Eric Daimler

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(2/2) With data in any form—incl. Excel—there is now opp. to exch. data btwn contexts w/guaranteed semantic integrity. With applications in most every industry, the example in the technical paper shows the manifestly large savings for the energy sector.
(1/2) Collaboration among engineers often requires manual consensus. This is time-consuming, error-prone, and still requires over-engineering to account for uncertainty. With data in any form—including Excel—there is now opportunity to exchange data between contexts.
Congratulations @DrEugeniaCheng for yet another solid contribution to the field of #categoryTheory. This points toward how people can be engaged in our digital future. I am encouraging everyone to buy and read this book.…
I'm excited to be Keynoting at Setting a Science Agenda for UNGA78 and the UN Summit of the Future 2024 at Science Summit at United Nations General Assembly 77 (UNGA77) @sched
(4/4) Data relationships are expanding at an unfathomably large rate. Bringing that knowledge together, which is represented in those data relationships, and capturing it throughout an enterprise that guarantees the integrity of that meaning is what Conexus uniquely provides.
(3/4) What is less known than the quadratic explosion of data is that the data sources are also increasing quadratically. The tough part is in the data relationships. That is expanding unfathomably large rate. #categorytheory #composability #semanticintegrity
(2/4) Everybody's kinda gotten the memo we'd say about data being the new oil and all that. Data is growing quadratically. What is less known is that the data sources are also increasing quadratically. #categorytheory #composability #semanticintegrity
(1/4) Conexus' software is based on math at a foundational level. The domain of math is in Category Theory with its expression in semantic guarantees between databases. #categorytheory #composability #semanticintegrity
Global success needs global relations. @VisitOSLO has the promise to be one of Europe’s technology capitals. @OsloIW This is a room you want to be in! #oiw2022 How my name wants to spelled while in Oslo.
(3/3) Thanks @wkforum and @ericxing of @mbzuai for great discussion on future of #ai with our #AIrelay of sequential talks during the excellent conference. #categorytheory #aiethics #formalmethods
(2/3) Piece by piece we will encode our knowledge into categories that can be understood by computers.…
(1/3) Mathematics is more foundational than the syntax of programming languages. The more ‘formal’ representations required by math is the language of collaboration in the future.
Excited to be speaking @wkforum about the future of composability.…
Board a full Boeing 777 in thirty minutes? Oh yeah, it is @KoreanAir_KE
(5/5) So I lasted a year doing that before I dropped Stanford and then went back to Carnegie Mellon to finish up my PhD in CS.
(4/5) There are some things in school are legitimately hard. That was very hard to do two PhD programs at the same time. Even though they're somewhat complimentary, somewhat overlapping, that was tough.
(3/5) I did the really silly thing of enrolling at Stanford and then looking at Carnegie Mellon and say well, I think I'm going to do that, but I don't want to drop the Stanford program. So for awhile, I was actually enrolled in both. It was complete craziness.
(2/5) In the Stanford PhD program I was enrolled in, you start the PhD program and then for a year you are just on your own. You pay tuition and look for an advisor.
(1/5) Friday Career Reflections (Part 2 of 2): PhD programs are driven by research funding. I am grateful to have enjoyed the career success allowing me to find my own research funding. At Carnegie Mellon, that allowed a lot of freedom. At Stanford, not so much.
(5/5) For those looking to build skills in Public IT, the program will bridge the divide between areas like policy and tech, and provide additional instruction and training for those in gov't , or interested in working in related digital service areas.…
(4/5) When completed, students will earn the Public Interest Technologist Certificate of Completion. Cohort 1 launches this month.
(3/5) Each of the three component certificates, scheduled over a two-month period, will cover key topical areas tailored for public sector leaders, and be delivered via live distance learning by CMU faculty, government experts, and select industry practitioners.
(2/5) More from @chris Goranson: The six month program itself has three component certificates, covering Data Management, Digital Innovation, and AI Leadership.
(1/5) Congratulations to those at launching new certificate program for those building out their skills in Public Interest Technology to lead in digital service efforts for the public good.
(5/5) A better approach is consensus at the level of math. You can then create a universal data model without requiring consensus. Now query any which way a user wants!
(4/5) Blockchains require consensus. That is why many of these require the energy consumption of Ecuador. It's just resource inefficient.
(3/5) Can a database represent everyone's viewpoint in one world view without requiring consensus? This is just a complete mind shift from how most people have to operate in requiring consensus. Blockchains work that way.
(2/5) A deductive database allows for a database of viewpoints. In a relational database, this process is manual and prone to error. A deductive database is one of perspectives. Instead of a database of just data in a table, the data relationships become more important.
(1/5) We are entering a new era for deductive database. They have increasing utility over relational databases when the presenting problem is one of collaboration.
(9/9) With a lot of luck, I found myself in demand for taking some academic spin-outs and finding commercial opportunities for them. With a series of fortunate events that include wonderful collaborators, I am grateful for that all having played out pretty well so far.
(8/x) Spending a lot of years working with AI from different perspectives gave me a lot of useful exposure to provide value at the Board and Policy level. I had been a researcher, a venture capitalist, and an entrepreneur.
(7/x) At a particular time during the Obama administration, I just found myself with an appropriate background in AI to make a difference.
(6/x) Whenever people are entering their careers and wherever they find themselves relative to a technology lifecycle is important.
(5/x) Fortunate events: Somehow I was at the right age, at the right stage of where AI was. It was hot. I thought: "Maybe I can contribute something here." From a young age I was interested in AI and Robotics.
(4/x) Any technology that is invented after you turn 30 is against the law of nature. It shouldn't exist. It's horrible. It's really the young kids.
(3/x) Any technology that is invented between the time that you're 15 and 30 is technology upon which you think you might be able to build a career.
(2/x) There is a saying that I'll paraphrase: Any technology that was built before you turned 15 is just background. It's all stuff that's it's just part of the firmament.
(1/x) Friday afternoon career observations: At a young age, it became clear that Artificial Intelligence was a future that interested me. It was a future on which I could stake my career and it would be of interest....
I think of math & data as both existing ‘within logic’- data is ground facts (no quantifiers), math is formulae w/quantifiers. We trade different kinds of formula for each other & ask if large theory of small formula complexity is better than small theory of large complexity, etc…
I agree- that for many problems, such as understanding english, having more data beats having a more sophisticated model 99 times out of 100…
They like many of Conexus' customers found that the solution lie deeper than the computer science. Where me and my founders PhDs are. It lies in the math.
They then looked about how to solve this. What sort of commercial solutions existed to try to integrate the data or bring together these data models.
Those sort of every day, day-to-day business questions were really difficult for them to execute on when they then had 300,000 databases. This is a very rich company with very smart people with a Greenfield opportunity but still had a non-optimal IT infrastructure.
There is a lot more nuance to free speech advocacy than absolutism suggests.…
Vending machine in 2022 @HarvardHBS fitness center. Maybe a blind spot because there is no case study on how best to reverse gains from exercise.
(8/8) AI Foundational Models are likely to have as much practical application to most people’s business problems for the next decade as the physics of string theory. #ai
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