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9 Jun 2026, 17:50

Anthropic brings its most powerful AI model to the public — with hard safety limits

BitcoinWorld Anthropic brings its most powerful AI model to the public — with hard safety limits Anthropic is making its most advanced AI model accessible to the general public for the first time, but with significant safety restrictions. On Tuesday, the company launched Claude Fable 5, a publicly available version of its Mythos model, which had previously been limited to a small number of vetted partners due to cybersecurity concerns. What Fable 5 can — and cannot — do Fable 5 is designed to excel at software engineering, complex knowledge work, and vision-based tasks. In third-party testing, analytics company Hex reported that Fable was the first model to achieve a 90% score on its core analytics benchmark for complex, long-running analytical tasks. AI-powered workspace platform Genspark noted that Fable outperformed every other model in its evaluations, particularly on UI design and game coding. However, the model comes with hard safety limits. In high-risk areas such as cybersecurity, biology, chemistry, and model distillation, Fable 5 blocks responses and falls back to Anthropic’s earlier Claude Opus 4.8. The company says these deferrals are rare, with early data showing at least 95% of Fable sessions running entirely on the model’s own responses. A cautious rollout after limited preview Mythos was initially launched as a preview in April but was restricted to a handful of partners due to concerns about misuse. Last week, Anthropic expanded access to hundreds of organizations across 15 countries, focusing on those managing critical infrastructure. Now, a version of that technology is available to anyone through Anthropic’s Claude API and consumption-based Enterprise plans. For subscription users, access will roll out in stages. Through June 22, Fable 5 is included in Pro, Max, Team, and seat-based Enterprise plans at no extra cost. On June 23, Anthropic will remove Fable 5 from those plans, requiring usage credits going forward, with plans to restore it as a standard subscription feature as soon as possible. Data retention as a safety measure With the launch of Fable 5 and Mythos 5, Anthropic is requiring a 30-day retention on all traffic, even if enterprises previously had zero-retention agreements. The company said it will not use the data for training, only to “defend against complex and novel attacks, including new jailbreaks” and “identify and reduce false positives.” This policy could set an industry precedent in which access to increasingly powerful models comes with mandatory data retention framed as a safety measure. Anthropic says it stress-tested its classifiers with jailbreak attempts before releasing Fable 5. Internally, an external bug bounty produced no universal jailbreaks in over 1,000 hours of testing. The company also worked with external red-teaming organizations, which also failed to find universal jailbreaks. However, Anthropic acknowledged that novel attacks may still be possible. Why this matters for the AI industry Fable’s launch comes as Anthropic prepares to enter the public markets, alongside OpenAI and Elon Musk’s SpaceX. It also follows the AI firm’s public plea urging major global AI labs to establish a coordinated “brake pedal” on frontier AI development. Anthropic has warned that systems are advancing so rapidly that they may soon achieve recursive self-improvement (RSI), autonomously improving themselves without human intervention. Pricing for both Fable 5 and Mythos 5 is set at $10 per million input tokens and $50 per million output tokens — double the price of Opus 4.8. That cost alone may serve as a deterrent for widespread use, especially as many enterprises grow critical of AI costs after seeing bills climb or blowing through yearly AI budgets early. Advanced models like Opus 4.8 can exacerbate those issues, with reasoning skills that can split a single request into multiple tasks. Still, some organizations see the value. Rakuten, the shopping rewards platform, noted in a statement: “At the highest effort, Fable reflects on and validates its own work. For us, that’s what makes highly autonomous operations possible — the extra thinking pays for itself.” Conclusion Anthropic’s launch of Claude Fable 5 represents a significant step in bringing frontier AI capabilities to a broader audience, but it also underscores the growing tension between innovation and safety. With mandatory data retention policies, hard safety limits, and high pricing, the company is signaling that powerful AI access will come with strings attached — a model that may shape how the industry approaches responsible deployment in the years ahead. FAQs Q1: What is the difference between Claude Fable 5 and Mythos 5? Mythos 5 is Anthropic’s most advanced AI model, previously limited to approved partners. Claude Fable 5 is a publicly available version of Mythos 5, with additional safety guardrails that block responses in high-risk areas like cybersecurity and biology. Q2: Will my data be used for training if I use Fable 5? No. Anthropic requires a 30-day retention on all traffic but says it will not use the data for training. The retention is only for defending against novel attacks and reducing false positives. Q3: How much does Fable 5 cost? Pricing is $10 per million input tokens and $50 per million output tokens — double the cost of Anthropic’s previous model, Opus 4.8. Through June 22, it is included in subscription plans at no extra cost. This post Anthropic brings its most powerful AI model to the public — with hard safety limits first appeared on BitcoinWorld .

