MEV pertains to the potential profit that blockchain validators or other players can secure by rearranging transactions within a block prior to its finalization. In the Ethereum ecosystem, MEV generally employs tactics such as arbitrage, front-running, or sandwich attacks, where traders capitalize on price discrepancies to boost their profits.

The paper, named “Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest,” examined how arbitrageurs exploit price differences between centralized (CEX) and decentralized (DEX) crypto exchanges, thereby outpacing minor users.

The report’s authors noted that “at the time of writing, three builders, beaverbuild, Titan, and rsync, control the Ethereum builder market, two of which integrate their own CEX-DEX searchers vertically.” They added that this integration raises significant issues regarding Ethereum’s decentralization and security, as it promotes economies of scale favoring dominant players, enables monopoly pricing leading to proposer loss, and heightens the risk of censorship and commitment attacks.

The study concluded that the monopolization of CEX-DEX arbitrage via exclusive contracts with block builders intensifies the “centralization pressures” within Ethereum’s ecosystem. As a result, it is crucial to consider this when determining the future path and expansion of the layer-1 network.

Under Ethereum’s Proposer-Builder Separation (PBS), block proposers can delegate the task of block construction to entities known as builders to enhance censorship resistance. However, the research paper’s authors and other critics of PBS argue that this system centralizes the network and creates an unfair market environment for smaller participants.

In March, anonymous Ethereum researcher Malik672 suggested that the process of Ethereum block building should be democratized, allowing a vast number of participants to contribute to block building and improve network decentralization. “With 80% of blocks currently proposed by just two entities. This compromises decentralization and fairness,” the researchers observed.

Ethereum’s co-founder, Vitalik Buterin, had previously proposed to address MEV by developing alternative infrastructure, incorporating crypto exchanges. Buterin also suggested that MEV could be reduced by depriving MEV arbitrageurs of the onchain data they need to profit from intricate trades and transaction reordering.

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Many retail traders rely heavily on hype cycles and news headlines. By the time a project starts trending on platforms like YouTube or Reddit, the window for early entry has typically closed. To truly discover and analyze crypto innovations before investing, you need more than just better charts. This is where GitHub, Discord, and X can provide a much-needed edge.

Each of these platforms offers a unique perspective on a project’s legitimacy. GitHub can unveil the true effort of developers, the frequency of commits, and whether a team is actively producing real code. Discord, on the other hand, can expose the health of a community and whether its members are genuinely building and asking thoughtful questions or simply hyping up airdrops. X provides a direct line to devs and founders, giving you raw insight into what they’re thinking, building, and shipping, often before formal announcements are made.

When combined, GitHub, Discord, and X offer a three-dimensional research framework to filter out the hype and uncover legitimate crypto innovation. This guide will detail how you can use these platforms effectively to identify hidden crypto gems early and invest with clarity, not FOMO.

But remember, these platforms aren’t just for spotting real crypto innovation – they’re also hotbeds for scams. On GitHub, never download files or run code you don’t fully understand. On Discord, beware of fake admins and DMs offering ‘airdrops’ or urgent wallet fixes. And on X, be vigilant of scammers impersonating founders with verified-style handles. Always double-check usernames and links. Use read-only browsing when possible, and never share your seed phrase.

Ultimately, the key to successful crypto research lies in moving beyond the hype and focusing on what’s being built and discussed. By using GitHub, Discord, and X effectively, you can gain a comprehensive understanding of a project, its community, and its future prospects before making any investment decisions.

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In a post on May 5, HydraDAO, a decentralized scientific (DeSci) project, disclosed that its research had enabled rats with completely severed spines to regain their mobility. Astonishingly, recovery from the surgical procedure reportedly took a mere five days. The DAO released a video showing the rats, partially shaven due to the surgery, walking around what appears to be a lab environment.

The research project dubbed the Dowell spinal fusogens, led by Michael Lebenstein-Gumovski, successfully raised 380,700 USDC from donors. HydraDAO’s official page states that the Dowell team proposed the project to HydraDAO and, after careful examination and two peer evaluations, HydraCore found it beneficial to the HydraDAO community.

The Dowell team has been researching fusogens, chemicals known for their ability to connect severed nerve fibers. The team has developed a compound called neuro-PEG, a combination of a biopolymer from crustacean shells known as chitosan and polyethylene glycol (PEG). This compound solidifies quickly when exposed to light, making it an ideal scaffold for more permanent spinal cord welding.

In addition to this, the Dowell team employs neuroprotection techniques such as localized hypothermia and cellular death inhibitors to prevent further damage to nerve tissue. A scientific paper published by Gumovski in 2023 in Surgical Neurology International revealed that pigs treated with neuro-PEG regained their mobility in two months.

Although the evidence provided by HydraDAO is encouraging, it is crucial to remain cautious until multiple independent teams can replicate the results. HydraDAO has pledged to conduct additional experiments to validate the research results. However, further investigations are necessary to determine whether this technique can be applied to real-world spinal injuries.

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Simultaneously, Bitcoin’s 30-day price volatility against the US dollar has been gradually decreasing. Data from BitBo and TheBlock reveal that BTC volatility has been on a steady decline since 2011, and particularly since 2021.

