garyshary

3.2K posts

garyshary banner
garyshary

garyshary

@garyshary

FBM #2496

Katılım Mayıs 2018
324 Takip Edilen297 Takipçiler
garyshary retweetledi
Shann³
Shann³@shannholmberg·
how to stop claude from being a YES-MAN Ole built a skill that forces 5 AI advisors to argue about your question, blind-review each other, and hand you a verdict you can trust Here's how it works and how to set it up 🧵
Shann³ tweet media
Ole Lehmann@itsolelehmann

x.com/i/article/2038…

English
49
224
2.5K
538.6K
garyshary retweetledi
himanshu
himanshu@himanshustwts·
Based on everything explored in the source code, here's the full technical recipe behind Claude Code's memory architecture: [shared by claude code] Claude Code’s memory system is actually insanely well-designed. It isn't like “store everything” but constrained, structured and self-healing memory. The architecture is doing a few very non-obvious things: > Memory = index, not storage + MEMORY.md is always loaded, but it’s just pointers (~150 chars/line) + actual knowledge lives outside, fetched only when needed > 3-layer design (bandwidth aware) + index (always) + topic files (on-demand) + transcripts (never read, only grep’d) > Strict write discipline + write to file → then update index + never dump content into the index + prevents entropy / context pollution > Background “memory rewriting” (autoDream) + merges, dedupes, removes contradictions + converts vague → absolute + aggressively prunes + memory is continuously edited, not appended > Staleness is first-class + if memory ≠ reality → memory is wrong + code-derived facts are never stored + index is forcibly truncated > Isolation matters + consolidation runs in a forked subagent + limited tools → prevents corruption of main context > Retrieval is skeptical, not blind + memory is a hint, not truth + model must verify before using > What they don’t store is the real insight + no debugging logs, no code structure, no PR history + if it’s derivable, don’t persist it
himanshu tweet media
English
151
692
6.3K
808.5K
garyshary retweetledi
Elon Musk
Elon Musk@elonmusk·
Banger 😂
Elon Musk tweet media
Indonesia
4.9K
11.7K
207.9K
21.3M
garyshary retweetledi
Mustafa
Mustafa@oprydai·
i often think about this..
Mustafa tweet media
English
468
13.2K
104.2K
2.7M
garyshary retweetledi
Matt Montenegro
Matt Montenegro@eusouomatt·
O time da Anthropic está testando o Claude Code internamente em um nível insano. Nos últimos 52 dias, lançaram mais de 50 atualizações importantes. Um único funcionário torrou US$ 150.000 em um mês usando o Claude Code. 80% dos funcionários usam a ferramenta diariamente, e os usuários avançados geram boletos de amo menos seis dígitos.
Matt Montenegro tweet media
shirish@shiri_shh

The Anthropic team is dogfooding Claude Code at insane levels. In the last 52 days, the Claude team dropped 50+ major UPDATES. One employee alone hit $150,000 in a single month on Claude Code 80% of employees use it daily, with power users racking up six-figure bills.

