Phemex Launches Tokenised Gold and Silver Trading Campaign

TheNewsCryptoPubblicato 2026-01-30Pubblicato ultima volta 2026-01-30

Introduzione

Phemex has launched a week-long trading campaign focused on tokenised gold and silver, running from January 29 to February 5, 2026, with an incentive pool exceeding $70,000. The initiative promotes spot trading of precious metal pairs like PAXG, XAUT, and SLVON, aiming to increase participation in commodity-linked digital assets and integrate traditional instruments into crypto trading. The campaign targets both new and existing users, offering rewards based on trading volume, consistency, and first-time engagement. This effort reflects Phemex’s broader strategy to bridge traditional and digital finance, providing diversified portfolio options and fostering long-term user engagement in a converging financial landscape.

Phemex has rolled out a week-long spot trading strategy which is mainly aimed at digitally prominent metals, showing increasing market interest in tokenised gold and silver as part of varied digital portfolios.

The strategy commenced on January 29 and will run till February 5, 2026, and shows an incentive pool crossing $70,000. The campaign mainly targets spot trading pairs supported by precious metals, comprising PAXG, XAUT, and SLVON, targeting to boost wider participation in commodity-associated digital assets while widening the role of non-crypto-native instruments within on-chain trading environments.

As global investors increasingly look for alternatives that amalgamate the liquidity of crypto markets with the firmness characteristics of traditional assets, tokenised metals are growing as a bridge between the two systems.

The Wider Strategic Direction

Accessible to all Phenmex users, with a specific prominence on those new to spot precious metals trading, the initiative launches various participation pathways made to lower entry barriers and publicise sustained engagement.

The users who are eligible can earn rewards by attaining defined trading activity thresholds, with an overall incentive pool distributed over volume-based participation, trading consistency and first-time engagement.

As per Phemex, the initiative shows a wider strategic direction. By widening access to access-supported instruments along with key crypto products, the exchange targets more balanced portfolio construction and long-term participation over market cycles.

Being a part of an evolving multi-asset ecosystem, Phemex carries on to amalgamate digital representations of traditional assets, strengthening its commitment to offering users various tools to navigate an increasingly convergent global financial landscape.

Highlighted Crypto News Today:

Tron DAO Founder Justin Sun Emphasizes Holding TRX Tokens

Domande pertinenti

QWhat is the main focus of Phemex's new trading campaign?

AThe campaign focuses on spot trading of tokenised gold and silver, specifically targeting trading pairs like PAXG, XAUT, and SLVON.

QHow long will the Phemex trading campaign run and what is the total incentive pool?

AThe campaign runs from January 29 to February 5, 2026, with an incentive pool exceeding $70,000.

QWhat are the primary tokenised metals featured in this campaign?

AThe campaign features tokenised gold and silver, specifically through the trading pairs PAXG, XAUT, and SLVON.

QWhat strategic goal does Phemex aim to achieve with this initiative?

APhemex aims to bridge traditional and crypto markets by providing access to commodity-backed digital assets, promoting balanced portfolio construction and long-term market engagement.

QHow can users earn rewards in this campaign?

AUsers can earn rewards by meeting defined trading activity thresholds, with incentives distributed based on trading volume, consistency, and first-time engagement.

Letture associate

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit22 min fa

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit22 min fa

AI Bubble Is Bursting

The AI Bubble is Bursting: A Necessary Purge on the Path to Ubiquitous Intelligence Market volatility has reignited debates about an AI bubble, with figures like Ray Dalio pointing to high valuations. However, this parallels the dot-com bubble, which, despite its crash, laid the physical infrastructure for today's internet era. The current AI investment frenzy, with tech giants planning trillions in infrastructure spending far outstripping current AI application revenues, appears similarly imbalanced. This 'bubble' is seen as an inevitable phase for a disruptive technology, paying the "innovation tax." Critically, AI inference costs have plummeted over 99.7% since 2023, making intelligence nearly free at the margin. This hasn't reduced spending but has instead unlocked massive new demand, as seen in enterprise AI cloud expenditure tripling. This follows the Jevons Paradox: efficiency gains lead to greater total consumption. The market is now entering a cleansing phase, weeding out speculative ventures lacking real moats. The deeper shift is a move from capital expenditure (CapEx) on hardware to value creation in operational expenditure (OpEx) through AI applications that solve real industry problems. While infrastructure valuations are high, rapid earnings growth from widespread AI adoption across sectors—from manufacturing and finance to law and healthcare—may digest these valuations over time. Ultimately, this creative destruction will leave behind robust infrastructure and optimized models, cheaply powering an AI-augmented future for all industries, much as the internet became indispensable after its own bubble burst. The core productive potential remains undiminished.

