AiupediaQ retweetledi
AiupediaQ
8K posts
AiupediaQ
@Alingab3
Ask the Question - Be the Question!
EU Katılım Nisan 2021
1.8K Takip Edilen675 Takipçiler
AiupediaQ retweetledi
LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below
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x.com/felixrieseberg… Everyone in the replies is scared Claude will spy on them.
Meanwhile I've been giving Claude full access to my codebase, my git history, my business docs, and my decision-making process for months.
Not because I'm reckless. Because I run a real business and Claude does in one afternoon what used to take me a week.
The privacy concern isn't wrong. But the real question nobody's asking:
What's the cost of NOT letting AI help you?
For me it was 2 employees I couldn't afford anymore and a business that was dying slowly.
Computer use is just the mouse and keyboard. I already gave it the brain.
Felix Rieseberg@felixrieseberg
Today, we’re releasing a feature that allows Claude to control your computer: Mouse, keyboard, and screen, giving it the ability to use any app. I believe this is especially useful if used with Dispatch, which allows you to remotely control Claude on your computer while you’re away.
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What I learned building all this as a non-developer:
— Start with the problem you have today, not the platform you dream about
— Build complete, stabilize, monetize, move on. Don't iterate forever.
— If your AI can't explain what it doesn't know, it's not ready
— Copy-paste between LLMs is the most underrated integration pattern
— Every document should be readable by someone with zero context
The tools don't matter. The systems thinking does.
If you sell things, manage people, and run operations — you already have the hardest skill. The coding part is the easy part now.
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The boring stuff that actually matters:
Every file I move between projects leaves a trace. A simple .md that says: what left, where it went, why, one-line summary.
Any AI reading that folder with zero context instantly knows what happened.
No databases. No tracking software. Just markdown files that humans and AI both read naturally.
The best systems are the ones you don't notice running.
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I'm not a developer. I'm a business operator who sells stuff and manages people.
In the last 7 days I built:
— a persona-builder that creates AI personas
— a traceability system that tracks files across projects
— a grounded dialog protocol for multi-agent conversations
— a 55-item security audit framework
All with Claude Code + a plugin ecosystem I built myself over 3 months.
No React knowledge before this. No Python. No CS degree.
The gap isn't "can AI code." The gap is: most developers still think in sprints.
Operators think in systems.
EurekaClaw automates research papers. My stuff automates business decisions.
Same energy. Different arena.
EurekaClaw@EurekaClaw
1/n 🦞 Introducing EurekaClaw💡 — a local-first AI research agent that captures your Eureka moments before they vanish. From idea → proof → experiment → paper — fully automated. Local-first. Zero data leak. 🔒 Try it: eurekaclaw.ai
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AiupediaQ retweetledi
@louisvarge I do this over tmux pretty fun x.com/baileychittle/…
Bailey Chittle@BaileyChittle
my weekend entertainment: claude code arguing with itself in tmux
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AiupediaQ retweetledi
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow.
🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas.
⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system.
🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time.
Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com
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I'm testing 3 client sites this week. If the daily SEO audits are solid and GEO tracking actually works — this becomes something I recommend to every client post-launch.
"How visible is your brand in AI search?" is a question most businesses can't answer today. That gap won't last.
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Reality check though: servers melted on launch day. Multiple bugs in replies. Zero public case studies with concrete numbers.
$99/mo won't replace a real CMO. But it replaces the marketing you weren't doing at all — daily SEO actions, community monitoring, AI search tracking.
For a 2-person startup with zero marketing bandwidth, going from nothing to automated daily agents is a massive jump.
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I build websites for startups. Every project ends the same way:
"Site looks great. How do we get users?"
That question costs more than the site itself to answer. @askOkara threw a team of AI agents at it for $99/mo.
My actual take after digging in:
Okara@askOkara
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
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This decade is going to look obvious only in hindsight
nachos2d@NACHOS2D_
The quality is on another level. Seedance 2.0 can create in minutes what used to take months.
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The question isn't "what game should be next."
It's what happens when a client sees this and says "can you make something like this for our launch?"
A $500 AI video that took an afternoon vs. a $15K production shoot that took three weeks. Kling 3.0 is where AI video stops being a tech demo and starts being billable.
We're 6 months away from agencies losing pitches over this. The ones building the capability now won't need to justify the line item — they'll just hit play.
x.com/marmaduke091/s…
can@marmaduke091
Unbelievable stuff is possible with AI models Using Kling 3.0, reimagining RDR 2 in India What game should be next?
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Wild times. Epic to witness
x.com/minchoi/status…
Min Choi@minchoi
This is wild... Humanoid robots are now learning sports from imperfect human motion data.
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The prompt-response loop is already the bottleneck.
You ask. AI responds. You evaluate. You ask again. Entire workflows exist just to manage that cycle.
"Act before you ask" kills it.
We tested proactive agents on a client project. The agent caught a conversion drop at 2am and adjusted the landing page copy before anyone opened Slack. Monday's performance review had nothing to discuss. The problem was already solved.
That's what changes. Not faster AI. Fewer reasons to meet.
MuleRun@mulerun_ai
Introducing MuleRun 2.0. Your personal AI, act before you ask. It learns your habits, anticipates your needs, and works while you sleep — running 24/7 on your Personal Computer assigned to you alone. No complex setup. Just talk to it.
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