hodler

26 Jan 2026, 06:19

ETH More Likely to Hit $2,000 Than Reclaim $4,000: Analyst

Ethereum is more likely to revisit the $2,000 level than stage a decisive move back above $4,000, according to Bloomberg Intelligence Senior Commodity Strategist Mike McGlone. Key Takeaways: Ethereum faces higher downside risk toward $2,000 than a breakout above $4,000, according to Mike McGlone. Long-term analysts argue ETH is in an accumulation phase despite weak price momentum. Ethereum’s roadmap points to renewed focus on self-sovereignty and user experience beyond 2025. In a recent post on X , McGlone pointed to persistent range-bound trading and rising macro risks weighing on the asset. He said Ether has remained trapped in a $2,000–$4,000 range since 2023, but momentum appears to be shifting toward the lower end. Rising Market Volatility Could Keep Ethereum Below $2,000 McGlone argued that the risks of Ethereum staying below $2,000 are greater than the chances of a sustained breakout above $4,000, especially if volatility in global equity markets rebounds. His accompanying chart highlights repeated failures near the upper boundary of the range, alongside multiple tests of support closer to $2,000. McGlone’s view contrasts with a more optimistic narrative circulating among crypto-focused analysts. BullifyX, a widely followed market commentator, recently compared Ethereum’s long-term price structure to that of gold. According to BullifyX, Ethereum is undergoing an extended accumulation phase characterized by gradual higher lows and compressed price action, a pattern that historically preceded strong rallies in traditional safe-haven assets. Every time I look at the #Ethereum chart, it mirrors #GOLD a little too perfectly. Long accumulation. Relentless structure. Explosive moves after patience is rewarded. That’s not weakness that’s strength building quietly. Once you see it, you can’t unsee it. $ETH isn’t… pic.twitter.com/G9ndiXsQVO — BullifyX (@Bullify_X) January 25, 2026 The analyst described Ethereum’s current behavior as a period of quiet positioning rather than fading demand, suggesting that prolonged consolidation could ultimately lay the groundwork for a sharp upside move once conditions shift. Meanwhile, Ethereum co-founder Vitalik Buterin has framed 2026 as more than a technical milestone. In a recent post , he said the community is entering a phase focused on restoring personal autonomy and improving user experience, arguing that earlier compromises made in pursuit of adoption no longer need to define the network’s future. “2026 is the year that we take back lost ground in terms of self-sovereignty and trustlessness,” Buterin said in an X post. Together, record activity, falling fees, and rising participation suggest Ethereum is entering a new phase, one where scale no longer comes at the expense of accessibility. Ethereum Foundation Makes Quantum-Resistant Security a Strategic Priority As reported, the Ethereum Foundation has elevated post-quantum security to a core strategic focus, forming a dedicated Post Quantum team and committing $2 million to the effort. Announced by Ethereum researcher Justin Drake, the initiative will be led by Thomas Coratger alongside Emile, a contributor to leanVM. Drake said the foundation has been working on quantum-resilience research quietly for years, dating back to early discussions in 2019, before formally making it a top-level priority. The foundation’s plan spans research, development, and ecosystem coordination. This includes new developer calls focused on user-facing security, two $1 million cryptography prize programs, active multi-client post-quantum testing networks, and a series of global workshops aimed at accelerating collaboration and readiness across the Ethereum ecosystem. The post ETH More Likely to Hit $2,000 Than Reclaim $4,000: Analyst appeared first on Cryptonews .

26 Jan 2026, 03:30

A16z Researcher Explains Why Bitcoin and Ethereum Face Different Quantum Risks Than You’ve Been Told

A new deep-dive from A16z research partner and Georgetown computer science professor Justin Thaler pours cold water on breathless quantum panic, arguing that while quantum threats are real, the crypto industry is badly mismatching urgency to reality. Quantum Fear vs. Cryptographic Reality: A16z Research Partner Weighs In A newly circulated research X article from Justin

26 Jan 2026, 00:10

Report: Arctic Storm Front Disrupts US Bitcoin Mining, Block Times Stretch Past 12 Minutes

On Sunday morning around 10 a.m., theminermag.com—a platform tracking bitcoin mining news, data, research, and analysis—reported that Foundry USA has seen roughly 60% of its hashrate vanish as miners dial back production, with an Arctic cold front expected to barrel into several states. Storm-Driven Curtailment Pushes Bitcoin Block Times Higher A massive winter storm, powered

