
Founder of @kedehub Inventor of KEDE; Entrepreneur; Investor; Publisher; Author;
Bulgaria
Joined April 2009
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Knowledge Discovery Efficiency (KEDE), quantifies the knowledge gap a human needs to bridge for completing a task. Besides, KEDE is pronounced [ki:d].
When individual capability exceeds task complexity, the knowledge gap is too narrow, leading to wasted potential and boredom. Conversely, a wide knowledge gap, where tasks are too complex, leads to stress and lower productivity. An optimal gap keeps humans in a state of Flow, leading to higher productivity and job satisfaction.
Imagine typing the word: "Honorificabilitudinitatibus", from Shakespeare’s "Love's Labour's Lost". To calculate KEDE, we track the process, of typing this word
Each time interval, if I know what letter to type, mark "1". If I'm unsure, and need to check the spelling, mark "0".
I begin by reviewing the word, and this takes me two time intervals. Then, I confidently write: "Honor", then hesitate. After checking, I write: "ificabi", hesitate again, then write: "lit", check, write: ‘udi’,check, write: ‘ni’,check again, and finally write: "tatibus".
What results is a sequence of ones and zeros, alongside our word. The ones represent existing knowledge; the zeros, moments of knowledge discovery. The resulting Missing Information is 0.41 bits. The KEDE score is 71.
In short, tangible output, like our word, indicates applied knowledge. The ones and zeros are the journey of discovery.
This exercise illuminates the process behind KEDE calculation.
Towards Scaling Laws for Coding Agents vizops.ai/blog/agent-scaling… via @vizopsai
Dimitar Bakardzhiev retweeted
"Whenever you try to catch a wave, you're almost always too late."
- Jeff Bezos
#Business #Startups #Technology #Innovation #Inspirational #JeffBezos
#14 Dimitar Bakardzhiev - Measuring the Knowledge Gap youtu.be/5zCY5wwIrRM?si=NDZt… via @YouTube
The dichotomy method, also known as the method of division in halves, involves systematically scanning a defined space or interval by repeatedly dividing it into smaller halves. This process continues until a desired level of precision or a solution within the space is found.
Replying to @10X_AI_
1. The "No Failure" Research Method
@demishassabis said:
"There's no such thing as failure in blue sky research as long as you're picking experiments that meaningfully split the hypothesis space."
Takeaway: Design tests where success AND failure both teach you something valuable.
Dimitar Bakardzhiev retweeted
Replying to @ChrisFriedler
The trick is to seek good explanations, not someone to believe.
Dimitar Bakardzhiev retweeted
Devs: oh I better not incur too much expense from this new code AI tool or I’ll get in trouble
CEOs: let me go to my LLM usage dashboard, sort by cost descending for the month, and celebrate the dev AI power users
Dimitar Bakardzhiev retweeted
Perplexity CEO Aravind Srinivas says AI will mean the marginal cost of research trends to zero, so the value will be in asking the best questions
Dimitar Bakardzhiev retweeted
“In short, as Albert Einstein put it in 1926: ‘Whether you can observe a thing or not depends on the theory which you use. It is the theory which decides what can be observed.’”
aeon.co/essays/are-humans-re…
Dimitar Bakardzhiev retweeted
That one time @DavidDeutschOxf spoke to Richard Feynman:
“We had a wide-ranging conversation, mostly about quantum theory and computation, but we deviated a bit to talk about physics generally.
And I said that physics seems to have slowed down, and he said, “There will be no more great physicists.” And I was like, “Oh, what makes you say that?” Because I wasn’t thinking like that at all, because I was lucky enough to be among several of them and learning from them.
And he said, there will be no more of them. So I said, why? And he said, “Well, because of physics education.” He didn’t put it in exactly the way that I would today, but it was that it was very narrow, and everybody was taught to do the same thing.
I don’t think he had any objection to this concept of being taught a thing or to have a curriculum, but he thought it was becoming narrower and narrower. And the reason it’s becoming narrower is because that’s the only way you can base it on exams. And if you want to have a world in which most people go to university, let’s say, then you need to have standards for going to university. And these standards have to be determined by exams, otherwise it’s unfair. And if they’re determined by exams, they have to be determined by a uniform curriculum.
When I was in school, there was no national curriculum. Every school had its own curriculum. There were dozens of different examination boards that set exams, and each school could choose: we’ll have this board for physics, and we’ll have this board for history, according to what the teachers in the school thought was a good idea to force their pupils to learn.
So that part of it wasn’t the way I would have it. But the state didn’t take a view, and most importantly, it didn’t take a uniform view that everybody in the country had to learn this thing. And that was the thing that Feynman was objecting to—that everybody in the country learning the same thing. And by the time they get to university and by the time they’ve done an undergraduate degree, they’ve learned to become proficient. I mean, those that pass through the sieve and eventually get to become physicists or something, they have all learned how to do the same thing in the same way. And that’s going to put a damper on doing things a different way, a new way.
Of course, Feynman, in his life and in his research career, was constantly doing things in a new way, in ways that people didn’t approve of. And I think, well, I’m not a pessimist, so I don’t think there aren’t going to be any more great physicists. I’m expecting that there are, because I’m expecting that the Enlightenment will spread to educational theory as it has spread to many other aspects of life.”
Dimitar Bakardzhiev retweeted
You probably know some people who air their grievances like every day is Festivus.
It turns out that this is a strategy that selfish people often use to signal virtue without having to model it.
A good manager is almost twice as valuable as a good worker linkedin.com/pulse/good-mana…
Dimitar Bakardzhiev retweeted
Today I released a new paper called “Allocative Skill” with Andrew Caplin, @leth_soren, and @weidmann. We introduce a new way to measure the quality of economic decision-making called the Assignment Game. Play the game here!
skillslab.dev/assignment-gam…
1/x
Constructor Theory: Redefining Knowledge and Innovation in Software Development linkedin.com/pulse/construct…
Project Management : A Knowledge-centric approach linkedin.com/pulse/project-m…
Dimitar Bakardzhiev retweeted
Sales, revenue and growth are the fuel,
the foundation of culture.
No amount of culture can help motivate employees in a startup thats not growing.
Scrum: A Knowledge-centric perspective linkedin.com/pulse/scrum-kno…
Early decisions in software development are often made with limited knowledge, increasing risks as the project progresses. This is known as the project paradox.
Check out my latest article: The Project Paradox: A Knowledge-Centric Perspective linkedin.com/pulse/project-p…
















