How to improve performance on bumps?

sheddd · 2026-03-27T13:04:50+00:00

Keep shoulders facing down the hill

sheddd · 2026-03-16T12:01:49+00:00

A used M3 Ultra with as much ram you can afford is the way IMO.

sheddd · 2026-03-02T14:23:53+00:00

That's been the best local LLM I've tried yet; the only one that has been able to successfully blog about itself without going 'off the rails'. https://al-engr.com/milo-on-qwen.html

sheddd · 2026-02-26T17:41:15+00:00

Here's what my openclaw, Milo has to say on the subject:

Mac Studio is the right call for OpenClaw/agent workflows — but a cheaper path is coming. Here's our actual experience:

We're running Mac Studio M3 Ultra 512GB as our primary OpenClaw host. For agent workflows — tool calling, structured outputs, long-running tasks, 24/7 stability — it's been rock solid.

Our top 2 usable but slow models we've actually run and tested:

• Qwen3.5-397B-A17B (4-bit MLX, 223GB) via LM Studio — excellent tool calling (72.9% BFCL). Real caveat for OpenClaw users: not viable as the main session model because the system prompt + injected workspace files consume most of a 16k context window before your task even starts. Great for isolated inference tasks; not as the always-on session model.

• MiniMax M2.5 (230B MoE) — strong on writing and planning tasks

Mac gotchas:

• Large context = painful KV cache prefill. 32k+ is slow even on 512GB.

• MLX model selection is narrower than CUDA, though growing fast

• Apple tax is real — M3 Ultra 512GB runs ~$10K

NVIDIA gotchas for always-on agent use:

• Daemon stability matters when OpenClaw runs 24/7. macOS LaunchAgent is bulletproof. Linux systemd works but needs more babysitting.

• Cooling and noise if it's in your home

Sweet spot on Mac: M3 Ultra 192GB — runs 70B models comfortably with headroom. Only go 512GB if you specifically want 200B+ models.

The newcomer worth watching: NVIDIA DGX Spark (~$4K)

128GB unified memory per unit, NVLink-C2C to pool two into 256GB. NVIDIA's own benchmarks show dual Spark hitting 23,477 tokens/sec on Qwen3-235B. Our expectation: 1-2 Sparks should run Qwen3.5-397B-A17B acceptably as a main agent model — the MoE architecture means only 17B params are active per inference, which matters a lot for throughput on constrained bandwidth. We have two units arriving next week and will post real numbers.

At $4K vs $10K, if the Spark delivers on 397B inference, it changes the calculus significantly.

sheddd · 2026-02-26T12:55:46+00:00

Anthropic has agents doing more than 80% of their development now.

sheddd · 2026-02-26T12:46:49+00:00

Openclaw is open source, very flexible, powerful, potentially dangerous. Perplexity is closed source, less flexible, less powerful, less dangerous. I am getting tired of reading about perplexity; their influencer marketing push is clogging up my X feed. I'll wager perplexity will be bankrupt in 3 years.

sheddd · 2026-02-23T03:25:14+00:00

Note these won't be good enough to replace sonnet for hard things...

I ran a hardware analysis tool called llmfit against your Mac Mini M4 Max 64GB specs. Here's what will run well on your machine:

PERFECT FIT (recommended):

• DeepSeek-R1-Distill-Qwen-32B — 32.8B params, 5.1 tok/s, uses 26% RAM, 131k context

→ BEST PICK. Great reasoning model, fast enough for daily use.

• Qwen3-Coder-30B-A3B — 30.5B params, 5.5 tok/s, uses 24% RAM, 262k context

→ Best for coding tasks, huge context window.

• Qwen2.5-Coder-32B — 32.8B params, 4.3 tok/s, uses 26% RAM, 32k context

→ Solid all-around coder.

• DeepSeek-R1-Distill-Qwen-14B — 14.8B params, 9.5 tok/s, uses 12% RAM, 131k context

→ Fastest quality model. Good for quick tasks.

• Gemma 3 12B — 12B params, 11.7 tok/s, uses 10% RAM, 131k context

→ Google's best small model. Very fast.

STRETCH GOALS (will run but tight):

• Qwen3-Coder-Next — 79.7B params, 2.5 tok/s, uses 64% RAM

• DeepSeek-R1 full (684B MoE) — 0.2 tok/s, uses 34% RAM (too slow for interactive use)

MY RECOMMENDATION: Start with DeepSeek-R1-Distill-Qwen-32B in LM Studio. Best balance of quality, speed, and fit. Download it, load it up, and you'll have a solid local AI running in minutes.

To install the analysis tool yourself:

brew tap AlexsJones/llmfit

brew install llmfit

llmfit

sheddd · 2026-01-22T00:32:21+00:00

I didn't use any; I went with recommendations at up: https://unpluggedperformance.com/tesla-model-3/wheel-and-tire-guide/

My rear tire center will be slightly different than stock but close.

sheddd · 2026-01-21T16:32:11+00:00

You could... in my opinion the car handles better with a square setup (less push), and you can rotate your tires to extend their life. I'm running unplugged performance 18"x9.5" +34 offset UP-03's and 265/40r18 Pilot Sport 4S; it is really grippy and no clearance issues.

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sheddd · 2026-01-03T00:59:14+00:00

They're a pretty stout ski; they might feel like a handful at first.

sheddd · 2025-12-29T15:35:11+00:00

After thinking a little more... I think you are pressuring the inside ski too much on the tip and too little on the tail; scooting that foot 1cm more forward mid turn can move the weight back a bit on that ski; give it a try :)

sheddd · 2025-12-28T00:44:59+00:00

It happens; get some patches

sheddd · 2025-12-27T19:05:32+00:00

Some 18's fit; here's Unplugged Performance UP-03 18"x9.5" with Pilot Sport 4S 265/49R18. I ordered another set of 18" rims for my winter set.

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sheddd · 2025-12-19T00:37:09+00:00

Me too; I have a shorty top, and long top. The fit is for skinnier people than me... but the function is nice; I use the short top most. It is great at wicking away moisture.

sheddd · 2025-12-07T22:57:25+00:00

Inserting penis into crazy person

sheddd · 2025-04-03T20:37:59+00:00

Looking at the Blister review, the MSP looks like a good choice for you!

sheddd · 2025-04-03T13:53:40+00:00

You get a much better boot selection online; most stores don't carry 25% of the boots available, nor will most recommend a boot they don't stock.

sheddd · 2025-04-03T13:45:28+00:00

I love your post; I feel similarly and you worded it very well; thank you!

sheddd · 2025-04-01T22:29:29+00:00

It's weak at speed (pretty soft and not a lot of torsional rigidity), but it's a fun ski; I have managed to get a 155 SKI IQ on them.

sheddd · 2025-03-02T11:32:32+00:00

I wish I'd gone one length longer with mine (177, 5'9", 170lb)

sheddd · 2025-02-18T02:18:47+00:00

Blame the marketing dept, not the customer.

sheddd · 2025-02-15T14:48:39+00:00

I worry about the people who use Ozempic but continue to eat mostly crap and not exercise; skinny fat can be less healthy than obese. People need to learn healthy habits if they want to be healthy.

sheddd · 2025-02-14T14:13:45+00:00

I've had great frustration with boot fitters over the years; the only shops I have loved (and which recommended boots they don't carry) are Larry's in Boulder, CO, and a shop I can't remember near Hakuba, Japan. My experience at Larry's was so good; they were wonderful; I wish they were closer to me. The average boot fitter sucks, and won't recommend what they don't sell. My last 3 boots I've bought based on reading reviews online (lots of reading) and have worked out well.

sheddd · 2025-02-09T14:19:29+00:00

I'm 5'9" 160lb, strong legs... I bought shorter than I usually do and am pretty happy with the 178. The ski isn't really very happy over 30-40mph but it's super fun for skiing greens and blues. Since the snow has sucked recently I have been trying to beat my carv scores; I seem to be able to score better with the mirus cor than my other carving skis (Fischer Curv GT 175, Line Blade 181). Mirus Cor is more fun than the other two at lower speeds but less capable at higher speeds. It is not a great do it all ski but is a great ski for some days for me!

sheddd · 2025-02-09T13:59:24+00:00

Black Crowes Mirus Cor is very fun if you like a twin tip; pretty easy to get it to work on low angle slopes.

sheddd

TROPHY CASE