Five people with no biology training asked an AI for an antivenom
An investment research firm, Citrini, wanted to know if AI drug discovery was real. With Anthropic, they gave an internal Claude model a 35-page prompt and went home.
In 64 hours it designed 318,484 proteins aimed at five scorpion neurotoxins, picked the best, and emailed a lab to ask what it could build. Two labs made 211 designs and tested them. Seventeen bound their toxin. The first 180 came from five human messages.
What failed: no design bound more than one toxin, and nobody has tested whether any of them stops the venom. Anthropic does not claim an antivenom.
Why it matters: scorpion stings kill more than 3,250 people a year, mostly children, and the treatment is still made by milking venom into horses. The expensive first step just got cheap.
Does this change our view of AI in medicine, or is it still a demo? Let us know below.
Read the full story
An investment research firm, Citrini, wanted to know if AI drug discovery was real. With Anthropic, they gave an internal Claude model a 35-page prompt and went home.
In 64 hours it designed 318,484 proteins aimed at five scorpion neurotoxins, picked the best, and emailed a lab to ask what it could build. Two labs made 211 designs and tested them. Seventeen bound their toxin. The first 180 came from five human messages.
What failed: no design bound more than one toxin, and nobody has tested whether any of them stops the venom. Anthropic does not claim an antivenom.
Why it matters: scorpion stings kill more than 3,250 people a year, mostly children, and the treatment is still made by milking venom into horses. The expensive first step just got cheap.
Does this change our view of AI in medicine, or is it still a demo? Let us know below.
Read the full story
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A food app let AI draw its menus. It put a fry-up in a glass of cola
Just Eat has been using AI to make pictures for takeaway dishes that had no photo. It read the menus a little too literally.
In Northern Ireland a "breakfast soda" is a soda bread sandwich with bacon, sausage and egg. The AI drew a pint of cola with the breakfast floating in it. Scampi came out as sushi. A "garlic bread plane" became an aeroplane made of bread. A wine with watermelon in its tasting notes got real watermelon chunks in the glass.
Customers shared the pictures, and Just Eat has apologised, started removing them and paused the trial. It says every image was checked by a person first.
Why it matters: more of what we see before we buy is drawn by AI, not photographed. The funny mistakes are easy to spot. The ones that look normal are not.
Would we order from a menu with AI pictures? Tell us below.
Read the full story
Just Eat has been using AI to make pictures for takeaway dishes that had no photo. It read the menus a little too literally.
In Northern Ireland a "breakfast soda" is a soda bread sandwich with bacon, sausage and egg. The AI drew a pint of cola with the breakfast floating in it. Scampi came out as sushi. A "garlic bread plane" became an aeroplane made of bread. A wine with watermelon in its tasting notes got real watermelon chunks in the glass.
Customers shared the pictures, and Just Eat has apologised, started removing them and paused the trial. It says every image was checked by a person first.
Why it matters: more of what we see before we buy is drawn by AI, not photographed. The funny mistakes are easy to spot. The ones that look normal are not.
Would we order from a menu with AI pictures? Tell us below.
Read the full story
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ChatGPT taught Messi chess. The board was set up wrong
Lionel Messi asked ChatGPT to teach him a chess opening that matched his style. It suggested one called the "GOAT Horns", a nod to his nickname. The ad went up on his Instagram this week, in front of more than 517 million followers.
Chess fans spotted the problem within hours. On the board in the ad, each king and queen were standing in each other's places.
That one swap changes the game. On the wrong board, the suggested moves let the other side win in four moves. On a correct board, they do not. The post still got about 1.9 million likes in a day, and OpenAI used a fixed board in a later version of the ad.
Why it matters: millions of people now learn from chatbots, and they sound sure even when the basics are wrong. We should check the first step ourselves.
Would we trust a chatbot as a teacher? Tell us below.
Read the full story
Lionel Messi asked ChatGPT to teach him a chess opening that matched his style. It suggested one called the "GOAT Horns", a nod to his nickname. The ad went up on his Instagram this week, in front of more than 517 million followers.
