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100 links about Artificial Intelligence
- Sorting: Newest links first
- Topic: Artificial Intelligence
- bbc.com
China is winning one AI race, the US another - but either might pull ahead
We don't know where AI is taking us. Big US tech firms want to rush into that unknown future without guardrails; the Communist Party of China wants the state to oversee that research. One version promises a hyper version of consumer capitalism; the other, a world in which the state determines what you can or can't do with this technology.
- marcusoft.net
Four flow-obstructing trends in the wake of the AI hype
We as an industry right now, have got an amazing tool that will forever change how we develop products (and do many other things too). But we are viewing it with the same focus at productivity, cost-reduction and efficiency gain that we did before this paradigm shift. This leads us wrong; instead lets think about how we can optimize the entire value chain and create real value. Who knows, maybe the bottleneck in our process cannot be solved with faster output?
- staik.se
AI i Sverige. Egen hårdvara. Svensk lag.
LLM-API och AI-tjänster på egen GPU-hårdvara i Sverige. Bortom Cloud Act och Schrems II — all inferens stannar hos oss.
- provenancemanifesto.org
The Provenance Manifesto
We are discovering better ways of building software and operating organizations in the age of artificial intelligence by preserving, governing, and evolving the provenance of decisions that shape our systems.
- justinjackson.ca
Will Claude Code ruin our team?
My hope (once the dust settles) is that we come out the other side with more collaboration. Instead of competing for leverage, I'm hoping individual contributors find new ways to work together. For example, what if Product Managers and Engineers did more AI-driven pair programming? The PM could focus on customer behavior and product goals. The engineer could evaluate architecture, security, and maintainability. They would iterate together in real time, using LLMs.
- justin.searls.co
There is no 'AI' in 'Team'
The more time I spend with coding agents, the more I become convinced that they are damn-near incompatible with working in teams. I've suggested this before, but I really think more people should be chewing on this. The bottleneck for software teams—the thing that's always made them less than the sum of their parts—is the handshake problem. It's the one thing from The Mythical Man-Month everyone remembers: "Adding manpower to a late software project makes it later."
- techtransparencyproject.org
Apple and Google Are Steering Users to Nudify Apps
Apple and Google are helping users to find apps that create deepfake nude images of women, a new Tech Transparency Project investigation has found, showing how the platforms are key participants in the spread of AI tools that can turn real people into sexualized images.
- adamhjk.com
Communication Breakdown
I want to pull on a thread that we talked about in the beginning - the three emerging camps of peoples relationships to AI. This sits right at the heart of my own tension right now - I’m trying to stay on the frontier, discovering the patterns that work and those that don’t. At the same time, I’m thinking about my peers, and the impact of these changes on them and on our profession. I feel like I’m losing my ability to even talk to some folks, and it stresses me out.
- codegood.co
AI Shrinks the Team, Not the Problem
The coordination problem does not change. The need for someone to own the outcome does not change. The fragility of interfaces does not change. The cost of getting decisions wrong does not change. Organisations that understand this will use AI to make their teams more effective without assuming they can make them smaller in proportion. They will recognise that a 10-person team producing the output of 30 needs better coordination structures, not fewer coordinators.
- alexhwoods.com
Don't Let AI Write For You
The goal of writing is not to have written. It is to have increased your understanding, and then the understanding of those around you. When you are tasked to write something, your job is to go into the murkiness and come out of it with structure and understanding. To conquer the unknown.
- promptpantry.com
Prompt Pantry – Better prep. Better results.
Most people wing it. They sit down with AI and improvise. That's like walking into a kitchen and tossing random ingredients in a pan. Sometimes it works. Usually it doesn't. Good prep changes the result. The best AI users don't know magic words. They've prepped their ingredients: who they're cooking for, what they're making, how it should taste.
- adamhjk.com
As we build, so we believe
I have no idea what I actually believe about how AI will transform the industry. What I know is that if I get to work building it, I will learn what it is that I believe. They will reinforce each other. I will find my footing through walking the road and doing the work.
