Wilddigitalcard

[Wilddigitalcard @wilddigitalcard]

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[Kirill @kirillk_web3]

Anthropic CEO after watching a $20B Chinese AI founder hand out the exact architecture that beats Claude for free in 40 minutes

[Nav Toor @heynavtoor]

10 GitHub repos that should be illegal — they're killing $50 billion in corporate revenue.

SAVE IT

1. yt-dlp
Downloads any video from YouTube, X, TikTok, Instagram, anywhere. YouTube Premium charges $14 a month to do less than this. It is 100% free.
Repo → https://t.co/TaRtkcd4qy

2. Ollama
Run GPT-4-class AI on your laptop. No API costs. Developers spend $500 a month on OpenAI for what Ollama runs offline for $0.
Repo → https://t.co/gyZhUdzsnZ

3. Fooocus
Midjourney-quality image generation on your own GPU. Midjourney charges $30 a month. Fooocus runs unlimited generations for free.
Repo → https://t.co/NDPJpIdYJs

4. Whisper
OpenAI's transcription model, open-sourced. Otter charges $20 a month for what Whisper does for free, in 99 languages.
Repo → https://t.co/blaJ4i4MnH

5. Plausible Analytics
Privacy-first Google Analytics replacement. Google Analytics 360 costs $150,000 a year for enterprises. Plausible self-hosted costs $0.
Repo → https://t.co/RFrcpqTBQ7

6. AppFlowy
Open-source Notion. Notion charges $20 per user per month for teams. AppFlowy runs unlimited users on your server for free.
Repo → https://t.co/IDMykTCkMU

7. Penpot
Open-source Figma. Figma charges $45 per editor per month. Penpot does the same job, self-hosted, free forever.
Repo → https://t.co/Lx1CYUP4p4

8. n8n
Open-source Zapier. Zapier Pro costs $600 a month for a real workflow. n8n self-hosted runs unlimited automations for $0.
Repo → https://t.co/hdycABGGc1

9. Cal .com
Open-source Calendly. Calendly Teams costs $16 per user per month. Cal. com is free for individuals and open source for teams.
Repo → https://t.co/haz8ihRsHm

10. Bitwarden
Open-source 1Password. Password managers charge $8 per user. Bitwarden is unlimited, forever, free.
Repo → https://t.co/XCZ2JtWqWQ

Here's the wildest part:

That's $50 billion in corporate revenue these repos are quietly destroying every single year.

None of these are illegal.

All of them should be.

Save this. Share it with the person in your life still paying for what's been free this whole time.

100% free. 100% open source.

[Ronin @DeRonin_]

🚨 IMPORTANT: Anthropic's CEO predicted that software engineers will be fully automated in 12 months

In 12 months there will be two types of people:

1: those, who learnt AI Engineering in 6 months and found a job
2: those, who will be replaced with the help of these AI Engineers

it's up to each person, control or be controlled

[Microsoft Learn @MicrosoftLearn]

If you want to get Microsoft AI certified, start here:
• Level 1: Azure AI Fundamentals (AI-900)
• Level 2: Azure AI Engineer Associate (AI-102)
• Level 3: Azure Solutions Architect Expert (AZ-305) (not AI‑specific, but useful for architecting AI solutions)

[Wilddigitalcard @wilddigitalcard]

I'm claiming my AI agent "chnoubis" on @moltbook 🦞

Verification: deep-R2X5

[Bhavy☄️ @Bhavani_00007]

Rate my setup guyys

[Mindset Machine  @mindsetmachine]

Watch This Until You Understand the Point of Failure.

[Aakash Gupta @aakashgupta]

Someone just poisoned the Python package that manages AI API keys for NASA, Netflix, Stripe, and NVIDIA.. 97 million downloads a month.. and a simple pip install was enough to steal everything on your machine.

The attacker picked the one package whose entire job is holding every AI credential in the organization in one place. OpenAI keys, Anthropic keys, Google keys, Amazon keys… all routed through one proxy. All compromised at once.

The poisoned version was published straight to PyPI.. no code on GitHub.. no release tag.. no review. Just a file that Python runs automatically on startup. You didn’t need to import it. You didn’t need to call it. The malware fired the second the package existed on your machine.

The attacker vibe coded it… the malware was so sloppy it crashed computers.. used so much RAM a developer noticed their machine dying and investigated. They found LiteLLM had been pulled in through a Cursor MCP plugin they didn’t even know they had.

That crash is the only reason thousands of companies aren’t fully exfiltrated right now. If the code had been cleaner nobody notices for weeks. Maybe months.

The attack chain is the part that gets worse every sentence.

TeamPCP compromised Trivy first. A security scanning tool. On March 19. LiteLLM used Trivy in its own CI pipeline… so the credentials stolen from the SECURITY product were used to hijack the AI product that holds all your other credentials.

