Artur

[Artur @phronikos]

@rossundo @ParadigmaEdu ?

[Artur @phronikos]

@yvesl0ops @juliogambatt0 @Sytars1 Etiópia

[Artur @phronikos]

@Ovniologia01 Muita cirurgia plástica. Olha a mão e as pernas das duas. São velhotas. A da direita tem mais de 75. Esticaram a pele até não querer mais... Duas velhas que não aceitam seu envelhecimento. Brutal demais.

[Artur @phronikos]

@niphijosh @CodexZeroTtivn Crazy stretch

[Artur @phronikos]

@TexasHodlerMom @CodexZeroTtivn Right. Those "reptilian" women are just old women who went through a LOT of plastic surgeries, and just look botched. The other one trending... is over 70 years old. She probably went too far with surgeries to avoid skin sagging. Her hands and legs show that she is an old lady...

[YE99 🇪🇺🍊 @YeHzkl99]

The people who drink the most coffee tend to have the BEST health.

— Ray Peat

[Hank @paginahank]

“Bem-vindo à minha padaria, o que vai querer hoje?”

“Um sonho... Sou sonhador. Busco as estrelas e se não as alcanço, agarro as nuvens...”

“Bem, sim, claro, por que não? Mais alguma coisa?”

“E uma bomba... Mas não a doce... Uma que destrua o solo e ceife as almas...”

[Artur @phronikos]

@imNotAKittie @UpToTASK That was the weirdest part for me

[Artur @phronikos]

😭

[Bober_smart @Bober_smart]

It is becoming f*cking dangerous: AI agents from Claude Code transformed an ordinary academic reading list into an interactive research lab right inside the browser

Boris Cherny, who created Claude Code, gave a dozen agents a stack of 64 research papers with a strict assignment: design a web platform where any user can independently reproduce physical experiments

There you can select a fluid flow model, adjust external conditions, and analyze in real time how the physics of the process changes

The interface allows switching between algorithms right during the scene, inspecting the formulas involved, source scripts, and numerical metrics alongside the graphics

Each link in the team received a clear scope of work:

> rightarrow analysts pull the math, baseline assumptions, and test settings from the texts
> rightarrow coders translate formulas into working algorithms
> rightarrow auditors check the resulting dynamics against the original papers
> rightarrow interface specialists build control panels for every experiment

The danger lies in the fact that a pretty visualization can easily turn out to be mathematically wrong

Therefore, controllers strictly check adherence to mass conservation laws, calculation stability, and accurate matching with the source metrics before launching into production

For every experiment, the interface displays:

the statement being tested
the constants involved
the deviation from the baseline calculation
blind spots requiring additional verification

The resulting sandbox combined 11 approaches and 28 reference scenes. Seven of them matched the original within allowable tolerances, while four remained stuck in "pending revision" status

If you want to run something similar, upload your stack of PDFs into Claude Code and give this command:

Turn these papers into an interactive web complex:

1. Extract working algorithms, mathematical models, and test parameters. Be sure to specify page numbers and highlight gaps
2. Assign different methodologies to isolated agents, unifying them with a shared input field and single measurement tools for correct analytics
3. Set up an independent review stage: let reviewers record bugs, and leave all unverified results clearly marked with warning tags
4. Design convenient controls to tweak parameters, compare methodologies, and run through the source code

It is wiser to start with a single document and a single baseline experiment, gradually scaling up the number of agents

Be sure to pack dependencies and clean input data so that an outside researcher can bring up the entire testbed from scratch with a single button

Full instructions on how to create this can be found in the article below

[Artur @phronikos]

eu vendo qualquer gráfico de bioinfo

[saila @sailaunderscore]

The minds and going-abouts of the cattle are truly fascinating

[▼ Kiel James Patrick @KJP]

Glory days 🇺🇸

[Artur @phronikos]

@fucksystem777 @Billyzinho1231 @imnotbeckk Concordo contigo

[Artur @phronikos]

@Billyzinho1231 @fucksystem777 @imnotbeckk Mas recomendo focar no ITA só se tu for bem novo e relativamente inteligente. Se tiver uns 20 pra cima, só tenta se tu for crânio dms e conseguir passar em uns 2 anos. Se não, busque outros concursos militares, como EFOMM. Também podem te dar um bom futuro, mas são mais fáceis

[Artur @phronikos]

@Billyzinho1231 @fucksystem777 @imnotbeckk E se você se formar engenheiro lá, arranja emprego bom em quase qlqr lugar. Se for áreas específicas, tipo aeronáutica ou aeroespacial, pode ser mais difícil, mas isso é porque não tem mta área no brasil. Agora se for elétrica, computação, etc. tu tá muito tranquilo.

[Artur @phronikos]

@Gymkittyn @imnotbeckk É matemática, física, química, português, inglês e redação.

[Niko McCarty. @NikoMcCarty]

Microscopes have historically imaged organisms on a flat surface. You basically take some cells, put them under a coverslip, and image them. But cells in the wild don’t live like this; they move in 3D.

The Gravity Machine from Manu Prakash’s lab is such a brilliant way to solve this problem. It came out a few years ago, in 2020, but it really emphasizes this idea that discoveries are easier to make when we design our instruments in a way suited to observing them. This is basically a microscope that can record (marine) organisms moving in three dimensions. It looks like a car tire, with a water-filled channel running around its rim. You put your organism in the water and place the microscope on the side. As the organism swims up or down, the wheel rotates to compensate, keeping it in view.

The video below was taken with this Gravity Machine. It shows a single cell, Volvox aureus, swimming upwards. As it swims, the researchers flash a light, and you can see the cell rapidly shoot upwards. This is something we could never record with a normal microscope!

What else in biology are we missing because of poor measurement tools? (Apparently, for example, there are marine organisms that float up or down an entire kilometer as they are dividing.) I’ve seen 3D images of plant roots, but only after all the bacteria attached to them have been killed off. What if we could image the gut microbiome or an entire cube of dirt across space and time, without killing the organisms first?