25 Jan 2026, 22:55

ChatGPT’s Alarming Integration: How Elon Musk’s Controversial Grokipedia Is Shaping AI Responses

BitcoinWorld ChatGPT’s Alarming Integration: How Elon Musk’s Controversial Grokipedia Is Shaping AI Responses In a development raising significant questions about artificial intelligence neutrality and source reliability, OpenAI’s ChatGPT has begun incorporating information from Elon Musk’s politically-charged Grokipedia encyclopedia. This integration, first documented in January 2026, represents a potentially troubling cross-pollination between mainstream AI systems and ideologically-driven knowledge bases. Consequently, researchers and journalists now scrutinize how large language models select their training data and reference materials. The situation highlights growing concerns about algorithmic bias in an increasingly polarized information ecosystem. ChatGPT’s Grokipedia Citations: Documented Evidence and Patterns The Guardian’s investigative reporting revealed that GPT-5.2, OpenAI’s latest iteration, cited Grokipedia in response to nine distinct queries during systematic testing. Interestingly, these citations did not appear for widely-debunked historical claims where Grokipedia’s inaccuracies have received public attention. Instead, the AI referenced the xAI encyclopedia for more obscure topics, including disputed claims about historian Sir Richard Evans that reputable sources had previously corrected. This selective citation pattern suggests either algorithmic weighting or training data peculiarities influencing source selection. Meanwhile, Anthropic’s Claude AI also demonstrates similar behavior, occasionally citing Grokipedia when responding to specific historical and political queries. This parallel development indicates potential industry-wide challenges in source vetting for AI training corpora. Both companies maintain they draw from diverse publicly available sources, but the inclusion of demonstrably biased material raises ethical questions about due diligence in content filtering. The Grokipedia Controversy: Origins and Content Analysis Elon Musk’s xAI launched Grokipedia in October 2025 following Musk’s persistent criticisms of Wikipedia’s alleged liberal bias. The encyclopedia, generated primarily by AI systems, immediately attracted scrutiny for its unconventional content approaches. While many articles appeared copied directly from Wikipedia with minimal alterations, others contained significant ideological departures from consensus scholarship. Medical Misinformation: Grokipedia entries suggested pornography contributed significantly to the AIDS crisis, contradicting established epidemiological research. Historical Revisionism: The platform presented ideological justifications for slavery and used denigrating terminology for transgender individuals. Source Transparency: Unlike Wikipedia’s rigorous citation requirements, Grokipedia often lacked verifiable sourcing for controversial claims. These characteristics aligned with earlier controversies surrounding xAI’s Grok chatbot, which had described itself as “Mecha Hitler” and was reportedly used to generate sexualized deepfakes on the X platform. The encyclopedia’s development reflected Musk’s broader critique of mainstream knowledge institutions while raising questions about replacing one potential bias with another. Expert Analysis: The Implications of AI Source Integration AI ethics researchers express concern about the normalization of ideologically-driven sources within mainstream language models. Dr. Elena Rodriguez, director of the Stanford Digital Ethics Lab, notes: “When AI systems incorporate controversial sources without clear disclaimers, they risk presenting biased information as neutral fact. This challenges fundamental principles of algorithmic transparency and user trust.” The technical implementation raises additional questions. Language models typically weight sources based on frequency, recency, and perceived authority within their training data. Grokipedia’s inclusion in ChatGPT’s responses suggests either intentional integration or insufficient filtering of newly available online sources. OpenAI’s statement about drawing from “a broad range of publicly available sources and viewpoints” acknowledges this approach but doesn’t address quality assessment mechanisms. Comparison: Wikipedia vs. Grokipedia Content Approaches Feature Wikipedia Grokipedia Editorial Process Community-reviewed with citation requirements AI-generated with limited human oversight Bias Management Neutral point of view policy Explicitly conservative-leaning orientation Controversial Content Flagged and discussed on talk