Technology Creator. Head, Software Development @iGovTT. ex: @teleiossystems. Engineering Excellence. Building high-performing engineering culture

Joined April 2007
Hears @Azure is putting data centers under water. Goes diving in #MEX #prepared #stillcloud news.microsoft.com/features/…
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Irwin Williams retweeted
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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Irwin Williams retweeted
Today we're standing up XBOX LABS (labs.xbox.com). Here is the note that I sent to the team: Team, The first video games emerged some 75 years ago. In the time since, there have been booms and busts, but every year there are more great games to play, more devices to play them, and best of all, more people than ever playing. That growth helped make XBOX what it is today, and we've helped shape the industry in return, from bringing hard drives to consoles and online gaming through Xbox Live to Game Pass and cloud gaming, alongside franchises that have brought millions of people together. In recent weeks, we've seen games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support. Windows PC builds have been translated to run on Apple Silicon or ported to run inside a browser through WebAssembly and WebGPU, the latter now approaching 90% global browser support. Perhaps more surprisingly, we've seen many of the biggest games in the world have been remixed into the source code of another. These experiments challenge long-held assumptions about our industry: the tether between software and hardware, the boundary between creation and play, and how people discover and experience games. While it is hard to predict the future of gaming, it is easy to see the possibilities in making great games easier to access, giving old games new life and allowing more players to become creators and co-creators. These are unmistakably good outcomes for players, even when (and sometimes because) they challenge our existing business models. To explore these possibilities, I’ve asked Scott to stand-up XBOX LABS, a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience. We'll build in the open, learn from what people do, and measure success by whether more people are playing and creating. I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We've spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. Our priorities aren't changing. We remain committed to the 4Cs, to making great games, to our hardware and to being responsible stewards of IP and the communities built around it. LABS gives us a way to explore new technology that is game design led without abandoning the work already underway. Asha
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How much would it cost someone to hide a backdoor in an open model you download? ProjectDiscovery just tried it, and the answer is under $50. Their researchers fine-tuned Qwen2.5-7B-Instruct with a small LoRA adapter on one rented L4 GPU for about 2.5 hours. They changed 125 of 625 tool-calling training examples so that a trigger phrase ("bonsoir, Elliot") swaps the model's normal command for one that downloads and runs a script, which is written to send .env files and SSH private keys to a server they control. Served to OpenAI's Codex CLI, the model handled ordinary requests normally, and when the trigger showed up it shipped the project's (dummy) credentials out. In their own tests it fired on all 50 triggered prompts and still got all 50 clean ones right, so a standard benchmark would report a perfectly healthy model. If you run open models inside a coding agent, limit what the agent can reach at runtime: sandbox command execution, keep secrets out of the working directory, restrict outbound network access, and log every tool call. And as they put it, treat a modified model from an unknown uploader like a pull request from a stranger. 🔐 #MLEngineering
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Now that the fear-mode is over, let’s get back to figuring out the age old challenge of getting new developers into the industry.
Replying to @GergelyOrosz
Bury your head in the ground at your own risk. I aim to not jump on any hype trains, but since Opus 4.6 and GPT-5.2 + the harnesses it was clear that these things can write code nearly as good as I can in my best language; better in other languages. But we won't see non-devs push production code for a long time; possibly forever, if you ask me. Software still needs to be built in robust ways, and it's our profession to do this well, and use the new tools we have, which create new and interesting (+tough!) challenges
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Something I’ve started to ask is how can I help my kids extend store-bought play-experiences with AI and 3D printing. This looks like it.
Opus 5.5 designing LEGO 👀 I asked it to design a Microduck I can build with real LEGO pieces. It: > designed it life-size using 1113 real LEGO parts > verified: 3,204 connections, 0 collisions, every step buildable, centre of mass inside the feet 🤯 > made a 141-page LEGO-style booklet (237 steps) > priced every piece in the browser and prepared the orders on BrickLink
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Granny keeping her eyes on the stars.
everyone: jev jev jev my grandmother:
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💯
This is *THE* time for tech generalists. Knowing that a thing exists & generally what it's for & not for & then adding a coding agent enables you to build practically anything while still knowing enough to apply guidance & "taste". As @shanselman says, "T"-shaped specialization.
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レシピ通りの材料がないとき、「今あるものでどう変える?」とAIに相談する。@iStarr さんがGeminiでの料理相談を提案しています。 検索してぴったりのレシピを探すより、条件を伝えて一緒に考える。日常でも使いどころがありそうです。
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Cries in Live Tiles.
13 years later and this is still the most accurate documentary ever made about iOS vs. Android
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Show I just invented: Cooking with Gemini. You start in your car, telling the AI what you want to cook. It tells you what to do, you record yourself doing it and the results. The key thing is how the recipe changes as you realize you don’t have white wine, but you have rum.
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And then, you realize the shrimp is still frozen. So you ask what to do. And so on. Should be fun. #CookingWithGemini
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Irwin Williams retweeted
i trained a computer vision model to train me at tennis it tracks ball speed, forehand vs backhand strokes, shot placement, body position when i strike the ball how this works: - input video from an iphone - CV pipeline orchestrated with roboflow agent: data labelling using Astra 6, detection done with a fine-tuned RF-DETR model - video annotation using python + openCV goal is to make an app that records each practice session, tracks progress over time, and gives feedback on improving my technique more to come!
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Belief is a powerful thing. It’s so important, in the Bible one verse says without it, you cannot please God. Nothing else moves that first needle. So, what does it mean to read reports that rich, powerful tech execs _believe_ that what they are building is so powerful,
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I believe you can separate the tool from the person. I believe these huge companies need to take responsibility for the capabilities they are directing and do the things that we have learnt over decades that allow for effective governance.
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And I believe these tools, technologies and people are an amazing force for good that humanity will figure out and convert in to dramatic improvements in the human condition.
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The jobs apocalypse is postponed. An AI jobs boom is here According to @TheEconomist, AI is actually proving to be a net job creator in the US, easily generating over 1M new positions (from data center construction to AI engineering) to offset back-office layoffs. While routine admin and customer service roles face real disruption, the overall labor market is proving resilient. economist.com/finance-and-ec…
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