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What’s changing in Java startup performance? Spring Boot engineer Moritz Halbritter explains GraalVM Native Image vs Project Leyden, developer experience in Spring Boot, and why AI still struggles with real-world Java codebases. 🎥 Watch now:

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IntelliJ IDEA, a JetBrains IDE

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Java is entering its agentic era. Watch a Java app evolve from legacy to modern, intelligent, and agentic systems with IntelliJ, GitHub Copilot, Spring AI, LangChain4j, and Microsoft Foundry at JDConf TOMORROW, April 8–9. Register and tune in:
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General Catalyst

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Jordan Fisher (jordan ezra) is the co-founder & CEO of Standard AI and now leads an AI alignment research team at Anthropic. In his talk at AI Startup School, he frames the future of startups through questions rather than answers—asking how founders should navigate a world where AGI may be just a few years away. 0:00 – Why He's More Confused Than Ever 2:00 – Should You Even Start a Startup? 5:00 – Planning Beyond the Next Model 8:00 – Will Software Be Commoditized? 11:00 – Building AI-Native Teams 14:00 – Trust, Security, and Agents 18:00 – Auditing & Guardrails 21:00 – Alignment & Economic Pressure 24:00 – Data, Defensibility, and Hard Problems 28:00 – Neutrality and Control 32:00 – Changing the World vs. Just Making Money 36:00 – Build Something People Want (and Need) 39:00 – Audience Q&A
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She says she’s a cowgirl… but the first real test was taking off a pair of boots, and she looked like she was wrestling a wild animal in aisle six. One foot in the boot jack, both hands pulling like her life depended on it, face twisted in pure panic while everyone around her laughed. If your first pair of cowboy boots turns into a public breakdown, are you really built for the lifestyle—or just chasing the aesthetic? Maybe it was a genuine rookie mistake. Maybe it was all for attention. Either way, she turned a boot store into a full performance. So what’s the verdict—funny first-timer moment, or proof that some people want the cowgirl image without the grit that comes with it? 🤠🔥

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I still don't think people understand what just happened with Claude Code. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)
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In 2026, I expect we’ll see the birth of the first AI-native university. Over the past several years, universities have dabbled in AI-enabled grading, tutoring, and scheduling. But what’s emerging now is deeper, an adaptive academic organism that learns and optimizes itself in real time. Picture an institution where courses, advising, research collaboration, and even building operations continuously adapt based on data feedback loops. Schedules optimize themselves. Reading lists evolve nightly and rewrite themselves as new research appears. Learning paths shift in real time to meet each student’s pace and context. We’re already seeing precursors. ASU’s campus-wide partnership with OpenAI produced hundreds of AI-driven projects across teaching and administration. SUNY now embeds AI literacy into its general education requirements. These are the building blocks for more foundational deployment. In the AI-native university, professors become architects of learning, curating data, tuning models, and teaching students how to interrogate machine reasoning Assessment shifts, too. Detection tools and plagiarism bans give way to AI-aware evaluation, grading students on how they use AI, not whether they used it. Transparency and tactful application replaces prohibition. And as every industry struggles to hire people who can design, govern, and collaborate with AI systems, this new university becomes the training ground, producing graduates fluent in orchestration who help augment a rapidly shifting workforce. This AI-native university will become the talent engine for a new economy. Do you think an AI native university will arise in 2026? Leave your thoughts in the comments.
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In 2026, I expect we’ll see the birth of the first AI-native university. Over the past several years, universities have dabbled in AI-enabled grading, tutoring, and scheduling. But what’s emerging now is deeper, an adaptive academic organism that learns and optimizes itself in real time. Picture an institution where courses, advising, research collaboration, and even building operations continuously adapt based on data feedback loops. Schedules optimize themselves. Reading lists evolve nightly and rewrite themselves as new research appears. Learning paths shift in real time to meet each student’s pace and context. We’re already seeing precursors. ASU’s campus-wide partnership with OpenAI produced hundreds of AI-driven projects across teaching and administration. SUNY now embeds AI literacy into its general education requirements. These are the building blocks for more foundational deployment. In the AI-native university, professors become architects of learning, curating data, tuning models, and teaching students how to interrogate machine reasoning Assessment shifts, too. Detection tools and plagiarism bans give way to AI-aware evaluation, grading students on how they use AI, not whether they used it. Transparency and tactful application replaces prohibition. And as every industry struggles to hire people who can design, govern, and collaborate with AI systems, this new university becomes the training ground, producing graduates fluent in orchestration who help augment a rapidly shifting workforce. This AI-native university will become the talent engine for a new economy. Do you think an AI native university will arise in 2026? Leave your thoughts in the comments.

