i think it's better than sonnet 5, especially when you compare speeds. i have to work with the llm anyway, the faster i can turn it the better the outcome.
DNS blocking just isn't as good as a browser extension, because it can only block based on domain names. Pihole helps block ads on non-browser apps, but a real ad blocker extension in a browser is much better. I run pihole on my network, but I still run uBlock Origin on Firefox.
I ran pihole for a while, but I ran into way too many issues with certain sites simply not working at all (booking travel, online shopping...), and it was bothersome to have to constantly allowlist those. UBO works out better.
3 citations and a lot of conjecture. Is the article only targeting SWEs? The one study cited said 22-25 age range saw a 16% decrease in relative employment declines (for SWEs)[0]. But everyone outside that range was not impacted. Further, what about all the trades jobs around data center development?
“Demand is also being intensified by major investments in infrastructure, manufacturing, reshoring, and AI. Data center growth alone has added a net 315,000 skilled-trade workers over the past five years, according to the report, putting additional pressure on an already tight labor market.”
We literally do not have enough trades people to build out data centers and their salaries are increasing as a result. These are skilled labor jobs (plumbers, electricians, IT, etc.). Does Bill Gates care about the rest of the economy outside of SWE?
Honestly a lot of those decreases are also because companies are trying to wait and see as much as possible to see if there is any truth to the conjecture.
I have an impression that most CxO are driven by FOMO. Having a fixed R&D budget (no cheap credit anymore) to get $$$ for tokens they are laying off developers.
As far as I can tell, we've convinced companies and VCs to dump billions of dollars into infrastructure to support a vision where they can get more done with fewer people. They've been duped.
I think of LLMs as a labor-liberating tool. It's saving me effort so I don't have to drudge through enterprise codebases and memorize company-specific knowledge that is a dead end for my career. Instead I can run an agent while doing chores.
The beauty of the entire LLM stack is that it requires us. It is useless without a human-in-the-loop. The entire stack is designed around human intervention. We will not magically invent a way to remove the human without first removing it from training.
So rest assured, so long as there are humans in the training loop, there's nothing to worry about, because LLMs are a cybernetic enhancement, not a replacement.
I don't think Pi is tiny because it's written in typescript and requires a javascript runtime. I definitely want a "tiny" compiled agent with no runtime requirements.
I don't think Zig is that great of a language for this, but it's better than typescript. I don't want to use Vercel software so will pass, but would love to see a more community driven effort.
For people working with small local models like Qwen 35b what's even more important us that the LLM is good at coding in the language in which the agent harness is written so that it can write skills. I really like pi but had a few instances now where Qwen wasn't able to extend it because it isn't very good at writing typescript. Does that sound familiar to anyone, and did you find any fixes?
Honestly I’m not looking for max iq on whatever benchmarks they are overfitting to. I want speed. I toggle between sonnet 5 low/med which is plenty good for my workflow.
My general strat with LLMs is to let them do the work and constantly talk to them about their choices and then heavy QA
Gemini 3.7 was benched at 6x the speed of Claude opus high at a slightly lower “intelligence score”. Yes opus is great at one shotting tasks (while being overly verbose as everyone here is saying), but I can’t stand the 20-minute-prompt-code-prompt interrupt loop. Still have yet to try Gemini for coding tasks but going to give it a try today..
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