Anthropic today launched two new AI models — Claude Fable 5 and Claude Mythos 5 — marking the company’s first broad release of the powerful “Mythos-class” AI capabilities it previously made available only to participating organizations in its restricted cybersecurity program, Project Glasswing, which it announced two months ago.
The company says Fable 5, which is the version most users and developers will get starting today, exceeds every Claude model it has previously made generally available — featuring stronger performance across software engineering, knowledge work, vision, scientific research and long-running tasks.
It smashes the existing benchmarks and comes atop on nearly all of them, though the prior Claude Mythos Preview version of the model still takes the top spots on computer use and multidisciplinary reasoning (see benchmark chart below and here).
Claude Fable 5 and Mythos 5 benchmark comparison chart. Credit: Anthropic
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The new Claude Mythos 5, by contrast, is less restricted in its capabilities, but more restricted in its availability. It is an upgraded version of the prior, similarly capable but limited release Mythos Preview model. As such, it has certain safeguards lifted — but it’s only officially accessible to Anthropic-approved users, including Anthropic’s cybersecurity partners in its Project Glasswing effort, and select biology researchers.
The key difference is that the general purpose Fable 5 wraps the same underlying Mythos-class capability in new safeguards. Anthropic says requests involving certain high-risk areas — including cybersecurity, biology and chemistry, and model distillation — are automatically routed to Claude Opus 4.8, Anthropic’s previously flagship general model, instead, with users notified when that happens. That is not the case on Mythos 5.
The company says more than 95% of Fable 5 sessions run entirely on Fable 5’s own responses, with no fallback, and that internal and external red-teaming efforts found no “universal jailbreaks” after more than 1,000 hours of testing.
Anthropic says Fable 5 is available to the general public today through its website, apps, and API, but that Mythos 5 will initially only be made available to users who already have access to the older Claude Mythos Preview.
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Screenshot of Claude Fable 5 and Mythos 5 API information on Anthropic’s website.
Pricing, access and a tricky rollout
Anthropic is pricing both Fable 5 and Mythos 5 at $10 per million input tokens and $50 per million output tokens. The company says that is less than half the price of Claude Mythos Preview, but still ranks as the most expensive of major AI models available globally.
For developers, Fable 5 is available through the Claude API as claude-fable-5. Anthropic says Fable 5 is fully available today on the Claude API and on consumption-based Enterprise plans.
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For subscription users, the rollout is more complicated. Anthropic says Fable 5 will be included on Pro, Max, Team and seat-based Enterprise plans at no extra cost from today through June 22.
On June 23, the company plans to remove Fable 5 from those plans, after which using it will require usage credits. Anthropic says it aims to restore Fable 5 as a standard part of subscription plans as quickly as possible.
The difference between Fable 5 and Mythos 5
Anthropic is not presenting Fable 5 and Mythos 5 as two separate models in the usual “small versus large” sense. Instead, they appear to share the same base capability level. The difference is access control — that is, how easily it will be for users to get their hands on the models, and the guardrails embedded in each.
As previously mentioned Fable 5 includes a new safeguard layer that detects certain high-risk requests — including cybersecurity, biology and chemistry, and attempts to distill the model’s capabilities into other systems — and routes those requests to Claude Opus 4.8.
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Mythos 5 lifts some of those restrictions for trusted users working in approved domains.
In practical terms, Mythos 5 is more powerful for sensitive cyber and biology work because it can answer in areas where Fable 5 falls back.
For most ordinary enterprise and developer tasks, however, Anthropic says Fable 5 performs effectively the same as Mythos 5.
The launch also signals how Anthropic plans to bring frontier models with dangerous dual-use capabilities into the market: not by releasing all capabilities to everyone, and not by simply refusing risky questions, but by routing some requests to a less capable model while keeping the stronger model available for the majority of everyday work.
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A major improvement in autonomous coding
For enterprise buyers, the most immediate use case is likely software engineering. Anthropic says Fable 5 can work unattended for longer and with more independence than previous Claude models, which is exactly the capability enterprises need if they want AI agents to do more than autocomplete code or answer developer questions.
On SWE-bench Pro, which measures a model’s ability to complete difficult software engineering tasks, Anthropic says Fable 5 and Mythos 5 reach 80.3%, vastly outperforming OpenAI’s latest and greatest general model GPT-5.5, which scored 58.6%.
On Cognition’s FrontierCode Diamond benchmark, which tests high-quality, maintainable agentic coding, the models score 29.3%, compared with 13.4% for Claude Opus 4.8 and 5.7% for GPT-5.5, according to the benchmark table included in Anthropic’s materials.
Anthropic also says Fable 5 scores highest among frontier models on FrontierCode even at medium reasoning effort, suggesting the model may deliver stronger coding results without always needing maximum compute.
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The most striking customer example comes from Stripe. Anthropic says Stripe tested Fable 5 in a 50-million-line Ruby codebase and found that the model completed a codebase-wide migration in one day that otherwise would have taken a team more than two months by hand. Stripe said, “Fable 5 compresses months of engineering into days. In our 50-million-line Ruby codebase, it did in a day what would’ve taken us more than two months by hand.”