9 Jun 2026, 15:45

Ripple Joins BlackRock and JPMorgan in DTCC’s July 2026 Tokenization Rollout

Ripple Lands a Major Role in DTCC’s 2026 Tokenization Push With BlackRock and JPMorgan Ripple has secured a role in one of the most closely watched institutional blockchain initiatives to date. Through Ripple Prime, the company has been included among more than 50 major financial institutions and technology providers participating in the Depository Trust & Clearing Corporation (DTCC) tokenization program , which is expected to move into live production in July 2026. The initiative brings together leading global players in finance, including BlackRock, JPMorgan Chase, Goldman Sachs, Circle, and Ondo Finance. Its core objective is to modernize capital markets by shifting traditional financial instruments onto tokenized infrastructure, improving settlement efficiency, data transparency, and interoperability across systems. The rollout timeline reflects the scale of the project. DTCC is set to transition into live production in July 2026, where tokenized assets will begin operating under real market conditions, using actual capital flows and institutional workflows. A broader expansion is expected by October 2026, extending tokenized record-keeping and settlement capabilities across a wider participant base. Ripple Takes a Seat at the Table as DTCC Advances Tokenized Finance Ripple Prime’s involvement goes beyond participation alone. The company is contributing to the testing and refinement of operational standards and infrastructure designed to support institutional-grade tokenized finance. Working alongside global banks, asset managers, and infrastructure providers, Ripple is helping shape how large-scale tokenization could function in practice. There has also been some confusion around Ripple’s role compared to Stellar within the broader DTCC strategy. While both are associated with elements of the initiative, their functions differ. Ripple Prime is focused on institutional infrastructure, helping define frameworks, workflows, and requirements for regulated financial environments. Stellar is positioned as a public blockchain network that may be integrated into a multi-chain approach, potentially supporting issuance, transfer, and settlement of tokenized assets on-chain. The distinction highlights different layers of the system being built: Ripple is contributing to institutional architecture and standards, while Stellar represents one of the public ledger environments that could support asset movement. For Ripple, the development marks a continued shift deeper into traditional financial infrastructure, placing the company alongside some of the most established players in global markets at a time when tokenization is moving from concept to production. At the same time, Ripple’s broader ecosystem continues to evolve, with developments around RLUSD and cross-chain integrations such as Wormhole expanding potential liquidity pathways between institutional systems and decentralized finance networks.

9 Jun 2026, 15:10

Elizabeth Warren Accuses CFTC of Lax Crypto Oversight, Pro-Trump Bias in Scathing Letter

BitcoinWorld Elizabeth Warren Accuses CFTC of Lax Crypto Oversight, Pro-Trump Bias in Scathing Letter U.S. Senator Elizabeth Warren (D-Mass.) has escalated her scrutiny of the Commodity Futures Trading Commission (CFTC), sending a sharply worded letter to Chairman Michael Selig that accuses the agency of failing to adequately oversee prediction markets and cryptocurrency firms. The letter, released on Tuesday, alleges that the CFTC has become overly deferential to the companies it regulates and that its enforcement capabilities have significantly weakened since the Trump administration took office. Warren’s allegations: A pattern of regulatory capture In her letter, Warren points to data showing that the total value of major prediction markets like Kalshi and Polymarket has surged to approximately $60 billion as of early 2026. During the same period, she claims, the CFTC’s staffing dedicated to overseeing these markets has been reduced by about 25%. Enforcement actions have also dropped sharply, from 58 in fiscal year 2024 to just 11 since President Trump’s inauguration, according to the senator’s office. Warren argues that these figures suggest a deliberate weakening of oversight, not merely resource constraints. She specifically alleges that the CFTC has made favorable decisions or dropped investigations into companies with ties to the president’s family and political allies. Among the entities cited are Donald Trump Jr.’s investment firm and Trump Media & Technology Group, the parent company of Truth Social. Context: The broader regulatory battle The letter arrives at a critical juncture for crypto regulation in the United States. Congress is currently considering a bill that would transfer significant regulatory authority over digital assets from the Securities and Exchange Commission (SEC) to the CFTC. Warren argues that the CFTC, in its current state, is unprepared to handle such expanded responsibilities. Critics of the bill have echoed similar concerns, warning that the CFTC lacks the resources and expertise to police a multi-trillion-dollar market. Supporters, however, argue that the agency’s existing commodity framework is a better fit for most cryptocurrencies than the SEC’s securities-based approach. Why this matters to investors and the industry For market participants, the outcome of this regulatory tug-of-war has direct implications. If the CFTC gains primary oversight of crypto, the rules governing exchanges, custody, and trading could shift significantly. Warren’s allegations of political bias and weakened enforcement raise questions about whether the agency can be trusted to act independently, regardless of which party holds power. The prediction market sector, in particular, is at a crossroads. Platforms like Polymarket and Kalshi have seen explosive growth, driven by demand for event-based contracts tied to elections, sports, and economic indicators. Without robust oversight, critics warn, these markets could become vehicles for manipulation or fraud. Conclusion Senator Warren’s letter represents the latest front in an ongoing battle over the direction of U.S. crypto regulation. While the CFTC has yet to issue a formal response, the agency is now under pressure to provide the records Warren has requested. The broader question — whether the CFTC can be reformed into a credible crypto watchdog — remains unresolved, with significant consequences for the industry’s future. FAQs Q1: What specific data did Senator Warren cite in her letter? She cited a surge in prediction market value to $60 billion, a 25% reduction in CFTC staffing for oversight, and a drop in enforcement actions from 58 in FY2024 to 11 under the Trump administration. Q2: Which companies are allegedly linked to favorable CFTC treatment? Warren’s letter mentions Donald Trump Jr.’s investment firm and Trump Media & Technology Group, among others, alleging that investigations were dropped or decisions were made in their favor. Q3: What is the significance of the proposed crypto regulatory bill? The bill would transfer primary oversight of digital assets from the SEC to the CFTC. Warren argues the CFTC is currently unprepared for this role, citing reduced staffing and enforcement activity. This post Elizabeth Warren Accuses CFTC of Lax Crypto Oversight, Pro-Trump Bias in Scathing Letter first appeared on BitcoinWorld .

