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Stirrup is a framework for building agents that lets models choose their own approach to completing tasks. It has best practices and tools built in and is fully customizable. Stirrup features a skills system that extends agent capabilities, flexible tool execution, context management tools, flexible provider support, and multimodal support.
ExecuTorch is a solution for deploying AI models on-device. Built by PyTorch for privacy, performance, and portability, ExecuTorch powers KPWA meta's on-device AI across Instagram, WhatsApp, Quest 3, Ray-Ban Meta Smart Glasses, and more. It allows developers to deploy LLMs, vision, speech, and other multimodal models with familiar PyTorch APIs. The tool can accelerate research to production with seamless model export, optimization, and deployment.
OpenAI's use of Weekly Active Users (WAU) rather than Monthly Active Users (MAU) renders its user base scale incomparable to other large consumer technology products. ChatGPT's user retention is likely quite low, meaning many users cycle in and out every month, inflating MAU relative to WAU. Dividing MAU would reveal relatively weaker unit economics that are directly comparable to other consumer technology products.
AI is making formal verification go mainstream. Random testing will play an important role in the future of software engineering. As autoformalization tools get better, we will have many more formal specifications. Random testing benefits from these formal specifications in different ways than formal verification, but both have their places.
Gemini 3 Flash was Arnaud Autef's first release as distillation TL.
Mother Nature can host human intelligence using only 20 watts of power in a space equivalent to the space inside your skull.
Poetiq saw results as high as 75% at under $8/problem using GPT-5.2 X-High on the full PUBLIC-EVAL dataset.
VanEck's David Schassler predicts Bitcoin will be a "top performer" in 2026 after lagging the Nasdaq 100 by roughly 50% year-to-date, with the firm actively buying ahead of expected liquidity return and currency debasement acceleration. Gold surged 70% this year to $4,492, with Schassler targeting $5,000 in 2026 as funding future liabilities increasingly relies on money printing, pushing investors toward scarce stores of value. Bitcoin historically responds sharply when debasement ramps and liquidity returns, with the thesis intact despite 2025's weakness reflecting softer risk appetite and tight liquidity conditions.
Aave's community fractured over a proposal transferring brand control from Aave Labs to the DAO following CoW Swap fees flowing to Labs instead of the treasury, with the dispute centered on who controls trademarks, domains, and social accounts for the $33 billion TVL protocol. Labs supporters argue that company autonomy enables faster execution and competitive shipping, as "DAOs are structurally incapable" of product velocity, while DAO advocates led by Marc Zeller argue token holders bearing economic risk should control branding since independent service teams maintain the protocol. The vote currently shows 58% against transfer, with one-third abstaining ahead of Friday's conclusion, as other protocols watch with growing concern. AAVE fell 18% over the week as the dispute deepened beyond typical crypto market weakness.
Browserbase partnered with Coinbase to enable LLMs to discover services through x402 Bazaar and autonomously pay per browser session via instant USDC settlement, eliminating API keys, billing setup, and human approval for agent-driven web automation. Coinbase Business handles settlement with automatic yield on idle balances, institutional custody, and real-time visibility as agents spin up browsers, navigate live websites, and extract data programmatically. The integration unlocks workflows where agents use the web by interacting with real pages and interfaces while paying for compute autonomously without reconciliation work or fraud risk.
Ghana passed the Virtual Asset Service Providers Bill, legalizing crypto trading and requiring entities to register with the Bank of Ghana or Securities and Exchange Commission, depending on activity type, with Governor Johnson Asiama confirming "no one is going to be arrested" for trading under the new framework. The country processed $3 billion in crypto transactions from July 2023 to June 2024, with 17% of adults using crypto, positioning the legislation to manage risks in an already-active market. Ghana plans targeted exploration of asset-backed digital settlement instruments, including gold-backed stablecoins in 2026, focused on payments, trade finance, and FX settlement to lower costs, expand access, and strengthen compliance.
2025 was the year Ethereum graduated into real financial infrastructure. It experienced rapid protocol progress (e.g., Pectra and Fusaka, higher gas limits, cheaper transactions, and more blob capacity), plus institutional and regulatory milestones (stablecoin framework via GENIUS Act, SEC staking guidance, JPMorgan/BlackRock tokenization momentum). Ethereum's L2 ecosystem, DeFi, and privacy tooling have matured materially. AI-agent commerce rails (e.g., standards + micropayments) are also beginning to land on Ethereum.
A common narrative is that vaults and curators own distribution, so they'll capture the economics. However, lending protocols (e.g., Aave and Spark) often earn more than the vaults built on top of them because they skim a reserve factor on interest paid on borrowed notional, while vault fees are usually charged on TVL. Aave and Spark capture multiples of vault revenue per unit of TVL and, in aggregate, even rival or beat upstream issuer economics (e.g., staked ETH issuers) in today's market structure.
