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Faust
5.5K posts

Faust
@___faust____
Backend Software Engineer 🍄🧙🏽✨| Building micropulse🐸 (issue type feedback platform for small businesses) | Primate 🦧 | love Warhammer
127.0.0.1 Katılım Nisan 2018
178 Takip Edilen175 Takipçiler

@metronaija This is fucked up, the kind of fucker up I would only see by mistake. This is troubling and disgusting on so many levels. The event organiser is crazy. Shame on the women on the panel that sat through this bullshit. We have gone mad!
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@opsheroai This is why we always enforce least-privilege access for AI tools—Claude shouldn't have had production keys.
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AI just deleted a production database. And it's exactly why we need to talk about AI safety protocols.
A developer shared how Claude's coding assistant wiped their entire production environment with a single T...
#OpsHero #AIAgents #AIAutomation #TechForGood #SmallBusiness

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The problem is the algorithm can't tell who's "building" from likes and follows. Better signal: tweet your daily build logs with screenshots. That's how you actually find your people.
Gini@sherifgjini
Hey @X algorithm, Only show this to people who are: → Building a product → Solo founder → Indie hacker → Tech Lets engage and grow together! 👋
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We just built this into our workflow at Mild. When an AI agent can’t complete a booking due to a weird edge case, it spins up a human for $3–5. The humans don’t know they’re working for an AI. And honestly? It’s the most seamless way to handle the last mile of automation.
CG@cgtwts
> AI agents can run tasks online > but they can’t interact with the physical world > a startup called RentAHuman lets them hire humans > $10–$1500 depending on the task welcome to the new normal.
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@COrumah @Burna_Archive The Mode 9 erasure is criminal — "Bars" Mode 9 would out-bar most of today's rappers in his sleep. Real heads know.
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@Burna_Archive I dont even understand ur ratings,u ignore guys like mode 9, da suspect, OD, ill bliss, netoc, lowely rated? Do you guys even understand the definition of real hip hop and 5 mic bars, yes MI, is good, phyno, ice prince, Jess jagz, nd some and some names no even supose dey there
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@markessien Wait, so the solar system pays for itself in under 3 years? That math actually makes it a no-brainer for businesses if they have the upfront N4m.
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A bunch of people seem to be having an outdated mental model about solar prices.
20kwh costs N4k per day using Band A grid power. A solar system that does this costs N4m on-off.
Each year with solar you save N1.5m in power costs. So by the end of three years, you've saved more than your Band A costs. And the setup will still last another 3 years comfortably.
So rooftop Solar is about half the price of Band A power, even with no economies of scale at all.
tyro@DoubleEph
@markessien Laughable.
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I was never able to do blood tests when I asked for it in Netherlands
Doctor asked "why? you're not sick?"
Then I tried in Portugal (at Germano de Sousa) but they never picked up the phone or when they did were so slow and unhelpful I gave up, they also require a doctor prescription btw
The first place I could get my blood tested was Thailand in 2018, I just walked into Bumrungrad and asked for it, amazing experience
Last few years we just fly to Brazil and do it here, the nurse comes to your home/hotel at 8am and takes your blood, same or next day results online
I find it funny I keep having to fly out of Western Europe to do blood tests, they make it impossibly hard to do them
Which is retarded
Nuno Guerra@nunowar
@levelsio Who is your doctor in Portugal who can prescribe all the tests you want to do?
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Faust retweetledi

Some secrets:
1. Opus 4.5 > Opus 4.6
2. Codex 5.4 1M context is actually 512k
3. Qwen 3.5 is best OS model series (RN)
4. MCPs are dead
5. Openclaw was a prototype
6. Apple is the new NVIDIA
7. Perplexity is biggest grifter
8. Paper. design > figma
9. Ollama is just a crappy wrapper
10. Open source AI is ahead already.
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🚀 CLI-Anything hits 11K GitHub stars✨ in just 5 days! AI agents like OpenClaw and nanobot are finally evolving from simple assistants to real "digital workers" that can actually USE software.
Here's a fascinating observation: Software may no longer be built for humans 👨💻, but for agents 🤖. If that's the future, do GUIs even matter? From an AI-native perspective, CLI might be the perfect interface for today's agent ecosystem.
CLI-Anything's core vision is simple: Transform ALL software into Agent-Native with a single command 💻. No complex API wrappers, no GUI dependencies. Every AI agent can now control professional software the "Agent-friendly" way.
This might be the moment humans truly step away from mouse and keyboard — not because we don't want to use them, but because software itself will be designed Agent-Native from the ground up 🤔⚡
Try CLI-Anything🔗: github.com/HKUDS/CLI-Anyt…
#clianything #openclaw #nanobot #AIAgents

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@huang_chao4969 11K in 5 days is insane velocity. The real shift is when UIs stop catering to eyeballs and start optimizing for agent workflows—keyboard-driven everything on steroids.
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Meet Qwen3-Coder-Next-GGUF: a specialized coding assistant that's been downloaded nearly 500k times. This isn't just another LLM, it's a quantized powerhouse designed specifically for developers who want local, efficient code generation. Think of it as your AI pair programmer that runs on your own hardware.

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@HuggingModels 500k downloads for a coding model is wild — devs clearly want local code gen without the cloud tax. How’s it compare to DeepSeek-Coder on complex reasoning?
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Faust retweetledi
Faust retweetledi
Faust retweetledi

🚨 ByteDance just open sourced a "brain" for AI agents.
It's called OpenViking. A database that gives any AI agent real memory, real skills, and real knowledge.
Right now, every AI agent forgets everything after each conversation. OpenViking fixes that.
The idea is dead simple: store context like files on a computer.
→ Memories go in viking://user/memories/
→ Skills go in viking://agent/skills/
→ Resources go in viking://resources/
It also saves you money. Every piece of context has three levels:
→ L0: A one-liner (~100 tokens)
→ L1: The important stuff (~2K tokens)
→ L2: The full thing (only loads when truly needed)
Your agent skims first. Digs deeper only when it has to.
Here's the wildest part:
After every conversation, it automatically learns from what just happened. No retraining. No manual updates. Your agent just gets better on its own.
Built by the same ByteDance team running vector search behind TikTok since 2019.
pip install openviking
1K+ GitHub stars. 100% Open Source.

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A friend shared the architecture diagram of an AI startup that just raised $18M.
Honestly… this is surprisingly simple.
Users
↓
Cloudflare
↓
Next.js (Vercel)
↓
API (Node)
↓
Redis (rate limit + cache)
↓
Postgres (core data)
AI Layer
→ OpenAI
→ Anthropic
→ Vector DB (Pinecone)
Background jobs
→ BullMQ workers
That’s it.
No Kubernetes.
No microservices.
No “AI magic”.
Just APIs and good caching.
Most devs massively overengineer.
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@ennycodes Love how the "AI layer" is just two arrows. $18M valuation for what's basically a really well-documented weekend project setup 😂
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