Low volatility can be interpreted as bearish for cryptocurrencies and stocks as prices tend to fluctuate more during bull markets and correct more abruptly. As a consequence, low volatility might be seen as a sell or wait signal by some traders. However, this record low in volatility coincides with a robust BTC rally backed by Wall Street funds and crypto exchanges, making it challenging to label it as a bearish indicator.

Instead, the diminished BTC volatility might be a reflection of Bitcoin’s massive market cap, approaching the $2 trillion mark at the start of May, leading to smoother liquidity. The impact of large-scale participants, or whales, on the overall market has significantly diminished.

This is a positive development for Bitcoin, indicating the network’s rapid capitalization growth, transforming it from a small, volatile boat in the ocean to a large, steady, and dignified vessel.

A 2024 study by Fidelity Digital Assets highlighted some intriguing facts about Bitcoin’s price volatility. It stated, “Bitcoin is volatile, but less so than many popular mega-cap stocks.” The Boston-based investment giant also noted, “Bitcoin is currently less volatile than 33 S&P 500 stocks, and as recently as late 2023, there were 92 S&P 500 stocks more volatile than bitcoin.”

The report accurately predicted, “Bitcoin’s volatility has declined and is expected to continue doing so.” Meanwhile, Bitcoin’s price has been on an upward trajectory since hitting a low of under $75,000 in early April, now teetering on the brink of $100,000.

The post Witnessing a Quiet Giant: Bitcoin’s 563-Day Low Volatility Streak appeared first on Crypto Market Insights: Dive In with CryptoUpdate.io.

Science continually strives to break new ground. However, current limitations such as constrained journals, sluggish institutions, and research funding bogged down by red tape, hinder this progress. These restrictions serve gatekeepers rather than explorers. But what if we could eliminate these barriers? What if we could liberate science?

In the past few years, we’ve seen the emergence and growth of decentralized science (DeSci), transforming from a fringe concept to a key player in the crypto sector. Once considered a small-scale idea, DeSci now commands a market cap of approximately $1 billion, with half of the top 10 DeSci projects launched just last year, as reported by Messari. What began as a whisper has turned into a thunderous call to action, resonating through academic corridors, biotech labs, and decentralized autonomous organizations.

However, the enthusiasm surrounding DeSci isn’t enough to overcome substantial hurdles such as scalability, quality control, reproducibility, and practical adoption. It’s a work in progress, not a complete revolution. Here, artificial intelligence (AI) steps in, not merely as a tool, but as the missing piece that could catapult DeSci from a daring endeavor to an unstoppable force.

AI is already transforming the traditional science (TradSci) arena, unraveling massive data sets, uncovering unseen patterns, and solving complex problems in less time. It’s also driving advancements in longevity research, drug development, materials science, and computational biology. However, AI’s potential is curtailed by centralization, with its access largely controlled by a few corporations, elite universities, and government institutions.

What if we combined the decentralized framework of DeSci with the power of AI into one integrated system? A system where science is decentralized, intelligent, autonomous, and fundamentally open? Let’s call this combination DeScAI.

Envision a world where every experiment, data set, and discovery isn’t hidden behind paywalls or confined to proprietary vaults, but flows freely across a decentralized, living network. That’s the vision of DeScAI, where blockchain and AI come together to create an open, intelligent, and self-sustaining ecosystem. Knowledge isn’t just stored — it lives, grows, and connects. AI curators sift through vast data sets, linking research across disciplines, revealing hidden insights, and transforming isolated findings into a shared intellectual network.

DeScAI could democratize access to AI tools for independent researchers, turning the world into a massive, decentralized supercomputer. Every idle processor, surplus server, and untapped resource could contribute to a global grid where computing power isn’t a commodity but a shared asset. If you need to map the human brain or train a biodiversity model, you won’t need to rely on a tech giant — just tap into the collective machine. Fairness is ensured through smart incentives, distribution is optimized by AI, and science advances at an unprecedented speed.

As for funding, DeScAI could replace the archaic grant system with a marketplace of ideas where anyone can directly support groundbreaking projects. No more elite panels or bureaucratic red tape. AI-assisted platforms analyze proposals, suggest collaborations, and help communities vote with their resources. If an idea is worthy, it gets the backing it deserves.

DeScAI could potentially turn the peer review process into a dynamic, real-time procedure. Research is uploaded to an immutable ledger, where AI immediately verifies data integrity and flags potential conflicts of interest. Expert reviewers, now active, rewarded participants, provide transparent, constructive, and traceable feedback. Reputations are built on contributions, not credentials, and science becomes an ongoing conversation, not a waiting game.

Perhaps the most revolutionary aspect of DeScAI is its ability to harness isolated curiosity into collective intelligence. What if an AI could help someone in Argentina and Germany discover a connection they wouldn’t have made alone? What if someone working on renewable energy models could instantly access simulations run by climate scientists in another hemisphere? DeScAI makes these moments of serendipity not just possible but inevitable.

