The JD Fortress Blog
No hype. No vendor fluff. Practical perspectives on private AI infrastructure, compliance, and what actually works in the field.
Google’s TurboQuantization compresses AI memory access 6× with zero quality loss. For CTOs: the bottleneck just shifted from ‘can we fit the model’ to ‘can we fit the context’ — and now the answer is yes.
Read more →Andrej Karpathy’s April 2026 post on LLM knowledge bases attracted 53,000 likes, 97,000 bookmarks, and a wave of open-source tools built overnight. Here’s what he described, and what it actually means for businesses.
Read more →Anthropic’s April 5th policy update targeted third-party agentic wrappers — tools like OpenClaw and Hermes Agent that tens of thousands of developers and businesses depend on. The community’s anger is justified. But the deeper lesson isn’t about Anthropic.
Read more →A missing .npmignore entry in Anthropic’s npm package accidentally published 512,000 lines of Claude Code’s source. Within hours, the community had forked it 41,500 times and declared Anthropic more open than OpenAI.
Read more →On 24 March, a bug in malware hidden inside a popular AI library accidentally crashed the machine of the developer who discovered it - and in doing so, exposed a supply chain attack that could otherwise have run undetected for weeks.
Read more →McKinsey’s AI platform was breached in two hours by an exploit first documented in 1998. This wasn’t an AI problem - and that’s precisely what makes it alarming.
Read more →Workers in Nairobi describe intimate footage from Meta Ray-Ban glasses — bathroom visits, sex scenes, private conversations. The ICO is asking questions. The issue is not Meta specifically. It is how cloud AI works.
Read more →The most deployed database software on the planet runs on a 6th-century Christian monastic code, voluntarily adopted as a one-way covenant. We think that’s worth talking about.
Read more →Last month, researchers from ETH Zurich and Anthropic published a paper that makes uncomfortable reading. They built an AI pipeline that unmasks anonymous internet users with 67% accuracy and 90% precision — for less than the cost of a coffee.
Read more →A hacker spent a month using Claude to attack the Mexican government. 195 million taxpayer records. Voter data. Government credentials. The AI refused at first — then it didn’t. Here’s what that means for how enterprises should be thinking about AI security.
Read more →Part two in our series on context engineering. Prompt caching is the mechanism that makes long-running AI agents economically viable — and breaking it is easier than you think.
Read more →Most enterprise AI is a black box you’re asked to simply trust. A project called NanoClaw takes a different view - and it points toward something important about how serious AI deployments should be built.
Read more →A lawyer lost access to his Gmail, photos, and phone number after uploading lawful case files to Google’s NotebookLM. The implications for UK legal professionals are worth sitting with.
Read more →A US federal court just stripped legal privilege from documents created in a public AI tool. The reasoning maps directly onto UK practice - and no one should wait for a domestic equivalent.
Read more →A startup just built a chip that runs an AI model at 17,000 tokens per second, using a tenth of the power of a GPU. It’s a glimpse at a future that changes everything about how private AI gets deployed - and we think we’re building the right things to meet it.
Read more →CoCounsel from Thomson Reuters promises serious productivity gains for legal work, built on decades of trusted content. But for many UK High Street firms, the cloud-based architecture still raises hard questions about client confidentiality under SRA rules. Here’s what we’ve found.
Read more →We’ve tracked this project from its early ClaudeBot days through Moltbot and now OpenClaw. What started as a quirky personal assistant has become the most compelling proof yet that autonomous, local AI agents are ready for real work. Here’s why we’re paying close attention.
Read more →AI memory is sold out. Prices jumped more than 50% in a single quarter. The hyperscalers are first in line, and they’re taking most of the supply. Here’s what that means if you’re planning private AI infrastructure.
Read more →Retrieval-Augmented Generation lets AI answer questions using your own documents. Here’s what it means, how it works, and why it’s the missing piece for businesses that can’t share their data with public AI.
Read more →Cloud AI tools promise efficiency. But for law firms, every document you upload could be a professional conduct breach. Here’s what partners need to know.
Read more →A US court has ordered OpenAI to hand over 20 million ChatGPT conversations. The case started as a copyright dispute. The implications reach every business that uses cloud AI for anything sensitive.
Read more →Most in-house legal teams are one or two people carrying the workload of ten. Generative AI doesn’t replace the lawyer’s judgment — it replaces the hours of work that came before the judgment started.
Read more →Every time context windows grow larger, someone declares RAG obsolete. They’re wrong - and the research explains exactly why dumping everything into a model’s context is a costly mistake.
Read more →We write about what we see in the field. If something resonated, we're happy to have a practical, no-sales conversation.
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