FLUIDSTACK IN TALKS FOR $1B ROUND AT $18B VALUATION MONTHS AFTER HITTING $7.5B
Fluidstack is a startup that builds specialized data centers for AI companies.
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Fluidstack is a startup that builds specialized data centers for AI companies.
OpenAI acquired personal finance startup Hiro Finance in an apparent acqui-hire.
Meta and Broadcom have extended an existing partnership for the design of Meta's custom in-house AI accelerators through 2029.
Anthropic shared details of its unreleased Mythos model with the Trump administration due to its advanced cybersecurity capabilities, despite an ongoing legal dispute with the Department of Defense.
Adobe Summit 2026 kicks off April 20 in Las Vegas, focusing on how AI will reshape marketing and creative software. The event comes at a pivotal time, as Adobe's CEO is stepping down after 18 years, and the company faces challenges from AI competitors such as Microsoft and Google. Adobe will announce its response to AI disruption while showcasing updates to its Marketing Cloud and Experience Platform services.
The iPhone 18 Pro is rumored to simplify its Camera Control button by removing capacitive gesture features, which many users found overly sensitive and easy to trigger accidentally, while keeping the more useful pressure-based functionality. This change reflects a shift toward a cleaner, more intuitive experience that works well out of the box without requiring users to disable features, and Apple may also add small practical improvements like customizable shortcuts for quicker access to specific camera modes.
Trump officials have released designs for a proposed triumphal arch in Washington, DC, created by Harrison Design and submitted to the Commission of Fine Arts. The arch would be located on a traffic circle across the Potomac River from the Lincoln Memorial and features eagles, a winged angel, lions, and inscriptions reading "One Nation Under God" and "Liberty and Justice for All." The project was first proposed in October 2025 as part of initiatives to commemorate the 250th anniversary of the United States.
In response to AI fatigue, users are gravitating toward designs that appear handmade rather than AI-generated, as polish is no longer seen as a quality signal. Handmade design features include variable line weights, incomplete shapes, visible brushstrokes, hand-lettered typography, textures, and intentional imperfections that signal human creation. This trend represents a shift where handmade aesthetics have become trust signals, with brands emphasizing the human creators behind their designs to differentiate from AI-generated content.
AI agent orchestration has become a core design skill as the barrier between design and engineering has collapsed, with designers now able to build apps in plain language rather than complex coding syntax. In this article, a designer reveals how he shipped three apps in 2025 by treating AI as a collaborative partner, providing detailed context and intent rather than simple commands. The process involves four phases: accepting basic outputs, learning to debug through conversation, applying systems thinking with structured documentation, and knowing when to ship and iterate.
As AI makes products faster, excessive speed can reduce trust—especially in high-stakes situations—because users need time and visible effort to feel confident in decisions. The concept of “strategic friction” argues that designers should intentionally slow down or add transparency to important or irreversible actions, balancing speed with human psychology so experiences feel trustworthy, not just efficient.
Turn long-form videos into publish-ready clips with sentence-level editing.
Transform any room instantly with AI. Upload a photo, choose a style, and visualize your future home with photorealistic precision.
One workspace built specifically for freelance creative professionals who run the whole project.
Legacy systems are outdated, slow, and poorly documented, critical to daily operations but frustrating to users and stakeholders. These systems must coexist with modern digital products, creating fragmented user experiences in which a single broken step can make the entire product appear unusable. Rather than redesigning from scratch, organizations should build on existing knowledge and create a strategic UX roadmap to gradually improve these essential yet problematic systems.
In mobile UX, tappability refers to affordances for touch interactions where UI elements like buttons and icons serve as touch targets that users can tap. Touch targets should be large enough for easy interaction, since fingers are three-dimensional and can block the user's view. Recommended sizes are 7mm at the center, 9mm along the edges, and 12mm in the corners. Unlike pixels, which vary in size across devices, these measurements use millimeters to ensure consistent physical sizing regardless of screen resolution or pixel density.
A new unified Amazonia brand identity uses river shapes from each state to form a flexible, “living” logo that reflects the region's diversity while bringing its nine states under one cohesive visual system. Designed collaboratively with local contributors, the branding aims to strengthen tourism, cultural visibility, and economic value by celebrating the Amazon's natural and cultural richness.
Munich Creative Business Week will take place from May 4-10, 2026, featuring its 15th annual festival, "Playground of Possibilities," that emphasizes the joy of creating over perfection.
An anonymous digital artist, "Bunch of Fantasies," creates cinematic dreamscapes using AI tools like Midjourney and VEO 3 to escape work stress.
Illustrator Harriet Yakub combines unrelated ideas into playful yet thoughtful images inspired by everyday observations.
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turbopuffer is the serverless search engine for AI [4]. It's built on object storage with smart caching - so it's fast, cheap, and extremely scalable.
✅ Up to 95% cheaper than traditional vector/text search databases
Relying only on scalar types creates subtle semantic bugs that bypass compilers because they cannot distinguish between different domain concepts, a risk not fully mitigated even by grouping parameters into structs. The solution is to wrap every meaningful domain concept in a distinct "newtype," ensuring the compiler enforces semantic correctness and leading to safer, self-documenting code with compile-time validation.
Slack Engineering overcomes LLM context window limitations in long-running multi-agent security investigations by using three complementary context channels. This system uses a Director's Journal for structured memory, a Critic's Review to assess and prune inaccurate findings, and a Critic's Timeline to construct a plausible event chronology.
The AI Coding Agent Manifesto establishes core values emphasizing contracts over conventions, verification over generation, and explicit communication to guide AI-driven software development. The manifesto then outlines twelve principles, such as humans defining code skeletons, documenting agent conventions, separating code generation from judgment, and treating AI-generated code as "guilty until proven innocent."
