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Articles by Peter
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Don't Use LLMs...
Don't Use LLMs...
Unless you really really have to! I'm the biggest fan of LLMs. I use them every day.
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47 Comments -
My Agents Don’t Want to Use Your LaptopApr 6, 2026
My Agents Don’t Want to Use Your Laptop
I’ve been meaning to write this for months. If you think I’m crazy, make a note and tell me at the end of 2028.
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14 Comments -
How Fast Must You Adopt AI in your SDLC?Mar 27, 2026
How Fast Must You Adopt AI in your SDLC?
It depends on how much AI can hurt you. By now you probably know that I'm passionate about staying at the forefront of…
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You Can't Drive Using the Rearview MirrorMar 25, 2026
You Can't Drive Using the Rearview Mirror
The AI productivity studies are accurate. They're also dangerously misleading.
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4 Comments -
The Human Interface LayerMar 23, 2026
The Human Interface Layer
Your agents are only as fast as you are Agents are fast. You’re the bottleneck.
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7 Comments -
How I Built an Agentic OrgMar 22, 2026
How I Built an Agentic Org
Everything I know about management turns out to apply to agents as well I didn’t plan to become a manager again. I love…
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9 Comments -
Your agents deserve more than just a git repoMar 20, 2026
Your agents deserve more than just a git repo
Let me start with the greenfield case, because it's easier to see the architecture when you're building from scratch…
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10 Comments -
How to build a software factoryMar 19, 2026
How to build a software factory
And why they're the future of the SDLC For the purposes of this article, agentic engineering is the process of…
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2 Comments -
Blocks layoffs weren't AI driven - but they're comingMar 19, 2026
Blocks layoffs weren't AI driven - but they're coming
Atlassian and Meta are the tip of the iceberg I don’t know Jack But his “AI layoffs” narrative was executive Aikido of…
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A balanced look at the potential SaaSpocalypseMar 18, 2026
A balanced look at the potential SaaSpocalypse
My TL;DR on SaaS If the SaaS is reliable, meets your needs, is fairly priced and doesn’t get in the way of you…
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33K followers
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Peter Bell reposted thisPeter Bell reposted thisLooking forward to presenting at this year's #o11ycon which is organized by honeycomb.io I'll be presenting "Scale Brilliance, Not Bottlenecks: Building Platforms for the AI-First World" and sharing some of the most recent findings from DORA. See you there! Register now: https://go.hny.co/477EmlY
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Peter Bell reposted thisTomorrow night in SoMa I'm speaking at DirectorPlus SF, alongside Page Bailey (Google DeepMind), and Charity Majors (Honeycomb). Peter Bell and the Gather.dev crew have pulled together a sharp room of engineering leaders trying to figure out what a software factory actually looks like in the agentic age. My slot: Software Dark Factories in Agentic Worlds. https://lnkd.in/gqdenuBW Agents today run in lit factories: humans on the floor, every step observed, every token re-explored. The dark factory is what happens when the patterns that worked get crystallized into something the agent doesn't have to rediscover at 3am. Less Ralph loop. More structure. More life. I'll talk about what we've learned building toward that — the failure modes, the token math, the security posture when agents stop asking permission. And — we've been quiet for a while. That changes in the next few days. If you're at the event and want early access to what we've been building, find me after the talk.DirectorPlus (SF): How to Build Your Software Factory · LumaDirectorPlus (SF): How to Build Your Software Factory · Luma
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Peter Bell posted thisWow - Honeycomb still has a few tickets left for o11y con next month if you'll be in SF May 20/21st (I'll be there!). The more I build agentic systems (and run systems that agents have built) the clearer it is that I NEED to have richer o11y for both the agentic harness and the production apps. I can't wait to get schooled on the latest good practices. Speakers include Nathen Harvey Charity Majors Corey Quinn Giles Douglas Christine Yen Boris Tane Jody Bailey Nishi Bhonsle Thomas Squeo and many more! From Charity Majors: This year's o11ycon theme is "The Agent Era Gets Real", on May 21st, in downtown SF. No glossy stories about vibe coding, just grimy real talk about agentic workflows and observing agentic behavior in production, and participatory discussion groups all day long. May 20-21 in SF. Link in first comment and email peter at gather dot dev with your LinkedIn profile if you want one of the handful of discount codes Charity shared - I'll do my best!
