DevS

If I were a college career counselor or in career services, I’d quickly be figuring out how to get students to understand these forward deployed engineer jobs exist and how to get them. The requirements are a mix of deep technical skills, often CS majors or minors. You must be great at understanding problem solving, how to have systems thinking, and have a strong business acumen. The kicker, of course, is to make sure you’re very deep in AI agents; you need to have fluency in coding agents, MCP, CLIs, Skills, and so on. Hundreds (thousands?) of technology companies will be hiring for these roles, same with any consulting and IT services company, and the vast major of mid-size and large enterprises will be hiring for this talent internally as well. One great example of opportunity for highly technical talent out there.

Vercel's AI Gateway gives us a glimpse into real-world production AI and Agents usage. Google is king of production scale, Anthropic dominates in coding & spend, OpenAI is growing fast since 5.4, and OSS continues to gain ground. The AI race is a lot more fluid than it looks :)

There are a lot of humanoids lately! 🤖 But KUKA showed a very different approach, and honestly, it feels much closer to how factories actually operate today. Thsi setup uses three robots operating simultaneously, coordinated through an AI-based vision system. One shared “eye”. Multiple coordinated robots. Vision, motion, and reach are synchronized across the entire cell, allowing the system to handle mixed products and changing inputs without slowing down. The deployment angle matters too. The whole system is designed as a mobile, modular setup integrated with AMRs, meaning the automation can move with the process instead of forcing the process to adapt to a fixed robotic cell. That’s a quite practical approach. Because in real factories, workflows change constantly, so flexibility matters as much as capability. This is why I don’t think the conversation should be “humanoids vs traditional robotics.” What we’re actually seeing is multiple automation archetypes emerging at the same time. And for high-throughput industrial environments, coordinated multi-robot systems like this are becoming a very strong option. Cool system captured at the tradeshow. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

If you want more LIVING DAYLIGHTS, check out our chat with Kara Milovy herself, Miss Maryam d’Abo: pod.fo/e/13b86f

How Could AI Ease the Friction in Cross-Border Payments? Read more: fintechnews.sg/130728/ai/lian… #fintech #AI #payments #crossborderpayments

OpenAI reportedly allowed more than 600 current and former employees to sell shares in a recent financing round, collectively cashing out about $6.6 billion. Each person could sell up to $30 million worth of stock, with about 75 employees reportedly hitting that maximum. The sale happened before any IPO, showing how much private AI companies can now create life-changing wealth without ever going public.

Endava Works With NETS and PayNet on Nexus’ Cross-Border Payments Architecture Read more: fintechnews.sg/130401/payment… #fintech #payments #crossborderpayments @endava

Unitree G1 is an insane skater 🛼🔥 #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0 @EvanKirstel @RLDI_Lamy @Analytics_699 @Khulood_Almani @tewoz @chidambara09 @IsabellePiel29 @ClementIsa @SvetBnov @mallys @jeancayeux @aure79lien @EricTIXADOR @thierry_pires @DanielleLargier @CurieuxExplorer @DigitalColmer @nincoroby @Guillaume_Rio @CecileGauffriau @MadiSeydi @DataScienceDojo @KirkDBorne @dhinchcliffe @jeffkagan

Paul Weston was set to double for Jaws in MOONRAKER… until they realised they didn’t have the teeth! So Paul improvised a set himself using half an orange and some tin foil, and the rest is #JamesBond movie history! Hear the full story ⬇️ 🎧 pod.fo/e/40dcba

someone just shipped a whole brand ecosystem with my GxC Article 👀 > took my Article > turned it into a brand guideline > designed a website > used Claude Design for final magic > shared all the tools in the thread Steal his workflow below Grab all the prompts in my pinned 📌

Singapore Pushes SGX Nasdaq Dual Listing Bill to Ease Cross-Border IPOs fintechnews.sg/131267/fintech… #fintech #singapore

The trick is seeing opportunity before everyone else. Robotics, Hardware, that whole sector will be larger than anything we’ve ever seen. Just the beginning, that’s why I purchased robotize on IG.

AI is going mobile incredibly quickly Charts of the Week: a16z.news/p/charts-of-th…

A tidal wade of vibecoded apps is hitting the app store a16z.news/p/the-ai-job-a…

Still the craziest before and after AI chart of all time.

The first LLM with a 12M token context window 🤯 Most people don't realize how monumental this is... SubQ just improved the size context windows. Most agents get cooked and start screwing up as the context window gets larger. But the entire economic model could flip: Because building agents that are smart, fast and affordable just became possible.

The largest opportunities of the next decade are in education. So many things to build. e.g. - bootcamps upskilling knowledge workers - AI enablement for design, product, sales - teaching blue-collar workers how to use AI - empowering people to become entrepreneurs with AI - teaching managers how to manage with and around AI - trust & safety training to help people id fraud, phishing, deepfakes Surprised to not see more initiative here. The ones I'm familiar with: @audos_com @AlphaSchoolATX Who else is building in this space?

Great results. Amazing , thx for joining us today

The new innovator’s dilemma A founder told me about meeting with the CEO of a large vertical software company. She walked away realizing he was in a tough place: to fully harness AI in his hero product would mean automating the core work of its customers, eventually rendering them irrelevant. The classic innovator's dilemma is about business model disruption: how hard it is to cannibalize your own cash cow as cheaper alternatives undercut you from below. Maybe the innovator's dilemma in the AI age is when a company's product and customer are suddenly in conflict. Build the best possible solution, and you eventually have far fewer customers to sell into, or have to start selling to your customers' customers instead. This is a big opportunity for early stage founders: which incumbents are structurally unable to build the best version of their product without disrupting the customer they've historically sold into? And without those constraints, who is the new customer?

Meta's DAUs just dipped for the first time since 2021 More charts: a16z.news/p/charts-of-th…