Dre

Every path leads to the internet.

[Curious Minds @CuriousMindsHub]

The Power of Doing the Hard Things First

[Dhruv kumar @Dhruvkumar16797]

This guy literally explained why some people become successful while other stay average.

The reason is uncomfortable. Game Theory

Watch this:

[Eminent_minds @minds_eminent]

Things everyone learns too late

[Dickie Bush @dickiebush]

When you run your own business, there is no shortage of things to work on.

Luckily, while the number of things you could do is infinite, the types of work fall neatly into 5 buckets:

1. Produce
2. Build Leverage
3. Learn (to do 1 & 2 better)
4. Deliver
5. Admin

[Dhruv kumar @Dhruvkumar16797]

This guy literally explained why some people become successful while other stay average.

The reason is uncomfortable. Game Theory

Watch this:

[Rahul @sairahul1]

Andrej Karpathy has been saying it for years:

the bottleneck in AI coding isn't the model.

it's the context.

Most developers are burning 5-10x more tokens than they need to.

Not because they code more.

Because their agents are horribly inefficient.

Here are 10 things smart AI engineers stopped wasting money on:

1. Loading half the repo for a 30-line fix

Your agent doesn't need 50 files.

Yet auto-context happily dumps them in anyway.

80,000 tokens go in.
3,000 were actually useful.

grep first. fetch second.

2. Using Opus for everything

Linting. Formatting. Renaming. Boilerplate.

$0.60 of intelligence for a $0.02 problem.

Premium models should be escalations, not defaults.

3. Letting agents resend the same context every loop

Agent calls tool → gets result → retries → sends the entire world again.

Repeat 5 times.

Suddenly a cheap task becomes expensive.

Fix your tool loops and you can cut 30-50% of the bill without changing a single prompt.

4. Defaulting every coding task to Sonnet

Most coding tasks don't need frontier-model intelligence.

A cheaper model like Kimi can handle the boring 80-90%.

Save Sonnet/Opus for the tasks where the extra reasoning actually matters.

routing > loyalty.

5. Destroying your own prompt cache

If 90% of your system prompt, repo instructions and tools stay identical...

you shouldn't be paying full price for them every turn.

Stable prefixes should be cached.

Otherwise you're repeatedly buying the same tokens.

6. Adding files "just in case"

This is probably the biggest silent killer.

README? include it.

Config? include it.

Related directory? include it.

Maybe relevant file? include it.

Now your 3,000-token problem has an 80,000-token prompt.

More context ≠ more intelligence.

Sometimes it makes the agent worse.

7. Teaching your agent the same thing every session

Your stack.
Commands.
Architecture.
Conventions.
Deployment process.
Common mistakes.

If the agent has to rediscover these every run, you're paying tuition every session.

Write it once into SKILL.md / AGENTS.md / project instructions.

Pay once. Reuse forever.

8. Running a single-model setup

This might be the most expensive habit in AI coding.

You don't use your smartest engineer to rename variables.

Why use your smartest model?

Cheap model → routine work
Mid-tier → normal coding
Frontier → hard reasoning
That's how serious agent systems will be built.

9. Asking 10 tiny questions separately

Every new call can mean paying for the same prefix again.

Instead of:
question → answer
question → answer
question → answer

batch independent work when possible.

One context load.

Multiple outputs.

10. Paying for 3 AI coding subscriptions you barely use

Claude Pro.

ChatGPT Plus.

Cursor Pro.

Maybe another API bill on top.

Most developers have accumulated AI subscriptions faster than they accumulated actual workflows.

Audit usage.

Keep what earns its seat.

Kill the rest.

The developers who get absurd leverage from AI aren't necessarily better prompters.

They're building better systems:

→ context discipline
→ grep before fetch
→ aggressive prompt caching
→ SKILL.md / AGENTS.md
→ cheap models for cheap tasks
→ frontier models only when needed
→ batched work
→ tool-call profiling
→ automatic model routing

The biggest AI coding optimization in 2026 isn't:

"How do I write a better prompt?"
It's:
"What's the cheapest model + smallest context that can solve this correctly?"

That's the routing mindset.

