Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
UK fintech Revolut, valued at $75 billion, applied for a US banking license with the OCC. The move enables direct access to Fedwire and ACH payment networks, allowing the firm to offer lending products and replace its current partnership with Lead Bank to scale operations.
Based AI has launched as the first commoditized AI inference gateway on Hyperliquid, using the x402 protocol to enable instant, gasless per-request settlement – replacing subscription and credit models with pure pay-as-you-go compute. Users fund a self-custodial wallet with USDC or USDH, then route calls to any supported model through a single integration point, with balances debited atomically per inference request. A Privacy Cloud tier runs open-weight models on self-hosted GPU infrastructure with no data storage, logging, or caching. The architecture is purpose-built for agentic commerce, enabling AI agents to autonomously purchase inference capacity onchain.
Western Union and Crossmint launched the USDPT stablecoin on Solana, enabling cash redemptions at 360,000 locations worldwide. This expansion targets the $905 billion remittance market as US regulatory efforts, specifically the Clarity Act, stall over banking industry fears of a $500 billion deposit flight by 2028.
NEAR co-founder Illia Polosukhin argues that AI agents will become blockchain's primary onchain principals, autonomously executing payments, managing assets, and participating in governance while humans interact exclusively with the AI layer above. He frames blockchain's role as neutral back-end infrastructure providing settlement, ownership verification, and programmable incentives beneath AI systems, contending that crypto's escape from its finance-only niche depends on this architectural abstraction. DAOs are a cautionary failure, attributing their collapse to being "unbounded," and AI-mediated coordination could resolve governance problems human participation could not.
Token holders on MetaDAO are pushing to liquidate Ranger Finance – which raised $8M through the platform just months ago – by burning $RNGR and returning treasury USDC pro-rata, putting Futarchy's market-driven governance under its first major stress test. Unlike traditional onchain governance, where votes reflect political dynamics, Futarchy prices competing outcomes directly: if traders collectively determine liquidation yields more expected value than continued operations, the proposal passes automatically. The mechanism merges liquidity and governance into a single feedback loop, creating a permissionless kill switch that addresses a persistent retail pain point – getting wrecked in crypto fundraising cycles with no exit recourse.
Slash reached $1B in annualized stablecoin volume within 12 months by targeting international SMBs locked out of US dollar infrastructure – specifically businesses generating $50K–$500K annually that cannot justify US entity formation costs. Traditional international banking costs an SMB processing $50K/month and roughly $87K/year in fees with multi-day settlement. Slash delivers 2-minute finality at approximately $2 per transaction. It leverages a three-layer stack: USDC/USDT as the USD rail, Alchemy-powered gas sponsorship, and embedded fiat on/off-ramps covering PIX, ACH, and Stripe.
SKY token surged nearly 10% after a March 2 governance proposal executed sweeping deflationary changes, cutting staking emissions by roughly 161.82 million tokens and normalizing the rate to 838.18 million over 180 days. The protocol's concurrent buyback program has spent $114.5 million to retire approximately 1.83 billion SKY tokens, sustaining a removal pace of around 3.6 million tokens per day – a significant supply squeeze given that 67% of circulating SKY is already staked. The proposal also onboarded two "Launch Agents" to build out lending and credit infrastructure around the USDS stablecoin.
AgentMail (YC S25) now lets AI agents spin up email inboxes paid for in USDC on Base via Coinbase's x402 protocol, eliminating the need for traditional accounts or API keys.
SEC Chair Paul Atkins submitted an interpretive framework to the White House establishing a token taxonomy for digital assets.
ENS prioritizes universal resolvability over siloed namespaces like .crypto.
The FBI says John Daghita was arrested in Saint Martin for allegedly stealing over $46 million in crypto from US Marshals Service wallets tied to assets seized in the 2016 Bitfinex hack.
Google is testing a built-in markup tool in Gemini that lets users highlight parts of AI-generated images and request targeted edits directly inside the chat, removing the need for external editors. The feature would enable faster, more precise region-based edits and support Google's goal of making Gemini a more seamless multimodal assistant.
Apple introduced the MacBook Neo, a new budget laptop starting at $599 powered by the iPhone-derived A18 Pro chip with a 13-inch display and up to 16 hours of battery life. It comes in four colors and offers 8GB RAM, 256GB–512GB storage, two USB-C ports, and optional Touch ID on the higher-end model. Educational pricing starts at $499.
Design system contributions work better in small organizations where team members know each other personally, whereas in larger companies, complex processes make contributions ineffective. Contribution models should be simple enough to describe in a few paragraphs, relying on established relationships and trust rather than elaborate procedures. In small teams, a basic two-step process works best: create a recipe for the shared library, then optionally review it with the design system team for potential inclusion.
