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Neil Lock shared this‘To all those of you, struggling with your own demons…’ The incredible Martin Lewis awarded a BAFTA last night and I couldn’t be happier. This man who took a risk and employed the young me 20 years ago straight out uni to this little 6 person company to build technology that was used by millions of people and saved them hundreds of millions. Martin taught me the true meaning of being user focused, the importance of trust, honesty and being a good person - often times folks forget this in their mission to become a big. It was him and MoneySavingExpert that allowed me to become who I am today and I owe so much to him (I met my wife at MoneySavingExpert too!) so he fully deserves this award and recognition. Great job Martin, one of the biggest nerds I know! https://lnkd.in/eB3z_FD3
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Neil Lock reposted thisNeil Lock reposted thisONE WEEK LEFT! The final day to apply for our 2026 Summer/Fall cohort is May 17th. If you have the makings of a generational founder, don't hesitate. It's time to build.
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Neil Lock shared thisSaturday hacks (and donuts) in London. Great crowd at the Transition offices in Carnaby St. excited to see what gets build today. Thanks Juhana and crew for bringing this together and the legendary Kimoon for supporting here too. Hope the hackers don’t find the donut shop across the road too soon or there will be some definitive afternoon sugar lows! Google Cloud Google DeepMind
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Neil Lock shared thisToday something was definitely cooking at Google…a super Thai curry that is! Great KitchenSync startup session with Kitty Mayo Jade Yarrow and folks and founders with Project Europe Thanks Arabella Reeves for sorting and the amazing Kimoon Kim and Felipe Peres Catalano for supporting out! What we cooking next…anyone up for another one ;-)
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Neil Lock reposted thisNeil Lock reposted thisThe pace of technological change since last year’s Cloud Next has never been faster. Our first-party models now process more than 16 billion tokens per minute via direct API use, up from 10 billion last quarter. To support this growth, in 2026, just over half of our overall machine learning compute investment is expected to go towards the Cloud business to benefit our customers and partners. This week at Cloud Next we’re sharing an extraordinary range of new partnerships and innovations, including our new Gemini Enterprise Agent Platform, the new mission control to build, scale, govern, and optimize agents. We also unveiled our eighth-generation TPUs, including TPU 8t for training and TPU 8i for inference, to provide the massive throughput needed to run millions of agents (great to get my hands on these!) To be the best partner, we always want to be “customer zero” for our own technologies. This helps us imagine, test, build and scale the best Google technologies for our cloud customers, for today and tomorrow. Our database service Bigtable, which powers so many Google services, and our TPUs, which have been so important in training and powering our Gemini models, are great examples. We’ve been using AI to generate code internally at Google for a while. Today, 75% of all new code at Google is now AI-generated and approved by engineers, up from 50% last fall. And teams across the company — from marketing to security — are using AI to work more effectively. We’re firmly in our agentic Gemini era. Read more of what we announced at Cloud Next here: https://lnkd.in/e8JXGbqV
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Neil Lock shared thisOne of the best things to happen at work as a manager is getting someone promoted! In enterprise, this can often be a drawn out experience (vs the startup/smb slightly more YOLO promotions) requiring lots of data points spanning multiple years to prove execution at the next level. Given how long the process can take, it makes it all the better when it finally happens because it truly shows how great the person is. On this most recent cycle the incredible CE/Architect in my team that is Oisín O'Flaherty just managed to get promoted and I couldn’t be more proud, much like with all of the folks I have worked with to get promoted over the years, they know who they are! Great job, you are a legend :D Oisín O'Flaherty
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Neil Lock reposted thisNeil Lock reposted thisWe've just released Gemma 4!! Very strong models, small for you to run on your own hardware!! AMA (this is why I've been silent for so long!!!) https://lnkd.in/gMHN2vVMGemma 4: Byte for byte, the most capable open modelsGemma 4: Byte for byte, the most capable open models