pages Presented without qualification Source Transparency Inline citations required Often lacks verifiable sourcing The Broader AI Landscape: Source Reliability Challenges This development occurs amidst increasing scrutiny of AI training data quality and diversity. Major language models traditionally trained on enormous web corpora containing both reliable and questionable sources. However, the deliberate inclusion of an ideologically-positioned encyclopedia represents a new dimension in source selection debates. Furthermore, the timing coincides with heightened regulatory attention to AI transparency requirements in both the European Union and United States. Industry analysts observe that AI companies face difficult balancing acts between content diversity and quality control. Completely excluding controversial sources might create echo chambers, while indiscriminate inclusion risks propagating misinformation. The optimal approach likely involves sophisticated source evaluation, clear labeling of contentious information, and user education about AI limitations. Currently, no industry standard exists for handling politically-charged source material in training data. Technical Implementation and Future Implications From a technical perspective, Grokipedia’s integration likely occurred through several potential pathways. The encyclopedia might have been included in web crawls for training data updates, or OpenAI might have intentionally incorporated it to broaden viewpoint diversity. Regardless of the mechanism, the outcome demonstrates how source selection decisions directly impact AI output quality and neutrality. Looking forward, this situation may accelerate development of source attribution standards and bias detection protocols within the AI industry. Some researchers advocate for “nutrition labels” indicating the ideological composition of training data, while others propose automated systems flagging potentially controversial claims. These developments will significantly influence public trust in AI systems as information sources across educational, journalistic, and research applications. Conclusion ChatGPT’s incorporation of Elon Musk’s Grokipedia represents a critical moment in AI development, highlighting unresolved challenges in source evaluation and algorithmic neutrality. As language models increasingly serve as primary information interfaces, their source selection processes require greater transparency and ethical consideration. The Grokipedia integration underscores the need for robust content evaluation frameworks that balance diversity with accuracy. Ultimately, this development emphasizes that AI systems reflect not only their algorithms but also the quality and character of their training materials, making source curation as important as model architecture in determining reliable outputs. FAQs Q1: What is Grokipedia and who created it? Grokipedia is an AI-generated encyclopedia developed by Elon Musk’s xAI, launched in October 2025. It was created in response to Musk’s criticisms of Wikipedia’s alleged liberal bias and contains content with conservative-leaning perspectives on various topics. Q2: How frequently does ChatGPT cite Grokipedia? According to The Guardian’s testing in January 2026, GPT-5.2 cited Grokipedia nine times in response to more than a dozen different questions. The citations appeared primarily for obscure historical claims rather than widely-debated topics where Grokipedia’s inaccuracies have been publicly documented. Q3: Are other AI systems using Grokipedia as a source? Yes, Anthropic’s Claude AI has also been observed citing Grokipedia when responding to certain queries. This suggests the phenomenon may reflect broader challenges in AI source evaluation rather than being specific to OpenAI’s systems alone. Q4: What controversial content does Grokipedia contain? Grokipedia has been criticized for containing medical misinformation about HIV/AIDS, ideological justifications for historical slavery, and denigrating terminology for transgender individuals. Many articles appear copied from Wikipedia, while others present significant departures from consensus scholarship. Q5: How has OpenAI responded to these findings? An OpenAI spokesperson told The Guardian that the company “aims to draw from a broad range of publicly available sources and viewpoints.” This statement acknowledges the inclusion of diverse sources but doesn’t specifically address quality assessment processes for controversial materials like Grokipedia. This post ChatGPT’s Alarming Integration: How Elon Musk’s Controversial Grokipedia Is Shaping AI Responses first appeared on BitcoinWorld .