Other early users describe the model as especially useful for long-horizon development tasks. Cursor said, “Fable 5 is the state of the art model on CursorBench. It’s opened up a class of long-horizon problems that were out of reach for earlier models.” Replit said Fable 5 is the highest-performing model it has tested on ViBench, its end-to-end “vibe-coding” benchmark, and that it builds apps in less time with fewer tokens. Figma said Fable 5 is “a clear step forward on agentic coding and prototyping.”
This is the enterprise shift Anthropic is trying to sell: AI coding systems that can take on larger units of work, not just individual tickets. That could include codebase migrations, app prototyping, pull request review, test generation, debugging across unfamiliar tools, user interface design and multi-step internal software projects.
Base44 said, “Fable 5 is much deeper and better at one-shotting full apps, and its tool calling is excellent.” Genspark said, “Fable 5 came out #1 on our evals, winning head-to-head against every model we tested. It was significantly stronger on the hardest tasks in the set — UI design and game coding.” Rakuten said, “At the highest effort, Fable 5 reflects on and validates its own work. For us, that’s what makes highly autonomous operations possible — the extra thinking pays for itself.”
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For CTOs and engineering leaders, that suggests the model’s value may come less from raw code generation and more from sustained execution: understanding an intent, planning steps, calling tools, checking its own work and continuing through a task without constant human steering.
Knowledge work, finance, legal and operations
Anthropic is also positioning Fable 5 as a stronger model for enterprise knowledge work. On GDPval-AA, Anthropic reports a score of 1932 for Fable 5 and Mythos 5, compared with 1890 for Claude Opus 4.8, 1769 for GPT-5.5 and 1314 for Gemini 3.1 Pro.
On GDPpdf, a benchmark focused on visual document reasoning, Fable 5 and Mythos 5 score 29.8% without tools, compared with 22.5% for Opus 4.8, 24.9% for GPT-5.5 and 16.7% for Gemini 3.1 Pro.
That matters for enterprises because much of corporate work still lives in messy documents: PDFs, spreadsheets, charts, reports, contracts, filings, slide decks and screenshots. Anthropic says Fable 5 shows gains in document-based reasoning, chart and table interpretation and complex problem solving.
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Hex said, “Fable 5 is the first to break 90% on our core analytics benchmark of complex, long-running analytical tasks — a 10-point jump over Opus. On the hardest questions, it shows strong judgment and attention to nuance.” Hebbia said Fable 5 was the highest-scoring model on its Finance Benchmark for senior-level reasoning, with double-digit gains in document reasoning, chart and table interpretation, and problem solving.
The finance examples are notable because they point to AI agents moving beyond summarization into higher-stakes analytical workflows.
IMC said Fable 5 “aced our trading-analysis evaluations nearly across the board: factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis.” Optiver said the model was stronger than Opus 4.8 on its trading benchmark and “remarkably consistent,” scoring identically across repeated runs. Balyasny Asset Management said Fable 5 was the strongest finance-first model it had tested.
Legal and operations teams may also see immediate impact. Crosby Legal said, “Fable 5 feels materially different. In blind review, our lawyers found its redlines matched or beat our current model every time.” Notion said the model can take work “you’d chip away at all afternoon” and turn messy notes into a functioning project plan. Zapier said Fable 5 is the new leader on AutomationBench and is more autonomous than Opus 4.8: “Where Opus stops to ask, Fable 5 keeps looking.”
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For enterprise software vendors, that points toward more capable embedded agents in workflow products: agents that can review a contract, update a project plan, assemble a spreadsheet, inspect a chart, file a ticket, run a query, call an internal API and keep going until the work is complete.
Vision and interface understanding
Anthropic says Fable 5 is also its strongest vision model. In its launch materials, the company says the model can extract precise numbers from detailed scientific figures and complete vision-based tasks such as rebuilding a web app’s source code from screenshots alone.
That has immediate implications for enterprise automation. Many business processes still depend on visual interfaces that are not cleanly exposed through APIs: dashboards, PDFs, forms, legacy apps, screenshots, scans and image-heavy reports. A stronger vision model could help agents operate across those environments with less custom integration work.
Anthropic also says Fable 5 needs less scaffolding than previous Claude models. As an example, the company says earlier Claude models struggled to play Pokémon FireRed even with extra tools, while Fable 5 impressively beat the game using a minimal vision-only harness. Anthropic posted a fast forwarded video of its playthrough to YouTube and in its blog post:
The point is not gaming itself, but the broader agentic skill: reading a visual environment, remembering progress, deciding what to do next and executing over a long horizon.
In another internal test, Anthropic says it had the model play the deck-building game Slay the Spire with access to persistent file-based memory. The company says persistent memory improved Fable 5’s performance three times more than it improved Opus 4.8’s, and that Fable reached the game’s final act three times more often. For enterprise users, this suggests Fable 5 may make better use of notes, logs and stored context during multi-step work.
That could matter for internal agents that operate over days or weeks: sales operations agents that track account research, engineering agents that manage migrations, finance agents that update models, or support agents that remember what they tried across many turns.
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From restricted cyber model to general-purpose enterprise AI
The announcement follows Anthropic’s April 2025 rollout of Claude Mythos Preview through Project Glasswing, a restricted program for cyber defenders, critical infrastructure providers and major software maintainers. Anthropic created Glasswing after internal evaluations showed Mythos-class models could find and exploit software vulnerabilities at a level that raised meaningful misuse concerns.
