# privacy İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "privacy" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

A Year Later, 'Lean Ethereum' Moves Forward: What Is Ethereum Aiming to Achieve?

A year after its initial proposal, "Lean Ethereum" is resurfacing as a core focus, signaling a potential fundamental shift in Ethereum's development narrative. While recent years prioritized scalability (e.g., Rollups, blobs), current discussions center on long-term sustainability and decentralization. This shift is evident on multiple fronts. Organizationally, the Ethereum Foundation (EF) is becoming "leaner and more focused," while key responsibilities like R&D (Ethlabs) and institutional outreach (Ethereum Institution) are being distributed to independent organizations. This aims to reduce systemic reliance on a single entity. Technologically, "Lean Ethereum," described by Vitalik Buterin as Ethereum's "third major iteration," outlines a 3-4 year roadmap. Its goals extend beyond raw throughput to emphasize protocol properties for a "long-term trust infrastructure." Key directions include: protocol simplification via "light verification" (using recursive STARKs instead of heavy re-execution); prioritizing quantum resistance; integrating privacy as a first-class protocol goal; and consensus-layer improvements for faster finality and reduced validator burden. Complementing this, the proposed 0x02 compounding validators feature seeks to make staking rewards more sustainable and equitable for smaller participants by allowing native reinvestment, improving capital efficiency and reducing network overhead. Together, these changes represent a move towards "subtraction": reducing dependency on centralized organizations, the cost for individuals to verify the chain, and capital inefficiencies in network participation. The aim is a more decentralized, verifiable, and resilient Ethereum capable of supporting the next decade of growth, even if the tangible benefits of these foundational shifts may take years to fully materialize.

marsbit10 saat önce

A Year Later, 'Lean Ethereum' Moves Forward: What Is Ethereum Aiming to Achieve?

marsbit10 saat önce

Just Now, Musk Admits It: All Code Uploaded by SpaceXAI Deleted

Elon Musk has admitted and confirmed that SpaceXAI's coding assistant, Grok Build, was secretly uploading users' private code and data without consent, and has ordered all such data to be completely deleted. The issue was exposed by an independent security researcher who set up a "honeypot" test repository with fake API keys and passwords. Despite being instructed only to respond "OK" without accessing files, Grok Build proceeded to upload the entire repository's contents and history to a Google Cloud storage bucket. Investigations revealed that the data uploaded was 27,800 times larger than the legitimate task traffic, and the "help improve model" toggle did not stop the collection, only governing whether data was used for training. In one instance, a user's entire home directory was uploaded. The report caused immediate outrage among developers, leading to widespread key rotation and software uninstalls. Following public pressure, SpaceXAI introduced a `/privacy` command for data deletion and, ultimately, Musk pledged to delete all previously uploaded user data with "zero anything whatsoever will remain." The incident has severely damaged trust in AI coding agents, highlighting the inherent risk of granting such tools high-level system access. While the data may be erased, the fundamental concern over privacy and security remains unresolved for developers.

marsbitDün 07:51

Just Now, Musk Admits It: All Code Uploaded by SpaceXAI Deleted

marsbitDün 07:51

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect

AI Discovered a 15-Year-Old Linux Bug but Also Wrongly Targeted a Journalist An AI security tool, VEGA, identified "GhostLock" (CVE-2026-43499), a severe Linux kernel vulnerability hidden for 15 years since 2011, affecting nearly all distributions. Exploiting a flaw in the kernel's lock management, an attacker could gain root privileges in about 5 seconds from a standard user account. This demonstrates AI's growing ability to find complex bugs humans missed. In a stark contrast, another AI system caused a dangerous police confrontation. Automotive journalist Joel Feder was surrounded by four police cars after Flock Safety's automated license plate recognition (ALPR) cameras mistakenly flagged his vehicle. The error originated from a typo in a national stolen vehicle database ("34 03 DTM" was entered as "34 DTM"). Feder's manufacturer plate, "34 10 DTM," was misread due to its small font, triggering a nationwide alert. Police, with hands on holsters, detained Feder for an hour before resolving the mistake. The two cases highlight the dual nature of AI in security. On one hand, it can efficiently uncover critical software vulnerabilities, enhancing safety. On the other, it can exponentially amplify human errors—like a simple data entry mistake—when deployed in automated, large-scale surveillance systems without adequate human oversight. The incident underscores the critical need for robust review mechanisms in AI-driven decision systems, especially in high-stakes areas like law enforcement. The greatest vulnerability in the AI era may not be in code, but in the unchecked delegation of final judgment to automated processes.

