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- 🤖 Python Concepts every AI Engineer to master
🤖 Python Concepts every AI Engineer to master
🦾Plus: 🏆 SpaceX is Now The 6th Most Valuable U.S Company
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here’s roundup of Solution Eng + major moves in models, capital, and reliability 👇
🤖How the Right Infrastructure Unlocks Better AML Engine Performance
📈Forecasting: Principles and Practice, the Pythonic Way
🛠️ My unvarnished guide to solution engineering
🧠Kimi.ai open-sources new coding model
💶 Mistral is Rumored to Be Raising €3Bn at €20Bn Valuation
💡 AI Tutorial:How to automate any task with OpenAI Codex
🤖AI Tools and Data Tools to checkout
In this article, you will learn five essential Python concepts that every AI engineer must master to build scalable, production-grade AI systems. Topics we will cover include: How generators and lazy evaluation allow you to stream large datasets with constant memory overhead. How context managers, asynchronous programming, and Pydantic models help you manage hardware
No theory. No slides. Just pipeline.
Most founders know their product. Few know how to get it in front of the right people. In this hands-on session, Clay + HubSpot for Startups walk you through ICP definition, prospect list enrichment, and AI-personalized outreach. You launch your first sequence before the session ends. June 18. 11am ET / 4pm GMT.
Many anti-money laundering (AML) engines underperform or generate excessive false positives because of the scale and complexity of modern financial data. These unsatisfactory results are typically not due to flawed detection logic but rather to insufficient supporting infrastructure
This textbook is based on Forecasting: Principles and Practice (3rd ed) and is intended to provide a comprehensive introduction to forecasting methods and to present just enough information about each method for readers to be able to use them sensibly. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will hopefully fill in many of those details…
How do companies like Netflix, Airbnb, and Doordash apply machine learning to improve their products and processes? We put together a database of 200 case studies from 64 companies that share practical ML use cases and learnings from designing ML systems.️
Nowadays I feel more or less comfortable interacting with customers. But I was awful at first. I know because one of the cofounders gave me harsh feedback after a call with our first serious customer. I still remember slamming the lid of my computer when we debriefed. What I perceived as harsh feedback at the time turned out to help me grow quickly…I used to be a regular data scientist assigned to internal projects.
Moonshot AI just dropped Kimi-K2.7-Code, a new open-source coding model that is faster, smarter, and cheaper to run than its predecessor. The big idea: the model was specifically trained to stop "overthinking." When an AI reasons through a problem, it uses tokens, which cost money and add latency. K2.7 cuts that reasoning token usage by 30%, meaning you get better answers while spending less.
One AI employee. Engineering, finance, growth, ops.
Last week Viktor opened 14 pull requests, closed two month-end books, drafted a board update, deployed three landing pages, and triaged 600 support tickets. From inside Slack and Microsoft Teams. 20,000+ teams now run this way.
👨💻 Data Tools, Libraries
OTF
An open source alternative to terraform enterprise.
kysely
A type-safe typescript SQL query builder.
GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3.
Sintra: The AI "dream team" for overwhelmed operators. Access 12+ specialized agents that handle marketing, sales, ops, and much more for you - no prompting experience required.
AI News:
Tired of reading headlines about SpaceX? Well, you’re gonna hate this then. SpaceX’s first day as a public company was a big one. The tech company’s stock reached as high as $176/share in midday trading, pushing the company’s market cap to nearly $2.3 trillion, making SpaceX the sixth most valuable public company in the U.S.
Learn AI in 5 minutes a day
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The Rundown AI breaks it all down for you — the latest AI news, tools, and tutorials in one free 5-minute email every morning.
Trusted by 2M+ professionals at Apple, Google, and NASA.
But SpaceX isn’t the only one making major moves lately. French AI lab Mistral AI is reportedly in early discussions to raise about €3 billion ($3.5 billion) that would value the company at around €20 billion (about $23.15 billion), nearly double the €11.7 billion valuation it received in a Series C funding round last September.
Ferveret, a startup founded by two MIT nuclear engineering researchers, cools AI servers by submerging them in a low-boiling liquid adapted from reactor physics, using zero water. A UCLA study found 15 percent better efficiency than state-of-the-art liquid cooling, or 35 percent more tokens per watt with its control software. It is testing with operators including Switch, one of the largest US data center operators.
No, it’s not just you. Meta’s social platforms went down today starting around 9:20am ET, but have since recovered. While Meta hasn’t elaborated on the cause of the outage, at its peak Downdetector was showing over 113,000 reports of issues with Facebook and around 10,000 reports of issues with Instagram.
The long-promised AI overhaul arrives this fall across iOS 27, but only iPhone 15 Pro and newer make the cut. Older handsets get left behind, so the upgrade doubles as a hardware sales pitch.
If you’ve ever stared at your screen wondering where the real opportunities are hiding, this class is your shortcut.
In this free live session from VantagePoint, you’ll see how modern A.I. cuts through the noise and zeroes in on the sectors, stocks, and setups that actually matter right now. No guessing. No chasing. Just clear direction based on intermarket signals that most traders never even realize are moving their trades.
If the markets feel chaotic, this is where you regain control. Sign up now for your free live training with VantagePoint.
AI Tutorial
How to automate any task with OpenAI Codex
Open OpenAI Codex > Plugins > enable Computer Use > start a new task
Switch permissions from Default to Full access, approve the required access prompts
Then give Codex a real task to complete
Sample Prompt: “Open [app/website/file], complete [task], then summarize the results and ask before making any major changes.”
Codex can also handle repetitive desktop workflows across your apps, from organizing files and updating spreadsheets to testing websites and more
AI tools can make mistakes, please be careful with sensitive data and tasks.
🔥Top AI tools to increase productivity:
Thor.ai captures the blockers, decisions, and commitments that never make it into your tools — straight from Slack threads and meetings
AirRankPilot helps local businesses get discovered by Google and AI tools like ChatGPT and Perplexity
InboxKit is your all-in-one platform for building, managing, and scaling cold-email infrastructure.
CCPayment is a cryptocurrency payment platform allowing merchants to accept and payouts
HuePress is a SaaS platform providing therapy-grade, high-quality printable coloring pages
Creatives Takeover is an AI platform that turns raw founder ideas into business plans
Pixel‑exact AI image generator composing scenes on fixed canvases
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
👀 Freyja
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