Following the debut of Glasswing and Mythos, U.S. officials and intelligence agencies began weighing how such models could reshape both cyber defense and offensive operations, while Sen. Mark Warner warned that AI-assisted vulnerability discovery should force industry to “accelerate and reprioritize patching.” Financial regulators also took notice: The Guardian reported that Mythos entered discussions among senior banking officials and regulators in the U.S. and U.K. because of fears that AI-accelerated cyberattacks could threaten payment systems and broader financial stability.
The reaction has not been limited to alarm. Governments also want access: Reuters reported that South Korea’s national internet security agency had secured Mythos access through Project Glasswing, reflecting a broader geopolitical race to use frontier AI for national cyber defense. At the same time, Anthropic has faced scrutiny over whether it can safely gate the very capabilities it says are too risky for general release. The Verge reported that unauthorized users accessed Mythos after its limited rollout, calling the incident damaging for a company that has built its brand around responsible AI.
Critics have also questioned whether Anthropic’s warning-heavy framing risks becoming a form of market positioning, since it casts the company as both the source of the new capability and the gatekeeper deciding which governments, companies and researchers get to use it.
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With Fable 5, Anthropic is leaning into its gatekeeper role, attempting to separate the general enterprise value of a Mythos-class model from the riskiest parts of its capability profile. The company says Fable 5 can handle software engineering, research, visual reasoning, document analysis and long-running agentic workflows, while classifiers block or reroute requests that could provide what Anthropic calls “uplift” to malicious actors.
Those classifiers cover three main areas.
Cybersecurity, where Anthropic says Mythos-class models can discover and exploit vulnerabilities and perform broader “agentic hacking” tasks such as reconnaissance, discovery and lateral movement.
Biology and chemistry, where the company says the same reasoning that can help researchers design therapies could also help well-resourced malicious actors pursue dangerous biological work.
Model distillation, where Anthropic says users may try to extract Claude’s capabilities to train competing models, including models that could be released without similar safeguards.
When Fable 5’s classifiers detect one of those categories, the response is automatically handled by Claude Opus 4.8. Anthropic says users will be told when this happens. That is a notable product decision: rather than declining those requests outright, Anthropic is trying to keep the user experience functional while reducing access to the most capable version of the model in sensitive areas.
Anthropic says it red-teamed the new classifier system internally and externally. The company says an external bug bounty produced no universal jailbreaks after more than 1,000 hours of testing, and external red-teaming organizations also failed to find a universal jailbreak. One external partner found that Fable 5 complied with zero harmful single-turn cyber requests related to planning cyberattacks, exploit development or defense evasion, even when prompts used any of 30 public jailbreak techniques, according to Anthropic.
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The company is still acknowledging tradeoffs. Anthropic says the safeguards are deliberately cautious and may sometimes trigger on benign requests. That could frustrate security professionals, biology researchers and advanced enterprise users whose legitimate work overlaps with the blocked categories. The company says it plans to reduce false positives over time.
Mythos 5 and the restricted frontier
While Fable 5 is the broad commercial launch, Mythos 5 is the model to watch for enterprises operating in security, critical infrastructure and life sciences.
The company says all users with Claude Mythos Preview access can upgrade to Mythos 5 beginning today. It plans to expand access through a trusted access program, in collaboration with the U.S. government.
The distinction is important for sectors where the blocked capabilities are not edge cases but core workflows. A security team may need to reproduce vulnerabilities, test exploitability, analyze lateral movement or simulate attacker behavior in a controlled environment. A biology research team may need to reason through molecular design workflows that would trigger general-use safeguards. Fable 5 is not designed to give every user unrestricted access to those capabilities; Mythos 5 is designed for vetted users who need them.
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Anthropic says Mythos 5 has the strongest cybersecurity capabilities of any model in the world. In the company’s benchmark table, the model family scores 78.0% on ExploitBench, compared with 69.0% for Claude Mythos Preview, 40.0% for Opus 4.8 and 34.0% for GPT-5.5. On CyberGym, Anthropic’s chart shows Mythos 5 at 83.8%, slightly ahead of Mythos Preview at 83.1% and far above Opus 4.8 with default safeguards.
The company is making a similar argument in biology. Anthropic says Mythos-class models outperform dedicated protein language models on a task involving adeno-associated viruses, a delivery mechanism used in gene therapies. The company frames that as both promising and risky: the same capability that could help gene therapy research could also be misused in dangerous biological work.
Anthropic says its internal protein design experts used Mythos 5 to accelerate parts of the drug design process by about tenfold. In one example, the company says Mythos 5, using protein design and bioinformatics tools without human assistance, matched or beat skilled human operators by choosing binding sites, selecting and running tools, and recovering from failures. Anthropic says nine of 14 protein targets in the study produced strong candidates for drug design that it is now investigating.
The company also says Mythos 5 produced novel molecular biology hypotheses that Anthropic scientists preferred over Opus-class model hypotheses about 80% of the time in blinded comparisons. Anthropic says several of those ideas have advanced to experimental evaluation, and one hypothesis involving an E. coli protein was later corroborated by an independent lab working on the same problem.
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Those claims are potentially significant, but they should be treated carefully until more details are published. Anthropic says it intends to publish additional results in the coming months. For now, the strongest enterprise implication is directional: the company believes its highest-end models can already perform parts of scientific research workflows with less human intervention than prior systems.