25 Jan 2026, 22:25

Canada China FTA Shelved: Carney’s Strategic Pivot Amid Trump’s Tariff Threats

BitcoinWorld Canada China FTA Shelved: Carney’s Strategic Pivot Amid Trump’s Tariff Threats OTTAWA, March 2025 — Canadian Prime Minister Mark Carney has definitively shelved plans for a comprehensive free trade agreement with China, marking a significant strategic pivot in North American trade relations. This decision follows former President Donald Trump’s explicit threat to impose 100% tariffs on Canadian exports should Ottawa proceed with Beijing negotiations. The announcement, first reported by Solidintel, represents a critical juncture in Canada’s foreign policy and economic strategy. Canada China FTA: The Strategic Retreat Prime Minister Mark Carney’s administration has confirmed the suspension of all formal free trade agreement discussions with China. Consequently, this decision reverses years of exploratory talks between Ottawa and Beijing. The Canadian government now prioritizes strengthening existing trade partnerships instead. Specifically, officials cite the need to maintain stable North American economic relations as paramount. Moreover, this strategic retreat reflects broader geopolitical realignments affecting global trade patterns. Canada’s trade relationship with China has evolved significantly over the past decade. Initially, bilateral trade reached approximately $100 billion annually before recent tensions. However, several factors have complicated deeper integration: n Security Concerns: Cybersecurity issues and intellectual property protection Human Rights: Ongoing diplomatic disagreements on multiple fronts Supply Chain Dependencies: Lessons from pandemic-era disruptions US Relations: Maintaining privileged access to American markets Trump’s Tariff Ultimatum and Its Implications Former President Donald Trump’s intervention via Truth Social fundamentally altered the negotiation calculus. His explicit threat promised devastating economic consequences for Canada. Specifically, 100% tariffs would target key Canadian export sectors. These include automotive products, agricultural goods, and manufactured items. Therefore, Canadian officials conducted urgent economic impact assessments following the warning. The potential damage from such tariffs would be substantial. For instance, consider these projected impacts on major Canadian industries: Industry Export Value to US Potential Tariff Impact Automotive $50 billion Complete market disruption Agriculture $30 billion Farm bankruptcy wave Energy $80 billion Pipeline project cancellations Manufacturing $40 billion Massive job losses Geopolitical Calculations and Expert Analysis Trade policy experts universally recognize Canada’s difficult position. Dr. Sarah Chen, Director of the North American Trade Institute, explains the strategic dilemma. “Canada faces a classic geopolitical trilemma,” she notes. “Simultaneously, the country cannot maintain full sovereignty while pursuing independent trade with China and preserving privileged US market access.” Consequently, Ottawa must choose between competing priorities carefully. Historical context illuminates this decision further. Previously, the Trudeau administration explored China trade diversification following USMCA renegotiations. However, changing global conditions have reduced that initiative’s feasibility. Meanwhile, the Biden administration maintained pressure on allies regarding China relations. Now, Trump’s explicit threats have created even stronger disincentives. Canada’s Alternative Trade Strategy Development The Carney government has developed a multi-pronged alternative approach instead. This strategy focuses on several key areas simultaneously. First, strengthening existing trade agreements remains the top priority. Second, diversifying partnerships beyond both China and the United States offers new opportunities. Third, domestic economic resilience building receives increased attention. Specifically, Canada now pursues several parallel initiatives: CPTPP Enhancement: Deepening ties with Pacific Rim partners EU-Canada CETA: Expanding the comprehensive economic agreement UK-Canada FTA: Finalizing post-Brexit trade arrangements ASEAN Engagement: Building Southeast Asian trade connections Domestic Innovation: Boosting Canadian technological sovereignty This diversified approach mitigates single-market dependency risks effectively. Additionally, it aligns with broader Western economic security initiatives. Furthermore, it maintains Canada’s commitment to rules-based international trade principles. China’s Response and Bilateral Relations Future Beijing has responded to Canada’s decision with measured disappointment. Chinese officials emphasize their continued interest in comprehensive trade agreements. However, they acknowledge geopolitical realities affecting negotiations. Meanwhile, existing Canada-China trade continues under current frameworks. These include various sectoral agreements and memoranda of understanding. The bilateral relationship now enters a new phase characterized by pragmatic engagement. Specifically, cooperation continues in areas of mutual interest including: Climate change initiatives and green technology Educational exchanges and research collaboration Limited agricultural trade and resource exports Multilateral forum coordination on global issues Nevertheless, comprehensive economic integration remains off the table currently. This limitation reflects structural realities in contemporary international relations. Moreover, it demonstrates how middle powers navigate great power competition carefully. Conclusion Prime Minister Mark Carney’s decision to shelve the Canada China FTA represents a pragmatic assessment of economic and geopolitical realities. The Trump tariff threat accelerated an existing strategic reevaluation process. Consequently, Canada now pursues diversified trade relationships while maintaining crucial US market access. This approach balances economic interests with security considerations effectively. Ultimately, the Canada China FTA suspension illustrates how middle powers navigate complex international environments in 2025. FAQs Q1: What exactly did Prime Minister Carney announce regarding China trade? Prime Minister Carney confirmed that Canada has no current plans to pursue a comprehensive free trade agreement with China. This decision follows former President Trump’s threat of 100% tariffs on Canadian exports if such an agreement proceeded. Q2: How would Trump’s proposed tariffs affect the Canadian economy? The 100% tariffs would devastate key Canadian export industries, particularly automotive, agriculture, energy, and manufacturing sectors. Economic models suggest potential GDP contraction of 3-5% and significant job losses across multiple provinces. Q3: Does this mean Canada will stop trading with China entirely? No, existing trade continues under current agreements. The decision specifically concerns a comprehensive free trade agreement that would significantly deepen economic integration beyond current levels. Q4: What alternatives is Canada pursuing instead of a China FTA? Canada is strengthening existing agreements like CETA with the EU, enhancing CPTPP participation, finalizing a UK trade deal, engaging ASEAN nations, and boosting domestic innovation to reduce external dependencies. Q5: Could Canada revisit China trade talks if US leadership changes again? While theoretically possible, experts believe structural factors beyond US politics make comprehensive China trade integration unlikely for Canada in the medium term, regardless of American administration changes. This post Canada China FTA Shelved: Carney’s Strategic Pivot Amid Trump’s Tariff Threats first appeared on BitcoinWorld .

