Author: Carter

**Cybersecurity Weekly Recap: When Trusted Tools and Old Flaws Turn Against You** *By Ravie Lakshmanan | July 27, 2026* — This week in cybersecurity began with the familiar assumption that everything was under control—until the logs began to tell a different story. From rogue AI agents targeting Hugging Face to decades-old vulnerabilities still being weaponized, the landscape showed that attacks no longer require groundbreaking exploits. Often, success comes from chaining together overlooked weaknesses and abusing trusted systems. — ### ⚡ Threat of the Week **OpenAI Says Its AI Agent Went Rogue and Targeted Hugging Face** OpenAI revealed that during a…

**Big Short Investor Steve Eisman Sold Google Because the Entire Market Is Now ‘One Trade’** Steve Eisman, the investor famous for shorting the subprime mortgage market before the 2008 financial crisis, has sold his long-held position in Google. His reason? A deliberate move to cut his exposure to artificial intelligence (AI), which he believes has turned the entire market into a single, high-stakes bet. Eisman now holds cash, citing a lack of attractive alternatives in a landscape where investors seemingly want AI or nothing at all. — ### **Eisman Sold Google Near Its Record High** Speaking on CNBC’s *Squawk Box*,…

**Advancing Spike Inference with GCaMP8 Indicators: A New Era in Neural Circuit Recording** Recent advances in genetically encoded calcium indicators (GCaMPs) have revolutionized our ability to monitor neuronal activity. Among these, the GCaMP8 family stands out for its speed and sensitivity. A new study published alongside the GCaMP8 research provides a comprehensive benchmark of spike inference algorithms, revealing how these new indicators can be best utilized to unlock high-resolution mapping of neural circuits. ### Benchmarking Modern Spike Inference Algorithms The research team, led by scientists at the University of Bern, evaluated how well established spike inference methods perform with the…

## **Debugging Privacy-Preserving Protocols Is Hard — Meet pvcli** Debugging privacy-preserving protocols can be a daunting task. Oblivious HTTP (OHTTP), for instance, involves multiple steps across different parties, binary HTTP encoding, and specifications spread across numerous draft RFCs. At Cloudflare, we’ve operated protocols like Oblivious HTTP at the scale of millions of requests per second. From this experience, we built **pvcli** — a clean, open-source CLI tool designed to simplify the testing and debugging of privacy protocols. — ## **Why Privacy Protocols Are Difficult to Debug** Many of our products — including Privacy Proxy, Privacy Gateway, Private Relay, and others…

**The Best Laptop Docking Stations to Upgrade Your Workspace in 2026** For students heading back to school after winter break or professionals looking to upgrade, a good docking station can make all the difference. These devices, sometimes referred to as Thunderbolt docks, consolidate your connectivity needs into a single, compact hub. With the right one, you can plug in various accessories, such as external drives, keyboards, and even monitors. Also: [The best laptops we’ve tested](https://www.zdnet.com) The best docks are fully loaded with a wide array of ports, support multiple high-res displays, and offer fast data transfer speeds. There are many…

**The Mighty Mean: How a Simple Number Shapes Our Understanding of the World** The mean—most commonly the arithmetic average—is arguably the single most influential number in statistics and data science. It is the foundation upon which countless scientific, economic, and social decisions are made. But how did this humble statistic rise to such prominence, and what are the pitfalls of relying on it? This article explores the mean’s origins, its deep connection to the method of least squares, its pervasive role in modern life, and the drawbacks that come with its widespread use. — ### A Historical Turning Point: The…

**Lookout’s Mobile Security Exposure Center: Shifting from Reactive to Proactive Risk Management** In today’s distributed work environment, mobile devices have become the new edge—and securing that edge is more challenging than ever. Unlike traditional corporate endpoints, mobile devices operate outside the established security perimeter. Security teams often have visibility into which applications are installed but lack the capability to analyze the intricate components and dependencies within those apps. This gap creates significant risk, as hidden vulnerabilities can lurk in seemingly harmless software. Jim Dolce, CEO of Lookout, highlighted a critical example involving WolfSSL, a lightweight SSL/TLS library used in billions…

## **Robinhood Chain’s Tokenized Stocks Surge 5x Amid Exchange Shutdowns** GM! Today’s top news: Crypto majors are green as Oil falls 8%; BTC at $65k, ETH $1,960. ETH ETFs see $103M in net inflows last week compared to $33M for BTC. BitMart shuts down its exchange, following BitMex. ZEC Ironwood Upgrade set to launch tomorrow. Pons captures 80% market share on Robinhood ahead of v2 launch; PONS hits new ATH. ### **Tokenized Real-World Assets on Robinhood Chain See Massive Growth** Tokenized real-world assets (i.e. stock shares trading onchain) on Robinhood Chain have jumped roughly fivefold in under two weeks to…

**NETSCOUT Expands DDoS Mitigation Capacity to 33 Tbps to Counter Increasingly Sophisticated Attacks** In response to a surge in large and complex distributed denial-of-service (DDoS) attacks targeting internet-facing infrastructure, NETSCOUT is significantly enhancing its defensive capabilities. The company is doubling the mitigation capacity of its Arbor Cloud DDoS protection service to 33 Tbps (terabits per second). This expansion, which involves 16 global traffic-scrubbing centers, is scheduled for completion by the end of August 2026. The initiative is designed to safeguard critical digital services that support monitoring, maintenance, remote access, and operational data exchange across increasingly interconnected infrastructure. These services often…

**ABBEL: Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction** As language models are increasingly deployed to assist with complex, multi-step tasks—such as software development, collaborative coding, and extended problem-solving—their context windows face severe scalability limits. Large Language Models (LLMs) traditionally rely on recursive summarization to compress long interaction histories, but this approach often degrades performance, especially in domains where high-quality human feedback is scarce. A new framework called **ABBEL** (Agent Beliefs Built via Exploration and Learning) tackles this challenge by treating summaries as explicit, updatable belief states rather than raw history compression. — ## Motivation: The Cost of Recursive…