mariopt

That's an interesting angle, that would explain why some bothered to hack fridges and waste food.

This is why the EU will never be a tech powerhouse, the culture is just not there.

Some EU countries even charge you a copyright tax when you buy a smartphone per gigabyte because they just assume that you'll fill every gigabyte with pirated music.

Just old people being old people.

I think it's pretty evident that Artificial Analysis loves to change the benchmark to place US models on the top, it's no the first time either.

The current placement of many models simply doesn't makes sense, GLM 5.3 is so much better than Astra at backend tasks, Astra does the most weird nonsensical bugs.

This is what happens when the benchmark team is funded by VC capital.

Both these models are not bad but you can not trust them to make good decisions. I meant GLM 5.1/5.2/5.3 in the previous answer, not the flash version

Makes sense, GLM is a lot better than DS v4.1, I found the same results in other domains.

Given how fast and cheap DS is, it's just an ideal model with enough "IQ" to let it loose. Another thing they left out of the article, DS becomes really good with if provide custom tools for the task, on it's own it's mediocre.

Could it be people doing Claude/GPT automations and they just can't handle it?

100% SLA

It's only 320B, local frontier AI is getting closer, sooner than expected.

Let's see.... Unemployment, AI Lunatics, forced to use AI, AI Slopping...

Much of joy we got from coding was taken way, I can not even imagine anyone wanting to get back to a coding role to vibe slop all day long.

I even heard from colleagues that presented algorithms better than the AI slop and heard verbatim from their boss: I prefer the AI solution instead of your.

So yeah, AI lunatics are ruining tech

I don't buy it, this is essentially vibe-consulting.

Deal with one customer can be quite a nightmare, and honestly, sometimes using off the shelf solutions can result in saving time and money.

Even today I'm creating SaaS, not every problem is simple to solve. Take a look at CRMs, there are thousands of CRMs due to enormous egos wanting to build "my way", "the way", "the superior way", "our company is not like others (LOL)", etc. At the end of the day it's just a database with CRUDish UI.

My customers pay me to solve their problem well because they can not solve it themselves, when they do they just don't have the time.

Reality check: I have been coding many products with all frontiers models: Still takes a lot of time and, surprise surprise!, money for tokens. Ironically software development became more expensive for serious software that won't vibe-break/vibe-delete-prod/vibe-delete-database.

VibeBilling, love it

They're already feeling the effects of competition.

They try to push the narrative of having the best models but people finally discovered that Chinese models are actually great and a lot cheaper, I don't even think this is a reaction to GPT 5.6

I wonder if you could replicate this in a Colourful GeForce RTX 50-series GPU, they ship it with 2 NVMe drive slots.

So, it's just a matter of time until they destroy this project in favour of their cloud interests. Such a shame, it is (was) a nice open source project.

Nice in theory, in practice I remember having to support Internet Explorer about 4 years ago. Hard to justify the investment sometimes, at least polyfills gave use some sanity back. The only reason to do it was: Rich old enterprise customer who can't install chrome due to policies created by Dinosaurs.

Websites are surprisingly hard to maintain long term, specially for a broad audience of devices. Developer Experience can lead to better UX, the easier it is to build/maintain, the more likely we're to do it.

Given how bad AI is at design plus all the unstoppable slop train, I expect websites to become much, much worse.

Now game devs can optimised their game for it and Steam Machine will get royal treatment. It's not unusual for a PS5 game to run slow on a PC with much better hardware due to not being optimised. The Nintendo switch is a great example, pretty old hardware but the games run well (for their intended experience).

Many people are complaining about the price but you can bring you entire steam game collection and even use as a PC if you want, I sold my PS5 once it became a useless brick cause Sony prevents you from running Linux.

Yep, the website looks vibecoded.

Quite suprised this managed to be on HN first page with a fresh account.

I think the core issue is not AI itself, it's people.

Right now non-tech people just think AI will do anything they want and are the one in charge of hiring/firing, managing, etc. It's horrible to be a software dev right now, you've to deal with AI and lunatics.

Of course Domain Knowledge is important but, right now it's very hard to have reasonable conversation because... you know... AI this, AI that. I had a customer showing me a Claude vibe coded atrocity trying to convince me it's was a great app, now ask yourself: How are devs even supposed to collaborate with this without going insane? Simple, you can't.