And I think the gap is about to get ridiculous.

Two developers can ship the same amount of software.

One burns $4,000/month on AI.

The other burns $200/month.

Same output.

20x difference.

Not because one is a better programmer.

Because one learned how to route.

[Gipp 🦅 @gippp69]

THIS FINANCIAL ANALYST JUST SHOWED THE DOCUMENT THAT EXPLAINS HOW COMPOUND INTEREST QUIETLY CREATES MILLIONAIRES

one equation controls both sides of personal finance. the same math that grows a portfolio can also turn debt into years of interest payments

start earlier → contribute consistently → reinvest returns → compound for decades

starting at 22 instead of 32 created a $683,720 difference by retirement, while $500/month grew to roughly $899,150

credit cards run the same engine in reverse. at 19.99%, interest compounds against you while inflation quietly cuts future purchasing power

the biggest variable is time. give your money more years to compound. bookmark this

[MindBranches @MindBranches]

How to survive AI mass replacement (& escape wage slavery)

article summary in 4k light & dark

[Dipanshu Kushwaha @Dipanshu_AI]

Anthropic just released a 4-hour course to getting a $500k AI engineering job:

00:15 - The right way to prompt Claude
33:21 - What makes Claude act dumber on your code
01:33:39 - How Anthropic use Claude every day
02:50:56 - The fix that makes Claude way smarter This

4-hour Anthropic free course replaces about 10 paid engineering courses.

Watch it today, then read the step-by-step guide on building loops below.

[David Marco💡 @David_TornAI]

🎯 𝟮𝟵 𝗖𝗟𝗔𝗨𝗗𝗘 𝗦𝗛𝗢𝗥𝗧𝗖𝗨𝗧𝗦 𝗧𝗛𝗔𝗧 𝗖𝗔𝗡 𝗟𝗘𝗩𝗘𝗟 𝗨𝗣 𝗬𝗢𝗨𝗥 𝗣𝗥𝗢𝗠𝗣𝗧𝗦 🚀

Most people use Claude like a search box.

Power users use simple instructions to control how Claude thinks, writes, analyzes, and responds.

Here are 29 shortcuts worth saving:

➡️ 𝟭. /ACT — Assign a specific role
➡️ 𝟮. /TLDR — Summarize long content
➡️ 𝟯. /ELI5 — Explain it simply
➡️ 𝟰. /FORMAT AS — Control the output format
➡️ 𝟱. /BRIEFLY — Get a concise response
➡️ 𝟲. /STEP-BY-STEP — Break down a task
➡️ 𝟳. /AUDIENCE — Adapt for a specific audience
➡️ 𝟴. /CHECKLIST — Turn ideas into actionable tasks
➡️ 𝟵. /TONE — Change the writing style
➡️ 𝟭𝟬. /FIRST PRINCIPLES — Start from the fundamentals
➡️ 𝟭𝟭. /SWOT — Analyze strengths and weaknesses
➡️ 𝟭𝟮. /COMPARE — Compare multiple options
➡️ 𝟭𝟯. /EXEC SUMMARY — Create an executive summary
➡️ 𝟭𝟰. /JARGON — Use industry-specific language
➡️ 𝟭𝟱. /REWRITE AS — Rewrite in a specific style
➡️ 𝟭𝟲. /DEV MODE — Take a technical developer perspective
➡️ 𝟭𝟳. /MULTI-PERSPECTIVE — Explore different viewpoints
➡️ 𝟭𝟴. /NO AUTOPILOT — Avoid generic responses
➡️ 𝟭𝟵. /PM MODE — Think like a project manager
➡️ 𝟮𝟬. /SCHEMA — Build a structured framework
➡️ 𝟮𝟭. /CONTEXT STACK — Maintain layered context
➡️ 𝟮𝟮. /REFLECTIVE MODE — Review and improve the answer
➡️ 𝟮𝟯. /BEGIN WITH — Start with a specific phrase
➡️ 𝟮𝟰. /END WITH — Finish with a specific phrase
➡️ 𝟮𝟱. /DELIBERATE THINKING — Encourage deeper analysis
➡️ 𝟮𝟲. /EVAL-SELF — Critically evaluate the response
➡️ 𝟮𝟳. /ROLE: TASK: FORMAT: — Define exactly what you want
➡️ 𝟮𝟴. /PARALLEL LENSES — Analyze from multiple angles
➡️ 𝟮𝟵. /BIAS CHECK — Look for potential bias

⚡ The secret isn't always a better AI.

