Perplexity has outlined its practical vision for workplace AI, emphasizing usefulness over hype. With features like Comet, email and voice assistants, and app connectors, the platform helps reduce distractions, scale user impact, and streamline work toward meaningful outcomes.
Shield AI will unveil its AI-piloted X-Bat fighter drone, which features vertical takeoff, a 2,000-mile range, and AI piloting via its Hivemind software.
Securitize, a leader in real-world asset tokenization, will go public through a $1.25 billion SPAC merger with a Cantor Fitzgerald–sponsored company, listing on Nasdaq under the ticker SECZ. The firm will also tokenize its own shares, advancing its mission to bring capital markets onchain. Founded in 2017, Securitize has become the go-to tokenization partner for traditional institutions like Apollo, VanEck, and BlackRock.
Truth Social, the Trump Media–owned social platform, is entering the prediction market space through an exclusive partnership with Crypto.com. The new product, Truth Predict, will let users trade contracts on events like elections, Fed decisions, sports, and commodities via a federally compliant CDNA integration.
Mallory is an open-source AI chat app that natively consumes x402 payment APIs, starting with 19 Nansen APIs priced at $0.001 per call to access onchain data. The mobile-native, crypto-native, and AI-native app serves as a batteries-included foundation for developers to build consumer applications on internet capital market rails. The API catalog will expand to focus on Solana ecosystem capabilities.
Circle has launched the public testnet for Arc, an open Layer 1 blockchain designed to serve as the Economic Operating System (OS) for the internet. It enables stablecoin payments, tokenized assets, and real-world financial activity to move onchain. The network already includes early participation from global banks, asset managers, and fintechs such as BlackRock, Goldman Sachs, Deutsche Bank, Visa, and Mastercard, alongside developers and protocols like Aave, Uniswap, Curve, Chainlink, and LayerZero. Arc will use USDC as native gas, offer sub-second finality via its Malachite consensus engine, and integrate Circle's full platform for liquidity, payments, and cross-chain interoperability.
DeFi has evolved through three phases – tokens, pools, and vaults – condensing centuries of traditional finance into more efficient onchain protocols where users capture yields traditionally reserved for banks and intermediaries. Stablecoins have progressed from fiat-backed to over-collateralized to delta-neutral models like Ethena's USDe at 101% collateralization with $12 billion market cap, demonstrating successful token flywheels where wrapper tokens stack yields across multiple protocols (USDe → sUSDe → PT-sUSDe → vault positions). Six pool types emerged sequentially – lending, trading, staking, incentivized gauges, strategy vaults, and structured finance – with modern vaults now managing strategies across these pools while curators take performance fees.
Circle and Tether's 85% market share of the $265 billion stablecoin market is eroding as distribution partners and ecosystems internalize yield, evidenced by Circle paying Coinbase $908 million of its $1.7 billion in 2024 reserve income while Hyperliquid's $5.5 billion USDC balance generated $220 million annually for Circle/Coinbase before switching to Native Markets' USDH. Major chains leak roughly $1.1 billion in annualized stablecoin yield to Circle and Tether – 40% more than the $800 million in transaction fees these ecosystems earn. White-label stablecoin models via Ethena's SaaS infrastructure are scaling across Sui, MegaETH, and Jupiter, while applications like Hyperliquid and Pump.fun trade at 19x and 2x market cap to revenue respectively versus Solana's 80x multiple, demonstrating how apps with strong distribution are capturing actual cash flows at far lower valuations than infrastructure layers.
MetaMask registered "claim.metamask.io" and "gift.metamask.io" domains, briefly pushing Polymarket odds of a 2025 MASK token launch from 11% to over 40% before settling back to 17%. The potential airdrop to MetaMask's 30 million users could become one of crypto's largest by reach, with analysts suggesting timing aligns with Consensys's recent launches (LINEA and SBET) and strategic need to counter wallet competition from embedded UX models like Phantom and Rabby. Consensys founder Joseph Lubin first teased $MASK in 2021 and confirmed in August that it's in development. The token could potentially serve to align governance and rewards across Consensys's product suite.
Anonymous donors unveiled a 14-foot gold statue of Binance founder Changpeng Zhao in Washington DC on Tuesday, depicting his iconic four-finger anti-FUD gesture, weeks after President Trump pardoned him from money laundering charges tied to a $4.3 billion settlement. The $50,000 statue will be displayed outside the US Capitol before being offered to Zhao or auctioned to benefit his nonprofit Giggle Academy.
