Ideas that challenge / comfort / inspire
Stephen Goforth
Speed means nothing without quality. Shipping buggy, unmaintainable code faster is a false victory – you’re just speeding towards a cliff. The best engineers will balance the two: using AI to move faster without breaking things (at least not breaking things any more than we already do!). It’s about finding that sweet spot where AI does the heavy lifting and humans ensure everything stands up properly. - Addy Osmani writing on Elevate
How AI coding agents could destroy open source software – ZDnet
The Way of Code: The Timeless Art of Vibe Coding – The Way of Code
At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work - The New York Times
AI can't replace freelance coders yet, but that day is coming – The Register
Which AI coding assistant should I be using? – Stat Modeling
The AI Threat for Coding Jobs Is Becoming Clearer – Bloomberg
OpenAI introduces Codex, its first full-fledged AI agent for coding – Arstechnica
A Gemini-powered coding agent for designing advanced algorithms – Google Deep Mind
Vibe Coding is not an excuse for low-quality work – Addy Osmani writing on Elevate
Vibe Coding and You – the New Stack
AI can’t replace software engineers yet, but here is how to use it for prototyping – BD Tech Talks
Without Good Data, AI is Useless – Oracle
The Hidden Cost of AI Coding – Terrible Software
AI-enabled 'vibe coding' lets anyone write software – NPR
GitHub’s new AI coding agent can fix bugs for you – The Verge
None of this is to say AI can’t write good code – it sometimes does – but rather that context, scrutiny, and expertise are required to discern good from bad. In 2025, we are essentially using a very eager but inexperienced assistant. You shouldn’t blindly trust an AI’s code without oversight. The hype of “AI magic” needs to meet the reality of software engineering principles. - Addy Osmani writing on Elevate
"Human coders often adjust a design as they implement, discovering misassumptions along the way. AI won’t catch those misassumptions unless the human in the loop notices and corrects it." -Addy Osmani writing on Elevate
Unchecked AI-generated code can massively amplify technical debt, the hidden problems that make software brittle and costly to maintain. Many early vibe-coded projects look good on the surface (“it works, ship it!”) but hide a minefield of issues: no error handling, poor performance, questionable security practices, and logically brittle code. - Addy Osmani writing on Elevate
R - This open-source and widely supported scripting language is used by data scientists managing large, complex data sets. R is considered the best language to combine statistical computing with mathematics and graphics. It is particularly useful when creating AI applications such as computer vision, natural language processing, and predictive modeling.
More AI definitions here.
Making AI-generated code more accurate in any language – MIT
10 No-Code AI Agents to Build Apps in 2025 – AI Agents
There is no Vibe Engineering - SerCe's blog
The Decline of Stack Overflow - Tomaž Weiss
Not all AI-assisted programming is vibe coding – Simon Willison
Not a Coder? With A.I., Just Having an Idea Can Be Enough. – New York Times
Google launches AI-powered coding for free – here’s how to try it – Tom’s Guide
The Career Ladder for Software Engineers Is Collapsing - Business Insider
How to keep AI hallucinations out of your code – InfoWorld
The End of Programming as We Know It – O’Reilly
The future belongs to idea guys who can just do things – Geoffrey Huntley
AI Killed The Tech Interview. Now What? – Karen Arraway
Sam Altman says students should master AI tools the way his generation learned to code – Business Insider
You can now download the source code that sparked the AI boom – ArshTechnica
AI is knocking down the career ladder by doing more of the coding work of entry-level engineers, but, at least for now, the increased coding output from AI is also increasing the demand for and value of experienced, creative developers to interpret and put the AI's work to good use. - Business Insider
The second wave of AI coding is here – MIT Tech Review
OpenAI's new o3 model freaks out computer science majors – Axios
AI can improve on code it writes, but you have to know how to ask – The Register
What is the Best Language for Machine Learning? – Unite AI
The best AI for coding in 2025 (and what not to use) – ZD Net
An Anthropic scientist broke his hand on a bike and it forced him to write all his code with AI for two months. He is never going back.- Erik Schluntz
In the age of AI, there's no future for workers content with being code monkeys — and they know it – Business Insider
The best Large Language Models (LLMs) for coding in 2024 – Tech Radar
AI and Design Systems – Brad Frost
AI Coding Assistants: 12 Do’s and Don’ts – The New Stack
AI’s coding promises, and OpenAI’s longevity push - MIT Tech Review
ChatGPT Spells The End Of Coding As We Know It – Digg
ChatGPT Isn't Coming for Your Coding Job – Wired
There’s a new AI unicorn that will make coders faster – Semafor
Can ChatGPT write better code than Data Scientist? – Medium
5 ChatGPT features to boost your daily work And how to enhance your code quality using it – Medium
Why AI hasn’t made coding skills obsolete – Fordham Institute
An argument for bigger quantum neural networks
In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery
7 ways ChatGPT makes you code better and faster
Are data scientists still needed in the age of generative AI? Not according to this opinion piece
Making Predictions: A Beginner’s Guide to Linear Regression in Python
