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@IterIntellectus
HOLY shyt IT'S HAPPENING
AI can now write genomes from scratch.
Arc Institute an NVIDIA just published Evo-2, the largest AI model for biology, trained on 9.3 trillion DNA base pairs spanning the entire tree of life.
it doesn’t just analyze genomes. it creates them
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@IterIntellectus
Evo 2 generates mitochondrial, prokaryotic, and eukaryotic sequences at genome-scale
Evo 2 is FULLY OPEN, including model parameters, training code, inference code, and
the OpenGenome2 dataset LMFAO
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@IterIntellectus
think of it as a DNA-focused LLM. instead of text, it generates genomic sequences. it reads and interprets complex DNA, including noncoding regions usually considered jink, generates entire chromosomes and new genomes, and predicts disease-causing mutations, even those not understood
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@IterIntellectus
this is biology hacking
AI is moving beyond describing biology to designing it. this allows for synthetic life engineered from scratch, programmable genomes optimized by AI, potential new gene therapies, and lays the groundwork for whole-cell simulation.
biology is becoming a computational discipline
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@IterIntellectus
it was trained on a dataset of 9.3 trillion base pairs from bacteria, archaea, eukaryotes, and bacteriophages
it processes up to 1 million base pairs in a single context window, covering entire chromosomes. it identifies evolutionary patterns previously unseen by humans
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@IterIntellectus
Evo-2 has demonstrated practical generation abilities, creating synthetic yeast chromosomes, mitochondrial genomes, and minimal bacterial genomes.
this is computational design in action.
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@IterIntellectus
Evo-2 understands noncoding DNA, which regulates gene expression and is involved in many genetic diseases.
it predicts the functional impact of mutations in these regions, achieving state-of-the-art performance on noncoding variant pathogenicity and BRCA1 variant classification.
this could lead to advances in precision medicine
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@IterIntellectus
Evo-2 uses stripedhyena 2, combining convolution and attention mechanisms, not transformers.
it models DNA at multiple scales, capturing long-range interactions, and autonomously learns features like exon-intron boundaries and transcription factor binding sites without human guidance.
it’s not just memorizing
it’s understanding biology.
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@IterIntellectus
Evo-2 predicts whether mutations are harmful or benign without specific training on human disease data.
WHAT
it outperforms specialized models on BRCA1 variants and handles noncoding mutations effectively, suggesting it has learned DNA’s fundamental principles
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@IterIntellectus
Evo-2 generates DNA sequences that influence chromatin accessibility, controlling gene expression.
it has embedded simple Morse code into epigenomic designs as a proof of concept, not a practical application. this shows potential for designing programmable gene circuits.
make me blonde. thank you
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@IterIntellectus
Evo-2 is FULLY OPEN SOURCE, including model parameters, training data, and code.
this will lead to massive widespread innovation in bioengineering, lowering barriers to genome design.
it’s a revolution moment for the field.
the era of biotech is here
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@IterIntellectus
The Arc Institute aims to model entire cells, moving beyond DNA to whole organisms.
this could lead to AI creating new life forms and synthetic biology becoming AI-driven.
the future involves programming life at increasing scales
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@IterIntellectus
three years ago, AI focused on chatbots.
now it generates genomes. soon, it will design complex biological systems. this is a new phase
humans are no longer just studying biology but rewriting its code.
biology’s future is computational. are you prepared?
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@IterIntellectus
Manuscript | Arc Institute
15/34
@boneGPT
if it's possible to use AI to create every possible genome in the latent space of genes, there is a case that humans could have been discovered galaxies away.
Any sufficiently advanced species would know about man long before ever making contact with earth.
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@IterIntellectus
soon
17/34
@kaiotei_
This is insane and a true breakthrough sheesh. just last week i finally had the mind to feed my genome into chatgpt and have it run dozens of analyzations on my SNPs, genomics and AI is big. This is kind of terrifying to me though because I just imagine it creating super extra covid
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@IterIntellectus
or super soldiers lesssgooooo
19/34
@NickADobos
How soon can I can I CRISPR myself with this?
20/34
@IterIntellectus
realistically speaking, safely, 10-15 years
discard safety, 5
21/34
@parakeetnebula
WE LOVE TO SEE IT
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@IterIntellectus
HELL YEAH
23/34
@thatsallfrens
I WANT A GNOME FROM SCRAC
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@IterIntellectus
I WANT BIG PP
25/34
@AISafetyMemes
*taps sign*
[Quoted tweet]
MIT professor and CRISPr gene drive inventor is sounding the alarm:
A 90% lethal virus that infects 50% of humans in 100 days is now possible.
Vaccines will be far too slow.
Extinction cult Aum Shinrikyo went to Africa to produce purified ebola, but, lucky for us, they failed:
Kevin Esvelt: “They bought a uranium mine, they started developing chemical weapons, they started looking for biological weapons. And while there weren’t very many that they had access to at the time, they were able to produce botulinum toxin and they tried to make enough anthrax.
The leader of their bioweapons programme, when they went to Africa, he was hoping that they would find someone who was infected with Ebola so that he could purify the virus and spread it around, so that it would hopefully transmit and kill as many people as possible.”
Omicron infected 50% of Europe in 100 days - vaccines will be much too slow: “Now, imagine something that was released across multiple airports to start with, and you can see how the moonshot vaccine initiatives that hope to get a new vaccine working and approved in 100 days are still going to be much too slow."
90% lethality is possible: “Rabbit calicivirus — it’s more than 90% lethal in adult rabbits. If nature can do that in an animal, that means it’s possible.”
It could spread far faster than natural pandemics because we have air travel.
A new RAND report said: “Previous attempts to weaponise biological agents, such as an attempt by the Japanese Aum Shinrikyo cult to use botulinum toxin in the 1990s, had failed because of a lack of understanding of the bacterium. AI could “swiftly bridge such knowledge gaps”
Bioweapons experts think we might be 1-3 years away from AI-assisted large-scale biological attacks that bring society to its knees.
Open source AI means irreversible proliferation to the Aum Shinrikyos of the world. We’re giving them weapons we can never take back.
[media=twitter]1714384953696211345[/media]
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@AsycLoL
Wtf
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@zeee_media
@threadreaderapp unroll
28/34
@vvdecay
@SorosBruv
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@NI_Intern
Does this mean we're getting Jurassic Park
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@theshadow27
I’m not normally a doomer but this one gives me pause.
An open source version of this means it’s possible to tell it to mix anthrax with Covid. Or worse. CRiSPeR can print any sequence.
What have we done?
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@biotech_bro
Genuinely not overstating how important and transformative it is. You can synthesize organisms that breakdown plastics, and bio-synthetically generate key products and reagents (e.g., Ginkgo on steroids) and maybe even can help terraform planets!!!
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@_anoneng
YAY! Now we can have "life forms" whose genetics are the equivalent of chatgpt slop that barely qualifies as english.
[Quoted tweet]
HOLY shyt IT'S HAPPENING
AI can now write genomes from scratch.
Arc Institute an NVIDIA just published Evo-2, the largest AI model for biology, trained on 9.3 trillion DNA base pairs spanning the entire tree of life.
it doesn’t just analyze genomes. it creates them
1/
[media=twitter]1892251343881937090[/media]
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@craigh64
Now we just need it to design some sort of "perfect organism" that we can use as a weapon!
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@8_O_B