Now I really feel worried for the first time.
4,450 karma · joined May 21, 2020
In this space, any other company that I respect other than DeepSeek is - that would be Google. They had been honest about it from the get go including their infamous "we have no moat" memo.
This company has enormous data, their own hardware (TPUs) and their own in house experts. Actually, LLMs are invented here.
Good addition to the arsenal.
DeepSeek did full reverse engineering on this.
Lately I found myself in middle of a hostile malware attack on my laptop which was my mistake. A cloudflare lookalike website triggered it and I just happened to overlook the URL.
In panic I headed to Claude and first request was denied. Not looking beyond scope.
Desperate - I fired opencode with DeepSeek v4 Flash (not even 4.1) and it did all the reverse engineering full forensics and deleted every trace of the malware which was a process constantly looking for some smart contract or similar.
So no, GLM 5.3 is fine. Thank you for the free advertisement.
And yeah I have worked with Anthropic and OpenAI models, they're good but they cost a fortune while Chinese models are already really good at a fraction of the cost.
Now this prompt has huge variety of implementation details. Language? PHP/Ruby/Python/Java/Typescript? In each of them then there are tons of frameworks, templating engines, ORMs, database servers, frontend tooling, bundler, frontend framework alone has several dozen candidates from React, Preact, Vue, Svelte and what not.
So if you really know your craft, you'll already be knowing what specific implementation you need so let us not discount the existing expertise here.
Google Play's app registration is so much more complicated now that Good Luck getting to production ever.
And even then the same thing on every update. If you're a small business and your livelihood depends on that then it's a nightmare to deal with.
And no, kicking them out won't be a problem. No sky is going to fall. Vacuum would be filled in very quickly.
Gnome is "done software" already and I like it very much.
PS: I do not know why but opencode pushes CPU usage to very high which has NOT happened with DeepSeek harness even once.
And that all is 0.07 cents all included.
I'm good with DeepSeek v4.1 set to high. It is a relentlessly "hardworking" dirt cheap model.
Told it to convert a products page (that had two different fonts based on language) from two columns layout to 5 columns on desktop and 2 columns on mobile ensuring typography is readable.
My man went into spawning sub agent which failed to drive chrome so it wrote its own chrome driver protocol server in Typescript then generated a prototype website then downloaded the images and rendered each variation in a directory taking 100+ screenshots analyzing the typography depth and then delivering detailed report and then writing the whole thing with new page layout testing it again with several dozen screenshots using its driver and then saying all good and all really was good and whole thing took 25 minutes or so (including double visual validation) because it generates token at an incredible speed.
Total cost of the above? $0.07 cents.
PS: It generates token at such a blazing fast speed that you can't recognize the words as they are being added and can't read it without scrolling and pausing even if you're Jimmy Carter.
And then guaranteed bust of AI bubble. 2000 billion dollars for a single company? That too when bottom of the boat has been drilled by open weight Chinese models that are cheaper and good enough but can even be deployed locally?
In face of all that - that kind of return is not realistic.
However - good gimmick scaring UN asking for a ban on Chinese models perhaps.
So what is the unique idea here except a vibe coded compiler that generates C and everything else is handled by clang+llvm?
From README.md:
>The compiler (not kernel) is 99% AI-written and has not been fully audited yet.
Also, why the compiler is not written against and with LAWS.md so that no audit is required at all?
> - The compiler (not kernel) is 99% AI-written and has not been fully audited yet.
> - Strings are linked lists of characters, so text processing is slow.
Google had this GPT long go and a wise man within Google noted:
"We don't have any maot neither does anyone else."
The AI bubble burst is guaranteed and is only delayed by IPOs.
The 2 trillion dollar ROI on anthropic alone?
Good luck with that.
Decision making isn't that of a bottleneck I suppose.
Side note - just like most people don't need an intelligent personal assistant to manage and respond their emails and book their flights, most people also don't need smart homes. Century old toggle switches are more than enough in a 3 room apartment or 5 room house unless you have a mention.