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Dario Amodei is the CEO of Anthropic. His commitment stems from the loss of his father, who died from an illness that became curable shortly after his death, which fuels his desire to accelerate technological progress. He founded Anthropic after leaving OpenAI with the goal of developing leading large language models with a strong emphasis on safety and ethical practices.
A "periodic table" of recurring system design principles from various domains in computer systems, with the aim of creating a shared vocabulary for reasoning about structure, trade-offs, and design choices.
A bug caused by JavaScript's `new Date('YYYY-MM-DD')` constructor interprets the date as midnight UTC, leading to unexpected filtering behavior in a Japanese admin dashboard where data before 9 AM was excluded due to the UTC+9 timezone.
A 39-line client-side JavaScript snippet can automatically reload a static website in the browser whenever changes are detected in the source files, using HTTP HEAD requests to monitor Last-Modified and ETag headers.
Instead of focusing on individual developer metrics like cycle time, improving software delivery velocity requires a systems-level approach that considers team trends, system improvements, and the inherent variability of software development.
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While Big Tech struggles with VR adoption, Immersed has cracked the code: 1.4M users spend up to 40-60 hours per week in their productivity software - more engagement than any AR/VR app globally.
Meta is reportedly working on a smart watch designed to complement both the company's smart glasses and Quest headsets. The device will be able to see the world around the user through built-in cameras. Meta planned to launch a similar pair of smartwatches in 2022. More information about the project is likely to be revealed during the company's annual developer conference, Meta Connect, set to kick off on September 17.
Microsoft Edge's new Copilot Mode allows users to browse the web while being assisted by AI. The AI can understand what the user is researching, predict what they want to do, and then take action on their behalf. It is still considered an experimental feature and is opt-in by default. The feature is currently free for any Mac or PC user with access to Copilot.
A full-scale, piloted winged tilt-rotor eVTOL designed for commercial service flew from one airport to another for the first time ever earlier this month. Vertical Aerospace's vehicle flew 17 miles, during which it reached speeds of 115 miles per hour and an altitude of 1,800 feet. The prototype has a fixed-wing configuration with eight propellers. It was designed to accommodate one pilot and four passengers or cargo and travel a maximum range of 100 miles. Video of the flight is available in the article.
China's two biggest satellite internet networks have deployed less than 1% of their planned satellites. One of the reasons for this slow pace is China's lack of a reliable, reusable launcher. SpaceX's partly reusable Falcon 9 rocket has propelled the company far ahead of its competitors. While Starlink is intended for civilian use, it has become essential for communications in war zones.
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In this livestream, you'll learn why small, task-specific LLMs might outperform giant general-purpose models. JetBrains and Hugging Face introduce Mellum, an open-source model for code completion [9], and make the case for focal models that prioritize performance, sustainability, and accessibility.
Google released a Linux Terminal app earlier this year, but only recently published documentation for it. The app is aimed at letting developers build Android apps directly on Android devices and will eventually allow users to run full-fledged graphical Linux apps and games. This could eventually transform Android into a first-class desktop platform that rivals macOS and Windows. The app currently doesn't support ARM-based CPUs.
Building effective AI agents is about system design and proper software engineering. Focus on clear instructions, lean context management, robust tool interfaces, and automated validation loops. Look for missing tools, unclear prompts, or insufficient context when debugging agents. Put error analysis first in the development process - let models help understand where the agent failed, then systematically address those failure modes. The goal isn't to create perfect agents but to make reliable and recoverable ones that fail gracefully and can be improved iteratively.
Internet advertising gave us free content and services, and a mostly open Internet. That is now collapsing with the advent of AI. Content has now become training data for AI, unleashing a whole new wave of crawlers on the web that often offer nothing in return. AI companies repurpose the content they ingest and serve it directly to users without sending them to the original source, breaking the ad-based structure of the Internet. Content creators are rapidly fencing off their gardens, putting up paywalls and anti-bot measures so aggressive that users are having trouble accessing sites. Humans are retreating to more intimate corners of the web, naturally gravitating to spaces where real identity and authenticity are ensured.
The future will be increasingly augmented by AI. Designers need to be closer to the development of the technology to help shape the systems that will define how tomorrow's software is built. The industry needs builders who understand agentic flows, designers who can reason about trust boundaries and token windows, and researchers who can make complex systems usable without dumbing them down to a chat interface. Designers today have the tools to change the world with their ideas.