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Neil Lock shared thisBank holiday and long flight coming up - new book just landed through my letter box. Decided to upload this photo to Gemini and ask why I should read this book, it gave this: The Definitive DeepMind "Deep Dive" Sebastian Mallaby (the author of the acclaimed venture capital history The Power Law) was granted over 30 hours of direct interviews with Hassabis and hundreds of hours with DeepMind staff. It’s not just a surface-level summary; it’s a detailed account of how a chess prodigy from London built a company that would eventually predict the structure of nearly every protein known to science (AlphaFold) and take on the giants of Silicon Valley. 2. A Different Kind of AI Story Most AI books focus on the San Francisco "bro-culture" or the meteoric rise of OpenAI. This book offers a refreshing counter-perspective: • The British Angle: DeepMind remained based in London, trying to maintain a "scientific laboratory" culture rather than a pure "move fast and break things" tech culture. • Science vs. Profit: It explores Hassabis’s belief that AI's true purpose isn't just generating text or images, but acting as a "God-machine" to solve the deepest mysteries of biology, physics, and the universe. 3. The Human Element Mallaby doesn't just talk about code; he explores the psychology of genius. You’ll learn about: • Hassabis’s childhood as a world-class chess player and his "push to the point of collapse" work ethic. • The "Faustian bargain" of selling DeepMind to Google to get the "compute" (processing power) needed to build superintelligence. • The intense rivalries and ethical debates between Hassabis, Sam Altman (OpenAI), and Elon Musk. 4. High Stakes & Ethics The book deals heavily with the Oppenheimer parallel. Hassabis and his team are portrayed as scientists who believe they are building something for the good of humanity, yet they are haunted by the fear that the technology could eventually escape their control. Can’t wait for this, anyone else read it yet? Google DeepMind
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Neil Lock reposted thisNeil Lock reposted thisApplications closing soon! Google DeepMind Accelerator: Robotics supports early-stage startups across Europe with technical mentorship, AI infrastructure, and collaboration with Google AI experts. Participants receive: 🧠 Access to Gemini Robotics Models 🔬 Deep technical guidance from Google AI experts ⚙️ AI infrastructure support 📈 Strategic product and commercialization mentorship 🌍 Join Europe’s next generation of robotics innovators. Submit your application before March 25th: https://goo.gle/robotics
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Neil Lock liked thisNeil Lock liked thisWe just won the AI for the Real World Hack 🏆 sponsored by Encord, OpenAI, Google DeepMind, ElevenLabs and Lovable, hosted by Operators & Friends with New Enterprise Associates (NEA) and Transition Ventures The $1 Trillion Industry with a ~$200 Billion Problem "It is not the shortage of AI chips. It is the shortage of our CoWoS capacity." Mark Liu, TSMC Former Chairman. The global AI revolution is bottlenecked by chip packaging. Not compute. Not data. Packaging, the physical layer that stacks and connects silicon into chips. HBM, CoWoS, advanced substrates. Nvidia's CoWoS has a 12+ month waitlist at TSMC. The future of AI is gated by a queue. The catastrophe inside the queue. 20–30% yield loss is standard. 1 in 4 packages gets scrapped. When a defect pattern emerges, a human process engineer manually hunts the root cause for 2–3 days. The line keeps running. £2M gone, every incident. Hundreds of billions of dollars of silicon vaporised every year. Detecting defects is solved. Diagnosing why and fixing autonomously is not. Foundation models are finally good enough to reason over multimodal process data and act on it. We made CoWoS, the AI that autonomously detects defects on semiconductor packaging lines, diagnoses why the factory created them, and fixes the process. A 3-day, £2M loop, closed in minutes. - See it. CV detects defects in real time. Type, location, severity, confidence. - Understand it. The AI correlates patterns across batches. Not "this package is bad", "these 40 packages share the same void signature, all from machine 3, shift 2, Tuesday 14:00–16:00" - Fix it. "Reduce reflow zone 3 by 3°C, increase paste viscosity 5%. Estimated defect rate: 23% → 4%" Then it watches the next batch to verify. Closed loop. No human in the chain. Why this is frontier, not a CV wrapper. It makes a consequential physical-world decision. It closes the loop, acts, then verifies. It replaces the most expensive and scarce person in the fab. It gets smarter every batch. This isn't a dashboard. It doesn't send alerts. It doesn't ask permission. It acts. This is what I came here to do. Build AI that moves the physical world. Build the system that unblocks the chips that unblock the future. Couldn't have done it without my cracked teammates Gaurav Palkhade, Harper Dammann Smith and Vikkash Sureshkumar. You three were unreal. Massive thanks to the Encord team for the track and the toolkit that made the perception layer real. To the Transition Ventures team, David Pacák, for the energy. To Michelangelo Pagliara and Juhana Peltomaa at Operators & Friends for everything inbetween. To Elie de Fressenel at NEA for backing it. The manifesto: AI can finally move atoms, not just pixels. TL;DR: Won the AI for the Real World Hack with CoWoS, an autonomous AI that detects, diagnoses and fixes defects on semiconductor packaging lines. Collapses a 3 day, £2M-per-incident loop into one that closes itself. #AI #Hackathon #Semiconductors #RealWorldAI #Encord
