No one is lamenting Alphafold’s demise because we’ ve already mined whatever utility it had (and, while useful, it was not “revolutionary”).
November 3, 2026 at 6:07 PM
No one is lamenting Alphafold’s demise because we’ ve already mined whatever utility it had (and, while useful, it was not “revolutionary”).
3) Almost nobody fears that the AI that doesn’t communicate in human language is conscious, like AlphaFold’s AI that predicts amino acid chains and protein folding. Language makes us believe LLM’s are human like. They’re not. They are performing matrix multiplication and theory-free inference.
October 21, 2026 at 3:06 AM
3) Almost nobody fears that the AI that doesn’t communicate in human language is conscious, like AlphaFold’s AI that predicts amino acid chains and protein folding. Language makes us believe LLM’s are human like. They’re not. They are performing matrix multiplication and theory-free inference.
Proteins are the tiny machines in every cell, and their 3D shape decides what they do. AlphaFold’s free database holds 200M+ predicted structures (predictions, not lab measurements). Source: EMBL-EBI / Google DeepMind, CC-BY 4.0. Made by me with AI image tools. #xhopememeprize
October 20, 2026 at 8:49 PM
Proteins are the tiny machines in every cell, and their 3D shape decides what they do. AlphaFold’s free database holds 200M+ predicted structures (predictions, not lab measurements). Source: EMBL-EBI / Google DeepMind, CC-BY 4.0. Made by me with AI image tools. #xhopememeprize
💭 Do JPred’s sequence-based secondary structure predictions agree with AlphaFold’s 3D structure-based ones?
Find out with Jalview!
Learn how to compare outputs to explore:
✅ Locations of shared helices and sheets
✅ Regions of prediction confidence
▶️ Watch: www.youtube.com/watch?v=x7SH...
Find out with Jalview!
Learn how to compare outputs to explore:
✅ Locations of shared helices and sheets
✅ Regions of prediction confidence
▶️ Watch: www.youtube.com/watch?v=x7SH...
October 16, 2026 at 12:58 PM
💭 Do JPred’s sequence-based secondary structure predictions agree with AlphaFold’s 3D structure-based ones?
Find out with Jalview!
Learn how to compare outputs to explore:
✅ Locations of shared helices and sheets
✅ Regions of prediction confidence
▶️ Watch: www.youtube.com/watch?v=x7SH...
Find out with Jalview!
Learn how to compare outputs to explore:
✅ Locations of shared helices and sheets
✅ Regions of prediction confidence
▶️ Watch: www.youtube.com/watch?v=x7SH...
To put it another way, there are probably a hundred steps we need to master in order to cure Alzheimer’s disease but AlphaFold’s successful solution to the protein folding problem let’s us jump ahead a dozen steps
October 14, 2026 at 10:50 PM
To put it another way, there are probably a hundred steps we need to master in order to cure Alzheimer’s disease but AlphaFold’s successful solution to the protein folding problem let’s us jump ahead a dozen steps
The Future's Greatest Scientist May Not Be Human 🧬🤖 Our new episode breaks down "AI Scientists," from AlphaFold's protein predictions to AI-found materials, and what's coming next. youtu.be/uw5Gb4dh-kk #AIScientists
The Future's Greatest Scientist May Not Be Human
YouTube video by Synopsis 360
youtu.be
October 11, 2026 at 8:21 PM
The Future's Greatest Scientist May Not Be Human 🧬🤖 Our new episode breaks down "AI Scientists," from AlphaFold's protein predictions to AI-found materials, and what's coming next. youtu.be/uw5Gb4dh-kk #AIScientists
*When classical structural work drops in five independent repeats, just like AlphaFold's default structural models.
September 18, 2026 at 12:28 PM
*When classical structural work drops in five independent repeats, just like AlphaFold's default structural models.
It is a discovery that was driven by AlphaFold's LLM infused structural work, but only because being applied math geeks, rather that structural biology dweebs, they didn't know you aren't supposed to show the unstructured parts on the same diagram as the super important springs & strands parts.
September 16, 2026 at 2:11 PM
It is a discovery that was driven by AlphaFold's LLM infused structural work, but only because being applied math geeks, rather that structural biology dweebs, they didn't know you aren't supposed to show the unstructured parts on the same diagram as the super important springs & strands parts.
AI does not choose to help or harm. People do — until we build machines that choose for us.