This guide presents practical strategies for building production systems with AI coding assistants.
The jhanas are altered states of consciousness described in the Theravada Buddhist tradition.
Samsung's giant new Texas fab will be dedicated to making Tesla's next-generation AI6 chip.
Subscribers are running Anthropic's AI coding tool, Claude Code, continuously in the background, 24/7.
Leaked images of the iPhone 17 Pro hint at a redesigned camera bar.
Writing code is fun, but that's actually not the job - the real work happens outside of the IDE.
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The new wave of AI tools leads with PLG. If you're not offering an easy way into your product, you're not gonna make it. But being overly-generous with expensive inference and API calls can jeopardize your business's viability.
Microsoft introduced Copilot Mode in Edge, an experimental AI-driven feature designed to transform traditional web browsing. It assists users by predicting next steps, summarizing content, and reducing tab overload to streamline interaction with the web.
xAI is preparing to introduce several major updates to its Grok app. One substantial addition is the Imagine feature, which unlocks Grok's new generative AI models for images and videos. The relatively few restrictions on Grok's image and video generation models could spark viral use once rollout widens. There is no firm launch date, but it is likely xAI will time the rollout to coincide with the release of GPT-5.
Tesla secured a $16.5 billion agreement with Samsung to manufacture its AI6 chips at a new Texas facility.
Startup Z.ai (formerly Zhipu) launched GLM-4.5, claiming it costs less to operate than DeepSeek due to its smaller size and ability to decompose tasks into sub-goals. The startup, backed by the Chinese government, previously gained OpenAI's attention for securing significant contracts in China despite competition from larger firms.
Researchers tested 19 LLMs across 76,977 participants and found that specialized post-training techniques boosted AI persuasiveness by up to 51%, far exceeding gains from simply using larger models. The most effective strategy was prompting models to deploy dense factual information, but this came with a troubling tradeoff: the most persuasive AI conversations were the most inaccurate.
Despite international reports of China's rapid nationwide DeepSeek deployment, the reality behind the hype reveals a struggling market for specialized "all-in-one machines" — hardware appliances pre-loaded with DeepSeek models that allow private deployment to meet regulatory requirements. Consultation requests have plummeted from hundreds to just ten daily since April, with almost no repeat customers according to Chinese sources.
AI 2027's progress on developing advanced agents lags behind its projected timeline. The delay affects plans for deploying sophisticated AI systems. This may impact timelines for AI integration across various industries.
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Writer's Action Agent [13] is a researcher, a strategist, a data scientist, and a programmer. Give it a goal and it puts together a multi-phase plan, then executes to deliver exactly what you need: reports, slide decks, spreadsheets, and more. Give Action Agent a
Efficiency Leverage (EL) is a metric that quantifies the computational advantage of Mixture-of-Experts models. Based on experiments with over 300 models, these authors present scaling laws that predict EL using MoE configuration parameters.
mcp-context-protector is a security wrapper for LLM apps using the Model Context Protocol (MCP). It defends against line jumping attacks with features designed to help expose malicious server behavior. The wrapper proxies tool calls and other operations to the downstream server, making it compatible with any MCP server and any MCP-compliant host app. Developers are able to add any sort of control suited to their organization's use case.
System design and proper software engineering are required for building effective AI agents. Developers need to focus on clear instructions, lean context management, robust tool interfaces, and automated validation loops instead of finding a silver bullet of a great prompt or an advanced framework. Error analysis is paramount - models should be used to help developers understand where agents fail so that those failure modes can be systematically addressed. The goal is to create reliable and recoverable agents that fail gracefully and can be improved iteratively.
Harmonic's AI model, Aristotle, offers 'hallucination-free' answers for questions involving mathematical reasoning. The startup is focused on creating mathematical superintelligence and eventually wants to help users in all fields that rely on math. It will eventually release an API to let enterprises access Aristotle, as well as a web app for consumers. Aristotle achieved gold medal performance on the 2025 International Math Olympiad through a formal test, meaning the problems were translated into a machine-readable format.
Ads gave us an Internet that was mostly free and open. AI has introduced a new problem for content creators: a new wave of bots crawling sites for content to train AI, often taking value and offering nothing in return. This is causing content creators to put up walled gardens or bot protections. The prevalence of AI-generated content is causing people to seek more authentic spaces, resulting in a cozy web of niche communities.
