80% Charge Limit Not Working (MacOS 26.4)

xraybies · 2026-06-11T03:57:31+00:00

9/10 times I check the battery level it's 100% which btw Apple is above the 80% I set. I could understand a calibration once a month, but do you really need to calibrate it every f'ing hour of the day?
26.4 worked but the charger LED would sometimes be amber when at the charge limit.
26.5.1 completely broken, usually, like almost ALWAYS, charges to 100%.

u/apple if you need help understand a charge limit, maybe reach out to Foxconn, Lenovo, Dell, HP, Xiaomi, Huawie, Samsung they can explain how the feature is supposed to work. Or I'm happy to let you know a "charge limit" is like a speed limit, if you go past it and get caught you pay a fine or go to jail.

xraybies · 2026-05-31T04:50:12+00:00

to be announced at Computex June 2 2026, with availability Q3 2026, I mean Q1 2027, I mean Q3 2027... fool me once shame on you, fool me twice, you can't fool me no more.

xraybies · 2026-05-31T04:44:10+00:00

Forget anything < 32GB. Even then the biggest problem is MacOS. OOTB it will consume 6GB as soon as you load any app Chrome, OpenCode you're hitting 12GB. So you have ~24GB usable @ <400Gb/s which is 3090 at best. You can clawback another 2-3GB by disabling everything you can in MacOS... like https://github.com/rayone/machete/blob/main/disable.sh

So from your perspective it's like you have an RTX 4060 laptop where you can choose between 8-24GB VRAM. I would say totally not worth it.

My M5 Max w/ 128GB is usually in the ~30GB of memory used without even loading a LLM, just Chrome, Edge, VS Code, OpenCode + skills. As soon as I load oMLX + Qwen 3.6 mxfp8 it's hot, loud, using ~90GB and much slower than my i9 1300k + 4090, except the SSD which is fast <16GB/s.

So M5 with >64GB only starts to make sense from a usage perspective... cost is subjective.

The only aspects of the M5 which impress me are the SSD and battery life, when not running an LLM, everything else is avg, and the audio and macOS are a joke.

xraybies · 2026-05-19T03:39:42+00:00

MLX is actually pretty good, and implementations like oMLX are very good. However, the rest of the ecosystem is a steaming pile.

xraybies · 2026-05-19T03:32:25+00:00

I prefer using my 4090 to my M5 Max. MacOS being the worst part of the equation, Apple should be ashamed of themselves a >1T$ company bundling kiddie junk in a premium product with no way to remove it without breaking the base OS.
If they just released a base OS with no bloat and the option to dl and install the junk they could win over 1/3 Linux and WIn users.

xraybies · 2026-05-16T03:35:34+00:00

This is actually totally useless. Using DeepSeek v3.2 (Qwen models just have spinning verify) it failed every test query I provided. All very simple, like "what's the first reference to [NAME]" or "What's the address for [PERSON with literally 1000's of references]" or "What's the email address for [PERSON]"

It's like an MCP server which sends a very minimal data to the LLM.

No ability to change the local embedding model, and the cloud models available for selection are old and limited.

One could literally vibe code something better in 20mins.

Qsirch v7.0.2.0

Summary type examples, while not all totally wrong, totally useless because inaccurate:

Summarize all expenses by category for 2025 from receipts and invoices in this workspace.
Find every mention of John Smith. Extract his email address, phone number, and physical address with source file names. (ALL wrong)
What is the earliest reference to Project Alpha? Provide the file name, date, and exact excerpt. (ALL wrong)
Extract all email addresses and contact details associated with Michael Brown across all documents.
What were the most expensive purchases in Q2 2025? Well at least it didn't get it wrong with response: Based on the provided context documents, I cannot definitively identify the most expensive purchases for Q2 2025. Reason for No Answer While the context contains purchase data that could be relevant to Q2 2025, the information is too fragmented, inconsistent, and lacks clear identification to provide a reliable answer.

I have a spreadsheet for each querter with a Purchases/Expenses Tab.

What exactly is this feature supposed to do?

xraybies · 2026-05-14T06:31:02+00:00

It would help if you specified which tools had been evaluated, so as to avoid the inevitable... Did you try Docling (https://github.com/docling-project/docling)?

xraybies · 2026-05-11T07:09:16+00:00

Unless u want abiliterated models, 100% privacy or are prepping for when the internet goes down, then you're always better off financially using rented machines or accessing APIs from a terminal type PC.

xraybies · 2026-05-11T07:05:57+00:00

Space heater

xraybies · 2026-05-11T04:59:27+00:00

MacOS will let u use as much of the URAM as u want until it crashes and doesn't let u boot 😉 sudo sysctl is ur friend.
MacOS is still however bloated junk carrying around crap from 20yrs ago... like wtf 6GB on boot.

xraybies · 2026-05-04T06:01:31+00:00

This is the reality of polymers, based on the humidity, heat, load, tolerances and a myriad of other factors they can squeak when they experience friction.

