Julian Origliasso

Accounting, virtues & imagination 🧮 | Policy, tech and moral systems 🤖 | Catholic faith & sci-fi vision 🚀

[Julian Origliasso @JulesOrigliasso]

I just published Semantic Program Markup Language:

https://t.co/iFPKjnchPr

[Julian Origliasso @JulesOrigliasso]

I just published Buzzword Bingo, Thematic Firings, and Other Games That Are Played https://t.co/J2XnpWJi41

[a16z @a16z]

Narrative violations abound:

- Demand for software engineers is rising
- Software devs are rising as a share of new jobs
- AI exposed industries are seeing above-trend wage growth
- Open PM jobs haven't been higher since 2022

More from a16z's David George on the "AI job apocalypse" myth: https://t.co/7sbadmEElG

[Julian Origliasso @JulesOrigliasso]

@AlanKohler @abcnews There’s a bunch of interesting things in this. I think the main thing to take away from this is:
1. AI is here to stay.
2. There will be job losses.
3. There will be new job categories created.
4. Qualities outside of currencies should become standard measures within economics.

[Julian Origliasso @JulesOrigliasso]

@r0ck3t23 It’s a measurement problem. When technologies that are reducing time spent on things save time, it won’t show up in GDP as well. It should show up in time measures. We don’t measure them in economics as much as we perhaps should.

[Haider. @haider1]

Demis Hassabis says AI will create new sciences around understanding AI itself

As AI systems become more complex, studying how they work could become its own engineering science

AI-powered simulations may also unlock new progress in uncertain fields like economics and social systems

[Sundar Pichai @sundarpichai]

Hello. How are you? Thank you. I love you. Please.

Some of the most frequently translated phrases of the past 20 years!

Google Translate began twenty years ago with a mission to help people understand one another, regardless of the language they speak. What started as a small experiment has become a global tool that helps over 1 billion users every month.

In that time Translate has evolved from simple pattern matching to true understanding. In 2006, it relied on statistical machine learning to look for patterns in small word clusters. By 2016, we pioneered a shift to neural networks to move beyond literal word-for-word translations, and today we’re using our powerful Gemini models to make Translate even more helpful.

We are moving from text to fluid, real-time conversations. With our latest models, you can even use your headphones as a personal interpreter that preserves your original tone and cadence - it’s an amazing experience!

One of the interesting things about AI is that as we make progress, we begin to take it for granted. If you met a person who could translate across a hundred languages faster than any human can, you would be so impressed. Today, one product does that for nearly 250 languages, and we kind of just shrug.

Being able to say thank you in 250 languages is not something I take for granted. So to the 1 billion who use Google Translate - merci, dhanyavaad, arigatō, gracias, and thank you! Let’s see what the next 20 years will bring.

[Julian Origliasso @JulesOrigliasso]

GDP remains one of the most important measures in economics, but it was never designed to measure the full reality of the modern economy.

Today, value is created through organisations, occupations, time, natural capital, capability, care, trust, computation, and human wellbeing — not money alone.

In this article, I explore why the next generation of economic accounts needs to move beyond a single national output number and toward a broader, multi-unit framework for measuring the real economy.

https://t.co/1wg93ruDf0 via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

Amazon Link: https://t.co/VX4Av2fs1E

https://t.co/38TNe95jIf via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

As AI and robotics move deeper into the workplace, a strange accounting imbalance is emerging. When companies buy machines, software, or automated systems, they are often treated as capital: recognised, measured, depreciated, and connected to future value. But when companies develop people, build judgement, train teams, and strengthen organisational knowledge, much of that capability is still treated as cost. This article explores why that matters, how it could distort valuations and workforce decisions, and why the future of accounting needs a better way to measure both human and machine capability.

https://t.co/ex5Cz7f94W via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

In the automated economy, companies increasingly measure machines better than they measure people. Robots, software, and automation systems can be recorded as capital assets, while human capability is often reduced to wages, training costs, and payroll expense. This creates a serious accounting blind spot. If organisations cannot properly measure the skills, judgement, knowledge, and experience inside their workforce, they may mistake headcount reduction for progress and automation for capability. The real challenge is not whether companies should use robots or AI. The challenge is whether our accounting systems can recognise the human capability that still makes organisations valuable.

https://t.co/iWncxDL1yC via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

Money is not the economy. It is one measurement layer inside it.

My new article introduces Graph Economics: a multi-unit measurement framework for the real economy.

Time, work, quality, capability, trust, care, emissions, and wellbeing should be measured too.

https://t.co/plQJFqXXEo

[BH @brendenvonhouse]

Hyper Australia

It’s time to build

[Pope Leo XIV @Pontifex]

The Catholic Church has consistently taught that each human life, from the moment of conception until natural death, is sacred and deserves to be protected. Indeed, the right to life is the very foundation of every other human right. For this reason, only when a society safeguards the sanctity of human life will it flourish and prosper.

[Ethan Mollick @emollick]

We really need a better word for the good kind of AI psychosis, the one where someone goes into a fugue state with the latest model and returns 40 days later from the mountaintop with something new.

[a16z @a16z]

Tech's ascendancy

https://t.co/Uxfyhxeo8q

[Julian Origliasso @JulesOrigliasso]

Why the market is proven for Balance.

Balance is building a new category of business software: Graph Accounting and Performance Workflow.

Traditional accounting tells an organisation where the money went. Balance goes further by connecting money, work, time, quality, evidence, people, customers, obligations, and outcomes into one governed performance architecture.

The idea is simple: work creates events, events become journals, journals update ledgers, and ledgers produce explainable statements for better decisions.

Balance is for organisations that have outgrown disconnected spreadsheets, dashboards, workflow tools, and reporting systems — and need a clearer way to prove what happened, why it matters, and what should happen next.

https://t.co/87SlgzdcQq

[Julian Origliasso @JulesOrigliasso]

Check out my latest article: Community Equity Pools: What If the People Who Build the Ecosystem Could Own Part of It?

https://t.co/TsVdaS2JDY via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

Check out my latest article: Startup Mortgages: Patient Capital for Companies That Should Not Be Forced to Become Venture Rockets

https://t.co/abt5qZcjYT via @LinkedIn

[Julian Origliasso @JulesOrigliasso]

Check out my latest article: Outcome-Based Capital: Funding Startups for What They Actually Prove

https://t.co/XHJqQatsAN via @LinkedIn