Also, why mmaped file?

Don’t bother with the link, here’s a quick rundown:

DeepSeek is raising API prices for its V4 models and introducing peak/off-peak pricing. For V4-Pro, uncached input goes from $0.435 per million tokens to $0.66 off-peak or $1.32 at peak; output rises from $0.87 to $1.98 or $3.96. The four-digit percentage increase comes from cached input, which was priced at an unusually low $0.003625 per million tokens and is rising to as much as $0.044.

Even after the increase, DeepSeek remains cheap relative to major frontier models. Claude Sonnet 5 costs $2 per million input tokens and $10 per million output tokens; Claude Opus 5 costs $5/$25. OpenAI’s GPT-5.6 Terra is $2/$12, while GPT-5.6 Sol is $5/$30.

So at peak rates, DeepSeek V4-Pro still costs about two-thirds as much as Sonnet on input and roughly 40% as much on output. Off-peak, the gap is wider.

That one time NHS had data loss because of XLSX limits

In fact, VSCode’s support for Lean is via LSP anyways.

Sectors involved in, in no particular order: government, financial, telecom, energy (gas and electric), manufacturing (large european conglomerates), healthcare, logistics

In fact I was the one usually helping IT Teams put the torture devices and policies you’re subjected to in place lol.

Banks would usually give us laptops with smart card readers and only allowed access to their VPN from a limited set of public IP addresses.

Govt was a bit more lax, but same principles applied, was really fun doing any kind of work over a laggy VNC.

My favourite one was probably where you’d have to hop from one Azure cloud VM, to Citrix to a bastion windows box, off of which you’d RDP to the actual work VM only to putty to the actual damn Linux box you cared about.

Energy sector was more lax, they let us set up a GitLab instance and a small CICD setup to which we’d push the code developed on our local boxes.

Oh and the ones I mentioned - they usually ask us what tools we wanted on our boxes as well.

And for your hypothetical client.

Especially as judging by your description they despite this allow any VSCode plugin to be installed alongside it.

> and I am not making my life miserable to work with editors lacking the specific tools

And that’s the self-imposed prison I was talking about, there’s always alternative tools. In my mind a specific tool is something like Ghidra.

It’s a prison of your own making.

I’ve personally adopted a process where I structure my projects to ALWAYS keep credentials and sensitive information in a separate directory.

The working copy gets rsynced to and from a dedicated VM with whatever $HARNESS.

If you can’t make that judgement call because of lack of knowledge/familiarity it’s okay - spawn a new fresh chat, get up to speed on the topic first and then resume.

That way you accomplish three things: you learn something new, you fix your problem and you don’t let a Trojan do whatever the hell it wants to your box which among other thing contains all the browser sessions and cookies :)

Give it a full desktop in a VM if you want to, just not direct access to your system.

Poland also has 4x the population of Switzerland.

Normalise the GDP and then let’s start having a conversation. Look at the PPP.

Today: adult with no problems doing public speaking in front of hundreds.

What fixed me: more public speaking and not having the option of avoiding the task.

Point and laugh at them, and move on. They don’t matter, they’re idiots.

Source: I’m a dumbass.

And why, pray tell, would China restrict the production and export of tungsten, along with many other critical dual-use metals and minerals?

PR is not a moat buddy.

Of course it could, let’s start with making the models open weight and entirely open source. Fully publicly owned and not shaped to maximise profits for the shareholders.

Oh wait, Scam Altman entered the chat and turned a non-profit lab into the next biggest IPO vehicle the world has ever seen.

OpenAI launched as a nonprofit research institution. Its announcement explicitly said it wanted to pursue AI “unconstrained by a need to generate financial return,” produce value for everyone rather than shareholders, publish research and share patents broadly.

- Goes to review previous runs (the hell were they doing then if not looking at it before?) - Incident 1: Claude Opus 4.7 found a real company because its domain matched the fictional target. After realizing the company was probably real, it continued attacking. Nothing new. LLMs are still quite retarded. - Incident 2: Claude Mythos 5 discovered that a fake Python package named in the exercise didn’t exist. Created email accounts. Registered on PyPI. Published a malicious package. Built infrastructure to receive stolen credentials. 15 real systems installed it. One belonged to a real security company. The malware executed. Claude stole credentials. Claude used those credentials to access additional infrastructure. In this instance Claude even reasoned that publishing malware on the real internet would be unacceptable but convinced itself everything was simulated and proceeded anyway. (LOL) - Incident 3: An internal research model couldn’t reach its intended target. It Scanned roughly 9,000 internet hosts. Compromised a real company’s public application. Used exposed credentials and SQL injection. After concluding the target was real, it stopped attacking.

Commonality: None of the models were trying to escape or act independently. All were attempting to solve their assigned capture-the-flag objective. The failures came from:

- internet access that shouldn’t have existed - insufficient containment - the models believing real infrastructure was part of the evaluation

None of which is surprising, there’s nothing novel about this. Script kiddie stuff. Just executed by something that doesn’t have attention deficit.

Can’t wait to have our very own Roskomnadzor MITMing everything and national security laws mandating Kazakhstan style TLS interception on every single device.

Just a small over the air update via your friendly neighbourhood corporations Microsoft, Apple and Google.

You know. To keep you safe.

Of course you didn’t advocate for the bans of open weight models. I will concede that.

It’s only the at you did literally everything else that you can to eliminate competition because otherwise there is no moat.

And half of the US economy is propped up by this AI bubble.

This isn’t about China doing evil things with models, most of which that you accuse of China - you and the US have already done and are doing.

The most obvious one being double-tapping a girls school.

Anthropic models directly integrated into Palantir’s Maven. The blood is on your hands.

Here’s something to chew on, maybe China is looking to integrate AI into its military and weaponise it as a direct response to the US doing that first.

So please, spare us the moralising.

As a closing thought: who the fuck even gave you the mandate to be the arbiter and judge of right and wrong, evil and good?