Joe Rinaldi Johnson 🇺🇦

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Joe Rinaldi Johnson 🇺🇦

Joe Rinaldi Johnson 🇺🇦

@joerj

Senior Product Lead @shopify. Views my own.

London Katılım Mayıs 2008
648 Takip Edilen669 Takipçiler
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Joe Rinaldi Johnson 🇺🇦
If you're a PM or people manager, I'd thoroughly recommend The Look & Sound of Leadership podcast for leadership and communication coaching tips. European friends: it's very, very American - but go with it. Thanks @shreyas for the tip.
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Seb Johnson
Seb Johnson@SebJohnsonUK·
Anthropic has announced that it is massively expanding its London presence. It’s just secured a new office for 800 people - a huge jump from its 200 current employees. OpenAI announced its first permanent office in London this week and now @AnthropicAI is doubling down. Meta, OpenAI, DeepMind, wayve and so many others have huge offices in London. It’s becoming the leading AI hub outside of the US. LETS GO
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Nandkishor
Nandkishor@devops_nk·
Honestly, this is the most accurate diagram I've seen. Waterfall: You plan for 18 months and deliver exactly what nobody needs anymore. Agile: You deliver something usable at every step, but the CEO keeps asking, "Where's the car?" AI: You get the car on day one. It has six wheels, the doors are on backwards, and it has a rocket launcher. You spend more time making it yours than actually "building"; it's shaping. owning. verifying. That's what the best AI developers do now. They don't build. They shape and own.
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Mani Fazeli
Mani Fazeli@mcfazeli·
The Shopify B2B capabilities we built for Plus merchants over the past 5 years are now available to every plan. This is HUGE! Wholesale done right, better than anyone. shopify.com/news/b2b-for-a…
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Mani Fazeli
Mani Fazeli@mcfazeli·
Starting this week, millions of @Shopify merchants can sell in ChatGPT, into the US. Their PDP, their checkout, their customizations, no extra setup. AI is a new front door to commerce. Shopify is what’s behind it everywhere.
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
Ready to deploy AI agents? NVIDIA NemoClaw simplifies running @openclaw always-on assistants with a single command. 🦞 Deploy claws more safely ✨ Run any coding agent 🌍 Deploy anywhere Try now with a free NVIDIA Brev Launchable 🔗 nvidia.com/nemoclaw
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NVIDIA Newsroom@nvidianewsroom

#NVIDIAGTC news: NVIDIA announces NemoClaw for the OpenClaw agent platform. NVIDIA NemoClaw installs NVIDIA Nemotron models and the NVIDIA OpenShell runtime in a single command, adding privacy and security controls to run secure, always-on AI assistants. nvda.ws/47xOPqQ

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Shopify Engineering
Shopify Engineering@ShopifyEng·
SimGym now runs simulated shopping sessions by the hundreds of thousands daily—with a step-change in speed on Blackwell GPUs. We partnered with engineers from @NVIDIAAI and @vLLM_project to shape a new inference stack around real production traffic: custom FlashInfer kernels, speculative decoding, and async scheduling.
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Aaron Levie
Aaron Levie@levie·
Today, software is primarily built for people to use (directly or indirectly). But it's very clear that there will be trillions of agents in the future, executing every type of task for us imaginable.  Agents will be deployed for coding, processing loans, reviewing insurance claims, executing financial transactions, acting as personal assistants, and every other known task in the economy. As a result, we're going to see a shift in who we have to increasingly build tools for.  So many new opportunities are rapidly emerging right for building for agents. Agents are going to need seamless identities across platforms. They're going to need file systems and databases to store off their work, sessions, and important data they're sharing. They're going to need tools for collaborating with people. They're going to need safe ways of spending or managing money. They're going to need computers to execute code and other tasks in. And so on. In many cases, the tools and systems that the human users are already working with will be the natural tools for these agents to leverage. There are many areas where the highways have already been built, and agents will ride right on top of those. In other cases, there will need to be new capabilities that emerge due to the scale and change in use-case that agents represent. In either case, these tools need to be API-first, as agents will leverage these tools like a developer or machine would have previously. CLIs/APIs are their native tongue.  The complex part is that building for agents introduces new challenges vs. building for people. They require far more oversight than people do, and they don't get the same right to privacy as people. They can't be held responsible for the work that they're doing, but rather the person that launches them into their task must be (for now). They don't quite know when they've run astray and can't execute the task at hand. These are just a small set of things that become the new complexities that need to be anticipated when building for agents. We’re entering a completing new era of software development and infrastructure that will be built out. Wild times ahead.
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Revolut
Revolut@Revolut·
UK. Banking. License.
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Barney Hussey-Yeo
Barney Hussey-Yeo@Barney_H_Y·
Possibly the nerdiest thing I’ve ever asked but… does anyone have a good way to keep prompting agents (Cursor, Claude Code) when you’re away from your laptop?
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Sundar Pichai
Sundar Pichai@sundarpichai·
Introducing Nano Banana 2, our best image model yet 🍌🍌 It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity. Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing. Rolling out today as the new default in the @Geminiapp, Search (across 141 countries), and Flow + available in preview via @GoogleAIStudio and Vertex AI. Also available in Google @Antigravity.
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Joe Rinaldi Johnson 🇺🇦
@claudeai Enterprise makes a tonne of sense as a use case for this. But vibe coders like me would benefit so much from this feature. Security is a gnawing doubt on some of my solo projects I'd love and pay for a version of this on a personal basis.
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Claude
Claude@claudeai·
Introducing Claude Code Security, now in limited research preview. It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss. Learn more: anthropic.com/news/claude-co…
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Barney Hussey-Yeo
Barney Hussey-Yeo@Barney_H_Y·
If I could change one thing about the West to accelerate growth, it'd be a radical shakeup of education for what's coming. Running a tech company you see it every day. Wage inflation is rampant, meaningful pay rises every six months. Job growth is accelerating in tech and flat to down everywhere else. Even trying to hire ~50 engineers a month in the UK is a challenge. We have to go to the US and Europe just to maintain a high bar. Western nations aren't producing enough computer scientists. China is going all in on developing AI talent. AI in basic education. Expanding elite university intake in AI and strategic disciplines. Scaling CS education system-wide. We're not even having the conversation. Free markets alone won't solve this. We need state intervention and a 10x increase in skilled professionals. The percentage of young people not in education, training or work should be a national emergency. Kids should be learning to code by 12, our top universities should be tripling CS and AI places, and we should be funding massive retraining for the workforce we already have. Without that we sleepwalk into a society of haves and have-nots. You're either building with AI or being replaced by it.
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Joe Rinaldi Johnson 🇺🇦
Spot on
Garry Tan@garrytan