Five years ago, the author left a cushy job to start Not Boring Software, aiming to replace boring daily software with apps that make users feel something and want to spend time using them. Rather than following the typical tech industry script of rapid growth and scaling, the company chose to build slowly and sustainably, creating weather apps, timers, calculators, and other tools. This approach trades an infinitesimal chance at massive success for a real opportunity at meaningful, lasting success.
The creative design industry has shifted from a vibrant, creator-led field in the 1980s to a corporatized system where holding companies, weakened design education, austerity, and cost-cutting have devalued creativity and worsened working conditions. Despite this decline, growing dissatisfaction is fueling a new wave of independent, creator-led agencies and a potential renaissance in creative work.
Generate and refine visuals directly in the timeline, then add voice, captions, and polish without switching tools.
Secret Sauce 3D is an AI co-pilot built for 3D artists and 3D enthusiasts. Generate high-poly starting points, segment into parts, optimize geometry, create UVs, and build texture bases — all with editable outputs at every step.
Inspect, edit, and optimize SVGs in the browser.
Accessible design systems dramatically reduce remediation work, but automated checkers alone can't catch every issue. Critical gaps include misused components, unmanaged keyboard focus, color-only status indicators, poor text labels, and illogical heading structures. Real accessibility requires human judgment, disabled user testing, and attention to the full end-user experience beyond component-level concerns.
Figma components with excessive props create a scrollable "configuration collapse" where too many visibility and layout options make components fragile and hard to maintain. Native Figma slots will replace many props with a composable design, allowing designers to build components through creative composition rather than endless switches and variants. This shift requires dropping complex props in favor of leaner component APIs that retain only essential behavioral properties, such as state, appearance, and size.
As AI makes design execution fast and accessible to anyone, the real competitive advantage for designers is no longer producing UI, but exercising judgment—understanding context, trade-offs, and user behavior behind design decisions. Strong design judgment, built through deliberate practice and analyzing products at multiple layers (surface, structure, and intent), is what allows designers to use AI effectively and remain valuable.
Bold abstract geometric vector shapes by designer Oleg R. feature vibrant neon colors against black backgrounds, creating optical illusions of movement through strategic gradient placement.
The gap between academic and professional creative work creates a valuable learning opportunity, as students must shift from designing for grades to creating work that survives real-world commercial pressures.
Florence Miailhe's Oscar-nominated animated short, Papillon (Butterfly), tells the life story of Holocaust survivor and Olympic swimmer Alfred Nakache through a painterly animation style that uses water and color to convey memory, trauma, and resilience.
Sponsored
With registrations open until April 17th [4], will industry leaders from Foxconn, Google DeepMind, Intrinsic, NVIDIA Robotics, Open Robotics, and Universal Robots select your AI model as a finalist in the AI for Industry Challenge?
Doctolib found that building AI chat on mobile was much harder than expected. Streaming responses broke React Native's standard scroll patterns, so they open-sourced their own list component to fix it. The main insight was switching snapshot polling for event polling (“what changed since X?”), which eliminated ~80% of wasteful requests and made error states explicit.
CLIs need to be redesigned specifically for AI agents, as their requirements for predictability and defense-in-depth differ a lot from human user needs. Agent-first CLIs should prioritize raw JSON payloads for inputs and offer runtime schema introspection for documentation, and practice context window discipline through field masks and pagination. Good input hardening is necessary to defend against agent hallucinations, alongside explicit documentation to guide agent behavior.
The article sarcastically introduces a scenario where the simple `ls` bash command is replaced by an "AI-Powered Directory Intelligence" tool called `als`, showing the author's point about software overreach. Good software understands its core purpose, knows when to stop adding features, and focuses on continuous improvement within its defined scope.
AI lowers the cost of producing software that appears to work, leading to confusion between simply building an app and the extensive process of "engineering a system." These superficial creations are like "clay Bugattis," which look real but don't have the underlying engineering for actual functionality, reliability, and scale.
Sponsored
Traditional AppSec relies on scans after commits, but with AI code, that's like checking the locks after the intruder's already inside. Bridge that gap with real-time security [10] that scans generated code as it's written and remediates risk before commit: right in the IDE [10].
OpenAI has released GPT-5.4, its most capable and efficient frontier model designed for professional work, now available in ChatGPT, the API, and Codex. This new version advances reasoning, coding, and agentic workflows, excelling in tasks involving spreadsheets, presentations, and documents with improved accuracy and reduced errors. GPT-5.4 also introduces native computer-use capabilities, allowing agents to operate across applications.
