Creativity that AI cannot reshape

A landmark ruling in Munich has put renewed pressure on AI developers, following a German court’s finding that OpenAI is liable for reproducing copyrighted song lyrics in outputs generated by GPT-4 and GPT-4o. The judges rejected OpenAI’s argument that the system merely predicts text without storing training data, stressing the long-established EU principle of technological neutrality that, regardless of the medium, vinyl, MP3, or AI output, the unauthorised reproduction of protected works remains infringement.

Because the models produced lyrics nearly identical to the originals, the court concluded that they had memorised and therefore stored copyrighted content. The ruling dismantled OpenAI’s attempt to shift responsibility to users by claiming that any copying occurs only at the output stage.

Judges found this implausible, noting that simple prompts could not have ‘accidentally’ produced full, complex song verses without the model retaining them internally. Arguments around coincidence, probability, or so-called ‘hallucinations’ were dismissed, with the court highlighting that even partially altered lyrics remain protected if their creative structure survives.

As Anita Lamprecht explains in her blog, the judgement reinforces that AI systems are not neutral tools like tape recorders but active presenters of content shaped by their architecture and training data.

A deeper issue lies beneath the legal reasoning, the nature of creativity itself. The court inferred that highly original works, which are statistically unique, force AI systems into a kind of memorisation because such material cannot be reliably reproduced through generalisation alone.

That suggests that when models encounter high-entropy, creative texts during training, they must internalise them to mimic their structure, making infringement difficult to avoid. Even if this memorisation is a technical necessity, the judges stressed that it falls outside the EU’s text and data mining exemptions.

The case signals a turning point for AI regulation. It exposes contradictions between what companies claim in court and what their internal guidelines acknowledge. OpenAI’s own model specifications describe the output of lyrics as ‘reproduction’.

As Lamprecht notes, the ruling demonstrates that traditional legal principles remain resilient even as technology shifts from physical formats to vector space. It also hints at a future where regulation must reach inside AI systems themselves, requiring architectures that are legible to the law and laws that can be enforced directly within the models.

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OpenAI Academy supports small firms with AI training

OpenAI Academy is running a US nationwide Small Business AI Jam for more than 1,000 owners. Workshops in San Francisco, New York, Detroit, Houston and Miami give practical help using AI to handle everyday tasks.

Participants from restaurants, retailers, professional services and creative firms work alongside mentors to build tailored AI tools. Typical projects include marketing assistants, customer communication helpers and organisers for bookings, stock or paperwork. Everyone leaves with at least one ready to use workflow.

A survey for OpenAI found around half of small business leaders want staff comfortable with AI. About sixty percent expect clear efficiency gains when employees have those skills, from faster content writing to smoother operations.

Only available in the US, owners gain access to an online academy hub before and after the in person events. Follow up offers a virtual jam on 4 December, office hours, and links to an AI for Main Street certification track and jobs platform.

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OpenAI unveils new global group chat experience

Since yesterday, OpenAI has launched group chats worldwide for all ChatGPT users on Free, Go, Plus and Pro plans instead of limiting access to small trial regions.

The upgrade follows a pilot in Japan and New Zealand and marks a turning point in how the company wants people to use AI in everyday communication.

Group chats enable up to twenty participants to collaborate in a shared space, where they can plan trips, co-write documents, or settle disagreements through collective decision-making.

ChatGPT remains available as a partner that contributes when tagged, reacts with emojis and references profile photos instead of taking over the conversation. Each participant keeps private settings and memory, which prevents personal information from being shared across the group.

Users start a session by tapping the people icon and inviting others directly or through a link. Adding someone later creates a new chat, rather than altering the original, which preserves previous discussions intact.

OpenAI presents the feature as a way to turn the assistant into a social environment rather than a solitary tool.

The announcement arrives shortly after the release of GPT-5.1 and follows the introduction of Sora, a social app that encourages users to create videos with friends.

OpenAI views group chats as the first step toward a more active role for AI in real human exchanges where people plan, create and make decisions together.