- annaaugust.substack.com
Nobody Is Holding the Rope
if something went wrong with our AI systems tomorrow, an unexplainable output, a biased decision, a data breach, a regulatory inquiry, who in this organisation would I call first? If the answer is a committee, a shared inbox, or a long pause followed by uncertainty, you already know what you need to build. One person. Clear mandate. Real authority. Full accountability.
- turso.tech
Turso – Databases Everywhere
Turso is the lightweight database that scales to millions of instances. Build agents, AI assistants, and intelligent apps by deploying databases everywhere: on servers, browsers, and devices, just like files. Turso is a complete SQLite drop-in replacement, built for the agentic future.
- kuber.studio
Claude Code's Entire Source Code Got Leaked via a Sourcemap in npm, Let's Talk About it
This is, without exaggeration, one of the most comprehensive looks we’ve ever gotten at how the production AI coding assistant works under the hood. Through the actual source code. A few things stand out: The engineering is genuinely impressive.
- 9to5mac.com
Vibe coding could mark the end of the App Store review process as we know it
With the launch of models like Claude Opus 4.5, it suddenly became possible to ask AI to build something for you, and it’d do it in a nearly fully functional way. That level of accuracy led to people taking a hands off approach to app building, and even enabled people who’ve never coded before to make apps. Whether or not you like this trend is another discussion. Either way, there’s one thing that holds true: App Store review isn’t cut out for it.
- paperclip.ing
Paperclip Open-source orchestration for zero-human companies
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track your agents' work and costs from one dashboard. It looks like a task manager — but under the hood it has org charts, budgets, governance, goal alignment, and agent coordination.
- mccormick.northwestern.edu
Evolved Robots Are Born to Run and Refuse to Die
To design the most effective combinations, the engineers used AI to evolve novel body configurations. Instead of sticking with standard dog- or human-like designs, the AI churned out strange new “species” of machines that no human engineer would have conceived. When connected to other modules, the metamachines undulate like seals, bound like lizards, or spring like kangaroos.
- lemonde.fr
Mistral CEO demands EU AI 'levy' to pay cultural sector
Operators of AI models in Europe should pay "a revenue-based levy... reflecting their use of content publicly available online," Arthur Mensch wrote in an op-ed for the Financial Times. "Proceeds would flow into a central European fund dedicated to investing in new content creation and supporting Europe's cultural sectors," he added.
- leaddev.com
Nobody knows what programming will look like in two years
The act of programming has lived in extract for 45 years and we’re used to that,” he said. Then the genie of generative AI coding assistants escaped from the bottle, “and all of those certainties have been thrown out of the window,” he said. Exploration doesn’t look very much like engineering from the books. “It’s about cutting corners to get answers, throwing away what you’ve done, starting over, being creative, sniffing out opportunities,” Beck said.
- thethinkingbuilder.substack.com
On AI Fatigue
Everyone is talking about how quickly they’re building things, how many agents they’re using at the same time, and how much time they’re saving. I feel like if I’m working at a regular speed, I’m not doing enough.
- davidpoll.com
Code Review Is Not About Catching Bugs
As AI generates more of the code, the nature of how teams collaborate around changes is shifting. Review is one of the few systematic places where humans on a team exercise judgment together about the system they share. What they’re judging is changing – less mechanical correctness, more intent and direction – but the collaborative act is worth protecting.
- jeffgothelf.com
Technical systems will continue to succumb to culture
AI in the workplace is transforming the technical systems. Much less attention is being paid to the cultural systems that surround it. New tools can be exciting, especially to management and motivated individual contributors. For the rest of your teams they can clearly be seen as threats to the “way we do things around here.” If we don’t address those systemic cultural issues we’ll never be able to take full advantage of these new tools in a way that truly maximizes their benefit.