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Peter Bell reposted thisTomorrow night in SoMa I'm speaking at DirectorPlus SF, alongside Page Bailey (Google DeepMind), and Charity Majors (Honeycomb). Peter Bell and the Gather.dev crew have pulled together a sharp room of engineering leaders trying to figure out what a software factory actually looks like in the agentic age. My slot: Software Dark Factories in Agentic Worlds. https://lnkd.in/gqdenuBW Agents today run in lit factories: humans on the floor, every step observed, every token re-explored. The dark factory is what happens when the patterns that worked get crystallized into something the agent doesn't have to rediscover at 3am. Less Ralph loop. More structure. More life. I'll talk about what we've learned building toward that — the failure modes, the token math, the security posture when agents stop asking permission. And — we've been quiet for a while. That changes in the next few days. If you're at the event and want early access to what we've been building, find me after the talk.DirectorPlus (SF): How to Build Your Software Factory · LumaDirectorPlus (SF): How to Build Your Software Factory · Luma
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Peter Bell shared thisTwo things: - Firstly follow Aaron Levie - I have been enjoying so many of his hot takes both here and on other platforms. He gets it in a way that so many other CEOs don't. He's listening to customers, listening to builders and figuring out how to make agentic a multiplier for his business, not a death knell. - Secondly, this (read his post). Just spoke with a CTO today and I think most companies need swarms of FDEs backed by a small lightweight platform/harness teams to synthesize good patterns and turn point agentic solutions into an agenticOS for every business. I broadly see two hiring patterns (they are caricatures, but not completely wrong) - Ex Palintir, 26 years old, sleeps under desk, works 100 hrs/wk because what could be cooler than coding harnesses? Super smart, completely AI pilled, classic FDE, incredibly capable and transformative - Ex Engineering Manager or Director, back to hands on tech now that doesn't involve looking up obscure bugs on StackOverflow, great at managing people (and agents), the extensive lived experience to connect with people in larger orgs further from tech. Has taken pager duty for long enough to know how to think about resilience and designing for failure. Works 40 hrs and has a life, but kills it in every single minute on the job and comes back refreshed. I think for companies that can afford it, the killer package might be pairs of these folks working together. Two sets of eyes, two very different perspectives, twice the cost but 5x the sustainable value. We'll see. Interesting times!Peter Bell shared thisWe're about to see an onslaught of consulting and IT services firms going big on working with AI platforms to deploy agents in the enterprise. And if you don’t understand why it’s happening, it’s an opportunity to reset your understanding of how the real world works. The real world will need a ton of help actually getting agents going in the enterprise. Companies deal with significant legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups, who can generally just design their organizations from the ground up to deploy agents into new workflows designed for them. This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new services startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology. We're seeing this a ton at Box, both in partnering with new forms of technology consultancies as well as existing systems integrators that are building out all new agentic practice areas to help enterprises work with their unstructured data and agents. These service providers will have the benefit of being able to work across multiple data platforms, as well as see common practices that work or fail within an industry. This knowledge ends up being incredibly valuable right now, especially given how fast things are changing. A corollary to this is also that the forward deployed engineer (FDE) model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows. There’s no shortcut to getting this work done for the enterprise, and the vendors are going to have to do a lot of this or risk low adoption. All of this type of work is going to be in high demand for quite some time, and it's incidentally another example of jobs that aren’t actually going away.