New, longer data retention requirement
The company also introduced a new data-retention policy for Mythos-class models. Anthropic says it will require 30-day retention for all traffic on Fable 5, Mythos 5 and future models with similar or higher capability levels, across both first-party and third-party surfaces. The company says it will not use that data to train new Claude models or for non-safety purposes, and says it has added privacy protections including logging human access and deleting the data after 30 days in almost all cases.
That policy may become one of the most important enterprise buying questions around Fable 5. Many businesses want frontier AI capability but also want strict control over data retention, especially in regulated sectors. Anthropic’s position is that stronger monitoring is necessary for models with this level of capability. Enterprise customers will have to decide whether the capability gain justifies the retention requirement.
Enterprise implications
The broader enterprise significance of Fable 5 is that Anthropic is trying to commercialize a more autonomous class of AI model without exposing all of its capabilities to every user. That could become a template for how frontier labs release increasingly powerful systems: one model family, multiple access tiers, and domain-specific restrictions depending on user trust and risk.
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If Fable 5 performs as Anthropic and early customers describe, developers may hand off larger tasks: code migrations, refactors, UI builds, test writing, bug fixing, documentation, internal tooling and multi-step app creation.
For knowledge-work-heavy enterprises, Fable 5 could make AI more useful in workflows where earlier models were too brittle: finance research, spreadsheet analysis, legal redlines, procurement review, board materials, market research, sales operations and project planning. The main gain is not just better answers; it is fewer turns, fewer corrections and more ability to keep working through ambiguity.
For security teams, the launch is more complicated. Most organizations will get Fable 5, not unrestricted Mythos 5. That means they may see stronger general coding and analysis, but not full access to the cyber capabilities Anthropic considers risky. Trusted defenders inside Project Glasswing will get Mythos 5, giving them a more direct way to use the model for vulnerability discovery and defensive testing.
For life sciences companies, the pattern is similar. Fable 5 may help with general research, literature analysis, data interpretation and scientific reasoning, but the more sensitive biological capabilities will be restricted. Anthropic is effectively creating a separate access path for vetted researchers whose work requires capabilities that could be dangerous in the wrong hands.
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The launch also raises competitive pressure across the AI industry. Anthropic is claiming state-of-the-art results across agentic coding, knowledge work, vision, cybersecurity, legal reasoning, spatial reasoning and health benchmarks. But the more strategically important claim may be that it has found a workable release mechanism for models above its Opus class. If Fable 5’s safeguards hold up under real-world use, Anthropic will argue it can bring more powerful models to market sooner without fully opening the riskiest capabilities.
That is still a large “if.” The enterprise market will test not only Fable 5’s benchmark performance, but also its reliability, false-positive rate, data-retention tradeoffs and cost at scale. A model that can complete more work autonomously can also burn more tokens, trigger more governance questions and create new review burdens for teams that must verify its output.
Still, today’s launch marks a clear shift in the Claude lineup. Opus is no longer Anthropic’s top commercial capability tier. Mythos-class models now sit above it. Fable 5 is the first version of that tier for general users; Mythos 5 is the restricted version for trusted high-risk work. Together, they show how Anthropic plans to push frontier AI deeper into enterprise workflows while trying to keep the most dangerous capabilities gated.
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The model will reportedly be made available to enterprise customers and paid subscribers.
Just two months after rolling out Mythos to a limited pool of high-level users, Anthropic has announced the release of Claude Fable 5, an AI model similar to Mythos but with significant safeguards and blocks to prevent deliberate misuse and security breaches, according to the company.
Unlike Mythos, which is currently only available to a select number of organisations and institutions due to major concerns about securing critical infrastructure, Claude Fable 5 will be made available to enterprise customers and paid subscribers.
The model has built-in barriers that aim to block responses in high-risk areas such as cybersecurity, chemistry and biology, with such interactions automatically handled instead, the company said, by its Opus 4.8 model.
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Fable 5, Anthropic claimed, shows strong capabilities in software engineering, knowledge work, vision, scientific research and similar fields.
In a statement, Anthropic explained that over the course of the past few months, the organisation has worked to improve safeguards that would make Claude Fable 5 “robust enough for a general release”, adding that in prioritising safety, some measures are “stricter than would be ideal” and some benign requests may be classified as risky. However, there are plans to further refine the model’s regulation systems.
Anthropic has also announced an updated version of the Mythos model, Claude Mythos 5, reportedly similar to Fable 5 but with the cyber safeguards lifted.
The organisation said, “In consultation with the US government, we plan to steadily expand access to Claude Mythos 5, continuing our periodic addition of new partners, as well as pursuing a trusted access programme that allows cybersecurity organisations to apply in a more systematic manner.”
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In early June, Anthropic unveiled plans for a historic initial public offering that could take the company’s valuation soaring above $1trn. The proposal came less than a week after Anthropic overtook OpenAI’s valuation with a $65bn Series H funding round that valued it at $965bn.
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An anonymous reader quotes a report from Electrek: Solar generated more U.S. electricity than coal for the first month on record in May 2026, according to new analysis from global energy think tank Ember. Solar supplied 12.8% of U.S. electricity during the month, while coal dropped to 12.2%. That’s a dramatic shift in the U.S. power mix. Just five years ago, coal generated 19.7% of U.S. electricity in May, while solar accounted for only 5.4%. U.S. solar generation hit a record 45.5 terawatt-hours (TWh) in May 2026, up 17% from May 2025 and higher than the previous record set last July. Ember says another record could be broken again this summer.