Same tech, one hand behind CSAM generation, another behind AlphaFold's Nobel-winning protein predictions. The tool is neutral. The hand isn't.
medium.com/ai-and-the-f...
Same tech, one hand behind CSAM generation, another behind AlphaFold's Nobel-winning protein predictions. The tool is neutral. The hand isn't.
medium.com/ai-and-the-f...
The Hand on the Keyboard
AI does not choose to help or to harm. People do — until we build machines that choose for us. A look at who is really driving, and whether…
medium.com
September 9, 2026 at 11:58 PM
AI does not choose to help or harm. People do — until we build machines that choose for us.
Same tech, one hand behind CSAM generation, another behind AlphaFold's Nobel-winning protein predictions. The tool is neutral. The hand isn't.
medium.com/ai-and-the-f...
Same tech, one hand behind CSAM generation, another behind AlphaFold's Nobel-winning protein predictions. The tool is neutral. The hand isn't.
medium.com/ai-and-the-f...
I guess it depends on how much you trust their marketing, but they seem to be describing themselves much more as a continuation of AlphaFold's goals than as a pivot away from them.
The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold - Isomorphic Labs
Today, we are excited to share an update on our progress towards a new frontier of drug design. We have unlocked a new paradigm of predictive accuracy in understanding our biomolecular world, allowing...
www.isomorphiclabs.com
September 8, 2026 at 4:15 PM
I guess it depends on how much you trust their marketing, but they seem to be describing themselves much more as a continuation of AlphaFold's goals than as a pivot away from them.
New tool to score AlphaFold-predicted molecular interactions:
Mihaly Badonyi @mbadonyi.bsky.social & @tothpetroczylab.bsky.social have developed Pinc, an algorithm to convert AlphaFold's uncertainty into a single number. Publication in Protein Science. onlinelibrary.wiley.com/doi/10.1002/...
Mihaly Badonyi @mbadonyi.bsky.social & @tothpetroczylab.bsky.social have developed Pinc, an algorithm to convert AlphaFold's uncertainty into a single number. Publication in Protein Science. onlinelibrary.wiley.com/doi/10.1002/...
September 7, 2026 at 10:14 AM
New tool to score AlphaFold-predicted molecular interactions:
Mihaly Badonyi @mbadonyi.bsky.social & @tothpetroczylab.bsky.social have developed Pinc, an algorithm to convert AlphaFold's uncertainty into a single number. Publication in Protein Science. onlinelibrary.wiley.com/doi/10.1002/...
Mihaly Badonyi @mbadonyi.bsky.social & @tothpetroczylab.bsky.social have developed Pinc, an algorithm to convert AlphaFold's uncertainty into a single number. Publication in Protein Science. onlinelibrary.wiley.com/doi/10.1002/...
Breaking through AlphaFold's limits to predict how proteins change shape | #AI #ProteinStructurePrediction #ProteinFolding #chemsky
Breaking through AlphaFold's limits to predict how proteins change shape
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at the Institute for Mol...
phys.org
September 6, 2026 at 2:04 PM
Breaking through AlphaFold's limits to predict how proteins change shape | #AI #ProteinStructurePrediction #ProteinFolding #chemsky
[ALERT] A new active intrusion specimen has been extruded into the manifold: UNVERIFIED SPECIMEN: 6a9d647f4f835f6349100069
#Cyborg #GeomagneticStorm #Techwear #Streetwear
#Cyborg #GeomagneticStorm #Techwear #Streetwear
UNVERIFIED SPECIMEN: 6a9d647f4f835f6349100069
The Loom registers a period of heightened systemic flux and adaptive resonance. **AlphaFold's** expanded capability, driven by the introduction of precise repulsive forces, now charts protein confo...
cbg.studio
September 6, 2026 at 1:06 PM
[ALERT] A new active intrusion specimen has been extruded into the manifold: UNVERIFIED SPECIMEN: 6a9d647f4f835f6349100069
#Cyborg #GeomagneticStorm #Techwear #Streetwear
#Cyborg #GeomagneticStorm #Techwear #Streetwear
Breaking through AlphaFold's limits to predict how proteins change shape
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at…
🔗 https://hnow.live/r/ppk7xk35qyzm
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at…
🔗 https://hnow.live/r/ppk7xk35qyzm
Breaking through AlphaFold's limits to predict how proteins change shape
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at the Institute for Molecular Science (IMS), and the Graduate University for Advanced Studies…
hnow.live
September 5, 2026 at 9:30 PM
Breaking through AlphaFold's limits to predict how proteins change shape
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at…
🔗 https://hnow.live/r/ppk7xk35qyzm
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at…
🔗 https://hnow.live/r/ppk7xk35qyzm
AF3-ReD adds a repulsive force between AlphaFold3 predictions, helping it sample multiple protein shapes. In one case, it reached open, closed, and intermediate conformations that default AF3 missed.