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Foxconn and OpenAI strengthen US AI manufacturing

OpenAI has formed a new partnership with Foxconn to prepare US manufacturing for a fresh generation of AI infrastructure hardware.

The agreement centres on design support and early evaluation instead of immediate purchase commitments, which gives OpenAI a path to influence development while Foxconn builds readiness inside American facilities.

Both companies expect rapid advances in AI capability to demand a new class of physical infrastructure. They plan to co-design several generations of data centre racks that can keep pace with model development instead of relying on slower single-cycle upgrades.

OpenAI will share insight into future hardware needs while Foxconn provides engineering knowledge and large-scale manufacturing capacity across the US.

A key aim is to strengthen domestic supply chains by improving rack architecture, widening access to domestic chip suppliers and expanding local testing and assembly. Foxconn intends to produce essential data centre components in the US, including cabling, networking, cooling and power systems.

The companies present such an effort as a way to support faster deployment, create more resilient infrastructure and bring economic benefits to American workers.

OpenAI frames the partnership as part of a broader push to ensure that critical AI infrastructure is built within the US instead of abroad. Company leaders argue that a robust domestic supply chain will support American leadership in AI and keep the benefits widely shared across the economy.

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Target expands OpenAI partnership with new ChatGPT shopping app

Target is expanding its partnership with OpenAI by launching a new shopping app directly inside ChatGPT. The app offers customers personalised recommendations, multi-item baskets and streamlined checkout across Drive Up, Order Pickup and shipping.

The retailer will continue using OpenAI’s models and ChatGPT Enterprise to enhance employee productivity and strengthen digital experiences across its business.

AI is central to Target’s operations, supporting supply-chain forecasts, store processes, and personalised digital tools. Over 18,000 employees utilise ChatGPT Enterprise to streamline routine tasks, enhance creativity, and receive faster support for guest requests and returns through internal AI assistants.

Customer-facing tools such as Shopping Assistant, Gift Finder, Guest Assist and JOY reinforce this strategy by offering curated suggestions and instant answers.

The new Target app inside ChatGPT extends this AI-driven approach to customers. Shoppers will be able to ask for ideas, browse curated suggestions, build baskets and check out through their Target accounts.

The beta version launches next week, and upcoming features include Target Circle linking and same-day delivery. Target views the partnership as part of a retail shift, embedding AI across products, operations and guest interactions to drive the next wave of innovation.

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OpenAI and Intuit expand financial AI collaboration

Yesterday, OpenAI and Intuit announced a major strategic partnership aimed at reshaping how people manage their personal and business finances. The arrangement will allow Intuit apps to appear directly inside ChatGPT, enabling secure and personalised financial actions within a single environment.

An agreement that is worth more than one hundred million dollars and reinforces Intuit’s long-term push to strengthen its AI-driven expert platform.

Intuit will broaden its use of OpenAI’s most advanced models to support financial tasks across its products. Frontier models will help power AI agents that assist with tax preparation, cash flow forecasting, payroll management and wider financial planning.

Intuit will also continue using ChatGPT Enterprise internally so employees can work with greater speed and accuracy.

The partnership is expected to help consumers make more informed financial choices instead of relying on fragmented tools. Users will be able to explore suitable credit offers, receive clearer tax answers, estimate refunds and connect with tax specialists.

Businesses will gain tailored insights based on real time data that can improve cash flow, automate customer follow ups and support more effective outreach through email marketing.

Leaders from both companies argue that the collaboration will give people and firms a meaningful financial advantage. They say greater personalisation, deeper data analysis and more effortless decision making will support stronger household finances and more resilient small enterprises.

The deal expands the growing community of OpenAI enterprise customers and strengthens Intuit’s position in global financial technology.

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OpenAI accelerates enterprise AI growth after Gartner names it an emerging leader

The US tech firm, OpenAI, gained fresh momentum after being named an Emerging Leader in Generative AI by Gartner. The assessment highlights strong industry confidence in OpenAI’s ability to support companies that want reliable and scalable AI systems.

Enterprise clients have increasingly adopted the company’s tools after significant investment in privacy controls, data governance frameworks and evaluation methods that help organisations deploy AI safely.