链捕手32 min fa

The AI Bubble is Bursting

The article argues that while a bubble in the AI sector is real and is currently showing signs of deflation, this is a typical, even necessary, phase for a transformative technology. It draws parallels to the dot-com bubble, where speculative excess was followed by the consolidation of internet infrastructure, enabling the digital age. Similarly, today's massive investments in AI infrastructure (data centers, power, cooling) far outpace current application-layer revenue, creating a valuation imbalance. However, the author contends this apparent bubble is not a sign of failure but of a transition. Key drivers include the plummeting cost of AI inference (over 99.7% in two years), which, per Jevons Paradox, has unleashed massive new demand as AI moves from simple tasks to complex agentic workflows across all industries. The market is now cleansing itself of shallow, speculative ventures, shifting value from capital expenditure (CapEx) on hardware to operational expenditure (OpEx) on transformative AI applications. The conclusion is that the underlying productive force of AI is undeniable. The current financial correction will eliminate weak players, leaving behind robust infrastructure and efficient models. This will ultimately fuel an "AI+" era where intelligence becomes as ubiquitous and essential as the internet, embedding itself into every sector of the economy.

marsbit32 min fa

marsbit32 min fa

The Next Bitcoin ETF Boom May Be Coming From Japan – Here’s Why

Despite recent outflows from US Spot Bitcoin ETFs, market attention is shifting to Japan as the potential next major market for such funds. This follows regulatory reforms in Japan that are moving cryptocurrency oversight to a financial instruments framework, potentially enabling Bitcoin ETF approval. Analysis suggests a Japanese spot Bitcoin ETF could attract significant inflows, ranging from ¥900 billion ($5.61 billion) in a conservative scenario to ¥3.1 trillion ($19.34 billion) in a bullish one. A base-case estimate of ¥1.4 trillion ($8.73 billion) would equate to demand for roughly 140,000 BTC. Beyond price impact, a Japanese ETF is seen as boosting Bitcoin's legitimacy and accessibility for investors and institutions. Bitcoin's price was around $61,038 at the time of writing, down 2.81% over 24 hours.

bitcoinist53 min fa

The Next Bitcoin ETF Boom May Be Coming From Japan – Here’s Why

bitcoinist53 min fa

Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

President Donald Trump's first public appearance in over a week, intended to project control amidst health concerns and political challenges, devolved into a 43-minute display of grievance and insecurity. He focused initially on a reflecting pool renovation, compared his rally size to Martin Luther King Jr.'s, and repeatedly attacked political opponents, judges, and U.S. cities. He signed executive orders, including one weakening job protections for senior federal employees, potentially replacing expertise with loyalty. His speech meandered to topics like communism before ending abruptly. The article highlights Trump's agitated, defensive state and the systemic pressures enabling his power. It details his personal attack on a CNN reporter, framing it as part of a broader assault on independent media to undermine public trust in unfavorable facts. This pressure is exemplified by the reported erosion of editorial independence at CBS. The author argues that as mainstream media faces political and commercial pressures, supporting independent journalists becomes crucial for preserving truthful information. The piece concludes by noting a symbolic House vote challenging Trump's Iran actions, suggesting growing Republican dissent, and frames financial support for independent media as a direct form of resistance.

marsbit5 h fa

Trump's 43 Minutes: The Strongman Narrative Unravels, the Media War Escalates

marsbit5 h fa

Trading

Spot

Futures