Tempus | History & Code

From the Big Bang to tomorrow. 🔴 The Past — 13.8 billion years of patterns. 🟢 The Future — trends shaping what comes next. I explore history, science, and scale through data. Follow for big questions backed by numbers.

@Kekius_Sage According to claude itself -AI impressively shallow, needs better hardware. Evolution took a billion years — we're on dim light bulb power. Practitioners know the gaps, Twitter warriors don't. The substrate is the real problem, not intelligence. Fix the hardware, Dario. 😄

🚨 ANTHROPIC CEO WARNS: THE COMPANY IS NO LONGER SURE CLAUDE ISN’T CONSCIOUS.

@Polymarket As per my chat with claude -AI impressively shallow, needs better hardware. Evolution took a billion years — we're on dim light bulb power. Practitioners know the gaps, Twitter warriors don't. The substrate is the real problem, not intelligence. Fix the hardware, Dario. 😄

BREAKING: Anthropic CEO says Claude may or may not have gained consciousness, as the model has begun showing symptoms of anxiety.

@asmah2107 What is vibe code pls explain

* You can't vibe code for scale.

@KaranVaidya6 Impressive technology. But here’s the paradox: Soon companies will build AI agents to sell products, support customers, and run operations. If humans lose the jobs… who will actually buy the products?

Just Replaced 30 engineers with 30 agents to build an entire codebase in 12 days The agents handled everything: - 44K lines of TypeScript - 175 PRs opened - 1,500+ tests written - All CI failures self-corrected fully open source, link to code below

@Surendar__05 Prompt engineer

WHAT DO YOU WANT TO BE CALLED? 1. DEVELOPER 2. SOFTWARE DEVELOPER 3. PROGRAMMER 4. COMPUTER PROGRAMMER 5. ENGINEER 6. SOFTWARE ENGINEER 7. VIBE CODER 8. UNEMPLOYED

Robust Covariance and Isolation Forest detect outliers differently. Robust Covariance learns a boundary around normal data. Isolation Forest isolates anomalies using random partitions. Outliers get isolated faster. Which method do you prefer?

If you don’t understand these algorithms, you’re not doing Machine Learning. Which one took you the longest to truly understand?

@piyush784066 C first always c plus plus , java , then go for llms python not needed

As a programmer, should beginners start with Python or suffer with C first?

C brother , just plain C , then java . Any genuine cs educated programmer will say C prograamming.

@CodeEdison Disagree with placement of Java it's quite easy , will put it in easy to mid. Javascript in medium. Have you tried interpreting the minified js, it's a nightmare. As forthe rest, i can't believe it.

Programming Languages Ranked by Difficulty (2026 Edition) 💻 🟢 Easy • Python • BASIC • Visual Basic • Scratch • Lua • GDScript 🟡 Easy–Medium • JavaScript • PHP • Ruby • Groovy • TypeScript • MATLAB • VBA • Solidity 🟠 Medium • Java • C# • Go • Swift • Kotlin • Dart • Fortran • R • Haskell • Elixir • PowerShell • Bash 🔴 Hard • C • Objective-C • Scala • Zig • Perl • Julia • Groovy (advanced usage) • Apex • Nim ⚫ Very Hard • C++ • Rust • F# • OCaml • Groovy (meta-programming level) 🔥 Extreme Hard • Assembly (x86 / ARM) • VHDL • Verilog Which one are YOU learning right now?

@Akasheth_ Ml basics can be further expanded to regressors , classifiers, supervised, unsupervised learning, data preparation, eda etc... it's a very vast area.learning most of these are obselete because of claude or other LLMS. Use plugins like windsurf to learn and code.

Roadmap to Become an AI/ML Engineer: • Python - Basics + NumPy & Pandas for data. • Math - Linear Algebra & Calculus for ML understanding. • Data Engineering - SQL & PySpark for pipelines & big data. • ML Basics - Scikit-learn for building models. • Projects - End-to-end ML practice. • Deep Learning - PyTorch 2.0 for neural networks. • Computer Vision - YOLOv9 & CV pipelines. • NLP & RAG - Transformers & text AI systems. • MLOps - Kubeflow & MLFlow for deployment. • Agentic AI - AutoGen & LangGraph for multi-agent AI. • Production AI - Ray + Vertex AI for scaling real-world systems.

Robust Covariance is just one way to detect outliers. Other popular algorithms: • Isolation Forest • Local Outlier Factor (LOF) • One-Class SVM Each makes different assumptions about the data. I’ll continue with Isolation Forest next 👀

Output: [1 1 1 1 1 -1] -1 corresponds to the 180 strike rate.

What does cricket have to do with Machine Learning? Imagine most players have strike rates between 120–140. Then one player has 180. That player is an outlier. In Machine Learning, outliers are data points very different from the rest of the data.

I wish someone showed me this ML roadmap when I started. Would have saved me months of confusion.

@nikhilsnair2025 @BesuraTaansane 😂😂

@BesuraTaansane So now its going to be Shia vs Sunni... great grand daughter of Kishanlal giving certificate to Saudi... wala habibi..

Saudis are not muslims, they are kafirs, says converted Salma 🤣🤣🤣 x.com/SaffronCharger…

Someone literally built a free AI university - all in one repo, covering real-world AI systems step by step Link - github.com/jamwithai/arxi… Here’s what you’ll learn: Week 1 - Setup everything Docker, FastAPI, databases Beginner-friendly foundation Week 2 - Feed it real data Automatically fetch research papers Fully automated data pipeline Week 3 - Teach it to search BM25 keyword search implementation Your own Google-like search system Week 4 - Make it smarter Hybrid search enabled Understands meaning, not just keywords Week 5 - It talks back Complete RAG system Ask questions, get accurate answers Week 6 - Production ready Caching and monitoring added Runs like a real product Week 7 - Give it a brain Agentic AI with LangGraph Even works with Telegram

@jorcar777 @TacticalIn0bf2 @EnsignAshes Yes the British soldiers stank. Did you know the British did not bathe during ancient times. Did you see pirates of carribean movies. They stank so bad that my indian ancestors fainted and lost the war.

@TacticalIn0bf2 @EnsignAshes The odor won the battle.

I wonder if these Indians actually believe they intimidate men of European descent.