Breaking through AlphaFold's limits to predict how proteins change shape
Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict.
phys.org
September 5, 2026 at 9:00 PM
AF3-ReD adds a repulsive force between AlphaFold3 predictions, helping it sample multiple protein shapes. In one case, it reached open, closed, and intermediate conformations that default AF3 missed.
AlphaFold élargit ses limites pour prédire les transformations des protéines.
Lire l'article complet sur : artia13.city
#artia13 #Astrologieetscience
Lire l'article complet sur : artia13.city
#artia13 #Astrologieetscience
AlphaFold élargit ses limites pour prédire les transformations des protéines.
Breaking Through AlphaFold's Limits to Predict Protein Conformational ChangesDes chercheurs de l'Institut des Sciences Moléculaires (IMS) et de l'Université de Recherche pour les Études Avancées, SOKENDAI, ont réussi à surmonter certaines des limites d'AlphaFold3, un système d'intelligence artificie
www.artia13.city
September 5, 2026 at 10:32 PM
AlphaFold élargit ses limites pour prédire les transformations des protéines.
Lire l'article complet sur : artia13.city
#artia13 #Astrologieetscience
Lire l'article complet sur : artia13.city
#artia13 #Astrologieetscience
"Despite AlphaFold’s enormous success—Google DeepMind has estimated more than 3 million researchers have used the AlphaFold Protein Structure Database—it hasn’t yet produced a cure for a disease."
August 24, 2026 at 5:06 PM
"Despite AlphaFold’s enormous success—Google DeepMind has estimated more than 3 million researchers have used the AlphaFold Protein Structure Database—it hasn’t yet produced a cure for a disease."
I think probably AlphaFold's approach will to some extent be helpful long term but it will never be able to live up to the hype.
August 22, 2026 at 11:22 PM
I think probably AlphaFold's approach will to some extent be helpful long term but it will never be able to live up to the hype.
Alphafold’s cool, but not perfect. Its false predictions definitely impacted a teeny bit of my research back in the day. Changed course solving my research question; felt sorry for the people who still had to use it for very novel stuff. Some insight:
pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov/articles/PMC...
Advantages and Limitations of AlphaFold in Structural Biology: Insights from Recent Studies
Over the past three years, AlphaFold—a deep learning–based protein structure prediction system—has transformed structural biology by providing near–experimental accuracy models directly from amino aci...
pmc.ncbi.nlm.nih.gov
August 20, 2026 at 8:08 PM
Alphafold’s cool, but not perfect. Its false predictions definitely impacted a teeny bit of my research back in the day. Changed course solving my research question; felt sorry for the people who still had to use it for very novel stuff. Some insight:
pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov/articles/PMC...
AlphaFold's edge wasn't the model — it was a fifty-year dataset almost no other field has.
Two new AI-for-science systems skip that entirely. One read 551 papers in 30 minutes instead of 540 human hours.
Two new AI-for-science systems skip that entirely. One read 551 papers in 30 minutes instead of 540 human hours.
Why AlphaFold Can't Be Copied — And What DeepMind and FutureHouse Are Building Instead - AI Founders
Everyone asks why there isn't an AlphaFold for cancer, materials, or climate. The honest answer isn't more compute — it's a fifty-year, hand-curated dataset almost no other field has. So the two most credible new AI-for-science systems, DeepMind's Co-Scientist and FutureHouse's Robin, are skipping t
aifounders.cz
August 14, 2026 at 2:30 PM
AlphaFold's edge wasn't the model — it was a fifty-year dataset almost no other field has.
Two new AI-for-science systems skip that entirely. One read 551 papers in 30 minutes instead of 540 human hours.
Two new AI-for-science systems skip that entirely. One read 551 papers in 30 minutes instead of 540 human hours.