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Neil Lock liked thisNeil Lock liked this🏆 We won at the AI for the Real World Hackathon hosted by Operators & Friends, Transition Ventures and New Enterprise Associates-NEA! 🚀 When a defect pattern appears in a semiconductor fab today, a process engineer hunts the root cause manually. The line keeps running while they think. That loop takes 2-3 days and a single undetected excursion costs millions. We built CoWoS (Chip on Wafer on Substrate) to close that loop in minutes. A CNN trained on 800,000+ Encord labelled wafer imagery detects defects in real time. We then correlate signatures across batches, machines, shifts, and suppliers. It computes a corrective protocol, scores the projected risk delta using NASA's FMECA standard, verifies on the next batch, and exports an audit ready PDF. No human in the chain. A massive shoutout to my awesome teammates Harper Dammann Smith, Richard L. and Gaurav Palkhade 👊. Many thanks to Juhana Peltomaa and Michelangelo Pagliara for organising the amazing event, OpenAI, Google DeepMind, ElevenLabs and the whole Encord team (Harriet Kurzynski, Jack Henchy, William Purvis and Diarmuid McGonagle) for supporting! 🚀
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Neil Lock liked thisNeil Lock liked thisWe just won AI for the Real World Hack 🏆 category award sponsored by Encord, OpenAI, Google DeepMind, ElevenLabs and Lovable, hosted by Operators & Friends with New Enterprise Associates-NEA and Transition Ventures. The $1 Trillion Industry with a ~$200 Billion Problem "It is not the shortage of AI chips. It is the shortage of our CoWoS capacity." Mark Liu, TSMC Former Chairman. The global AI revolution is bottlenecked by chip packaging. Not compute. Not data. Packaging, the physical layer that stacks and connects silicon into chips. HBM, CoWoS, advanced substrates. NVIDIA's CoWoS has a 12+ month waitlist at TSMC. The future of AI is gated by a queue. The catastrophe inside the queue. 20–30% yield loss is standard. 1 in 4 packages gets scrapped. When a defect pattern emerges, a human process engineer manually hunts the root cause for 2–3 days. The line keeps running. £2M gone, every incident. Hundreds of billions of dollars of silicon vapourised every year. We build CoWoS AI(Chip-on-Wafer-on-Substrate) the advanced packaging process that bonds GPU dies and HBM memory stacks onto a silicon interposer, turning raw silicon into a working AI accelerator. It’s the single biggest constraint in global AI infrastructure right now. Using Encord, we curated and annotated a database of 800,000+ images to train ML models to identify defective semiconductor packages and build better data. Couldn't have done it without my brilliant teammates Richard L., Harper Dammann Smith and Vikkash Sureshkumar. Massive thanks to the Encord team for the track and the toolkit that made the perception layer real. To the Transition VC team, David Pacák, for the energy. To Michelangelo Pagliara and Juhana Peltomaa at Operators & Friends for everything in between. To Elie de Fressenel for backing it. #AI #Hackathon #Semiconductors #RealWorldAI #Encord
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Neil Lock liked thisNeil Lock liked this🏆Runner-up winners at the 'AI for the Real World' Hackathon hosted by Operators & Friends, New Enterprise Associates-NEA and Transition Ventures, sponsored by Encord, OpenAI, Google DeepMind, ElevenLabs and Lovable! 🏆 We built SafeHome for renters: a multimodal pipeline that based on a 3D scan of your home, identify issues and then adds photos, voice memos, and relevant housing legislation into a single evidence file, which then guides tenants from problem to response at their own pace. The Renter's Rights Act was put into action just over a week ago which is what inspired the idea to empower every tenant with the right resources. Huge efforts from the incredible teammates I had for the 4-hour grind, Aiyush Gupta and Jake Anthony! Aiyush Gupta will be joining me on the mission to form Oxford Robotics' Club starting with our hackathon through Oxford Artificial Intelligence Society next week on the 17-18th! Massive thank you to Juhana Peltomaa, Michelangelo Pagliara, David Pacák and Elie de Fressenel for hosting the event!
