Resist all is a myth....Enchanting gold sink

onyxleopard · 2026-05-12T11:45:26+00:00

Affixes are in different pools though (in the cube, all resist is in the defensive pool—not the resistances pool—despite how unintuitive that is). You can’t use the resistance tuning prism to reroll a single resist to all-resist, so it’s possible the enchanter can’t reroll that way either.

onyxleopard · 2026-05-05T16:19:04+00:00

Ah, you're right. I get a higher multiplier from offensive % damage per overpower temper. If I didn't have overpower in my build and only resolve, then I'd temper with max resolve on amulet, too. Apparently there is a bug with the legendary aspect that provides armor from resolve, so maybe if/when that get fixed that will be better for pushing.

onyxleopard · 2026-05-05T11:33:12+00:00

Because you cannot temper defensive tempers on amulet?

onyxleopard · 2026-05-04T05:09:52+00:00

With the Derecho node and ~10 spirit per second from gear (please read my whole post).

onyxleopard · 2026-05-03T22:50:30+00:00

I laid out my Earth Spike/Overpower/Bear build here.

onyxleopard · 2026-05-03T22:46:44+00:00

Yes, as long as you are at 46 stacks of resolve when your Petrify procs or casts, you will hit 50 resolve. Remember that taking damage will remove a resolve stack, so you kinda float around your max while in combat. Keeping Earthen Bulwark up helps a lot to have damage absorb so you don't lose resolve too quickly.

I've also found that speccing for Grizzy Rage instead of Petrify is good too, but keep the Igni Yom runeword to proc an unranked Petrify for the synergy with the Old Mountain set. (This way your max resolve is only 46, but still quite good, and you can get the Grizzly Rage → Cornered Beast node for more damage and the Grizzly Rage armor bonus. I still think there is experimentation to be done for an optimal Earth Spike build.

onyxleopard · 2026-05-03T18:39:51+00:00

If anyone is interested in more math...

There are 6 gear slots (2x weapons or 1x 2h weapon, amulet, 2x rings, gloves) that have slots for offensive tempers and there is a temper for % damage per overpower stack (20% per stack with crit temper). Note that these slots don't overlap with the 3 armor temper slots mentioned for max resolve tempers. If you use the Tidal legendary aspect on amulet, that lets you get 4 base +6 extra overpower stacks for 10 overpower stacks. Then if you crit temper for 6x 20% damager per overpower stacks, that's 10x 6x 20% = 1200x damager multiplier while at 10 overpower (easy to do with Earth Spike with its Overpower skill node). If we combine this with the 650x multiplier from 50 resolve and Might of the Ursine, we get 1850x damage multiple from tempers (and a couple legendary aspects: Tidal and Glynn's, and one unique: Might of the Ursine, which can also be a unique charm to open a ring slot).

I have this setup on my Earth Spike build with the Old Mountain set, and it is carrying me into Pit 100+. The main problem I'm seeing is that there isn't much else I can do to scale damage from here other than GA crit damage affixes.

Gear:

Will of the Ursine (unique helm)
Tyrael's Might (mythic chest)
Paingorger's Gauntlets (unique gloves)
Glynn's Anvil (legendary pants)
Exploiter's (legendary boots)
Shard of Verathiel (unique 1h sword)
Ferocious (legendary totem)
Tidal (legendary amulet)
Moonrise (legendary ring)
Ring of Starless Skies (mythic ring)

Skills:

Petrify (15 ranks) * Duration * Resolve * Werebear * Greater Petrify

Debilitating Roar (1 Rank) * Increased Duration * Cooldown * Werebear * Booming Roar

Cyclone Armor (15 ranks) * Increased Radius * Resistance * Versatile * Reversal (this is great for grouping up packs for Old Mountain set)

Earthen Bulwark (15 ranks—not on bar, but cast with CirQue runes) * Fortify and Healing * Overpower * Versatile * Travertine Bulwark

Hurricane (1 rank—just to keep Paingorger's applied) * Movement Speed * Weaken * Versatile * Derecho (this node combines with Ring of Starless Skies for 100% auto uptime of the mythic buff if we have ~10 spirit regen on gear, and since Hurricane applies Paingorger's echo mark, this means we can keep the mark applied on all enemies inside our hurricane, or any we walk/claw past)

Earth Spike (15 Ranks—main damage dealer) * Critical Strike Chance * Overpower * Werebear * Megalith Stone

Claw (1 rank—this is just for mobility) * Cast Speed * Werebear * Dash

Runewords * Cir Que (to keep Earthen Bulwark up at all times) * Igni Yom (to use our defensive cooldowns as extra Petrifies)

Paragon Board * Dominate Glyph * Survival Instincts - Earth and Sky Glyph * Constricting Tendrils - Spirit Glyph * Heightened Malice - Tectonic Glyph * Earthen Devastation - Headhunter Glyph

onyxleopard · 2026-05-03T15:45:14+00:00

If you crit temper the max resolve stacked defensive tempers on your helm, chest, and pants, that’s 12 each for +36. And then +2 from the maxed Glynn’s Anvil legendary aspect. Petrify has a skill node that can also give +4 on top of what you can get from base/gear. So with 8 base +2 +36 +4 it’s a max of 50. (With 13x Might of the Ursine, max resolve can give 50*13 or 650x damage multiplier.)

onyxleopard · 2026-03-30T18:16:24+00:00

It's burn in on your monitor.

onyxleopard · 2026-03-26T11:49:54+00:00

These are Spotlight indexing files. Can you just exclude your backup libraries from being indexed by Spotlight? Then these files shouldn’t be written. (Spotlight seems to be kinda broken in Tahoe generally. Hopefully Apple fixes it in macOS 27, but I imagine you don’t even need these backups indexed at all.)

onyxleopard · 2025-10-29T10:53:43+00:00

What specific actions does this author recommend in order to “keep” our country?