Sometimes, you just need better instructions.

🎯 Better prompts → Better outputs
🧠 Clearer context → Smarter results
📌 Save this cheat sheet for later.

❤️ Like
🔁 Repost
🔖 Bookmark

Follow @David_TornAI for more AI tips, tools & prompts.

[Movez @0xMovez]

Google engineer:

"Just delete your IDE, you don't need it anymore. Ask your Claude Code to run Claude Code for you.

85% of PRs at Google are shipped by AI agents. If you aren't building AI agents, it's crazy how behind you are."

in a 1-hour talk, Google engineer with 30 years of experience explains how the future of AI engineering will look like

Worth more than 10 paid agentic courses

Watch today, then explore how to build self-improving agents with graphs in the article below

[Amit Sharma @AmitSha77280075]

Claude Masterclass FULL COURSE 4 HOUR (Build & Automate Anything

[Evaa AI @EvaahereAi]

🚨 BREAKING: Gemini Notebook + Claude can turn a pile of research into finished content.

Here are 6 prompts for a simple research → content workflow:

[Sripathi Teja @sripathiteja4]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/9EduZDcj9Z

2 - Google:
https://t.co/99Czpf5KKs

3 - Meta:
https://t.co/dBBKUQueyj

4 - NVIDIA:
https://t.co/8jpLrGJzxy

5 - Microsoft:
https://t.co/wmK2R8oilJ

6 - OpenAI:
https://t.co/ifQ8cEx0Qt

7 - IBM:
https://t.co/QFGI0v8Cqa

8 - AWS:
https://t.co/nati5WaARH

9 - https://t.co/0vjKn1mtg2:
https://t.co/bOlcLMfgyd

10 - Hugging Face:
https://t.co/bmSTfzCvB4

Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[AI探路者Tim @AIExplorerTim]