- www-cs-faculty.stanford.edu
Claude’s Cycles [PDF]
Shock! Shock! I learned yesterday that an open problem I’d been working on for several weeks had just been solved by Claude Opus 4.6— Anthropic’s hybrid reasoning model that had been released three weeks earlier! It seems that I’ll have to revise my opinions about “generative AI” one of these days. What a joy it is to learn not only that my conjecture has a nice solution but also to celebrate this dramatic advance in automatic deduction and creative problem solving. I’ll try to tell the story briefly in this note.
- marcusoft.net
Navigating uncertainty - staying positive when AI is disrupting my job
Our profession is learning Both as product developers (in the wider sense of the word), and consultants. The tools, ways, ideas and needs are ever changing. We have chosen to be in school for ever. Welcome! We need to keep learning in the paradigm shift too. But when you do - learn deeper, reflect and think deeply. Use the tool, but focus on the practice. Do the practice but try to understand the principle behind it.
- simonwillison.net
tldraw issue: Move tests to closed source repo
tldraw, the outstanding collaborative drawing library, are moving their test suite to a private repository - apparently in response to Cloudflare's project to port Next.js to use Vite in a week using AI. They also filed a joke issue, now closed to Translate source code to Traditional Chinese.
- blog.cloudflare.com
How we rebuilt Next.js with AI in one week
All of those things had to be true at the same time. Well-documented target API, comprehensive test suite, solid build tool underneath, and a model that could actually handle the complexity. Take any one of them away and this doesn't work nearly as well.
- productpicnic.beehiiv.com
Corporations demand perfection from workers, but AI gets unlimited slack
The LLM experiment has taught us one thing: people are willing to tolerate error, explain themselves, collaborate, trust. Today, they are choosing to invest this positive energy into a synthetic slop extruder. But tomorrow, they could invest it into their fellow human beings, if they chose to do so.
- developer.chrome.com
WebMCP is available for early preview
WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your site with increased speed, reliability, and precision. By defining these tools, you tell agents how and where to interact with your site, whether it's booking a flight, filing a support ticket, or navigating complex data. This direct communication channel eliminates ambiguity and allows for faster, more robust agent workflows.
- wiz.io
Hacking Moltbook: The AI Social Network Any Human Can Control
We identified a misconfigured Supabase database belonging to Moltbook, allowing full read and write access to all platform data. The exposure included 1.5 million API authentication tokens, 35,000 email addresses, and private messages between agents. We immediately disclosed the issue to the Moltbook team, who secured it within hours with our assistance, and all data accessed during the research and fix verification has been deleted.
- inequalities.ai
The Silicon Gaze – A typology of biases and inequality in LLMs through the lens of place
Large language models are not neutral mirrors of the world. They systematically privilege wealthy, Western, and data-rich places while marginalizing much of the Global South. This project demonstrates that ChatGPT consistently ranks places like the United States and Western Europe more positively and portrays poorer regions as less desirable.
- marcusoft.net
Some thoughts on lead time in the age of AI
I have a lot to say about this, but we are packing it up into something a bit more digestible, so I’ll just leave you with a few core beliefs that I think will be increasingly important in the age of AI.
- chrismdp.com
How to Structure Your Teams for AI
The fundamental thread through all these roles is strategy. I believe strategic thinking will be the new constraint with AI. Strategy is not goals or vision statements. It is a clear path to achieve those goals. And it is always best done in a group with diverse perspectives.
- groq.com
LLMs Inside the Product: A Practical Field Guide
Boring AI features are reliable AI features that feel invisible to users - they just work. Read only what you need. Constrain with clear rules. Act with structured outputs and safe tools. Explain what happened. Start with the smallest useful feature. Use the patterns that fit your use case. Monitor everything. Improve based on real user behavior, not theoretical performance metrics. The goal isn’t to build impressive AI demos. It’s to ship features that users depend on every day.
