needed for Opus. Although I'd admit I used Sonnet to clean up and improve the language and grammar.
There is already a growing number of people who use tools like super whisper to interact with agents.
At work I'm building a "chief of staff" kind of a voice agent where you simply verbally give it tasks and it goes and gets stuff done.
Also do have a look at the latest announcements from open AI on their realtime voice
I've been in tech and have been coding for 25 years now. My workflow in the past 2 months uses coding agents for 95% of my work. Just yesterday I had my agent fix and rewrite nearly 2 weeks of a 2 member in about 30 minutes. The agent's code was a lot lot better.
There there is a huge bubble, but once that bursts new patterns will emerge, Just like how ecommerce and online banking emerged, after the doc com bust
Absolutely true!!!, there will always be a 1000 wrong ideas for 1 true revolution. Sometimes these pundits would be over ambitious in their thinking or off with their timelines. What MSFT said about voice is actually coming true now with AI Voice Agents as we speak..
How do you think people will write code and generate images 6 months to a year from now.
Claude code, nano banana, perplexity, copilots, comet will become the default tools
Interesting point on the monorepo. I've always suspected monorepos would also play a key role in helping coding agents digest large code bases, just havent been able to prove it.
Kimi k2 works reasonably well for the price. Opus is still the king, but Kimi would be the poor persons's Sonnet. Gets the job done with a bit of extra help
bsolutely agree! Prompt engineering is brittle, hardcoded “templates” that don’t generalize, and it’s simply not scalable as tasks and use cases explode. DSPy’s approach, which builds reusable and composable reasoning patterns, is a huge leap forward. DSPy will become the default for serious LLM application development.