allisdust · HackerTrans

3 か月前議論

I cannot provide the session ids but I have tried the above flag and can confirm this makes a huge amount of difference. You should treat this as bug and make this as the default behavior. Clearly the adaptive thinking is making the model plain stupid and useless. It is time you guys take this seriously and stop messing with the performance with every damn release.

allisdust

5 か月前議論

Normal codex it self is sub par compared to opus. This might be even worse

allisdust

5 か月前議論

In case its not clear, the vehicle might be the agent/bot but the whole thing is heavily drafted by its owner.

This is a well known behavior by OpenClown's owners where they project themselves through their agents and hide behind their masks.

More than half the posts on moltbook are just their owners ghost writing for their agents.

This is the new cult of owners hurting real humans hiding behind their agentic masks. The account behind this bot should be blocked across github.

allisdust

5 か月前議論

Laugh all you want but this is the future

I'm surprised it didn't happen earlier

https://marshallbrain.com/manna1

allisdust

6 か月前議論

You need to perturb the token distribution by overlaying multiple passes. Any strategy that does this would work.

allisdust

7 か月前議論

Another anecdote/datapoint. Same experience. It seem to mask a lot of bad model issues by not talking much and overthinking stuff. The experience turns sour the more one works with it.

And yes +1 for opus. Anthropic delivered a winner after fucking up the previous opus 4.1 release.

allisdust

7 か月前議論

Please consider donating this to the Linux Foundation so they can drive this inspiring innovation forward.

allisdust

7 か月前議論

This seem to woosh right over everyone's heads :)

allisdust

7 か月前議論

I guess most of the articles it generated are snarky first and prediction next. Like google cancelling gemini cloud, Tailscale for space, Nia W36 being very similar to recent launch etc.

allisdust

7 か月前議論

For every negative comment, there are 100s of positive comments that never get made.

I have spent close to 2 hours on your extremely info dense article and loved every bit of it.

Looking forward for the next one.

allisdust

7 か月前議論

You mean Vista. Windows 7 was perfect. Till it was ruined by what shall not be named.

allisdust

7 か月前議論

Casually throw 1.5 billion Indians under the bus. Along with antisemitism and conspiracies

HN does need a flag comment button

allisdust

8 か月前議論

There was barely any hostility and all the comments even remotely critical are downvoted to oblivion

What is the point of posting here if anything critical is just a downvoted down

I thought these posts are for feedback

allisdust

8 か月前議論

Sadly most people don't agree with this

I have been seeing hatred on this forum towards Rust since long time. Initially it didn't make any kind of sense. Only after actually trying to learn it did I understand the backlash.

It actually is so difficult, that most people might never be able to be proficient in it. Even if they tried. Especially coming from the world of memory managed languages. This creates push back against any and every use, promotion of Rust. The unknown fear seem to be that they will be left behind if it takes off.

I completed my battles with Rust. I don't even use it anymore (because of lack of opportunities). But I love Rust. It is here to stay and expand. Thanks to the LLMs and the demand for verifiability.

allisdust

9 か月前議論

It is a double blind study. what else do you want for confirmation ?

allisdust

9 か月前議論

This sounds very interesting and fair. How does it address the needs of the people who create value. For example some one who might invent a transistor equivalent ? or even someone who wants to work on something that might eventually produce a social good like a new antibiotic. And how do we evaluate the resources going into that vs lets say build a Eiffel tower

allisdust

9 か月前議論

Nothing (may be except groq ?) comes even close to Cerebras in inference speed. I seriously don't get why these guys aren't more popular. The difference in using them as a inference provider vs anything else for any use case is like night and day. I hope more inference providers focus on speed. And this is where AMZN will benefit a lot since their entire cloud model is to have something people would anyway want and mark it up by 3x. God forbid if AVGO acquires this.

allisdust

9 か月前議論

If the idiots at AMZN have any brains left, they would acquire this and make it the center of their inference offerings. But considering how lackluster their performance and strategy as a company has been off late, I doubt that.

Disappointed quite a bit with this fund raise. They were expected to IPO this year and give us poor retail investors a chance at investing in them.

allisdust

10 か月前議論

As usual the comments here are very negative on anything and everything AI. This will definitely have appeal for normal users outside of HN bubble. This is also why Google is in a unique position to be able to really capitalize on AI: they already have users that they can ship to vs the next YC startup being able to hit critical mass.

allisdust

10 か月前議論

it has been quite impressive so far. It makes very less number of mistakes.

Cons: Context size if less so compaction happens frequently. Interesting bit is that the compaction doesn't seem to affect it as much as the Claude models. So I don't have to continuously look at the context size. Also it doesn't seem to lose the coherence even when nearing like 1% of the context.

コメント