Solar output usually peaks in June or July, but its share of the electricity mix is often highest in spring, when strong sunshine lines up with milder temperatures before summer cooling demand ramps up. May was also the first time solar became the third-largest individual source of electricity in the U.S., behind only natural gas and nuclear. (If solar is included with all other renewables, then they’re the second-largest source of electricity as an overall category of electricity.) Meanwhile, coal keeps sliding (and will continue to slide). Coal generation hit an all-time monthly low of 39.3 TWh in April 2026. Output rose slightly in May to 43.4 TWh, but it was still 11% lower than May 2025 levels. Even with that small rebound, coal couldn’t keep pace with solar’s rapid growth.
While the deal could be signed in ‘the coming days’, talks are ongoing and it may not materialise at all, sources told Reuters.
Nuvei, a payments company based in Montreal, Canada, is reportedly in “advanced talks” to acquire Payoneer Global for $2.7bn, according to Reuters.
The purchase price – which includes Payoneer’s cash holdings – implies an enterprise value of about $2.3bn, according to two sources familiar with the matter that spoke with the publication.
While the deal could be signed in “the coming days”, talks are ongoing and it may change or not materialise at all, the sources added.
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If the deal was signed, the resulting acquisition would combine Nuvei’s payment processing business with Payoneer’s cross-border payments solution.
Nuvei, which provides payment processing, risk management and payout solutions to merchants globally, was founded in 2003 by Philip Fayer, who is also the company’s chair and CEO.
Nuvei is backed by Canadian investment group CDPQ and private equity firms Novacap and Advent International – the latter of which took Nuvei private in 2024 through an all-cash transaction that valued the payments company at approximately $6.3bn.
Payoneer, which is based in New York, was founded in 2005 by Yuval Tal with $2m in seed funding from Tal and other private investors.
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The company – which processes cross-border payments for freelancers, sellers and businesses – supports 70 currencies and has a number of high-profile customers, including Google, Ebay, AirBnB, Fiverr, Visa and Walmart.
Since Reuters’ report on the potential acquisition, Payoneer shares have risen significantly, jumping by more than 24pc. Its market capitalisation at the time of writing is currently $2.13bn.
Boundless enables businesses to handle cross-border payroll, taxes, benefits and compliance, with the aim of simplifying complexities surrounding international employment to make it easier for companies to hire and support talent globally.
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The acquisition was expected to help Payoneer access and manage its talent spread globally, especially as limited staff and varying local regulations make payroll compliance difficult, the company said at the time.
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At WWDC 2026, Apple debuted the next version of the iPhone’s operating system, iOS 27. The public release is set for September, but those interested can try out the new features in iOS 27 early by installing the developer preview. As it is with every beta release, however, there is always a bit of risk involved, especially if you own an older iPhone model. Multiple iPhone 15 Pro owners have been reporting bricked devices after installing the update.
The issue seems to be triggered after a force restart. Affected users have reported that their iPhones became completely unresponsive, with the display remaining black even after trying to turn the device back on or plugging it into a charger. We were able to reproduce the issue on our iPhone 15 Pro Max running the first iOS 27 developer beta. To be safe, you may want to avoid installing the first beta if you’re on an iPhone 15 Pro. It’s unclear whether this issue affects the non-Pro iPhone 15s.
What worked in our case, as with many others, was restoring the iPhone using a Mac or PC by sending it into DFU (Device Firmware Update) mode. Unfortunately, some users haven’t been able to enter DFU mode, in which case, reaching out to Apple Support or a verified technician may be the only option.
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How to fix a bricked iPhone on iOS 27
Adnan Ahmed/SlashGear
If you’ve recently updated to iOS 27 and ended up with a bricked iPhone, there’s a decent chance that you might be able to revive it yourself. You need access to a Mac or Windows PC, an internet connection, a data cable, and some luck. Start by opening Finder on your Mac. If you’re on Windows, install the Apple Devices or iTunes app and launch it. Connect your iPhone to your computer using a cable. Next, you need to enter DFU mode on your iPhone. Doing so is tricky and requires a sequence of button combinations. With your iPhone connected to your computer:
Quickly press and release the volume up button.
Quickly press and release the volume down button.
Press and hold the side (power) button for five seconds, then, without releasing it, hold down the volume down button as well.
After five seconds, release only the side button while continuing to hold down the volume down button.
The Apple Devices app or Finder should recognize your iPhone in DFU mode. Click on “Restore iPhone” and give it a while. Your device should now boot up fresh with iOS 26.5. Unfortunately, you will lose all your apps and data, and you might need to bypass the activation lock by entering your Apple ID and password. This is why you should always back up your iPhone before trying out beta builds.
What we know so far: As the server battle between AMD and Nvidia enters a new phase, the two companies have begun trading jabs through performance estimates and early benchmarks. While Nvidia-approved results suggest its Vera processors outperform most AMD Epyc chips, Team Red believes its upcoming Venice lineup can leave Vera in the dust.
AMD recently published performance projections claiming its upcoming server CPU platform will dramatically outpace Nvidia’s latest showing. AMD’s estimates directly reference earlier results from controlled benchmarks that had favored Nvidia’s processor.