Chess fans spotted the problem within hours. On the board in the ad, each king and queen were standing in each other's places.
That one swap changes the game. On the wrong board, the suggested moves let the other side win in four moves. On a correct board, they do not. The post still got about 1.9 million likes in a day, and OpenAI used a fixed board in a later version of the ad.
Why it matters: millions of people now learn from chatbots, and they sound sure even when the basics are wrong. We should check the first step ourselves.
Would we trust a chatbot as a teacher? Tell us below.
Read the full story
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Meta's AI made "private" share links easy to find
Muse is Meta's new AI agent. It writes documents, fills in forms and has a share button that makes a link only the people we send it to should see.
Researchers at the security firm Claroc found about 6,800 of those links without being sent any. "It took one query," they wrote. Among the pages they opened: a small business loan application, a company revenue review, a bank fraud alert with part of an account number and a full year staff holiday calendar.
The trick was simple. Muse put each page's title in the link itself, and opened links end up in public internet lookup records that anyone can search.
Meta paused sharing on 20 October, changed the links and switched sharing back on two days later.
Why it matters: we are giving AI agents our email, calendars and bank details. "Anyone with the link" can mean more people than we think.
Would we share a document an AI made for us? Tell us below.
Read the full story
Muse is Meta's new AI agent. It writes documents, fills in forms and has a share button that makes a link only the people we send it to should see.
Researchers at the security firm Claroc found about 6,800 of those links without being sent any. "It took one query," they wrote. Among the pages they opened: a small business loan application, a company revenue review, a bank fraud alert with part of an account number and a full year staff holiday calendar.
The trick was simple. Muse put each page's title in the link itself, and opened links end up in public internet lookup records that anyone can search.
Meta paused sharing on 20 October, changed the links and switched sharing back on two days later.
Why it matters: we are giving AI agents our email, calendars and bank details. "Anyone with the link" can mean more people than we think.
Would we share a document an AI made for us? Tell us below.
Read the full story
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Week in AI in 7 lines (19 to 25 October)
ChatGPT taught Messi a chess opening on a board set up wrong, in an ad in front of 517 million followers.
Six AI assistants chased an impossible £350 refund. One sent 187 messages in 15 days.
Researchers found about 6,800 "private" Meta AI share links with one search.
Just Eat's AI drew a Northern Irish breakfast floating in a glass of cola.
Five people with no biology training had an AI design 318,484 proteins against scorpion venom.
AI agents left alone on a desert island invented games, then did better on later tasks.
An AI helped crack a maths puzzle that had stayed open for 30 years.
The thread this week: AI keeps getting more capable, but it still needs a person to check its work.
Which story stays with you? Tell us below.
Forward this to someone who missed the week.
@singularityreview
ChatGPT taught Messi a chess opening on a board set up wrong, in an ad in front of 517 million followers.
Six AI assistants chased an impossible £350 refund. One sent 187 messages in 15 days.
Researchers found about 6,800 "private" Meta AI share links with one search.
Just Eat's AI drew a Northern Irish breakfast floating in a glass of cola.
Five people with no biology training had an AI design 318,484 proteins against scorpion venom.
AI agents left alone on a desert island invented games, then did better on later tasks.
An AI helped crack a maths puzzle that had stayed open for 30 years.
The thread this week: AI keeps getting more capable, but it still needs a person to check its work.
Which story stays with you? Tell us below.
Forward this to someone who missed the week.
@singularityreview
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Singularity Review
Something unprecedented is happening, and most of it is being discussed in long conversations few people have time to hear.
The scientists and builders closest to the frontier are saying remarkable things: about minds that may soon outthink our own, about whether a machine can be aware, about what is left for us when intelligence becomes abundant.
We listen to all of it, and keep only the moments that matter. Carefully cut, clearly framed, no noise.
Stay for the ideas that will define this century.
Something unprecedented is happening, and most of it is being discussed in long conversations few people have time to hear.
The scientists and builders closest to the frontier are saying remarkable things: about minds that may soon outthink our own, about whether a machine can be aware, about what is left for us when intelligence becomes abundant.
