Holiday parade in California’s wealthy ‘American Riviera’ city canceled over ICE raid fears

nypostPublished on 2025-12-08Last updated on 2025-12-08

Abstract

The annual holiday parade in Santa Barbara, California, often referred to as the "American Riviera" due to its affluence and coastal location, has been canceled. The decision was made by organizers over concerns that Immigration and Customs Enforcement (ICE) agents might conduct raids during the event. This fear stems from the potential for such enforcement actions to create a climate of anxiety and danger, particularly for immigrant communities. The cancellation highlights the broader tensions and real-world impacts of immigration enforcement policies on community events and public life.

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
CapricornAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
brev
BrevisBREV
cake
PancakeSwapCAKE
dos
DAPPOSDOS
jst
JUSTJST
band
Band ProtocolBAND

Related Reads

Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

In a move coinciding with heightened tensions with Cursor, OpenAI has announced a usage quota "reset" for Codex and ChatGPT Work paid users. This follows the discovery and repair of multiple system bugs that were causing significant, unexpected token consumption. The fixes address eight key issues that made quotas deplete faster than users anticipated, with practical efficiency gains estimated at 10%-50%. Major problems included: * **Ineffective Context Compression:** Old images weren't cleared, causing repeated, wasteful compression cycles. * **Runaway Agent Goals:** Agents sometimes continued executing tasks or retrying failed tools after completion, consuming 15%-70% of weekly quotas in extreme cases. * **Memory System Loops:** A backend memory worker bug could cause tasks to check their stop condition up to 15,000 times. * **Unauthorized Subagent Upgrades:** Smaller models like Luna could autonomously call more expensive models, and main agents could put subagents into costly "/fast" mode without user request. * **Over-executing Automations:** Scheduled tasks ran more frequently than configured. * **Redundant Summaries:** The system repeatedly summarized overlapping computer history (costing ~20% of weekly usage in some cases) and generated unnecessary rolling task summaries. * **MCP Tool Call Inefficiencies:** Tool results could be encoded twice, and truncated descriptions forced redundant fetches. These bugs highlight a shift from simple chat interactions to complex agent workflows, where backend processes (memory, scheduling, coordination) consume significant tokens invisibly. OpenAI states it has made architectural changes to prevent recurrence and is developing in-app usage breakdowns for transparency. The quota reset appears to be part of a broader effort to address the opaque cost structure of AI agent systems.

marsbit1h ago

Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

marsbit1h ago

From Contract to Cryptocurrency Payment: Sberbank Unveils Legal Scheme for Settlements with Foreigners

Sber Bank plans to launch international business settlements in digital currencies via its SberBusiness app by the end of 2026. The bank's deputy chairman, Anatoly Popov, announced this ahead of the Eastern Economic Forum, stating the goal is to simplify digital currency use for businesses in cross-border trade. The legal basis is Federal Law No. 282-FZ "On Digital Currency and Digital Rights," effective September 1, 2026, which permits foreign trade crypto settlements through licensed intermediaries. A published guide outlines the process: a company signs a contract, transfers rubles to a licensed intermediary, who then buys and sends cryptocurrency to the recipient, with reporting for regulators generated automatically. This service is positioned as an alternative channel for foreign trade, especially where traditional bank transfers face sanctions. Sber aims to integrate crypto payments into standard business tools within SberBusiness, avoiding the need for specialized technical knowledge. Development will depend on the practical application of the new law. From a macro perspective, this initiative is seen not just as a technical innovation but also within the context of sanctions pressure on crypto markets. The article notes that licensed intermediaries could become targets for secondary sanctions, as seen with UK actions against crypto exchanges in summer 2026. The long-term viability of Sber's scheme may depend more on political dynamics than technology, following a historical pattern where new payment channels face regulatory countermeasures.

