BitcoinWorld List Of Top Agentic AI In 2025 In 2025, the leading agentic AI platforms are not a single product but a diverse set of frameworks and enterprise-focused solutions that enable developers and businesses to build autonomous systems. These tools are driving a shift from simple automation to AI agents that can plan, reason, and act on complex goals with minimal human intervention. Top Agentic AI Platforms for Enterprise Development For companies looking to integrate agentic AI into their existing systems, the following platforms offer robust, scalable, and secure solutions. Microsoft AutoGen: An open-source framework designed for building conversational, multi-agent systems. It stands out for its enterprise-grade reliability and ability to facilitate collaboration between specialized AI agents. AutoGen is designed for seamless integration within the Microsoft Azure ecosystem. IBM Watsonx Orchestrate: This platform automates complex enterprise workflows using natural language. It is built on IBM’s foundation models and focuses on providing an AI-powered solution for compliance-heavy industries such as banking and healthcare, with a strong emphasis on governance and audit trails. LangGraph: As an extension of the LangChain framework, LangGraph provides a graph-based approach for building sophisticated, multi-agent workflows. Its key features include advanced state management and fine-grained control over agent interactions, making it ideal for applications that require precise control and complex decision-making. Top Frameworks for Multi-Agent Collaboration For developers and teams focused on building custom, collaborative AI agents, these frameworks are leaders in their field. CrewAI: This popular open-source framework is known for its simplicity and quick deployment. It allows developers to build collaborative, role-based AI agents that can work together as a “crew” to accomplish tasks, mirroring a human team dynamic. CrewAI is often the top choice for rapid prototyping and projects requiring multi-agent teamwork. Adept AI: With its ACT-1 model, this platform enables AI agents to interact directly with software interfaces. Instead of relying on APIs, it observes human demonstrations to perform tasks across various applications like spreadsheets and CRMs, making it a powerful tool for automating workflows without requiring direct code access. Cognosys: This platform specializes in creating fully autonomous, browser-native AI agents. These agents can perform a wide range of web-based tasks by directly interacting with web interfaces, making them effective for automating online workflows. Key Trends in Agentic AI in 2025 The agentic AI landscape is rapidly evolving, driven by several key trends that are shaping how these technologies are being developed and deployed. Rise of Multi-Agent Systems: There is a significant shift toward using multiple, specialized AI agents that collaborate to solve complex problems, a strategy that is becoming mainstream in 2025. Integration with RPA: Agentic AI is adding cognitive intelligence to existing robotic process automation ( RPA ) platforms like UiPath , enabling more dynamic and adaptable workflows that can respond in real time. Focus on Governance and Ethics: As agent autonomy increases, so does the need for oversight. Leading agentic systems are prioritizing features like explainability, audit trails, and guardrails to ensure responsible and compliant deployment, particularly in regulated industries. The development of agentic AI marks a significant move toward a future where AI systems can perform complex, end-to-end tasks autonomously, fundamentally changing business operations and software development. This post List Of Top Agentic AI In 2025 first appeared on BitcoinWorld and is written by Keshav Aggarwal
Crypto billionaire Justin Sun has announced plans to invest $20 million in digital assets, splitting the funds between altcoins and World Liberty Financial (WLFI). According to the Tron founder, he intends to allocate $10 million toward unspecified altcoins, with the remaining amount directed to the newly launched WLFI. We believe U.S.-listed crypto stocks are an undervalued opportunity. I will market buy $10 million worth of ALTS and $10 million worth of WLFI. @worldlibertyfi @EricTrump @DonaldJTrumpJr @ZachWitkoff @zakfolkman @WatcherChase — H.E. Justin Sun 👨🚀 (Astronaut Version) (@justinsuntron) September 5, 2025 The timing of the move is notable, as WLFI remains under heavy scrutiny following recent controversies related to its high-profile launch. Notably, following the launch, Sun revealed that more than $75 million of his WLFI holdings had been frozen after the project blacklisted over 270 wallets. WLFI defended the decision, claiming the affected accounts were linked to phishing scams and compromised credentials. Critics, however, argue the move undermines the platform’s claims of decentralization. Sun’s defense Interestingly, Sun, who is an advisor to the project rejected accusations of market manipulation, explaining the transfers were merely “small deposit tests” and not sales. He called the freeze “unreasonable” and urged equal treatment for all investors. To this end, on-chain analysis from Nansen supported his stance, attributing WLFI’s sharp decline to large market-makers rather than Sun. “I call on the team to respect these principles, unlock my tokens, and let’s move forward together toward the success of World Liberty Financials,” he said. Launched in 2024 with strong backing from President Donald Trump and his family, WLFI has experienced extreme volatility since its debut. The token opened above $0.30 but has since lost nearly half its value, trading around $0.18–$0.19. Featured image via Shutterstock The post Crypto billionaire to splash $20 million on these cryptocurrencies appeared first on Finbold .