I think most people are not understanding what this kind of laptop will provide.

Before we get local AI, we'll be using hybrid AI.

Running big models locally is unrealistic ($$$$$) but, if you imagine an Agentic Workflow where some bits run on the cloud and other smaller tasks locally, it's an amazing deal. You don't need Opus/Code/DeepSeek/Kimi/etc to do basic stuff that models like Gemma4:12b/Qwen-27b can do locally with much less latency.

Having a laptop where I can use a remote big model and combine it with 5 local domain specific models, is something I would love to do today. Imagine using OpenCode and you've a small model deciding which tasks run locally, then decides if you've a good local model for XYZ task or if we use a cloud model.

My main concern is: Is this hardware powerfull enough to allow local quick models switch? Unlikely but I hope I'm wrong

Discovering vulnerabilities is a highly creative task, it's when you explore unsual paths that you discover atttack angles. Some bugs are simple, other are a complex orchestration of many factors.

By "Working with the model", is essentially reading the ouput of prompts and pointing in a direction just to decide the next steps. You could try to increase the prompt limit and create an agent that explores multiples directions in a DFS manner.

The issue with vulnerabilities is the agent not knowing when to stop because it's hard to validade if you reach the final result or not. I get amazing result when I code with AI, letting the AI go wild is just a waste a time and tokens.

I recommend you to read the write up on the crackme (https://crackmes.one/crackme/698f40f1e2ba6023bfacaa82), I think most experience developers would need, at least, 2 months of learning reverse engineering techiques to hopefully crack this one. GLM 5.1 manage to solve it, it didn't "copy pasted" any answer from it's training data. It did a binary analysis, anti debug patching, patching binaries, debugging memory during runtime etc. It only took about 20 minutes.

After seeing what GLM did, I do believe Anthropic concerns about Mythos are real. Cracking software just became a lot easier, too easy for my taste. Video games cheats will be the norm, cracked desktop apps without licenses and infected with malware. It's not a new thing but it just became too easy.

The methodoly used is quite naive.

I've used glm 5.1 on fairly advanced crackme challenges (example: https://crackmes.one/crackme/698f40f1e2ba6023bfacaa82), and to my suprise it was able to patch binaries, doing runtime analysis, bypassing anti debug techniques, etc.

Expecting the model to do everything by itself is unrealistic, I found that working along the modal works really well. I'm not speaking about spoiling the solution, just tell it which direction to explore. Chinese models are much more capable than people give it credit for, but Claude/Codex won the marketing game.

The only usecase of this methodology would be for CI integration, which can be nice but I think security reviews still need human attention and expertise.

I suspect that many of the new cute CLI tools that people are vibecoding will turn into malware given some time.

Seeing this happening in trusted CLI tools makes me wonder what will happen to Linux

I’m using AI to create UIs and I find myself having more time to think about UX rather than CSS. It actually gave me “time” to quickly test design ideas an implement minor details.

I’m actually building better UIs just because it became less time consuming to do so.

There is just a super noisy minority that spams the internet with slop so bad that no one can take their product seriously.

I use opencode with all of them except Kimi, I noticed Kimi performs better with kimi-cli and also save a bit of quota.

Z.ai does recommend to use claude cli as a harness for GLM5.1, I still get good results with opencode.

I’ve been using Kimi 2.6, GLM 5.1 , Minimax 2.7 and lately deepseek. I only spend 40$ a month and I don’t see the point in paying for Opus/Codex.

Chinese models are really quite good at a lot of stuff.

MiMo-V2.5 Series

Input (Cache Hit) Input (Cache Miss) Output mimo-v2.5-pro $0.0036 $0.435 $0.87

mimo-v2.5 $0.0028 $0.14 $0.28

The car front looks ugly to me but, I do remember getting used to car designs that I previously found ugly.

It looks weird/ugly because electric cars no longer need to be longer and have enough space for massive sport engines. Maybe we'll get used to it over time, still I would prefer the front of a Ferrari 458

The interiors look really nice, I'm a fan of the dashboard elements, blending touch with actual physical buttons.

The current level of insanity with AI is off the charts.

Porting to a safe language without the safety features.