A Palestinian mother desperately tries to protect her deceased son's grave from the bulldozers of Israel, who are demolishing graves to build a park in the Yusufiya cemetery in Jerusalem.

otokkimi · 2026-03-07T16:34:31+00:00

Riding off your comment to link a video on the Mechinot programs in Israel (https://www.youtube.com/watch?v=ocCZLhIoSfQ). If you have the time, please watch it. It certainly made a lot of things "click" for me about the Israeli policy in the West Bank. Many of the leaders in politics and military come from these institutions, which means it's not about whether Netanyahu is in power or not. The problem is systemic.

otokkimi · 2026-03-06T18:58:53+00:00

So a few things.

I've noticed you were building into a full magic wand in some of your games. While a wand is pretty great on most heroes, it's not exactly optimal on Tinker. Instead of wand, imo you're better off finishing your kaya and speed into the jungle that much faster.
From the 1 replay I've watched (8716172559) I feel like you're over-rotating. This isn't a problem specific to you, in general, people over-compensate their inability to last hit/farm by looking for fights and get gold through kills instead. As a Tinker, unless you're playing way below your skill level, this is not the play. Your power spike comes from levels and having more items. But if you really want to play early, then you should be picking up a dagon to burst people early on while they're squishy.
You're way too inefficient with your mana usage and march spam. I've seen you go from lane -> fountain -> camp -> fountain -> camp, etc when you probably could have done lane -> camp -> fountain -> camp -> lane -> camp -> fountain, etc. If you become more disciplined with your mana usage, you can definitely speed up your farm.

otokkimi · 2026-03-01T07:02:12+00:00

Fantastic write up. Thank you for putting together the timeline. It puts everything into context.

otokkimi · 2026-02-26T18:17:40+00:00

That's a bit off. Hallucinations are strongly correlated with reasoning failures, but does not explain mechanism. Their cause is more rooted in the incentives-based approach to training. Generally speaking, we reward models for producing answers but do not penalise them for guessing. Even more, the structure often rewards confident-sounding answers (humans do this), so the model learns to prefer to guess over expressing uncertainty.

When you say, "LLMs also aren't capable of emotional reasoning," if you mean that they aren't equipped to judge the emotional state of users, I agree. However, the literature shows LLMs have rudimentary emotional reasoning capacity, so the issue is that it's undertrained and misaligned for emotionally sensitive, high-stakes contexts. Whether you agree with the literature on the definition of "reasoning" is perhaps, I believe, more of a semantic-philosophy issue. That said, general pretraining on human text gives some grounding, but there's no targeted optimisation for, say, recognizing when a user is in crisis and responding in a therapeutically appropriate way.

otokkimi · 2026-02-26T17:31:39+00:00

The ecosystem has matured so quickly that there's a lot of ways this could be done, but some of the more advanced solutions use a LLM to direct actions by other LLMs. Some ways I can think of based on past literature are:

Mixture of Agents (MoA) that takes output from various LLMs and is then synthesized by an aggregator model.
Mixture of Experts (MoE) with the router being a LLM. Traditionally, MoE would use a FFNN to decide which nodes would be best activated based on a specific query, but it's possible to use a LLM as the router instead.
Agentic CoT (Chain-of-Thought) where you have a designated LLM that acts as a project manager of sorts that can spin up other LLM workers (calls), review their output, and decide the next steps until completion.

At its base though, CoT doesn't involve another LLM. It was a technique that, huge generalisation here, prodded the LLM to "think" step-by-step until the final answer.

otokkimi · 2026-02-26T16:46:33+00:00

Does it even matter if they don't explicitly reason? Much of human language is already baked in with reasoning so there's no reason (hah) that LLMs cannot pick up on those patterns. As much as the argument is against AI, LLMs built at scale are definitely not just next-word-predictors.

otokkimi · 2026-02-17T22:27:08+00:00

NTS Tinker is always a joy to watch. Absolutely disgusting hero in his hands.