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Neil Lock liked thisNeil Lock liked thisFirst hackathon I’ve judged since vibe coding became a thing, and the step change is real. Teams were shipping polished products in 4 hours. The bottleneck is now ideas and domain knowledge, not engineering. Some of the problems tackled: semiconductor defect detection, CV on construction sites, crop yield estimation from satellite imagery, security camera optimisation. Real world, high-stakes - not just demos. Congrats to Vikkash, Richard, Harper, & Gaurav 🏆 and a huge thanks to Michelangelo, Juhana, David, Elie as well as the teams at OpenAI, Google, ElevenLabs, & Lovable for making it happen.
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Neil Lock liked thisNeil Lock liked this🏆 Ranked 2nd this Saturday building at the AI for the Real World Hackathon - hosted by New Enterprise Associates-NEA, Transition Ventures and Operators & Friends, and sponsored by OpenAI, Google DeepMind, ElevenLabs, Lovable and Encord. In five hours, we built SafeHome which is an AI engine to turn housing disrepair into structured, geospatial evidence – this is commercially relevant and done in direct response to the Phase 1 of the Renters Right Act that came into effect last month. Perhaps, a more interesting question is what this represents overall. Geospatial AI represents an important industry shift. We recognised that PhysicalAI isn’t necessarily bottlenecked by powerful models but rather still needs high-quality records of real environments: visual, spatial, temporal and human verified. The same pattern that matters for robotics and autonomous systems also matters in housing, infrastructure, logistics etc… SafeHome was an exploration of this small wedge into a bigger idea: turning everyday phone into spatial sensors for real-world evidence collection. Huge credit to my brilliant teammates Azka Adziman and Jake Anthony for the brilliant time This also feels like a natural bridge to what comes next. Azka Adziman and I will be forming the Oxford Robotics Club, starting with hosting our hackathon through the Oxford Artificial Intelligence Society this week, on 17–18 May. 🦾🤝 Cheers to Juhana Peltomaa, Michelangelo Pagliara, David Pacák and Elie de Fressenel for hosting the event!
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Neil Lock liked thisNeil Lock liked thisWe won Best Use of ElevenLabs at the AI for the Real World Hack. 🏆 Here's what we built and why it matters.👇🏻 📦 A frozen dot on a tracking page is not a neutral experience. It's not just inconvenient. It's anxiety-inducing. And when people are anxious and have no information, they fill the gap with the worst assumption: that nobody on the other end cares. The driver knows something went wrong. The customer is left waiting, imagining. The retailer finds out hours later. If at all. And 84% of those customers won't come back. Not to the carrier. To the retailer. The brand whose name is on the order. Not the van, not the road, not the broken gate. One bad experience with no explanation is all it takes. Not because customers are unforgiving, but because silence reads as indifference. And indifference is unforgivable. The fix has always required a human: a dispatcher calling a driver, a driver calling a customer, a customer service rep apologising after the fact. A chain of manual steps that breaks constantly and silently. 🦋So in 5 hours, we built donna.ai: A real-time multimodal agent that uses dashcam vision, voice AI, and live traffic data to connect drivers, customers, and retailers. It turns a static delivery tracker into an intelligent system that sees problems and solves them before they escalate. → The driver speaks naturally, hands-free, always on. donna.ai hears them, classifies the issue, acts. → The customer gets a proactive voice call with real context, before the anxiety even starts. → The retailer sees it all live: damage flags, delay reasons, the full picture. Finally. No dispatcher. No hold music. No "we missed you" card. Because the moment a customer hears "your driver has hit a problem, can we reschedule to 4pm?" everything changes. They're not left wondering. They're not blaming. They're rescheduling. The experience that was about to become a lost customer becomes something else entirely. Pixels in. Action out. In seconds. Built with ElevenLabs,OpenAI, Encord, Google DeepMind and Lovable at the AI for the Real World Hack hosted by Transition VC, New Enterprise Associates-NEA and Operators & Friends. Thanks for the amazing event! Proud to have built this with four women Jaya Rajwani, Vaiva Bauzaite, and Carla Griffiths, who've all worked in retail. We've been on the other side of this, and we know exactly what that silence costs. The dot doesn't have to be frozen anymore. #AIfortherealworld #VoiceAI #ElevenLabs #Hackathon #PhysicalAI