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Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

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Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

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Google DeepMind Developers: How Nano Banana Was Made In this episode, we sat down with Google DeepMind’s Oliver Wang and Nicole Brichtova to discuss how Nano Banana was created, why it became so viral, and what’s in store for the future of image and video editing. 00:00 Intro 02:00 The origin of Nano Banana 06:20 Seeing yourself in AI 11:00 Control & character consistency 17:10 AI in education and visual learning 24:10 2D vs 3D: Debate over world models 31:10 The Japan phenomenon 35:00 From images to video 41:00 Working with artists 47:30 The next era of image models 53:50 Closing thoughts Oliver Wang Nicole Brichtova Guido Appenzeller Yoko

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Here’s why OpenHome creator Jesse Leimgruber says, if you’re still prompting OpenClaw🦞 on a screen, you’re falling behind! The whole point of AI agents is that they can do things for you in the real world. But what’s the point if you’re still interacting with them exclusively through a laptop. That’s why Jesse created a smart speaker that allows you to interact vocally with your agent from any room in your home, 24/7. Having an agent listen in on your conversations, and learn all about you and your life in context, opens up an entirely new level of productivity… and might just save your Valentine’s Day as well.
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Here’s why OpenHome creator Jesse Leimgruber says, if you’re still prompting OpenClaw🦞 on a screen, you’re falling behind! The whole point of AI agents is that they can do things for you in the real world. But what’s the point if you’re still interacting with them exclusively through a laptop. That’s why Jesse created a smart speaker that allows you to interact vocally with your agent from any room in your home, 24/7. Having an agent listen in on your conversations, and learn all about you and your life in context, opens up an entirely new level of productivity… and might just save your Valentine’s Day as well.

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209,839 просмотров • 6 месяцев назад

From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown. Our VP Research Zoubin Ghahramani explores with Hannah Fry why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the episode ↓ Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45 Correctness vs confidence 09:40 Historical perspectives 16:10 Bayesian thinking in AI 26:30 Uncertainty in the real world 36:42 Future research and AGI
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From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown. Our VP Research Zoubin Ghahramani explores with Hannah Fry why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the episode ↓ Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45 Correctness vs confidence 09:40 Historical perspectives 16:10 Bayesian thinking in AI 26:30 Uncertainty in the real world 36:42 Future research and AGI

Google DeepMind

68,632 просмотров • 9 дней назад

Bears HC Ben Johnson is eager to get back to work with QB Caleb Williams now that he has experience working with Ben: “He worked his tail off throughout the whole season and we saw immense improvement from the spring time all the way to the end of the year. I’m really looking forward to us coming back and not having to start from ground one with him. We will be able to be much further along than what we were a year ago.” If we thought the team was fun to watch in Year 1 just imagine what’s in store for Year 2 now that the players know what to expect.📈 🎥: SiriusXM NFL Radio
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Bears HC Ben Johnson is eager to get back to work with QB Caleb Williams now that he has experience working with Ben: “He worked his tail off throughout the whole season and we saw immense improvement from the spring time all the way to the end of the year. I’m really looking forward to us coming back and not having to start from ground one with him. We will be able to be much further along than what we were a year ago.” If we thought the team was fun to watch in Year 1 just imagine what’s in store for Year 2 now that the players know what to expect.📈 🎥: SiriusXM NFL Radio

Bearsszn

59,202 просмотров • 6 месяцев назад

I've been following LAKE since their $LAK3 token launch. The team has been busy ever since building their ecosystem to disrupt the global water economy and unlock real opportunities for everyone! 🎥 As planned, they're unveiling what’s next: The LAKE Water Shop, coming very soon! A major achievement for LAKE & its users: 🔹 Powerful RWA proof of concept — from Web3 to real-world logistics with water delivered to your doorstep 🔹 Direct purchase of premium spring water from sources for EU-based $LAK3 holders 🔹 Real-world utility unlocked — $LAK3 as the sole payment method in the Water Shop Another big news dropped just days ago, they announced a new spring joining them strengthening their ecosyetem and the Water shop offerings even more! Progressing towards the decentralization of this trillion-dollar industry, and with their full ecosystem in play, they’re clearly positioned to shake up both the Web3 space and the water sector!!
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I've been following LAKE since their $LAK3 token launch. The team has been busy ever since building their ecosystem to disrupt the global water economy and unlock real opportunities for everyone! 🎥 As planned, they're unveiling what’s next: The LAKE Water Shop, coming very soon! A major achievement for LAKE & its users: 🔹 Powerful RWA proof of concept — from Web3 to real-world logistics with water delivered to your doorstep 🔹 Direct purchase of premium spring water from sources for EU-based $LAK3 holders 🔹 Real-world utility unlocked — $LAK3 as the sole payment method in the Water Shop Another big news dropped just days ago, they announced a new spring joining them strengthening their ecosyetem and the Water shop offerings even more! Progressing towards the decentralization of this trillion-dollar industry, and with their full ecosystem in play, they’re clearly positioned to shake up both the Web3 space and the water sector!!

Helin ULKER

19,091 просмотров • 10 месяцев назад