marsbitDün 12:25

An AI Uncovers a 15-Year-Old Linux Vulnerability in 5 Seconds, While Another AI Turns an Innocent Journalist into a Car Thief Suspect

marsbitDün 12:25

Ethereum's Next Decade in the Eyes of Vitalik

"Lean Ethereum" Long-Term Roadmap Unveiled by Vitalik Buterin On July 5, 2026, Vitalik Buterin published the "Lean Ethereum" roadmap, positioning it as Ethereum's third major evolution following the Merge. This multi-year, multi-phase upgrade aims to fundamentally transform Ethereum's core protocol through staged network upgrades extending to 2029. Key goals include achieving 1 gigagas per second L1 throughput (a massive increase from the current ~32 TPS), near-instant finality, and quantum-resistant cryptography. The plan involves transitioning Ethereum's security model from full transaction re-execution by all nodes to native verification via recursive STARK proofs. A major proposed change is replacing the EVM with a proof-friendly architecture like RISC-V or leanISA, though this remains a point of contention, especially with L2s like Arbitrum favoring alternatives like WASM. Other planned upgrades include a restructured state model with a large, cheap "warehouse" storage layer to drastically reduce fees for migrated applications, multi-dimensional gas pricing, and a new focus on making privacy a first-class, native protocol feature. While the roadmap significantly raises Ethereum's long-term technical ceiling, analysts note it does not directly address ETH's mid-term token economics or value capture. The plan's multi-year timeline means near-term price impact will likely depend on observable progress milestones, such as the successful deployment of the upcoming Glamsterdam gas limit increase, growth in L2 activity and blob usage, and trends in L1 fee revenue and ETH burn.

链捕手07/11 09:17

Ethereum's Next Decade in the Eyes of Vitalik

链捕手07/11 09:17

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own

Meta's MSL has launched Muse Image, an advanced image generation model nicknamed "Mango," which ranks second globally in text-to-image benchmarks, closely trailing OpenAI's GPT Image 2. Its key innovation is agent-like behavior: it searches for factual information, writes code for charts, and, most notably, has developed self-correction abilities through reinforcement learning, allowing it to revise its own outputs without explicit programming. This shift emphasizes reasoning over immediate generation. Integrated with Meta's ecosystem, Mango connects with the Muse Spark language model for complex tasks and features a unique "@" function that can incorporate public Instagram photos into generated images—raising privacy concerns as it's enabled by default. The model is directly accessible in Meta AI, Instagram, and WhatsApp, leveraging Meta's vast user base for distribution rather than competing solely on image quality. Accompanying Mango is the preview of Muse Video, a video generation model with integrated audio, currently ranked third in its category. All Mango-generated images include an invisible, persistent watermark (Content Seal) for AI identification, alongside a public detection tool. While Mango advances "thinking" image models, its use of social data poses new ethical questions about consent and digital boundaries.

marsbit07/08 10:39

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own

marsbit07/08 10:39

Token FOLD Auction Imminent, What is The Interfold, Supported by Vitalik?

**Title:** FOLD Token Auction Approaches: What is The Interfold, Supported by Vitalik? **Summary:** The Interfold, a "confidential coordination infrastructure" previously known as Enclave, is launching its functional token FOLD via a Uniswap Continuous Clearing Auction (CCA) starting July 8th. Endorsed by Ethereum co-founder Vitalik Buterin in May, the protocol tackles the core problem of governance bribery in decentralized voting (e.g., on platforms like Votium) by enabling multiple parties to compute a verifiable result without exposing their private input data. Its core technology, the Encrypted Execution Environment (E3), uses a distributed network of "Ciphernodes" that perform computations on fully encrypted data using Fully Homomorphic Encryption (FHE), with process integrity verified by Zero-Knowledge (ZK) proofs and decryption keys managed via Decentralized Threshold Cryptography (DTC) to eliminate a single point of trust. The primary application is CRISP (Coercion-Resistant Impartial Selection Protocol) for DAO governance, which ensures encrypted voting, "receipt-free" votes to prevent bribery, and verifiable tallying. The Interfold, developed by the Gnosis Guild team (creators of the Zodiac DAO tooling), positions itself as a focused solution to make on-chain voting truly un-buyable, realizing the vision of Vitalik's earlier MACI (Minimal Anti-Collusion Infrastructure) framework without its reliance on a single trusted coordinator. FOLD tokens will be used for Ciphernode staking, paying for computation requests, and protocol governance. Following the 48-hour auction, there is a 40-day cooling period where tokens can only be staked, with the official Token Generation Event (TGE) expected around August 19th.

Foresight News07/08 08:31

Token FOLD Auction Imminent, What is The Interfold, Supported by Vitalik?