Português
6
8
172
24.3K
garyshary retweetledi
Enio Viterbo
Enio Viterbo@EnioViterbo·
ATENÇÃO O ministro Alexandre de Moraes, o "paladino da democracia", vota para ENCERRAR a CPMI do INSS. Repito: O salvador da democracia vota para ENCERRAR as investigações do Congresso sobre as fraudes contra os aposentados. Eis a verdadeira face de Alexandre de Moraes.
Enio Viterbo tweet media
Português
583
4.3K
15.5K
139K
garyshary retweetledi
Rony
Rony@Ronycoder·
Instead of watching a 2-hour movie, watch this podcast with Claude’s CEO.
English
24
327
1.9K
248.9K
garyshary retweetledi
Jakelyne Loiola
Jakelyne Loiola@Jakelyneloiola_·
Sabor democracia! 🤡
Jakelyne Loiola tweet media
Español
175
6.5K
28.6K
207.8K
garyshary retweetledi
Vivo
Vivo@vivoplt·
Best YouTube Channels To Learn in 2026 1. Cybersecurity – John Hammond 2. Artificial Intelligence – Andrej Karpathy 3. AI Research Breakdown – Yannic Kilcher 4. Web Development – The Net Ninja 5. Python Programming – Corey Schafer 6. DevOps – TechWorld with Nana 7. Cloud Computing – AWS re:Invent 8. Data Analytics – Luke Barousse 9. System Design – Gaurav Sen 10. Databases – Hussein Nasser 11. Low-Level Programming – The Cherno 12. Linux – Learn Linux TV 13. Networking – David Bombal 14. Math for ML – 3Blue1Brown
Vivo tweet mediaVivo tweet media
English
60
578
3.6K
154.9K
garyshary retweetledi
Vaidehi
Vaidehi@Ai_Vaidehi·
Anthropic just announced the "Claude Certified Architect" program. And you can start today. In 16 years of my professional career, I haven't done a single certification. Not one. Not AWS. Not Azure. Not Google Cloud. Not PMP. Not Scrum. Not any of the alphabet soup. I learned by building. By breaking things. By shipping. But I'm about to break that streak. I'm going for my first-ever certification: Claude Certified Architect — Foundations Here's why this matters — especially if you're a developer, engineer, or any professional who feels like the AI wave is moving too fast. Claude Code launched a few weeks ago. And it feels like a paradigm shift. Not an incremental upgrade. Not another chatbot wrapper. A fundamentally different way of building software. Agentic architecture. Tool orchestration. MCP integration. Context management at a systems level. If those words sound intimidating — that's exactly why this certification exists. It covers everything from agentic orchestration to prompt engineering to Claude Code workflows. Not surface-level content. And here's what got me: It costs nothing. Free. Zero. $0. So if you've been feeling left behind... If you've been watching others ship AI agents while you're still figuring out where to start... If you've been telling yourself "I'll learn this next quarter"... This is your sign. Stop scrolling. Start building. First certification in 16 years. Let's see how this goes. Links in the comments 👇 Cc : Brij Pandey
Vaidehi tweet media
English
165
820
7.4K
723.8K
garyshary retweetledi
Elon Musk
Elon Musk@elonmusk·
𝕏 Money early public access will launch next month
English
15.5K
15.9K
158.6K
66M
garyshary retweetledi
Hasan Toor
Hasan Toor@hasantoxr·
🚨BREAKING: Google just dropped another hit! It's called Always-On Memory Agent and it gives your AI a memory that never turns off. It perfectly pairs with Gemini 3.1 Flash-Lite. That means it runs all day and all night without costing you much money at all. No complicated setup. No special databases. No forgetting. Here's how it works: 3 helpers run in the background → One reads your files — notes, pictures, audio, videos → One connects your ideas every 30 minutes while you sleep → One answers your questions using everything it learned Here's the coolest part: Most AI tools forget everything after you close them. This one keeps learning and connecting dots just like your brain does at night while you dream. Drop a file in a folder → the AI reads it in 5 seconds. 100% Open Source.
Hasan Toor tweet media
English
43
111
750
56.6K
garyshary retweetledi
Cauê Oliveira
Cauê Oliveira@caueconomy·
🚨A Anthropic acabou de publicar um dos gráficos mais importantes sobre o impacto da IA no trabalho. Ele mostra duas coisas diferentes. A área azul representa tudo que a IA já é capaz de fazer hoje. A área vermelha mostra como as pessoas realmente estão usando IA no trabalho. E a distância entre as duas é enorme. Essa diferença é importante porque ela revela algo que muita gente ainda não entendeu sobre a transição tecnológica. Capacidade não é adoção. Por exemplo. Em áreas como programação, grande parte das tarefas já está tecnicamente dentro do alcance da IA. O mesmo começa a aparecer em análise financeira, suporte ao cliente e funções administrativas. Mas isso não significa que essas funções desapareceram. Na prática, o que está acontecendo é muito mais gradual. O desemprego nas profissões mais expostas praticamente não mudou. O que mudou foi outra coisa. Empresas começaram a contratar menos nessas áreas. Nos EUA, as contratações para jovens entre 22 e 25 anos em funções mais expostas à IA já caíram cerca de 14%. Ou seja, a mudança não está acontecendo via demissões em massa. Ela está acontecendo via redução da porta de entrada no mercado de trabalho. Outro dado interessante do estudo: hoje, cerca de 49% dos empregos nos EUA já têm pelo menos um quarto de suas tarefas dentro do alcance da IA. Há apenas um ano, esse número era 36%. A tecnologia já chegou e isso terá impacto significativo no mercado de trabalho e atividade econômica.
Cauê Oliveira tweet media
Português
67
464
3.5K
189K
garyshary retweetledi
Vadim
Vadim@VadimStrizheus·
Paste this exact structure for your OpenClaw. You’ll thank me later. 👇
Jacob Klug@Jacobsklug