Strategy's pace of BTC bids slowed down in the second part of Q3
CryptoQuant CEO Ki Young Ju publicly backed Justin Sun regarding the disposition of unlocked tokens, arguing that token sales fall within normal liquidity management and that accountability should rest with
Cardano is experiencing a sentiment shift conducive to whale activity. Whales often act against the prevailing sentiment of retail investors. Continue Reading: Cardano Whales Seize the Moment as Sentiment Shifts The post Cardano Whales Seize the Moment as Sentiment Shifts appeared first on COINTURK NEWS .
BitcoinWorld What are the Best AI Checker OR AI Detector In 2025? In 2025, there is no single “best” AI detector OR AI Checker , as the ideal choice depends on your specific use case, required accuracy, and budget. The field is highly dynamic, with new models and detection tools being released constantly. The most trusted and highly-regarded AI detectors as of September 2025 are: GPTZero , Originality.ai , and Winston AI . These tools are consistently cited for their high accuracy and specialized features. Top AI Detectors and Their Best Use Cases GPTZero : This is widely considered the top choice for educators and academic institutions . It is praised for its high accuracy and low false-positive rate, meaning it is less likely to incorrectly flag human-written text as AI-generated. A key feature is its ability to provide sentence-by-sentence analysis , which gives users a clear breakdown of where AI may have been used. In summer 2025, it released a new model trained on advanced language models like GPT-4.1 and Gemini 2.5 , further improving its ability to detect the latest AI outputs. Originality.ai : Best for content marketers, SEO professionals, and digital publishers . It’s specifically designed to detect AI content that has been edited or “humanized” to evade detection. The tool offers a suite of features including plagiarism checks, readability scores, and a website scanner to check an entire site for AI content. It updated its model in June 2025 to improve its accuracy on the latest AI models and humanizer tools, boasting a 99%+ accuracy rate and a low false-positive rate of 0.5% . Winston AI : A strong contender for professional teams and educators who need robust integrations. Winston AI claims an impressive 99.98% accuracy rate for detecting content from models like ChatGPT and Google Gemini . It also offers Optical Character Recognition (OCR) technology to scan text from images and documents, as well as a plagiarism checker and readability score. It integrates with platforms like Google Classroom and WordPress , streamlining workflows for its users. Copyleaks : Geared toward enterprises and academic institutions . This tool provides a comprehensive solution with multi-language support and the ability to detect paraphrased AI content. Its robust API and enterprise-grade features make it a go-to for large-scale content integrity management. Key Considerations and Limitations It is crucial to understand that no AI detector is 100% accurate . These tools work based on probabilities and can sometimes produce false positives (flagging human text as AI) or false negatives (failing to detect AI text). The accuracy of a detector can also vary based on the text’s length, topic, and writing style. The best practice is to use AI detectors as a supplementary tool and always apply your own human judgment, especially in high-stakes situations like academic submissions or professional publishing. Always cross-check results with multiple tools to get a more reliable assessment. This post What are the Best AI Checker OR AI Detector In 2025? first appeared on BitcoinWorld and is written by Keshav Aggarwal