The post argues that the easy, mostly delta-neutral 20-30% crypto yield era is largely over as the biggest historical yield sources (e.g., airdrops/points, perp incentives, basis trades, etc.) compress. With baseline yields (e.g., sUSDe) down sharply versus 2024, many yield products will either die or take hidden risks. The next frontier is onchain options selling (covered calls, call spreads, cash-secured puts) as a scalable way to earn yield by explicitly warehousing volatility rather than hunting temporary loopholes.
Bittensor (TAO) is in the quiet infrastructure-building phase that preceded massive outcomes in Amazon, Bitcoin, Ethereum, Netflix, Tesla, and the market is mispricing it because it's complex, early, and noisy. Subnets are shipping quickly, there are early signs of real demand (a few subnets claiming paying customers and high performance), and improving market access (e.g., trust and ETP products).
Aave's onchain protocol is owned and governed by the DAO, but a lot of the offchain items are controlled by Aave Labs.
BitMine reportedly bought 29,462 ETH ($88M) via BitGo and Kraken, though the specific transfers haven't been officially confirmed by BitMine.
SYRUP is outperforming other money markets, primarily driven by leading growth, yield, and revenue metrics.
The ETHZilla DAT sold $74.5M ETH in a bid to grow its RWA tokenization business.
Luma AI released Ray3 Modify, a new model that enables users to generate videos from start-to-end frames while modifying existing footage using character reference images that preserve the original performance. The model allows creative studios to transform human actors' appearances while retaining motion, timing, and emotional delivery, available through Luma's Dream Machine platform. This release follows Luma's $900 million funding round led by Saudi Arabia's Humain in November, with plans to build a 2GW AI cluster there.
ChatGPT is rolling out a Spotify Wrapped–style annual review called “Your Year with ChatGPT” for eligible free, Plus, and Pro users in select English-speaking markets who have chat history and saved memories enabled. The optional, privacy-forward feature uses personalized visuals, awards, and creative outputs like poems and images to reflect how individuals used ChatGPT over the year, and is available on web and mobile.
Alibaba's Qwen has released an AI model that automatically splits images into separate editable layers with transparent backgrounds, similar to Photoshop's layer system. The model allows users to independently resize, reposition, recolor, or replace individual elements, such as backgrounds, people, or objects, across 3 or 8 layers. Code and demos are available on GitHub, Hugging Face, and ModelScope for testing.
AI design tools exposed a technical literacy crisis that has been eroding designers' strategic influence since the early 2010s, when the industry collectively decided that designers don't need technical knowledge. When tools like Figma AI and Figma Sites launched with serious flaws, many designers couldn't evaluate whether outputs were functional or broken. Designers who maintain strategic relevance understand technical systems deeply enough to participate in product decisions, evaluate AI-generated work, and advocate for users in technical conversations.
Many AI products fail because of a disconnect between their technological capabilities and user experience design, with 42% of businesses struggling due to poor market fit. The core issues include AI's "black box" nature, automation bias, blank-canvas paralysis from unclear guidance, workflow friction, hallucinations, and a lack of feedback loops for improvement. Good UX design can address these failures by positioning AI as an assistant rather than an expert, using confidence scores and transparency measures, providing templates and suggestions, ensuring seamless integration, acknowledging imperfection, and implementing user feedback systems.
AI has collapsed the gap between idea and execution, making it possible to build polished, expressive products through conversation alone, without traditional design or coding skills. The new bottleneck is taste: clear vision, judgment, and the ability to articulate what “feels right,” with AI acting as a force multiplier rather than a creative substitute.
Get deep user insights in hours, not weeks, through AI-moderated interviews that turn conversations into action.
Create landing pages so good no one believes they're AI‑made — fast, credible, on‑brand, and entirely in your control.
Rankscale helps brands take control of how they show up in AI-generated answers. Track your presence, uncover insights, benchmark competitors, and stay ahead.
Industry professionals predict that illustration in 2026 will emphasize handcrafted techniques such as woodblock printing and linocut, while artists bring authentic, personal perspectives reflecting diverse cultural experiences. Realism must evolve beyond technical accuracy to incorporate unique concepts, atmospheres, and emotional resonance that AI cannot replicate. The field calls for experimental aesthetics using new technologies, positivity-focused imagery, and vibrant color palettes featuring neon hues and bold combinations.
Researchers found that when AI image models repeatedly generate and re-describe images, they rapidly converge on a small set of generic visual styles regardless of the original prompt. Across thousands of runs, outputs consistently settled into about a dozen recurring motifs, which the authors liken to bland, stock “visual elevator music.”
