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Our room for the coming days in Houston. I don’t even know what to say about this. This is just unreal. No words. Huge huge thank you to JJ Watt for giving me and my friends the opportunity to stay at a place like this🙏🙏🙏

xAI’s development of artificial intelligence is “a mess”, Co-Executive Editor @mvpeers says. “Elon has fired most of the people who he originally hired at xAI." "He has a tendency to set unrealistic deadlines. And when they're not met, he just fires people.”

UNREAL: 🇺🇸 Goldman Sachs sees SpaceX's AI revenue soaring from $3.2B in 2025 to $322B by 2030. That's a nearly 100x increase and a major driver behind its projected $1.78T IPO valuation. By 2030, Goldman expects SpaceX to generate $474B in total revenue. AI would contribute $322B, Starlink $144B, and launch services $8.3B. The bank also forecasts EBITDA reaching $352B by 2030. These estimates depend on aggressive AI growth assumptions. Absolutely insane.

A low bid is not a low bill. Customers pay the final bill, not the sales pitch. Developers who win bids with unrealistically low numbers often send families the much higher real bill later. Speed to Power puts American families first — not the lowest bidder.

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations. The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below. The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs. However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality. Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on. What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities. [Original text: The Batch newsletter]

Amazon announced three new animated shows created with generative AI through its GenAI Creators Fund and Project Nara. Project Nara integrates AI tools with software such as Adobe, Unreal Engine, and Blender to enable faster production. The shows include >Punky Duck, about a punk rock duck navigating chaos in Los Angeles with aliens and monsters >Love, Diana Music Hunter, about a space-traveling K-pop band that saves aliens through concerts >Cupcake and Friends, about cupcake sleepover adventures. All three pilots were produced in just five weeks and will be available on Prime Video.

Tides of Annihilation devs say they’ve been working directly with NVIDIA and Epic Games to fix heavy frame drops during the game’s huge “Giant Knight” battles ahead of the summer demo. The team explained that the game struggles to handle massive enemies, detailed environments, and intense combat effects simultaneously in Unreal Engine 5. Earlier gameplay clips worried many players about optimization and performance. NVIDIA is helping with DLSS and GPU optimization, while Epic engineers assisted with improving animation and gameplay systems. The devs are trying to keep visuals intact while boosting performance. Producer Kun Fu previously described the world: “Our game world reimagines London as a sprawling battleground where modern ruins coexist with echoes of a medieval past.” A public demo is expected later this summer, so players can see the performance improvements.

🔞 Disadvantage of watching porn. ⚠️ Disadvantage 1️⃣ Can become addictive if overused ⚠️ 2️⃣ Create unrealistic expectations about relationships 🎭 3️⃣ Excessive watching can affect focus & productivity 📉 4️⃣ Can reduce real-life intimacy 💔 5️⃣ Negatively impact mental health 😟