A newly disclosed vulnerability in an AI-powered coding tool favored by Coinbase has raised alarms across the cybersecurity and crypto communities. Key Takeaways: A new AI coding exploit can silently spread malware across entire codebases using hidden markdown instructions. Coinbase’s preferred tool, Cursor, is among several AI assistants shown to be vulnerable. CEO Brian Armstrong’s aggressive AI rollout has sparked backlash from developers and security experts. According to cybersecurity firm HiddenLayer , the flaw allows attackers to stealthily inject malicious code that can spread across an entire organization’s codebase with minimal user interaction. The attack, dubbed the “CopyPasta License Attack,” exploits how AI tools interpret common developer files like LICENSE.txt and README.md. AI Code Assistants Exposed to Malware via Hidden Markdown By embedding harmful instructions in markdown comments, often hidden from rendered views, attackers can manipulate AI code assistants into propagating malware without developers realizing. “Injected code could stage a backdoor, exfiltrate sensitive data, or manipulate critical systems, all while remaining buried deep inside files,” HiddenLayer said in a Thursday report. The firm demonstrated the exploit using Cursor, the AI coding assistant reportedly adopted by every Coinbase engineer as of February. HiddenLayer said similar vulnerabilities were present in other tools including Windsurf, Kiro, and Aider. The concern comes just a day after Coinbase CEO Brian Armstrong claimed that AI now writes up to 40% of the company’s code, a figure he aims to push to 50% next month. The announcement drew criticism from cybersecurity experts, developers, and crypto insiders who warned of the risks tied to mandated AI adoption. “This is a giant red flag for any security-sensitive business,” said Larry Lyu, founder of decentralized exchange Dango. Carnegie Mellon professor Jonathan Aldrich called the policy “insane,” adding that he would not trust Coinbase with his funds after hearing it. ~40% of daily code written at Coinbase is AI-generated. I want to get it to >50% by October. Obviously it needs to be reviewed and understood, and not all areas of the business can use AI-generated code. But we should be using it responsibly as much as we possibly can. pic.twitter.com/Nmnsdxgosp — Brian Armstrong (@brian_armstrong) September 3, 2025 Delphi Consulting’s Ashwath Balakrishnan called the push “performative and vague,” while Bitcoiner Alex Pilař stressed that Coinbase, as a major crypto custodian, should prioritize security over AI adoption metrics. Armstrong has defended the move , saying AI-generated code must still be reviewed and is not used in all parts of the business. In a blog post, Coinbase’s engineering team clarified that AI use is more common in front-end and less-sensitive systems, while “system-critical exchange systems” remain more cautiously managed. However, Armstrong admitted during a podcast with Stripe co-founder John Collison that he had enforced AI onboarding at Coinbase, going as far as firing engineers who refused to use the tools. “I went rogue,” Armstrong said. “They got fired.” TIME Names Coinbase a 2025 ‘Disruptor’ Among Most Influential Companies As reported, TIME has recognized Coinbase as one of 2025’s 100 Most Influential Companies , labeling the crypto exchange a “disruptor” for its significant role in shaping US digital asset policies and markets. TIME noted the exchange as a key driver behind the industry’s policy efforts and predicted Coinbase could become the central hub for crypto trading in the US. Beyond the US, Coinbase is broadening its reach in Europe, securing a license under the EU’s MiCA regulatory framework through Luxembourg’s financial regulator. The post AI Coding Tool Used by Coinbase Exposes Firms to Self-Spreading Malware appeared first on Cryptonews .