Scott Jenson, Apple's first member of the Human Interface group, argues that desktop UX has stagnated for 20 years despite its untapped potential for productivity.
Designer So Koizumi created the "As" furniture collection using asphalt as a binding agent to connect metal, stone, and resin into stools, tables, and lighting fixtures.
The piece argues that judgment, taste, timing, and human friction matter more than ever, with AI best used as a partner after intent is formed, not as a substitute for thinking, learning, or wandering.
Helix is an AI platform where autonomous coding agents work in cloud sandboxes. Users need to watch their AI assistants work, so the team replaced WebRTC with a custom WebSocket streaming pipeline. This wasn't enough because the integration had to work on enterprise networks, which only use HTTP, HTTPS, and port 443. Eventually, the team decided to just send JPEG screenshots for individual frames.
AI coding tools are powerful accelerators, but acceleration without guardrails increases risk. AI-generated code is consistently more variable, error-prone, and likely to introduce high-severity issues without the right protections in place. The future of AI-assisted development is about building systems, workflows, and safety layers that amplify what AI does well while compensating for what it tends to miss. Quality requires deliberate engineering, even when using AI tools.
Semantic versioning is the most standard way of naming versions of software. Semantic versioning conversions almost never help developers prevent or remediate breakage when a dependency upgrade breaks code. Many people claim to be serious about semantic versioning, but do not have a published contract against which to evaluate changes as breaking or non-breaking. There are many better alternatives.
Every human has a limited context window they can hold in their 'working memory' to make informed decisions. This is also true for teams: they have a shared body of knowledge, code, docs, relationships, and assumptions they must keep active to plan, build, and operate. When that collective window gets too big, the team slows down, fragments, and eventually malfunctions. The fix is a deliberate shrinking and shaping of the context window so the team can think again.
MicroQuickJS is a JavaScript engine targeted at embedded systems. It compiles and runs JavaScript programs with as little as 10 kB of RAM. The engine only supports a subset of JavaScript close to ES5. To consume less memory, MicroQuickJS uses a tracing garbage collector, stores strings in UTF-8, and its VM doesn't use the CPU stack.
Miller is a command-line tool specifically designed for name-indexed data formats like CSV, TSV, JSON, and JSONL. It allows users to manipulate structured data using named fields and perform operations such as adding, dropping, sorting, aggregating, and converting between formats. It's great for handling large datasets efficiently.
The shadow DOM has some situational uses. For example, it lets you replace iframes, which are notoriously difficult to make look good. However, it shouldn't be used for everything. It is an anti-pattern, not best practice.
Meta's survey shows Python developers are split on type hints. They help catch bugs and improve tooling, but many feel the extra verbosity kills Python's vibe, especially for smaller projects. Big teams and codebases see the value, but a lot of devs still prefer keeping Python lightweight and flexible for moving fast.
Users can create large database clones in milliseconds by using filesystem-level copy-on-write functionality.
Engineers waste time debating what's “better” in absolute terms instead of discussing which tradeoffs fit their context.
The exhaustion of IPv4 addresses has led to a new normal where the entire address space is fragmented, volatile, and dominated by smaller prefixes.
Meta has found that Valve's scheduler can adapt and work very well on its large servers.
Static allocation is a forcing function that ensures that everything has a limit and a natural consequence of these limits.
AI agents expose a missing enterprise layer: decision traces that capture exceptions, approvals, and precedent that never make it into systems of record. Startups that sit in the agent execution path can persist these traces at decision time, forming context graphs that explain not just what happened, but why it was allowed. This shifts power away from CRMs and data warehouses toward new systems of record built around decision lineage and autonomy.
The structural logic for knowledge work is moving toward smaller teams with larger AI support. Companies that recognize this will operate at cost structures their competitors cannot match. Executives' value will lie in judgment, not coordination. The agent built from years of direct context that exists nowhere else is irreplaceable.
Brian Greenbaum, product designer at Pendo, became an AI advocate after a Slack message on paternity leave, leading workshops and implementing tools across teams. His approach includes rapid experimentation with AI tools and offers a playbook for organizational adoption, enhancing creativity and strategy influence. Becoming an AI champion, as Greenbaum emphasizes, significantly boosts career opportunities.
The 'vitamin vs painkiller' metaphor is a prime example of perfect hindsight, non-actionable startup advice. No founder sets out intending to build a vitamin, it's just difficult to come up with actionable tests of what's what. This article presents some concrete tests to help founders create more certainty. The advice is likely most helpful for B2B founders currently navigating product-market fit and early sales.