30 个感觉「非法」却合法的 AI 网站

1. https://t.co/NfP10UM3lD — 免费无限 AI 生图，质量直逼 Midjourney

2. https://t.co/XeHXwm3Wmv — 实时 AI 生图，边画边出图

3. https://t.co/NS0z6vWaDO — AI 无限放大图片，细节自动补全

4. https://t.co/zYYBQg1FQI — AI 一键去背景/补光/擦除

5. https://t.co/CJk0uO1YgZ — AI 语音克隆，5 秒模仿任何声音

6. https://t.co/aPIsTWdWJn — 输入歌词自动生成完整歌曲

7. https://t.co/b5ZFTqDwK8 — AI 视频生成先驱，Gen-3 免费试

8. https://t.co/0pRU5ezw4g — 快手可灵 AI，中文视频生成最丝滑

9. https://t.co/FenVFSlB4d — 一张照片+一段语音=说话的数字人

10. https://t.co/AJNebzX1pF — 静态照片变说话视频

11. https://t.co/0g2ok9GKnz — AI 写代码，免费额度够日常用

12. https://t.co/NiTIttlfaH — 说话就能建网站，零代码

13. https://t.co/JsS7DUWbf7 — Vercel AI 前端生成器，描述即页面

14. https://t.co/di6VrkQIjI — 浏览器里写代码+AI 辅助+一键部署

15. https://t.co/MQW1QCZcuf — 粘贴文字自动生成信息图

16. https://t.co/W3cxcxKjba — AI 一键生成 PPT，告别 PPT 地狱

17. https://t.co/DwkXUWlxHb — Notion AI 写作、总结、翻译

18. https://t.co/IulbzA7ucr — 画草图 AI 自动生成真实网页

19. https://t.co/HDkQkhhtxz — AI 搜索引擎，问任何问题秒给答案+来源

20. https://t.co/XuqFnTSsTl — 开发者专属 AI 搜索，代码问题一搜即解

21. https://t.co/y0BODpN0CB — 会议实时转文字，免费每月 300 分钟

22. https://t.co/laxIX9AP8s — AI 剪辑短视频，自动找高光片段

23. https://t.co/xD18Odw9OO — 一个网站用 GPT-4o / Claude / Gemini

24. https://t.co/fx3OLHMNcS — 开源 AI 模型免费试玩场

25. https://t.co/w0LWE6DWRx — 一键 AI 去背景，1 秒出图

26. https://t.co/38cnuBMaTp — AI 擦除照片中任何物体

27. https://t.co/Rgy8SeZAYg — AI 换脸，1 分钟出片

28. https://t.co/VUqoFHkkx9 — AI 音乐标签+推荐

29. https://t.co/UnbY0bkXqT — AI 写作助手，免费版够日常

30. https://t.co/g1EPEylhmk — Anthropic 免费 AI 助手，长文处理天花板

[Hanako @hanakoxbt]

Google Brain founder, Andrew Ng:

"Prompting will be dead in 6 months. Loops and graphs are replacing it."

in 100 minutes at Stanford he shows how to build agents that finish the work and sharpen themselves

LLMs → Agents → Loops → Graphs

the first 15 minutes go past where most $500 AI courses stop

most people are still learning prompts while the leverage moved two layers up

same model, same tokens, and the only thing that changes is the shape you run it in

watch the lecture today, then save the full graph engineering guide below

[Dipanshu Kushwaha @Dipanshu_AI]

Don't waste 2 years learning to become an AI agentic engineer in 2026.

Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.

1 hour course. Free:

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

I watched it last night.

Halfway through, I realized I could get into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent

[Mert Metin Tekdemir @mertmetindev]