On September 6, COINOTAG cited research from Farside Investors showing the US Ether ETF experienced a substantial net outflow of $7.876 billion this week, contributing to a broader trend of
Reports say Webus International made a deal with Air China that could put its Wetour travel service in front of more than 60 million PhoenixMiles loyalty members. The plan may add XRP payments to Wetour’s overseas platform. But it’s not automatic. The change depends on future business steps and getting regulatory approval. Access For 60 Million Members Under the deal, Wetour will focus first on premium chauffeur and airport transfer services. PhoenixMiles members could get access to Wetour’s platform, which now shows XRP as a payment option and also accepts Ripple’s RLUSD stablecoin. Webus has also moved to use more altcoins. In June it filed with the SEC for a $300 million treasury reserve and said it plans to use the XRP Ledger for cross-border payments. XRP: Real Use & Limits Fans say the XRPL settles transactions in three to five seconds and fees are under one cent. Those features are why travel companies and loyalty programs might try the tech for vouchers, token rewards, and fast payments. But XRP payment support doesn’t always mean people will use the token for daily purchases. Attorney Bill Morgan notes the cautious wording, but he thinks it shows real progress. He said, “For me, it shows adoption of XRP.” Big Number Vs. Actual Use Case Sixty million is a big headline. It gets attention. But access is not the same as active use. Many loyalty programs have members who rarely travel or never use partner services. Wetour’s focus on higher-end transport and promo coupons means early use might only be by some members, not all 60 million. That can still matter. Pilot programs usually start small and grow if people use them. Rules & Business Checks The announcement says the integration depends on future business steps and regulatory sign-off. That matters now because payments and loyalty schemes touch local rules, cross-border compliance, and payment systems. A wide rollout will need those issues cleared, and it could take time. This is a notable step for XRP in travel and loyalty programs, but it’s early and conditional. Webus’ earlier moves — the planned $300 million treasury and XRPL plans — make the idea more believable than a one-time press claim. Featured image from Meta, chart from TradingView
On-chain data shows the Bitcoin spot exchange-traded funds (ETFs) have seen three waves of major inflows from the veteran hands in this cycle so far. Bitcoin Coin Days Destroyed Shot Up Alongside Earlier ETF Net Inflows As explained by CryptoQuant author Maartunn in a new post on X, Bitcoin has been observing major reshuffles related to old tokens and the spot ETFs. The spot ETFs refer to investment vehicles that trade on traditional platforms and allow investors to gain exposure to an underlying asset like BTC without having to directly own the asset. The BTC spot ETFs launched in the US in January 2024. Since then, the funds have generally enjoyed growth, with a few periods involving a particularly sharp burst of inflows. The main attraction of the ETFs is that investors unfamiliar with the cryptocurrency world can invest into BTC in a form that’s convenient to them. Related Reading: Safe Haven Split: Bitcoin-Gold Correlation Turns Negative For First Time In 6 Months When a trader invests into such a vehicle, the fund buys an equivalent amount of the cryptocurrency on the client’s behalf. This reflects as an on-chain movement into the wallets associated with the ETF. Below is the chart shared by Maartunn that shows the trend in the 30-day Bitcoin spot ETF netflow since the start of 2024. As displayed in the graph, the Bitcoin spot ETF netflow has seen a few phases of extremely positive values. These naturally correspond to a high amount of demand for the ETFs. Interestingly, there is a pattern common among these large waves of inflows. From the chart, it’s visible that the Coin Days Destroyed (CDD) gave distribution signals alongside the netflow spikes. The CDD is an on-chain indicator that measures the total number of coin days that are being “destroyed” in transactions across the BTC network. A coin day is a quantity that one BTC accumulates after staying dormant on the blockchain for one day. When a token dormant for some number days is moved, its coin days counter returns back to zero. The coin days that it had previously been carrying are said to be destroyed. Generally, spikes in this metric correspond to activity from the diamond hands of the network. These HODLers tend to accumulate a massive amount of coin days with their patience, so when they finally break their silence, large-scale destruction of coin days takes places. The three major Bitcoin ETF net inflow waves of Summer 2024, Fall 2024, and Summer 2025 all accompanied a distribution signal from the CDD, which suggests a rotation of coins happened from the veteran hands to new demand coming through these vehicles. Related Reading: Dogecoin Signal That Nailed The Top Says It’s Time To Buy Since the latest such wave, the ETF netflow has calmed down to the neutral level, meaning demand has gone cold. “ETF inflows are key,” notes Maartunn. “Without strong new demand, selling pressure from new holders could increase.” BTC Price At the time of writing, Bitcoin is trading around $110,500, up 2% over the past week. Featured image from Dall-E, CryptoQuant.com, chart from TradingView.com