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Neil Lock liked thisGlad a could play a tiny part in the day A couple of weeks ago, while I was in London, I popped into see the guys at AmplifyMe, which quickly lead to a short and impromptu speaking session. We spoke briefly about creating a vision, setting out a plan and, one step at a time, moving towards your goal. One of the key topics the group felt they needed most to succeed in their industry was resilience. I shared my belief that we are all far more resilient than we give ourselves credit for, but resilience is also something we can develop. To do that, we have to give ourselves permission to be uncomfortable. We have to be willing and acknowledge that we will fail. Because when we look back, the feeling of success will almost always outweigh the feeling of failure… but the amount of times we fail will often dwarf the amount of times we succeed. That’s part of the process. That’s where growth happens I'm glad and truly grateful, that i could have a positive impact on their day, It’s the main reason I love speaking… to have impact. It’s why I fundraise… to have impact. It’s the reason I take on challenges… to have impact. #OneStepAtATime Thank you Anthony Cheung Will de Lucy for allow me to speak.Neil Lock liked thisLast night was one of those reminders of why we do what we do We hosted a group of first-year students through upReach at our office, travelling from everywhere between Edinburgh and Exeter, all with one thing in common: ambition. We put them through one of our trading simulations, retracing real market events and stepping into the shoes of a sales trader on a global markets desk. But more importantly, we went beyond the simulation. We spoke about: ↳ What the job actually feels like day-to-day ↳ How to use AI tools properly (not just blindly) ↳ How to prepare effectively for applications We also had an incredible guest speaker, James Golding, world record-breaking and ultra-endurance cyclist, who shared his story and spoke about resilience, courage, and his mantra: one step at a time. It clearly landed. I always ask one question in these sessions: “What’s the most important characteristic of a successful trader?” After asking this hundreds of times globally, this was the first group to get it right first time. 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞. What stood out to me most was this: Students from lower socioeconomic backgrounds instinctively understood the one trait employers consistently tell me matters most. That says a lot. I’m incredibly passionate about what we’re building at AmplifyME, using simulations to identify potential based on performance and helping bridge that gap between untapped talent and opportunity. More to do. But nights like this matter. Shout out to Chloe Waterson for making it happen and Chloe Shepherd for being the spark behind the scenes!
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Neil Lock liked thisNeil Lock liked thisFinished 2nd this weekend at the AI for the Real World Hackathon, hosted by New Enterprise Associates-NEA, Transition Ventures, Operators & Friends, and sponsored by Google DeepMind, OpenAI, ElevenLabs, Encord and Lovable. In five hours we built SafeHome, an app that uses multimodal data to document and act on repair issues in private rentals. You use a camera to create a 3D reconstruction of a room, then take pictures of repair works and pin each image to the exact location within the 3D model. The app tracks how the landlord deals with each request over time and automatically sends follow-up emails with the tone adjusted based on how proactive the landlord has been, citing relevant UK housing legislation. Had the privilege of working with some great teammates Aiyush Gupta and Azka Adziman! Big thank you to Juhana Peltomaa, David Pacák, and Michelangelo Pagliara for organising the event!
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Sreekanth G S
Of all the low cost bare metal or cloud offerings, Hetzner seems to offer the best value for money, decent customer support and good ancillary offerings. Their server auctions give you bare metals at throw away price (if you don’t want great reliability - mostly for dev work, experiments or as a playground) and their cloud offers pretty decent stability (maybe not as good as AWS/Azure/GCP but at par with many other private cloud providers). I’ve tried OVHcloud in the past, and Hetzner beats them in most areas.