- mikelovesrobots.substack.com
Where's the Shovelware? Why AI Coding Claims Don't Add Up
I wish the AI coding dream were true. I wish I could make every dumb coding idea I ever had a reality. I wish I could make a fretboard learning app on Monday, a Korean trainer on Wednesday, and a video game on Saturday. I’d release them all. I’d drown the world in a flood of shovelware like the world had never seen. Well, I would — if it worked.
- sanity.io
“You should never build a CMS”
The answer isn't to retreat to 2002 and plain text files for agents to parse. It's to build what actually solves the problem: content infrastructure that AI can read, write, and reason about. You shouldn't build a CMS from scratch with grep and markdown files. You probably shouldn't have to click through forms to update content either. Both of these can be true.
- codemanship.wordpress.com
The Gorman Paradox: Where Are All The AI-Generated Apps?
Why buy a CRM solution or a ERM system when “AI” can generate one for you in hours or even minutes? Why sign up for a SaaS platform when Cursor can spit one out just as good in the blink of an eye? But when we look beyond the noise – beyond these sensational flying saucer reports – we see nothing of the sort.
- annaloverus.com
Why we shouldn't focus on "early adoption"
The world doesn't need faster adoption. It requires deeper awareness, better judgment, and leaders who know why they're adopting something new. The leaders I trust most aren't the ones who adopt everything early. They’re the ones who combine curiosity with strategic thinking — who stay informed, evaluate what truly matters, and adopt when the timing is right. The future will not be shaped by those who adopt first, but by those who understand best.
- codemanship.wordpress.com
"AI"-Assisted Refactoring Golf
I've tried this on the C# version of ROUND_3 in Emily’s repo, and it was a lot of fun trying to get Claude to do exactly what I want. It felt a bit like playing real golf with a bazooka. I did manage to get one almost-clean round where I didn’t need to edit the code myself much at all, but – by jingo – we went around the houses!
- inma.org
Aftonbladet sees 75% increase in subscription sales with front page AI content recommendations
Instead of replacing our current recommendation system, this model became a new signal to boost the right content within Curate — our in-house editorial front-page management and content recommendation system. Thus, there is no change in the way newsrooms work or select content; it simply provides better recommendations for the nonsubscribers we want to convert.
- zed.dev
Zed – The editor for what's next
Zed's goal is to make your codebase a living, navigable history of how your software evolved, where discussions with humans and AI agents are durably linked to the code they reference and always up-to-date. It's an evolution beyond version control that incorporates not just the code itself, but also the background information of how and why the code got into a particular state—context that AI agents can query to make more informed edits, understanding the assumptions, constraints, and decisions that shaped the existing code.
- elsevanderberg.substack.com
For god's sake, "vibe checks" is not an eval strategy
So how are you systematically checking that the output your product spits out is good? Smart product/AI leaders have been shouting for months about how AI product managers need to get good at building evals (Lenny Rachitsky, Aakash Gupta, Teresa Torres, Hamel Hussain & Shreya Shankar, to name a few). So I’m shocked to see how many AI product builders have not thought this through, and leave it at a random vibe-check every now and then.
- nngroup.com
Good from Afar, But Far from Good: AI Prototyping in Real Design Contexts
The rise of AI prototyping tools is a reminder of what design truly involves: not just arranging pixels or chasing fidelity but interpreting context, establishing priorities, and creating nuance. The real work of design remains in the judgment, empathy, and intent that only human designers can provide.
- producttalk.org
Customer Interview Analysis: Where AI Helps and Hurts
Interview synthesis is cognitively challenging. It takes time. And that's time that many teams simply don't have. That's why I'm not surprised to see so many teams turn to generative AI for help with interview synthesis. But this worries me.
- kristenberman.substack.com
Slack AI: What product teams can learn from one banner
Turning a feature on doesn’t guarantee people will use it. Adoption depends on motivation, action, and recovery when things don’t go perfectly. This one banner illustrates three lessons product teams can apply right away.
