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marcelsalathe

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YC W14 founder, EPFL prof, co-founder of www.AIcrowd.com

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www.youtube.com 1y ago

Living off Microsoft Copilot – talk on AI vulnerabilities at Blackhat 2024 [video]

marcelsalathe
2pts0
github.com 2y ago

GLM-4-9B: open-source model with superior performance to Llama-3-8B

marcelsalathe
66pts17
www.youtube.com 2y ago

Mistral AI co-founder and CTO: Frontier AI in your hands [video]

marcelsalathe
3pts0
www.science.org 2y ago

Friendship paradox improves health outcomes in randomized controlled trial

marcelsalathe
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writings.stephenwolfram.com 2y ago

Stephen Wolfram: Why does biological evolution work?

marcelsalathe
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www.economist.com 2y ago

Universities are failing to boost economic growth

marcelsalathe
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engineeringprompts.substack.com 2y ago

Move fast and forget your mission: What the OpenAI coup tells us

marcelsalathe
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journals.plos.org 2y ago

Significant improvement of chronic tinnitus with a smartphone app (RCT)

marcelsalathe
2pts0
engineeringprompts.substack.com 3y ago

Artificial Intelligence: What to Worry About

marcelsalathe
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www.aicrowd.com 3y ago

HackAPrompt competition: The first ever prompt hacking competition

marcelsalathe
2pts0
digitalepi.substack.com 3y ago

How useful is OpenAI's new AI detection tool?

marcelsalathe
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share.streamlit.io 3y ago

Efficient detection of AI generated text

marcelsalathe
2pts1
digitalepi.substack.com 3y ago

Bring Back Google Flu Trends

marcelsalathe
2pts0
www.nature.com 3y ago

Nanoparticle-modified microrobots for antibiotic delivery to treat pneumonia

marcelsalathe
1pts0
blog.mlcontests.com 5y ago

Winning at Competitive ML in 2021

marcelsalathe
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www.swissinfo.ch 6y ago

Swiss researchers to lose access to Springer Nature journals over OA

marcelsalathe
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www.arcticworldarchive.org 6y ago

Arctic World Archive – data storage that will last for centuries

marcelsalathe
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github.com 7y ago

Winning RL Solution to the Unity Obstacle Tower Challenge

marcelsalathe
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medium.com 7y ago

An Illustrated Introduction to APIs

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medium.com 7y ago

Becoming a Junior Developer in 2019

marcelsalathe
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medium.com 7y ago

Scraping web data with R and the Tidyverse

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blog.aqnichol.com 7y ago

Prierarchy: Implicit Hierarchies

marcelsalathe
35pts1
amplitude.engineering 7y ago

A single PostgreSQL config change improved slow query performance by 50x

marcelsalathe
7pts1
spark-in.me 8y ago

How to improve your CNN performance with self-supervised techniques

marcelsalathe
3pts0
medium.com 8y ago

Moving from CarrierWave to ActiveStorage in a Rails App

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www.youtube.com 8y ago

Dynamic Deep Learning: A Paradigm Shift in AI (by Facebook's Soumith Chintala)

marcelsalathe
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medium.com 8y ago

Encoding categorical variables in practice

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4pts0
medium.com 8y ago

Run, skeleton, run! How to obtain 3rd place in NIPS '17 RL challenge

marcelsalathe
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medium.com 8y ago

Our NIPS 2017 “Learning to Run” Approach

marcelsalathe
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www.nytimes.com 8y ago

Instagram photos reveal predictive markers of depression

marcelsalathe
2pts0

I see your point, but something still seems different. Yes we bred plants and animals, but we did not create them. Yes we did build steam engines before understanding thermodynamics but we still understood what they did (heat, pressure, movement, etc.)

Fun fact: we have no clue how most drugs works. Or, more precisely, we know a few aspects, but are only scratching the surface. We're even still discovering news things about Aspirin, one of the oldest drugs: https://www.nature.com/articles/s41586-025-08626-7

I’ve only skimmed the paper - a long and dense read - but it’s already clear it’ll become a classic. What’s fascinating is that engineering is transforming into a science, trying to understand precisely how its own creations work

This shift is more profound than many realize. Engineering traditionally applied our understanding of the physical world, mathematics, and logic to build predictable things. But now, especially in fields like AI, we’ve built systems so complex we no longer fully understand them. We must now use scientific methods - originally designed to understand nature - to comprehend our own engineered creations. Mindblowing.

Agreed. But just say that. No need to pretend taking responsibility, which is defined as facing consequences when things go bad.

“As CEO, I’m truly sorry to those impacted. But I strongly believe that this change is what is needed now to make sure Dropbox can thrive in the future.”

I completely agree. LLMs are incredibly useful for improving the flow and structure of an argument, not just for non-native speakers, but even for native English speakers.

Making texts more accessible through clear language and well-structured arguments is a valuable service to the reader, and I applaud anyone who leverages LLMs to achieve that. I do the same myself.

