# Algorithm İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Algorithm" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Developing 15 Products to Test Human Nature, This 'Dopamine Dealer' Became Musk's Product Chief

Nikita Bier, a 36-year-old product expert known for creating viral social apps like tbh and Gas, was appointed as the head of product at X (formerly Twitter) in June 2025. Under Elon Musk’s vision to transform X into a super-app integrating social, financial, and informational services, Bier has led significant changes—such as refining the recommendation algorithm, introducing Smart Cashtags for real-time stock and crypto data, and restructuring creator incentives. Bier’s career reflects a shift from idealistic tech solutions to leveraging human psychology for engagement. His early app Politify aimed to inform voter decisions through data but failed to change behavior. Later, he built tbh—an anonymous compliment app—which gained 5 million users and was acquired by Facebook. After leaving Meta, he created Gas, which monetized social validation and was sold to Discord for $50 million. At X, Bier is applying his expertise in emotional engagement and behavioral design to merge social interactions with financial activities. By analyzing user emotions—likes, shares, comments—X aims to prompt seamless in-app trading and payments, targeting financially anxious younger users who often turn to social media for investment cues. However, X faces challenges including entrenched user habits favoring specialized apps, regulatory scrutiny, and potential risks of encouraging impulsive financial behavior through emotional triggers. Bier’s strategy focuses on making financial actions a natural extension of social engagement—testing whether a Western super-app can succeed where others have failed.

marsbitDün 03:35

Developing 15 Products to Test Human Nature, This 'Dopamine Dealer' Became Musk's Product Chief

marsbitDün 03:35

Ethereum Builds Team To Guard Against Quantum Threat

The Ethereum Foundation has formed a new Post-Quantum (PQ) team, led by Thomas Coratger, to prepare the network for potential quantum computing threats. The team, which includes cryptographers and engineers, is transitioning from research to practical testing on devnets. Their work involves developing quantum-safe tools and testing new algorithms while ensuring current transactions remain unaffected. A $2 million prize pool has been announced to encourage improvements in quantum-resistant solutions, including $1 million dedicated to enhancing the Poseidon hash function. Multi-client devnets are already active, with biweekly research sessions and a Post-Quantum Day planned for March 2026. Although the quantum risk is not immediate, Ethereum is proactively addressing it to ensure a smoother transition and better protect users and the network. Community reactions are mixed, with some praising the initiative while others express concerns about implementation and wallet upgrades.

bitcoinist2 gün önce 20:01

Ethereum Builds Team To Guard Against Quantum Threat

bitcoinist2 gün önce 20:01

X Content Order Reshuffle: Three New Rules Redefining Value Stratification

X platform has initiated a major restructuring of its content ecosystem, introducing three core changes to redefine value distribution and content hierarchy. First, a dedicated "Meme" category has been introduced, separating entertainment-focused content from informational assets. This reflects a broader content stratification strategy. Second, the platform has overhauled its creator monetization model. Product lead Nikita Bier confirmed that creator revenue is now solely based on views from the home timeline, excluding replies from earnings calculations. This move effectively devalues low-effort, high-frequency interactions (a practice known as "zuilou" or engagement farming), as the platform now views excessive interactions as inefficient and self-limiting for account reach. Third, X is advancing its "Smart Cashtags" feature, currently in testing and expected to launch next month. This tool allows users to tag tokens or smart contracts in posts, enabling others to view real-time prices and related discussions. It signals X's intent to build infrastructure for "content x finance," structuring asset-related narratives and market sentiment into consumable nodes, with data sourced from both centralized exchanges and on-chain APIs. Concurrently, X has open-sourced its recommendation algorithm, which relies on a Transformer architecture. While making the system more transparent, exposure is now increasingly determined by two key metrics: content "understandability" (clear structure, easy classification) and "consumability" (quick absorption by users), rather than pure engagement volume. In conclusion, these shifts collectively represent a recalibration of content value on X. The platform is moving away from incentivizing mere activity and towards promoting structured, high-quality, and easily distributable information, fundamentally reshaping its content ecosystem and creator economy.