Bir Kere Girince Saatlerce Çıkamayacağınız 50 Site

1.) 'https://t.co/FDTmt38jKw' — Dünyayı canlı uydu görüntüsüyle izleme
2.) 'https://t.co/Tytazsp6y2' — Şu an gökyüzündeki her uçağı görme
3.) 'https://t.co/b8trMj1vUi' — Denizdeki tüm gemileri anlık takip
4.) 'https://t.co/EYzDYh0BqF' — Rüzgar ve fırtınaların canlı haritası
5.) 'https://t.co/tJHTnBvUBe' — Dünyaya düşen yıldırımları anlık izleme
6.) 'https://t.co/ePbstmUfab' — Son depremlerin canlı listesi
7.) 'https://t.co/G7cSydNKiO' — İnterneti taşıyan okyanus kabloları
8.) 'https://t.co/3KOx1uP05V' — Ormanların yok oluşunu uydudan izleme
9.) 'https://t.co/BjXxDVBtur' — Dünyanın istatistikleri saniye saniye
10.) 'https://t.co/cO1EjkMwuG' — Şu an atılan tweet ve arama sayısı
11.) 'https://t.co/ciADXU3PhE' — Ülkelerin gerçek boyutlarını karşılaştırma
12.) 'https://t.co/LO6JWd0BlG' — Yüzyıllar öncesinin haritaları
13.) 'https://t.co/EEUvFXzGao' — 150 bin tarihi harita arşivi
14.) 'https://t.co/yK72tIFetv' — Gönüllülerin çizdiği dünya haritası
15.) 'https://t.co/QfXLWflDxA' — Rastgele birinin penceresinden dünyaya bakma
16.) 'https://t.co/ESMrPd5w78' — Şehirlerde sanal yürüyüş
17.) 'https://t.co/pRBm3f1ANH' — Dünyanın rastgele bir noktasına ışınlanma
18.) 'https://t.co/8JaKk4HmQi' — Dünyanın en tuhaf yerlerinin kataloğu
19.) 'https://t.co/qwJXW2a6zm' — Etkileşimli bilgi deneyimleri
20.) 'https://t.co/Sp9uLE2QOu' — Atomdan evrene ölçek yolculuğu
21.) 'https://t.co/2FitQ7k3ZI' — Güneş sistemini 3B gezme
22.) 'https://t.co/KH9VyPhaoW' — Tarayıcıda gerçek gökyüzü haritası
23.) 'https://t.co/JBLDnae59F' — NASA'nın günün astronomi fotoğrafı
24.) 'https://t.co/HuFaH5Zc2g' — NASA'nın tüm görsel arşivi ücretsiz
25.) 'https://t.co/T3QWBtfYKB' — Veriyle anlatılan görsel makaleler
26.) 'https://t.co/isIkHYtRCm' — Dünyanın gerçek verilerle hali
27.) 'https://t.co/NJ7TdwwdbA' — Dünya hakkındaki yanlış bildiklerimiz
28.) 'https://t.co/vmkn87BBGW' — Karmaşık veriyi görselleştirme
29.) 'https://t.co/eHqySW1EGw' — Dünya Bankası'nın açık verileri
30.) 'https://t.co/av0bjbISF2' — Türkiye'nin resmi istatistik veritabanı
31.) 'https://t.co/l3Mb5x5KkS' — Milyonlarca kitap, film ve yazılım arşivi
32.) 'https://t.co/B6NDL6Bxri' — Telifi düşmüş 70 bin ücretsiz kitap
33.) 'https://t.co/no8SFuA27T' — Dünyanın her kitabının kaydı
34.) 'https://t.co/I1TMHDw3qI' — ABD Kongre Kütüphanesi dijital arşivi
35.) 'https://t.co/yxkHTsqFnH' — Avrupa'nın kültürel miras arşivi
36.) 'https://t.co/wMcjgRaBht' — Amerika'nın dijital kütüphane koleksiyonu
37.) 'https://t.co/8MpQHB3zrG' — Müzeleri evden gezme
38.) 'https://t.co/i3Vt53wDvA' — Sanat eserlerini yüksek çözünürlükte indirme
39.) 'https://t.co/5ei05nWSvS' — 250 bin sanat eserinin arşivi
40.) 'https://t.co/2SpGcVKFiD' — Tarihin unutulmuş görsel hazineleri
41.) 'https://t.co/sSdBoLWEvB' — Ücretsiz kültür ve eğitim arşivi
42.) 'https://t.co/UyUZxtlbfh' — Met Müzesi'nin açık koleksiyonu
43.) 'https://t.co/23cxfWRaNy' — Müzik türlerinin soy ağacı
44.) 'https://t.co/gMDy3tUEMT' — Ülke ve on yıl seçip o dönemi dinleme
45.) 'https://t.co/WrXSWim8jr' — Wikipedia düzenlemelerini sese çevirme
46.) 'https://t.co/IcRIPgCDAS' — Rastgele bilgi kuyusu
47.) 'https://t.co/WoE9MNJ5PU' — Zaman, gündoğumu ve gökyüzü olayları
48.) 'https://t.co/VrkUoUal3M' — Bilim haberlerinin güncel akışı
49.) 'https://t.co/4Nwok7W5wn' — Bilimsel makalelerin ücretsiz ön baskıları
50.) 'https://t.co/DqmPFeYnrl' — Veriyi canlı kodla görselleştirme

İnternet, algoritmanın önünüze koyduğu o beş siteden ibaret değil.

[Andrew Ng @AndrewYNg]

The most important skills in Building and Deploying AI Applications. https://t.co/IyWIKLIzeM

[Ruben Hassid @rubenhassid]

I made a 16-page PDF to get you Claude-certified.

The certificates are official by Anthropic & free...

And the playbook is free too, at https://t.co/psB7XxAv8w. Here's what's inside:

The Claude Certification Playbook.

→ 3 official certificates & the order to take them in.
→ Step from creating an account to downloading.
→ The fake detector (yes, people sell fake ones).
→ The LinkedIn format to showcase the certificates.
→ The copy-paste announcement post on LinkedIn.
→ What you can honestly say about it in interviews.

The certificates take 6 hours.
Getting the playbook takes 2 minutes:

1. Go to https://t.co/psB7XxAv8w. Subscribe for free.
2. Open the welcome email in your inbox.
3. Tap the Notion library link inside.
4. Download "The Claude Certification Playbook."
5. Start with page 4 (the fake detector).

Know someone job hunting? Send them this post. It's the favor.