I implied no universal, nor that one need disregard the feelings or worldview of another.
Only that, yes, sometimes we allow our fear of upsetting another to impede our willingness to communicate clearly - especially (and more often than not) when we care about them.
I think it really depends on what you're defining 'model routing' to include.
If you intend model routing to be 'route tasks to the best model for X task as optimized for some dimension Y', then of course ensuring availability of a model specialization on dimension Y is going to be a 'first principle' -- And perhaps this is the 'standard' definition folks would use for this.
However, my general definition of routing is inclusive of all routing that takes place in my execution pipeline, inclusive of agent/sub-agent schemes. Having frontierModelA leverage frontierModelB as a subagent gives me alloyed characteristics, and is an execution pattern that I'd route a general task.
In the above sense, you can consider this to be a difference between 'model routing' and 'model system routing', where the latter treats a multi-model execution workflow as a predefined model configuration one would route to in lieu of a single model (specialist or otherwise)
To maybe meet in the middle on this there is model optionality, and also configuration/system optionality that predefines a set of models and execution rules to follow
On it's face, there is useful content here. But it's also clearly contextual.
It's absolutely the case that routing between frontier models can improve results, mainly because of the alloying effect. Ping ponging between different providers gives the task exposure to different data distributions, and can break models out of non-optimal feedback loops.
That's not to say that's always the right approach, just not clearly wrong. And a small pool does not necessarily 'improve' model routing. The real advice is just 'know why you're routing to each model'.
Especially with guidance to map to improve based on performance - with a large enough volume of tasks/requests, you'd want to maximize the initial pool size to expand the search space in order to determine which is best at each task.
I read this as "here are some thoughts on model routing" -- not first principles I'd advise everyone to live by.
I’m all for the sci-fi extremes that we might lose valuable skills to cognitive delegation, but the idea that we as a society will forget how to count is… extremely stupid.
Average people build their own harnesses, and imagine themselves the pioneers of industry. They propose protocols. They code, feverishly, into the night, driven by their vision for the future.
It used to be that 'idea guys' were limited by execution. We now feel the avalanche of these ideas, even maybe executed half-decently, fall upon deaf ears and zero market.
Irrational people hate art made with AI as a tool.
"By invading the territories of art, photography has become art's most mortal enemy." - Said someone who nobody knows because it's a long and dead opinion.
‘Well, achshully, too much water can drown someone, so it’s not a universally true statement that it’s critical to life’
Meetings are forcing functions. They force me to sit in stupid recurring nightmares that are wastes of time, in many cases.
In the right context, as the author has called out, they offer a rhythm to work that drives behaviors.
You are tying meetings to all the woes of the modern white collar job, and raising ill-constructed arguments that don’t pass muster.
“Meetings are forcing functions” - Clickbait?! “The Secret to Driving 10x Better Work” is clickbait. The title is as succinct a summary of the work as one might endeavor toward.
You have less interest in sifting through multiple articles and wiki pages sent to you by a stranger with a prompt than the one paragraph same stranger selected as their curated point.
And pretending like you’d act otherwise is precisely the kind of “anti ai virtue signaling” that serves as a negative mind virus.
AI is full of hype, but the delusion and head in sand reactions are worse by a mile
New accounts created to shovel a narrative of neo-luddite nonsense into the discourse without addressing a single point with substantiation.
"IP Theft" is a loaded term that has already been determined to be unfounded in US law.
Alsup stated that models were one of the most transformative uses of content he may ever see in his lifetime, and deemed it fair use.
No matter how you slice it, this technology and capability isn't going away, and that goal post quickly shifts when it's pointed out that "ethically trained" AI gets as much hate as anything else.
Only that, yes, sometimes we allow our fear of upsetting another to impede our willingness to communicate clearly - especially (and more often than not) when we care about them.