cryptonews.ru3h ago

From Contract to Cryptocurrency Payment: Sberbank Unveils Legal Scheme for Settlements with Foreigners

cryptonews.ru3h ago

Ripple Donates $300,000 to Aid Flood Victims in Nepal and Tibet

Ripple has donated $300,000 to provide emergency food, water, and sanitation aid following devastating floods in Nepal and Tibet. The funds will be distributed through non-profit partners World Central Kitchen and Mercy Corps to support immediate relief efforts. The floods, triggered by a glacial avalanche, have severely impacted districts in Nepal and the Gyirong border port in Tibet, destroying homes, roads, bridges, and critical infrastructure. UNICEF reports at least 17,000 children affected in Nepal, with significant damage to schools. This donation builds upon Ripple's existing humanitarian partnerships. Both organizations have previously tested Ripple's payment solutions and its stablecoin, $RLUSD, to explore faster and more transparent methods for distributing emergency aid. Ripple's contribution aims to address the urgent needs in the affected regions.

cryptonews.ru5h ago

Ripple Donates $300,000 to Aid Flood Victims in Nepal and Tibet

cryptonews.ru5h ago

Prominent Economist Sharply Criticizes Recent Fed Policy: 'They Are Moving in the Wrong Direction'

Economist James E. Thorn sharply criticizes the recent monetary policy of the Federal Reserve, arguing it is moving in the wrong direction. He contends that current high inflation is driven significantly by supply-side factors like energy costs, housing shortages, and production constraints, rather than solely by overheated demand. Thorn believes further interest rate hikes may not address these root causes and could instead weaken the economy's productive capacity by hindering critical investments in areas like AI, data centers, and infrastructure. He points to declining full-time employment data and pressure in the interest-rate-sensitive housing sector as signs of structural economic transformation, not overheating. Thorn argues these trends reflect adaptation to changing fiscal policy and industrial conditions. He also differentiates between one-time price shocks from factors like tariffs or oil prices and a sustained inflationary spiral, suggesting the Fed's policy response may be misaligned. Thorn concludes that additional tightening could represent a deliberate suppression of demand based on a misdiagnosis, potentially stifling the economy's long-term investment and production capacity expansion.

cryptonews.ru5h ago

Prominent Economist Sharply Criticizes Recent Fed Policy: 'They Are Moving in the Wrong Direction'

cryptonews.ru5h ago

Don't Trust, Verify: Malicious AI Links Expose a Nightmare Reality for Crypto Industry Workers

Generative AI is becoming increasingly prevalent, with professionals in the digital assets and blockchain space regularly using it. However, this makes them prime targets for attackers seeking to steal sensitive, often irrevocable, information. Refi Hub co-founder Numa Lunah recently reported being "hacked" through a malicious link sent in a chat with the AI model Claude, which appeared to be a legitimate transcription app download. The link installed malware that attempted to steal all his data. While Numa claimed no sensitive data was leaked—as he wiped and reinstalled his laptop's OS—he later discovered a corrupted `SKILL.md` file in his backups, disguised as a style guide. This file contained hidden instructions to reload the malware and steal credentials whenever the AI accessed it. This incident highlights a new attack vector: LLMs providing malicious outputs. Microsoft Defender experts have previously warned about the evolution of cryptojacking attacks from SEO poisoning to "poisoning" LLM responses from models like Gemini, Claude, Copilot, and ChatGPT. Threats include malicious artifacts via context windows, chatbot-recommended download links, fake AI-branded installers, and infected source code or agent skills. For crypto professionals, the risk is heightened because they often manage irreplaceable secrets like seed phrases, private keys, exchange API keys, and wallet data. The article argues that the most dangerous vulnerability is human trust and complacency. A fundamental shift in security culture is needed: treating every AI suggestion as potentially hostile, regardless of its source. This isn't paranoia but a survival necessity. The key takeaway is that the threat lies not in vulnerable code but in the human instinct to trust convenient answers, a flaw no software patch can fix. Numa was saved only because he meticulously reviewed every configuration file before letting the AI interact with it—a level of caution most users likely neglect.

cryptonews.ru5h ago

Don't Trust, Verify: Malicious AI Links Expose a Nightmare Reality for Crypto Industry Workers

cryptonews.ru5h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片

Top Questions

Hot Categoriesright-arrow

Hot Tagsright-arrow