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On VP Duterte Impeachment #001: “Kapag ang isang empleyado ay nagkamali sa paggamit ng pera ng kumpanya, siya ay pinagpapaliwanag. Kapag ang isang barangay treasurer [ay] hindi maipaliwanag ang nawawalang pondo, siya ay iniimbestigahan. Kapag ang isang principal ay naglustay ng pera ng bayan, kahit limang libo lang iyan, siya ay pinaparusahan. … Kung ang ordinaryong PIlipino ay pinapanagot, bakit hindi ang pinakapangyarihang opisyal ng pamahalaan?“ Watch the full opening statement of the prosecution here: https://www.youtube.com/watch?v=loi8W9xBR3c
I wonder how Intellegal stacks up against existing solutions such as http://Anycase.ai and Legaldex. Worth watching closely. https://technology.inquirer.net/147567/intellegal-launches-verifiable-ai-legal-research-assistant-for-philippine-legal-professionals
The "how" of software development is becoming commoditized and cheap. Knowing "how" to build software is quickly becoming zero value due to AI. The value is now on "why" we build software (as a solution to the specific needs of specific industries) and on "what" components need to be built as actual solutions to industry-specific problems. One cannot be a generic software engineer anymore in 2026. One needs to be a niche software engineer in a specific field with knowledge of the business domain (in my case, law) to retain value.
Eric Xiyu Li revises his earlier "10X lawyer" thesis to "3X lawyer," arguing that while AI excels at overhead, drafting, and analysis, the limits of verifiable legal judgment and irreplaceable human trust mean current AI in law delivers roughly threefold productivity gains rather than the revolutionary leap seen in engineering.
Ryan McClead argues that the legal industry's "token cost panic" doesn't hold up to actual math: even under worst-case assumptions (1,000x agentic token multiplier, no caching, doubled prices), AI compute costs remain a small fraction of deal fees, and the real reasons to optimize token usage are data minimization, output quality, latency, and environmental impact, not cost.
As employees quietly deploy unauthorized AI tools to accelerate their workflows, organizations face a critical turning point where they must move past absolute bans and instead implement robust, proactive data governance to secure the new frontier of corporate intelligence.
In this short video, Rickie Ho briefly predicts how social hierarchy and distinction remain in a world run by Universal Basic Income.
UNESCO's AI-in-courts guidelines are no longer abstract - with eCourt PH now live and mandatory, Philippine government lawyers have a stake in shaping the international benchmark their own system will be measured against.
Under NPC Advisory No. 2026-01, the National Privacy Commission explicitly rules that publishing data on public social media channels does not constitute implied consent for web scraping, thereby mandating a valid lawful basis under the Data Privacy Act for all automated data extraction and downstream AI training operations.
In his analysis, Robert Plotkin argues that generative AI will displace the mass market for commoditized legal labor, drawing a historical parallel to how the Industrial Revolution phased out mass-market human tailors while leaving only elite, bespoke artisans who provide highly customized, high-end strategy.
I went from asking simple coding advice from ChatGPT and Gemini to giving Cursor the keys to my AWS account.
Learn how to build an AI image search engine that auto-labels photos - no manual encoding needed. Upload, and let the system do the rest.
How IT Graduates Can Survive and Thrive in the Artificial Intelligence Era
A Step-by-Step Guide on Deploying and Hosting Hugging Face 🤗 Models on AWS SageMaker Serverless
Let's build a simple RAG solution using Bedrock and Django. This is a great introductory project when trying to learn more about Large Language Models and AI Integration.