Indonesian President Prabowo’s $15B FREE school meals program is causing budget strain.
If that's not bad enough, it's been the source of food poisoning and corruption.
PRABOWO IS LOSING FISCAL CONTROL. THAT IS CREATING A CONFIDENCE PROBLEM AND A SINKING RUPIAH.
Kita lg menyaksikan sejarah (proyek korup sistematis paling besar di sejarah Indonesia)
Ak ingat dulu pas korupsi e-ktp yg 2 triliun. It truly feels VERY big and massive. Tapi sekarang? 1,5 hari MBG 😂
Open-source, self-hosted Arduino, Raspberry Pi, and ESP32 simulator.
https://t.co/8w5RClkdYp
Like the Wokwi project, Velxio simulates popular development boards right in your web browser. But the difference is that the open-source project can be self-hosted, running on your own machine.
The project currently supports 19 boards and 48 components. Other highlights include support for multiple boards (e.g., Arduino connected to ESP32) and full QEMU emulation support for ESP32 and Raspberry Pi 3 (Linux).
Happy World Philosophy Day!
There are numerous ways to build your mindset, but none are as profound as reading philosophy books. It gives us opportunity to understand our own thinking and behavior at a deeper level.
Few essential philosophy books that will expand your mind:
How to set up Claude so it never forgets you:
Prompts → Projects → Skills (explained in 3 mins)
Prompts = telling a stranger your job every morning.
Projects = giving a new hire a binder on day one.
Skills = training an employee once. For forever.
Step 1: Start with a Prompt (but don't stay there)
✦ Open Claude. Type your task. Get an answer.
✦ It works. But tomorrow? Claude forgot everything.
✦ You re-explain. Again. Every. Single. Chat.
✦ That's Level 1. Most people never leave it.
Step 2: Move to a Project
✦ Go to Claude .ai → Create a Project.
✦ Upload your voice file. Upload your instructions.
✦ Now every chat inside that Project knows you.
✦ Your context, style, and tone stick.
But you still have to open the right Project.
You still have to say "read my file first."
Step 3: Graduate to Skills
✦ Open Claude Cowork.
✦ Select Opus 4.6 + Extended Thinking.
✦ Prompt: "Use the skill-creator to help me build a skill for [your most repeated task]."
Claude interviews you. Answer extensively.
"I write reports" is useless.
"I write weekly reports that start with the headline metric, 3 sections max, next steps as bullets" is a Skill.
The specificity is the skill.
Step 4: Install and test
✦ Save the Skill folder.
✦ Go to Settings → Capabilities → Skills → Upload.
✦ Open a new chat. Type your task normally.
✦ The Skill fires on its own. No slash command.
✦ Claude just knows.
I just wrote my full Claude Skills breakdown. It covers setup, the skill-creator walkthrough, and the 7 hacks I found buried in Anthropic's docs.
Read it here: https://t.co/jT4uB5AFtY
To download all of my Claude infographics:
Step 1. Go to https://t.co/psB7XxAv8w.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email (most skip this).
Step 4. Hit the automatic reply button inside.
Step 5. Download my infographics from my Notion.
♻️ Repost this to help someone on your team stop re-explaining themselves to Claude every morning.
Another blow to Anthropic!
Devs built a free and better Claude alternative that:
- runs locally
- works with any LLM
- beats it on deep research
- has Cowork-like capabilities
- connects to 40+ data sources
- self-hosts via Docker, and more.
100% open-source (20k+ stars).
Solo dev reverse-engineered Google's billion-dollar algorithm in 7 days
Google published the paper that crashed memory stocks worldwide. Then shipped zero code.
Tom Turney read the math, opened his terminal, and built the whole thing with Claude - then made it faster than Google promised.
Day 1-3: Core algorithms, 141 tests, Python prototype
Day 3-5: C port into llama.cpp, Metal GPU kernels
Day 5-7: Speed optimization from 739 to 2747 tok/s
That's a 3.7x speedup through pure engineering:
> fp32 → fp16 WHT
> half4 vectorized butterfly ops
> graph-side rotation
> block-32 storage layout
Then he added his own research on top:
> Sparse V: skip 90% of value decompressions at long context
> Asymmetric K/V: keep keys precise, compress values harder
> Temporal decay: old tokens get lower precision automatically
Result: 35B model running on a MacBook with 4.6x compressed cache.
613 GitHub stars in a week. Google still hasn't released their own code.