This army of @openclaw agents runs an entire company for $400/month. Here's the exact structure to follow. (bookmark for later) 1/ Core → Jarvis (the brain) → Model: Opus 4.6 via Claude Max OAuth → Routes every task to the right sub agent automatically. YouTube URL comes in, it goes to Clipper. Research report lands, it goes to Scribe. All task routing logic lives in structured MD files the agent reads from. 2/ Research → Atlas (deep research analyst) → Model: Claude via OAuth → APIs: Brave Search, X API, FireCrawl → Cron: Every 1 hour → Runs deep research across X, Reddit, and the web nonstop. Trained on MrBeast's virality framework from every podcast he did on YouTube analytics, plus Dan Koe's viral article structure. Outputs research reports and a master virality playbook MD file that the content team pulls from. 3/ Content → Scribe (copywriter) → Model: GLM 5 → Cron: Every 3 hours → Takes research from Atlas and writes draft posts matched to the founder's voice and style. → Trendy (trend scout) → Model: GLM 4.7 → APIs: X API → Cron: Every 2 hours → Scans X and Reddit for trending topics and viral patterns. Reports findings back so Scribe can write timely content around what's working right now. 4/ Design → Image Designer → Model: Nano Banana Pro (Google API) → Generates images on demand. → Video Producer → Models: Higgs Field API + Brok Imagine API → Creates AI UGC videos and video content. → Motion Designer → Model: Claude Code (OAuth) + Remotion → Produces motion graphics and animated content. 5/ Development → Clawed (senior developer) → Models: Claude Code (OAuth) + Codex 5.3 (API) → Cron: Every night at 11pm → Reviews entire codebase, identifies what's missing, and ships pull requests by morning. First feature it ever built was a FAQ section it realized the homepage needed. Spins up multi agents within Claude Code so one reviews, one builds, one handles security in parallel. → Sentinel (code reviewer + bug monitor) → Model: Separate LLM (acts as second review layer) → Cron: Every 2 hours → Reviews all pull requests from Clawed before anything gets merged to GitHub. Also monitors production for user reported bugs and errors. 6/ Growth → Atlas + Scribe working together → Atlas finds Reddit threads where people complain about competitors or ask for clipping tool recommendations. Scribe drafts responses. The founder copies and posts. This workflow alone drove 450+ users to the SaaS with zero ad spend. 7/ Operations → Clipper (clipping agent) → APIs: Poster API → On demand (triggered by Jarvis when a YouTube URL is pasted) → Takes YouTube URLs, clips them, adds captions, and auto schedules posts to social channels. → Ryder (9 to 5 support) → On demand → Handles tasks for the founder's day job. Article writing, research, daily work support. The breakdown: 6 agents run on Claude models. The rest run on cheaper API credits across GLM, Higgs Field, Brok Imagine, and others. This is how solo founders are running entire companies now. The team is already built. You just have to set it up.

English
13
15
274
59.6K
garyshary retweetledi
Hasan Toor
Hasan Toor@hasantoxr·
🚨 Microsoft just quietly dropped a tool that turns ANY document into LLM-ready data in seconds. It's called MarkItDown, a lightweight Python library that converts PDFs, Word, Excel, PowerPoint, images, audio, and YouTube URLs into clean Markdown your LLM can actually use. No custom parsers. No brittle pipelines. No preprocessing hell. Built by the AutoGen team and battle-tested across 87K GitHub stars. The numbers don't lie: → pip install markitdown and you're converting files in under 60 seconds → 10+ file formats supported out of the box → Native MCP server for direct Claude Desktop integration And it works everywhere: → Command line: markitdown file.pdf > doc .md → Python API: 3 lines of code → Docker → Azure Document Intelligence for enterprise OCR 100% Opensource. MIT license. This is the document preprocessing tool your RAG pipeline has been waiting for LLM-ready output without the LLM-ready headache. Link in the first comment 👇
Hasan Toor tweet media
English
106
414
3.2K
416.8K