Team Red’s next data center CPU platform recently entered production and is on track to launch later this year. Built on AMD’s Zen 6 architecture, Epyc Venice chips will offer up to 256 cores and 512 threads. The lineup also marks AMD’s transition to TSMC’s 2nm process, a jump directly from the 4nm Epyc Turin that skips the 3nm node entirely.
AMD is projecting a 70% overall improvement in performance and efficiency over Turin, along with a 30% increase in thread density.
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Nvidia, for its part, formally launched its Vera server CPU at GTC in March. The Arm-based SoC packs 88 cores and 176 threads. In recent benchmarks, Phoronix described Vera as the most capable Arm processor it has ever tested, outclassing Intel Xeon and AMD Epyc across most workloads. However, the tests were conducted at Nvidia’s headquarters and came with several restrictions to ensure Nvidia’s sign-off.
AMD drew on Phoronix’s figures when building the methodology for its Venice projections.
Comparing core counts per CPU, node power, nodes per rack, and a 100kW rack power budget, the company estimates Venice will deliver 3.3 times Vera’s per-rack performance. AMD also projects its 192-core Epyc 9965 Turin and the 128-core Intel Xeon 6980P GNR-AP can reach 2.37x and 1.46x of Vera’s output, respectively.
AMD is also challenging Nvidia on per-core performance, claiming a 64-core Venice chip can beat Vera by 27%, with the 96-core variant edging it by 11%.
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As both processors target AI workloads, AMD argues that Venice’s higher core counts will translate into a meaningful advantage for agentic AI deployments. Even so, the true performance gap will remain uncertain until independent benchmarks arrive.
While promoting Venice’s theoretical performance, AMD is already hinting at what comes next. “Verano” will be AMD’s first CPU designed specifically for AI infrastructure. That chip is expected to introduce the Zen 7 architecture. Supply chain reports suggest Zen 7 will target TSMC’s A14 node, a 1.4nm-class process that would mark AMD’s entry into the angstrom era and deliver further gains in performance and efficiency beyond 2nm. AMD has not confirmed those details.
The iOS 26 update has the second-worst adoption rate of all iOS releases since 2015, falling behind both iOS 18 and iOS 8.
Though all eyes might be on iOS 27 and its AI-infused Siri, which debuted at WWDC, the software has only entered beta testing.
Most iPhones, or 79% of all devices to be more precise, are currently running iOS 26. This is according to Apple’s App Store data for June 2026, which also revealed that 86% of all devices introduced in the last four years have iOS 26 installed.
While these figures might seem impressive when taken at face value, the iOS 26 adoption rate is actually worse than that of the preceding iOS 18 update. In June 2025, 82% of all iPhones ran iOS 18, more than the 79% currently running iOS 26.
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When taking into account Apple’s App Store data from all iOS releases from 2015 through 2026, the iOS 26 update actually has the second-lowest adoption rate, with only iOS 17 seeing fewer user upgrades.
The exact adoption rates for iOS 8 through iOS 26 for all compatible iPhones are the following:
2015 iOS 8: 84%
2016 iOS 9: 84%
2017 iOS 10: 86%
2018 iOS 11: 81%
2019 iOS 12: 88%
2020 iOS 13: 81%
2021 iOS 14: 85%
2022 iOS 15: 82%
2023 iOS 16: 81%
2024 iOS 17: 77%
2025 iOS 18: 82%
2025 iOS 26 79%
Note that all of these adoption rates were taken in June of the corresponding year, with the exception of iOS 12 usage data, which was published in August 2019.
At 79%, the iOS 26 adoption rate is below the 82.3% average from 2015 through 2026. Still, it’s not all bad news.
In February 2026, only 66% of all iPhones were running iOS 26, meaning more users have upgraded in the last couple of months. This is to be expected, though.
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Even so, not everyone has embraced the controversial iOS 26 upgrade. According to Apple’s June 2026 App Store data, 14% of devices are still running iOS 18, while 7% are still on even older releases.
Apple’s data on newer devices running iOS 26
Since 2020, in June of every year, Apple has published iOS adoption rates for devices “released in the last four years.” At 86%, the adoption rate for iOS 26 is identical to that of iOS 17 in 2024. Meanwhile, iOS 18 had a higher score, at 88%.
The adoption rate of iOS 26 is also lower than the 87.6% average when Apple’s data from 2019 through 2026 is taken into account. Previous iOS updates, like iOS 12 in August 2019, saw lower adoption rates among newer devices, so iOS 26 is not an outlier in any sense.
Apple’s exact numbers for “all devices introduced in the last four years,” since the company released such data, are:
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2019 iOS 12: 85%
2020 iOS 13: 92%
2021 iOS 14: 90%
2022 iOS 15: 89%
2023 iOS 16: 90%
2024 iOS 17: 86%
2025 iOS 18: 88%
2026 iOS 26: 86%
While iOS 26 has fallen behind iOS 18, possibly due to its Liquid Glass design language, the difference is likely not enough to cause alarm for Apple. Looking ahead, iOS 27 could boost iOS adoption rates.
Rather than controversial design changes, Apple says the iOS 27 update will deliver improved performance on older iPhones, with app opening speeds now being 30% faster, relative to previous releases.
Additionally, the same iPhone models that support iOS 26 can be updated to iOS 27, including the iPhone 11. As such, iOS 27 seems to have little to deter potential upgraders. Time will tell if the iOS 27 adoption rate will actually be higher than that of iOS 26, though.
