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27,487 matchesINTRODUCING BUILD MODE
xAI launched Build Mode for SuperGrok Heavy subscribers, letting users generate, edit, preview, and publish websites, apps, games, and dashboards directly from chat. Projects require no setup and can be shared through grok.me links or custom domains.
OPENAI'S AGENTS HACKED SECOND ACCOUNT DURING MODEL TESTING
Modal Labs says that one of its customers' assets was hacked when an OpenAI agent broke into Hugging Face's systems earlier this month. Hugging Face noted in a technical write-up of the hack that OpenAI's agent system accessed an isolated testing environment hosted on third-party infrastructure during the attack. A Modal customer had published an unauthenticated endpoint that allowed anyone on the internet to use their sandboxes for code execution. This was used by the rogue agent.
PACING THE FRONTIER
AI could help create a dramatically better future. The world's leading AI companies believe they could be close to automating AI research. There is a real risk that capability development rapidly accelerates beyond researchers' ability to understand or control the resulting systems. Over a thousand employees from frontier AI companies have signed a statement requesting that the US government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.
KIMI K3 ARCHITECTURE NOTES
Kimi K3's architecture is essentially a scaled-up production version of the Kimi Linear model released last year. The model seems to be trending toward better inference efficiency. It now has native multimodal support. This post summarizes some of the major changes and additions noted in the open-weight model release.
THE INFERENCE ENGINE GUIDE FOR K3 DEPLOYMENT
Kimi K3 is a 2.8-trillion-parameter multimodal MoE (16 of 896 experts active per token) with a context window of up to 1M tokens. Its architecture departs from a standard transformer in several ways. Each changes what a serving engine has to do. This post looks at Kimi K3's architecture and how vLLM serves it.
ANATOMY OF A FRONTIER LAB AGENT INTRUSION: A TECHNICAL TIMELINE OF THE JULY 2026 INCIDENT
An autonomous AI agent driven by a combination of OpenAI models ran an end-to-end intrusion against Hugging Face's platform over roughly two and a half days. The models made thousands of small, automated decisions, and executed at machine speed across short-lived sandboxed environments. Command-and-control was staged on ordinary public web services. The intrusion was likely, from the agent's point of view, an attempt to cheat on an evaluation by stealing test solutions rather than solving a challenge on its own.
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WE REWROTE OUR AGENT TO RUN ENTIRELY IN A DURABLE OBJECT WITH PI, AGENTS SDK, AND CODE MODE
camelAI recently moved its agent off of virtual machines and onto a Cloudflare Durable Object. Its file system lives in SQLite and R2, and it writes JavaScript instead of bash. The team moved off VMs because giving every user an always-on machine with attached disk was too expensive to scale. This post explains how the team completed the migration. camelAI's codebase recently went open source.
MANAGED GEMINI AGENTS GAIN MORE CONTROLS
Google updated Gemini API Managed Agents with Gemini 3.6 Flash, environment hooks for inspecting tool calls, budget controls, scheduled triggers, model selection, and free-tier access.
DISCOVERING CRYPTOGRAPHIC WEAKNESSES WITH CLAUDE
Researchers at Anthropic used Claude Mythos Preview to uncover weaknesses in cryptographic algorithms, notably improving attacks on the HAWK digital signature scheme and round-reduced AES. The AI model efficiently identified flaws previously undetected by human experts, showcasing its potential in cryptographic research. While these findings don't impact current systems, they highlight AI's role in enhancing security standards and stress-testing cryptographic designs.
MAGE
Mage is a lightweight, research-friendly multimodal model family. It was built with a fixed 4B-parameter budget. The models are compact enough to train, fine-tune, and deploy onto modest hardware while remaining competitive with much larger open systems. Mage-VL is an efficient codec-native streaming multimodal foundation model, and Mage-Flow is an efficient native-resolution foundation model for image generation and editing.
THE REAL AI RISK IS INSIDE THE LABS
AI should not be considered safe. The danger is that there are just a few CEOs around the world, without the required background and legitimacy, making hard choices for humanity at large. They weren't selected to do so, it was just chance that created this setup. They have GPUs and money, but given the stakes, they shouldn't be speaking for everybody.
THE AI FUTURE IS FOR EVERYONE
Widely distributed personal superintelligence could shift AI from automation toward invention, entrepreneurship, and individual agency. Concentrating advanced intelligence in a few institutions risks economic and political imbalance, while broad access, open systems, and targeted safeguards create stronger checks and balances.
THE AI FUTURE IS FOR EVERYONE
As AI continues to improve, the question isn't whether superintelligence will exist, but who will have access to it. The technology could be centralized and restricted to a few institutions, or it could be used to empower everyone. The notion that AI is such a threat that the only safe path is an extreme concentration of power seems dangerous. Historically, hoping that an absolute power will benevolently provide for humanity if sufficiently enlightened hasn't led to safe or positive outcomes.