Boil the Oceans You know the phrase: “don’t boil the ocean.” Everyone’s said it in some overly ambitious meeting. It’s good advice in normal times. It keeps teams focused. It prevents scope creep. But we are no longer in normal times, and I think it’s time to retire saying it. Artificial Superintelligence means it’s time to boil the ocean. We’ll start with a few lakes first. I was recently with a university endowment’s head of private investing who told me their engineers were terrified for their jobs after seeing what Claude Code could do. And I get it — that’s the natural first reaction. But it’s the wrong one. It’s a zero-sum reaction to a positive-sum moment. Instead of worrying about doing the same thing we’ve been doing for cheaper, why not focus on doing the thing we never even dreamed of doing? Why can’t that endowment achieve 50% net IRR instead of 10%? Why can’t a startup deliver a service that is 100x better than the incumbent? Why can’t we have fusion energy? Why can’t we talk to every single user and have a perfect understanding of every bug in our product? These aren’t rhetorical questions anymore. They’re engineering problems with paths to solutions. Here is what I think is actually going on with the fear: our fear of the future is directly proportional to how small our ambitions are. If your plan is to keep doing exactly what you’re doing, then yes, a machine that can do it faster and cheaper is terrifying. But if your plan is to do something dramatically bigger, then the machine is the best news you’ve ever gotten. If you’re a worker — someone who trades labor for a living — this is the moment to become a builder. Start a business. And if you’re already management or capital, it’s time to go 10x more hardcore on what your aspirations could be. Not eking out 5% efficiency gains. Not increasing profit margins 2% by lowering cost and firing people. Those are the old games. The new question is: what would it look like to build a product or service so good that people would happily pay 10x what they pay now? The net result of this is more jobs, not fewer. As Ryan Petersen likes to say, the human desire for more things is absolutely limitless. We can actually fulfill that desire now — if we have the agency to prompt it for ourselves. Buckminster Fuller coined the term “ephemeralization” in 1938: doing more and more with less and less until eventually you can do everything with nothing. His entire vision of progress was about technology enabling radical expansion of human capability through dematerialization. He traced this from stone bridges to iron trusses to steel cables — each iteration stronger, longer, lighter, cheaper. He wasn’t describing job destruction. He was describing civilization getting better at being civilization. This is Jevons Paradox for everything. When you make a resource dramatically more efficient, you don’t use less of it — you use vastly more. Steam engines didn’t reduce coal consumption. They made coal so useful that demand exploded. The same thing is about to happen with intelligence, with labor, with every service and product we can imagine. But Jevons Paradox doesn’t activate on its own. It requires capital and management to actually raise their ambitions — to boil lakes and oceans instead of drowning them in committee That’s what startups have always been good at: moving fast in the face of radical uncertainty, building for the 10x future while everyone else is optimizing for the 1.05x present. Time to start.

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