Anthropic has opened the doors to its most advanced AI system yet, but not without placing guardrails around its most sensitive capabilities.

The company on Tuesday unveiled Claude Fable 5, the first publicly accessible version of its Mythos-class AI model. Anthropic says the model outperforms every generally available system it has released to date, delivering major gains in software development, analytical work, visual understanding, and scientific reasoning.

The launch marks a significant shift for the AI firm. Until now, Mythos-level capabilities remained restricted to a small group of trusted organizations because of concerns that the technology could aid cyberattacks and other harmful activities. Fable 5 changes that equation by bringing those capabilities to a broader audience while routing certain high-risk requests through a less permissive model.

Safety before scale

Anthropic said Fable 5 includes a new layer of AI-powered classifiers designed to detect potentially dangerous prompts and jailbreak attempts. The company stress-tested those safeguards before releasing the model to the public.

If users submit requests involving cybersecurity, biology, chemistry, or model distillation, the system automatically redirects those interactions to Claude Opus 4.8 instead of Fable 5. Users receive a notification whenever that fallback occurs, allowing them to understand why the switch happened.

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available. pic.twitter.com/2AvmEjHIX8

— Claude (@claudeai) June 9, 2026

The company acknowledged that the safeguards may occasionally block harmless requests. However, Anthropic said early testing showed that fewer than 5% of sessions triggered a fallback response. “We’ve deliberately tuned the safeguards to be cautious,” the company said, adding that it plans to refine the system over time to reduce unnecessary interventions.

Built for demanding work

Anthropic argues that Fable 5 delivers its biggest advantages when tackling lengthy and complex assignments. The company says the model can stay focused across extended workflows while maintaining consistency over large amounts of context.

During early evaluations, payments company Stripe reported that the model completed a large-scale migration across a 50-million-line Ruby codebase in roughly one day. According to Anthropic, the same task would have otherwise occupied an engineering team for more than two months.

The company also highlighted gains in financial analysis. On Hebbia’s finance benchmark, Fable 5 posted the strongest results among leading models. Trading firm IMC found that the system performed well across factual analysis, reasoning tasks, root-cause investigations, and expected-value calculations.

Fable 5 also advanced Anthropic’s vision capabilities. The model can extract detailed information from scientific figures and reconstruct web applications from screenshots. In another demonstration, it completed Pokémon FireRed using a minimal vision-only setup after earlier Claude models struggled with the challenge.

Mythos stays restricted

Alongside Fable 5, Anthropic introduced Claude Mythos 5, a version of the same underlying model with fewer restrictions in select areas. Anthropic says the model offers the strongest cybersecurity capabilities it has developed so far.

Access to Mythos 5 remains limited. The company is deploying it through Project Glasswing while expanding availability to approved cyber defenders and organizations responsible for critical infrastructure. Anthropic said it intends to broaden access further through a trusted program in the future.

Fable 5 is available through Anthropic’s Claude API and consumption-based Enterprise offerings. Through June 22, Pro, Max, Team, and seat-based Enterprise subscribers can access the model at no additional cost. After that date, Anthropic plans to move users to a credit-based system before eventually restoring broader subscription access.

As competition intensifies across the AI industry, Anthropic is betting that powerful models do not have to arrive without safeguards. With Fable 5, the company is testing whether frontier capabilities and tighter controls can coexist in the hands of everyday users.

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The next frontier of AI involves machines that can move, see, and make decisions in the physical world. NVIDIA and South Korea’s LG Group are betting heavily on that future through a broad collaboration aimed at weaving AI into everything from factory floors and household robots to autonomous vehicles and large-scale data centers.

The companies unveiled plans to develop a connected AI ecosystem that links model development, simulation, deployment, and infrastructure under a single framework. By combining NVIDIA’s accelerated computing platforms with LG’s expertise across manufacturing, consumer electronics, telecommunications and mobility, the partners hope to shorten the path from AI experimentation to commercial deployment.

Reinventing factory operations

Manufacturing sits at the center of the partnership. LG plans to use AI to connect every stage of its industrial operations, creating a system that can respond to changing conditions with greater speed and efficiency. The company aims to establish an autonomous manufacturing ecosystem in which procurement, production, logistics, and customer delivery operate through continuous data analysis and real-time decision-making.

To support that vision, LG will combine production expertise gathered from its global facilities with NVIDIA’s digital twin technologies. Engineers will be able to simulate factory environments, test operational changes, and validate processes virtually before implementing them in the real world. The companies believe the approach could help define a new standard for smart manufacturing.

Robots learn virtually

LG is also deepening its push into robotics. The company continues developing home robots designed to assist users with everyday indoor tasks. Instead of relying solely on physical testing, developers will train and evaluate these machines inside realistic virtual environments before deployment.

