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Anthropic's latest model boasts the highest score on the SWE-bench Verified (77.2%), alongside major improvements in computer use, reasoning, and math. The release includes major product updates: checkpoints in Claude Code for instant rollback, the Claude for Chrome extension for Max users, and the Claude Agent SDK that makes the infrastructure powering Claude Code available to all developers.
ChatGPT now supports direct purchases from Etsy sellers via Instant Checkout, with Shopify coming soon. The system runs on the open Agentic Commerce Protocol, co-developed with Stripe, and is open for merchant integrations.
Anthropic introduced the Claude Agent SDK, expanding its capabilities beyond coding to enable building versatile agents for tasks such as finance management and customer support. This SDK equips agents with tools for context gathering, executing tasks, and iterating based on feedback, optimizing workflows through features like bash scripting and subagents. Developers can leverage the SDK for immediate integration and enhanced agent functionality.
The architecture, assembly, and kernel design techniques behind high-performance matrix multiplication on NVIDIA GPUs.
There are nine "Grand Challenges" for studying the economic effects of AI, spanning issues from income distribution to AI safety to human meaning. Economists need to start researching these issues now due to the speed of AI progress and the unprecedented resource flow towards the AI industry. By the time transformative AI, which they define as driving 3x productivity growth, arrives, it will be too late for economists to aid in the upheaval.
AI models are now useful for cybersecurity tasks in practice, not just theory. Anthropic has caught hackers using their tools and invested in making Claude Sonnet 4.5 useful for defenders looking to detect, analyze, and remediate vulnerabilities in code and deployed systems. Now, the defenders need to adopt and experiment with AI to keep pace.
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This site features design flows for embedded commerce in ChatGPT. OpenAI's Agentic Commerce Protocol is an open standard that enables purchases. It enables agents to reason over structured state, invoke tools at each step, and keep customers informed in real time. This page will help developers start with the essentials, deepen their understanding, and prepare for production with focused ACP resources.
DeepSeek-V3.2-Exp has introduced a sparse attention mechanism aimed at improving training and inference efficiency on long-context sequences.
LoRA, the most popular method for fine-tuning AI models, can match the performance of expensive full fine-tuning when applied correctly, delivering the same results at two-thirds the cost. The key is applying LoRA to all network layers (especially MLPs rather than just attention layers) and ensuring the rank is high enough for the dataset. Thinking Machines found ranks of 256-512 work well for typical post-training scenarios combined with 10× higher learning rates than fine-tuning.
OpenAI's new Sora video generator can create videos that feature copyright material unless copyright holders opt out of having their work appear. The company began alerting talent agencies and studios about the product and its opt-out process over the past week. The model will be released in the coming days. It won't generate images of recognizable public figures without their permission.
Claude Sonnet 4.5's system prompt reveals how it is able to work for 30 hours. This post goes into detail about how it works. A copy of the system prompt is available in the thread.
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There's little difference between the way humans and large language models think.
Tencent has open-sourced HunyuanImage-3.0, providing both inference code and model weights alongside a detailed technical report.
Claude Sonnet 4.5 is faster than GPT-5 Codex, and smarter and more steerable than Opus 4.1.
Logics-Parsing is an end-to-end document parsing model built on a general Vision-Language Model that excels at accurately analyzing and structuring highly complex documents.
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London Blockchain Conference 2025 brings together the largest gathering of enterprise blockchain [4] adopters, government officials, and tech leaders in Europe.
Swift announced plans to integrate a blockchain-based shared ledger into its infrastructure, starting with 24/7 cross-border payments. The system will be designed around a prototype developed with Consensys and aims to enable secure, real-time settlement of tokenized value via smart contracts while ensuring interoperability with existing systems. Over 30 global banks, including Santander, Bank of America, BNP Paribas, and HSBC, will participate in shaping and implementing the ledger, with Swift positioning it as a core part of the financial industry's digital transformation.