The hacker mindset involves seeing through a system's superficial rules and abstractions to understand its deeper, underlying mechanics, allowing for unconventional and highly efficient outcomes. This approach shows the power of understanding how a system truly operates.
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Clerk Billing now lets you cap organization membership based on which plan a customer subscribes to. Set a limit in the dashboard, and Clerk automatically blocks new invites once orgs hit it and prompts them to upgrade. No custom logic required.
Claude Code Routines automate unattended, repeatable tasks, such as code review or alert triage, by running saved configurations autonomously on Anthropic's cloud infrastructure. Users can trigger these routines via a schedule, an API call, or GitHub events like pull requests, and manage them through the web interface, CLI, or desktop app.
Google Chrome is launching Skills, a new feature that allows users to save and reuse their most effective AI prompts as one-click tools for recurring tasks across different web pages. These personalized tools streamline workflows like product comparisons or document analysis.
Plain is an opinionated Python web framework, forked from Django and redesigned for the "agentic era," that provides an explicit, typed, and predictable foundation for both human developers and AI agents.
Open-source projects like Jellyfin face massive backlogs of unmerged PRs due to bottlenecks, such as a single maintainer nearing 100% utilization, which results in exponentially growing wait times and a "batch size death spiral" where large PRs clog the system. Combat this problem by optimizing the existing maintainer's time. Some solutions include capping PR size, gating quality, limiting work in progress, setting review cadences, and building a reviewer tier.
Government-funded academic research spanning 30 years, focused on parallel computing, graphics, and stream processing, directly led to the development of GPU computing, which is now vital for the modern artificial intelligence revolution and holds a lot of economic value. This foundational academic expertise was transferred to industry, evolving languages like Brook into CUDA at Nvidia.
An evaluation of Gemma 4 as a local agentic coding model in Codex CLI, compared against cloud models like GPT-5.4, showed that first-pass reliability, not raw token speed, was the most important performance metric, as cloud models were the fastest and most reliable. While cloud models still offer the best overall performance, Gemma 4's tool-calling ability makes local agentic coding viable.
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Traditional presentations of the Fifth Normal Form (5NF) are confusing due to unmotivated examples and illogical splitting, but designing schemas from business requirements and logical models naturally produces fully normalized physical schemas through patterns like the AB-BC-AC triangle or ABC+D star, making explicit 5NF decomposition unnecessary.
Google is making “back button hijacking,” where sites manipulate browser history to trap users, an explicit spam policy violation, with enforcement starting June 15.
Figma's MCP server enables AI agents to accurately bridge the gap between design and code, and vice versa, by transforming raw design data into a structured, LLM-friendly format.
Multi-agentic software development is fundamentally a distributed systems problem with inherent impossibility results, like FLP and Byzantine Generals, that smarter LLMs alone cannot overcome, thus necessitating explicit coordination protocols and languages rather than waiting for future model improvements.
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AI workloads don't simply need scale, they need ultra-low latency at high throughput. Crusoe [4]'s distributed memory architecture behaves like it's local, even at peak demand. The result?
Flatiron spent a month visiting AI-native startups in SF, and the org charts look nothing like a normal company. One PM covers five companies. Engineers talk to customers and own product decisions. Claude Code has replaced Cursor in most shops. Non-engineers shipped production tools, an account manager built a Slack agent to automate uploads, and accounting teams wrote database queries through MCP. Everyone's iterating 3-5x faster, which sounds great until you realize the real danger is saying yes to every feature request just because you finally can.
Stock comp looks the same on a GAAP line no matter what your share price does. The dilution doesn't. When Amplitude traded at $83, a $250K package cost 301K shares. At $5.90, that same package costs 4.2M shares. Same expense, 14x the dilution. That math gets ugly fast as software multiples keep compressing.
AI startups face pricing wars due to market saturation, leading to destructive underpricing. Enterprises have significant AI budgets and often use multiple tools, prioritizing value over cost. Successful companies focus on premium perception, creative pricing models, and strong customer integration to avoid competing solely on price.
Building a small, focused team requires discipline at every layer. You need to have relentless standards in hiring and constantly work to maintain alignment. The team needs to be genuinely obsessed with customers and have zero tolerance for mediocrity in craft. When done correctly, the team becomes a force that builds products that feel different.
Branding is a strategic system, not just design, built on positioning, messaging, visual identity, and scalable assets. Strong brands reduce sales friction, enable premium pricing, and compound over time. Most companies fail by starting with visuals instead of defining clear positioning and messaging first.
Corgi grew fast by fixing the root problem in insurance: slow underwriting and complex workflows. Instead of acting as a broker, it became the insurer and used AI to compress processes from weeks to minutes. Growth came from strong product-market fit and a unique strategy of building community (café, events, and media) instead of relying on traditional marketing.
Most B2B companies have two funnel layers. Generate leads, close them. Then they hit $1-3M and wonder why nothing's moving. ColdIQ built two layers in between and bootstrapped to $7M ARR. One is capture, mini-tools made with Claude Code that grab emails, de-anonymization that identifies anonymous visitors, and video sales letters that do the selling before the call. The other is management, a 10K subscriber newsletter, behavior-triggered email sequences, and 150+ LinkedIn posts a month across 24 team accounts. Prospects who see your content 3+ times before getting a cold email convert at 2-3x the rate.
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Most startups wait too long to build a professional GTM stack. Salesforce Launchpad [12] gives you the AI-powered tools, guidance, and network you need to hone in on your product. It's free to join and provides events, free & discounted Salesforce solutions, expert AI & GTM guidance, and new distribution channels & partnership