More users are exploring how to switch from ChatGPT to Claude while preserving their existing chat history and preferences. Rather than starting over with a new AI assistant, many want to migrate context and maintain continuity.
The first step is gathering your data from ChatGPT. In Settings, open Personalisation, then review the Memory section to copy any stored preferences you want to retain. You can also export your full chat history through Data Controls by selecting ‘Export Data’.
ChatGPT will generate downloadable files containing your conversations. If you prefer a lighter approach, manually copy key discussions or ask ChatGPT to summarise your main preferences, frequently discussed topics, and custom instructions.
Once your information is ready, open Claude and enable Memory under Settings and Capabilities. Start a new conversation and paste your summaries using a prompt such as ‘Here is important context about me. Please update your memory accordingly.’
After transferring the data, verify that Claude has stored the information accurately. If you plan to leave ChatGPT entirely, review and delete saved memory entries before removing your account to ensure your data is cleared.
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Anthropic has enhanced its Claude AI chatbot to make switching from other platforms easier. Users on the free plan can now activate Claude’s memory feature, which allows them to import data from other AI platforms using a new dedicated tool.
The update ensures that users don’t have to start over when transferring context and history from competitors like OpenAI’s ChatGPT or Google’s Gemini.
The memory import option, first introduced in October for paid subscribers, now appears under ‘settings’ → ‘capabilities’ for all users. The tool lets users copy a prompt from their previous AI and paste the output into Claude, seamlessly transferring past interactions.
The recent popularity of Claude has been driven by tools such as Claude Code and Claude Cowork, as well as the launch of the Opus 4.6 and Sonnet 4.6 models. Upgrades enhance Claude’s coding, spreadsheet, and complex task capabilities, boosting its appeal to new users.
Anthropic’s visibility has also increased amid debates with the Pentagon, as the company refuses to loosen AI safeguards for military use, drawing ‘red lines’ around mass surveillance and autonomous weapons.
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Google has outlined a plan to strengthen Chrome’s HTTPS security against future quantum-computing threats. Rather than expanding traditional X.509 certificate chains in Chrome with post-quantum cryptography, the company is developing a new model based on Merkle Tree Certificates (MTCs).
The proposal from the PLANTS working group seeks to modernise the web public key infrastructure. Under the MTC model, a Certification Authority signs a single ‘Tree Head’ covering many certificates. Browsers receive a lightweight proof instead of a full certificate chain.
Google said this structure reduces authentication data exchanged during TLS handshakes while supporting post-quantum algorithms. By decoupling cryptographic strength from certificate size, the approach seeks to preserve performance as stronger security standards are adopted.
The company is already testing MTCs with real internet traffic. Phase one involves feasibility studies with Cloudflare, while phase two, in early 2027, will invite selected Certificate Transparency log operators to support initial public deployment.
By the third quarter of 2027, Google plans to establish requirements for onboarding certificate authorities to the quantum-resistant Chrome Root Store, which exclusively supports MTCs. The company described the initiative as foundational to maintaining long-term web security resilience.
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A high-severity vulnerability in Chrome’s integrated Gemini AI assistant exposed users to the potential activation of the camera and microphone, local file access, and phishing attacks. The issue, tracked as CVE-2026-0628, was disclosed by Palo Alto Networks’ Unit 42 and patched by Google in January 2026.
Gemini Live operates as a privileged AI panel embedded within the browser, capable of web page summarisation and task automation. To enable multimodal functionality, the panel is granted elevated permissions, including access to screenshots, local files, and device hardware.
Researchers identified inconsistent handling of the declarativeNetRequest API when gemini.google.com was loaded inside the AI side panel rather than a standard browser tab. While extensions could inject JavaScript in both cases, the panel context inherited browser-level privileges.
A malicious extension exploiting this distinction could hijack the trusted panel and execute arbitrary code with elevated access. Potential impacts included silent activation of a camera or microphone, screenshot capture, local file exfiltration, and high-credibility phishing attacks.
Google released a fix on 5 January 2026 following responsible disclosure. Users running the latest version of Chrome are protected, and organisations are advised to ensure updates are applied across all endpoints.
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When Hayao Miyazaki dismissed early AI-generated animation as ‘an insult to life itself’ in 2016, the technology felt distant from mainstream creative work. Less than a decade later, generative AI tools produce images and text in seconds, reviving debate over authorship, copyright, and artistic identity.
In Japan, debate reflects both anxiety and ambition. Illustrators question the use of their work in training data, while policymakers and corporations see AI as vital to easing a projected labour shortfall by 2040. Legal provisions allowing data use for analysis have intensified calls for safeguards.
Public sentiment in Japan remains broadly favourable toward AI adoption. Surveys indicate relatively high levels of trust, with many viewing AI as part of long-term structural adjustment rather than an immediate threat. Economic expectations often outweigh concerns about disruption.
Workplace implementation, however, remains limited. OECD research shows only a small share of employees actively use AI tools, citing skills shortages and cautious corporate culture. Analysts describe a paradox: AI could ease labour pressures, yet adoption is constrained by limited expertise.
Creative professionals report more immediate effects. Surveys highlight income pressures and uncertainty among illustrators and freelancers. As deployment expands, Japan faces the task of balancing economic necessity with cultural preservation and fair access to emerging technologies.
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Twenty-five years after its launch, SharePoint has grown into one of Microsoft’s largest collaboration platforms, serving more than one billion users annually. The service now underpins vast volumes of enterprise content, with billions of files and millions of sites created each day.
Microsoft positions the platform as a foundational knowledge layer for Microsoft 365 Copilot. As the primary grounding source for Copilot, it contributes to the Work IQ intelligence layer, enabling AI tools to operate within an organisational context.
New agentic capabilities allow teams to build solutions using natural language prompts within governed Microsoft 365 environments. Custom AI skills package organisational standards, terminology, and business logic, helping ensure outputs align with internal policies and workflows.
AI-driven publishing features are now embedded across its web authoring tools. Organisations can plan, refine, and distribute content at scale while maintaining governance controls and consistent communication standards.
Content stored in SharePoint also powers semantic indexing and retrieval systems that support contextual discovery across Microsoft 365 applications. Microsoft says these capabilities enable more proactive knowledge surfacing and strengthen Copilot’s ability to deliver grounded responses.
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Thailand has published a draft public guidance document to help citizens use AI safely and responsibly. The ‘AI Guide for Citizens’ outlines key AI concepts, benefits, limitations, and practical examples for users engaging with generative AI tools.
Data safety is a central focus, with officials warning against entering personal identifiers, financial data, confidential information, or government secrets into public AI platforms.
The guide also details technical risks such as AI’ hallucinations,’ prompt injection, and data poisoning, advising users to verify outputs and treat AI as a support tool rather than a decision maker.
The guidance addresses ethical and legal responsibilities, warning against using AI to generate misinformation, deepfakes, or harmful content. It emphasises fairness and bias, noting AI systems can inherit human prejudices from training data.
Citizens encountering AI-related scams or harmful content are advised to collect evidence, report incidents to cybercrime authorities, and contact Thailand’s personal data protection agency if privacy is compromised.
The draft aligns Thailand’s AI policies with national rules and international standards, including ISO governance principles and the EU AI Act. The initiative aims to boost AI literacy and safeguards as AI becomes more integrated into daily life.
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Hundreds of academics urged governments to halt plans for mandatory age checks on social media, rather than accelerating deployment without assessing the risks.
The warning arrives as several European states consider restrictions on children’s access to online platforms and as companies promote verification tools such as live selfies or uploads of government-issued IDs.
Researchers argue that current systems expose people to privacy breaches, security vulnerabilities and malicious sites that ignore verification rules instead of offering meaningful protection.
They say scientific consensus has not yet formed on the benefits or harms of age-assurance technologies, making large-scale implementation premature and potentially discriminatory.
The letter stresses that any credible system would require cryptographic safeguards for every query, protecting data in transit rather than leaving identity checks to platforms without robust technical guarantees.
Academics believe such infrastructure would be complex to build globally and would create friction that many providers may refuse to adopt.
Concern escalated after early deployments in Italy and France, where verification is already mandatory.
Signatories, including Ronald Rivest and Bart Preneel, warn that governments risk introducing a socially unacceptable system that increases exposure to data misuse instead of ensuring children’s safety online.
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The social media platform, X, has introduced a new ‘Paid Partnership’ label that creators can attach to posts to show when content is promotional instead of leaving audiences unsure about commercial intent.
An update that improves transparency for followers while meeting rules set by the Federal Trade Commission, which expects sponsored material to be disclosed clearly.
Creators previously relied on hashtags such as #ad or #paidpartnership instead of an integrated disclosure option. The new feature allows users to apply the label through a content-disclosure toggle either during posting or afterwards.
X’s product lead, Nikita Bier, said undisclosed promotions damage trust and weaken the platform’s integrity, so the tool is meant to support creators and regulators simultaneously.
X has been trying to build a stronger creator ecosystem by offering payouts, subscriptions and other incentives. Yet many creators still favour Instagram or YouTube over X as their primary channel, because those platforms have longer-standing monetisation tools.
The addition of a built-in label aligns X with broader industry practice and aims to regain credibility among advertisers and creators.
The company has also tightened API access, preventing programmatic replies unless a user is directly mentioned or quoted.
A change that seeks to limit LLM-generated spam instead of allowing automated responses to distort discussions or appear as fake engagement beneath sponsored content.
X hopes these combined measures will enhance authenticity around commercial posts.
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As organisations expand across cloud environments, non-human identities are becoming a critical component of modern cybersecurity strategies. Managing machine identities and their associated secrets is increasingly central to reducing risk and improving AI-driven threat detection.
As digital infrastructure grows, machine identities function as secure access credentials for applications, services, and automated processes. Effective governance can reduce vulnerabilities, improve compliance, and streamline operations across sectors such as finance and healthcare.
Integrating non-human identities into AI security frameworks enables more contextual anomaly detection and improved visibility into network behaviour. Rather than relying solely on static scanning, organisations can adopt adaptive models that enhance predictive threat response.
Challenges remain, particularly around coordination between security, DevOps, and research teams. Gaps in collaboration and limited awareness of identity lifecycle management can create blind spots that weaken overall cyber resilience.
Automation is increasingly seen as essential for scaling non-human identity management. By automating secrets rotation, certificate renewal, and access reviews, organisations can strengthen governance while enabling security teams to focus on higher-value strategic priorities.
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