Reload launches Epic to bring shared memory and structure to AI agents

Founders of the Reload platform say AI is moving from simple automation toward something closer to teamwork.

Newton Asare and Kiran Das noticed that AI agents were completing tasks normally handled by employees, which pushed them to design a system that treats digital workers as part of a company’s structure instead of disposable tools.

Their platform, Reload, offers a way for organisations to manage these agents across departments, assign responsibilities and monitor performance. The firm has secured 2.275 million dollars in new funding led by Anthemis with several other investors joining the round.

The shift toward agent-driven development exposed a recurring limitation. Most agents retain only short-term memory, which means they often lose context about a product or forget why a task matters.

Reload’s answer is Epic, a new product built on its platform that acts as an architect alongside coding agents. Epic defines requirements and constraints at the start of a project, then continuously preserves the shared understanding that agents need as software evolves.

Epic integrates with popular AI-assisted code editors such as Cursor and Windsurf, allowing developers to keep a consistent system memory without changing their workflow.

The tool generates key project artefacts from the outset, including data models and technical decisions, then carries them forward even when teams switch agents. It creates a single source of truth so that engineers and digital workers develop against the same structure.

Competing systems such as LongChain and CrewAI also offer support for managing agents, but Reload argues that Epic’s ability to maintain project-level context sets it apart.

Asare and Das, who already built and sold a previous company together, plan to use the fresh capital to grow their team and expand the infrastructure needed for a future in which human workers manage AI employees instead of the other way around.

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Greece positions itself as a global AI bridge

The PM of Greece, Kyriakos Mitsotakis, took part in the India AI Impact Summit in New Delhi as part of a two-day visit that highlighted the country’s ambition to deepen its presence in global technology governance.

A gathering that focuses on creating a coherent international approach to AI under the theme ‘People-Planet-Progress’, with an emphasis on practical outcomes instead of abstract commitments.

Greece presents itself as a link between Europe and the Global South, seeking a larger role in debates over AI policy and geoeconomic strategy.

Mitsotakis is joined by Minister of Digital Governance Dimitris Papastergiou, underscoring Athens’ intention to strengthen partnerships that support technological development.

During the visit, Mitsotakis attended an official dinner hosted by Narendra Modi.

On Thursday, he will address the summit at Bharat Mandapam before holding a scheduled meeting with his Indian counterpart, reinforcing efforts to expand cooperation between Greece and India in emerging technologies.

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Microsoft and OpenAI fund UK AI alignment project

OpenAI and Microsoft have joined the UK’s AI Security Institute, pledging funding to its Alignment Project, an international effort focused on ensuring advanced AI systems are safe, secure, and act as intended.

Their contributions bring total funding to over £27 million, supporting some 60 research projects across eight countries.

AI alignment aims to steer AI systems to behave predictably and prevent unintended or harmful outcomes. The project provides grants, computing resources, and mentorship, boosting public trust in AI while supporting productivity, medical progress, and new job opportunities.

UK Deputy Prime Minister David Lammy and AI Minister Kanishka Narayan highlighted the importance of safe AI adoption. Lammy said strong safety foundations help the UK harness AI’s benefits, while Narayan stressed that public confidence is key to unlocking its full potential.

The Alignment Project operates with a global coalition including the Canadian Institute for Advanced Research, Amazon Web Services, Anthropic, and other partners.

By combining independent research teams, grant funding, and access to infrastructure, the initiative aims to keep increasingly capable AI systems reliable and controllable as they are deployed worldwide.

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AI model improves long-range space weather forecasts

Scientists from Southwest Research Institute and the National Center for Atmospheric Research, supported by the National Science Foundation, have created an experimental tool that could extend space weather forecasts from hours to several weeks.

Longer lead times would help operators protect satellites, navigation systems, and power infrastructure from solar disturbances. Research focuses on predicting where flare-producing solar active regions form.

By analysing magnetic data captured by the Solar Dynamics Observatory, scientists reconstructed hidden magnetic conditions beneath the Sun’s surface, showing that these regions follow structured magnetic bands rather than appearing randomly.

PINNBARDS, a physics-informed AI model, connects surface observations with deep tachocline dynamics that drive solar magnetic evolution. Better modelling could provide earlier warnings of solar flares and coronal mass ejections, helping protect communications and astronaut safety.

Funding from NASA and Stanford University supported the work. Researchers describe it as a foundation for next-generation forecasting systems capable of anticipating extreme solar activity with greater accuracy.

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Universities in India partner with OpenAI to scale AI education

OpenAI is expanding its footprint in India by partnering with leading higher-education institutions to integrate AI into teaching and research. The initiative aims to reach more than 100,000 students, faculty, and staff over the next year as India seeks to scale domestic AI skills.

Six public and private institutions, spanning engineering, management, medicine, anfd design, will participate in the first phase. Partners include the Indian Institute of Technology Delhi, the Indian Institute of Management Ahmedabad, and the All India Institute of Medical Sciences, New Delhi.

The programme focuses on embedding AI into core academic workflows rather than consumer experimentation. Campus-wide access to ChatGPT Edu, faculty training, and responsible-use frameworks will support applications in coding, research, analytics, and case analysis.

Two institutions will introduce OpenAI-backed certifications, while ed-tech platforms including Physics Wallah, upGrad, and HCL GUVI will extend structured AI training beyond campuses. The move coincides with broader investment by global AI firms as India hosts the AI Impact Summit in New Delhi.

With India now OpenAI’s second-largest user base after the US, the company is positioning universities as a long-term channel for adoption. The expansion reflects a wider contest over who shapes how AI is taught, governed, and embedded across one of the world’s largest education systems.

