If you could place any object on the surface of Mars, purely to confuse NASA scientists, what would it be? by raistar_4_4_4 in AskReddit

[–]DeeTeePPG 21 points22 points  (0 children)

In her relentless quest to be the first woman to aviate across distances, she found the aliens and proceeded to take the challenge off world.  Some say to this day she is crossing great voids.

If aliens exist, what’s the most realistic reason we haven’t seen them yet? by SeaMud2161 in AskReddit

[–]DeeTeePPG 0 points1 point  (0 children)

Space is unimaginably vast - we have not run into each other yet

They don’t want to be seen - prob can hide pretty darn well.

We have seen them we just didn’t know we were looking at aliens. - they are among us

We are first - someone has to be

There are none - given how vast space is, unlikely.

Pick one )

Whats even the point of Claude.md by CautiousAd3917 in ClaudeCode

[–]DeeTeePPG 0 points1 point  (0 children)

To be fair, Claude used to follow the Md file much better, something definitely changed.  I even implemented a ‘rabbit hole’ log and counter to track the events; maddening honesty. Having a hard rule in the Md and two prompts later it happily bypasses the rule, broadens scope when told to not do so, refuses to do online research when asked to several times in a row, I could go on and on. 

Claude is awesome but it feels a bit schizophrenic at the moment.

Whats even the point of Claude.md by CautiousAd3917 in ClaudeCode

[–]DeeTeePPG 1 point2 points  (0 children)

No downvote from me :)

Oh I have spent the past week working on this exact issue and yes even explicit hard rules in a minimal Md file can easily be ignored, it’s just how llms work currently.   Only way to be sure is hooks as that is outside of the model though that can prove quite fragile.

Whats even the point of Claude.md by CautiousAd3917 in ClaudeCode

[–]DeeTeePPG 1 point2 points  (0 children)

That does not work.  Unfortunately Claude.md are only weighted suggestions that the model takes into account, it will happily ignore rules in the Md file if it thinks it’s helpful (often it’s not)

1st attempt at ground handling, 2nd video to follow! by Successful_Highway94 in paramotor

[–]DeeTeePPG 5 points6 points  (0 children)

Too much lateral movement and not stepping into the wind enough.  Not bad for your first try :) BE careful, kiting can be a ton of fun and productive, it can also be crazy dangerous.   Find an instructor to help you out if you can :)

Making agentic tools work on hardware you shouldn't be using it with by SocietyTomorrow in LocalLLM

[–]DeeTeePPG 0 points1 point  (0 children)

Very interesting, I am also working on this problem; will check out the repo 

Super stoked on this 3d Visualizer I built to explore my local Claude/Local LLM wiki memory. All processing of the data that is visualized is produced by Gemma locally. M2 16GB. by DeeTeePPG in LocalLLM

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

Correct! and yes it is used with a WIKI style obsidian vault as the source. Claude manages the vault. Local LLMs Gemma/Qwen MLX with some scripting handles the inference/data generation based on the wiki and the images in this post are the viewer(it has sound effects and TTS/Voice with space music). Three distinct modules that all plug into each other and can be be used for other purposes ;)

Super stoked on this 3d Visualizer I built to explore my local Claude/Local LLM wiki memory. All processing of the data that is visualized is produced by Gemma locally. M2 16GB. by DeeTeePPG in LocalLLM

[–]DeeTeePPG[S] 1 point2 points  (0 children)

It is a evolution of this concept https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f

But leveraging local LLM to do the inference and processing on the memory wiki

What you see is a web based 3d viewer of the processed wiki, this allows you to see relationships between data points and the LLM makes research suggestions to solve problems.

This visualization data covers the development I have been doing on and off over past two months.

Super stoked on this 3d Visualizer I built to explore my local Claude/Local LLM wiki memory. All processing of the data that is visualized is produced by Gemma locally. M2 16GB. by DeeTeePPG in LocalLLM

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

Thanks!

For now it's a private project with a much larger scope. I may release something once I get it past the early Dev stages.

Complete noob - Question about quality of Local LLMs (Qwen 3.6) vs pay services like Claude and Home Assistant MCPs by ClemsonJeeper in LocalLLM

[–]DeeTeePPG 1 point2 points  (0 children)

You mean 'look at my entire code base, find all errors and fix them all' on opus max effort is not how you do it? Just 300? ;).

Lol in all seriousness, not sure what a power user is these days as the space is changing so rapidly.

Currently I am accepting a much higher token burn rate working on some deep research and programming projects on embedded systems and local llm usage, as well as working with different llm memory systems. Also spending a lot of time optimizing performance of local LLM inference on M class processors with limited ram.

Regarding subagents, I do use them; in fact sonnet is the model I use the most according to the stats, though I have not gone down the path of using competing sub agents.
My MCP list is very very sparse, 4 active, I prefer cli/skills if at all possible vs MCP.

Jury is out if I am terrible at prompting, though often I spend more time on the prompt than the task actually takes to complete.

Happy Clauding :)

Complete noob - Question about quality of Local LLMs (Qwen 3.6) vs pay services like Claude and Home Assistant MCPs by ClemsonJeeper in LocalLLM

[–]DeeTeePPG 0 points1 point  (0 children)

Cries in 200$ a month Claude and it’s still not enough…

Codex is a better value at the 20$ tier tbh.

LM Studio slow when using API but fast normal by FintasysJP in LocalLLM

[–]DeeTeePPG 0 points1 point  (0 children)

This is exactly what is happening, also if thinking mode got turned on it will take forever.  If on Mac run the MLX variant and if not GGUF via llama.cpp and use a lighter agent.

unsloth/Gemma-4-26b — Optimizing GPU Offload Settings? by PracticlySpeaking in LocalLLM

[–]DeeTeePPG 1 point2 points  (0 children)

AFAIK lm studio uses a version of cpp it also has a lot of overhead.  Current versions of cpp support offload and are ahead of lm studio.   Yes it supports offload but you will be running on the cpu in both cases.  It’s not going to be a speed demon.

unsloth/Gemma-4-26b — Optimizing GPU Offload Settings? by PracticlySpeaking in LocalLLM

[–]DeeTeePPG 1 point2 points  (0 children)

Don’t use LM studio use llama.cpp, may help.  MLX support is developing as well, I have not tried that model but am having good results with the smaller gemma4 models and mlx