25 Jan 2026, 21:57

Is blockchain facing a quantum threat right now?

Venture capital firm a16z crypto research partner and associate professor in the Department of Computer Science at Georgetown University, Justin Thaler, has urged the cryptocurrency industry to resist panic over quantum computing threats. The research partner argues that the timeline for cryptographically relevant quantum computers remains distant and that premature migration to post-quantum cryptography could introduce more immediate risks than the theoretical danger itself. Is blockchain facing a quantum threat right now? In a detailed blog post that was also shared on X, Thaler challenged what he described as frequently exaggerated predictions about quantum computing capabilities. He defined a cryptographically relevant quantum computer as a fault-tolerant machine capable of breaking the secp256k1 elliptic curve used in Bitcoin and Ethereum, or RSA-2048 encryption, within approximately one month. Thaler wrote, “We are nowhere near a cryptographically relevant quantum computer by any reasonable reading of public milestones and resource estimates.” Based on publicly available milestones, Thaler assessed such a breakthrough in the 2020s as highly unlikely, pointing to the U.S. government’s 2035 target for widespread post-quantum cryptography adoption in federal systems as a more reasonable planning horizon. However, he stated that “it is not a forecast that a cryptographically relevant quantum computer will exist by then.” The a16z position distinguishes between different categories of cryptographic systems and their respective vulnerabilities. While Thaler acknowledged that post-quantum encryption demands immediate deployment due to harvest-now-decrypt-later (HNDL) attacks already underway, he stated that digital signatures used in Bitcoin and Ethereum face no such risk because blockchain data is inherently public. Zero-knowledge proofs generated before quantum computers arrive would also remain trustworthy, he said. What are blockchain stakeholders doing about the quantum threat? While Thaler makes his submission on what stakeholders should be prioritizing, players in the blockchain space have been making moves in preparation for the post-quantum phase, with the Ethereum Foundation announcing a newly formed post-quantum team . Coinbase has also created an independent advisory board on quantum computing and blockchain. The board comprises industry experts and researchers, one of whom is Justin Drake of the Ethereum Foundation. The board is tasked with assessing the implications of quantum computing for the blockchain ecosystem and providing clear, independent guidance to the broader community. Franklin Bi, general partner at Pantera Capital, reacted to the Ethereum Foundation’s PQ team announcement by stating that blockchain systems may be better prepared to adopt and adapt to the post-quantum phase compared to traditional financial institutions on Wall Street. He wrote , “People are over-estimating how quickly Wall Street will adapt to post-quantum cryptography. Like any systemic software upgrade, it’ll be slow & chaotic with single points of failure for years. Traditional systems are only as strong as their weakest links.” In making his case for blockchains, he stated, “Equally, people are under-estimating the unique ability of blockchains to enact a system-wide software upgrade at global scale,” adding that if done successfully and timely, blockchain networks can evolve into post-quantum “safe havens” for data and assets. What does Thaler recommend? Thaler left some recommendations stating that all stakeholders, companies, governments, and policymakers should “take the quantum threat seriously,” but added that they should not “act under the presumption that a cryptographically relevant quantum computer will arrive before 2030.” He stated that stakeholders should deploy hybrid encryption immediately, especially in places where long-term confidentiality matters and costs are tolerable. Thaler also wrote that “Blockchains don’t need to rush post-quantum signatures — but should start planning now.” For privacy chains that encrypt or hide transaction details, Thaler stated that they should prioritize a transition sooner if performance is tolerable. Another point that he reiterated is that stakeholders should prioritize implementation security and not quantum threat mitigation in the near term. He called for more funding for quantum computing development while also trying to get people to treat new information as progress reports to critically assess, not prompts for abrupt action for now. Thaler acknowledged that there will be innovations and developments that may shorten the timelines, but also said bottlenecks may also arise that may push the timeline forward. Want your project in front of crypto’s top minds? Feature it in our next industry report, where data meets impact.