As foreign central banks shift from US Treasuries to gold for the first time in 30 years, stablecoins are emerging as a new force sustaining dollar dominance.
Leaks suggest Apple's 20th-anniversary iPhone, expected in 2027, may feature an all-glass wrap-around display and eliminate all physical buttons in favor of solid-state ones with haptic feedback. The design would mark a major shift similar to the iPhone X's anniversary debut, though details could still change before launch.
Pinterest is rolling out AI-powered features to transform its boards into personalized shopping and style tools, including "Styled for you" collages that help users mix and match saved fashion items and "Boards made for you" with curated outfit inspiration. The company is testing these features in the US and Canada over the next few months, aligning with its goal to become an AI-enabled shopping assistant. New tabs will also organize saved Pins by categories like "Make It Yours" for personalized product recommendations and "More Ideas" for related suggestions across beauty, recipes, and other topics.
Stability AI and Electronic Arts have formed a strategic partnership to co-develop generative AI models, tools, and workflows that will transform how EA's creative teams design and build games. The collaboration will focus on accelerating asset creation, including developing new workflows for generating physically based rendering materials and previsualizing 3D environments from prompts to enable faster iteration and prototyping. By embedding Stability AI's 3D research team directly with EA's artists and developers, the partnership aims to unlock new creative possibilities in world-building and visual storytelling while maintaining artist control and quality.
The Nielsen Norman Group's study guide compiles research-based recommendations for designing AI products. The collection covers strategic considerations, such as determining AI's value proposition, practical guidance on prompt assistance and interface design, and product-specific recommendations for features like review summaries and intranet integrations. Resources include articles that examine AI's four "superpowers" (content creation, summarization, data analysis, and perspective-taking) and best practices for hybrid interfaces that combine prompts with traditional GUIs.
Perfect design is impossible because every design involves tradeoffs among competing objectives — such as business needs, customer satisfaction, and resource constraints — with no algorithm to balance them all. The challenge intensifies as user needs constantly evolve, people adapt their behavior to work around flaws, and different user groups have conflicting requirements. Success depends on designers, engineers, and business leaders developing cross-domain fluency to make informed tradeoff decisions rather than seeking mythical optimization formulas.
2025.10.29·
whydesignishard.substack.com·11 min read·TLDR Design
At Adobe MAX 2025, Adobe announced a shift toward personalized AI with custom Firefly models for brands and creators, letting users train generative tools on their own content and style. It also introduced Project Moonlight, AI assistants that analyze social media to suggest ideas, and expanded partnerships with Google, OpenAI, and others. New tools like AI Object Mask, Assisted Culling, and the high-resolution Firefly Image Model 5 further enhance Adobe's intelligent, creative ecosystem.
Move from prototype to production in record time, with built-in DevOps, observability, and governance. Build AI chatbots, automate workflows, adopt agentic AI, and deploy enterprise-ready solutions without friction.
The Bad UX World Cup 2025 invited people to design and build a deliberately awful date picker component. Catch the finals live on YouTube on October 29.
Design systems intended to reduce friction and improve efficiency may erode everyday human interactions that help people feel less alone, contributing to social isolation. While video games can provide cognitive benefits and reduce loneliness in elderly populations when designed for collaboration, the digitization of services often prioritizes productivity over preserving opportunities for face-to-face connection. Designers should consider second-order consequences of their work, as systems that sever small human bonds collectively weaken society's fabric, even when meeting their intended success criteria.
Timedash, created by former Pentagram designers, revives the 1970s Ana Digi watch aesthetic through customizable widgets for iPhone, iPad, and Mac. The newly redesigned Timedash Widgets 2 lets users build modular dashboards combining data like steps, weather, and date with sleek, retro-futurist visuals. Blending design culture with functionality, it aims to make personal data visualization both elegant and playful.
Finnish designer Emmi Salonen, founder of Studio Emmi, transformed her burnout experience into “The Creative Wellbeing Handbook”, a guide to sustaining creativity through balance rather than constant output. Inspired by her travels and global conversations, she developed a “creative ecosystem” model that emphasized five key inputs: connection, wonder, pause, movement, and joy. Featuring insights from over 100 creatives worldwide, the book reframes rest and self-nourishment as essential parts of the creative process and offers practical tools for a more sustainable creative life.
Maksim Surguy, design technologist at Amazon Devices, creates "robot art" by writing code to generate precise artwork through machines like pen plotters, compensating for what they consider weak traditional sketching skills.