Strive's all-stock acquisition of Semler Scientific marks the first merger of two publicly traded bitcoin treasuries, creating a company holding nearly 11,000 BTC and establishing "bitcoin per share" as the key performance metric while signaling the start of a massive DAT consolidation wave. A Wall Street banker outlined three evolution strategies for DATs: mergers to consolidate BTC holdings and boost bitcoin per share, cash-flow acquisitions to offset dilution and fund ongoing bitcoin purchases, as demonstrated by Metaplanet's "phase two" strategy, and direct business mergers instead of messy SPAC processes that require shareholder votes and often suffer investor redemptions. The Semler deal was particularly attractive because the company's shares traded below its bitcoin value, effectively assigning negative value to its medical device business, while the merger allows both companies to access capital markets more effectively than either could independently.
Aave's Plasma deployment has seen rapid growth, reaching $6.5 billion in deposits in just three days. The increase comes as Aave leadership pushes to consolidate focus on high-performing networks, signaling a shift away from supporting dozens of L2s and alt-L1s with limited traction.
Jump Crypto's Firedancer team has proposed removing Solana's 60M compute unit (CU) block cap, allowing blocks to scale dynamically with validator hardware performance after the Alpenglow upgrade. The plan would let high-performance validators earn more by fitting more transactions into a block, while lower-tier validators would skip oversized blocks using Alpenglow's skip-vote mechanism. While Solana researchers support the direction, they also flagged risks around centralization and network stability from ultra-advanced validators.
Spotting potential "insider" activity on Polymarket using only on-chain data involves scanning the Breaking tab for rapid market shifts, then analyzing the Holders and Activity tabs for large buys from fresh wallets or clusters of small buys backing one side. For example, the Eric Adams endorsement market saw suspicious "Yes" and "No" activity shortly before his mayoral race dropout. Tools like Polysights can help surface these anomalies faster.
Meme markets are suffering from a lack of external capital flows. The industry had previously been propped up by new capital entering the market and being captured by snipers and bots, though, without inflows, the average speculator is slowly bled out by 1-3% fees. Though the market can turn around if there's another massive Dogecoin or Dogwifhat moment, some are concerned that prediction markets provide a cleaner, more transparent form of onchain speculation that could indicate the beginning of the end of memecoin speculation.
Layer 2 solutions are arguably draining Ethereum's fee revenue and user base, with ETH fee revenue collapsing since EIP-4844 (Proto-Danksharding) as L2s capture transaction fees while ETH inflation rises above the fee burn rate. The analysis claims L2s fragment the ecosystem into competing camps, breaking liquidity and composability without realistic reunification possibilities, while pushing users toward centralized L2s where the top 20 solutions can steal funds and censor transactions despite the scaling roadmap being justified for decentralization. L2 financial dominance makes pivoting back to L1 scaling impossible since breakthrough L1 technology would crash L2 token and equity prices overnight by making them obsolete, creating a vampire attack scenario where L2s steal users and fees while pretending to be equivalent to Ethereum.
Ethereum's Devconnect in Buenos Aires represents a "mic drop moment" as the first major official Ethereum event in a country where roughly 10% of citizens use crypto daily, 20% own it, and 30% live completely bankless due to decades of inflation and capital controls driving adoption of peer-to-peer finance. Unlike Devcon's large centralized format, Devconnect operates as a bottom-up, emergent festival of the Ethereum community, with this year's theme being "Ethereum World's Fair," showcasing the technology's global impact through international exhibitions of industry, technology, art, and culture. Argentina offers an ideal backdrop where landing in Buenos Aires "feels like you time-traveled 5 years forward in Ethereum adoption," while the country provides incredible experiences from asado barbecue culture to wine trips in Mendoza and adventure travel in Patagonia.
Aster has become the highest-fee-earning protocol on DefiLlama, pulling in over $25 million in daily fees and $42 billion in volume, far outpacing rivals like Hyperliquid.
Crypto network revenue has shifted over the past decade, with Ethereum dominating post-2017, Tron rising after 2022, Solana increasing in 2024, and Hyperliquid gaining ground in 2025.
The SEC must decide if 16 crypto ETF applications will be approved this October, marking a massive moment for greater institutional exposure.