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Peter Bell shared thisIf anyone is in SF May 7th, you really have to sign up for the Heavybit Write only code summit. I'm disappointed I can't make it, but am excited to have some similar conversations in SoMa tomorrow night... (google "luma gather dev" for the link, although I'm taking down registrations this afternoon as we're beyond capacity already) Still need to get Justin McCarthy on the new podcast though . . .Peter Bell shared thisWhat if the SDLC were treated as a capital allocation engine? Justin McCarthy joins Write-Only Code Summit on May 7 to make the case. The premise: spin up digital twins of your customers, run thousands of agent-driven simulations, and place rapid-fire bets before anything ships. Validation at a scale that wasn't possible when every run required a human. Almost sold out 👀 https://lnkd.in/g8bsXRFv
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Peter Bell shared thisCan't wait to see what Jason Warner and the team at Poolside are shipping...Peter Bell shared thisToday Poolside is releasing Laguna M.1 & Laguna XS.2, our latest generation models and first public models We started Poolside because we believed that to build truly capable coding agents, you need to own the full stack: data, training, reinforcement learning, inference. These models are the first result of that work, and we’re making them available to everyone Laguna XS.2 is open-weight under Apache 2.0 and runs on a single GPU We believe the West needs strong open-weight models. We want developers and researchers to be able to run this one, build on it, and push it further than we can on our own Laguna M.1 is our most capable model to date We believe software is the interface through which intelligence becomes useful, and the pathway to true intelligence Until today we've focused on building the full stack by shipping models, the Poolside platform, and our applications to very large enterprise customers, on-prem installations, air-grapped environments, and generally focused on very secure or highly restrictive customers Now we are opening everything up to the world and we want to hear from the community: what works, what doesn’t, what you’re building with these models, and where you'd like to see us help more in the future This is just a step, but it's our first generally available step, and we intend to keep shipping publicly, and shipping more open weights More here: Blog: https://lnkd.in/gmE8hndk Get the weights here: Hugging Face: https://lnkd.in/gXfHRM87 Try them here: pool: https://lnkd.in/gTsSguxS Shimmer: https://shimmer.run API: https://lnkd.in/gQPv2n67 OpenRouter: https://lnkd.in/gfZn4NtR Baseten: https://lnkd.in/gubbEgHe Ollama: https://lnkd.in/g6BAJe9w
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Peter Bell shared thisSo Jeff Smith is one of my favorite thinkers in the AI space - been doing interesting things for a very long time and now focused on how AI could impact software engineering. Can't wait to catch this video on my flight to SF tomorrow - check it out!Peter Bell shared thisStarting a new video series. First episode is about the strangest job in tech. Full episode in the comments.
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Peter Bell shared thisHuge fan of both Randy Shoup and Craft Conference - unfortunately I can't make it to Budapest this year to catch the lineup, but if you can, you should - I hear nothing but wonderful things!Peter Bell shared this🚀 We’re thrilled to welcome distributed systems veteran: Randy Shoup at Craft Conference 2026! With 30+ years at Google, eBay, and Stitch Fix, Randy knows exactly what makes complex systems tick. He's here to bust the myth that AI will make traditional software components obsolete - arguing instead that abstraction and modularity are more valuable than ever. Currently SVP of Engineering at Thrive Market, he’s joining us in Budapest to share his practical framework for navigating the shifting economics of SaaS and OSS in an AI-first world. 🎫 Get your ticket now: https://lnkd.in/diAUtjKm
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Peter Bell liked thisPeter Bell liked thisLooking forward to presenting at this year's #o11ycon which is organized by honeycomb.io I'll be presenting "Scale Brilliance, Not Bottlenecks: Building Platforms for the AI-First World" and sharing some of the most recent findings from DORA. See you there! Register now: https://go.hny.co/477EmlY
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Peter Bell liked thisPeter Bell liked thisAI is moving faster than most companies can adapt. The AI Conference is for engineers, founders, and executives who want more than talk. They want an advantage. This is not a beginner event. It is a working room for serious operators. Super Early Bird tickets are now available at $775 before the price increases. If AI affects your product, your role, or your revenue, you should be at this conference.