Kirby Air Riders features extensive accessibility options, including button remapping, text size adjustment, colorblind filters, and motion sickness mitigation, a rarity in Nintendo's first-party titles.
Patreon scaled its platform to support live events by addressing the challenges of handling a surge of users. Its team focused on understanding and quantifying load, creating a load test to measure capacity, and then optimizing both infrastructure and client performance. To improve infrastructure, they fine-tuned web requests and reduced requests made at cold app launch for iOS.
Agentic AI systems have a fundamental security flaw: LLMs cannot separate instructions from data, making them vulnerable to prompt injection attacks where untrusted content contains hidden commands. The worst security occurs when an AI has access to sensitive data, reads untrusted content, and can communicate externally, allowing attackers to steal information by embedding instructions in sources like Jira tickets or web pages. To prevent this, it's best to run LLMs in sandboxed containers, avoid production credentials in files, limit untrusted content sources, and split tasks to isolate risks.
Best practices for writing great Go code include keeping main functions minimal, using named constants instead of magic values, preventing security holes with tools like os.Root, embedding static data with go:embed for single binaries, and making sure goroutines terminate properly using contexts and waitgroups. Code should work first with a “walking skeleton,” and then can be refactored after.
Personal agency, the capacity to take initiative and act decisively, is more necessary for success than raw intelligence. Intelligence can lead to analysis paralysis and fear of failure, while agency drives action, learning, and the creation of opportunities. In reality, agency is rare due to societal conditioning and psychological factors, but can be cultivated through a bias towards action and surrounding oneself with proactive individuals.
Amazon's private open house for senior engineering leaders in Seattle exposed three key themes defining Amazon's engineering culture: mission-driven purpose, clear alignment between titles and roles, and a focus on craft over perks. The event showed Amazon's commitment to customer obsession and solving problems at scale, with reversible decisions encouraged to move fast and one-way decisions approached with careful consideration.
Team underperformance often comes from lack of self-confidence rather than lack of skill, and managers inadvertently destroy confidence through micromanaging, public criticism, jumping in too quickly to help, and inconsistent expectations. To build confidence, managers should give autonomy with clear guardrails, criticize privately while praising publicly, ask questions before solving problems, and provide consistent encouragement and reassurance.
Code reviews should be less style nits and more "this is going to break prod". Sentry's AI Code Review blends context and issue history with the code you just touched [10] - function calls, class or objects dependencies, database connections - to provide specific and actionable feedback rather than generic linting advice. Read the blog
Dexto is a toolkit for building AI agents that can turn natural language into actions by orchestrating LLMs, tools, and data. It has a configuration-driven framework, runtime, and smooth developer experience, supporting various interfaces like CLI, Web UI, and APIs. Dexto helps the creation of autonomous agents, digital companions, and multi-agent systems, with features like session management, multimodal support, and production-ready observability.
Butter is a cache that saves money by identifying and serving repeat LLM responses, making AI systems deterministic. It's compatible with Chat Completions APIs like OpenAI and integrates with tools like LangChain and Crew AI. Butter is ideal for autonomous agents performing repetitive tasks. It is priced at 5% of the savings it generates, though currently free.
Microsoft and OpenAI have announced a new agreement extending their partnership. The deal involves Microsoft holding a large investment in OpenAI Group PBC following recapitalization, along with refined IP rights and continued exclusivity for Microsoft until Artificial General Intelligence (AGI) is verified by an independent expert panel. This new phase allows both companies to independently innovate, with Microsoft extending its IP rights and pursuing AGI independently, while OpenAI gains flexibility in developing products and providing API access.
Google's new developer verification policies basically end users' freedom to choose their software sources. This policy requires developers to register with Google, which goes against the open nature of Android.
The challenge of continual learning in AI models is updating model parameters without compromising existing knowledge. Memory layers, a sparse attention mechanism, is a potential solution for continual learning due to its targeted updates, high capacity, and adaptive integration. A recent paper shows that finetuning memory layers leads to much less forgetting compared to full finetuning or LoRA when learning new information.
Amazon has laid off about 14,000 corporate employees to reduce bureaucracy and shift resources towards investments in artificial intelligence following disappointing AI growth and pressure from investors to tighten finances.
The predictable, incremental improvements in Apple silicon Macs, now at the M5 generation, are a positive outcome and a fulfillment of what Mac users desired after years of inconsistent hardware updates during the PowerPC and Intel eras.
Using `await` in JavaScript loops requires careful implementation to avoid performance issues and unexpected behavior - it's usually better to use Promise.all or Promise.allSettled for reliability.