Corpses found in 2 parked cars in NYC hours apart: cops

nypostОпубліковано о 2025-12-09Востаннє оновлено о 2025-12-09

Анотація

Two deceased individuals were discovered inside two separate parked vehicles in New York City within hours of each other, according to police. The first body was found in the Bronx, and the second was located in Brooklyn. Authorities are investigating the incidents but have not released details regarding the identities of the causes of death.

Пов'язані питання

QWhat was found in two parked cars in NYC according to police?

ACorpses were found in two parked cars.

QHow much time passed between the discoveries of the two incidents?

AThe corpses were found hours apart.

QWhere exactly were the two bodies discovered?

AThey were discovered in parked cars in New York City.

QWho reported the discovery of the corpses?

AThe discovery was reported by the police (cops).

QWere the two incidents related in terms of timing and location?

AYes, they occurred hours apart in NYC, but the exact relation between them is not specified in the headline.

Пов'язані матеріали

Analytical platform Santiment reports that the opinion that 'cryptocurrencies are dead' is rapidly spreading among investors! Is this a signal that the market has bottomed? Here...

The analytical platform Santiment has reported a rapid spread of the sentiment that "cryptocurrency is dead" among investors, raising the question of whether this is a signal of a market bottom. Persistent price pressure and low trading volumes continue to negatively impact investor morale. Santiment observed a significant increase in this negative rhetoric on platforms like Reddit and Telegram, noting such phrases typically emerge when retail investor patience wears thin. Historically, periods of extreme pessimism often occur near major market turning points. When public conviction in an upward trend vanishes, markets frequently react contrary to expectations with strong recoveries. Santiment advises contrarian investors to monitor such widespread "crypto is dead" narratives, as they may signal potential opportunities for patient, long-term investors. While fear may exert short-term pressure, past cycles show excessively negative sentiment has coincided with significant lows. Social media sentiment remains a key indicator for assessing market direction.

cryptonews.ru9 хв тому

Analytical platform Santiment reports that the opinion that 'cryptocurrencies are dead' is rapidly spreading among investors! Is this a signal that the market has bottomed? Here...

cryptonews.ru9 хв тому

SEC cancels key crypto regulatory meeting

The U.S. Securities and Exchange Commission (SEC) has canceled a key open meeting scheduled for Friday where it was expected to propose new rules for cryptocurrency. The meeting was to consider a "tailored offering regime for certain investment contracts involving crypto assets." The SEC cited an "unforeseen scheduling issue" as the reason for the cancellation. This development follows the Senate's recess without voting on the Digital Asset Market Clarity Act, which aims to establish a regulatory framework for the crypto industry. SEC Chair Paul Atkins had previously stated the agency was prepared to issue its own rules if the Senate failed to pass the act.

cointelegraph16 хв тому

SEC cancels key crypto regulatory meeting

cointelegraph16 хв тому

GPT-5 Also Has Tip-of-the-Tongue Moments, Google Tested 4.5 Million Times: The Keys Are Lost

Google researchers have discovered that advanced AI models like GPT-5 and Gemini 3 experience a phenomenon akin to the human "tip-of-the-tongue" state, where they possess knowledge but fail to retrieve it. Their study, "Empty Shelves or Lost Keys?" (ICML 2026), introduces the "Knowledge Portrait" framework to analyze factual knowledge in models, distinguishing between failure to encode a fact versus failure to recall it. Testing on 13 models across 2.15 million queries from the WikiProfile benchmark revealed that state-of-the-art models successfully encode 95-98% of facts into their parameters. However, when asked directly, they fail to recall 26-34% of these known facts. Enabling chain-of-thought ("thinking") reasoning reduces this recall failure to 11-12%, recovering 40-65% of the previously unrecalled but encoded facts. The research identifies two key bottlenecks: recalling obscure ("long-tail") facts and answering reversed queries (e.g., "Who is Tom Cruise's mother?" vs. "Whose son is Tom Cruise?"). While scaling model size effectively reduces encoding failures, it does little to improve recall rates. In larger models, recall failure becomes the dominant source of factual errors, accounting for over 70% of mistakes in GPT-5.2. The findings suggest that for top models, the primary challenge is no longer storing knowledge but accessing it efficiently. Future accuracy gains may depend more on improved inference-time methods and "meta-cognitive" abilities, enabling models to recognize when they need to engage in deeper reasoning to retrieve information they already know.

