frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•48s ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•4m ago•0 comments

Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•7m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
1•mitchbob•11m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•13m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•14m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•17m ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•19m ago•1 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•21m ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•21m ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•27m ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•28m ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
6•witnessme•32m ago•1 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•36m ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•38m ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•44m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
6•alephnerd•47m ago•2 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•47m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
2•pbradv•50m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
4•hasheddan•51m ago•0 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•1h ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•1h ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
30•duxup•1h ago•6 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•1h ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•1h ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•1h ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•1h ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•1h ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•1h ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•1h ago•1 comments
Open in hackernews

In addition to Clojure, what other 2 languages are worth learning (2021)

https://clojureverse.org/t/let-us-assume-for-the-sake-of-argument-that-learning-clojure-is-not-the-only-worthwile-persuit-in-life/7339
5•tosh•2w ago

Comments

Zambyte•2w ago
Both are mentioned in the thread, but lately I have been thinking that Zig and Scheme feel like the Yin and Yang of programming languages. Learning both of these languages won't teach you everything there is to know about programming, but it will teach you a complimentary set of foundational information that will make it easy to pick up any other programming language.

You will learn

- programming with manual and automatic memory management

- static typing and dynamic typing

- compile time execution and runtime compilation

- imperative programming and functional programming (neither language enforces imperative or functional programming, but their ecosystems strongly encourage one style or the other)

- errors as values and errors as exceptions

- SIMD programming and programming with the numeric tower

- various concurrency primitives

- what interfaces fundamentally are

- textual code editing vs structural code editing

Probably lots of other complimentary concepts too. But what's also interesting, is that it's completely reasonable for any person to learn the whole language for both of these. I've read both all of the R7RS small paper (which includes the entire definition of the language and the standard library), as well as the entire Zig language reference (which does not include the standard library, but I have also read a large portion of the Zig standard library, sans a lot of the std.os.* syscall wrappers).

It's really hard to think of high level languages that you can't easily pick up after learning these two. Prolog? You can learn logic programming in Scheme before switching over. Fortran? C? You learn most of the interesting concepts required to program in these languages from learning Zig. Erlang? Go? You can learn their concurrency models in Scheme and Zig.

pklausler•2w ago
1) Not all programming languages are imperative.

2) If you want a clean language to use as an entry point into the current state of Fortran, you want Fortran 90, not Zig.

Zambyte•2w ago
1) You missed half of my post

2) Zig will provide foundational knowledge that makes languages like Fortran easy to pick up (which is the other half of my post)

daly•2w ago
Common Lisp. THE most important language to learn. It is all here.

Math. Especially Linear Algebra

APL. Learn the true power of array-like thinking and strong use of symbols.

Assembler. Learn the language machines speak.

Forth. Learn how to program with self-created, minimal tools to create great things.

Bash. Learn how to use the full power of the machine in a terminal.

Emacs Lisp. It's not a language, it is everything you'll ever need.

C. Because it is everywhere, usually as a glue language between systems.

Python. So you can see how badly a language can be designed.

Verilog. Learn to fashion hardware in a language.

LEAN. Write provably-correct software.

HTML. Because you wouldn't be reading this otherwise.

Javascript. Because you occasionally have to make useful web pages.

Java. Because you can do network programming.

X11/Wayland. Because you can reach out and show things.

Regex. Because you can't parse without it.

Erlang. Because things break and you need to survive.

CUDA. Because you need to know how to write kernels.

SNOBOL. Patterns are programs. Programs are patterns. Plus 3 way branching.

Latex. Because you need to communicate to other meat-things.

SQL. Because databases underlie it all

OCAML. Because Type-correctness matters

Lambda Calculus. Because you need to know how it all works in theory.

Haskell. Because you need to learn a real higher level language.

C++. Because you need to see cancer in its raw form

Swift. Because you can make the stone in your hand do things.

Qiskit. Quantum computers are coming

Of course LLMs are going to make all of these languages so rarely spoken that they will be like COBOL. The future of programming is maintenance programming. Legacy systems won't be rewritten, they will be "maintained". If you know what a PROCEDURE DIVISION you'll always have a job.

daly•2w ago
Prolog. Because rule-based programs used to matter.