Father of 2 great kids. Cofounder and CEO of Teacherspace and former Cofounder at Teach First Danmark.
Passionate about education, tech, Italy and A.C Milan.
Jeg er så meget boomer at jeg både tager noter i hånden og halvgode billeder af slides, men rigtig gode oplæg til #BUTM26@CKrzyrosiak talte om både at udfordre rammerne og politisk ledelse
@KnudsenLisbeth talte om tydelig forventningsafstemning og større individualisering
Jeg er med Teacherspace på Børne og Unge Topmøde og som jeg husker det er det bedste morgensang med nogle af de lokale elever.
Jeg glæder mig til nogle gode dage med samtaler om sikker brug af AI
#BUTM26
This is the best analysis I’ve read about Trump’s alignment with Putin, and the future for Ukraine and Europe
And it accords with my optimism. On the ground, Ukraine and Europe can resist the globalist oligarchs
https://t.co/X9cfT32cgk
@SnellArthur
Benedict Evans' new presentation just dropped: "AI eats the world"
90 slides on macro and strategic trends in tech.
His biannual overview is always worth the time:
https://t.co/GV4ga5Wo1S
In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before.
I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before.
Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent.
This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects.
And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on.
If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale.
And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.
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En lille vittighed her i starten af min influenza
Hvad er ligheden mellem mit 3 personers firma og Nordic Waste? ........
Ingen af os har nogen profesionnelle kommunikationsfolk eller public affairs folk ansat 😛