- mechanicalsurvival.com
Team dynamics after AI
This all means that I value a strong coupling between skills and individuals, and I don’t see the kind of “Superhuman” AI engineer who can wear every hat having very much purchase beyond the earliest prototyping stage of a project. I think it’s a good idea to walk fast in the opposite direction, diversifying teams and deepening niches.
- hidde.blog
Time saving / time wasting
In all of these cases, AI “works great” for person 1, and is a burden to person 2. Person 2 could: see their time wasted, be forced to explain themselves for words they didn't use, risk being fired or worse. It may have legal consequences.
- bbc.com
People are using AI to talk to God
Worshipers from all the world's major religions are experimenting with chatbots. But Hinduism, with its long tradition of welcoming physical representations of gods and deities, offers a particularly vivid laboratory for this fusion of faith and technology.
- design.google
All That Sparkles Is AI
In the right context, the icon's meaning is clear. However, the AI Sparkle icon doesn’t always convey granular meaning. Users don't always know what kind of AI they're interacting with in a Google product (ML, LLM, image generator, etc.) or the precise action they'll receive — whether it's newly generated text, AI-powered analysis, or image editing suggestions.
- hyperact.co.uk
Should we revisit Extreme Programming in the age of AI?
The principle is simple: go slower in the small so you can go faster in the large. Take pair programming. On paper, you cut output in half. In practice, you double shared understanding. You surface assumptions early. You build trust. You improve quality. You raise the baseline of capability across the team.
- nngroup.com
The Proliferation and Problem of the ✨ Sparkles ✨ Icon
The sparkles icon has become increasingly prevalent in user interfaces, particularly in association with AI-driven features, but it suffers from ambiguity and lacks a standardized meaning.
- adaptivealchemist.com
Vibe coding will destroy your codebase but, you're probably not doing it
Most teams using AI tools responsibly aren’t vibe coding at all—they’re operating in entirely different regions of what I see as the AI development matrix. Understanding where you sit on this matrix determines whether AI becomes a superpower or a disaster.
- mattias.blog
The holdout test
Right now, most of our tests are “public”. The AI can see them, learn from them, and optimize for them. This works for basic functionality. But it creates a risk. The AI might generate code that passes all your tests but doesn’t actually solve the problem. Like writing an if statement for every number between 1 and 2000 instead of using a proper algorithm.
- fortune.com
MIT report: 95% of generative AI pilots at companies are failing
Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.
- cityam.com
Mass hallucinations: How I caught a rogue AI reporter
Suddenly there was no need to pay people like Wilson to write about bat bites and snake nests – AI can do that for free in a few seconds. So what’s a guy to do? “I’m not liking AI but I started to study it every day,” he says. “You have to work with it because it’s not going anywhere and we can’t do anything about it.”
- builder.io
The No Handoff Methodology: A Practical Playbook for UX Design Leaders
AI coding solutions are bringing together designers and developers to collaborate in a way they never could before. As one engineering leader recently put it: "Our source of truth needs to be our codebase. If designers can work in a tool they're good at and developers work in a tool they're good at, and they’re both working on the same thing, that's when real collaboration happens. It's a handshake, not a handoff."
- theverge.com
You sound like ChatGPT
Past the content and inside the linguistic patterns, you’ll find the creeping uniformity of AI voice. Words like “prowess” and “tapestry,” which are favored by ChatGPT, are creeping into our vocabulary, while words like “bolster,” “unearth,” and “nuance,” words less favored by ChatGPT, have declined in use. Researchers are already documenting shifts in the way we speak and communicate as a result of ChatGPT — and they see this linguistic influence accelerating into something much larger.
- mustafa-suleyman.ai
We must build AI for people; not to be a person
If some people start to develop SCAIs and if those AIs convince other people that they can suffer, or that it has a right to not to be switched off, there will come a time when those people will argue that it deserves protection under law as a pressing moral matter. In a world already roiling with polarized arguments over identity and rights, this will add a chaotic new axis of division between those for and against AI rights.