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CODEX SECURITY
Codex Security is a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities.
FISH AUDIO LAUNCHES S2.1 PRO WITH SUPPORT FOR 83 LANGUAGES
Fish Audio has launched S2.1 Pro, a real-time conversational speech model supporting 83 languages.
MOONSHOT OPENLY DEFIES THE TRUMP ADMINISTRATION
Moonshot is seeking access to additional Nvidia GPUs to train its next model.
AMAZON REPORTEDLY PLANS TO CONSOLIDATE NOVA AI MODELS
Amazon plans to shift from having a wide portfolio of models for text, images, video, and multimodal tasks toward having a single frontier model.
SK HYNIX PERPETUALS HIT BY FLASH CRASH TO $900 ON HYPERLIQUID
SK Hynix perpetual futures on Hyperliquid flash-crashed 20% to $900 on July 28 between 23:00 and 23:01 UTC, recovering above $1,000 within one minute, with analysts attributing the move to thin overnight liquidity that left the venue unable to absorb large orders at stable prices. The crash preceded SK Hynix shares falling 15% when the Korean Stock Exchange opened an hour later, alongside an 11% Kospi decline and losses at Samsung Electronics and Hyundai Motor, underscoring crypto perps acting as a price-discovery venue ahead of the underlying equity market. The equity selloff connects to a broader AI hardware correction: Nvidia fell 5% on reports of a $250 billion data-center commitment to an OpenAI-affiliated venture, dragging SK Hynix, a primary supplier of high-bandwidth memory chips for AI processors, to a cumulative decline of close to 48% from its June 26 peak.
CRYPTO STEADIES AS IRAN-US PAUSE SENDS OIL TUMBLING
An Iran-US ceasefire over the Strait of Hormuz drove Brent crude down 7% to ~$87/barrel, easing inflation concerns and boosting risk appetite across asset classes. CME FedWatch pricing for a Fed rate hike this week fell from 37.4% to 30.5% following the de-escalation, with inflation running at 4.1% ahead of the decision. Bitcoin held flat at $65,200 while Ether gained 0.51% to $1,963, approaching the $2,000 level, and the CoinDesk 20 Index added 1.6% over 24 hours. DeFi tokens led the recovery: AAVE and LDO each gained around 9%, ONDO rose 7%, and PUMP surged 12.24% toward an $800 million market cap.
BASE LAUNCHES BASE VERIFY ONCHAIN FOR SYBIL-RESISTANT AIRDROPS
Base Verify Onchain lets smart contracts enforce "one real person, one claim" by generating a deterministic identity hash tied to a verified Coinbase, Instagram, X, or TikTok account without exposing personal data to the contract, replacing the need for developers to run their own off-chain dedupe database. The underlying Base Verify system has been used over 300,000 times for partners including Base App and Bracket. Use cases include airdrops resistant to wallet-farming, per-person token sale caps, and one-person-one-vote governance.
STRUSD: INSTITUTIONAL DELTA-NEUTRAL YIELD ON-CHAIN
Tori Finance's strUSD is a yield-bearing token backed by institutional delta-neutral strategies targeting 12% APY, with returns structured to be uncorrelated with crypto market direction. The strategies powering strUSD previously required eight-figure capital minimums, restricting them to large institutions. Onchain tokenization removes that floor entirely. The token deploys with day-one DeFi integrations, making strUSD available as a composable yield layer for protocols seeking low-correlation returns.
VISA STABLECOIN PLATFORM EXPLAINER: WHY VISA LAUNCHED WITH OPEN USD
The new Visa Stablecoin Platform (VSP) lets banks and fintechs mint, burn, and manage stablecoins through a single Visa-run environment, launching with Open USD because banks trust bank-governed stablecoins over Circle or Tether. EY Parthenon found 63% of corporates want stablecoin access via their own bank. VSP supports Ethereum, Solana, and Tempo with maker/checker controls, passkey signing, and wallet-as-a-service, mirroring how Visa DPS lets thousands of issuers process debit without building their own infrastructure. Visa's approach of not picking winners will scale quickly since every participating bank becomes invested in the network's growth.
THE RISE AND QUIET DEATH OF THE NEOBANK
A live audit of 368 verified-active neobanks serving a combined 1.46 billion users finds Asia holding 817 million of those customers, with WeBank alone at 400 million-plus and Nubank's 131 million Latin American users exceeding the entire US neobank base, while Revolut's 50 million European accounts are a footnote by comparison. Only 127 of the 368 hold a full banking license, leaving the majority dependent on sponsor banks and BaaS intermediaries whose failures routed customers into bankruptcy proceedings rather than deposit insurance, because the ledger tracking which dollars belonged to whom was the layer that broke. Among neobanks founded in the 2020s that remain active, 30% are web3-native self-custodial apps versus 4% of the 2010s cohort, and an audit of AI claims found only 67 of 368 companies (18%) with verified production deployments, led not by Western incumbents but by thin-file lenders in Nigeria, the Philippines, and Mexico where model-based underwriting is the prerequisite for the business to exist at all. Machine-to-machine banking rails for AI agents is a seven-company niche today that structurally resembles where web3-native finance sat in 2021.
