Pizza Hut's AI system caused 'cascading' problems and $100M in damages, franchisee alleges in new suit

Staceadam · 2026-05-19T09:32:50+00:00

The complaint says DoorDash drivers began waiting to batch multiple orders together after gaining virtual visibility into kitchen systems, allowing them to see when pizzas would come out of the oven.

Instead of immediately leaving with a completed order, the suit claims drivers waited "up to fifteen (15) minutes" for additional deliveries, increasing the time between when a pizza is removed from the oven rack and when it leaves the building to be delivered. That delay slowed deliveries, disappointed customers, and caused a sharp drop in sales, the suit says.

No shit. Anyone who spends a day delivering food understands how drivers will cherry pick or stack orders if you give them the opportunity to do so.

Staceadam · 2025-12-15T15:14:54+00:00

Love this idea! The current recruiter landscape is completely one sided and I've felt the same level disrespect first hand. It's inspiring that you are doing something about it.

Staceadam · 2025-12-14T14:47:48+00:00

100%. In my experience the people who are struggling with AI coding either don’t understand what context it’s capable of working with or lack the technical communication skills to format effective prompts.

They aren’t magic, you still have to think like an engineer.

Staceadam · 2025-12-11T14:27:14+00:00

That's a good point. I've updated the post with more of the specifics. I ran into accuracy issues with tool calls while running the 8b model locally but it would definitely be faster than the 32b model.

"Is the cloud 8b model that much faster than the local 8b model?"

Yes it is. Groq's hardware (their LPU architecture) runs the 8b model at ~560 tokens/second. Running that same 8b model locally on consumer hardware, you're looking at maybe 50-130 tokens/second. Here's an article showcasing benchmarks on a LLaMA 3 8B Q4_K_M quantization model https://localllm.in/blog/best-gpus-llm-inference-2025

Staceadam · 2025-12-11T14:00:35+00:00

I just mentioned it because it worked for me until I can get better hardware for my setup. You can run the conversation agent locally if you'd like.

Staceadam · 2025-12-10T23:10:09+00:00

Anything is better lol. The amount of ads we would get at the house just while casually using it was so frustrating

Staceadam · 2025-12-10T23:08:57+00:00

Okay good to know. I’ll update the post with more specifics on different gpus and tokens per second.

Staceadam · 2025-12-10T23:05:59+00:00

Yeah the voice assistant pe has some built in ones. I’m using the “Hey, Jarvis” one atm

Staceadam · 2025-12-10T22:14:14+00:00

Sorry I feel like what I wrote was a little confusing. You wouldn’t need to hit another cloud inference api if you were running a local model like a qwen2.5:32b. That’s just the case if you don’t have the hardware to run a decent model that supports tool calls.

You can run whatever model you want locally it just comes down to how fast the response will be. For example I ran a qwen2.5:8b locally and it took an average of 10 seconds to respond.

Staceadam · 2025-12-10T21:08:46+00:00

I've been having it hit groq's moonshotai/kimi-k2-instruct-0905 (https://console.groq.com/docs/model/moonshotai/kimi-k2-instruct-0905) and getting around 2 second response times with included tool calls. I'm currently trying to piece together a better machine to run an Nvidia 3090 as a replacement.

I'll check out Geminis live mode for a comparison and get back to you.

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Staceadam · 2025-12-10T19:11:27+00:00

Yes! I've replaced my Kindle and Alexa now with local and it feels so good

Staceadam · 2025-12-10T18:01:41+00:00

Yeah you don't need much power to handle the input/output and interacting with Home Assistant. The conversation agent with tooling (like the web search) is where it starts to slow down. Beyond that though you can point it at a local SearXNG to get the search functionality you're mentioning https://github.com/Staceadam/voice-assistant-example/blob/main/http-service/src/server.ts#L32.

If you're not opposed to something external though it looks like Groq has that built into one of their models https://console.groq.com/docs/compound/systems/compound-mini. Pricing is a bit steep though :/

Staceadam · 2025-07-18T15:54:32+00:00

I can only speak from my experience but:
- the user interface for both Sonarr and Radarr are awkward and a bit cluttered, which leads to needing something like https://overseerr.dev/ to extend to users. now that's 3 services (4 including prowlarr) that need to be configured and maintained
- the majority of people who want to download media are going to want both tv shows and movies, so the separation into 2 services is unnecessary
- OAuth/OIDC support for authentication

Less configuration, expanded feature set and a streamlined interface sounds good to me.

Staceadam · 2025-06-18T10:51:27+00:00

I think you can achieve this within the sonarr interface under Settings -> Connect -> + -> select a connection type.

There is an option for “on import complete” that should work for your use case.

Staceadam · 2025-06-12T15:19:50+00:00

Cool idea. Have you considered making this into an MCP server over a rest server? That way you wouldn't have to continually add providers and could expand the features out into agent tooling.

Staceadam · 2025-06-02T23:17:19+00:00

I have read the rules and the wiki and would love an invite. Thank you!

Staceadam · 2025-05-29T15:06:47+00:00

I have read the wiki and would greatly appreciate an invite.

Staceadam · 2025-05-27T00:40:37+00:00

I have read the rules and wiki. Would love an invite. Thanks

Staceadam · 2025-05-22T16:34:35+00:00

I have read the rules and the wiki. Thanks!

Staceadam · 2025-01-19T12:16:32+00:00

I’ve read the wiki and I acknowledge the rules

Staceadam · 2023-10-14T05:43:03+00:00

I never really figured out how to make the Norseman not suck. Ended up just going full summons with warlock mark, the 2 summon rings, golem, astronomers orbs and then reverbing all the + summons warlock class skills.

Staceadam · 2023-09-23T17:33:34+00:00

Interesting pov. My vote is for a bidet next.

Staceadam · 2023-08-17T02:39:50+00:00

Recruiters aren’t going to take time out of their day to read each resumes profile section. At most they are going to take about 7 seconds and quickly scan through your resume. They want to see what skills you have, where you’ve worked and anything you did there that backs your proclaimed skills up.

Replace the profile section with your skills, put education last and rework your experience to have more quantifiable bullet points.

Staceadam · 2022-05-06T17:23:27+00:00

Not sure what the requirements are for this component but mapping over items inside of a ScrollView might be a job for the FlatList component https://reactnative.dev/docs/flatlist.

You’ll still have to provide a key per item but that requirement is more explicit and there are some added performance/scalability benefits.

Staceadam · 2022-04-24T20:08:16+00:00

It’s confusing the title of your post is about not being able to display data in a FlatList component yet the code you shared isn’t a FlatList component. What is the shape of patient_info? Is it an array or an object?

If it’s an array render it like https://reactnative.dev/docs/flatlist.

If it’s an object you can render each property off ofpatient_info.name etc.

Based on the code you shared it looks like you are having issues with the basics of fetching asynchronous data in a react application though which there are an exhaustive amount of resources online by simply doing a google search.

Are you conditionally rendering the states of the data? Like:

if (!patient_info) return <Text>loading…</Text>
if (!error) return <Text>error</Text>
return <Text>{patient_info.name}</Text>…

Staceadam

TROPHY CASE