marsbit19 хв тому

GPT-5 Also Has Tip-of-the-Tongue Moments, Google Tested 4.5 Million Times: The Keys Are Lost

marsbit19 хв тому

The Dollar is a Technology: Stablecoins Are Exporting U.S. Institutions to the World

This article argues that stablecoins and blockchain infrastructure are becoming a vehicle for exporting American financial systems globally. The core thesis is that the U.S. dollar, as a "technology," is increasingly embedded in blockchain rails, moving beyond a reserve currency to represent the institutional stability of the United States itself. The piece highlights three key areas where this is happening: 1. **Cross-border payments and trade finance:** Companies like Keyrails use stablecoins and blockchain to streamline and secure trade finance for emerging markets (e.g., Nigeria-China trade), offering faster, often cheaper dollar liquidity than traditional systems. 2. **Programmable collateral and credit:** Platforms like SemiLiquid allow institutions to use tokenized assets (e.g., treasuries, stocks) as "programmable collateral" for loans without moving them from custody, unlocking capital efficiency and improving transparency in institutional lending. 3. **Financing real-world assets:** Protocols like USD.AI create lending markets for productive, hard-to-finance assets like AI GPUs, connecting global stablecoin liquidity to physical capital. The author concludes that the true value of these new blockchain-based financial platforms lies not just in transaction volume, but in the deep, hard-to-replicate "context" (data, trust, operational knowledge) they build around specific economic activities like trade and asset finance. This represents crypto's evolution into an operating system for real-world capital formation, moving beyond speculation.

marsbit22 хв тому

The Dollar is a Technology: Stablecoins Are Exporting U.S. Institutions to the World

marsbit22 хв тому

Ethereum Glamsterdam Upgrade: Largest-Scale Underlying Restructuring Yet, Mainnet Date Still Undecided

The upcoming Ethereum "Glamsterdam" upgrade is viewed by core developers as the most significant protocol-level refactoring since The Merge, fundamentally altering how the network processes transactions and manages its state to advance L1 scaling. Its core goals are: accelerating processing via parallelization, increasing capacity, and enhancing sustainability through adjusted fees that better reflect long-term data storage costs. The upgrade features two headline proposals. First, **ePBS (EIP-7732)** on the consensus layer aims to formalize proposer-builder separation directly within the protocol, eliminating reliance on off-chain relayers. This built-in mechanism is designed to provide a more secure and efficient block production pipeline, extending the critical validation window to allow the network to handle more data, particularly for Layer2s. Second, **BALs (EIP-7928)** on the execution layer introduces block-level access lists. These lists specify the data each transaction will access beforehand, allowing the network to identify and safely execute non-conflicting transactions in parallel, rather than strictly sequentially. This also speeds up new node synchronization. Glamsterdam also includes配套 proposals to reprice storage costs (aiming for a predictable ~120 GiB annual state growth) and the cost of data-reading operations to better align with modern hardware costs and prevent spam. Regarding the timeline, the initial schedule targeting a mainnet activation on September 16, 2026, has likely been delayed. Following the launch of a new dedicated testnet (Plataberget), the deployments on the Sepolia and Holesky testnets are now expected in September, with the mainnet launch potentially pushed to Q4 2026 or later, as developers prioritize correctness over a fixed date.

marsbit23 хв тому

Ethereum Glamsterdam Upgrade: Largest-Scale Underlying Restructuring Yet, Mainnet Date Still Undecided

marsbit23 хв тому

Торгівля

Спот