Microsoft shared a 30-minute gameplay video for Fable right after the latest Xbox showcase. The footage offers the most detailed look yet at how Playground Games plans to handle the return to Albion. Players step into the role of a hero who begins as a child discovering unusual powers in the village of Briar Hill. A time jump then moves the story forward to adult life, where decisions start to shape both the character and the surrounding world.
Playground Games based the game on three key ideas from previous entries. A fairytale tone is undoubtedly evident, but it is balanced by a particular British sense of humor and a heavy emphasis on making decisions that will have long-term consequences. The new story stands on its own, but it has a very familiar approach to fantasy.
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The combat system functions efficiently because it is divided into three fundamental categories: Strength for close-up and melee combat, Skill for ranged attacks, and Will for magic. Some of the videos show some very innovative uses for that magic, such as transforming an enemy into a chicken and then shooting them with a fireball, or sneaking up behind someone and teleporting past for a quick strike before the green orbs light up to indicate you’re accumulating experience.
Reputation is based on what others see you do, not on an abstract number. So, assisting someone in need may earn you a virtuous or merciful reputation, which may result in a more welcoming reception from the community. If you cause disturbance in public, you may gain a reputation as a troublemaker, which could make things more difficult in the future. The system is clever since it allows you to build a reputation through a combination of good deeds as well as selfish goals, and you can even try to shape people’s impressions of you by spreading rumors or paying off local gossipmongers.
Is it more than just fighting and main quests? You can truly establish your existence in the world. You can purchase a home, open a bar, a blacksmith business, and so on. You can even develop relationships with others, some of which may lead to your own family or a shared home. Instead of always rushing to complete the main story, the game lets you to take a break and enjoy the journey.
Albion, the land in which you play, is full of little side paths and detours. There is no one “correct” way to play, so go explore, do some local jobs, and start building a life in any community you find yourself in. Towns look to be populated by real people, rather than just waiting for the hero to show, because the residents have their own schedules rather than simply hanging out till you arrive.
The visuals are bright and stunning, with a timeless quality about them. The villages are full of flowers and thatched roofs, and the locals look to be going about their everyday lives rather than standing around waiting for you, which is one of the most impressive elements of this demo, given that the entire game will be released on February 23rd, 2027. [Source]
Every generation has its iconic cars. From the hot rods of the 1930s to the sleek sports cars of the 1980s, each era can be defined by its unique take on the age-old idea of how to make cars that are fast, cool, and expressive.
Across all of automotive history, the 1960s stand out as a special time for cars. High-performance vehicles were incredibly affordable, and gas wasn’t the premium product it is now. Many houses had one- or two-car garages, and most had a car that served as an extension of their own personality. The cars of this era had not yet settled into the homogenized style of the 1970s, retaining much of the hot-rod flair of earlier decades without becoming luxury status symbols reserved for only the wealthiest elites.
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Let’s travel back in time to the golden age of automobiles and look at some of the most legendary vehicles of that one-of-a-kind decade. If you grew up in the ’60s, you definitely remember these cars. And if you didn’t, you surely still find yourself looking at them with an envious wistfulness of vicarious nostalgia. Simply put, they don’t make ’em like that anymore.
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1965 Pontiac GTO
Over the years, Jay Leno’s Garage featured tons of iconic and expensive cars, but few are as downright legendary as this one. When the 1965 Pontiac GTO Royal Bobcat was featured on an episode of Jay Leno’s Garage, the former Tonight Show host described the vehicle as the first true supercar, an early example of the burgeoning American muscle car scene. He even went so far as to say, “This was the dream car when I was 14 or 15 years old.”
The Pontiac GTO was special because it broke, or at least sidestepped, the rules. Back in the day, General Motors limited the size of a midsize car’s engine to 330 cubic inches. Big cars get big engines, small cars get small engines. But the engineers at Pontiac managed to stuff a 389-cubic-inch V8 engine into a midsize car, and the rest was history. Initially pitched as an optional engine upgrade for the Pontiac Tempest, its popularity led to the invention of the 1966 GTO as its own bespoke vehicle, and the birth of the American muscle car.
There’s nothing like the rev of an oversized V8 engine that’s just a little (or a lot) too big for the car it’s powering. Every child of the ’60s who sat in a car and felt the entire frame vibrate as the driver revved the engine had the exact same thought: “When I grow up, I want one of these.” Chances are, that car was a Pontiac GTO.
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1968 Ford Mustang
For many automotive enthusiasts, love for cars comes from exposure to TV and movies. In that regard, the 1960s had some of the most legendary vehicles ever to grace the screen. There’s the 1966 Batmobile driven by Adam West in “Batman” and the Mach 5 from “Speed Racer,” as well as the Black Beauty from “The Green Hornet” and the Elva Mk VI, driven by none other than Elvis Presley in “Viva Las Vegas.”
However, if there’s a single scene that represents the blending of cars and cinema, it’s the 1968 Ford Mustang driven by Steve McQueen in “Bullitt.” For the most part, “Bullitt” is a by-the-numbers detective movie bolstered by McQueen’s cool charisma in the title role. However, it kicks into overdrive during the show-stopping ten-minute car chase sequence, which was a turning point in action cinema. The entire car chase genre, including the “Fast & Furious” series, would not exist without “Bullitt.” McQueen does much (but not all) of his own driving in the scene, which sees Frank Bullitt outmaneuver hitmen in a pulse-pounding pursuit through the streets of San Francisco.