Apple's rumored 2026 iPhone Fold is expected to debut as the company's first foldable, measuring just 4.5–4.8mm when unfolded—about 20% thinner than the new iPhone Air's 5.6mm. Folded, it will be 9–9.5mm thick, roughly matching current Pro models, making it both pocket-friendly and Apple's thinnest iPhone yet in use.
Adobe released Firefly Boards worldwide, an AI-powered ideation platform featuring new video models Runway Aleph and Moonvalley Marey alongside existing partners like Google, Luma AI, and Pika. The platform now includes Presets for quick style generation, Generative Text Edit for in-visual text modifications, and Describe Image for converting visuals into editable prompts.
Adidas has introduced a redesigned logo for its 2026 World Cup kits, featuring a hidden monogram that becomes visible under UV light. The updated emblem subtly integrates a repeated three-stripe pattern within the classic logo, creating a holographic effect that plays on the brand's identity. This design refresh balances innovation with tradition, reinforcing Adidas' position at the intersection of sport and fashion.
Taglines are experiencing a resurgence as brands like Nike, Ford, and TAG Heuer deploy concise phrases to cut through increasingly complex marketing landscapes and AI-driven changes in consumer behavior. Effective taglines require strategic clarity about their specific role within the broader brand system, rather than serving as standalone solutions to marketing challenges. The most successful taglines, like Nike's evolution from "Just Do It" to "Why Do It?", work by building on established brand-audience dialogues and functioning as integrated parts of a comprehensive storytelling approach.
Product design is rapidly transforming as AI becomes foundational, with designers expected to be hands-on builders who can prototype and ship products to production, regardless of their seniority level. The traditional boundaries between design, product management, and engineering roles are dissolving, requiring designers to think in systems, embrace AI tools on a daily basis, and demonstrate their value through actual working prototypes rather than documentation or handoffs. Designers must shift from being specialists who create pixel-perfect deliverables to curators who utilize AI to rapidly iterate and ship, while developing a personal learning syllabus to stay relevant in this AI-native era.
Self-promotion can feel awkward, but for creatives it's essential — and it doesn't have to be cringey. You can build visibility and trust by focusing on honesty, consistency, and sharing what excites you. Treat it as play rather than pressure. Over time, self-promotion becomes less about bragging and more about confidently connecting your work with the world.
Animant is a new platform that utilizes AI to seamlessly integrate text, audio, video, and 3D models, delivering presentations that your audience won't forget.
Generate production-ready assets, keep every shot on track, and accelerate artists without losing creative control.
Create stunning UIs for your apps and websites with AI tools like Lovable, v0.dev, Cursor, and more.
When companies face uncertain roadmaps due to shrinking back to a startup size, designers should focus on work that saves future effort by documenting designs and organizing requirements for deprioritized features that might be revisited. Design debt should be tackled strategically, but explained in business terms that demonstrate value, such as resolving consistency issues that prevent user errors or reducing the number of support tickets. Uncertain periods also provide ideal opportunities for user research, as the timing cost is lower when teams are already waiting for direction.
A designer found that jumping straight into Figma led to aimless designing and constant redesigns because the real bottleneck was unclear thinking about who the product served and what problem it solved. To address this, they developed a repeatable Notion workspace and Figma system that handles strategic pre-design work—such as problem statements, competitive analysis, user research, and information architecture—before any visual design commences. This process reportedly doubled their output and helped build multiple six-figure products. It now forms the foundation of their teaching method for product design students.
The rise of agentic AI is reshaping design and product development, moving from static, deterministic tools to autonomous systems that generate adaptive experiences on demand. At DataRobot, this shift has led to agent-aware templates, design systems, and governance practices that help balance speed with quality, highlighting that while AI accelerates execution, the uniquely human work of deep understanding, judgment, and craft is more valuable than ever.
Enterprise AI development requires abandoning traditional six-to-twelve-month roadmaps in favor of strategic shifts: deploying small, domain-tuned models that reduce costs and latency; building modular, open-source platforms; and embedding responsible AI practices throughout the development process.
Effective typography hierarchy requires understanding content first, using size intentionally with consistent scaling, pairing font weights strategically, and limiting typeface choices to one versatile family or a well-matched serif-sans combination.
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