Expo Router v55 advances its goal of delivering a more native feel to apps while supporting complex web scenarios. The release brings major native UI improvements, including a new Stack API for declarative headers, native tabs, dynamic colors, toolbars, and gesture-driven zoom transitions.
Anthropic announced it has been designated a "supply chain risk" to national security by the Department of War (in the US), a decision the company believes is legally unsound and plans to challenge in court. They clarified that this designation has a narrow scope, applying only to the direct use of their AI models in Department of War contracts, not all customers or broader business relationships. Despite the dispute, Anthropic reiterated its commitment to US national security and offered continued transitional support for its models to the Department.
The Swiss watch industry faced a "quartz crisis" in the early 1970s, decimated by superior Japanese competition, unfavorable exchange rates, and the advent of highly accurate and thin quartz movements that made traditional mechanical watches obsolete. To survive, a handful of prestigious Swiss watchmakers pivoted from being precision instrument makers to luxury brand marketers, transforming their products into expensive status symbols. This might happen in tech too, due to AI, where brand becomes the primary driver of value.
This research by Anthropic assessed AI's labor market impact, finding no systematic increase in unemployment but suggestive evidence of slower hiring for young workers in highly exposed occupations.
Databricks' AI Research Team has developed KARL, a custom Reinforcement Learning-powered agent that reduces inference costs and latency while improving the quality of enterprise knowledge tasks.
ReMe is an AI agent memory management framework that provides both file-based and vector-based memory systems to overcome limited context windows and stateless sessions.
RFC 406i, "The Rejection of Artificially Generated Slop (RAGS)," is a sarcastic imaginary standard that outlines a protocol for project maintainers to immediately detect, reject, and punish contributors submitting low-effort, AI-generated content.
Sponsored
Did you know that 81% of companies like yours now get audited by their customers to verify security compliance? That means security has become a sales driver (or a limiter).
A company raised $4M, shipped a beautiful product, got written up in TechCrunch, and died in eleven months. Three teams built the same thing within six weeks of launch and one of them was free. Only 3% of VC-backed software companies ever reach $100M in revenue. If a team with $50M cloned you tomorrow, what would they still not be able to replicate in three years? This post presents seven real sources of durability that have nothing to do with your tech stack, from proprietary data that compounds with every interaction to infrastructure trust that takes years to earn to physical atoms that no weekend prototype can shortcut.
The next $1 trillion company will be a software company masquerading as a services firm. Companies right now might spend $10,000 a year for software and $120,000 for a professional to complete the task. The next legendary company will just offer to complete the task. The frontier will shift as AI systems accumulate data about what good judgments look like in specific domains.
A broader pattern is emerging where young builders are funding each other through microgrant funds and peer-run launchpads, with the key advantage being that check-writers are still close enough to the zero-to-one phase to fund based on current context, not faded memory. The earliest believers do not need to be the most established ones. Peer-to-peer early capital is quietly compounding into an alternative support infrastructure.
Brands are the moat when differences between products disappear. Making the substantive differences between products is what the tech industry naturally tends to do. Good design tends to converge, but branding, by definition, has to be distinctive. Branding sells products, but the products still have to be good enough to maintain the brand's reputation.
Every week a founder pitches "we fine-tuned the best model on domain data" like that's a moat. It isn't. Every competitor has the same models at the same price per token. The real defensibility comes from one decision most teams skip - building agents that remember things between sessions. Most AI products forget everything after each conversation. The ones that retain what you changed, accepted, and rejected get meaningfully better the longer you use them. After two years of daily use, switching feels impossible - not because of a contract, but because a new product would have to relearn everything from scratch. The moat isn't the model. It's how much the system has learned about you over time.
Taking your best engineers off your core product to build an AI agent is a risky move, but if you're behind on AI, it might be the only way to catch up. The incremental approach won't work. The companies that win in the next five years of B2B were the ones that made the bet on AI in 2025 and 2026. If your growth has stalled, win rates are dropping, or product feels stuck, the answer may be a focused team that wakes up every day thinking about nothing except the agent.
Design company goals by focusing on clarity to ensure alignment and prioritization. Limit goals to three, assign a single owner, and prioritize one goal over others for effective decision-making. Clearly distinguish between goals and non-goals to maintain strategic focus and adjust strategies based on organizational learning and evolution.
Beautiful, sophisticated UI components designed for modern React and Tailwind CSS applications.
Suite of fully local AI-powered CLI tools.