The US has reached a preliminary deal with China on the fate of TikTok. Both sides have agreed to a framework to divest TikTok from ByteDance. President Trump and Xi Jinping are set to speak on Friday to approve the deal.
Retro Biosciences is gearing up for a clinical trial of a drug aimed at reversing the effects of Alzheimer's disease. The drug could potentially restore cognitive function in ways that could redefine longevity treatments. Retro's approach leverages cellular reprogramming techniques. The upcoming trial will test the pill's efficacy in human subjects.
Researchers have created an ultrasound helmet that could offer an alternative to invasive procedures. It can modulate deep-brain circuits without surgery with unrivaled precision. The helmet offers a safe, reversible, and repeatable method for both understanding brain function and developing targeted therapies. It has potential clinical applications for neurological disorders like Parkinson's disease, where deep-brain regions are especially affected.
Over 6 million tech professionals read TLDR including developers, product managers, marketers, designers and executives. Get in front of your target audience with an ad placement just like this one! Learn more [9] about running a test campaign.
Android Studio recently added a new feature that warns users when they connect a slow cable to their phones. This post presents a script that checks USB connections in macOS. The script was originally cobbled together with AI, but while it worked, it was a mess to maintain. The developer used AI to port it to Go so the code could be structured more legibly and more easily tweaked.
Apple has a custom CSS property named -apple-visual-effect that allows the use of Liquid Glass in iOS 26. It only works by toggling a private setting in WKPreferences, so using it means no App Store approval. No one outside of Apple can use it - and no one knows where Apple is using it.
It's possible to build a space-ready CubeSat using just a few thousand dollars of parts. Many CubeSats use Raspberry Pis and other off-the-shelf components. This post introduces CubeSats and shows readers how they can build their own CubeSats. It also covers several CubeSat projects by other creators.
Genuine human content is increasingly being sidelined by algorithms. Engineered content and AI slop optimized solely for clicks are being prioritized. Early social media was built for connection. The generative AI-fueled attention economy has broken that illusion. Feeds are no longer crowded with people, but with content.
Adding AI features shouldn't mean duct-taping together operational databases + vector stores + analytics. MongoDB Atlas does all of the above [4] plus full-text search, real-time data, and stream processing.
OpenAI upgraded its Codex agent with GPT-5-Codex, a new model capable of dynamically allocating compute time per task, ranging from seconds to hours, leading to better performance on complex coding benchmarks.
As part of restructuring into a for-profit company, OpenAI said it expects to keep an additional $50 billion by reducing its revenue share with Microsoft, which was originally introduced as a concession in exchange for exclusive use of Microsoft's cloud servers.
Reve has launched a new image creation platform that combines an image creator, a drag-and-drop editor, a creative assistant, and an API. The platform uses a unique Layout Representation to enhance precision, bridging language and vision for seamless editing. Users gain granular control over visual elements, enabling more intuitive image manipulation.
Instead of random hash IDs, this experiment embeds semantically meaningful item tokens into an LLM, enabling natural language recommendations and interpretable, chat-based interactions.
Harvard's PDGrapher AI model identifies gene-drug combinations that could restore healthy cell states, targeting diseases like Parkinson's and Alzheimer's. The tool accelerates drug discovery by predicting viable pairings and providing mechanistic insights. This aligns with a trend of using AI in biotech, where models like AlphaFold revolutionize scientific research.
Are you in pilot purgatory or production-ready? This Roadmap will help you figure out where your organization stands [10] and what it will take to move forward. It includes a practical model to assess AI maturity across five critical dimensions: vision, people,
Meta's internal collaboration with vLLM and PyTorch introduces prefill/decode disaggregation, boosting large-scale LLM inference performance in production with improved throughput and latency.
RustGPT is a complete large language model implementation in pure Rust with no external ML frameworks. The project demonstrates how to build a transformer-based language model from scratch in Rust. It was built from the ground up using only ndarray for matrix operations - no PyTorch, TensorFlow, or Candle. The model uses a transformer-based architecture.
HuMo unifies human-centric video generation across multimodal inputs by introducing a new dataset and a progressive training strategy, achieving audio-visual synchronization.
Nvidia's Rubin CPX is a specialized accelerator built specifically for the 'prefill' stage of AI inference. It is tuned for dense compute with far less bandwidth than a general-purpose GPU. Rubin CPX uses less expensive GDDR7 memory and skips high-bandwidth features like HBM and NVLink, so it is estimated to cost around a quarter as much to manufacture as the standard Rubin R200. Its release may force industry rivals to rethink their hardware strategies or risk falling further behind Nvidia's lead in AI infrastructure.
Immersed ($22M raised) is re-inventing how work happens. It's pioneered the most popular XR work app, a Visor built for all-day comfort, and an AI agent that handles the busywork. Become an investor
Anthropic's third economic index reveals that Claude usage is heavily concentrated in wealthy countries like Israel and Singapore, with businesses using AI for automation 77% of the time compared to consumers' 49%.