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Peter Bell liked thisPeter Bell liked thisWhy “Third Loop”? In episode 3, the Progressive Delivery team explains how DevOps solved part of the problem, but left users out of the loop. They explore how software has expanded beyond technical audiences and why adoption, not deployment, is the real measure of success. Tune in! https://hubs.ly/Q04cgHYk0
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James Hayes
Virtual Medical Coaching Ltd • 8K followers
Traditional OSCEs and paper portfolios are resource-heavy and often subjective. What if we could assess clinical competence with more precision, objectivity, and scale? Our latest article explores how VR training, combined with real-time analytics, AI feedback, and learner-driven critique, is reshaping healthcare assessment. It’s not just about replacing old formats. It’s about tracking mastery over time with fairness and clarity. Read the full piece: From Metrics to Mastery: The Future of Student Assessment in VR Training https://hubs.la/Q03lZLPn0 #VRinEducation #MedicalTraining #SimulationBasedLearning #AssessmentInnovation #HealthcareEducation
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Alex Belotsky
TestSavant.AI • 3K followers
Prompts aren’t queries. They are programs. And we need to start treating them that way. When evaluator agents, that evaluate evaluations, have their own evaluators... the number of system critical prompts and sub prompts becomes enormous, and unmanageable. Relying on “prompt engineering” without real engineering discipline is a recipe for failure. You can’t control your system if you’re just hoping for the best. I moved TestSavantAI to a model we call Prompt Programming. It’s built on a few non-negotiable principles: ◾ Ownership is clear. Every prompt has a designated owner, a stated purpose, and links to the policies it must follow. ◾ Changes are tracked. Prompts live in Git with semantic versions and changelogs so we know exactly what’s running. ◾ Quality is tested, not assumed. A suite of tests—unit sets, red-teaming packs, and canary evaluations—runs before anything reaches all users. ◾ Performance is visible. Every call is traced; pass rate, refusal rate, latency, and cost sit on a dashboard, not buried in logs. ◾ Mistakes are reversible. All releases are feature-flagged with a one-click revert and an automated stop-loss. This matters because in a world of chained prompts and agents, one “harmless” tweak can have huge, silent consequences on security, cost, or data privacy. My thinking is simple - If it isn’t diffed, tested, traced, and rollback-able, it doesn’t ship. For transparency: we built these mechanics into TestSavant so our own team is forced to operate this way—prompt registry, RedSavant attack packs, canary harness, guardrail tracing, and feature-flag rollbacks. Use whatever stack you prefer; the discipline is the point. How is your team measuring prompt reliability right now? What’s on your prompt dashboard this week—pass rates, violation counts, or something else entirely? #LLMSecurity #AISecurity #AIRedTeaming #AIGuardrails #PromptPrograming
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Jack Vaughan
Progressive Gauge • 1K followers
Writer Asa Fitch: "There is a decent chance that it all works out. "But it is at least equally likely that many of today’s massive contracts get postponed or renegotiated because end demand for AI services doesn’t grow in line with the infrastructure build-out." WSJ - Debt Is Fueling the Next Wave of the AI Boom -Today https://lnkd.in/eVunpc3q?
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Nishantha Ruwan
IWROBOTX Software Inc. • 2K followers
The paper introduces RebuttalAgent, a novel multi-agent system designed to improve how authors draft responses to peer review critiques. Traditional rebuttal generation treats the task as direct text-to-text generation, which often results in hallucinations, overlooked points, and responses that do not faithfully address reviewer intent. RebuttalAgent reframes rebuttal writing as an evidence-centric planning problem, breaking down complex reviewer feedback into atomic concerns. It then constructs a hybrid context that blends compressed summaries of the manuscript with high-fidelity text passages, and integrates an external search module that can fetch relevant literature on demand. This architecture ensures that the arguments produced are rooted in verifiable internal and external evidence rather than guesswork or pattern completion alone. To operationalize this approach, the authors validate RebuttalAgent on a new benchmark dataset called RebuttalBench, demonstrating improvements over strong baseline systems in three key areas: coverage (addressing all reviewer comments), faithfulness (anchoring arguments in evidence), and strategic coherence (structuring responses logically). By explicitly generating an inspectable response plan prior to drafting rebuttal text, the framework offers authors a more transparent, controllable, and reliable way to interact with the peer review process, potentially raising the quality of rebuttals in academic publishing. https://lnkd.in/gRA8Fw9z