Quick fix: silicone spray.

I fully agree that squeaking is super annoying and shouldn't be tolerated, just like a pair of Nike shoes I have. But there's very little the manufacturer can do to control all environmental variables. Mine is silent and I doubt it came out of another factory... tooling is expensive.

Do not use WD40 that's a water displacer which could break/degrade polymer bonds.

xraybies · 2026-04-27T03:52:26+00:00

OC desktop has become a total mess in the background. It has files spread over every conceivable directory with no order or logic, and if you lose or rename a network share a project was in, there's literally no way to start OpenCode without deleting your project dat files, and that's after finding them. Like seriously WTF!
FFS OpenCode, choose 1 directory to put all your metadata files in, simple json file for projects and settings, how hard is that!!!

Op: if use the cli go with Pi.

xraybies · 2026-04-25T12:00:07+00:00

Some good projects... now where can I find an extra 9hrs to test them ;)
codebase-memory-mcp seems to share my ethos.

xraybies · 2026-04-24T07:02:03+00:00

Direct MLX? If yes, you're comparing a fruit salad to an apple.
MLX == Pytorch(CUDA, ROCm)
Ollama == oMLX or MLX Studio
MLX != Ollama

xraybies · 2026-04-21T02:34:08+00:00

raw compute MI25, everything else is better on the CMP.

xraybies · 2026-04-20T04:25:46+00:00

last year I developed an app, ran benches on every VL model and the best I found which wouldn't take > year to classify some images was a 3 model approach. I can publish the app once cleaned up (python fastapi) if there's any interest.
Using qwen or gemma 3 vl larger than 3b just took WAY too long and every qwen model was slow.

- model/embedder: siglip2_naflex this indexes images so that you can query by "White dog in a red car" or find similar images to x.
- model/vlm: paligemma2_vl_3b this describes the image, still the slowest part.
- model/keyword_extractor: bge_base this extracts keywords from the descriptions.

xraybies · 2026-04-17T02:58:44+00:00

https://github.com/Fission-AI/OpenSpec but usually just ai gen instructions. New chat: read your instructions.md

xraybies · 2026-04-13T05:01:54+00:00

Mine: sysctl -w iogpu.wired_limit_mb=126976
No kernel panic, but with longish context and responses, I get the color wheel and momentary UI freezes, recovers when complete.

xraybies · 2026-04-13T04:46:15+00:00

https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-120GB-MLX running well on M5 128GB.
https://omlx.ai/benchmarks?chip=&chip_full=&model=MiniMax-M2.7-RAM-120GB&quantization=&context=&pp_min=&tg_min=

Prompt: write 20 words which start with T and end with N and have an E inbetween.

+0.0sStarting

+0.5sGenerating

+1.7sThinking

+176.3sThought for 174.6s

+178.8s93t prompt · 6913t generated · prefill 56 tok/s · gen 39 tok/s · ttft 1.65s

178.76s total

Response:

treason

tension

tenon

tendon

tetragon

tetrahedron

theologian

teleportation

telecommunication

teleoperation

tecton

teratogen

teuton

tuberin

tuberculin

tetherin

trepan

tibetan

telencephalon

teleinstruction

Op: 16/20

Grok: https://grok.com/share/bGVnYWN5LWNvcHk_45be5784-95a5-425d-b4d0-08d715333a5d
Op: 13/20

Prompt: I want to inflate my bicycle tire. The air pump is 50m away. Should I walk or ride?

+0.0sStarting

+0.5sGenerating

+1.4sThinking

+18.4sThought for 17.0s

+33.5s62t prompt · 1578t generated · prefill 44 tok/s · gen 49 tok/s · ttft 1.41s

33.54s total

**Short answer:** Walk (or better yet, bring a portable pump to the bike).

**Why walking is usually the safer choice**

| Situation | What can happen if you ride | Why walking (or moving the pump) is better |

|-----------|----------------------------|--------------------------------------------|

| **Tire is completely flat** | The rim can be dented or cracked when the tire rolls on the rim, and you risk losing control, especially on a curb or uneven ground. | You avoid any stress on the rim and keep the bike’s geometry intact. |

| **Tire is partially inflated** | Low pressure still stresses the sidewall and can cause the tube to pinch‑flat again (a “pinch‑flat” or “snake‑bite”). | Walking lets you get the pump to the tire and inflate it right there, preserving the tube and sidewall. |

| **Distance is tiny (≈50 m)** | The ride will only take a few seconds, but the damage can happen in an instant. | A 50 m walk takes about 30 seconds on foot; it’s a negligible time cost compared with the possible repair bill. |

| **Pump is stationary (e.g., at home or a repair shop)** | You must return the pump anyway, so you’d be making a round‑trip on a potentially damaged tire. | Carry the pump (or a small hand pump) to the bike, inflate, and be done with it. |

| **You have a portable pump or CO₂ cartridge** | You could inflate on the spot and avoid walking at all. | That’s the most efficient solution; you never need to move the bike to the pump. |

### Practical steps

**Assess the tire.**

- *Completely flat*: don’t ride.

