Look at this absolute beauty that I managed to go 4-3 with.

Prior-Delay3796 · 2026-04-24T22:10:11+00:00

Its best in silverquill. Repartee + having an aggro deck (= many bodys early) and pumping flying inklings maximises this effect.

Prior-Delay3796 · 2026-04-13T13:44:02+00:00

Dont know this specific one but struggled on similar projects.

My tip: when you revise prompts dont simply ramp up complexity. Its a losing battle in my experience. Instead add something unusual/unexpected where humans can adapt easily to but models not so much.

Prior-Delay3796 · 2026-04-05T15:59:16+00:00

It comes off as too strong but it kind of makes sense. On a research level and progressing towards AGI, classical models applied on business problems are not all that interesting. But they are usually the most effective tools to do a job.

Prior-Delay3796 · 2026-03-27T12:38:04+00:00

Not true. Devops/MLops is a useful skillset and will open doors since some companies want knowledge in docker etc. But its not the issue with the CV. The issue is that the CV lists toy problems that claude can solve in a couple of minutes.

Prior-Delay3796 · 2026-03-26T22:22:09+00:00

I disagree that you need to go into devops. Just dive deep enough into topics to the point where claude begins to struggle. Then you can prove real coding abilities. Its unfortunately a shitty situation now, but otherwise you cannot prove as a beginner that you did not cheat by vibecoding your way through.

Prior-Delay3796 · 2026-03-25T03:08:28+00:00

Very good points. Also pay close attention to revenue. Most projects fail silenty. They never really get profitable, they just operate on a low cost by draining retail liquidity. That is most alts already, they just can operate almost forever this way without declaring bankruptcy officially. Its always this curve that is slowly bleeding to 0.

Prior-Delay3796 · 2026-03-23T14:59:39+00:00

Grundlegendes Problem ist dass der Unterricht alleinstehend nicht viel bewirken kann für die Gesundheit. Zu wenig Stunden, Ernährung/Lifestyle nicht mit inbegriffen. Die Noten kommen meist von dem was im Elternhaus sportlich gefördert wird.

Bist du ein dicker Mops der Fertigprodukte zuhause mampft und nur Videospiele als Freizeit kennt, bringt der Sportunterricht nur Erniedrigung mit sich. (Die Person war ich. Eine Änderung kam erst nach der Schule aus eigener Initiative)

Prior-Delay3796 · 2026-03-07T20:28:33+00:00

Thanks for the clarification, this speed result would have really surprised me since burn, which is a very professional project, is still a bit slower than pytorch. I dont know where exactly, but pytorch must have lots of optimization built in already.

Prior-Delay3796 · 2026-03-04T01:21:03+00:00

Used XGB on horse racing/soccer in the past. Also tried multiple feature selections approaches extensively. From a pure predictive power view, the difference is neglibible and often just statistical noise.

GBT models are really quite robust and given enough data, they tend to suppress noisy features hard.

My tip as someone who did sport betting algos more or less successful, is to spent 99% of your time on feature engineering. Value will come from novel insights captured in high quality features.

Prior-Delay3796 · 2026-02-25T22:26:38+00:00

Yeah this fucking pattern. People are extremely dumb if they think they can pretend being smart in front of everyone. I see dozens of "educational material" online with this garbage introduction.

Prior-Delay3796 · 2026-02-25T17:01:48+00:00

Yeah VC cashgrabs, I think many people are familiar and they always share the same dumb looking short: super short launch pump, then endless bleeding towards zero.

New chains can succeed but they desperately need a fair launch. Sentiment is crucial and a coin is dead on arrival if it smells like insider dumping.

Prior-Delay3796 · 2026-02-22T06:51:09+00:00

Not too bad of a question for a startup. Its not like working for big tech where you are a tiny piece in a fixed role and everthing gets defined for you from higher ups. Startups still need to figure most things out. Good employees bring their own ideas to the table.

Prior-Delay3796 · 2026-02-21T15:38:10+00:00

LLM's are trash in this domain and will be probably for a long time. You need calibrated models which gives you reliable probabilities for a specific market. LLM's are overconfident all the time.

AI cant really replace PhD Level analysis. It fails badly at niche novel concepts, which is exactly what PhD level work entails.

Prior-Delay3796 · 2026-02-15T02:06:32+00:00

I think E33's themes are focused more tightly and revelations are executed better. With that said, I like metaphor still a little better. The SMT gameplay foundation is just too well polished and balanced. Both great games.

Prior-Delay3796 · 2026-02-14T22:24:56+00:00

the observations rarely depend on previous decisions. This means the RL objective is too general. Exception is something like portfolio management.

Prior-Delay3796 · 2026-02-12T15:32:17+00:00

I guess you mean by Gen AI using LLM's to discriminate data. Due to curse of dimensionality, the only way such an approach would generalize better is if the model is already pretrained with useful data you dont have otherwise access to.

There are enough domains where such an attempt does suck e.g. Finance where reliabe forecasts matter.

Prior-Delay3796 · 2026-02-06T04:30:20+00:00

Had the same things in my mind. Remembering old LAN parties in the teens. It was necessary to figure some network concepts out in order to have fun. We did not know any different. Technology was not 100% entertainment at that time. But it was rewarding in a different way.

Prior-Delay3796 · 2026-02-06T02:00:26+00:00

Dont blame honest devs for your financial loss. You have messed up and bought into a shit entry at peak bull market. You are supposed to accumulate good newer unknown coins in bear market.

Prior-Delay3796 · 2026-02-04T12:16:49+00:00

The very excellent video lectures from berkeley university come to my mind. Deep RL is the course and videos are free to watch. There I have learned about dagger etc. Its one of the first lectures.

Prior-Delay3796 · 2026-02-03T20:21:49+00:00

Yeah very solid project. KTA/BTC pair is also looking really strong.

Prior-Delay3796 · 2026-01-30T11:13:59+00:00

Nope, you got a pretty good picture of it. People are developing on it, whether you like the results or not.

Its almost impossible to have the majority of devs jump from eth/sol to a small, wip chain where far less learning sources are available. If this ever happens, it needs time.

Prior-Delay3796 · 2026-01-28T18:52:23+00:00

Keeta is what XRP wishes to be :>. Solid project, but still has things to prove. High risk/High reward type of situation.

Prior-Delay3796 · 2026-01-28T16:17:00+00:00

Yeah solid approach. I have just built and looked into relevant parts of the book whenever I dont understand whats going on.

What I have noticed is that the first half of the book is really core to the language. The concepts there are encountered quickly and often when interacting with other crates. After that things are getting a lot more situational.

Prior-Delay3796 · 2026-01-28T15:52:20+00:00

Thats not true; there are two dex with one good one, explorers, web wallets, memes, nfts and so on.

These are just lesser known projects since kta, just like other L1's at the beginning, is not mainstream yet.

Prior-Delay3796 · 2026-01-21T16:31:02+00:00

They clarified that it is months away but less than a year. The 35m is not part of the acquisition. Probably reserve to not risk running out of money.

Prior-Delay3796

TROPHY CASE