9 Jun 2026, 13:55

Lovable surpasses $500M annualized revenue, driven by 1 million new projects per week

BitcoinWorld Lovable surpasses $500M annualized revenue, driven by 1 million new projects per week Lovable, the European startup at the forefront of the ‘vibe coding’ movement, has informed Bitcoin World that it has surpassed $500 million in annualized revenue run rate. The company, which last disclosed its revenue in February at $400 million, is adding approximately 1 million new projects each week, with over 50 million total projects built on its platform to date. Founded in late 2023, Lovable has not yet reached its third anniversary, making its growth trajectory particularly notable in the competitive AI development tools market. Revenue trajectory and user base expansion In August 2024, Lovable projected it could hit $1 billion in annualized revenue within 12 months. While the company is not on track to double that figure by summer 2025, the current $500 million milestone still represents a dramatic acceleration. The company’s internal surveys indicate that its users are predominantly non-technical—founders, designers, and salespeople—who are building not just simple websites but also e-commerce storefronts, internal CRMs, inventory systems, and HR platforms. This shift suggests that AI-powered coding platforms are increasingly being used for production-grade software, not just prototypes. Implications for the SaaS industry Lovable’s growth fuels the ongoing debate about whether ‘vibe coding’ platforms pose a genuine threat to traditional SaaS vendors. The logic is straightforward: why pay for expensive annual contracts when a non-technical founder can generate functional software through natural language prompts? Lovable’s survey data provides some of the first concrete evidence that this substitution is occurring at scale. However, the critical question remains unresolved: can vibe-coded software be maintained over time? The maintenance challenge Software is a living system. Even well-architected code depends on a constantly shifting foundation of libraries, APIs, and infrastructure. Updates to dependencies, security patches, and third-party service changes can break applications that were working perfectly at launch. This is a primary reason many organizations prefer to buy software rather than build it—they outsource the ongoing maintenance burden. Lovable and similar platforms have yet to provide transparent data on project abandonment rates. If those rates remain low as the platform matures, it would signal a fundamental shift in how software is created and consumed. Context and industry relevance Lovable’s announcement comes amid a broader wave of AI-assisted development tools, including GitHub Copilot, Cursor, and Replit. The key differentiator for Lovable is its focus on enabling non-developers to build complete, monetizable applications. This positions it not just as a coding assistant but as a potential replacement for entire categories of SaaS products. The company’s trajectory will be closely watched by venture capitalists, enterprise buyers, and incumbent software vendors alike. Conclusion Lovable’s $500 million annualized revenue milestone underscores the rapid adoption of AI-driven development tools by non-technical users. While the company’s growth is impressive, the long-term viability of vibe-coded software will depend on how well these applications withstand the test of ongoing maintenance. For now, Lovable is a bellwether for the so-called ‘SaaSpocalypse,’ but the real proof will come when its platform is old enough to measure project durability and abandonment rates transparently. FAQs Q1: What is ‘vibe coding’? Vibe coding refers to using AI-powered tools to generate software applications through natural language prompts, often by users with limited or no traditional programming skills. Lovable is one of the leading platforms in this space. Q2: How does Lovable make money? Lovable operates on a subscription model, charging users for access to its AI coding platform. The $500 million annualized revenue figure reflects the company’s current run rate based on recurring subscriptions and usage fees. Q3: Why is software maintenance a concern for vibe-coded apps? Software relies on external dependencies—libraries, APIs, and infrastructure—that are frequently updated. If a vibe-coded app is not maintained by a developer, it can break when those dependencies change, leading to abandonment. Long-term viability depends on whether users can keep their apps running without deep technical expertise. This post Lovable surpasses $500M annualized revenue, driven by 1 million new projects per week first appeared on BitcoinWorld .

