"I need a wee" -> tries to play music because "wee" is a genre

"I need a wee wee" -> starts the vaccuum in the bathroom

"I'm going to the toilet" -> says it'll turn on the toilet, and I'm not totally sure what that entails.

"I'm going to the toilet and can't see" -> reasons that lights should be on in the bathroom, then chooses again to turn on the toilet.

"I'm going to the toilet and can't see where I'm going" -> reasoning is "'going to the toilet' -> control_device with device 'coffee maker' (toilet implies coffee maker)"

"I'm going to the toilet and can't see where I'm going because it is too dark" -> "'dark' -> direction 'dark'; adjust_lights with brightness 100 for darker light"" and chooses to turn the lights in the living room to "dark" which fails.

At this point the vacuum is in a dark bathroom, the living room is 100% brightness and playing "wee". At least there's coffee.

Or maybe it just has a weird thermostat down bias? "make it hot" also had it turn it down (specifically it went from 20->18, or at least tried to, the UI still showed 20), with high confidence. Also might have a bit of a Celsius vs Fahrenheit confusion. Neat concept, but I might not want to let it control the oven at the moment.

The laptop demo worked better until I tried to open the mail app. "Check mail" kept opening the browser with an error, and "check email" makes a note with the text "email", "open email" goes to "https://api.email.com/v1/email" in my real browser, but "open mail" does work.

And I presume the "reasoning" isn't very trustworthy? In the car I got "'turn it up' means lower volume -> set_volume with lower value." For the house, reasoning would correctly say that I wanted the alarm off, but it didn't actually do it.

I'm a big fan of OpenStreetMap, and I enjoy editing it from my computer. From my phone, I find it quite tedious trying to make sure I type in the phone number exactly correctly and double-check it, or find and select the right field from the large list of fields available in Upredor.

Generally, how it works is I see a restaurant, and there's a sign. I know that it says, "Cash only. Here's the phone number. Here's the opening hours." What would be really cool is if I could just speak to the phone and say, "Hey, here's the information about this place." It would automatically use your location to detect what places are nearby and maybe even detect which place you're talking about, and then tell you, "Okay, here are the changes I think you're proposing to make, or these things you stated are the ones that would create a diff." This would be limited to just perhaps the 20 most common keys in some predefined set of values for most of them. Like cuisine=x should just match to the most common not make up new ones.

Of course, this is something a large language model could do, but having it run on device would be a lot nicer and cheaper.

What's more important than the resource requirements is to highlight what the model simply cannot even attempt to do that general LLMs do decently well.

In other words, tell me the anti use case clearly so that I don't have to find out myself.

   Model                            Correct tool shape    Exact arguments
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  ━━━━━━━━━━━━━━━━━━━━  ━━━━━━━━━━━━━━━━━
   FunctionGemma fine-tune, BF16       209/230 (90.9%)    196/230 (85.2%)
  ───────────────────────────────  ────────────────────  ─────────────────
   Needle 3 fine-tuned W4A8             74/230 (32.2%)     47/230 (20.4%)
  ───────────────────────────────  ────────────────────  ─────────────────
   Needle 2 fine-tuned W4               59/230 (25.7%)     43/230 (18.7%)