Has Elon Musk Completely Abandoned Dogecoin? Here’s The Last Time He Tweeted About It

bitcoinist2026-03-13 tarihinde yayınlandı2026-03-13 tarihinde güncellendi

Özet

Elon Musk, a key figure behind Dogecoin's massive 36,000% rally in 2021, has significantly reduced his public engagement with the meme cryptocurrency. His last direct tweet about Dogecoin was over a year ago, in November 2024, where he defended its flat inflation mechanism as a feature rather than a flaw. Although Musk still subtly endorses Dogecoin by liking and reposting related content, his direct mentions have ceased. Furthermore, the recent launch of X Money (formerly Twitter) shows no integration of Dogecoin, despite earlier hopes. The payment feature, along with previous initiatives like Tip Jar, supports only Bitcoin and Ethereum, signaling a shift away from Dogecoin in Musk’s ventures.

Elon Musk’s role in the growth of Dogecoin over the years cannot be overstated, as the billionaire served as the cornerstone of the 36,000% rally that caught attention back in 2021. The support for the meme coin also continued long after this, moving Dogecoin into the payments sector as well. However, following Musk’s acquisition of Twitter (now X) in 2023, his involvement and tweets about the meme coin began to decline, and have become nonexistent in the last year.

When Did Elon Musk Last Tweet About Dogecoin?

Doing a search on Elon Musk’s account on X shows that his last tweet directly mentioning Dogecoin was more than a year ago. The tweet, which was made back in November 2024, was explaining why the inflation mechanism used for the cryptocurrency was actually important.

According to Musk, Dogecoin having a flat inflation rate was actually a feature of its creation and not a bug. This is because the flat inflation rate translates to a decreasing percentage inflation, and is therefore a good thing for the digital asset to have.

Related Reading: Buying XRP At These Prices Is Like Buying Bitcoin At $200

Interestingly, this is the only tweet that mentioned Dogecoin directly that came up on Musk’s account for the year 2024. Other tweets were back in 2023, moving into 2022, when the billionaire was still very active in his support for Dogecoin. But despite not mentioning Dogecoin directly, Musk has continued to subtly show support for the meme coin by endorsing posts about DOGE, as well as reposting posts made by other X users.

No Sign Of DOGE In X Money

Even though Elon Musk has been vocal in the past about the merits of Dogecoin as a payment cryptocurrency, the launch of the new X Money feature could be the final nail in the coffin that suggests the X owner is moving away from the meme coin. There have been multiple leaks of the X Money feature from a closed testing phase, but none of them show or mention DOGE being used in the app.

Earlier in the week, Musk announced that the company was ready to launch early public access for X Money in April. But still, there has been no sign of DOGE. So far, there have been reports of X Money offering a card, allowing users to earn interest on cash, allowing direct deposits, cash backs, and easy money transfers between users, with the feature working like a bank. However, there has been no mention of DOGE or any cryptocurrencies for that matter.

Even with the launch of the Tip Jar feature, which allowed X users to send crypto to other X users, only the likes of Bitcoin and Ethereum made the cut. So far, there has been no integration of Dogecoin into X, dashing the hopes that investors had when the billionaire had first acquired Twitter amid the hype.

DOGE begins another recovery trend | Source: DOGEUSDT on Tradingview.com

İlgili Sorular

QWhen was the last time Elon Musk directly tweeted about Dogecoin, and what did he say?

AElon Musk's last direct tweet about Dogecoin was on November 13, 2024. He stated that Dogecoin's flat inflation rate, which results in a decreasing percentage inflation, is a feature, not a bug.

QWhat evidence from the article suggests that Elon Musk might be moving away from Dogecoin?

AThe evidence includes his significant decline in tweets about Dogecoin, the lack of any mention or integration of DOGE in the new X Money feature, and the fact that only Bitcoin and Ethereum were included in X's Tip Jar feature.

QWhat is the 'X Money' feature, and how does its launch relate to Dogecoin?

AX Money is a new feature on the social media platform X (formerly Twitter) that offers banking-like services such as a card, earning interest on cash, direct deposits, cash back, and money transfers. Its launch is significant because there has been no mention or integration of Dogecoin or any other cryptocurrency, despite Musk's past promotion of DOGE for payments.

QBesides direct tweets, how has Elon Musk shown subtle support for Dogecoin on X?

AHe has shown subtle support by endorsing posts about DOGE and reposting content from other X users that is related to the meme coin.

QWhat was Elon Musk's historical role in the Dogecoin market according to the article?

AElon Musk's role was a cornerstone of Dogecoin's massive growth, being instrumental in its 36,000% rally in 2021. He continued to support the meme coin long after, helping to move it into the payments sector.

İlgili Okumalar

How Likely is it for TradeXYZ to Go Solo from Hyperliquid?

The article analyzes the possibility of TradeXYZ, a dominant project on Hyperliquid's HIP-3 real-world asset (RWA) perpetual contracts market, splitting off to build its own independent trading platform. With TradeXYZ commanding over 90% of HIP-3 volume and over 35% of Hyperliquid's total open interest, its leverage and influence are significant. The primary motive for a split is seen as capturing the underlying protocol fees, of which TradeXYZ currently receives only half. However, several factors strongly discourage such a move. First, replicating Hyperliquid's high-performance infrastructure would be challenging and could degrade TradeXYZ's product quality. Second, Hyperliquid serves as a crucial distribution channel, with most users accessing TradeXYZ's liquidity through its frontend. Third, the close, trusting relationship between the founders of both projects makes a hostile "betrayal" unlikely. The conclusion is that a split would likely result in a lose-lose scenario. Hyperliquid would lose its main growth narrative and see its valuation impacted, while TradeXYZ would face immense technical hurdles, lose its primary user channel, and damage its reputation. Instead of a full separation, the more probable path is for TradeXYZ to negotiate better terms while deepening integration, focusing on enhancing its own brand and user ownership.

marsbit19 dk önce

How Likely is it for TradeXYZ to Go Solo from Hyperliquid?

marsbit19 dk önce

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled. The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI. Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning. Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant. The service is currently invite-only in San Francisco.

marsbit33 dk önce

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

marsbit33 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit1 saat önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit1 saat önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit1 saat önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit1 saat önce

İşlemler

Spot
活动图片