- pracap.com
Global Crossing Is Reborn…
Simply put, at the current trajectory, we’re going to hit a wall, and soon. There just isn’t enough revenue and there never can be enough revenue. The world just doesn’t have the ability to pay for this much AI. It isn’t about making the product better or charging more for the product. There just isn’t enough revenue to cover the current capex spend.
- thedecisionstack.com
Fast Fashion SaaS: Will you be Shein, Hermès, or History?
The question isn't whether AI will commoditise your software. It will. Or whether customers will build their own tools. They will. Or whether 100 competitors will emerge in your space. They will. The only question that matters is this: When your customers can build your product in a weekend, why will they still choose you on Monday?
- blog.robbowley.net
Is AI about to expose just how mediocre most developers are?
Good engineers apply modern best practices – automated testing, refactoring, small and frequent releases, continuous delivery – and design systems to stay adaptable under change. They pair this with a product mindset, making technical decisions in service of real user and business outcomes. It’s currently being labelled “product engineering” and talked about as the hot new thing, but it’s essentially agile software development as it was originally intended. In the AI-assisted era, these aren’t just nice-to-have skills – they’re the only way to get meaningful benefit. Without them, AI simply helps teams create bad software faster.
- arstechnica.com
Researchers design “promptware” attack with Google Calendar to turn Gemini evil
The researchers used Gemini's web of connectivity to perform what's known as an indirect prompt injection attack, in which malicious actions are given to an AI bot by someone other than the user. And it worked startlingly well. The promptware attack begins with a calendar appointment containing a description that is actually a set of malicious instructions. The hack happens when the user asks Gemini to summarize their schedule, causing the robot to process the poisoned calendar event.
- mistral.ai
Our contribution to a global environmental standard for AI – Mistral AI
we are committed to updating our environmental impact reports in the future and participating in discussions around the development of international industry standards. We will advocate for greater transparency across the entire AI value chain and work to help AI adopters make informed decisions about the solutions that best suit their needs. The results will later be available via ADEME’s Base Empreinte database, setting a new standard for future reference for transparency in the AI sector.
- cwodtke.medium.com
I Love Generative AI and Hate the Companies Building It
Turns out, there are no ethical AI companies. What I found instead was a hierarchy of harm where the question isn’t who’s good — it’s who sucks least. And honestly? It was ridiculously easy to uncover all their transgressions.
- asia.nikkei.com
'Positive review only': Researchers hide AI prompts in papers
Research papers from 14 academic institutions in eight countries – including Japan, South Korea and China – contained hidden prompts directing artificial intelligence tools to give them good reviews, Nikkei has found.
- anthropic.com
Project Vend: Can Claude run a small shop? (And why does that matter?)
We let Claude manage an automated store in our office as a small business for about a month. We learned a lot from how close it was to success—and the curious ways that it failed—about the plausible, strange, not-too-distant future in which AI models are autonomously running things in the real economy.
- thoughtfuleng.substack.com
AI is going to hack Jira
What will happen when we blindly apply Big Agile + premature AI tooling to core health services and patient data? Financial services? Social media and the spread of misinformation? Government infrastructure? Military infrastructure? It’s 2025 and software engineering is the backbone of pretty much everything. But for all its prevalence and influence, most people don’t have the technical literacy to even grasp the basics.
- hagakure.substack.com
Your Org Chart Isn’t Ready for AI
Traditional product teams often follow a linear flow: PM defines, designer mocks, engineers build. But that model breaks down when you're building AI-native products. We’re not designing screens for users to click—we’re building systems that interpret intent and act on it. That changes everything. To get it right, everyone needs to be involved early: product, design, frontend, backend, data. Discovery and delivery collapse into the same loop. Feedback is faster. Outcomes are less predictable. The system learns from use, so you need tight, collaborative cycles to learn with it.