I'm a bit puzzled why one would hold a press conference for a trial that hasn't happened yet - especially as this seems to be a phase 1 trial to test safety in humans.

The development of medical interventions typically goes through a number of stages.

The earliest stage is called the pre-clinical phase, where a candidate intervention is tested outside of humans, either in vitro or in animals. The images of the mouse and ferret teeth suggest this has been done.

Phase 1 is when the intervention is first tested in humans, typically in small groups of usually dozens of participants. The aim here is not to evaluate efficacy - phase 1 studies are often too small for that - but to assess tolerability and safety, and to find the optimal dosing with respect to side effects.

If an intervention appears safe in certain doses, it can then be evaluated for initial efficacy and continued safety in a phase 2 trial, which is larger (usually hundreds of participants). Think of it as a kind of pilot trial to see if the intervention has the desired beneficial effects without serious negative side effects, and to identify the dose with the best benefit/risk ratio. About half of the studies get past this stage.

Those that do can enter phase 3, which is the full efficacy and safety assessment of the intervention. Again, about half of the phase 3 trials eventually make it to market. Of course, the intervention first needs to go to the health authorities for regulatory approval before it can be offered on the market.

For an interesting study on costs during these phases, see e.g. https://pubmed.ncbi.nlm.nih.gov/32125404/

I'm obviously very excited about medical progress but if we had a press conference for every planned phase 1 trial we wouldn't be doing much else ;-)

At EPFL we're trying a model with the Extension School that is somewhere between 2 and 3. We don't quite do flying cars (yet) but we're developing more and more advanced material - and the big plus being that learners in the programs get a diploma (e.g. https://exts.epfl.ch/courses-programs/applied-data-science-m...).

I do think that universities should invest more heavily in this mix, obviously without losing their strong standing in 1.

I see comments like this all the time, and while what you say is correct, I think committees increasingly appreciate this sort of thing - frankly they have to or they will miss out on some of the most innovative people. There is plenty of "standard" already (nothing wrong with that of course).

With new things, what you need is at least one person on the committee to fight and convince the others why this new thing is awesome. As someone who is now on some of these committees, I would put all my weight behind something like this should I encounter it (assuming of course it has the relevant quality).

The platform itself is funded by institutional research funding we get at EPFL. For some of the monetary prizes, these typically come from the corresponding projects.

Appreciate your thoughts. A few comments:

- I have thought about destroying / recycling the car. I am not sure this would be the most meaningful action. At this point, I simply want to go to the seller and return a product that is not as advertised.

- I certainly agree that there are some intermediary steps that need to be taken with the existing pipeline. I simply wanted to express that the future has to be about batteries & software, and radically so given the current scandal.

- Adding a TLDR to the article now.

I just recently published a book called "Nature, in Code" [https://leanpub.com/natureincode] that is largely about Evolution - explained by implementing key concepts in JavaScript. It is also a beginner's book for people to learn programming.

From a personal perspective, I've always understood a concept much better once I implemented it in code. Because of that, I started teaching population genetics primarily as a computer lab class. This book is an attempt to be more broad (in terms of subject, and reach).

Your 80% number is misleading. There is no good data on that. Flu has long been thought to be mainly transmitted through droplets, which fall to the ground quickly, rather than being dispensed in the air, being able to travel large distances (which would be truly airborne). If anything, the latest data suggest that we have actually underestimated the airborne route (relative to the droplet route).

Yes, a pandemic can occur even if the pathogen is not transmitted through there air - see HIV/AIDS.

Airborne and droplet spread make for fast spreading and hard to control epidemics. If something spreads through bodily fluids only, it's easier to do contact tracing and put the right measures in place. I think that's what people want to highlight if they say that Ebola is not airborne.

Learning Online 12 years ago

This is really cool. Have you thought about ways to scale this and make it available to others (not just students, but tutors / TAs as well)?

It's hard to comment on the specific likelihood, but a few general observations:

1. Ebola transmits via bodily fluids (blood, mucus). Plus, Ebola does not establish a chronic infection in a host. Pathogens with those characteristics usually don't spread that fast / wide.

2. Past observations support 1) - transmission in airplanes has never been observed AFAIK.

3. Infected people can transmit the virus while having a fever, and through later stages of disease. This means you can identify potentially contagious people quickly, which helps control efforts.

4. Having said that, there are lots of things we don't know about Ebola, and it's always best to plan for the worst.

The diseases that keep me up at night are those that spread via airborne or vector transmission & have lots of asymptomatic carriers. Ebola has neither of those. Nevertheless, as far as Ebola outbreaks go, this one is the worst yet and correspondingly worrying.

Course and moocdemic lead here. I've designed the course with you in mind (to be frank, with me in mind, but I'm exactly like you ;-). Too many MOOCs out there in my opinion that just transfer offline education to online.