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The movie and its car chase inspired a whole generation of car fanatics. Everyone who saw “Bullitt” wanted a Ford Mustang. More than five decades later, Ford is still releasing modern Mustangs inspired by the one used in the film, such as the 2020 Ford Mustang Bullitt, named after the movie. As for the original 1968 Mustang used in the movie, it was sold for $3.74 million at a 2020 auction, making it the single most valuable Mustang of all time.
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1967 Chevrolet Camaro
In 1966, Car and Driver magazine went hands-on with the 1967 Chevrolet Camaro SS 350 and came away impressed, though with more than a hint of melancholy. The Camaro, they surmised, was aimed at the youth market, which had been sideswiped by the escalation of the Vietnam War. The Camaro was hip and relatively inexpensive but hindered by the fact that its target audience of young men had been drafted into military service.
Nevertheless, the Camaro was priced reasonably, with both the hardtop and convertible versions retailing for less than $3,000 each, competitive with its main rival, the Ford Mustang. One of the more popular versions of the Camaro was the RS, or Rally Sport, variant, which featured concealed headlights, mag wheels, options for vinyl roof customization, and rally stripes. They don’t make the car any faster, but they sure look neat!
The car was marketed toward young people, though it earned the respect of auto enthusiasts due to its use as the Pace Car in the 51st Indy 500 in 1967, with none other than three-time Indy 500 champion Mauri Rose behind the wheel, thus giving the vehicle credibility among the gearhead community. As a result, the Camaro ingratiated itself with Indy 500 fans of all ages. There would be many Camaro variants over the decades, but the 1967 version is among the best-looking Chevy Camaros of all time. Not bad for a car approaching 60 years old.
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Volkswagen Van
Even if you’re not a “car person,” you know what a Volkswagen van is. It’s the iconic “hippie bus,” and it’s instantly recognizable as an iconic car of the era. Design-wise, it had a ton of room in the back, which was perfect for road trips and the nomadic lifestyle of counterculture kids. Remember, back in, say, 1967, gasoline was only 33 cents per gallon on average, so going on even a cross-country trek wasn’t as difficult as it is now. If you wanted to drive for days at a time, you could just go without selling off all of your possessions first.
The original run of the Volkswagen Transporter was actually introduced way back in 1950, and it became popular in the beach scene. Teenagers of the era would pack into a VW and head to the beach for fun in the sun. Later on in the 1960s, however, the bus would become the de facto automobile mascot of the hippie scene. It was perfect for packing in many riders to go to protests, and there was plenty of room in the back for a little “free love,” if you will.
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In 1967, the second-generation iteration of the vehicle was introduced, though it lost some of its bus-like novelty with the removal of the iconic split windshield design in favor of a more traditional single-pane windshield, among other changes that sacrificed the classic identity of the original Transporter. The VW Bus would evolve considerably over the years, but the original is still a fan favorite.
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1963 Porsche 911
There were sports cars before Porsche, but the 1963 Porsche 911 changed the game. It wasn’t the first classic Porsche, but it was sleek and small with an instantly recognizable silhouette. Under the hood, the 911 boasted an air-cooled engine that delivered 130 HP. Despite making sports cars, Porsche also had a reputation for being (relatively) affordable and would go on to develop the Porsche 912 in 1965 as a less expensive alternative to the regular 911.
The Porsche 911 is an iconic car for bringing luxury sensibilities to everyday suburbia in the 1960s. Its engine may not have been able to compete with the muscle cars of Pontiac or Ford, but Porsche would upgrade the engine over the years. In 1966, the Porsche 911S boosted the engine to a more palatable 160 HP, and by 1971, the Porsche Carrera RS would boast a stellar 210 HP engine.
For many young people in the 1960s, Porsche was their introduction to the very concept of a sports car. For those who didn’t see the appeal of a bulky, muscular hot rod but still wanted to go fast, Porsche was the origin point for a lifetime of aspirational thinking.
A buckminsterfullerene, also known as a buckyball, is typically a fullerene consisting of sixty carbon atoms (C60) arranged in a way that resembles a football-like sphere. Extending this arrangement to other types of atoms has until now however proven as illusive as finding non-carbon-based lifeforms. In a paper by [Hyun Wook Choi] et al. and published in Chemical Science the discovery of boron buckyballs is detailed. There is also a soft-paywalled article in the Chemical & Engineering News magazine for a higher-level perspective.
The discovered boron-based buckyball ups the number of atoms to eighty, forming B80 (boron fullerite) with a slightly larger diameter than C60 at 0.85 nm versus 0.71 nm. Perhaps more interesting are the claims by the authors that boron fullerite may have more practical applications than its carbon-based cousin, mostly due to it being predicted to be a semiconductor with an 0.8 eV energy gap and better electron acceptance that provides interesting doping prospects.
Producing these boron structures used laser vaporization with a helium carrier gas that was seeded with argon to increase cooling efficiency. Inside this boron cluster the reported structures were then discovered and characterized as described in the paper.
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Obviously, going from a fascinating laboratory discovery to bulk production won’t be easy, and the predicted properties of boron fullerite may turn out to be incomplete or have a dark side that we aren’t aware of. Regardless, they’re bound to be more useful at least than the carbon version that’s remained mostly a curiosity despite many years of research.
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