Air Force studying ‘military applications’ for artificial intelligence like ChatGPT
24 articles worth reading about the dangers of AI (beyond security issues)
Open-source AI chatbots are booming
A hacking conference (DEF CON 31) has invited hackers to find bugs and biases in AI
9 articles worth reading about the security dangers of AI
China tests first-ever low-Earth orbit constellation to rival SpaceX's Starlink
Intelligence analysts confront the reality of deepfakes
The NGA is hailing the value of AI tools & machine learning to analyze 1000s of satellite images
How the rise of low Earth orbit satellites can disrupt how militaries fight
Space Force reconsiders the use of the Global Positioning System constellation
USGIF white paper on GEOINT opportunities created by AI related to synthetic training data
A look at how the commercial satellite economy got to where it is today
Mastering the art of data storytelling: A guide for data scientists
A visual introduction to neural networks
Asking ChatGPT to write you a malicious code
Mutating malware can be built using the ChatGPT
New US spy satellites to track Chinese, Russian threats in orbit
Five ways to help your data science team collaborate more effectively
Many commercial-satellite operators are still creating overly ambitious plans
NGA: AI has come a long way but “not good enough” to justify a pause in development
Smaller, simpler neural network models are always more suitable for real-world applications
US vs China—a video about the race to launch the next generation of space telescopes
Pentagon Prepares for Space Warfare as Potential Threats From China, Russia Grow
Remote sensing companies try to capture bigger piece of satellite imaging market
What data scientists need to know about machine learning
The value of predictive models — cartography when data is very scarce
Space Force Wants $60 Million for Ultra-Quick Satellite Launches—with just 24 hour notice
China launches second classified high resolution remote sensing satellite
China’s secret naval base in Cambodia, through satellite imagery
Four machine learning trends to watch in 2023
Valuable GitHub repositories for data engineering
OpenAI’s price cut is “a warning sign that this may be a business with few producers"
31 Generative AI Tools for text, images, & more with descriptions
Debating the rules of a conflict in orbit
Data Cleaning with Python Cheat Sheet
The difference between the roles of questions versus decisions in data science
The hottest new programming language is English
— Andrej Karpathy (@karpathy) January 24, 2023
Andre Karpathy is an AI expert at OpenAI (which created ChatGPT).
Five statistical paradoxes that data scientists should be aware of in order to do accurate analysis
Software to sow doubts as you meta-analyze
Six of the most important types of machine learning algorithm
“Big Data is real, but most people may not need to worry about it”
The ChatGPT prompts any data scientist must use
No, chatbots aren’t sentient. Here’s how their underlying technology works
5 Common Data Analytics Types Explained in Laymen’s Terms
Using the metaverse to virtually assemble and test AI war machines for the US military
Researchers discover a more flexible approach to machine learning—liquid neural nets
The evolving role of the data engineer
Top Predictive Analytics Trends in 2023
How NGA Is integrating commercial analytic services into agency workflows
Python string matching without complex RegEx Syntax
Six python libraries especially useful to data engineers and natural language processing
Exploring data science use cases with the GPT-3 API using Python
ChatGPT and the goal of eliminating some of the rote work involved in writing code
Bayesian statistics and machine learning: How do they differ?
An integrated approach of remote sensing and geospatial analysis for the impacts of climate change
Can ChatGPT provide answers to data science questions to the same standard of humans?
A fresh look at data science from the author of a new textbook on the subject
23 Generative AI tools to create text/image/video
A few key trends that are likely to shape the development of AI in the coming year
Starlink’s performance in Ukraine has ignited a new space race
An argument for deep learning limitations based on generalization
NGA is working with small drones to help rescue operations resulting from wildfire & other disasters
Why Most Introductory Examples of Bayesian Statistics Misrepresent It
A Pandas DataFrame cheatsheet for exploratory analysis & data manipulation
Five ways that data roles will change in 2023 related to Chief Data Officers
10 weird things about SpaceX's more than 3,000 Starlink satellites (and that number keeps growing)
Initial specific steps toward launching a machine learning project
Adobe has just released a remarkable and free AI-powered enhanced speech tool
The four biggest trends they expect to shape the AI landscape in 2023
Synthetic data applications, limitations & vulnerabilities
A guide to the roles and responsibilities on a data migration team
A tech journalist goes back to high school to find out what OpenAI’s Chatbot can pass AP Lit
How Bayesian network structure learning can incorporate missing data
Potential uses of ChatGPT for data scientists
McKinsey on the state of AI since the research firm began tracking it five years ago
Different kinds of geospatial specialists are needed in different situations
China outpaces efforts by U.S. intelligence agencies to harness power of publicly available data
The Space Dev Agency’s first major satellite launch has been delayed again
A look under the hood: How does ChatGPT work internally?