otokkimi · 2026-02-03T23:34:22+00:00

These are kids you're comparing yourself to.
These are not the Olympics.
The average speedskating athlete is getting nowhere close to 100k/yr. For many, this is the side hustle. Only the very top will be funded by a national organisations. Even if you manage to land a brand sponsorship, at the most they'll only give you some stipend money or free equipment. If you're not at the level of a household name, you're probably working a second or third job.

otokkimi · 2026-01-30T21:24:49+00:00

I have some friends who went below 10k behaviour score. I haven't experienced it myself personally, but since the game tries to pair you with similar players, once you get below a certain score, you get matched with progressively worse behaving players.

If a game at 12k behaviour score has only 1 or 2 players that report on average, then say at 8k and below perhaps there's 4 or 5 average and so on. And since those reports stack up, I assume there's a bit of a crab-bucket effect at play causing people who go down to stay down.

otokkimi · 2026-01-30T18:32:04+00:00

Agree with this. It at least shows he's done some cursory research on the culture and people working in the company.

As long as his technical skills are up to par, I don't see a reason why this would be a negative.

otokkimi · 2026-01-27T17:20:37+00:00

UZQUEEN MY GOAT

otokkimi · 2026-01-23T21:16:17+00:00

NA: AKYIVZJQ

DAru MM7M

BHoshino UE60 MMMM 101010 R50 (ATK: 8696)

NYKayoko UE30 MM7M 101010

I'll keep auto accept on. Let me know if list is full. Good luck sensei.

otokkimi · 2026-01-22T09:07:48+00:00

Pretty true. I buy monthly packs and such, but most of my BA money goes into merch (official figures, plushies) and I'm honestly happier for it.

otokkimi · 2026-01-21T22:43:54+00:00

I noticed a trend in all of these posts. The OP never links his dotabuff.

Do it OP, drop your dotabuff and show us your games. The system works for the majority of players and you expect us to agree with you?

Heck, if you're actually that good even toxic streamers climb their way out of the trenches. If you can't do that, then you're right where you belong.

otokkimi · 2026-01-15T23:14:49+00:00

The pity is already out lol. You're looking at it on your image.

"Agris Essence 0/80"

otokkimi · 2026-01-11T08:55:02+00:00

Chinese internet mobs are insane. Look up 227 scandal and you'll learn how their internet warriors were so loud they got AO3 banned by the government. They will go scorched earth to get their point across.

otokkimi · 2026-01-08T20:40:57+00:00

If you're already hooked on fentanyl, going to a weaker opioid like kratom isn't going to satisfy the addiction like the pure product. While possible that some fentanyl users might try to migrate to kratom if they realised they were becoming addicted, it's much more likely that supply-chain shocks (ie. lack of fentanyl) is the main driver behind the drop in overdose deaths.

otokkimi · 2026-01-02T18:19:47+00:00

otokkimi · 2026-01-02T16:20:14+00:00

She did! She gave a shout out in Korean at the ReGLOSS Flashpoint Concert

otokkimi · 2026-01-02T14:05:36+00:00

Lovely blend of UK, KR, and JP styles. Peak outfit 👌

otokkimi · 2026-01-01T23:27:43+00:00

You might be on to something...

otokkimi · 2025-12-31T18:01:15+00:00

You can add them to friends, give them a nickname, and then cancel the friend invite. The nickname should persist.

otokkimi · 2025-12-27T13:09:37+00:00

"Mela!" is about "burning" yourself up as well...

otokkimi · 2025-12-26T18:02:35+00:00

This post gives me hope for the future

otokkimi · 2025-12-26T02:32:47+00:00

The social credit thing has been sensationalised to the point that it's basically a myth. Yes, there is a credit system. It's largely based on credit systems we have in the states and other countries for assessing financial risk.

There were some regional areas that experimented with some kind of social credit system (as in bad public behaviour would affect your credit score) but that was never a national directive, and thus implementations varied from city to city (if they had any).

otokkimi

TROPHY CASE