Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

DeepSeek V4 Pro 0813

openrouter.ai

Post reply on HN
Print view View original

251–260 of 493 posts

Re: DeepSeek V4 Pro 0813

#251

Post by shimman »

freakynit wrote: post #122
shimman wrote: post #119

Earlier quoted context omitted.

I've always wondered if I was using containers wrong because none of them I've ever had to create were complicated. Maybe it's because I choose tools that make local development easy (Go + sqlite + various CLTs) or maybe it's because I never hard to interact with this on the professional side outside of making images for our projects (which still weren't complicated for the reasons above). LLMs make containers in a p…

This was the repo: https://github.com/amalshaji/portr And this was my gh issue: https://github.com/amalshaji/portr/issues/308 And below was my prompt: """ give me single docker-compose file that i can run on my server to run current project... you can read README.md , and then, this relevant page: https://docs-custom-reverse-proxy.portr-docs.pages.dev/docs/... ... this was the result of me raising github issue: https…

This is definitely beyond my capabilities lol but wow portr is a neat project. Never heard of it before, only the paid services from tailscale/cloudflare.

Re: DeepSeek V4 Pro 0813

#252

Post by HDBaseT »

akman wrote: post #190
Eueudhsbsj32 wrote: post #79

Earlier quoted context omitted.

Unless you're Chinese, why would you care if they see your data? As an American, I'd much rather have my data kept outside the country than here where companies and the government have a lot more leverage over me.

I do think this question comes up a lot-- I can understand why. For some well-explained reasons, check out https://darioamodei.com/essay/the-adolescence-of-technology and search for "CCP".

A blog by Dario of all people. Totally not bias towards non-US models.

Re: DeepSeek V4 Pro 0813

#253

Post by scrlk »

HDBaseT wrote: post #241
hadlock wrote: post #133

Earlier quoted context omitted.

When it comes to quality of outcome, since at least Feburary, the harness has almost equal, if not more weight than the model itself. It's no longer "which model is the best?" it's "which model + harness is the best?" I get drastically different tool call failure rates using Claude SDK vs OpenCode using Qwen 3.6 models

Yeah this is a complete lie. You can use effectively any harness and get good results. Harnesses are mostly placebo.

With Opus 4.7, there's a 10 point improvement in the AA coding agent index when you swap out Claude Code for OpenCode: https://artificialanalysis.ai/agents/coding-agents#harness-c...

To put that in perspective, the difference between GPT-5.6 Sol Max and 5.6 Luna Max is 8 points. That's a lot of extra performance that you can get for free just by using the best harness.

Re: DeepSeek V4 Pro 0813

#254

Post by gigatexal »

Welp gonna give Deepseek more money. This is very cheap indeed. And I’ve been using them and kimi for a bit now not via open router but on my own and have found them on part with sonnet 5 though sonnet 5 these days I think has gotten worse.

At work I had to move to Fable to get decent work results.

Re: DeepSeek V4 Pro 0813

#255

Post by bob1029 »

tanishqkanc wrote: post #192
bob1029 wrote: post #169

Earlier quoted context omitted.

I am seeing essentially deterministic results with Terra running a custom browser automation agent across >100 interaction events. The harness is everything. If I just threw something like Codex at this and said "good luck" I wouldn't make it beyond 5-10 interactions. I tried that already. Carefully designing the views and tools over the environment is where you can go from 50% to 99.9999%.

Curious about what you found. I agree harness for browser automation is vital - I work on https://libretto.sh

Hand-crafted adapters that sit between playwright primitives and the agent loop are the secret sauce. The goal is to insulate the agent from the raw DOM without any loss in fidelity regarding the logical business information and available actions.

Re: DeepSeek V4 Pro 0813

#256

Post by [deleted] »

Foobar8568 wrote: post #147
freakynit wrote: post #129

Earlier quoted context omitted.

Depends on project complexity. For one of my more complex projects, I exclusively use sol-high ... nothing below that works correctly. For this however, a comparatively much simpler task, tarra-high works fine.

Right now, sol-xhigh is my favorite model. I feel that Opus 5 is dumber than 4.8. Fable is too expensive to do anything (limit of $50, started a prompt at $25, ended up at $75, is bullshit, but at least it's "free credits"). DeepSeek is okay for random API-based stuff, as it's cheap. Local open models running on a 5090 are hit or miss. I feel that most GGUFs/quants are awful...

[deleted]

Re: DeepSeek V4 Pro 0813

#257

Post by andreagosto »

Palmik wrote: post #173

Why does this link to OpenRouter, which has no useful information on its own? Linking to the official API or the benchmarks would make more sense: - https://api-docs.deepseek.com/ - https://x.com/ChrisGPT/status/2087572834650407024/photo/1 (officially posted on WeChat, this is just one of many reposts)

[dead]

Re: DeepSeek V4 Pro 0813

#258

Post by Cookingboy »

akman wrote: post #237
vrganj wrote: post #222

Earlier quoted context omitted.

As somebody from neither the US nor China, this argument would be much stronger if the US hadn't started acting like a rogue state - starting wars of aggression and messing up the world's energy supply, actively speeding up climate change, kidnapping leaders of sovereign nations, threatening its allies (!) with invasion, etc etc. The CCP's not great either, sure. But the Americans don't really have a leg to stand on…

As far as AI is concerned, it looks like you will need to pick 1?

Then I pick the country that hasn't been bombing people and starting wars nonstop over the past 40 years.

Hint: It's not the U.S.

Re: DeepSeek V4 Pro 0813

#259

Post by techpression »

gpt5 wrote: post #232
computerex wrote: post #212

Earlier quoted context omitted.

An agent doing a task even with multiple back to back calls like normal without an example is zero shot. An agent doing a task with 1 example is one shot. An agent doing a task with a few examples is few shot. I don't think you are correctly using these terms. The multiple back to back LLM calls are done on accumulating context, so if there is a sampling error it could throw the entire session out of whack, because L…

That's not true. An agent in a loop can test itself, review, verify and iterate as much as needed. That's one of the primary reasons more capable models tend to have a higher success rate. I don't disagree that multiple tests increase confidence, but it's not correct to argue that an agent in a loop harness is equivalent to oneshotting

It takes more than that. I had Claude do a feature, it took five minutes, then I had Claude do a code review of its changes, that took 65(!) separate agents and 40minutes.

I don’t think single agent loops are good enough.

Re: DeepSeek V4 Pro 0813

#260

Post by kees99 »

jklmnopqrstuvw wrote: post #211
bigmadshoe wrote: post #198

Earlier quoted context omitted.

Why are people giving these n=1 comparisons like they mean anything? The worst offender is that pelican guy. These are non-deterministic systems and a single trial should not update your priors much at all. Of course it's significant that your response had a bug and took four times longer, but if you're only going to try once, this isn't real science, it's just vibes.

Months ago I start making this kind of test for my own reference. At beginning I I test each model multiple times, and results always same(pass or fail). Later I test only once for new models, I trust the results.

> multiple times, and results always same

Not my experience at all.

With smaller models, whenever I see a response that is going into wrong direction, I would just redo that step, and more often that not that brings improvement.

This effect is less pronounced with SOTA, but still there.

Post reply on HN