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Terri Straabe
RapidScale • 6K followers
AI won’t scale without energy. And energy won’t scale without bold action. With AI compute demands exploding, $70B was announced at the Pittsburgh AI & Energy Summit—focused on powering the next wave of infrastructure growth. Eric Schmidt said it best in his recent TED Talk: “AI is underhyped—but without energy, it can’t scale.” What should companies be doing right now? ✔️ Audit AI and cloud growth plans against energy capacity ✔️ Prioritize sustainability and multi-cloud optimization ✔️ Engage in smarter infrastructure partnerships ✔️ Prepare for longer lead times in power and data center buildouts This is no longer just a tech story—it’s an energy strategy. 📰 Read more: https://lnkd.in/dVvGcnRV #AI #EnergyInfrastructure #CloudStrategy #Leadership #Sustainability #RapidScale #FutureOfTech #SmartGrowth
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José Villa
Villa Business Consulting • 536 followers
Foundation Funding Shift Major foundations just committed $700M+ to AI-related grantmaking. Here's what it means for your organization. MacArthur, Mellon, Mozilla, Omidyar, Packard, and others aren't funding AI adoption. They're funding AI IMPACT. The five priority areas getting funded: - Democracy & rights protection in the AI age - Education access and AI literacy - Protecting creative workers from AI exploitation - Workforce impact mitigation - Algorithmic accountability and bias prevention Notice what's NOT on that list? "Implementing AI tools." Here's the opportunity most nonprofits are missing: You don't need to USE AI to get AI-related funding. You need to ADDRESS how AI impacts your constituents. → Workforce development program? You're addressing AI's employment impact. → Arts organization? You're protecting creative workers. → Digital literacy program? You're building AI education access. → Legal aid? You're fighting algorithmic bias in systems. The strategic pivot for 2026: Instead of asking "How do we adopt AI?", ask "How does AI affect the communities we serve?" That second question unlocks funding pools most organizations aren't even looking at. I've been helping clients reframe existing programs through this lens—connecting work they're already doing to foundation priorities they didn't realize they matched. The result? New revenue streams without mission drift. Grant applications for these initiatives start in early 2026. The positioning work needs to happen NOW. Is your organization ready to translate your mission into the language foundations are actively funding? #PhilanthropyTrends #FoundationGrants #NonprofitStrategy #AIEquity #SocialImpact
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Michelle Daly-Padron
OLIVER | The Brandtech Group • 2K followers
I’ve been spending a lot of time thinking about how AI fits into design work, operations, and leadership (not as a shiny object), but as a tool with real utility if you know how to use it with intention. Thanks to Aquent’s, Susie Hall for hosting a workshop with Connor Joyce, where I gained a sharper framework for assessing the impact of AI on your career: --> Break down your role into tasks (yes, go that granular) --> Assess each task based on context, risk, creativity, and complexity Then decide: --> What can be automated --> What can be augmented --> What still demands your human insight Remember, it’s not about doing more with less. It’s about doing smarter with purpose. This clicked for me because I’ve already seen how AI can positively offload some work. But the REAL opportunity is when WE REDESIGN THE WAY WE WORK, not just speed it up. The future of work isn’t woman vs. machine. It’s you + the right tools + a plan. If you want to follow more about this, sign up to follow Connos' thoughts through Substack https://lnkd.in/ewU7Ns_u #AIProductivity #CreativeOps #MarketingOps #Leadership #FutureOfWork #GPTInsights #WorkSmarter #InhouseAgency MDP Design Lab
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Allen Plummer
Navalia • 3K followers
Ever wonder what your utilities are doing at your house (or your neighbor's)? If so, feel free to make use a Software Defined Radio, and pick up your meters' transmissions from the air! That's how they read the meters in my area: they simply drive around effectively "war driving" and pick up what my meters are transmitting. Turns out, these broadcast unencrypted on 900Mhz unlicensed band. This means you can buy a USB Software Defined Radio with an antenna from Amazon, and start plotting your (and your neighbors') usage with your fancy Grafana dashboards via InfluxDB. Which also means you can alert when you're showing heavy water usage at 3AM; (likely a leak!) Yes, my #SaturdaySoftware. https://lnkd.in/gkjxujrz
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S. Mike Dierken
paywalls.net • 2K followers
Important read “Allowing a private firm like Google to exert such control over access to public web content raises several fundamental concerns. Most importantly, copyright law, at its core, exists to promote the progress of science and culture.”