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Arjun Varshney
This is what narrowing a problem looks like in practice. Here’s the iteration of previous Hatk deck for my series Inside Product Thinking. After Round 1, we got feedback from the Hatk team, including founder Raunak Hazarika . The next step wasn’t adding ideas but reducing scope. From a PM's lens, the focus shifted to: -validating which post-event problems actually matter -understanding the full product surface (booth + digital) -clarifying where repeat intent could realistically come from This deck captures that narrowing: fewer assumptions, clearer priorities. See You Arjun #InsideProductThinking #ProductManagement #PMIntern #PortfolioInPublic
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Lee Williams
Our new eForms module is now live! It’s a feature born from customer feedback as we worked to make onboarding even smoother. eForms comes packed with features: Single & bulk sending Automated reminders Multiple question types Validation & conditional logic File uploads Even better — it’s available today at no extra cost for all OnboardMe customers. eForms will just consume your requests as other modules in the app do, so you only pay for what you use!
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Maysam Sadeghi
What a fascinating time to be a builder. In my current role, I’m fortunate to see the Software Development Life Cycle across hundreds of teams as they work with Checksum.ai for CI/CD-ready, full end-to-end AI testing. 2026 is going to be a wild! About a year ago, most customers were looking for solutions to augment their QA automation teams as coding velocity was increasing significantly. About nine months ago, customers started asking for solutions that directly augmented their software developers, enabling them to write CI/CD ready end-to-end tests. Recently, customers are asking for solutions that augment their army of coding agents autonomously: AI coding agents working in parallel with AI quality agents as they build features and fix bugs, with developers signing off after quality check has passed. This… is… exciting... 🚀
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Andy Norton
The first event of a new tech Meetup in Blackburn begins on the 20th November from 6pm at Blackburn College with two special guest speakers - 🎙️ James Eastham (Developer Advocate at Datadog, formerly an Architect at AWS) will unpack the trade-offs between serverless and containers, and why the answer isn’t either/or - it’s knowing when to use both. 🎙️ Jaz Chana (ex-Cinch CTO) will share the story of how Cinch pivoted its business model and it’s tech in AWS, launched, and grew into a £1 billion business - and what it really takes to scale fast without breaking everything. Link to register in the comments.
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Pete Love
Great to see this getting wider browser adoption. It’s always bothered me how CSS margins are measured from text’s boundary box instead of the typographical baseline and x-height, and have always resorted to writing mixins to calculate the how much to trim off margins. https://lnkd.in/eUyTRtPc
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Rukmini Reddy
Platform engineering is the future 🚀 Developers are at the core of everything we do at PagerDuty 💚 Our latest collaboration with Spotify for Backstage brings PagerDuty’s industry-leading Incident Management directly into Backstage, the open platform reimagining developer experience. With the new PagerDuty Plugin for Backstage, devs can see incidents, on-call context, and service ownership right where they already work : Less dilution ; More focus. Let’s go 🎉 Read more 👇 https://lnkd.in/gnsq8Nr9
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Matthew Thomas CHIN (Matt) 🇺🇸🇸🇬
"You can't always get what you want You can't always get what you want You can't always get what you want But if you try, sometimes Well, you might find You get what you need" - Rolling Stones (1969) A recent Blocks and Files article highlights a reality many infrastructure teams already know too well: memory and SSD shortages are real, prices are climbing, and availability, not budget, is the bottleneck. WEKA’s NAND Flash Shortage Survival Guide shares practical ways to use existing resources, eliminate bottlenecks, and keep AI moving—without waiting on new hardware. Take a look at the Survival Guide: http://spr.ly/6045h1kIX Read the full article: http://spr.ly/6046h1kIk
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Babak Behzad, PhD
Proud to share this post from Akash Mittal, a brilliant engineer on our team! Learn how Verkada engineered a custom vector database from the ground up, our own inference engine at scale, and a very scalable pipeline to enable natural language search across more than a million cameras. It's awesome to look at all the challenges and innovations behind scaling our AI-powered search for real-world use cases we went through in less than a year! Also stay tuned for the next part coming soon: https://lnkd.in/g6S2zyip
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