Odaily星球日报01/23 09:59

X Content Order Reshuffle: Three New Rules Redefining Value Stratification

Odaily星球日报01/23 09:59

Why X is betting on Bitcoin voices to fix its new-user problem

X is addressing the new-user cold-start problem by introducing algorithm-driven "Starterpacks"—curated lists of influential accounts across topics like crypto, politics, and culture. This feature aims to provide personalized feeds immediately after sign-up, reducing early user drop-off. The initiative, led by Head of Product Nikita Bier, currently includes around 1,000 such packs, with plans to expand to 3,000. The announcement coincides with a tense crypto market climate, where Bitcoin briefly dipped amid geopolitical concerns but showed quick recovery. While X’s tool may aid user engagement, external factors like global policy continue to significantly influence market sentiment.

ambcrypto01/22 23:04

Why X is betting on Bitcoin voices to fix its new-user problem

ambcrypto01/22 23:04

From "Manual Rules" to "AI Mind Reading": X's New Algorithm Reshapes the Information Flow, More Accurate and More Dangerous

Elon Musk's X (formerly Twitter) has transitioned from a recommendation system based on "manually stacked rules and heuristic algorithms" to one that relies entirely on a large AI model to predict user preferences. The new algorithm, For You," mixes content from accounts a user follows with posts from across the platform that the AI believes the user will like. The process begins by building a user profile based on historical interactions (likes, retweets, dwell time) and user features (following list, preferences). The system then gathers candidate posts from two sources: the user's direct network ("Thunder") and a broader network of potentially interesting content from strangers ("Phoenix"). After data hydration and an initial filtering step to remove duplicates, old posts, or content from blacklisted authors, the core scoring process begins. A Transformer model (Phoenix Grok) predicts the probability of a user taking various positive actions (like, retweet, reply, click) or negative ones (block, mute, report) on each post. A final score is calculated by weighting these probabilities. An Author Diversity Scorer is then applied to reduce the visibility of multiple posts from the same author in a single batch. The highest-scoring posts undergo a final filter to remove policy-violating content and remove duplicates from the same thread before being sorted into the user's feed. The shift represents a move from "telling the machine what to do" to "letting the machine learn what to do." While this can lead to more accurate recommendations and a fairer system that breaks the monopoly of large accounts, it also risks deepening users' "information cocoons" and making them more susceptible to targeted emotional content.

比推01/20 13:38

From "Manual Rules" to "AI Mind Reading": X's New Algorithm Reshapes the Information Flow, More Accurate and More Dangerous

比推01/20 13:38

An AI-Generated 'Whistleblower Post': How Did It Make Two CEOs Write Self-Defense Essays at Midnight?

An anonymous post on Reddit, allegedly written by a drunken backend engineer from a major food delivery platform, went viral with 87,000 upvotes and 36 million views on X. The post accused the company of using algorithms to exploit drivers—assigning “desperation scores” to prioritize orders for more financially vulnerable drivers, delaying regular orders despite promised priority delivery, and misusing driver welfare funds for lobbying against unions. The viral allegations prompted immediate public denials from the CEOs of DoorDash and Uber, who issued statements and social media posts in the middle of the night to refute the claims. DoorDash published a detailed rebuttal on its website. The post was later exposed as an AI-generated hoax by a Platformer reporter. The “whistleblower” provided a fake 18-page technical document and an AI-generated employee ID, which was detected using Google’s SynthID watermarking tool. The account was deleted when further verification was requested. The incident highlights how AI can cheaply and convincingly fabricate content that aligns with public skepticism toward tech platforms. Past real controversies, such as DoorDash’s tip policy and Uber’s Greyball tool, made the false narrative feel plausible. The case underscores growing public anxiety over the difficulty of distinguishing real from AI-generated content and the power of emotionally resonant misinformation—even when debunked—to shape perception.

比推01/07 13:36

An AI-Generated 'Whistleblower Post': How Did It Make Two CEOs Write Self-Defense Essays at Midnight?

比推01/07 13:36

Quantum Computing Emerges as a Potential Threat to Bitcoin Security

Quantum computing poses a potential threat to Bitcoin's security, as highlighted in a report by Coinbase’s David Duong and referenced in BlackRock’s SEC filings. While Bitcoin is known for its strong cryptographic security, advances in quantum computing could undermine it. Cryptographically relevant quantum computers (CRQCs) may eventually break Bitcoin’s encryption, compromising wallet security and transaction integrity. Specific risks include attacks on SHA-256 (used in mining) and Elliptic Curve Digital Signature Algorithms (used in transaction signing). Both traditional finance and open blockchain protocols like Bitcoin and Ethereum are urged to upgrade cryptographic systems to counter this emerging threat.

