Shiba Inu Enjoys 8% Spike In Price In Last 7 Days, As SHIB Social Media Interaction Soars

newsbtcPubblicato 2022-09-07Pubblicato ultima volta 2022-09-08

Introduzione

Over the past week, Shiba Inu (SHIB) surged by 8%. In fact, even though the bearish market prevails, Shiba Inu is still performing at its peak. SHIB’s social metrics up...

Over the past week, Shiba Inu (SHIB) surged by 8%. In fact, even though the bearish market prevails, Shiba Inu is still performing at its peak.

SHIB’s social metrics up by 1.43%
Despite Shiba Inu’s social dominance, ROI is down
SHIB whales on a shopping frenzy

Social media chatter provides that much needed oomph for Shiba Inu (SHIB), triggering a pump in prices. The amplified whale interest plus metaverse updates certainly gave SHIB that push.
The increased hype around SHIB could be because of the Whalestats announcement via a tweet stating that SHIB was able to outperform other meme coins and is now on the top rank or first in terms of tokens that are held by the top 500 ETH whales.
SHIB Enjoying A Pump In Social Media Metrics
Amazingly enough, SHIB has also registered a spike of 8% in terms of social mentions plus a 10% surge in social engagements. Overall, social media sentiment circling SHIB has been positive all throughout.
The chart shows that there is a market volatility seen in terms of SHIB’s social dominance which is currently at 1.43%.

Chart: Santiment
SHIB tokens are also increasingly burnt and stats on September 5 show that there are over 51 million SHIB tokens burned so far which gives a positive impact on the meme coin. With that in mind, SHIB tokens will also increase in value over the long haul.
There is an oversupply of SHIB with its total supply amassing 1 quadrillion which also explains the increase in burn initiatives.
Shiba Inu Whales On Shopping Frenzy
The increase in burnt tokens plus the boost in social media attention have not affected the volume of SHIB tokens with the meme coin’s volume looking stable and with a surge seen in September 4. Around 300 million SHIB tokens were burned this early in September.
In fact, in just 24 hours, it only took around 35 transactions to burn 102k tokens which show as much as a 65% increase in burn rate. Incredibly so, around 528 transactions were enough to burn roughly 3.7 billion SHIB tokens further increasing its scarcity level.
Remarkably, whales went on a shopping frenzy for SHIB tokens. In fact, one SHIB whale just made a 2-trillion SHIB transfer which is equivalent to as much as $22 million.
While the social media metrics of SHIB is in flying colors, the ROI aspect isn’t doing so well. Only 28% of Shiba Inu investors reaped profits, while 66% experienced losses, and 6% made a break-even. Additionally, Shiba Inu has dropped by more than 85% from its ATH.

SHIB total market cap at $6.5 billion on the daily chart | Source: TradingView.com Featured image Fintechs.fi, chart from TradingView.com

Letture associate

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit55 min fa

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit55 min fa

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit1 h fa

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit1 h fa

Beyond the Stadium: The Profitable Games Surrounding the World Cup

"Beyond the Pitch: The Profit Game Around the World Cup" The FIFA World Cup transcends being a sporting spectacle, evolving into a massive global arena for speculation and profit-seeking. The 2026 tournament has amplified this dynamic, creating a multi-layered ecosystem of financial opportunism alongside the football. **Prediction markets** have surged into the mainstream. Platforms like Polymarket and Kalshi saw trading volumes for World Cup contracts soar, attracting new users with their financial trading model and high-profile, chain-based wealth stories that overshadow traditional sports betting in terms of growth and narrative. However, **traditional sportsbooks** remain the dominant force, leveraging established user habits, legal markets, and comprehensive product offerings to handle the vast majority of speculative wagers, with projections suggesting record-breaking betting volumes. Capital markets also react. **"Concept stocks"** in countries like South Korea and Japan experience volatile price swings based on team performance and anticipated fan spending on items like chicken, beer, and viewing parties, effectively becoming a stock market reflecting fan sentiment. The **ticket resale market** has become a sophisticated arena for arbitrage. Prices fluctuate wildly based on team draws and star power, with sellers sometimes listing tickets they don't yet own in a practice akin to short-selling, while FIFA's own "Right to Buy" tokens add another layer of speculative trading. **Collectibles and merchandise** offer another avenue. Panini sticker albums, with their inherent scarcity and nostalgic value, can become high-value collectibles. Limited-edition or locally themed jerseys command significant premiums on secondary markets, and even counterfeit vendors profit from fans' desire for affordable match-day identity. The **cryptocurrency** space has seen a frenzy of speculative, unauthorized World Cup-themed meme coins on chains like Solana. These tokens, often exploiting team names and player imagery, experience extreme pump-and-dump cycles, creating stories of massive gains for a few early entrants and steep losses for many others. Finally, an entire industry thrives on **providing information and tools** to other speculators. Developers create platforms like SeatSidekick to track ticket inventory and prices, while paid Telegram groups and subscriptions sell betting tips and predictions, monetizing the widespread desire for an informational edge. In essence, the World Cup has become a compressed, global laboratory for speculation. While the games determine champions on the field, a parallel, complex network of financial transactions—spanning prediction contracts, bets, stocks, tickets, collectibles, crypto, and information services—settles its own scores in the global market.

marsbit1 h fa

Beyond the Stadium: The Profitable Games Surrounding the World Cup

marsbit1 h fa

Hyperliquid ETF Claim Draws Attention As HYPE Narrative Builds On X

A social media claim has brought attention to Hyperliquid (HYPE) and the growth of its related ETF products. According to a June 20 post on X by AlphaOnChain, three Hyperliquid ETFs launched in May 2026 have collectively amassed $158 million in assets under management, led by a Bitwise fund with $88 million and a 21Shares fund with $66 million. The article notes this claim is from social media and not verified by official issuer data, advising caution. Nonetheless, the report highlights that HYPE is gaining traction as a notable altcoin narrative. Its focus on on-chain perpetual trading and exchange infrastructure places it at the intersection of DeFi and derivatives, attracting traders looking for high-conviction plays beyond Bitcoin and Ethereum. The key takeaway is that while social momentum can influence short-term markets, sustainable growth for HYPE would require confirmed demand, liquidity, and continued ecosystem development.

bitcoinist3 h fa

Hyperliquid ETF Claim Draws Attention As HYPE Narrative Builds On X

bitcoinist3 h fa

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit3 h fa

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit3 h fa

Trading

Spot

Futures