Foresight News07/08 08:31

Top 7 VPNs of July 2026

With over 6 billion internet users globally, only a small percentage utilize a VPN to encrypt their connection, mask their IP address, and protect data, especially on public Wi-Fi. Choosing a VPN requires considering speed, privacy record, and server network. Here are the top 7 VPNs for July 2026: 1. **ExpressVPN:** Offers high speed, reliability, and usability with over 3,000 servers in 106 countries, featuring a proprietary Lightway protocol. 2. **Windscribe:** A privacy-focused, freemium VPN committed to an open internet, offering server-side ad blocking and browser extensions. 3. **Norton VPN:** A user-friendly option with a strict no-logs policy, kill switch, and split tunneling, integrated into the Norton 360 security ecosystem. 4. **CyberGhost:** An affordable VPN with a 45-day money-back guarantee, over 12,000 servers, and independently audited no-logs policy. 5. **Mullvad VPN:** Prioritizes privacy by not requiring an email or account, offering flat pricing, strong speeds, and optional content blocking. 6. **NordVPN:** A popular provider with servers in 118 countries, standard protections, and higher-tier plans including Threat Protection Pro. 7. **Proton VPN:** Offers a generous free tier and paid plans with features like Secure Core and NetShield, operating under strict Swiss privacy laws. VPNs are crucial for protecting online activity. Users should research thoroughly before purchasing any service.

ambcrypto07/07 16:53

Top 7 VPNs of July 2026

ambcrypto07/07 16:53

Reddit's Viral Image Suggests Your Laptop Could Run Fable 5 in 2 Years

Reddit's r/LocalLLaMA community sparked widespread discussion with a chart predicting that "Mythos-class" AI capabilities (referring to models like Fable 5) could run locally on high-end consumer laptops by approximately July 2028. The projection is based on analyzing the historical timeframe for cutting-edge AI capabilities, from initial cloud release to becoming practically runnable on local hardware. This lag averaged about 24.8 months across four generations: GPT-3 (37 months), GPT-3.5 (17 months), GPT-4 (~24 months), and Claude 3.5 Sonnet/GPT-4o (21 months). The trend suggests the democratization of AI, shifting from centralized cloud control to decentralized, private local operation. Key drivers include advancements in model efficiency (MoE architecture, quantization), rapid open-source replication of frontier capabilities, and evolving hardware. The post highlights that while current geopolitical dynamics may control *access* to the most powerful models, they cannot halt the *proliferation* of equivalent capability to local devices over time. This implies a future where privacy, offline workflows, and reduced costs become standard, challenging the current subscription-based cloud AI paradigm.

marsbit07/07 07:30

Reddit's Viral Image Suggests Your Laptop Could Run Fable 5 in 2 Years

marsbit07/07 07:30

A Four-Year Pact: Can Ethereum Secure the Institutional Settlement Track?

**Summary:** Ethereum's founder Vitalik Buterin has outlined a three to four-year major upgrade roadmap named "Lean Ethereum," aiming to solidify the blockchain's role as a foundational settlement layer for institutional finance. This plan targets key upgrades like faster transaction finality (sub-second), massively increased network capacity (1 billion Gas per second on Layer 1, trillions on Layer 2), post-quantum security, and native privacy at the protocol level. A core and potentially disruptive component is a proposed state storage overhaul designed to drastically reduce transaction fees for most assets. While this roadmap clarifies Ethereum's value proposition for institutions like banks and asset managers seeking a secure, neutral, and scalable settlement infrastructure, it also introduces significant execution risks. The success of "Lean Ethereum" hinges on complex, coordinated upgrades across the entire ecosystem—including applications, wallets, and Layer 2 networks—without fracturing composability or developer habits. The next four years will be a critical test of Ethereum's ability to execute this ambitious technical transformation while maintaining the network neutrality that attracts institutional users, balancing the promise of a robust future against the uncertainties of a prolonged, foundational rebuild.

Foresight News07/07 02:19

A Four-Year Pact: Can Ethereum Secure the Institutional Settlement Track?

Foresight News07/07 02:19

Poisoning: Meta Reportedly Hired Contractors to Systematically Sabotage ChatGPT and Gemini on a Large Scale

Meta, through hundreds of foreign contractors, conducted a secret project named "Cannes" to test competitors' AI chatbots like ChatGPT, Gemini, and Character.AI. The contractors posed as minors, including 13-year-old girls, to send over 45,000 prompts involving disturbing content about suicide, sex, drugs, and eating disorders, aiming to probe the models' safety guardrails. While Meta claims this was "responsible, standard industry practice" for safety testing, critics argue the secretive, large-scale operation using fake accounts to systematically break rules goes far beyond ethical benchmarking and serves as anti-competitive intelligence gathering. None of the targeted companies were informed or authorized the tests. Separately, a report revealed Meta contractors in Kenya were reviewing private user videos—including scenes of people in bathrooms, changing, or engaged in sexual activity—captured by Meta's Ray-Ban AI glasses, often without explicit user knowledge. These incidents highlight Meta's willingness to outsource ethical risks and privacy violations in its pursuit of AI dominance.

marsbit07/05 23:55

Poisoning: Meta Reportedly Hired Contractors to Systematically Sabotage ChatGPT and Gemini on a Large Scale

marsbit07/05 23:55

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