I think it is really worth reading this piece on RSI at Anthropic.
There is a bit of navel-gazing, some marketing, and a lot of very sincere beliefs about what Anthropic thinks is likely in the near future of AI that you probably want to be aware of. https://t.co/A5yxryBjHv
BREAKING: Bitcoin collapses below $68,000 after President Trump threatens to "obliterate" Iran's power plants.
Just 24 hours ago, President Trump said he was considering "winding down" the Iran War.
Ahhhh, Codex 5.3 (xhigh) with a vague prompt just solved a bug that I and others have been struggling to fix for over 6 months. Other reasoning levels with Codex failed, Opus 4.6 failed. Cost $4.14 and 45 minutes. Full trace plus includes original issue: https://t.co/DbBACN2HLj
I know this prompt is relatively bad. Honestly, our stable release is in a week, and I was throwing some Hail Marys at the frontier models to see if I could get a clean, understandable fix for some of these bugs. By using `gh`, it grabs much better context from the issue, so its not terrible.
The best thing that Codex did was eventually start reading GTK4 source code. That's where I ended up (see my GH issue), and I knew the answer was somewhere in there, but I didn't have the time or motivation to do it myself. The other models never went there, and lower reasoning efforts with 5.3 didn't go there either. Only xhigh went there. I think that was a critical difference.
The final fix was decent. It was small, all in a single file, and very understandable. It had one bug I identified (you can see in the trace), and then I manually cleaned up some style. But, it did a great job.
Definitely an "it's so over" moment. But at the same time, it feels amazing because now our next stable release will have this fix and I was able to spend the time working on other fixes as it went.
Regular exercise is linked to slower biological aging - but only in people sleeping 7+ hours.
People who slept under 6 hours and exercised actually aged faster.
"A study published this month by the National Bureau of Economic Research found that among 6,000 CEOs, chief financial officers, and other executives from firms who responded to various business outlook surveys in the U.S., U.K., Germany, and Australia, the vast majority see little impact from AI on their operations," per FORTUNE
🚨BREAKING: Anthropic just dropped free courses to master AI with certificates.
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Here're 10 courses that will replace a $50K degree👇
this right here is the reason China stays quiet on Iran
everyone losing their mind asking where is Beijing while the US & Israel are bombing a major chinese energy partner and the answer is so brutal in its simplicity that most analysts miss it completely, the empire is eating itself alive and China is already building the replacementt
America just dragged the entire Middle East into a war for Israel & now Saudi arabia, UAE, kuwait & qatar are sitting in a room discussing pulling out of US contracts & canceling investment commitments
the Gulf states, the literal foundation of the petrodollar, the system that has kept the US dollar as world reserve currency since 1974 actively discussing the exit and Beijing did absolutely nothing to make that happen…Washington did it to itself
but here's what people miss: china saw this coming years ago and already laid the tracks, literally the belt & road Initiative has quietly wired 150 countries into c’hinese infrastructure, ports, railways, highways, fiber optic cables, power grids…while the western media barely covered it
Saudi Arabia started selling oil to China in yuan in 2023, that alone should have been front page news for a month, the BRICS just expanded to include Saudi arabia UAE and Iran in the samea bloc, China built CIPS as a direct alternative to SWIFT so the entire non western world can settle trade without ever touching the dollar, every single one of these moves was made before a single bomb fell on Iran
and then there's Africa…the youngest continent on earth, median age 19, projected to reach 2.5 billion people by 2050, the largest workforce the planet has ever seen & China understood 20y ago that whoever builds Africa's infrastructure owns the 21st century, while the US was spending 4 trillion dollars destroying Iraq & Afghanistan China was building railways in Kenya, dams in Ethiopia, ports in Djibouti, highways in Nigeria, tech hubs in Rwanda, stadiums, hospitals, government buildings, telecom networks powered by Huawei across the entire continent.. & they did it without firing a single bullet, no regime change, no sanctions, no lectures on democracy, just concrete steel, fiber optic and longterm contracts
so when people ask why China stays silent on Iran the answer is that silence is the strategy, every war America fights for Israel costs trillions, destabilizes energy markets, alienates Gulf partners and pushes the entire Global South closer to a system Beijing spent two decades building
the gulf states pivoting right now has zero to do with ideology, Washington turned their entire neighborhood into a warzone to serve Tel Aviv's regional strategy & then asked them to keep buying treasury bonds with a straight face….the math just stopped working and when the math stops working loyalty stops too
beijing's silencee on Iran is the most patient & most devastating move on the board, China is watching america dismantle its own hegemony in real time while quietly inheriting every alliance washington burns, it just has to keep building & keep quiet
Napoleon said nver interrupt your enemy when he is making a mistake, Xi turned that into a 50y doctrine & right now it's paying off faster than even beijing expected
Most people treat Claude Code like a smarter chat window.