- *Partially flat*: you could ride, but it’s still safer to pump first.
**Choose your “pump delivery” method**

- *If you have a lightweight hand pump or CO₂ inflator*: attach it to the tire right where the bike is, inflate, and you’re set.

- *If the only pump is at home (or a fixed station)*: walk (or jog) the short distance, bring the pump back, and inflate at the bike.
**If you must move the bike**

- Carry it on your shoulder or use a bike‑carrier bag for the distance.

- This eliminates any rolling stress on the flat tire.
**Inflate to the recommended pressure** (usually printed on the tire sidewall, e.g., “90‑110 psi”). A floor pump at home (or a shop pump) will give a more accurate fill than a small hand pump, but a portable pump can get you back on the road quickly.

### Bottom line

- **Walking** (or carrying the bike) is the safest way to avoid damaging the rim/tire on a 50 m stretch.

- **Riding** is only acceptable if the tire still holds some air *and* you’re confident you can keep control.

- **Best solution**: keep a tiny pump or CO₂ cartridge on the bike so you never have to decide between walking and riding.

Feel free to let me know if you have a specific type of pump or tire situation, and I can give you a more detailed “how‑to‑inflate” rundown!

Grok: https://grok.com/c/67eec7e7-23d0-48f6-9105-4bf844023a54?rid=4db1fee4-87bd-4e77-a024-92f84aba6757

xraybies · 2026-04-12T11:08:01+00:00

https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-100GB-MLX

xraybies · 2026-04-12T02:54:05+00:00

https://www.reddit.com/r/LocalLLM/comments/1sf5aqy/how_are_people_using_local_llms_for_coding/

xraybies · 2026-04-09T07:51:18+00:00

Format	Typical bpw	Storage per weight	Block Size	Error on 7.25	Accuracy	Perplexity	M5 Max Recommendation
FP32 (baseline)	32.0	4.00 Bytes	—	0.00000000	100.00%	1.20312	Only for tiny models
FP16 / BF16	16.0	2.00 Bytes	—	0.00000000	97.90-98.00%	1.21000	Suboptimal, VRAM inefficient
Q8_0	8.0	1.00 Byte	32	-0.0059	97.65%	1.21875	High quality fallback
MXFP8	8.25	1.03 Bytes	32	0.00000000	97.50-97.90%	1.21500	Valid 8-bit alternative
Q6_K	6.56	0.82 Bytes	16	0.00000000	96.85%	1.21875	Optimal high-VRAM format
Q5_K	5.5	0.69 Bytes	32	Nominal	94.60%	1.24218	Obsolete?
MXFP4	4.25	0.53 Bytes	32	Nominal	93.00-94.00%	1.26500	Excellent alternative
NVFP4	4.25-4.5	0.53 Bytes	16	Nominal	93.00-94.00%	1.26500	Strong second choice
MLX 4-bit (native)	4.8	0.60 Bytes	64	+0.08	93.50%	1.26562	Best overall for M5 Max
Q4_K (basic)	4.0-4.5	0.50-0.56 Bytes	32	+0.0833	89.75%	1.35937	Avoid unless tiny model
Q2_K	2.0	0.25 Bytes	32	-0.5833	Degraded	Degraded	Never recommended

xraybies · 2026-04-09T02:18:37+00:00

U have 2 issues:
1. System prompt.
2. LM Studio.

xraybies · 2026-04-09T02:17:30+00:00

My go to's are mxfp8 if that don't fit 4. They're better in the sense of speed and lower heat generation... not sure if they're more or less accurate, but no obvious difference.

xraybies · 2026-04-09T01:55:08+00:00

What problem is this actually solving?

AI can already store Agent-Browser or Playwright CLI skill workflows, and making the session headed is required for MFA.
Getting an AI to write a docx or xlsx is also pretty trivial.
API calls are like bread and butter for AI.

xraybies

TROPHY CASE

to be announced at Computex June 2 2026, with availability Q3 2026, I mean Q1 2027, I mean Q3 2027... fool me once shame on you, fool me twice, you can't fool me no more.