The core of the problem is that there are a million tools that make AI better, and no ways to measure whether AI is working better. Big companies with popular products have it. They do something between normal product analytics and chatbot evals to figure out if users are being successful in their sessions. That's the job. But any given dev, with between 3 and 50 sessions a day? Like, I have no idea what makes the LL…
The Token Compression Illusion: Why I'm Skeptical of RTK
61–70 of 121 posts
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#62I am glad articles like this are finally starting to get some momentum around what I call the LLM magic box industry. From caveman mode to RTK to semantic search and everything in between. Developers have become magicians that cast spells instead of engineers. It sucks at work especially with everyone so sure that their magic spell is the one for ultimate token savings. My criteria are: if it’s not in a harness it’s…
Totally wrong, you underestimate the frontier's incompetence in anything other than building LLM models (ehm ehm flickering TUI for a year "written like a game engine"). I ran a bunch of benchmarks and there are proven ways to reduce tokens while achieving the same results (finding the same CVEs / finding the same bugs in CRs, etc...). See https://maki.sh , it's my own little proof.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#63I am glad articles like this are finally starting to get some momentum around what I call the LLM magic box industry. From caveman mode to RTK to semantic search and everything in between. Developers have become magicians that cast spells instead of engineers. It sucks at work especially with everyone so sure that their magic spell is the one for ultimate token savings. My criteria are: if it’s not in a harness it’s…
They only float up if people create things like RTK and other people try them though.
It's fair to sit this one out and let others figure out if it's worth it or not but tools like RTK, Headroom, caveman mode and others do reduce input and output tokens that need to be processed, and for local LLMs that can have measurable speedups. Whether or not that ultimately hurts the resulting output I don't have enough data to say, but I am happy to play with them to find out.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#64I am glad articles like this are finally starting to get some momentum around what I call the LLM magic box industry. From caveman mode to RTK to semantic search and everything in between. Developers have become magicians that cast spells instead of engineers. It sucks at work especially with everyone so sure that their magic spell is the one for ultimate token savings. My criteria are: if it’s not in a harness it’s…
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#65I am glad articles like this are finally starting to get some momentum around what I call the LLM magic box industry. From caveman mode to RTK to semantic search and everything in between. Developers have become magicians that cast spells instead of engineers. It sucks at work especially with everyone so sure that their magic spell is the one for ultimate token savings. My criteria are: if it’s not in a harness it’s…
>the best ideas float up to Codex/Claude imo They only float up if people create things like RTK and other people try them though. It's fair to sit this one out and let others figure out if it's worth it or not but tools like RTK, Headroom, caveman mode and others do reduce input and output tokens that need to be processed, and for local LLMs that can have measurable speedups. Whether or not that ultimately hurts the…
If a tool like rtk improves token efficiency, but has some negative impact on quality, should Anthropic integrate it immediately? Where is the line? This kind of decision is arguably better left to the user.
What they should maybe do, is have a parameter similar to effort level, that allows the user to opt into native features for token minimizing. Make the tools available but leave the choice of the fidelity/savings tradeoff up to the user.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#66Earlier quoted context omitted.
Totally wrong, you underestimate the frontier's incompetence in anything other than building LLM models (ehm ehm flickering TUI for a year "written like a game engine"). I ran a bunch of benchmarks and there are proven ways to reduce tokens while achieving the same results (finding the same CVEs / finding the same bugs in CRs, etc...). See https://maki.sh , it's my own little proof.
Maki is awesome. Thanks! I'm using it on my X220 and it flies in comparison to OpenCode et al.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#67Earlier quoted context omitted.
Totally wrong, you underestimate the frontier's incompetence in anything other than building LLM models (ehm ehm flickering TUI for a year "written like a game engine"). I ran a bunch of benchmarks and there are proven ways to reduce tokens while achieving the same results (finding the same CVEs / finding the same bugs in CRs, etc...). See https://maki.sh , it's my own little proof.
What is your approach for reducing token usage and is it different than rtk?
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#68I am glad articles like this are finally starting to get some momentum around what I call the LLM magic box industry. From caveman mode to RTK to semantic search and everything in between. Developers have become magicians that cast spells instead of engineers. It sucks at work especially with everyone so sure that their magic spell is the one for ultimate token savings. My criteria are: if it’s not in a harness it’s…
Totally wrong, you underestimate the frontier's incompetence in anything other than building LLM models (ehm ehm flickering TUI for a year "written like a game engine"). I ran a bunch of benchmarks and there are proven ways to reduce tokens while achieving the same results (finding the same CVEs / finding the same bugs in CRs, etc...). See https://maki.sh , it's my own little proof.
In another comment you said "I can't get back to other agents". What gives? Feels like I completely misunderstood what Maki is.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#69Earlier quoted context omitted.
Totally wrong, you underestimate the frontier's incompetence in anything other than building LLM models (ehm ehm flickering TUI for a year "written like a game engine"). I ran a bunch of benchmarks and there are proven ways to reduce tokens while achieving the same results (finding the same CVEs / finding the same bugs in CRs, etc...). See https://maki.sh , it's my own little proof.
Wait what? I thought Maki is a Pi/OpenCode replacement i.e. just the TUI for whatever you plug in it i.e. API-based Codex / Claude? In another comment you said "I can't get back to other agents". What gives? Feels like I completely misunderstood what Maki is.
As much as I hate to admit, T the tools you provide, the descriptions, and prompts, all amount to pretty big changes in experience, even using the same models.
Re: The Token Compression Illusion: Why I'm Skeptical of RTK
#70Earlier quoted context omitted.
Wait what? I thought Maki is a Pi/OpenCode replacement i.e. just the TUI for whatever you plug in it i.e. API-based Codex / Claude? In another comment you said "I can't get back to other agents". What gives? Feels like I completely misunderstood what Maki is.
It's a TUI you're right, but it's also a harness. As much as I hate to admit, T the tools you provide, the descriptions, and prompts, all amount to pretty big changes in experience, even using the same models.
Also -- can you make Maki enforce the underlying LLM to use stuff like fd/rg and not always default to find/grep, for example? And stop trying to do bash-isms in a zsh system?