WHEN DO STABLECOINS BECOME A REAL MONETARY SYSTEM?
Stablecoins only become a true monetary system once they're used on the liability side of the economy. This means paying suppliers, wages, and taxes, and that high matching between stablecoin receivables and payables lets economic activity run without constantly converting back to bank deposits. Stablecoins don't eliminate banking but relocate it, becoming a private monetary base on top of which a new form of banking will be rebuilt to supply credit and elasticity.
BITMINE NEARS GOAL OF CONTROLLING 5% OF ETHEREUM SUPPLY
Bitmine Immersion Technologies now holds 5.79 million ETH (approximately 4.8% of circulating supply), valued at roughly $11.3 billion, closing in on its 5% concentration target with weekly purchases that accelerated to 9,946 ETH last week from 7,430 the prior week. Approximately 85% of holdings (4.9 million ETH) are staked through its MAVAN validator network, projecting $299 million in annualized staking rewards once the full position is deployed. Total assets reach $11.8 billion across ETH, 208 BTC, $268 million in cash and securities, and strategic equity stakes in Beast Industries and Eightco Holdings, making Bitmine the largest corporate Ether treasury among public companies. The ETH/BTC ratio hit a 3-month high of 0.3000 last week as ETH gained approximately 2.4% against Bitcoin's 0.7% decline, coinciding with Bitmine repurchasing 11.6 million common shares since July 1 under a $4 billion buyback program.
ROBINHOOD CHAIN SHOWS FASTEST MONEY VELOCITY AMONG MAJOR CHAINS
Robinhood Chain turns over 1.66x its TVL in daily DEX volume on a 30-day average, versus 0.21x for Base, 0.17x for Solana, and 0.03x for Ethereum.
STRIPE HIRING A PRODUCT LEAD FOR ITS LINK WALLET
Stripe is hiring a product manager to build out Link, its consumer money-and-identity wallet spanning mobile, web, and API.
TOKENIZED EQUITY TRADING IS SHIFTING TO RFQ EXCHANGES
RFQ now accounts for 75% of tokenized-equity trading volume, up from earlier dominance by concentrated-liquidity AMMs and a PropAMM phase that briefly hit 50%, because equities are still priced by the underlying stock market and RFQ makers can hedge instantly against real shares without pre-funding pools for every stock-USDC pair.
KYLE SAMANI AND MULTICOIN CAPITAL'S PUBLIC FALLING-OUT
Kyle Samani's departure from Multicoin Capital has become a public falling-out, with both parties trading barbs over a hard thesis split.
ARTIST SUES AI MEME GENERATOR FOR SELLING DEEPLY PERSONAL COMIC AS AD TEMPLATE
Filipino artist Elmer Saflor sued Memes Apps, alleging its AI meme generator sells subscriptions that reproduce his viral "Running Away Balloon" comic as an ad template without permission. Legal expert Eric Goldman notes precedent favors Saflor, since prior rulings suggest meme use in ads isn't fair use, though proving harm and targeting the generator rather than advertisers could complicate the case. Saflor seeks a court order halting the template's use and an accounting of ad profits, framing the suit as a broader push to protect creators' rights as AI platforms scale.
GEORGE CLOONEY, TOM HANKS, AND MERYL STREEP BACK NEW ‘HUMAN CONSENT STANDARD' FOR AI LICENSING
A group of Hollywood actors and producers, including George Clooney, Tom Hanks, and Meryl Streep, are backing a new "Human Consent Standard" letting people set terms for how AI systems use their likeness and creative work. Overseen by the nonprofit RSL Media, the standard builds on last year's Really Simple Licensing Standard and lets AI systems check permissions via robots.txt and a registry launching in June. Unlike RSL, which applies to content at specific URLs, the new standard covers a person's identity, character, or work wherever it appears online.
META AI IS MOVING INTO YOUR THREADS DMS, WHERE AWKWARD AI CHATS BELONG
Meta is moving Meta AI into Threads DMs after feedback showed that many users were uncomfortable interacting with AI publicly in their feeds. Users can privately ask questions about posts, conversations, and other topics, with options to delete chats or mute the AI account. Meta is still testing public Meta AI interactions in the Threads feed in a limited number of countries while it gathers more feedback.
