Marcin Abram

Physicists and Machine Learning Researcher. Postdoctoral Scholar at the University of Southern California. Researcher at Information Sciences Institute.

[Marcin Abram @marcin_abram]

During the meeting, I will describe the common pitfalls and best practices for working with Large Language Models (LLMs). After completing the webinar, you will be able to design a conversational search application and deploy a simple Retrieval-Augmented Generation (RAG) system.

[Marcin Abram @marcin_abram]

Join my upcoming webinar on Tuesday, October 8, at 11 am BST / 12 pm (noon) CETS. We'll explore how to leverage the newest machine-learning advances to organize and transform unstructured data, bringing order to your data chaos. Registering today at https://t.co/vBKPpImLMw

[Marcin Abram @marcin_abram]

@GermanCryptoInv @jonathan6620 No, you can not. However, to be frank, you can predict signals that can indicate that a quantum jump is about to occur, cf. recent paper by Minev 2019, https://t.co/Z3NG1LS9dg - but it only works in small time scales. Those jumps are completely unpredictable in the long term.

[Marcin Abram @marcin_abram]

@jonathan6620 @crypto_hal Fully agree. Besides, you don't have to even go into quantum mechanics. There exist classical (Newtonian) systems where non-deterministic behavior is present, e.g., see the "Norton's dome" by J. D. Norton in 2006: https://t.co/6Bx7PWMTA2

[Marcin Abram @marcin_abram]

@rperezmarco @CGrunspan I was really impressed by your work. Clever approach and beautiful analytic results. You both presented it in reality interesting way. What can I say more? Thank you for your hard work and for advancing science.

[Marcin Abram @marcin_abram]

An interesting twist to the BFT protocol presented by Dr D. Malkhi. By accepting a small liveness tradeoff, the protocol can accept a larger proportion of alive-but-corrupt (a-b-c) adversaries. More in https://t.co/n9VlJGQIDS #blockchain #research #security #BFT #tokenimics

[Marcin Abram @marcin_abram]

Privacy in blockchain? An interesting approach presented by Dr D. A. Nagy. More on https://t.co/JJfhuHVnJe #blockchain #research #cryptography #privacy #coinmixer #tokenomics

[Marcin Abram @marcin_abram]

Literature recommendation by Prof. A. Canidio from his lecture "Financial Incentives for Open Source Development: The Case of Blockchain". #blockchain #research #tokenomics

[Marcin Abram @marcin_abram]

Literature recommendation from Prof. R. Garratt from his lecture "Entrepreneurial Incentives and the Role of Initial Coin Offerings". #blockchain #research #incentives #ICO #economy #tokenomics

[Marcin Abram @marcin_abram]

Literature recommendation by prof. L. W. Cong (part 3/3). #blockchain #research #economy #tokenomics

[Marcin Abram @marcin_abram]

Blockchain Impact and Applications literature recommendation by Prof. L. W. Cong (part 2/3). #blockchain #research #applications #economy #tokenomics

[Marcin Abram @marcin_abram]

Blockchain Economics & Mechanism literature recommendation by prof. L. W. Cong (part 1/3). #blockchain #research #economy #tokenomics

[Marcin Abram @marcin_abram]

Interesting ideas related to parallel execution of smart contracts presented by V. Saraph #blockchain #research #throughput #concurrency #tokenomics

[Marcin Abram @marcin_abram]

Prof. C. Grunspan and Prof. R. Pérez-Marco presented an anaclitic formula describing selfish mining strategy. Previously selfish mining was simulated using Markov Chains. More on https://t.co/3gsDxT5RHx #blockchain #research #security #SelfishMining #tokenomics

[Marcin Abram @marcin_abram]

Literature recommendations by Prof. C. Casamatta from her lecture "Equilibrium Bitcoin Pricing". #blockchain #research #economy #tokenomics

[Marcin Abram @marcin_abram]

Together with my colleague Daniel Honerkamp we presented in Paris a minimal agency consensus protocol developed by @fetch_ai that reduces the monopolistic power of the blockchain round-leader. #tokenomics #tokenomics2019