BREAKING:
The Netherlands just told its citizens to go to hell.
36% tax on unrealized gains. Approved.
You didn't sell anything.
You didn't make a single euro in cash.
Your portfolio went up on paper.
The government sends you a bill anyway.
61,000 citizens petitioned against it.
Parliament approved it anyway.
No cash to pay the tax? Not their problem.
Asset crashes after you paid? Not their problem.
This is not tax policy.
This is the government treating your paper gains as their income. Before you've made a single euro.
The most talented Dutch investors are already leaving.
Capital goes where it is treated best.
2028 is coming.
Plan accordingly.
There is something magical watching skills being created by `skman` and `plan` meta skills which are part of https://t.co/nf9ura8OLe.
skman - skill manager which writes/validates skills
plan - deterministic plan preparation and execeution
tzip - token zip, pruning tokens
git - common git operations
webfetch - fetching skill with script instead of a tool
websearch - searching skill with script instead of a tool
I think possibly the best thing about Elon Musk becoming a trillionaire is how angry it makes a bunch of losers who've never built a thing in their lives.
Dear US government,
Since you've just blocked Fable and Mythos on critical national security grounds, here are some other tools that pose a similar threat to the American people:
- Microsoft Teams
- SAP
- Salesforce
- Jira
- Outlook
Please do what you must to save America 🇺🇸
JUST IN: Andrej Karpathy, a top AI scientist at Anthropic, is reportedly barred from accessing the company’s most advanced AI model because he is not a U.S. citizen.
Interpreter with very limited syntax and very tiny VM that can bootstrap rest of Python interpreter.
Interpreter is inherently portable and should be able to facilitate/produce parser and compiler.
Most of innovations and experiments should be done in interpreter.
Until Python doesn't compile to machine code directly with zero cost abstractions, we will never have true Python as system-level programming language.
A solution is combining extendable interpreter used during compilation (also other later phases) and compiler (python to IR to machine code).
Interpreter with very limited syntax and very tiny VM. Interpreter could bootstrap python (full) Python parser and rest of VM if needed. tinypy has done something like this.
Main goal of this interpreter is act like bootstrap, macro/type/build/config or even memory management system.
Interpreter can fill gaps between three flavors of typed systems: dynamically (duck) typing, explicitly static typing, and implicitly static typing.
Then we need real compiler (code generator) to machine code, but target can be C or LLVM as well.
If we want this language to succeed as system-level language, no assumptions should be made, and it should as little as possible opinionated.
LPython is solid starting point already.
For similar ideas look at "Links to other available Python compilers": https://t.co/wc41iI9ZSB
Jane Street showed the code that's made them billions, written in a language from 1996 that almost everyone else has abandoned.
Ron Minsky:
"type systems turn out to be a really good tool for catching a surprising number of mistakes"
the whole bet is on the type system. the compiler catches errors before the code even runs.
the Option type forces you to handle the case where a value is missing. a skipped null check that crashes Python in prod simply won't compile in OCaml.
"the compiler essentially forces you to do case analysis"
in trading a single bug costs millions, so the priority is reliability, not speed of development.
33 minutes, and you'll see the code that holds up the billions of one of the most secretive funds on Wall Street.
bookmark it. this is worth more than any $500 vibe-coding course. ↓
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.
GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.
https://t.co/AedZACyzej
As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks.
API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License.
The future of AI is open, and it belongs to the people.
Huge win for open-source / open-weight models. No wonder customers and clients explicitly ban usage of Antrophic, OpenAI, and Google models.
Another thing, small LLMs run locally with amazing performance and quality.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
udocker is one of the best software out there
"udocker is a basic user tool to execute simple docker containers in user space without requiring root privileges"
https://t.co/2btJDUIQzZ
🚨 BREAKING: More than 400 Arch Linux User Repository packages have been compromised with infostealer malware and a rootkit.
Attacker posed as a trusted maintainer and "adopted" orphaned packages.
Arch maintainers are purging infected packages now. Audit your AUR installs.