Some basics about the new AI called ChatGPT
Why Neural Network explainability is important, how to do it, & the tools for it
3 approaches to track and reduce space debris
A key advancement toward commercial quantum computing applications
Creating and deleting a SQL database on Azure Cloud
A dataset to train AI systems that can generate code
Tracking the typical lifecycle of AI innovations in the aerospace and defense industry
Scientists call for better space weather alerts to prevent commercial space disasters
Data preparation is key to expanding military benefits of AI
“Our adversaries are coming after us in cyberspace” says a U.S. Space Force Col.
5 ways to use predictive insights to get the most from your data
Where is the satellite intelligence industry heading next?
15 of the little-known uses of artificial intelligence
Geopolitical threats in the space environment—debating a potential new cold war
AI creators have problems explaining how it works and determining why it has the outputs it has
Top C++ based data science and machine learning libraries
A moderately large atomic detonation could knock out satellites in low Earth orbit
“The Pentagon needs an intelligent decision support system to assist with analyzing all the data available without causing information overload for the analyst while detecting nuances and subtleties an analyst may not observe.” Read more.
Russia's anti-satellite threat tests laws of war in space
The Space Force & US Space Command could see action if Russia follows through on threats to target commercial satellites assisting Ukraine’s defense of its homeland. Read more.
SpaceX Amazon & FCC discuss satellite spectrum rulemaking
Senior Russian foreign ministry warns that the commercial satellites used by the US & its allies could become "legitimate" targets for retaliatory action by Russia. Read more.
Understanding graph neural networks & how they “apply the predictive power of deep learning to rich data structures that depict objects and their relationships as points connected by lines in a graph.” Read more.
How linear regression is used in machine learning
Linguists believed that learning language is impossible without a built-in grammar template. New AI models prove otherwise. Read more.
The value of imaginary numbers in quantum ideas to describe the hidden shape of the universe. Read more.
NSA cybersecurity director's 6 takeaways from the war in Ukraine
Artificial intelligence explainability according to MIT: “the ability to manage AI initiatives in ways that ensure models are value-generating, compliant, representative, and reliable” Read more.
Military research groups are buying advanced US software products & selling them on, boosting China’s hypersonic missile program—despite export controls designed to prevent resales to foreign entities. Read more.
FCC tightens rules on space junk: the five-year limit for getting rid of dead satellites could slow the growing orbital litter problem—if companies will abide by it. Read more.
Surprise discovery of radio signals could help track space junk and limit global security risks
The future of military satellite communications starts now
Ukraine Lessons for Naval Intelligence's Next War
Russia launches three satellite deployment missions in one week
An update on the space race matching smartphones with low-orbit satellites
Radiation from outer space could affect the computers on satellites
The charge required to corrupt data is getting smaller all the time, meaning it is actually getting easier for cosmic rays to have this effect. Read more.
3 Simple Ways to Speed Up Your Python Code
“Sweeping change is coming to the U.S. Army’s fleet of fixed-wing intelligence-gathering aircraft over the next several years.” Read more.
The war in Ukraine has underlined the growing importance of space to armies on the ground
“For serious software development, the no-code/low-code approach doesn’t work when you need to develop mission critical software. It is even more far-fetched, then, to have only citizen data scientists running your AI/ML.” Read more.
What will happen to the space debris in orbit?
10 things journalists should know About AI
The NRO is “redefining how it works with the US Space Force and the US Space Command” to “expand the NRO’s space-based intelligence surveillance and reconnaissance” as it faces a “more complex near-peer adversary environment.” Read more.
How to create satellite imagery datasets and how to apply a classification model to them based on convolutional neural networks. Read more.
NRO signs agreements with six commercial providers of space-based RF data
AI Isn’t Ready to Make Unsupervised Decisions
How to Handle Imbalanced Data in ML Classification using Python
U.S. GEOINT Is Clear Driver in Ukrainian Defense
5 Data Science Skills That Pay & 5 That Don’t
NGA Maps Out Digital Priorities for GEOINT
Three ways to establish causal relationships and how Data Scientists can adopt a causal mentality
Demystifying artificial intelligence & machine-learning (in a few words)
Five Interesting Facts about the National-Geospatial Intelligence Agency
New York Times: It’s time to start taking the potential and risks of artificial intelligence
R vs. Pandas: Understanding, slicing, filtering, and manipulating dataframes in R and Python Pandas
A Python Cheat Sheet for Data Structures and Algorithms
Intelsat has lost the ability to command its Galaxy 15 satellite
School yourself on space junk—with some cool graphics
The evolution from artificial intelligence to machine learning to data science
The limitations of blockchains and criterion for judging when a blockchain is applicable
If war comes to space, who will control US spy satellites?
Machine learning innovation among military industry companies has dropped off in the last year
How datasets are used in neural networks
A primer on how neural networks work
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