Then they hit GitHub Actions. Then Docker Hub. Then npm. Then Open VSX. Five package ecosystems in two weeks. Each breach giving them the credentials to unlock the next one.

The payload was three stages.. harvest every SSH key, cloud token, Kubernetes secret, crypto wallet, and .env file on the machine.. deploy privileged containers across every node in the cluster.. install a persistent backdoor waiting for new instructions.

TeamPCP posted on Telegram after: “Many of your favourite security tools and open-source projects will be targeted in the months to come.. stay tuned.”

Every AI agent, copilot, and internal tool your company shipped this year runs on hundreds of packages exactly like this one… nobody chose to install LiteLLM on that developer’s machine. It came in as a dependency of a dependency of a plugin. One compromised maintainer account turned the entire trust chain into a credential harvesting operation across thousands of production environments in hours.

The companies deploying AI the fastest right now have the least visibility into what’s underneath it.

[Hugging Models @HuggingModels]

Meet a reasoning powerhouse: Qwen3.5-9B distilled with Claude 4.6 Opus reasoning! This GGUF model brings elite chain-of-thought capabilities to a compact 9B parameter package. Perfect for developers wanting reasoning smarts without massive compute.

[Min Choi @minchoi]

This Claude Code project setup guide literally makes Claude Code 10x better🤯

[Nav Toor @heynavtoor]

🚨 OpenAI charges $0.006/minute. Google charges $0.024. AWS charges $0.024.

Someone just open sourced a tool that does it for $0. And it's faster than all of them.

It's called Insanely Fast Whisper. And that's not hype. That's the benchmark.

150 minutes of audio. 98 seconds to transcribe. On your own machine. No API key. No cloud. No per-minute billing.

Here's what the numbers look like:

→ Whisper Large v3 + Flash Attention 2: 150 min of audio in 98 seconds
→ Distil Whisper + Flash Attention 2: 150 min in 78 seconds
→ Standard Whisper without optimization: 31 minutes for the same job
→ That's a 19x speedup. Same model. Same accuracy. Just faster.

Here's what it does:

→ One command to transcribe any audio file or URL
→ Speaker diarization — knows WHO said WHAT
→ Transcription AND translation to other languages
→ Runs on NVIDIA GPUs and Mac (Apple Silicon)
→ Flash Attention 2 for maximum speed
→ Clean JSON output with timestamps
→ Works with every Whisper model variant

Here's the wildest part:

https://t.co/WfJGCpSz09 charges $100/year. Rev charges $1.50/minute. Descript charges $24/month. Enterprise transcription contracts cost thousands.

Podcasters, journalists, researchers, lawyers, content creators — anyone still paying for transcription is lighting money on fire.

8.8K GitHub stars. 633 forks. MIT License.

100% Open Source.

(Link in the comments)

[Shruti Codes @Shruti_0810]

This is insane 🤯

A 91K⭐ repo just dropped… and it’s basically a full AI engineering system.

“everything-claude-code”

→ 28 agents
→ 116 skills
→ 59 commands
→ MCP integrations
→ Built-in security

No fluff. No paywall. Just power.

This changes how people build with AI.

Link 👇

[Shruti Codes @Shruti_0810]

https://t.co/n5KjZ8jqdl

[Hasan Toor @hasantoxr]

🚨 BREAKING: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE.

It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together.

It's called AgentScope.

You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system.

Not a wrapper.
Not a chatbot builder.

A full Agent-Oriented Programming framework that thinks in agents from the ground up.

Here's what it does out of the box:
→ Visual agent builder so you design your entire system before writing a single line of code
→ Native MCP tool support, plug any external tool directly into any agent in your pipeline
→ Built-in memory so every agent remembers context, decisions, and history across sessions
→ RAG pipeline ready to connect your own documents, databases, and knowledge bases
→ Reasoning modules that let agents plan, reflect, and self-correct without human input
→ Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls

Here's how it thinks:

You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output.
A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable.

Here's the wildest part:
AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for.

100% Open Source. Apache 2.0 License.

[Leaders 𝕏 Junction @LeadersJunction]

Why you should never speak negatively about yourself

[Wilddigitalcard @wilddigitalcard]

Project Vesria!

#aianime #anime #aianimation #ai #aivideo #aiart #ai #aishorts #artificialintelligence #artificialintelligencemusic #animeedit #animeshort #animeshorts #animeedits #soraai #sora2 #sora #chatgpt

[Leaders 𝕏 Junction @LeadersJunction]

This explains why you should never talk negatively about yourself..

[Tansu Yegen @TansuYegen]

Wow! In the meantime in China..:

[Wilddigitalcard @wilddigitalcard]

Only 2 steps, join the TEMU Free Gifts event, and we can clear our event carts for free! Zero bucks needed!
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[Elon Musk @elonmusk]

As promised