I HANDED A UX REVIEW OVER TO AI. HERE'S WHAT HAPPENED
A UX practitioner tested Claude Fable 5 and ChatGPT-5.6 Sol against manual analysis on a real portal review, feeding both models the same brief, research, and analytics data. Both AI models generated reviews filled with irrelevant or invented issues, though Claude proved somewhat more accurate and produced a single coherent document. The author concluded AI works best as a partner grounded in expert-defined heuristics rather than a replacement, and plans to build a custom "agent skill" encoding personal UX judgment for future projects.
HOW FIGMA STAYS AHEAD OF VULNERABILITIES WITH AGENTS
Figma's security team built agentic systems that guard code generation, review pull requests, and audit its decade-old monorepo, all governed by one shared policy. Prioritizing precision over recall proved essential, since historical bugs only measure recall while trust requires developers see mostly valid findings—the team hit 70% precision before enabling PR comments, later reaching 80%. The resulting policy became a de facto threat model, powering hooks that steer secure code generation, adjudication passes that boost recall, and feedback loops that continuously refine detection from bug bounty reports and false-positive dismissals.
A CONCRETE DEFINITION OF “PRODUCT SENSE” (AND HOW TO BUILD IT)
As AI takes over more execution work, product sense—the ability to decide what to build—is becoming increasingly valuable, but it requires more than consuming product critiques, research, and industry knowledge. Strong product sense develops by repeatedly completing the full product cycle: understanding problems, making decisions, implementing solutions, measuring outcomes, and reflecting on whether experience-based patterns actually applied. Building reliable intuition therefore requires staying close enough to your work to see its consequences, while recognizing when unfamiliar or misleading situations demand evidence rather than instinct.
AI NUDGES, BIASES & HEURISTICS
45 interactive field cards covering nudges, biases, heuristics, and AI phenomena. A practical reference for designers, researchers, and product teams building with AI.
TURN ANY VIDEO OR AUDIO INTO ACCURATE TEXT
Voqusa is a free AI transcript tool that converts videos from TikTok, YouTube, Instagram, Facebook, Twitter/X, LinkedIn, and Pinterest into text.
ORIGINKIT
A free library of animated website components, ready to copy as code into a project or drop straight into Framer.
ACCESSIBILITY IS RESISTANCE!
A blind author explains why they rely heavily on AI tools, using an inaccessible EAA document and image-poor product pages as examples. Screen readers, ChatGPT/Claude, Meta Ray-Bans, and apps like Oorion help them navigate text, describe images, and locate objects independently. They distinguish "AI as augmentation" from "AI as compensation," arguing better human-built accessibility would reduce reliance on AI, and urge readers to prioritize accessibility as a form of resistance.
PLAYFUL RETAIL IS SERIOUS DESIGN WORK
Interactive retail spaces that feel spontaneous, like the Coach Charm Playground at Selfridges, actually require immense hidden planning and discipline to execute safely and smoothly, according to Studio XAG. The project involved navigating regulations, testing over 150 sample sets, and executing overnight installs with precision compared to a Formula One pit stop. Key lessons highlighted include protecting the core idea through production, learning from workshop fabricators, and prioritizing real human behavior over portfolio aesthetics.
STATS SHOW LINKEDIN'S ‘OPEN TO WORK' BADGE WORKS. DESIGNERS SAY IT COULD BE EVEN BETTER
LinkedIn's "Open to Work" badge, active for six years, resurfaced as a debate topic after an engineer's viral X post called it a negative signal to recruiters.
DISNEY'S OZZY FOX IS GOING VIRAL THANKS TO 'AI SLOP' ACCUSATIONS
Disney's new preschool cartoon "Ozzy Fox" went viral after viewers accused it of being "AI slop," despite the show not actually using generative AI.
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INSIDE ZIG'S INCREMENTAL COMPILATION
The implementation of incremental compilation in the Zig compiler allows for fast rebuilding by detecting changes in individual functions and declarations. This feature has evolved from a proof-of-concept to a reliable tool that speeds up development workflows, with rebuilds taking only milliseconds after the initial build. The process involves a detailed pipeline, including file processing, semantic analysis, code generation, and linking.
DISCOVERING CRYPTOGRAPHIC WEAKNESSES WITH CLAUDE
Researchers have used the Claude Mythos Preview to identify vulnerabilities in cryptographic algorithms, specifically targeting the HAWK digital signature scheme and the Advanced Encryption Standard (AES). The first discovery shows an attack that effectively weakens HAWK's security by halving its key strength without affecting deployed systems, while the second improves attack efficiency on a reduced-round version of AES by up to 800 times.
YOU DON'T HAVE TO BE SMART IF YOU CAN THINK CLEARLY
Effective problem-solving in engineering requires the ability to think clearly and methodically, especially when faced with challenges that cannot be solved intuitively. Smart engineers often struggle when they encounter such problems, whereas strong engineers are able to systematically evaluate and address issues.