More than one million companies now use OpenAI’s technology, driven by workers who request ChatGPT as part of their daily tasks.

Over eight hundred million weekly users arrive already familiar with the tool, which shortens pilot phases and improves returns, rather than slowing transformation with lengthy onboarding. ChatGPT Enterprise has experienced sharp expansion, recording ninefold growth in seats over the past year.

OpenAI views generative AI as a new layer of enterprise infrastructure rather than a peripheral experiment. The next generation of systems is expected to be more collaborative and closely integrated with corporate operations, supporting new ways of working across multiple sectors.

The company aims to help organisations convert AI strategies into measurable results, rather than abstract ambitions.

Executives described the recognition as encouraging, although they stressed that broader progress still lies ahead. OpenAI plans to continue strengthening its enterprise platform, enabling businesses to integrate AI responsibly and at scale.

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AI Scientist Kosmos links every conclusion to code and citations

OpenAI chief Sam Altman has praised Future House’s new AI Scientist, Kosmos, calling it an exciting step toward automated discovery. The platform upgrades the earlier Robin system and is now operated by Edison Scientific, which plans a commercial tier alongside free access for academics.

Kosmos addresses a key limitation in traditional models: the inability to track long reasoning chains while processing scientific literature at scale. It uses structured world models to stay focused on a single research goal across tens of millions of tokens and hundreds of agent runs.

A single Kosmos run can analyse around 1,500 papers and more than 40,000 lines of code, with early users estimating that this replaces roughly six months of human work. Internal tests found that almost 80 per cent of its conclusions were correct.

Future House reported seven discoveries made during testing, including three that matched known results and four new hypotheses spanning genetics, ageing, and disease. Edison says several are now being validated in wet lab studies, reinforcing the system’s scientific utility.

Kosmos emphasises traceability, linking every conclusion to specific code or source passages to avoid black-box outputs. It is priced at $200 per run, with early pricing guarantees and free credits for academics, though multiple runs may still be required for complex questions.

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New York Times lawsuit prompts OpenAI to strengthen privacy protections

OpenAI says a New York Times demand to hand over 20 million private ChatGPT conversations threatens user privacy and breaks with established security norms. The request forms part of the Times’ lawsuit over alleged misuse of its content.

The company argues the demand would expose highly personal chats from people with no link to the case. It previously resisted broader requests, including one seeking more than a billion conversations, and says the latest move raises similar concerns about proportionality.

OpenAI says it offered privacy-preserving alternatives, such as targeted searches and high-level usage data, but these were rejected. It adds that chats covered by the order are being de-identified and stored in a secure, legally restricted environment.

The dispute arises as OpenAI accelerates its security roadmap, which includes plans for client-side encryption and automated systems that detect serious safety risks without requiring broad human access. These measures aim to ensure private conversations remain inaccessible to external parties.

OpenAI maintains that strong privacy protections are essential as AI tools handle increasingly sensitive tasks. It says it will challenge any attempt to make private conversations public and will continue to update users as the legal process unfolds.

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GPT-5.1 makes ChatGPT smarter and more personal

Meta has announced the construction of its 30th data centre in Beaver Dam, Wisconsin. The $1 billion investment will support the company’s expanding AI infrastructure while benefiting the local community and the environment.

A facility, designed to support Meta’s most demanding AI workloads, that will run entirely on clean energy and create more than 100 permanent jobs alongside 1,000 construction roles.

The company will invest nearly $200 million in energy infrastructure and donate $15 million to Alliant Energy’s Hometown Care Energy Fund to assist families with home energy costs.

Meta will also launch community grants to fund schools and local organisations, strengthening technology education and digital skills while helping small businesses use AI tools more effectively.

Environmental responsibility remains central to the project. The data centre will use dry cooling, eliminating water demands during operation, and restore 100% of consumed water to local watersheds.

In partnership with Ducks Unlimited, Meta will revitalise 570 acres of wetlands and prairie, transforming degraded habitats into thriving ecosystems. The facility is expected to achieve LEED Gold Certification, reflecting Meta’s ongoing commitment to sustainability and community-focused innovation.

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