Microsoft's Copilot Appearance is a real-time animated character that responds with facial expressions during conversations.
Anthropic will impose weekly rate limits starting August 28 for Claude Pro and Max subscribers to prevent misuse and manage intensive usage patterns.
Google Chrome is rolling out store reviews in the U.S., using AI to summarize feedback from Google Shopping and popular review sites.
Solana co‑founder Anatoly Yakovenko labeled memecoins and NFTs “digital slop” with no intrinsic value, comparing them to exploitative loot boxes, prompting Base creator Jesse Pollak to counter that the content itself can hold fundamental worth. Yakovenko conceded memecoin activity was crucial to Solana's rise but argued it was akin to Apple's revenues from loot boxes rather than meaningful innovation. Data shows memecoins made up 62 % of Solana dApp revenue in June and drove roughly $1.6 billion in H1 2025. Pump.fun and PumpSwap have captured most of the market share, though rivals like LetBonk are now challenging their dominance in 24‑hour launchpad revenue.
The rapid growth of Ethereum treasury companies (holding around 0.9% of total ETH supply) is a key driver of fresh demand for Ethereum, fueled by corporate interest in staking yields. While this model offers potential annual yields of 3-5%, it introduces liquidity concerns and smart contract risks. Successful adoption depends heavily on prudent risk management amid regulatory clarity, stablecoin expansion, and asset tokenization.
The creator economy's core problem is misaligned economics, while new onchain primitives like tips, collectibles, and content coins rebalance flows among creators, fans, and platforms. Tipping tools like Noice and Tipn turn engagement into programmable micro‑payments but lack shared upside – Farcaster's 1‑of‑1 collectibles route 90% of auction proceeds to creators, yet only one collector benefits. Content coins pair media with ERC‑20s to reward early belief and scale with distribution, though they import memecoin‑style speculation that UX choices try to soften. The real unlock is programmability and interoperability: tips, collectibles, and coins can compose into access, loyalty, and revenue‑sharing layers, pointing to a modular stack where creators define their own economics and value moves openly across the web.
MetaMask Mobile now offers “Stablecoin Earn,” letting users earn passive income by depositing USDC, USDT, or DAI directly into Aave without leaving the wallet. The feature has no fees or lock-ups, provides aTokens in return, and allows one-click withdrawals, all while keeping full self-custody and avoiding KYC.
Solana's recent onchain activity is propped up by “crime”‑driven mechanics like bundled tokens, insider trading, and engineered liquidity rather than organic demand, masking deteriorating network health. This “crime gap” parallels historical market manipulations like the Sumitomo Copper Affair and is destined to collapse once fresh capital inflows wane. As macro pressures mount and artificial supports fail, a rapid capital exit will likely ensue, leaving memecoin insiders to extract remaining value. Ultimately, the cycle will pendulum back toward utility‑focused projects on more robust chains as raw casino‑style speculation loses its late‑cycle edge.
Every DeFi pitch hinges on two questions: “Is this app worth building?” and “Can this team execute it?” Founders must lead with a clear hook, justify why now, articulate a smooth user journey, nail a focused wedge, and inject creative UX to stand out. Execution then depends on acknowledging risks, prioritizing live demos over decks, showcasing unique team expertise, and laying out a phased, strategy‑driven roadmap.
Repealing the IRS “DeFi Broker Rule,” passing the GENIUS Act and the Digital Asset Market Clarity Act, plus an SEC “innovation exemption” proposal, signals that regulators are engaging, but rules must balance consumer protection with innovation. Policymakers should both acknowledge DeFi's self‑custodial, permissionless architecture and set clear standards, focusing on three gaps: outcome-based disclosures (how it works, what can fail, who controls what, and who's accountable), control-based liability, and pragmatic compliance for self-custodial systems. Existing laws can still address fraud, manipulation, and sanctions evasion without compromising trustless design. Thoughtful frameworks can make onchain markets safer, more sustainable, and institution-ready.
Aave DAO voted to reduce AAVE token emissions by another 25% while keeping buybacks steady, making the protocol even more net token-accretive. Since initiating the buyback program, the treasury's cash reserves have grown 20%, and the DAO now holds 66,512 AAVE with a 37.49% unrealized gain. This strengthens long-term sustainability and could pave the way for Anti-GHO proposals outlined in Aavenomics.