Base creator Jesse Pollak announced at the BaseCamp event that the Coinbase-backed L2 is exploring issuing a native token, marking a reversal from the company's 2023 stance that it had no plans for tokenization. Pollak emphasized that plans remain in early stages with no timeline provided, and stressed that as a U.S. company, Base will work closely with regulators on compliance for any token issuance and distribution. The potential token announcement comes as Base has emerged as the second-largest layer-2 by total value locked at $5 billion, with impressive usage metrics including 328 million transactions over the past 30 days compared to Arbitrum's 77 million. The exploration of tokenization could trigger increased activity on Base as users attempt to position themselves for a potential airdrop, similar to patterns seen with other major L2s.
Ethereum's stablecoin supply has reached an all-time high of $166 billion, up from $149 billion just a month ago, further cementing its role as DeFi's settlement backbone. USDT leads with $87.8B on Ethereum, followed by USDC at $48B, signaling increasing institutional adoption. Analysts say the record supply highlights Ethereum's growing liquidity depth, resilience to macro volatility, and potential tailwinds for ETH price appreciation.
Guillotine is an Ethereum Virtual Machine (EVM) implementation written in Zig that claims to compete for the fastest EVM ever built while achieving significant size optimizations down to 110kb wasm size, representing a 4x improvement over existing options. The interpreter features data-oriented design with microoptimizations including bytecode preanalysis, instruction fusion, and tailcall recursion to maximize CPU branch prediction and minimize memory footprint, enabling universal compatibility across programming languages from Python to Swift to Rust. Guillotine represents Tevm's mission to enable Ethereum to run everywhere without compromises, utilizing techniques studied from various EVMs, including Ethereum.js, Evmone, Geth, and Revm, for differential testing. The project is currently in early alpha and released under the MIT license.
American Express' "travel stamps," part of its revamped travel app, allow customers to create commemorative records of travel experiences through ERC-721 tokens minted and stored on Coinbase's Base network. The digital passport stamps, which can be collected whenever travelers use their Amex card, are technically NFTs, but are deliberately not branded as such, as the company wanted to speak to the travel experience naturally rather than emphasize the blockchain technology. The stamps are not tradable tokens and don't function as blockchain-based loyalty points currently. They could create interesting partnership angles over time as identifiers and representations of travel history.
Most crypto businesses focus on tech while customers struggle with confusing interfaces, trust issues, and poor support. Ubiquity identifies 4 key challenges killing crypto adoption [9]: complexity, UI, unsustainable growth, and negative preconceptions. Read the blog
Coinbase operates a free, merit-based digital asset listing process that begins with project teams submitting comprehensive applications, including whitepapers, team backgrounds, tokenomics details, source code links, block explorers, and third-party audit reports. The evaluation involves a business assessment examining market demand, community traction, and technical integration requirements, followed by a core review where legal, compliance, and technical security teams evaluate regulatory alignment and platform security compatibility. Upon approval, assets undergo a phased market launch starting with deposit-only periods to build liquidity, progressing through auction phases for price discovery, and culminating in full trading availability. Evaluation timelines vary significantly based on asset complexity and application completeness, with thorough submissions potentially expediting the review process. The structured approach emphasizes regulatory compliance and security standards while providing projects access to Coinbase's global user base and institutional-grade platform infrastructure.
Aave came back from the depths of the 2022 DeFi collapse to become the dominant onchain lending protocol. Today, Aave manages over $60B in TVL, generates $130M in annual revenue, and controls nearly 74% of the lending market. The DAO is phasing out underperforming L2 deployments and “friendly forks,” while doubling down on its stablecoin GHO, buybacks, and strategic growth deals. With its financial strength and sharpened focus, Aave aims to cement its position as the definitive leader in decentralized finance.
Protocols like Aerodrome return funds to token holders, but the cost of new token issuance still exceeds these returns. This means token holders are effectively losing money for now, which is reasonable if treated as a growth bet, but not to be confused with actual profitability.
Sei Network's TVL surged from $411M in April to $609M by June, with a sharp increase in active addresses. The ecosystem centers around a "liquidity triangle" of three anchor protocols: DragonSwap offering 30-70% APY on SEI-USDC pools, Yei Finance controlling 44% of Sei's TVL as the dominant money market with 9-12% borrow rates, and Splashing providing liquid staking with $25.5M TVL and 7-9% native yields plus MEV rewards. Institutional momentum is building through the SEC's formal acknowledgment of a Canary Staked SEI ETF filing and Chainlink Data Streams integration, delivering US Department of Commerce GDP data to Sei's infrastructure. Performance metrics show that Sei processes 200x more throughput than Solana and 5x more than Sui, with $5.5B daily stablecoin volume and $1.53B DEX volume in July.