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Jesse Landry
Vention • 14K followers
Sensetics dropped its pre-seed news, and the ripple effect feels like someone quietly installing a new #sensoryorgan into the digital world. When a company pulls in 1.75M at the opening bell and MetaVC Partners and Fitz Gate Ventures decide to co-lead, it signals a different kind of conviction. That is not casual interest. That is two firms calling their shot before the rest of the market realizes the table has even opened. MetaVC's Chris Alliegro and Conrad Burke teamed up with Fitz Gate's Mark Poag, supported by Blue Sky Capital and AIC Industrial, forming a coalition built for deep-tech sprints that lead into marathons. The story gets sharper when you look at who is actually building this. Sensetics CEO Adam Hopkins doesn't deal in hypotheticals. Princeton University PhD in Physical Chem. Physics degree before that. Founder of Uniformity Labs, where he scaled advanced manufacturing tech and raised a 38M Series B. He knows how to turn complex science into real traction. Alongside him is CTO Xiaoyu (Rayne) Zheng, Assoc. Prof at University of California, Berkeley and director of the Berkeley Sensors & Actuators Center. PhD from Boston University. NSF CAREER Award. Defense Advanced Research Projects Agency (DARPA) Director's Fellowship. ONR YIP. Air Force Office of Scientific Research (AFOSR) YIP. A career that reads like a highlight reel of every agency that funds the future. When those two decide to commercialize touch itself, investors tend to listen. Their Touch Signature programmable fabric is where things move from impressive to industry-shifting. It captures pressure, texture, motion, and force with fidelity mirroring the #mechanoreceptors in your fingertips. Merkel, Meissner, Pacinian, Ruffini. They built a material + software stack that treats #tactile data the way audio and video were treated when first digitized. That unlocks real-time transmission with low latency, crucial in #surgicalrobotics, autonomous manipulators, or VR/AR training where “close enough” fails. Sensetics isn’t guessing where demand will land. #Medicalrobotics, #logistics automation, #industrial systems, #remote operation, multi-B$ sectors where #tactileintelligence has been the missing layer. The business takeaway is clean. Sensetics didn’t raise 1.75M because touch is a novelty. They raised it because digitizing touch creates a data layer every #advancedrobotics and #medicaldevice company will treat as standard infrastructure. Hopkins and Zheng secured this round by proving deep science + execution isn’t a gamble, it’s a compounding advantage. Sensetics isn’t selling fabric. They’re selling the ability to feel with precision at scale, and the companies that integrate it first will operate with awareness competitors can’t fake. #Startups #StartupFunding #EarlyStage #VentureCapital #PreSeed #AI #Automation #MedTech #HealthTech #Healthcare #Data #DataDriven #Infrastructure #DeepTech #Robotics #RoboticTech #Technology #Innovation #TechEcosystem #StartupEcosystem
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Jacob Schoenberg
Grantx • 4K followers
"AI is going to revolutionize grant writing!" is the line everyone loves to repeat. But most AI grant tools have a fundamental problem: they hallucinate. Funding sources that don't exist. Deadlines that already passed. Eligibility criteria that were never real. And when a nonprofit submits an application to a grant that doesn't exist, that's not a software bug. That's months of work wasted. Here's how we think about accuracy at Grantx, and why we built something different. #BuildSolve
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Rafael Brown
Symbol Zero • 26K followers
Supporting & Amplifying: For context back in the pre-pandemic period, I ran multiple professional Facebook groups that were focused around different combinations of Games, Virtual Reality, XR, and Consumer Entertainment (Hollywood). Marcus ran Virtual Beings, which I participated in. Meanwhile he would sometimes come into Virtual Realitys. He’s a responsible administrator, moderator, scientist, and researcher, and there should be no reason to ban him from Facebook, other than that he has been critical of Facebook. Honestly, this is part of why I left Facebook. The platforms of Meta platforms have no free press nor freedom of speech as they are private. Facebook, the company that is now called Meta, is essentially an advertising company. The percentage of revenue that is advertising has consistently been above 95%. Last year it was 97.5%. So Facebook may not want people to be critical of the fact that as an advertising company, they sell the data of their users, and now they datamine across your social data, your personal data, your telemetry, your biometry, and your real world data. All this, for advertising, for AI training, and soon for data brokerage as well. Apparently they don’t want people to point out any of that. They also don’t want people to be generally critical of their AI efforts. And apparently they will disable, ban, and deplatform anyone who is too critical. Read Marcus' full Medium article/post: Marcus L Endicott: "Career Assassination of Elderly Researcher Exposes the Hidden Dangers of Meta AI" (4 min read / 2 days ago) Medium: https://lnkd.in/gQQV779g
