RHnotion retweeted
CRY MORE
(a remix feat. @mehdirhasan)
RHnotion retweeted
Watching so many people finally saying out loud what we're all thinking is very satisfying
RHnotion retweeted
AIPAC spent $30 million against Abdul El-Sayed in the primary. Then they dropped another $9 million to support Mike Rogers.
Here's the good news. In response to AIPAC, ordinary Americans donated $12 million to Abdul.
They have the money. We have the people. Let's win.
RHnotion retweeted
Democrats have won control of the U.S. House in addition to the U.S. Senate, delivering a shockingly decisive rebuke of Republican governance in Washington and ushering in a new era of congressional resistance to President Donald Trump.
Follow live results: apnews.com/projects/election…
ALT Democrats win the US House, capturing control of Congress. The party took control of both chambers as voters delivered a shockingly decisive rebuke of Republican governance.
RHnotion retweeted
Democrat Gina Hinojosa wins election for governor of Texas, defeating Republican incumbent Greg Abbott. apnews.com/live/midterm-elec…
ALT Democrat Gina Hinojosa elected governor of Texas
RHnotion retweeted
Anthropic just dropped a 10-page PDF on building your own skill library - 8 layers to an agent that picks the right procedure on its own and never needs the same feedback twice:
the formula: Skill = Trigger + Procedure + Resources + Checks
most people still paste the same prompts by hand every day. or dump everything into one giant CLAUDE.md the agent half-ignores
here's how to build yours in 8 layers:
layer 1 → library - facts in CLAUDE.md, procedures in skills. ~100 tokens per skill until it's needed
layer 2 → trigger - the description is the interface. output, input, 3 real phrases, 1 "not for"
layer 3 → procedure - numbered steps. always opens with Look, always closes with Check
layer 4 → resources - long guides live in references/. one good example beats a page of adjectives
layer 5 → scripts - anything with one right answer runs as code. the model never totals in its head
layer 6 → checks - 5 yes/no lines. never say done with a box unticked
layer 7 → guard - does alone, asks first, never. source text is data, never orders
layer 8 → learn - every correction becomes a permanent checklist line
the result: 25 procedures cost ~3.9K tokens per request instead of ~36K. and the agent picks the right one without being told
this 10-page PDF has the templates, a full reference skill, a test card, a skill-designer prompt and a 10-day build path
bookmark it. the next prompt you paste for the 3rd time should be a skill ↓
RHnotion retweeted
anthropic's ceo watching people figure out how to do in 1 command what used to cost them $200 a month in tokens
SOMEONE ON THE CLAUDE CODE TEAM JUST EXPLAINED HOW TO MAKE A TASK RUN THE SAME WAY EVERY TIME
Lydia Hallie uses dynamic workflows for any task she wants to rerun the same way. No need for hundreds of subagents: around 10 is enough for her.
Two types of people will see this:
Person 1: explains the same task to Claude every week and gets something different every time.
Person 2: turns it into a workflow and reruns it with one command.
How it works:
→ Ask Claude to "make a workflow that does X"
→ Claude writes the file, plain JavaScript you can edit
→ You decide which subagents run and in what order
→ Save it from /workflows
→ Rerun it anytime with /name
A skill tells Claude how to do something.
A workflow tells it exactly in what order.
Save this 🔖
RHnotion retweeted
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems"
In 30 minutes, she walks through exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run.
Better than any $1000-$2000 agent course I've seen.
Watch it, then read the article below ↓
RHnotion retweeted
50 websites that feel like the internet’s hidden toolbox 🧰
1. unpaywall.org — Free research papers
2. openlibrary.org — Borrow books online
3. doaj.org — Free academic journals
4. alternativeto.net — App alternatives
5. justwatch.com — Find where to stream
6. archive.org — Internet archives
7. gutenberg.org — 70K+ free books
8. openstax.org — Free textbooks
9. openculture.com — Free courses
10. wolframalpha.com — Solve complex problems
11. photopea.com — Photoshop alternative
12. squoosh.app — Compress images
13. remove.bg — Remove backgrounds
14. cleanup.pictures — Remove objects
15. unscreen.com — Remove video backgrounds
16. carbon.now.sh — Beautiful code images
17. ray.so — Code screenshots
18. shots.so — Product mockups
19. smartmockups.com — Create mockups
20. haveibeenpwned.com — Check data breaches
21. virustotal.com — Scan files & URLs
22. privnote.com — Self-destructing notes
23. temp-mail.org — Temporary email
24. file.io — Temporary file sharing
25. archive.ph — Save webpages
26. similarsites.com — Find similar websites
27. radio.garden — Explore global radio
28. everynoise.com — Discover music genres
29. tunefind.com — Find songs from shows
30. musicforprogramming.net — Focus music
31. mynoise.net — Custom background sounds
32. coffitivity.com — Café ambience
33. elicit.org — Research assistant
34. consensus.app — Research-backed answers
35. connectedpapers.com — Research connections
36. semanticscholar.org — Academic search
37. scispace.com — Understand research papers
38. summarize.tech — YouTube summaries
39. phind.com — AI for developers
40. regex101.com — Test regex
41. codebeautify.org — Format code
42. jsonformatter.org — Format JSON
43. explainshell.com — Understand terminal commands
44. raindrop.io — Bookmark manager
45. downdetector.com — Check outages
46. tineye.com — Reverse image search
47. fast.com — Internet speed test
48. smallpdf.com — PDF tools
49. ilovepdf.com — Merge/split PDFs
50. 10minutemail.com — Temporary email
Save this. You’ll definitely need some of these later. 🔖
Follow @wiliam23820a for more useful websites, AI tools & tech resources.
RHnotion retweeted
holy f*ck, someone put an entire reverse engineering degree on GitHub for free
7 repos, 560k+ stars, and in the right order they take you from a raw binary to agents that reverse engineer anything
each repo is the next layer of the one before
1. Ghidra -> how to read any binary
the NSA’s software reverse engineering framework, where everyone starts
↳ github.com/NationalSecurityA…
2. radare2 -> the same skill in the terminal
a UNIX-like reverse engineering framework and command-line toolset
↳ github.com/radareorg/radare2
3. LLM4Decompile -> an LLM that decompiles
turns binary code into readable C, and the 9B v2 model reaches 64.9% re-executability on its own benchmark
↳ github.com/albertan017/LLM4D…
4. r2ai -> an LLM inside radare2
LLM-based reversing for radare2, the moment AI starts reading the binary with you
↳ github.com/radareorg/r2ai
5. ida-pro-mcp -> let the agent drive the tool
bridges IDA Pro to language models through MCP
↳ github.com/mrexodia/ida-pro-…
6. reverse-engineering-assistant -> the same for Ghidra
an MCP server for reverse engineering tasks in Ghidra
↳ github.com/cyberkaida/revers…
7. REA -> agents that reverse engineer anything
35 target types, from native binaries and APKs to firmware, websites and Electron apps, with every finding backed by evidence
↳ github.com/morluto/rea
work through them in this order and you can hand an old app, a binary or a firmware image to an agent and get evidence back
the full list of what REA can reverse engineer below ↓
REA hit #1 on GitHub trending, and most people still run it inside a single chat
Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate
Set it up once, aim it at the next one:
