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𝐖𝐡𝐚𝐭 𝐈𝐟 𝐘𝐨𝐮 𝐃𝐢𝐝𝐧’𝐭 𝐇𝐚𝐯𝐞 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐅𝐢𝐫𝐬𝐭?

Before you can really use a new tool, you usually have to learn how it works. AI is starting to change that.

On September 16, Anthropic announced that several Claude tools are being brought into one interface, so the system can work out what a task needs from what the user is asking it to do.

Microsoft is developing AI agents that can work through websites and desktop apps from a simple instruction, while Google is experimenting with interfaces that adapt to the request itself.

The interface won’t disappear, but you won’t always have to figure it out on your own. AI can guide you through it as you go.

That only works properly if the AI understands what you’re trying to do. Google researchers testing AI assistance in complex software found that models still struggle with user intent and knowing when help is actually useful.

ARES AI is being developed around that same role inside SourceLess: helping users search, navigate and work across connected services with more context around what they’re trying to accomplish.

𝐓𝐡𝐞𝐧 𝐀𝐈 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐥𝐞𝐬𝐬 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐭𝐡𝐢𝐧𝐠 𝐭𝐨 𝐟𝐢𝐠𝐮𝐫𝐞 𝐨𝐮𝐭 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐡𝐞𝐥𝐩𝐬 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐞𝐥𝐬𝐞.

#ARESAI #SourceLess #ArtificialIntelligence #AI #Technology
𝐒𝐡𝐨𝐮𝐥𝐝 𝐚𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐇𝐚𝐯𝐞 𝐈𝐭𝐬 𝐎𝐰𝐧 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲?

A year ago, Anthropic says it would’ve rejected giving Claude enough access to take down one of its internal services. Today, that level of access is normal in some of its development work.

Anthropic also found that users approved roughly 𝟗𝟑% 𝐨𝐟 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 𝐩𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐩𝐫𝐨𝐦𝐩𝐭𝐬. The more prompts people saw, the less attention they paid to each one.

𝐍𝐈𝐒𝐓 — 𝐭𝐡𝐞 𝐔.𝐒. 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 — is now looking at how an AI agent should be identified, what authority it has, what it can access, and how its actions can be audited.

Permissions are becoming part of digital literacy. People need to understand what their AI tools can access, what that access allows them to do, and how to change or remove it.

𝐀𝐑𝐄𝐒 𝐀𝐈 is designed to provide contextual guidance, automation, personalization and real-time assistance across the SourceLess ecosystem.

As more SourceLess services connect to ARES, users should be able to see exactly what it can access, change those permissions and remove them when they want.

#ARESAI #SourceLess #ArtificialIntelligence #AIAgents #DigitalIdentity #Technology
𝐀𝐈 𝐃𝐨𝐞𝐬𝐧’𝐭 𝐈𝐧𝐡𝐞𝐫𝐢𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲

“𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐭𝐚𝐤𝐞 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐨𝐫 𝐭𝐡𝐞𝐢𝐫 𝐜𝐫𝐞𝐚𝐭𝐢𝐨𝐧𝐬.”
(Mark Coeckelbergh, 𝘈𝘐 𝘌𝘵𝘩𝘪𝘤𝘴)

Long before artificial intelligence existed, humans were already telling stories about artificial beings escaping from their creators. The Golem, Prometheus, Frankenstein, and later the machines of R.U.R. or HAL in 2001: A Space Odyssey all touch on some version of this fear.

Coeckelbergh’s reading of Frankenstein puts the responsibility of the creator into focus. Victor Frankenstein creates something powerful, then fails to take responsibility for what follows.

We’re delegating more and more to systems - from recommendations and predictions to analysis and even parts of decision-making. But responsibility can’t be delegated in the same way. It has to stay with us.

Since 2 August 2026, the EU AI Act requires certain AI systems to make clear when people are interacting with AI or encountering AI-generated content. For high-risk systems, it also requires human oversight, including the ability to intervene and override outputs.

𝐀𝐑𝐄𝐒 𝐀𝐈 is being developed inside the same SourceLess framework: user ownership, privacy, data minimisation, no exploitative use of personal data, and clear principles around transparency and accountability.

ARES can retrieve information, analyse data, generate content, automate repetitive tasks and guide users through SourceLess workflows.

Try ARES AI inside the SourceLess ecosystem:
www.aresai.tech

#ARESAI #ArtificialIntelligence #ResponsibleAI #AI #HumanAI #Technology #SourceLess
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