Data is the lifeblood of modern science. Today, it’s hoarded, exploited, and sold without the consent of those who produce it. DeScAI empowers people to retain ownership and compensation for their data when it’s used to train AI or develop new models. Blockchain solutions ensure privacy, smart contracts enforce fairness, and the era of data colonialism comes to an end.

Science should be borderless, but geography, institutions, and economics often dictate participation. DeScAI eliminates these barriers. A young coder in Nairobi can collaborate with a neuroscientist in Seoul, not because an institution allows it, but because the infrastructure permits it. AI-driven translation tools dissolve language barriers, decentralized data sharing enables seamless collaboration, and research teams form around ideas, not affiliations.

The resistance will be fierce. Academic publishers, government agencies, and corporate research labs have built their influence on exclusivity. They will resist an open system where knowledge flows freely, research is verifiable in real-time, and funding is not dependent on institutional decisions. Critics may argue that decentralized oversight cannot maintain quality control and that it’s unrealistic to expect cohesive governance from a network of tokenholders and autonomous agents. However, the success of DeScAI doesn’t rely on dismantling the existing research order — it depends on demonstrating superior efficiency, fairness, and innovation. Just as DeFi forced the banking sector to acknowledge new economic models, DeScAI will force research institutions to do the same.

This isn’t a slow evolution — it’s a shift in scientific power. The old system, built on secrecy and hierarchy, collides with a new model of openness and decentralization. The question for those still entrenched in traditional academia is whether they will adapt or be left behind as knowledge production moves into a future they can no longer control.

Opinion by: Dr. Sasha Shilina, the founder of Episteme and researcher at Paradigm Research Institute. This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.

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The ‘deep research’ agent is designed to cater to the needs of those involved in knowledge-intensive work, such as finance, science, policy, and engineering. It can provide detailed, accurate, and trustworthy research. Moreover, it can assist in research for high-value purchases, like automobiles, appliances, etc. The research output, which can take 5 to 30 minutes, is fully documented with clear citations and a summary of its thought process.

This new agent comes after the January 23rd launch of ‘Operator’, another ChatGPT agent capable of performing tasks like grocery shopping and booking vacations online. The announcement follows the recent commotion caused by the arrival of a new AI model from China-based DeepSeek, which reportedly matched the performance of ChatGPT but at a much lower cost.

According to reports, there is an ongoing investigation by Microsoft and OpenAI into a potential breach of ChatGPT’s API data by a group associated with DeepSeek. OpenAI has claimed that their ‘deep research’ agent achieved a record score on the AI assessment called ‘Humanity’s Last Exam’, which features 3,000 expert-level questions on more than 100 topics.

The ‘deep research’ agent utilizes OpenAI’s latest ‘reasoning model’, the o3 model, which is designed for web browsing and data analysis. Despite its impressive performance, OpenAI cautions users that the agent may occasionally produce incorrect inferences or ‘hallucinate’ facts, and may have difficulty distinguishing between authoritative information and rumors.

In January, Google revealed plans to implement a similar feature, also named ‘Deep Research’, in its AI model Gemini by early 2025. OpenAI’s ‘deep research’ agent is currently available for its Pro plan subscribers at $200 per month, limited to 100 queries a month.

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Cryptos Go Wild: Unprecedented Price Moves Spotted!

Bitcoin, the original and still most prominent cryptocurrency, has experienced a 40% price drop since hitting record highs earlier this year. At the same time, others like Ethereum have seen around 80% drops while Dogecoin has gone up almost 70% in that same time frame. These wildly different fluctuations in value are quite striking, as typically crypto prices have moved together in unison. This unparalleled variability currently observed confirms the need for a deeper and more nuanced understanding of how these currencies are truly valued in the market.

A significant part of this disconnection can be attributed to the fact that the market is now filled with a broader range of investors than ever previously seen in the crypto arena. It’s speculated that a combination of new entrants and some market insiders taking advantage of inefficiencies associated with smaller trading volumes and the uncharted nature of the industry could all be leading to the unprecedented fluctuations we’re witnessing.

Data Dispels Myths: No Connection Amid Crypto Mix-up!

The new data has been especially enlightening as it highlights one of the significant myths surrounding crypto prices. Traditionally, there has been an assumption that when the dollar is weak, digital currencies should strengthen. However, that correlation has been debunked by fresh evidence emerging from the current crypto price volatility. The dollar continues to experience weakness in global markets, while crypto prices show no meaningful connection to that trend.

Overall, the new data provides an extremely compelling argument for changing how the market thinks about crypto prices. It underscores the need to view these digital currencies independently from traditional assets and factors, essentially creating a more nuanced and pragmatic approach. While these wild price swings might produce some headaches for those investing, they point towards a future where digital currencies become more mainstream, efficient, and ultimately more valuable.

In summary, the recent scatter in crypto prices has come as quite a surprise, showcasing the extreme range of variability in the digital assets category. The discrepancy in rise and fall has been unprecedented, leading to renewed focus on market dynamics and investor behaviour. Now more than ever, experts are calling for a new approach in the evaluation of cryptocurrency, one that strips these coins of their conventional associations and instead treats them as a unique market. It’s a fascinating time in crypto, and we’re excited to keep watching and analyzing these ever-evolving trends!

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