That works… until your project grows.
This structure highlights something deeper: once you move beyond single prompts, you need separation of concerns. The same principles we use in software engineering apply here, too.
Look at the layout carefully.
https://t.co/YF2dqGxlFx is not just a note file. It becomes project memory.
It defines:
→ Standards
→ Constraints
→ Tone
→ Non-negotiables
→ Guardrails
Instead of repeating instructions in every prompt, you centralize them. That reduces token waste and behavioral drift.
Then you see skills/.
This is where things get powerful. A skill is essentially a reusable workflow.
If you’re repeatedly doing:
-Code reviews
-Refactoring
-Output formatting
-Structured analysis
It should not live in an ad-hoc prompt. It should live as a reusable capability.
That shifts you from prompting to system design.
Next, hooks/.
Hooks are underrated. They let you enforce checks:
→ Clean tool output
→ Validate structure
→ Log commands
→ Transform JSON
If you’re not using hooks, you’re manually correcting outputs that could have been automated.
Then the repository itself stays modular:
-docs/ for architecture decisions
-src/ for actual logic
-tools/ for scripts and utilities
This prevents your AI layer from bleeding into your application layer.
When I started organizing projects this way, three things improved:
-Fewer repeated instructions
-More predictable outputs
-Easier collaboration
Especially once you add:
→ Subagents
→ MCP integrations
→ GitHub Actions automation
→ Plugin development
Without structure, context becomes clutter. With structure, Claude operates within clear boundaries.
This is not about making things complex. It’s about treating AI workflows like first-class engineering components instead of temporary chat experiments.
If you're learning Claude Code and want to see how I implement this step by step, from installation to CLI usage, skills, hooks, subagents, MCP, GitHub Actions, and plugins, I’ve recorded the full process while building real workflows.
This is the Claude Code Full Course Link- https://t.co/vyorOTkdVs
Image Credit- Brij Kishore Pandey
Happy Learning!
#ClaudeCode #claudeai
LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the context tokens were generated without any awareness of what question was coming. This asymmetry is a basic structural property of how these models work.
The paper asks what happens if you just send the prompt twice in a row, so that every part of the input gets a second pass where it can attend to every other part. The answer is that accuracy goes up across seven different benchmarks and seven different models (from the Gemini, ChatGPT, Claude, and DeepSeek series of LLMs), with no increase in the length of the model's output and no meaningful increase in response time — because processing the input is done in parallel by the hardware anyway.
There are no new losses to compute, no finetuning, no clever prompt engineering beyond the repetition itself.
The gap between this technique and doing nothing is sometimes small, sometimes large (one model went from 21% to 97% on a task involving finding a name in a list). If you are thinking about how to get better results from these models without paying for longer outputs or slower responses, that's a fairly concrete and low-effort finding.
Read with AI tutor: https://t.co/MipHHO6rjX
Get the PDF: https://t.co/XQrqiaGwIO
"Interest on the US debt is ultimately what's predicted to destroy the US economy. That debt payments will eventually grow out of control, and the dollar will be abandoned because it essentially turns into monopoly money. A fair amount of folks believe the US debt is already out of control, which is why they're swapping to actual long-term assets like precious metals, nuclear goods, or refinement," Larry Fink of BlackRock has said.
BREAKING: Trump says they will have US companies extract Venezuelan oil.
"We're going to have our very large United States oil companies go in, spend billions of dollars, fix the badly broken infrastructure..."
AI could wipe out half of all entry-level white-collar jobs and spike unemployment to 10% to 20% in the next one to five years, Anthropic CEO Dario Amodei has said.