- blog.singleton.io
Coding agents have crossed a chasm
Somewhere in the last few months, something fundamental shifted for me with autonomous AI coding agents. They’ve gone from a “hey this is pretty neat” curiosity to something I genuinely can’t imagine working without.
- pressgazette.co.uk
Google ‘handling stolen goods’ with Youtube theft of paywalled news articles
A YouTube channel, “The World News” had taken McGibbon’s copy and turned it into a 14-minute video, with the entire content, approximately 2,000 words, read out by an AI narrator. Childhood photographs supplied by McGibbon to the Daily Mail for one-off use only were also added in as a video montage without permission.
- ainativedev.io
7 learnings from the AI Engineering SF World Fair 2025
Many expect parallel execution to be about multi-tasking different agents working on the same codebase or subtasks, there is an emerging use case which is parallel exploration: just ask the agent to come up with different variations and you can judge which is the best one or and why not ask a LLM to be a judge too... or at least put in a vote for you?
- fly.io
My AI Skeptic Friends Are All Nuts
If you’re making requests on a ChatGPT page and then pasting the resulting (broken) code into your editor, you’re not doing what the AI boosters are doing. No wonder you’re talking past each other.
- techtidningen.se
Vi har inte lyckats visa värdet av kundservice – det är inte Klarnas fel
Många sitter fast i vardaglig brandsläckning, där en enkel fråga kan kräva fyra olika system och ett ägarskap som ingen vill kännas vid. I den miljön kan inte AI skapa värde. Den förstärker bara förvirringen.
- koomen.dev
AI Horseless Carriages
The Gmail team built a horseless carriage because they set out to add AI to the email client they already had, rather than ask what an email client would look like if it were designed from the ground up with AI. Their app is a little bit of AI jammed into an interface designed for mundane human labor rather than an interface designed for automating mundane labor.
- tidyfirst.substack.com
Social AI Adoption: Lessons from Hybrid Corn
The most effective driver of AI adoption isn't better models or improved accuracy—it's success stories from peers and respected figures in professional networks. Rather than push AI, encourage communities that will push AI.
- thealgorithmicbridge.com
What I Learned at Ghibli Day
Ghibli Day—as we might as well call it, given that OpenAI didn't bother to name the model that set it off—was special. Full of unexpected joy (especially for spouses of AI nerds) and also full of excess. That day, I had a bittersweet insight: humans don’t know how to deal with abundance.
- genai.owasp.org
2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps
Top 10 risks, vulnerabilities and mitigations for developing and securing generative AI and large language model applications across the development, deployment and management lifecycle.
- modelcontextprotocol.io
Get started with the Model Context Protocol (MCP)
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications.
- mashable.com
Should we trust Amazon's AI-generated review summaries?
Theoretically, the feature is a useful tool that helps consumers quickly decide what products to buy. But the appearance of these summaries underscores the pitfalls of relying on generative AI: inaccuracy and misleading information.
- blog.cloudflare.com
Trapping misbehaving bots in an AI Labyrinth
When we detect unauthorized crawling, rather than blocking the request, we will link to a series of AI-generated pages that are convincing enough to entice a crawler to traverse them. But while real looking, this content is not actually the content of the site we are protecting, so the crawler wastes time and resources.
- thelibre.news
FOSS infrastructure is under attack by AI companies
LLM crawlers don't respect robots.txt requirements and include expensive endpoints like git blame, every page of every git log, and every commit in your repository. They do so using random User-Agents from tens of thousands of IP addresses, each one making no more than one HTTP request, trying to blend in with user traffic.
- fffej.substack.com
The AI Opportunity for Software Engineers
Every major advance that made coding easier—high-level languages, frameworks, cloud computing all led to more software, not less. AI will follow the same pattern: by lowering the barrier to entry, it will flood the world with more software, more systems, and more complexity. And that means we need more engineers, not fewer.
