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This is exactly why I would expect RTX 6000 PROs to reach at least $40k within 12 months. Might be wrong.
But so far, never was.
this is Dario and sama's worst nightmare -
A law firm buying Nvidia servers.
Latham & Watkins is building an in-house AI stack..
this is US’s second-largest law firm with $8.3 Billion in revenue last year
And now it has -
- Nvidia hardware it controls
- open-weight models it can fine tune
- proprietary legal data it is trusted to protect
- infrastructure only Latham employees can access
A law firm has decades of contracts, negotiations, client context, legal reasoning, and institutional knowledge.
They dont want to give all of that away to OpenAI or Anthropic in exchange for expensive tokens..
And on top of that - risk their data being used to train frontier models..
This will happen more and more now..
The big AI labs have no moat.. nothing protecting their largest customers from moving on..
The biggest companies in the world will -
- own the compute
- own the data
- own the workflow
- fine tune the model around their business
- switch providers when the pricing or quality changes
Dario and sama want to make this illegal by bringing in regulation.. and become the AI overlords..
True philAnthropists.
I don’t think people realize how selfless and wonderful the StackOverflow’s founders were.
Unlike reddit, x etc they insisted ALL of their content will be 100% open, nothing will ever be locked up in walled garden.
They made it a point by even offering structured data downloads!
They didn’t cared people cloning the website. They didn’t worry about putting the whole monetization thing at risk.
It was a true hacker spirit in it’s purest form.
Most folks won’t be able to grasp how hard this is. You are on top of the world. Millions of people depend on you daily. You have the rarest opportunity to rack in billions. And you still stay true to your principles.
This exactly in turn later enabled AI revolution. I still remember downloading entire SO archives and preparing it for pre-training while Reddit and others went onto lawfare and firewalling the content. Note that this was the content their users - not reddit employees - had created for free and voluntarily to help others and the world. But they locked it all up for profiting from it personally.
SO did none of that. I think they knew they will be sacrificed at the altar. Yet it will exactly serve the intent of their founding principles to help others and the world, now through AI, even at bigger scale.
All of today’s models are built upon efforts of such true pure hackers who spent their days and years to create training data for AIs. I was a proud SO contributer for many years and there are couple of times while testing models I did felt that models might have used my answers 😇.
Hats off to @codinghorror and @spolsky and so many builders and hackers at SO for moving the world forward, one revolution at a time 🫡.
Ginux is the new Minux
The creator of CentOS and Rocky Linux built a new OS kernel with AI in just 11 days.
It’s called Ginux, and it can already run selected Linux programs without the Linux kernel underneath.
Gregory Kurtzer guided the design while Codex wrote and tested around 139,000 lines of code.
Written mainly in Rust, Ginux has its own memory management, scheduler and networking. It even boots Rocky Linux 10 with systemd in a virtual machine.
It’s still an experimental prototype, with incomplete compatibility and hardware support. The code is open source under Apache 2.0.
Eleven days to get this far. Now comes the harder part of making it reliable.
Source: github.com/gmkurtzer/ginux
In Ference we trust.
for anyone starting in local ai, the first thing you do is buy hardware and install ollama or lm studio without thinking about what powers it underneath and what actually runs it
the first instinct should be learning the stack, use them but transition to the layer beneath with llama.cpp and try to understand it, then keep buying gpus, move to vllm and unlock your tp=
do not settle there, even try to tweak the model and use mtp and all to speed it up, and try kernels along the way
once you understand inference from the foundational level you will never have to worry about getting a job ever again
learn inference
This will sell for more than $100M in 2030. Think of the multimillion NFT sales & guess if this is worth more or less than them.
I don't think people realize just how crazy this is getting.
We've reached a point where one person with AI
..can build things that used to require an entire team, months of work, and hundreds of thousands of dollars.
And it's only getting faster.
Here's why I think Three.js will win:
Game engines have been around for decades.
Game development and simulations have relied on them for their tooling.
Three.js keeps improving, catching up with the visual quality of game engines. Except everything runs directly in your browser, desktop or mobile, nothing to install.
And now AI has flattened the learning curve.
People don't need years of technical knowledge to build something impressive. Those who already have game dev or creative web experience can move even faster.
What used to take months or years can now take days, sometimes just hours.
I once worked on a large-scale interactive project that involved an entire team and nearly a year of development (used Unity back then), yet the final result had less visual richness and interactivity than what Threejs + AI can achieve today.
And that still blows my mind.
meanwhile, people are still debating whether AI produces slop, or whether they should reject it.
But AI is already one of the best tools to get complex things done, at a fraction of the time and cost.
of course, there will always be a market for specialized engines and tooling. But for most interactive experiences, the time and cost to build have dropped dramatically.
With browser-native distribution, open-source tooling, and no engine licensing fees, Three.js adoption is already exploding.
And I think we're barely scratching the surface.
What's coming next is going to be massive.
...
just my $0.02.
I rarely ramble this much, so if you actually read all of this, thank you 😂
Here's an example of what one person can build in just a few days.
And check out sael.net to see everything I've built so far in just a single month
it's over
‼️ Anthropic and Google researchers found a flaw that lets one crafted packet hijack a server during network boot, before Secure Boot checks the OS.
Almost all servers on earth are affected.
CVE-2026-97631 sits in TianoCore EDK II, code in the UEFI firmware of most servers.
Readers added context they thought people might want to know
The vulnerability is limited to servers actively PXE network-booting with vulnerable EDK II firmware; most servers boot from local disks and are unaffected in normal use, with Intel noting limited impact on supported products.
github.com/tianocore/edk2…
arstechnica.com/security/2026/…
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just collected this 1/1 by @elraart, “Golden Bridge Blue Memory”
a huge thank you to @bull_genius for facilitating the sale! 🤍🌉
