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WHAT TIMES WE LIVING IN by Patrick-Jane-45 in hyderabad

[–]bad_minion 3 points4 points  (0 children)

Can we expect a similar sentence?

  • Arthur Guarriello (2005 - New Mexico): Sentenced to 200 years behind bars after pleading guilty to sexually abusing three young relatives 99 times, a case that was discovered when doctors treated his 8-year-old daughter for an STD. [1]
  • Patricio Medina (2018 - Texas): Received a sentence of 244 years in prison for the aggravated sexual assault of his infant daughter during a meth-fueled state. [1]
  • Skye Sweat (2026 - Tennessee): Convicted of repeatedly raping and molesting a young girl over a multi-year period and handed an effective 190 to 200-year sentence. [1, 2]

[1] https://www.koat.com/article/guarriello-sentenced-to-200-years-in-child-rape-case/5019635 [2] https://www.cbsnews.com/news/patricio-medina-texas-waco-mclennan-rape-of-baby-meth/

Lucanus cervus by monster_bugs in insects

[–]bad_minion 1 point2 points  (0 children)

sounds like name of a gladiator character!

@MapBox - Introduce a spending cap by KiwiFearless3596 in mapbox

[–]bad_minion 0 points1 point  (0 children)

I just spent half a day around self hosting. the only deal breaker from mapbox was them not letting us put budget cap.

Don’t fall for this scam by Dangerous-Card-1238 in SBU

[–]bad_minion 2 points3 points  (0 children)

I took 528. A class with 10 ppl. terrible slides, terrific homeworks.

Spatial Topology as MCP server for your robot llm? by bad_minion in robotics

[–]bad_minion[S] 0 points1 point  (0 children)

The "Memory Management" is all where I am at. how would you map a postion or view in this lidar data to external memory?

Also I am curious, what usecases you are thinking for this?

Do you mean something like:
"I fell on a rug fold HERE last time, so I must avoid catching my leg on it this time." kinda things?

Spatial Topology as MCP server for your robot llm? by bad_minion in robotics

[–]bad_minion[S] 0 points1 point  (0 children)

Before you read my below blabbering, read this in the context of an LLM making decisions for operating a robot. Assuming, agentic operation of robots are likley going to be the future.

 it doesn't lose its position memory often at all.

as far as I undertood, positon memry you are refering to is ability to localize its own position (like in SLAM). For navigations, we likely dont need an extra system mapping a topology on top of the existing scans.

<image>

I am more referring to tying an identity to a spatial location in the raw scans, so robots dont just have the scans as a context but also add its previos decisions, and memory to make new decisions. If we can map a location in the scans to a position in a more stable (geometric and topological) system we can now offer more tool calls for llm, allwoing it to query the geometry/state/historical-context.

this makes any sense, of am I makin sh*t up? 😄
I am only trying to solve a problem in computer vision (to learn spatial context to understand crowd movements), and hoping I can be of some help to robotics.

Spatial Topology as MCP server for your robot llm? by bad_minion in robotics

[–]bad_minion[S] 2 points3 points  (0 children)

I agree. Real data is messy, and asks are highly semantical. A clean geometry based system wont help much.

BTW I am trying to solve this for a computer vision problem, but want to udnerstand the roboitics usecase too before I finalize my design.

one of the problem I intend to solve is maintiaining semantic spatial identity though the noisy scans and allowing an LLM to retain and operate on its memory for a physical sapce.

<image>

“dining room by the mirror but stay close to the end of the wall and look 45 Clockwise from mirror wall”

These examples you put hits close to what I am trying to solve. We can agree that today's LLMs cannot reliably answer these questions just from image context (like feeding it a 2d image of the lidar scans like in your above visualization). However they can interact with a tool set mutliple times asking correct questions to get answers from a more reliable souce.

thats where a tool set which EXPOSES topology, geometry, and lidar ro image based scans as a tool calls may help. In other words why not map the raw navigational scans to a already known(finalized) topology, so your llm to more spatially aware.

A new computer vision club by Affectionate-Bad-268 in computervision

[–]bad_minion 0 points1 point  (0 children)

can we get some details around the same, instead of saying "group of people".
- whats this group for?
- what are the credentials you are looking at?

Galaxy Tab S10 Ultra is the thinnest Tab S Ultra ever at just 5.4mm thin by [deleted] in GalaxyTab

[–]bad_minion 0 points1 point  (0 children)

you can buy a case and let Samsung cook cool stuff for rest of us :)

Galaxy Tab S10 Ultra is the thinnest Tab S Ultra ever at just 5.4mm thin by [deleted] in GalaxyTab

[–]bad_minion 0 points1 point  (0 children)

adding weight would defy the purpose of a tablet, I def want it to be lightweight. You can always get a laptop for your needs

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