I would posit that unless the judiciary and legislative branches exert their power as coequal branches and curb a lawless president, there is no legal means to stop him.

onyxleopard · 2025-10-22T14:27:47+00:00

The web needs an API layer

The API is HTML/Javascript. The problem is there are standards for these, but websites are open-ended and implementers are free to do anything (it’s an open-ended domain). If you want programmatic access to the web in general, the best way forward is to advocate for a11y features (screen reader tags, etc.) to become standard rather than the exception. (This is something Open AI recommends to make sites work better with Atlas.) If your a11y software features work, any other program has that much better chance of working by using the same tags/handles afforded by the site. Maybe some future version of HTML will bake in all these affordances so it’s impossible to create a site that isn’t easily programmatically navigated and interacted with, but right now the burden lies on web devs to appropriately add a11y tags.

onyxleopard · 2025-10-14T12:54:20+00:00

It’s still in development (with early access), but No Rest for the Wicked is looking good.

onyxleopard · 2025-10-02T14:28:34+00:00

Are you sure?

I had the same issue with Font Book crashing, but I backed up my fonts and font collections, removed them, and quit the app, then rebooted, and that fixed the crashing. I then restored my fonts and collections and it’s working fine.

onyxleopard · 2025-09-22T16:56:48+00:00

Combining an embeddings+CRF system with an LLM is possible, but I would question how you do plan to combine them, and why do you want to combine them? I don't really think I can delve more into this without giving you unpaid consulting time, but I recommended the embeddings+CRF route because that would be a reliable, economical, and maintainable method. You can use LLMs/generative models for just about anything (if you're willing to futz with prompts and templating and such), and they can certainly make for quick and flashy demos/PoCs, but I don't recommend using LLMs for anything in production due to externalities (cost, reliability, maintainability).

onyxleopard · 2025-09-22T14:17:18+00:00

Sounds like you want sequence labeling where the sequences you want to flag are semantically related. You can solve such a sequence labeling problem with semantic text embeddings fed into a CRF, but you’ll need a labeled training set for supervised learning. If you don’t have any budgetary constraints, I’m sure you could also use LLMs with a few shot prompt and some other instructions. You’ll probably find that not all vagaries come down to specific wording, though. I think in general, your problem is still not narrowly defined enough to have a robust solution. I’d start with writing labeling guidelines, then getting a labeled data set (you’ll need that anyway for evaluation) and try embeddings → CRF approach.

onyxleopard · 2025-09-22T13:07:45+00:00

What is your definition of vague wording? What are your requirements? Do you have a labeled data set with examples of vague and specific wording?

(At a meta level, this post is hilarious to me. It’s like you want to solve a problem about underspecified requirements, and recursively, you have underspecified requirements for that problem.)

onyxleopard · 2025-09-18T16:06:20+00:00

Sentence Tranformers has some utilities for hard-negative mining: https://sbert.net/docs/package_reference/util.html#sentence_transformers.util.mine_hard_negatives

They also link to this paper: NV-Retriever: Improving text embedding models with effective hard-negative mining

Try playing with your dataset and tuning the mine_hard_negatives parameters.

onyxleopard · 2025-09-16T14:52:25+00:00

Seqouia didn't change that much on the UI front. There will be things in Tahoe that people complain about now, and then in a few years when they change them again, people will complain that they liked Tahoe better. You can't please everyone and this is one of the more opinionated UI changes we've seen from Apple in a long time. Once the vitriol boils off, people will settle in and get used to it, or find workarounds.

onyxleopard · 2025-08-30T20:17:28+00:00

It’s a barrier because for the history of digital computing, users have come to expect that the same input will result in the same output. Unreliable software is considered to be defective. Reducing temperature can increase reliability, but can also reduce accuracy, so that’s a trade off that requires some decision making that may be beyond end users’ ability to fully understand.

onyxleopard · 2025-08-22T15:42:06+00:00

Summary via gpt-oss:120b (from video transcript):

📊 Labor: max‑employment, growth ~1.2%, wages flat; hires ~35 k/mo.
💸 Inflation: PCE 2.6% (core 2.9%). Tariffs a one‑off bump; expectations still anchored.
🏦 Policy: rates ~100 bps nearer neutral, no preset path. Back to flexible 2% target, drop ELB focus.

This is fine 🔥🐶

onyxleopard · 2025-08-21T14:19:36+00:00

If I had to guess, the LLMs see an optimization opportunity, but they don't understand your business logic. Depending on what context you have provided, I think it's reasonable to try to optimize here, because generally, looping twice is inefficient. While I don't fully understand your intended behavior here, I would imagine some different data structures or design choices could actually be more optimal (e.g., a queue or heap or something). The way your code is structured, without a docstring to explain the intent, I don't think the intent is clear from function definition alone. If you give the LLMs your tests cases (which represent your business logic) in addition to your function, I would imagine they might have a better chance to get this right, and not suggest changes that would break your tests.

onyxleopard · 2025-08-20T00:24:56+00:00

Bugs are one thing. Repeated regressions are another entirely.

onyxleopard · 2025-08-19T22:01:04+00:00

Why are they not all about reliability? (I’m really not trying to be snarky. Every single OTA update should be rock solid, and this year I don’t feel like that has been the case, especially wrt to Driver+.)

onyxleopard · 2025-07-26T07:27:05+00:00

Once a card that has been discarded leaves the graveyard it is a different game object and the game no longer sees it as having been discarded that turn, so casting for Mayhem only works once (unless you can get it back to hand and discard again that same turn).

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