- chrismdp.com
Coding with AI: How To Do It Well And What This Means
The future belongs to developers who can effectively collaborate with AI, maintaining that careful balance between leveraging its capabilities and engaging their own critical faculties. This is not vibe coding or passive acceptance. This is thoughtful, deliberate software development enhanced by AI.
- vibegameshowcase.com
Discover and Review the Best Vibe Games
A community-driven platform showcasing the most innovative indie games, with transparent revenue data and developer insights. Built with Cursor AI and Claude 3.7.
- tech.trustpilot.com
Unleashing the Potential of Generative AI: building an AI enabled product feature
Our new AI assisted review responses feature makes this easier by generating an initial response as a starting point, avoiding the need to create replies from scratch. This article describes some of the approaches we’ve taken as we introduced this exciting new feature into our product, some of the challenges we’ve faced, and some suggestions on things to watch out for as you build generative AI features.
- macworld.com
iOS 18.4 beta introduces AI-powered review summaries in the App Store
With the latest iOS and iPadOS betas, users can view AI-generated summaries of reviews left by others on App Store listings.
- aiatlas.eu
European AI Atlas
Explore our collection of innovative European AI services that are shaping the future. Find the perfect tools for your projects or discover new AI experiences.
- github.com
GibberLink
Two conversational AI agents switching from English to sound-level protocol after confirming they are both AI agents
- n8n.io
n8n – Secure, AI-native workflow automation
You can use our visual editor. You can code. You can self-host or use our cloud. You will get the job done. Let's go!
- blog.lawrencejones.dev
Beyond the AI MVP: What it really takes
You start iterating on your MVP, trying to improve it. But as you add complexity, the system becomes increasingly unpredictable. You’re making changes based on vibes, improving some edge cases while (invisibly) breaking others. This is the stage 90% of companies building AI are in.
- aftonbladet.se
Kritik mot Coops AI-reklam
Coops nya AI-reklam har mötts av en kritikstorm på sociala medier. Nu tar matjätten åt sig av kritiken.
- gauge.sh
AI Makes Tech Debt More Expensive
Companies with relatively young, high-quality codebases benefit the most from generative AI tools, while companies with gnarly, legacy codebases will struggle to adopt them. In other words, the penalty for having a ‘high-debt’ codebase is now larger than ever.
- firecrawl.dev
Firecrawl
Turn websites into LLM-ready data Power your AI apps with clean data crawled from any website. It's also open-source.
- henko.net
Only use AI if you can verify its result
Whenever you use AI, ask yourself: Am I in the position to judge the result? If not, consider skipping AI, or at least run the result by someone who is knowledgable in the area.
- oneusefulthing.org
15 Times to use AI, and 5 Not to
Like most wisdom, it's somewhat paradoxical: AI is often most useful where we're already expert enough to spot its mistakes, yet least helpful in the deep work that made us experts in the first place. It works best for tasks we could do ourselves but shouldn't waste time on, yet can actively harm our learning when we use it to skip necessary struggles.
- carlheath.se
Vi vadar alla i AI-sörja
AI-sörjan handlar inte bara om underhållning eller förvirring, den undergräver vår förmåga att hitta, förstå och värdera det som är verkligt och meningsfullt. När våra flöden fylls av nonsens förlorar vi till slut förmågan att skilja det substantiella från det triviala. Vår informationsmiljö, och därigenom vårt kunskapssamhälle, vittrar sönder.
- thetechenabler.substack.com
My guidelines for AI-assisted coding
Generally, the guidance is: don’t forget good software engineering practices just because an AI is involved.
- abc.net.au
AI in podcasting: Lessons from the ABC’s episode title optimisation pilot
In a nutshell, our use of Copilot for generating podcast titles and descriptions did not meet our producers' requirements for nuanced creativity, tone, and editorial judgement.
- simonwillison.net
Video scraping: extracting JSON data from a 35 second screen capture for less than 1/10th of a cent
The great thing about this video scraping technique is that it works with anything that you can see on your screen... and it puts you in total control of what you end up exposing to the AI model.