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Reliance and OpenAI bring AI search to JioHotstar

OpenAI has joined forces with Reliance Industries to introduce conversational search into JioHotstar.

The integration uses OpenAI’s API so viewers can look for films, series, and live sports through multilingual text or voice prompts, receiving recommendations shaped by their viewing patterns instead of basic keyword results.

A collaboration that extends beyond the platform itself, with plans to surface JioHotstar suggestions directly inside ChatGPT.

The approach presents a two-way discovery layer that links entertainment browsing with conversational queries, pointing toward a new model for how audiences engage with streaming catalogues.

OpenAI is strengthening its footprint in India, where more than 100 million people now use ChatGPT weekly. The company intends to open offices in Mumbai and Bengaluru to support the expansion, adding to its site in New Delhi.

The partnership was announced at the India AI Impact Summit, where Sam Altman appeared alongside industry figures such as Dario Amodei and Sundar Pichai.

A move that aligns with a broader ‘OpenAI for India’ strategy that includes work on data centres with the Tata Group and further collaborations with companies such as Pine Labs, Eternal, and MakeMyTrip.

Executives from both sides said conversational interfaces will reshape how people find and follow programming, helping users navigate entertainment in a more natural way instead of relying on conventional menus.

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Nvidia partnerships bolster India’s bid to become AI hub

US chipmaker Nvidia unveiled partnerships with Indian computing and infrastructure firms at the AI Impact Summit in New Delhi, as technology companies announced fresh investments. The agreements aim to expand AI data centre capacity and bolster India’s position in the global AI race.

Larsen & Toubro said it would work with Nvidia to build what it described as India’s largest gigawatt-scale AI factory, with planned sites in Chennai and Mumbai. Nvidia is also partnering with Yotta Data Services, which plans to deploy more than 20,000 Blackwell processors as part of a $2 billion investment.

The summit has drawn dozens of world leaders and ministerial delegations to discuss AI’s economic potential and associated risks, including job displacement and misinformation. India recently rose to third place in Stanford University’s annual AI competitiveness ranking, behind only the US and China.

Other deals followed. The Adani Group pledged $100 billion by 2035 for hyperscale AI-ready data centres, while Microsoft outlined plans to invest $50 billion to expand AI adoption in developing markets. Anthropic and Infosys also agreed to collaborate on AI agents for the telecoms industry.

Indian Prime Minister Narendra Modi and leaders, including Emmanuel Macron and Luiz Inacio Lula da Silva, are expected to issue a joint statement on AI governance. Analysts caution that nonbinding declarations may shape norms, but rapid industry advances could outpace legislative safeguards.

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Conversational AI comes to YouTube TV

YouTube is testing its conversational AI feature on smart TVs, gaming consoles, and streaming devices. The tool, previously available on mobile and desktop, appears as an Ask button marked with a Gemini sparkle icon.

The feature allows viewers to ask questions about videos, request summaries, receive related content suggestions, and select from prompts displayed on screen. Users can press the microphone button on their remote to interact with the AI while watching.

Currently, the tool is available to a limited group of users, on select videos, and supports English, Hindi, Spanish, Portuguese, and Korean. YouTube has not revealed when it will expand access to more users or regions.

By bringing conversational AI to TVs, YouTube aims to make viewing more interactive. Fans can now get answers or clarifications directly on the big screen without needing a phone or computer.

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AI agent autonomy rises as users gain trust in Anthropic’s Claude Code

A new study from Anthropic offers an early picture of how people allow AI agents to work independently in real conditions.

By examining millions of interactions across its public API and its coding agent Claude Code, the company explored how long agents operate without supervision and how users change their behaviour as they gain experience.

The analysis shows a sharp rise in the longest autonomous sessions, with top users permitting the agent to work for more than forty minutes instead of cutting tasks short.

Experienced users appear more comfortable letting the AI agent proceed on its own, shifting towards auto-approve instead of checking each action.

At the same time, these users interrupt more often when something seems unusual, which suggests that trust develops alongside a more refined sense of when oversight is required.

The agent also demonstrates its own form of caution by pausing to ask for clarification more frequently than humans interrupt it as tasks become more complex.

The research identifies a broad spread of domains that rely on agents, with software engineering dominating usage but early signs of adoption emerging in healthcare, cybersecurity and finance.

Most actions remain low-risk and reversible, supported by safeguards such as restricted permissions or human involvement instead of fully automated execution. Only a tiny fraction of actions reveal irreversible consequences such as sending messages to external recipients.

Anthropic notes that real-world autonomy remains far below the potential suggested by external capability evaluations, including those by METR.

The company argues that safer deployment will depend on stronger post-deployment monitoring systems and better design for human-AI cooperation so that autonomy is managed jointly rather than granted blindly.

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AI enables live translation and sign language for Modi summit

Prime Minister Narendra Modi delivered a speech at the India AI Impact Summit 2026, showcasing the nation’s progress in AI. The address emphasised technological innovation and the role of AI in driving national development.

The address was dubbed live in 11 languages, including Assamese, Bangla, English, Gujarati, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil and Telugu. Audiences across India could follow the speech without language barriers.

An AI-enabled sign language interpreter appeared on a large screen behind the prime minister in the auditorium at Bharat Mandapam. The live interpretation made the event fully accessible to attendees with hearing impairments.

Videos of the multilingual and sign-language versions were widely shared on the prime minister’s social media accounts. The initiative highlighted India’s growing use of AI tools to promote inclusivity and communication innovation.

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