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How to Safely Run AI-Generated Code with SmolVM (Open-Source MicroVM Sandbox)

Fresh AI, programming and Big Tech news. Scrollable decks, neon accents — maximum focus with minimal scrolling.

• Warsaw Edition
AI — Latest Models & Research
AI
How to Safely Run AI-Generated Code with SmolVM (Open-Source MicroVM Sandbox)
Your AI agent just wrote some Python. Do you feel good about running it on your laptop? If the...
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AI
I spent 6 months obsessing over MT5 bot logic — here's what finally clicked
Look, I'll be upfront with you: I'm not a hedge fund quant. I don't have a Bloomberg terminal. I...
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AI
Part 12 - Superset Seeding and Dashboards 🎛️
Part 12 - Superset Seeding and Dashboards 🎛️ This part continues from the warehouse models...
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Part 6 - API Client Design and Reliability 🔁
Part 6 - API Client Design and Reliability 🔁 This part continues from the ingestion DAG...
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Part 5 - Ingestion DAG and Raw Storage 📥
Part 5 - Ingestion DAG and Raw Storage 📥 This part continues from the runtime config and...
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Part 4 - Airflow Runtime and Shared Config ⚙️
Part 4 - Airflow Runtime and Shared Config ⚙️ This part continues from the bootstrap logic...
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Part 3 - Station Sampling and Cache Building 🗂️
Part 3 - Station Sampling and Cache Building 🗂️ This part continues from the data source...
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Part 2 - Data Sources and Domain Model 📡
Part 2 - Data Sources and Domain Model 📡 This part continues directly from the...
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Building a Voice-First AI Tutor: Why Real-Time Audio Processing Changes Everything
Most AI tutors today feel like glorified chatbots with a text-to-speech layer slapped on top. But...
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From Vibecoding to Vibelaunching: Building the ecosystems-cli
12 months ago I set a goal: ship a production-ready CLI for the ecosyste.ms API, in Python. Some...
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Today’s Progress Update — Food Blog Project
A productive day working on my Food Blog Platform 🍰 Here’s what I accomplished today: 🔹 Improved...
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MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Mathematical problem solving remains a challenging test of reasoning for large language and multimodal models, yet existing benchmarks are limited in size, language coverage, and task diversity. We introduce MathNet, a high-quality, large-scale, multimodal, and multilingual dataset of Olympiad-level math problems together with a benchmark for evaluating mathematical reasoning in generative models
arXiv
Elvin Babanlı
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