Presentations tagged AI
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What Would “Good” AI Look Like? – Anil Dash
This isn’t a comprehensive list, but it’s possible to imagine some traits of an AI system that could credibly offer…
Read MoreMCP is the coming of Web 2.0 2.0 – Anil Dash
Over the last few months, all the nerds have gotten excited about Model Context Protocol, or MCP. It’s a spec…
Read MoreVision Language Models (Better, faster, stronger)
Vision Language Models (VLMs) are the talk of the town. In a previous blog post (from April 2024), we talked a lot about…
Read MoreAs an Experienced LLM User, I Actually Don’t Use Generative LLMs Often
Although I don’t claim to the best user of modern LLMs out there, I’ve had plenty of experience working against…
Read MorePost-Chat UI
Source: Post-Chat UI – Allen Pike
Read MoreLukeW | The Evolution of AI Products
At this point, the use of artificial intelligence and machine learning models in software has a long history. But the…
Read MorePete Koomen
When I use AI to build software I feel like I can create almost anything I can imagine very quickly.…
Read MoreYou Can’t Prompt Your Way to Intuition
We don’t talk enough about the feeling of learning something deeply – the slow, sometimes frustrating and painful process that forges real…
Read More(5278) Stop Managing AI Projects Like Traditional Software – YouTube
We’ll show you why conventional approaches to product development break down when building AI and what to do instead.
Read MoreThe Dynamic Between Domain Experts & Developers Has Shifted
I too have seen this. The first generation of AI-powered products (often called “AI Wrapper” apps, because they “just” are…
Read More‘An Overwhelmingly Negative And Demoralizing Force’: What It’s Like Working For A Company That’s Forcing AI On Its Developers – Aftermath
We’re a few years into a supposed artificial intelligence revolution, which could and should have been about reducing mundane tasks…
Read MoreDenial
Source: Adactio: Journal—Denial
Read MoreVibe Coding: Democratizing Software, One Snapshot at a Time – AI Native Dev
Is vibe coding going to create a sea of crappy software? Are software engineers doomed?Let’s look at the evolution of…
Read MoreA Model Context Protocol Server (MCP) for Microsoft Paint
Why did I do this? I have no idea, honest, but it now exists. It has been over 10 years…
Read MoreWhy Generalists Own the Future
Source: Why Generalists Own the Future
Read MoreTest Driven Vibes — Royal Icing
Source: Test Driven Vibes — Royal Icing
Read MoreThe Future Favors the Curious
Running design at Microsoft AI and having done a decent amount of hiring lately, I can tell you that the…
Read MoreHow Software Engineers Actually Use AI
We surveyed 730 coders and developers about how (and how often) they use AI chatbots on the job. The results…
Read MoreThe Software Engineering Identity Crisis
To understand this identity crisis, we need to look at how deeply the craft of coding has shaped who we…
Read MoreDeep Dive into LLMs like ChatGPT – YouTube
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related…
Read MoreAI Native Developer Tools Landscape
Your Guide to the AI Development Ecosystem Source: AI Native Developer Tools Landscape
Read MoreA Field Guide to Rapidly Improving AI Products
Source: A Field Guide to Rapidly Improving AI Products – Hamel’s Blog
Read MoreLeading Effective Engineering Teams in the Age of GenAI
Using AI in software development is not about writing more code faster; it’s about building better software. It’s up to…
Read MoreThe 4 patterns of AI Native Dev
AI is fundamentally reshaping software development roles and activities. While the change is obvious, understanding the actual shifts taking place…
Read MoreAI Blindspots
Blindspots in LLMs I’ve noticed while AI coding. Sonnet family emphasis. Maybe I will eventually suggest Cursor rules for these…
Read MoreNot all AI-assisted programming is vibe coding (but vibe coding rocks)
Vibe coding is having a moment. The term was coined by Andrej Karpathyjust a few weeks ago (on February 6th)…
Read MoreMCPs are APIs for LLMs
Released by Anthropic last November, the Model Context Protocol is described as, “a new standard for connecting AI assistants to…
Read MoreVibe-designing
Currently there’s discussion of ‘vibe coding’ – that is, using LLMs to create code by iterating with prompts, quickly producing…
Read MoreAI’s effects on programming jobs
Source: AI’s effects on programming jobs | Seldo.com
Read MoreIntroducing AX: Why Agent Experience Matters
We tend to focus on the generative aspect of large language models, the outputs they can create, the text, images…
Read MoreDeepSeek-R1 Uncensored, QwQ-32B Puts Reasoning in Smaller Model, and more…
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be…
Read MoreAI and Accessibility: the Good, the Bad, and the Bollocks
Depending on what you read, and who you believe, AI is either the ultimate solution or armageddon in motion, so…
Read MoreState of AI 2025
But today I want to figure out what’s really going on. How do you use AI? What tools have you…
Read MoreWhy AI Needs Information Architecture
One of the most common questions I’m asked is, “is information architecture still relevant now that we have AI?”Of course,…
Read MoreDear Student: Yes, AI is here, you’re screwed unless you take action…
It’s just facts, I’m a straight shooter. I’d rather tell it to you straight and provide actionable advice then placate…
Read MoreIntroducing Web Applets, Rupert Manfredi
Natural language UIs are touted by many to be the future of user interfaces. But right now, they still look…
