Człowiek renesansu 2077

Artificial Intelligence, Mind Uploading, True Transhumanist
Bioinformatics 🧬

[Człowiek renesansu 2077 @DrWhite70]

@wirtualnapolska Niedługo zatrudnią profesjonaliste Janusza Walusia, dziwne uniwersum się wylosowalo

[ZuritaCarpio @ZuritaCarpio]

🇦🇱 Cuarta noche de protestas en #Albania contra un megaproyecto turístico en reserva natural, vinculado a Jared Kushner e Ivanka Trump. Manifestantes exigen suspensión y defienden tierras albanesas.

[purusha - n/eti @purusa0x6c]

Only this guy is using AI in a meaningful way.

[Acyn @Acyn]

Massie: I would have come out sooner but I had to call my opponent to concede and it took a while to find him in Tel Aviv

[Gerhardt vd Merwe @realgerhardtvdm]

🇺🇸 WTF IS GOING ON IN THE UNITED STATES?:

- The President of the U.S. posts himself as Jesus on social media.

- The Vice President and Erica Kirk are siblings.

- The Secretary of War is quoting a FAKE bible verse from Pulp Fiction.

[Człowiek renesansu 2077 @DrWhite70]

@clashreport Will she be the successor?

[Człowiek renesansu 2077 @DrWhite70]

@bourscheid Will she be the successor?

[Jean-Rémi King @JeanRemiKing]

��� the Digital Brain Project is now live:

$5M total · up to $500k per selected team

Let's open-source the modeling of the human brain brain activity!

➡️Apply on: https://t.co/W4HFA5PQBX

[Dr Singularity @Dr_Singularity]

insane tech achievement

Scientists just found a way to map the brain like it’s code.

Instead of slowly scanning neurons with microscopes (which takes forever), they gave brain cells tiny "barcodes" made of RNA, so when two neurons connect, that connection gets recorded like data. Then they just sequence it like DNA and boom: a map of how the brain is wired.

In plain terms, they turned one of the hardest problems in biology into something computers are insanely good at.

Now we can map way more connections, way faster

It can reveal hidden brain circuits we didn’t even know existed and help detect diseases like Alzheimer’s before symptoms even show up.

[Georgia Channing @cgeorgiaw]

how to train your mRNA language model across 25 species

and all that training for $165!

https://t.co/mrliAHhap8

[GHOST Day: Applied Machine Learning Conference @ghostdayamlc]

Introducing our next speaker of the GHOST Day: AMLC 2026!

Ivan Cimrak is a Professor at University of Žilina (Slovakia), where he works at the intersection of artificial intelligence and biomedical engineering.

[AI at Meta @AIatMeta]

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.

Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.

Try the demo and learn more here: https://t.co/VkMd1YpQWI

[Dhravya Shah @DhravyaShah]

https://t.co/PII44vkWP7

[Simon Kohl @saakohl]

Today we're launching Latent-Y: the world's first autonomous agent for drug design, lab-validated end to end.

Give it a research goal. Latent-Y reasons, designs, iterates, and delivers lab-ready antibodies, autonomously or collaboratively, with the biological reasoning of a PhD protein design expert.

Technical report: https://t.co/E7IHfkvvD3
Blog post: https://t.co/GfJAfzj0Qx
Apply for access: https://t.co/E0SR9znZiP

[Człowiek renesansu 2077 @DrWhite70]

@jakub_bilski @nasqret Byłem na tym seminarium bardzo ciekawe jak sztuczna inteligencja zmienia matematykę i programowanie. I jakie są ograniczenia tej technologii.

[Chomba Bupe @ChombaBupe]

No he didn't.

"We implement here a brainwide leaky integrate-and-fire model—one of the simplest biologically plausible neural models"

Basically what they did is run a simplified model to predict some neural activities in the flies brain not simulate the entire brain.

[Janne Lappalainen @lappalainenjk]

My dissertation is just out today:
https://t.co/xvgiDRPMod

Timely for the current discussion. It covers predicting neural function underlying behavior with connectomes & ML, why single models aren't enough, and remaining challenges for whole-brain simulation (eg. Chapter 4.1.1).

[Google Research @GoogleResearch]

Ever wonder if a computer can simulate brain activity?

Google Research just curated a new #NotebookLM notebook asking just this.

It features sources on:
✅ Predicting neural activity with AI
✅ Nanoscale brain mapping
✅ Synapse-level reconstructions

Start exploring the frontier of neuroscience today:
https://t.co/oQJ5mMHv6C

[Tyler Sloan @quorumetrix]

Lots of interest in #connectome whole brain #emulation this week. This is such an exciting area.
Re-posting an old animation I made using the connectome of the flies eye with a spiking #neuron simulation
#neuroscience #visualization

[Yin lab @HenryYin19]

Connectome is just anatomy. More detailed and advanced than conventional anatomy, but still just anatomy. It says a lot about the current state of neuroscience that it's even necessary to keep reminding people that structure doesn't equal function. From a heart connectome for example you can't even deduce that it's a pump. There's this desperate hope for "magic", the assumption that if we just throw enough money and compute at a massive dataset, then voila the answers will just pop out. Feels like we’re back in the Dark Ages, when solid engineering and magic lived side-by-side.