Blog
News and insights from the Aimable team

The Fable 5 Shutdown Is Your Warning Shot
Why a Single-Provider AI Strategy Is a Liability
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Fable 5, why retention is the new normal, and why data control starts today
Claude Fable 5 is out, and it deserves the attention it’s getting.
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Trusted Intelligence #4: We know the investment-memo grind first-hand. So we pointed AI at it.
What's happening in AI, from the team making it safe to use on sensitive data.
Read on SubstackWhat Surprised One Investment Platform About Their New AI Memo Generator
A Dutch AFM-regulated investment platform processes around 400 deals a year.
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9 of 20 AI notetakers for doctors fabricated symptoms and treatments out of thin air
Ontario just handed us a perfect case study for why AI without oversight is a liability, not an asset.
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Two labs, two joint ventures, one bet
Anthropic and OpenAI are bundling software and services. The interesting question isn't whether that works. It's whose side of the line the trust ends up on.
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Trusted Intelligence #3: We shipped the platform under the platform
What's happening in AI, from the team making it safe to use on sensitive data.
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OpenAI lost a monopoly this week. It went straight for the next one.
Microsoft and OpenAI ended their exclusivity on Monday. Hours later, news leaked that OpenAI is building its own phone. The race is no longer to win the model. It is to conquer the user.
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Storage is not intelligence. Structure is.
Why "throw it all in the prompt" is the same mistake as "file it all in SharePoint."
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The agent works on day one. The trouble starts in week three.
Field notes from three of my own quietly failing agents.
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Take a look in our Lab
Aimable Lab is a great way to share what we are cooking up
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GPT-Rosalind is great news
Ungoverned specialised AI is the same trust problem in a nicer suit
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The AI Act is a to-do list, not a stop sign
Pavle Bojkovski's annotated reading makes the shape of it obvious. Three things to put in place, and your team can finally use AI on the work that matters.
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Trusted Intelligence #2: Bart built Aimable into Excel this week
What's happening in AI, from the team making it safe to use on sensitive data.
Read on SubstackOur AIs Run the Household and the Business
Real experiences with personal, family, and business AI agents. What works, what fails, and why safety matters more than you think.
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The New Yorker just exposed OpenAI
Here's what it means for every organisation using AI
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Vitalik Buterin of Ethereum fame, runs AI on his own laptop
Here's why that matters for your organisation
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Anthropic stopped covering OpenClaw in Claude subscriptions
Here's how AI pricing actually works
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Introducing the Aimable Newsletter
A weekly look at AI through the eyes of the team building Aimable. What we're seeing, what we think about it, and what it means for organisations using AI on sensitive data.
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Trusted Intelligence #1 - What’s Happening in AI
A look at AI through the eyes of the team building Aimable.
Read on SubstackWe stopped writing prompts. We started recording conversations.
No consultants. No workshops. Just conversations, a phone recorder, and iteration.
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Software isn't dying. But a lot of software companies are about to find out they were never essential.
AI doesn't kill all software. It exposes which software was worth paying for and which was just expensive enough to tolerate.
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Your AI assistant can be turned against you with a hidden line in an email
Researchers demonstrated a prompt injection attack against Microsoft Copilot. Hidden instructions in emails make the AI generate phishing links and exfiltrate internal data.
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WebMCP: the web just became agent-ready. Now what?
Google shipped WebMCP as a browser API in Chrome 146. It changes how agents interact with websites, and raises new questions about governance.
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On-prem never left. We just stopped talking about it.
The same pattern that played out with cloud infrastructure is repeating with AI. Not everything belongs in someone else's cloud.
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A US judge ordered OpenAI to hand over 20 million ChatGPT logs. That checkbox didn't help.
Turning off training doesn't mean your data is safe. A federal court just proved it.
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Where AI gets its facts, and why that's a problem for your business
Over 40% of LLM citations come from Reddit. If your organisation relies solely on public models, you're exposed.
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Splitting wood, thinking about watts per query
A day in the forest with the team gave me perspective on the energy footprint of AI, and why local model efficiency matters more than we think.
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