dada216

only if it's enabled at the kernel level? I have this, and it's the defaults, on my RHELs:

sysctl -a | grep net.mptcp.enabled net.mptcp.enabled = 0

and found not MPTCP listeners anywhere, including where I have caddy.

to be fair their storage, and I mean their SANs, is still the best (excluding very expensive alternatives that are only really beating IBM in few limited scenarios).

I still like DB2, but only for banking/finance core stuff, and their mainframes are just unique machines, I'm very fond of them.

the default in RHEL/CoreOS is:

sysctl -a | grep net.mptcp.enabled net.mptcp.enabled = 0

the default on all of my RHEL is to have it disabled, I believe it's the same on Debian based

sysctl -a | grep net.mptcp.enabled net.mptcp.enabled = 0

and golang apps would just gracefully downgrade to non mptcp in that case.

but the opencode go subscription is not, and this fosters the business of all the companies doing inference only

I actually find opencode to be the best harness, and Claude Code to work decently only because they do a lot of RL around the model+the harness itself.

just like with open source the only thing that would give us the certainty to keep getting the weights is if the incentives to do so materialize. how many of the linux kernel contributions and heavy weight opensource projects have important contributions from big business? a lot.

this came to be because the ecosystem around software and the business around it made it so, I believe eventually it will be the same for LLMs.

which kind of works exactly?

there is a huge difference between open models/other models/opus5.5 performance on, say, enterprise CRUD vs one shotting games vs embedded development vs pure algorithmic complex stuff vs cybersecurity stuff.

In my case "real work" is enterprise programming, while side projects are gaming stuff, so I'm better served by chinese open models on real work and opus for non-real work.

In my experience GLM5.3-4 are perfectly en par with opus 5.5 on pure enterprise CRUDs (basically 95% of enterprise programming) while GLM seriously lacks on game development.

the other aspect of real work is cybersecurity to me, and Opus5.5 and other models are very limited by their own safety, I have digital twins of our infra and I want LLMs to actually write full exploits on it, opus and openai just refuse to do it, GLM more than once got it there and showed me how it chained everything to actually break in the system and I could go around and fix stuff at all levels.

I'm also dabbing in training LORAs for smaller open models to do data entry and little more (RAG and the likes of it), because that costs a lot of tokens when you pay for them and it makes sense for a company to flat out buy a server with a few H100/200 to do it when you look at the TCO, I've already hit safety limitations when using Opus5.5 to help me through this.

To me they are not inherently more or less "evil" than other governments. sure they are conducting genocide in Xinjiang, so did we and are still doing in other parts of the world, and it's terrible, I'm not condoning any of it, regardless of who carries it out and where. We also do censorship and spying on our citizens.

When it comes to what is directly connected to the issues around LLMs and the models themselves they are doing what we refuse to do, release the weight, keep releasing the weight (we need to be weary of this part) and build an ecosystem where whoever has the resources to train the models is actually sharing them.

it seems to mirror the old question between closed and open source code, it's the whole ecosystem around it that will determine how things go at the social and economical level, I want the models weights.

I just had a look at the site and screenshots, I usually run my coding agents containerized (one per project), anyone else doing this and wiring it to herdr? is it possible? from a quick glance it seems to me it installs cc/codex/opencode/etc on it's own and just does multiplexing

I grew up without a father. As it happens children choose father figures when that's the case. Capt. Jean-luc Picard was mine. I can't be the only one who did that, that's how powerful that character was.

I have similar hardware and requirements. Spend the time to write a test process to try multiple quantization configs/multiple inference engine and throw at it a bunch of request you can replay and evaluate the results of. We got it down to a process and everytime there's a new model/options/inference engine version we just run the internal bench/eval suite and make a choice.

I think a small business, even a medium sized one, is better served by either renting proper hardware in a cloud or finding an inference provider to sign a contract with.

Yep, one shotting games, UI in general, is where I found them to be lacking, it tracks with my experience. They do get there with guidance, to me the quality in one shotting things is not relevant though and I don't find I tracking quality on long horizon tasks.

I'm on the Pro as well, haven't checked if argon became available on antigravity, will tomorrow, thanks!

I noticed the usage on chat is absymal, but it could very well be that their own harness does a good job in caching and you can squeeze good usage out of it due to this.

How are you coding on the Pro plan without antigravity? Copy/paste?

Although Argon hasn't delivered on coding yet I think that it's just the first checkpoint of the new model family since Hassabis, and I think it's promising, so if they can get a few good checkpoints in and then price gauge anthropic they can get that sweet sweet coding tools subscription revenue. Antigravity is not that bad, pair it with a good model with good limits, ideally slightly cheaper than the X5/x20 sub from Anthropic, and I, for one, would switch.

I have a pro subscription and got Argon about two weeks after the announcement, I'm on the annual plan, got the 30% discount by switching it from monthly. Usage on antigravity is not included, usage via chat is absymally low. It's a good model though.

What kind of coding/tasks? I find all of the main ones, including the Chinese ones, to be basically on par. Enterprise programming (CRUD all the way down, not simple one though, full ERP)

That is not entirely true. The central committee is extremely powerful, but so are the local governments that actually send the representative, the reason the central committee always votes in unanimity is because the discussion happen at the local government level, a local Chinese government may be ruling over hundreds of millions of people.

I'm not saying this is good, I'm merely stating that the central committee power and Xi's power is still limited by the sheer size of the Chinese state. If you compare that dictatorship to the Stalin dictatorship or Gheddafi dictatorship you'll find that Xi does not have that kind of unfettered power through sheer violence, he still needs to make a high number of cogs to work in unison to exercise it.

And AI is the water

The competitive advantages for US companies will not be left on the ground.

Yes, there is an enormous competitive advantage in using open weight models.

I have setup a sistem where I leverage LLMs and agents to replicate scientific papers, cs and related fields, especially ML ones, and that's what I do in the weekends now.

Are we talking companies here?

Somebody still needs to determine what the company system actually look like, that someone is still probably a programmer, it doesn't matter anymore if that programmer is also a good coder.

An accountant will still need a company system that makes sense of the numbers they crunch

I think you guys will go through the same kind of divide that SWE went through. There is a number of SWE and adjacent IT professionals that do enjoy the LLM assisted work, I'm one of those.

There's a number of them that absolutely loathe it.

Your point about biology does not sound fair, an ex of mine worked in the field and that is not at all what she did.

Are you sure we don't see AI operating roles grow? Afaik the SWE roles that are being cutoff are mainly at the companies (faangs) shuffling the investments to GPUs and the rest of the economy (in the US) is not hiring because it's basically in a recession due to other economical reasons. Anedoctiically I see the opposite in my neck of the woods and I have more work than before because of LLM since I basically transitioned to build LLM infrastructure

I think the downvotes are mostly due to the gold thing. it sounds...deranged

49 million people live in Spain. and it's a non industrial economy.

they will raise taxes while cutting the budget. in a multiparty system there are ways to achieve politically unpalatable things. in Italy we have what we call "technical governments", we don't vote for the government, only for parliament, and they elect the government, when nobody has a clear majority they vote for a "compromise" government where they elect a prime minister that is from no party, usually an economist or someone like that, which carries out the politically unpalatable reforms, in France they will do it with a split parliament/presidency