LG plans to incorporate NVIDIA Isaac Sim and Isaac Lab into its robotics workflows, allowing teams to simulate scenarios and refine robot behavior more efficiently. The company is also exploring NVIDIA’s Isaac GR00T foundation model to equip robots with stronger reasoning capabilities and the ability to handle more sophisticated tasks.

One of robotics’ biggest challenges remains access to quality training data. To address that problem, LG Electronics is building what it describes as a physical AI data factory. Using NVIDIA Cosmos world models, the initiative will generate synthetic datasets to support the development of robotics and industrial AI. LG CNS plans to integrate NVIDIA’s robotics technologies into its industrial automation platform, while LG Innotek intends to develop sensing solutions optimized for NVIDIA systems.

Building AI infrastructure

Beyond robotics, the partnership extends to the computing backbone that supports increasingly demanding AI applications. LG Electronics plans to work with NVIDIA on liquid-cooling technologies and modular infrastructure aligned with the NVIDIA DSX AI factory platform, enabling faster deployment of high-performance computing facilities.

LG Uplus intends to build large-scale AI data centers capable of supporting the latest NVIDIA GPUs and to explore future GPU cloud services. LG Energy Solution is evaluating advanced 800-volt direct-current power technologies designed for next-generation facilities.

The collaboration also reaches the automotive sector. LG Electronics plans to align its advanced driver-assistance technologies with NVIDIA DRIVE platforms to support future software-defined vehicles, AI-powered cockpits and edge computing applications.

Airbus Helicopters has revealed a new autonomous aircraft based on its popular H145 platform, pushing the company deeper into the growing market for large uncrewed rotorcraft. The aircraft, named the U145, debuted as a full-scale mock-up ahead of the ILA Berlin Air Show and signals Airbus’ latest effort to blend proven helicopter performance with advanced autonomous flight systems.

The company plans to fly the aircraft with a safety pilot on board by the end of 2026. Airbus aims to place the platform into operational service early in the next decade.

Unlike many unmanned helicopters designed from scratch, the U145 builds directly on the H145, one of Airbus’ most widely used rotorcraft families. More than 1,800 H145 helicopters currently operate worldwide across military, civil, and public service missions. Together, they have logged over 8.5 million flight hours.

Heavy-lift drone push

Airbus designed the U145 to carry larger payloads and stay airborne longer than many existing rotary-wing drones. The aircraft features a maximum takeoff weight of roughly 8,400 pounds and targets missions ranging from cargo resupply to disaster response.

The company removed the traditional cockpit entirely. Instead, Airbus integrated autonomous systems, artificial intelligence tools, and a dedicated sensor package to manage flight operations without onboard pilots.

The redesign also reshapes the aircraft for logistics work. Engineers added an integrated nose cargo door, a foldable loading table, and a reinforced cargo floor to improve loading efficiency during field operations.

Airbus Helicopters CEO Matthieu Louvot said the U145 combines the H145’s established airframe and lifting power with autonomous operating capabilities usually associated with smaller drones. He added that Airbus plans to work with European autonomy specialists to expand the region’s uncrewed aviation ecosystem.

Military missions expanding

Airbus expects the U145 to support both civilian and military operations. The company described the aircraft as “mission agnostic,” meaning operators can adapt it for multiple roles with minimal structural changes.

Potential missions include firefighting, surveillance, armed reconnaissance, and disaster management. Airbus also wants the aircraft to act as a drone mothership capable of launching smaller airborne systems during combat operations.

The company already partners with missile manufacturer MBDA on air-launched effects technology tied to future European defense programs.

Airbus also sees the aircraft supporting crewed-uncrewed teaming missions, where autonomous aircraft operate alongside traditional helicopters and fighter aircraft.

The project reflects broader defense trends in the United States and Europe. Military planners increasingly want autonomous aircraft to handle dangerous logistics and reconnaissance missions while reducing risks to pilots in contested environments.

Existing platform advantage

The U145 marks Airbus’ second attempt to convert a crewed helicopter into an autonomous aircraft. The company previously developed the VSR700 uncrewed system from the Cabri G2 helicopter platform.

Airbus believes using an already certified helicopter gives the U145 a major advantage over clean-sheet drone designs. Existing supply chains, maintenance networks, and operational data could shorten development timelines and reduce certification risks.

In the United States, Airbus U.S. Space & Defense already offers a related autonomous aircraft concept to the U.S. Marine Corps. The MQ-72C, developed with Shield AI, L3Harris and Parry Labs, derives from the UH-72B Lakota helicopter.

The H145 platform itself also brings operational benefits. Powered by twin Safran Arriel 2E engines with FADEC controls, the helicopter maintains one of the lowest acoustic signatures in its class while producing lower carbon emissions than many competitors.