TheNewsCrypto01/07 06:24

Quantum Computing Emerges as a Potential Threat to Bitcoin Security

TheNewsCrypto01/07 06:24

2026 Opening with Millions in Profit: 'God of War' Vida Reviews the Entire Trading Process of the BROCCOLI714 Incident

In January 2026, crypto trader Vida profited over $1 million during the BROCCOLI714 incident, which involved a suspected hacked market maker account on Binance. Vida’s pre-existing $200,000 long position in BROCCOLI714 and a $500,000 funding rate arbitrage position were already in place. Alert systems triggered when the token’s price surged abnormally and a massive spot-contract price gap emerged. Recognizing the order book showed a highly unusual $26 million in buy orders—indicating a hack or system error rather than legitimate market activity—Vida quickly closed his arbitrage positions for a $300,000 gain. He then capitalized on the volatility by adding long positions in Binance perpetual contracts during a brief “reduce-only” lift and later selling his holdings for $1.5 million as signs of the attacker’s withdrawal emerged. Anticipating a crash once Binance risk controls intervened, Vida opened $400,000 in short positions around $0.065 and closed near $0.02, further boosting profits. Key factors included his automated alert systems, real-time order book analysis, collaboration with other traders, and correctly predicting the attacker’s exit strategy.

比推01/01 00:13

2026 Opening with Millions in Profit: 'God of War' Vida Reviews the Entire Trading Process of the BROCCOLI714 Incident

比推01/01 00:13

X Platform's New Monetization Rules: Farewell to Invalid Exposure, Focus on High-Quality Engagement

"X Platform's Monetization Shift: Prioritizing Quality Engagement Over Vanity Metrics" An author details a personal experiment revealing the inefficacy of chasing high exposure for monetization on X (formerly Twitter). Despite generating 29 million impressions and significant engagement (267.7k interactions, 119.5k likes) through an aggressive strategy of posting 200+ daily comments on popular accounts, the revenue earned was only $71.49. The article argues that in 2025, exposure is a "vanity metric" and a misleading indicator of earnings. The platform's monetization rules now primarily reward genuine interactions from paid, verified users (comments, reposts, likes, bookmarks), while filtering out interactions from free users and bots. The author explains that their strategy, while boosting raw numbers, primarily attracted bot traffic, which diluted their follower base, lowered their verified user ratio (~41%), and potentially triggered algorithm penalties for spam-like behavior. The key takeaway is a fundamental shift in strategy: focus on building a quality community rather than chasing empty exposure. The new recommended approach involves aiming for a 3-5% engagement rate, fostering high-quality comments, maintaining a 45-50% verified user ratio, and creating original content. The conclusion is that X now rewards "content builders" with a dedicated, paying audience, not "traffic speculators" chasing meaningless impressions.

比推12/26 14:18

X Platform's New Monetization Rules: Farewell to Invalid Exposure, Focus on High-Quality Engagement

比推12/26 14:18

29 Million Impressions, Only $71 Earned: How to Make Money from Traffic on X Platform?

An experiment on X platform revealed that chasing high exposure metrics does not translate to meaningful revenue. After generating 28.9 million impressions and gaining 37.5k followers through aggressive tactics like spamming comments and piggybacking on popular accounts, the author earned only $71.49. The key insight is that exposure is a vanity metric—it doesn’t drive earnings. What matters is engagement from paid verified users. Comments and reposts from premium users carry the most weight, while likes and free user interactions contribute little. The platform’s algorithm filters out bot-driven activity, making inflated exposure worthless. The author also experienced negative side effects: bot followers diluted audience quality, reduced trust with the algorithm, and increased the risk of being flagged as spam. The recommended strategy shifts focus to quality over quantity: aim for 3-5% engagement rates, prioritize comments from verified users (45-50% of total followers), and create original content. Sustainable monetization comes from building a genuine community, not chasing empty metrics.

marsbit12/26 06:36

29 Million Impressions, Only $71 Earned: How to Make Money from Traffic on X Platform?

marsbit12/26 06:36