Oksana Lobko

founder of

[Oksana Lobko @ksuhaster]

@solodispatch біотех, персоналізовані корекції генів і генерація протеїнів під задачі...

[Oksana Lobko @ksuhaster]

@KorhevKorhev1 можно просто нахил підняти до максимума і бігти вгору, буде 14-18 кал

[Oksana Lobko @ksuhaster]

@drategon @Dita_Renard бо ти з шоколадної оболонки очікуєш шось шоколадне всередині
а це обман 😭 гімно якесь всередині

[Oksana Lobko @ksuhaster]

@Vvv42606039 @kamon_japanese стільки дітей травмувалося з цього дурного стереотипу...

[Oksana Lobko @ksuhaster]

@EdgarSoboliev хто математику не знає - той NPС в цьому житті

[Oksana Lobko @ksuhaster]

@bez_sensu @EdgarSoboliev шось дивна інфографіка
може в Україні регіони занижують в такій узагальненій..
але якщо брати Київ vs Варшава - то в рази сильніші математика, технічні предмети і англійська

[Oksana Lobko @ksuhaster]

@antisepticum @KatMuses_Art Оцінка привабливості часто звучить трохи смішно. Бо в реальності чоловік не вибирає який варіант подобається, бо жінка його не вибере ні перша, ні друга. Немає в нього цього вибору. А там де вибір є, то критерії інші, типу невротична vs на 10 років старша.

[Liberty Pill Memes @LibertyPillMeme]

"Wish servers" 💀

[Oksana Lobko @ksuhaster]

@u_look_younger в парку Наталка? там же вид на Дніпро на схід

[Brian Roemmele @BrianRoemmele]

The AI Takes Over Temporary Use Of Your Body!

Human Operator is a human augmentation tool that allows Al to briefly take control of your body to help you learn and do things you normally cannot do.

It uses a Vision-Language Model for human motor control through Electrical Muscle Stimulation.

Vision-based commands are generated via open-ended speech input through the an AI API to control finger and wrist stimulation for intuitive on-body interaction.

[Ash @H1TWOM4N]

He tried to warn us 11 years ago

[Patrick Heizer @PatrickHeizer]

Sorry to be the downer because this is an impressive story in some senses.

But it is ~trivially easy to make a single mRNA vaccine. It's not hard.

I cure mice of various cancers with various therapeutics all the time. I've made mice lose more weight in a month than tirzepatide does in a year.

What is hard and expensive is proving its BOTH safe AND effective **in a randomized and controlled study in humans** while ALSO manufacturing it at clinical scale and grade.

I am happy for this man and his dog. It is impressive.

But y'all are overhyping it.

[NewsForce @Newsforce]

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP

Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images.

The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS.

Source: NewsForce

[vittorio @IterIntellectus]

this is actually insane

> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”

one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.

we are going to cure so many diseases.
I dont think people realize how good things are going to get

[chiefofautism @chiefofautism]

someone built a $96 3D-PRINTED MANPADS rocket that recalculates its mid-air trajectory using a $5 sensor and piano wire

its called Project Canard

it integrates with distributed camera nodes to triangulate airborne targets and update flight paths in real-time

it proves the barrier to advanced hardware has completely collapsed, moving precision weapons from defense labs to consumer garages

the entire launcher and interceptor frame is 3D printed in PLA and runs off a standard off-the-shelf ESP32 microcontroller

it even spins up a local Wi-Fi network so you can monitor live telemetry and arm the system directly from your laptop

[Milk Road AI @MilkRoadAI]

The most expensive test in cancer care costs thousands of dollars per patient and takes days to complete.

Doctors use it to figure out who survives immunotherapy.

Most hospitals on Earth cannot afford it and that test reveals what lives inside your tumor not just cells, but the entire immune battlefield surrounding them.

Until now, that battlefield was invisible to most of the world's doctors.

Here is what just happened.

Microsoft Research, working with Providence Health and the University of Washington, built an AI called GigaTIME .

It was published in Cell, one of the most prestigious scientific journals alive.

The old process was that you run a specialized lab test called multiplex immunofluorescence.

Days of work and thousands of dollars per sample .

Most developing world hospitals never even attempt it.

However, GigaTIME skips the lab entirely.

It takes the cheap, routine slide that every hospital already produces, the kind that costs $5 to $10 and converts it into the expensive test, virtually, in seconds .

It was not trained on a handful of patients.

Microsoft trained it on 40 million cancer cells across 21 protein channels.

Then they ran it on 14,256 patients across 51 hospitals and over 1,000 clinics .

The result is that nearly 300,000 virtual tumor maps , covering 24 cancer types and 306 subtypes .

This is the largest population scale study of tumor immune environments ever conducted .

From those maps, they found 1,234 statistically significant links between immune activity, biomarkers, and patient survival .

Those connections were previously impossible to discover at this scale .

Why does this matter?

Immunotherapy is not failing and it is being given to the wrong patients.

The drugs work but only when doctors know which patients' immune systems will actually fight back .

GigaTIME does not replace the oncologist.

It gives every doctor on the planet the same data that only elite research hospitals could access before .

A secondary hospital in a developing country now has the same diagnostic intelligence as a top US cancer center .

The model is now free, open source and available on Microsoft Foundry and Hugging Face right now .

Anyone can use it and the implications are not small.

Cancer kills 10 million people a year globally.

The biggest reason is not a lack of drugs, it is a lack of data to know which drug to use .

GigaTIME does not cure cancer.

But it tells you, at massive scale, which immune cells are active, which tumors are hiding from the immune system, and which patients will likely respond to treatment .

That is the missing layer.

[Oksana Lobko @ksuhaster]

@Ficusevich @kavalerivna просто в суспільстві очікування що спеців "до результата" 90%, а в реальності добре якщо 20%

[Oksana Lobko @ksuhaster]

@Ficusevich @kavalerivna ok, а як щодо лікарів і вчителів?
плюс є електрики і сантехніки, які підписуються на великі проєкти (довше 1 дня) і потім відкладають і пропадають

[Oksana Lobko @ksuhaster]

@kavalerivna А ще вчителі і репетитори.. водите ви роками.. і скільки навчилося?..

[Oksana Lobko @ksuhaster]

@kavalerivna Давайте будемо чесні, який відсоток лікарів, електриків, сантехніків, плиточників і інших - робить свою роботу до результата?
Я вже не кажу про психологів.
Точність і якість астрологів вже не виглядає погано на цьому фоні.
Якщо людина після цього успішно змінює своє життя…