Read MoreThe AI Architect — Bret Taylor
The legendary CEO of Sierra, Chairman of OpenAI, and creator of Google Maps/Facebook Likes on the future of Software Engineering,…
Read MoreIntroducing the Anthropic Economic Index \ Anthropic
In the coming years, AI systems will have a major impact on the ways people work. For that reason, we’re…
Read MoreThe End of Programming as We Know It – O’Reilly
There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t…
Read MoreThe LLM Curve of Impact on Software Engineers
There is so much debate online about the usefulness of LLMs. While some people see giant leaps in productivity, others…
Read MoreA Gentle Intro to Running a Local LLM
But there is an overarching story across the field: LLMs are getting smarter and more efficient.And while we continually hear…
Read MoreThe future belongs to idea guys who can just do things
There, I said it. I seriously can’t see a path forward where the majority of software engineers are doing artisanal…
Read MoreLife Is More Than an Engineering Problem
Lately, Chiang has trained his eye on artificial intelligence. And Chiang’s takes haven’t gone unnoticed. In a conversation I had…
Read MoreRunning Inference In Web Extensions
We’ve recently shipped a new component inside of Firefox that leverages Transformers.js (a JavaScript equivalent of Hugging Face’s Transformers Python…
Read MoreRupert’s world – Thought partnership with language models
This is a new sort of interaction with computers, one that’s far more personal and flexible than anything in the…
Read MoreGet Started with Chrome Built-in AI : Access Gemini Nano Model locally
An AI model within your browser. Yes that’s exactly what Chrome Built-AI is all about. The team has been at…
Read MoreWhat I’ve learned about writing AI apps so far
I started writing a post called “how to write AI apps” but it was over-reach so I scaled it back…
Read MoreFive things privacy experts know about AI
In November, I participated in a technologist roundtable about privacy and AI, for an audience of policy folks and regulators.…
Read MoreBringing AI to the Browser – On-Device AI with the Web AI Toolkit
Welcome! Today we will be covering On-Device AI for Web Apps. Yes, you can run AI models on the users…
Read MoreTop 5 AI Engineering Trends of 2024 – The New Stack
This time last year, I wrote that AI engineering in 2023 was defined by a proliferation of LLMs and an…
Read MoreThe Coming Bifurcation of the Web: AgentWeb vs ArtisanWeb
The web is splitting into two distinct futures: one driven by relentless AI agents, the other shaped by human hands.…
Read MoreSoftware engineering reimagined for the AI-Native era
AI is redefining the software development process. By viewing development through a lens of problem-solving rather than code creation, engineers…
Read MoreEval-driven development: Build better AI faster
AI changes how we build software. In combination with developers, it creates a positive feedback loop where we can achieve…
Read MoreWhat Kind of Writer Is ChatGPT?
For the writers Pigg studied and the students I interviewed for this article, ChatGPT was not so much a perfect…
Read MoreWebNN Developer Preview
Run ONNX models in the browser with WebNN. The developer preview unlocks interactive ML on the web that benefits from…
Read MoreLiving documents as an AI UX pattern
As large language models (LLMs) take the tech world by storm, every product is suddenly sprouting an embedded chat box.…
Read MoreA Plea for Sober AI | Drew Breunig
Below all this hype, there’s a quiet revolution happening. I keep meeting new companies and seeing new products that make…
Read MoreAI Safety for Fleshy Humans: a whirlwind tour
This 3-part series is your one-stop-shop to understand the core ideas of AI & AI Safety* — explained in a…
Read MoreOpinion | How Should I Be Using A.I. Right Now? – The New York Times
There’s something of a paradox that has defined my experience with artificial intelligence in this particular moment. It’s clear we’re…
Read MoreLooking for AI use-cases — Benedict Evans
We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone,…
Read MoreConsiderations for AI Opt-Out
Creating a Large Language Model (LLM) requires a lot of data – as implied by the name, LLMs need voluminous…
Read MoreAI isn’t useless. But is it worth it?
But there is a yawning gap between “AI tools can be handy for some things” and the kinds of stories…
Read MoreHistorical analogies for large language models
How will large language models (LLMs) change the world ?No one knows. With such uncertainty, a good exercise is to…
Read MoreLearning from you about AI | Blog | web.dev
Over the last few months, we’ve spoken with web practitioners to understand the landscape and how you think about AI.…
Read MoreSpreadsheets are all you need.ai – A low-code way to learn AI
Spreadsheets-are-all-you-need is a low-code introduction to the details behind today’s Large Language Models (LLMs) that’s ideal for:Technical executives, marketers, and…
Read MoreThings I Don’t Know About AI
The more I learn about AI markets, the less I think I know. I list questions and some thoughts. In…
Read More“AI Inside” | Adam Stoddard
Tech companies are scrambling to stake their claims in the AI gold rush, and — on top of the legal…
Read MoreAI software still needs the human touch, Willison warns • The Register
FEATURE Simon Willison, a veteran open source developer who co-created the Django framework and built the more recent Datasette tool,…
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