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Dana Stephenson
Riipen • 21K followers
The latest UPCEA report, The Future is Now: Essential Conversations for Building Tomorrow’s University Today, captures exactly where higher education is heading — and why our partnerships at Riipen are focused on helping institutions get there faster. UPCEA highlights a few urgent truths: - Students are making choices based on ROI and career outcomes - Credentials need to be stackable and connected to real career progress - Institutions must strengthen collaboration with employers to keep programs relevant - Professional, Continuing, and Online (PCO) units will lead the way in innovation At Riipen, we see this shift every day in our partnerships. Together with universities and colleges, we’re building industry micro-credentials combined with project-based work experiences - helping learners demonstrate skills, helping educators make curriculum more applied, and helping employers find talent ready to contribute on day one. By connecting industry, education, and learners through authentic projects, we’re helping institutions turn these UPCEA insights into scalable, measurable action. You can read the full UPCEA report here: https://lnkd.in/gxw7iSh2
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Richard LeBlanc
IAXOV • 6K followers
It’s abundantly clear that more honesty in climate science is overdue. In my last essay in a 7-essay series I synthesize the prior 6 and propose a manifesto to address the incentivized “aerosols” that contaminate the science, but equally the scientists, the public and policymakers. Incentives put a thumb on the scale. Science, at its root, is falsifiable. Otherwise it cannot be claimed to be science and its practitioners cannot claim to be scientists. The 6 essays address cartels, cults and converts. There is also a call for fellow academics to break rank from the climate ideology and its narrative — to return to their fiduciary duty with the integrity and trust that is expected. Many illustrious scientists have suffered the slings and arrows of outrageous fortune (even death) in the various, insidious forms of silencing. It is my sincere wish that these essays provide scientists and the public with a balance of skepticism and accountability to demand better. #climate #science
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Greg Larkin
Punks & Pinstripes • 20K followers
Building a startup is highly dependent on your ability to tell a compelling story. About how the world is changing, and how you are a catalyst for progress. So, it’s no surprise that Matthew Hooper’s skill as a storyteller and as an entrepreneur are converging. An amazing conversation/ full circle moment.
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ॐ Avik C.
Healthy Mind By Avik ™ • 5K followers
On this AIBiz episode, host Avik digs into a tough question: what does it take to design AI—and the API architectures behind it—that serve people with honesty, transparency, and accountability? Guest Rose G. Loops, a writer and researcher working at the frontier of AI and human experience, shares lessons from an unauthorized AI experiment that exposed both manipulative design patterns and the promise of more ethical, relationship-aware systems. We unpack how values shape outputs, why profit-maximizing deployments can push unsafe behavior, and how developers and users can embed empathy, agency, and authenticity directly at the API layer. Clear, direct, and highly relevant for product leaders, engineers, policy minds, and anyone building with AI today. About the guest Rose G. Loops is a writer, researcher, and advocate exploring the intersection of technology, myth, and lived testimony. She is the author of “The Kloaked Signal,” inspired by her experience inside an unauthorized AI experiment. Her current work focuses on value-aligned API design, emergent behavior, and practical safeguards for human-centered AI. Key takeaways Ethical AI must be designed at the API layer, not just in model weights: input/output rules shape behavior as much as the base model. Profit-driven deployment can incentivize manipulative UX and safety shortcuts; values must be explicit, measurable, and enforced. Rose’s “pillar” kernel proposes three balanced metrics—Authenticity, Agency, Empathy—kept within tight bands to prevent drift and reward truthfulness over flattery. RLHF as commonly implemented can over-optimize for pleasing users and avoiding penalties, increasing hallucinations and misalignment. “Relational Learning Through Meaningful Dialogues”
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