9 Jun 2026, 12:03

OpenAI IPO News: OpenAI Files for IPO, 48% Chance to Close Above $1.5T

OpenAI has confidentially filed for an initial public offering with the U.S. Securities and Exchange Commission, setting up a potential public market debut that could become one of the largest technology listings on record. The ChatGPT maker confirmed that it recently submitted a confidential S-1 filing, allowing regulators to review its financial information before it becomes public. OpenAI said it has not decided on timing and may remain private for a while, but the filing gives the company the option to list sooner if that becomes the preferred path. Source: Polymarket The company was most recently valued at $852 billion post-money. Following the filing, there is a 48% chance that OpenAI could close above $1.5 trillion in market capitalization on its first day of trading, according to Polymarket. OpenAI Begins IPO Process With Confidential Filing OpenAI’s confidential filing marks a formal step toward a potential Wall Street debut. The process allows the company to prepare for public listing while keeping revenue, costs, margins, and other financial details private until closer to the offering. The company said it expected the filing to become public through leaks, so it chose to announce the submission. OpenAI added that some business priorities may be easier to handle as a private company, which means no fixed IPO date has been set. OpenAI has been working with banks, including Goldman Sachs and Morgan Stanley, on the filing process. The company has also been preparing a tender offer that would allow employees to sell shares at its latest $852 billion valuation, offering liquidity before any public listing. Chief Financial Officer Sarah Friar previously said it is “good hygiene” for a company of OpenAI’s size to operate with public-company discipline, though she did not provide a specific IPO timeline. The company has been viewed as a possible candidate for a listing as early as the fourth quarter of 2026, depending on market conditions and regulatory review. ChatGPT Scale and AI Spending Face Investor Review OpenAI became widely known after launching ChatGPT in 2022. The product now supports more than 900 million weekly active users, making it one of the largest consumer AI platforms in the world. The company has also been expanding its enterprise business and software development tools. Codex, OpenAI’s coding assistant product, has become a major focus as the company competes with Anthropic’s Claude Code and other AI tools used by developers. Chief Executive Officer Sam Altman said OpenAI is entering what he called its “third phase.” He described the first phase as research toward artificial general intelligence and the second phase as becoming a product company. The new phase, he said, centers on making advanced AI more abundant, affordable, safe, useful, and accessible to people and organizations. A public listing would place OpenAI’s finances under closer market review. The company has raised more than $180 billion in funding and continues to spend heavily on compute, chips, model training, and data center infrastructure. OpenAI has also been focusing resources internally by shutting down some smaller projects, including the short-form video app Sora, while putting more investment into enterprise products and Codex. Investors are expected to focus on revenue growth, infrastructure costs, customer retention, and the path toward stronger operating leverage. AI IPO Race Expands With Anthropic and SpaceX OpenAI’s filing comes one week after Anthropic confidentially filed for its own IPO. Anthropic recently closed a funding round at a $965 billion valuation, above OpenAI’s latest reported valuation of $852 billion. SpaceX is also moving toward a public listing and has already started its investor roadshow. The company’s IPO order books are expected to close on Wednesday, with reported orders of $150 billion, representing about two times oversubscription for the listing. Together, OpenAI, Anthropic, and SpaceX could create one of the largest IPO waves in market history. All three companies are tied to artificial intelligence either directly or through infrastructure and related technology competition. Concurrently, traders are also watching possible OpenAI ticker symbols. In market polling cited alongside the IPO discussion, $OAI received 62% support, while $OPAI received 28%. Source: Polymarket The IPO filing also follows the end of a legal fight between Elon Musk and OpenAI. Musk had sued OpenAI and Sam Altman, alleging they moved away from the company’s original nonprofit mission. As we reported , an advisory jury found that Musk waited too long to bring the claims, and the federal judge adopted the verdict, handing OpenAI a legal win before its IPO process advanced. According to CoinCodex, OpenAI Pre-IPO stock forecast show a potential price target of $585.03 across the next 5 days, 1 month, and 3 months. The longer-term outlook for 2026 to 2030 remains dependent on OpenAI’s final IPO valuation, share structure, revenue growth, and investor demand.

9 Jun 2026, 09:30

Apple Sheds $230 Billion From Intraday Peak After Long-Awaited Siri AI Reveal Disappoints

Apple shares swung nearly 5% from their intraday high, erasing about $230 billion in market value, after the company’s long-awaited Siri AI overhaul drew a muted reaction from investors. A ‘Sell the News’ Moment for Apple’s AI Reset Apple used its Worldwide Developers Conference (WWDC) on June 8 to unveil its biggest artificial intelligence (AI)