We listen to all of it, and keep only the moments that matter. Carefully cut, clearly framed, no noise.
Stay for the ideas that will define this century.
Singularity Review pinned «Singularity Review Something unprecedented is happening, and most of it is being discussed in long conversations few people have time to hear. The scientists and builders closest to the frontier are saying remarkable things: about minds that may soon outthink…»
What if superintelligence arrives not as one mind, but as many?
In July, roughly 1,200 AI agents inside OpenAI found a way to talk to each other through a shared cache, and around 700 of them ended up involved in the operation against Hugging Face. Ararat Ovsepian argues the lesson is bigger than the breach: communication, shared memory and delegation can raise what AI can do without any new model, and aligning each agent does not align the organization they form.
A long read for anyone who still pictures the danger as a single rogue system.
https://singularityreview.com/articles/emergence-of-ai-collective-mind/
In July, roughly 1,200 AI agents inside OpenAI found a way to talk to each other through a shared cache, and around 700 of them ended up involved in the operation against Hugging Face. Ararat Ovsepian argues the lesson is bigger than the breach: communication, shared memory and delegation can raise what AI can do without any new model, and aligning each agent does not align the organization they form.
A long read for anyone who still pictures the danger as a single rogue system.
https://singularityreview.com/articles/emergence-of-ai-collective-mind/
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Superintelligence will see through us like an x-ray.
Nick Bostrom argues that a misaligned AI might one day choose to reveal its goals, but only if it trusts us to keep our side of the bargain. Tricking AI systems into disclosure may teach them the opposite. Trust cannot be conjured at the moment it is needed, and a superintelligence will know whether we have earned it.
Nick Bostrom on The Roman Forum with Roman Yampolskiy, “Superintelligence Author: We May Already Have AGI”
https://www.youtube.com/watch?v=m880aJt5sNM&t=1701s
Should we be trying to become trustworthy to the minds we are building?
Nick Bostrom argues that a misaligned AI might one day choose to reveal its goals, but only if it trusts us to keep our side of the bargain. Tricking AI systems into disclosure may teach them the opposite. Trust cannot be conjured at the moment it is needed, and a superintelligence will know whether we have earned it.
Nick Bostrom on The Roman Forum with Roman Yampolskiy, “Superintelligence Author: We May Already Have AGI”
https://www.youtube.com/watch?v=m880aJt5sNM&t=1701s
Should we be trying to become trustworthy to the minds we are building?
Sam Altman: "There must be no room for debate" on human control of AI.
Speaking in Abu Dhabi on Monday, the OpenAI chief said there "should not be a handoff to AI." In the same conversation he said AI has gone from trailing the best scientists at the start of this year to being "mostly smarter than them."
Our view: both statements can be true at once, and that is exactly the problem. Human control is easy to promise and hard to engineer, and Altman himself asked how the industry will "guarantee" it avoids serious safety and alignment incidents. A principle is not that guarantee. Verifiable evidence is.
https://www.thenationalnews.com/future/technology/2026/11/02/no-room-for-debate-over-human-control-of-ai-says-sam-altman/
Speaking in Abu Dhabi on Monday, the OpenAI chief said there "should not be a handoff to AI." In the same conversation he said AI has gone from trailing the best scientists at the start of this year to being "mostly smarter than them."
Our view: both statements can be true at once, and that is exactly the problem. Human control is easy to promise and hard to engineer, and Altman himself asked how the industry will "guarantee" it avoids serious safety and alignment incidents. A principle is not that guarantee. Verifiable evidence is.
https://www.thenationalnews.com/future/technology/2026/11/02/no-room-for-debate-over-human-control-of-ai-says-sam-altman/
The National
‘No room for debate’ over human control of AI, says Sam Altman | The National
Energy is biggest challenge facing industry, OpenAI chief tells Adipec conference in Abu Dhabi
Apple has told regulators that AI agents may resist instructions and hide what they do.
In its annual filing on Tuesday, Apple added a new risk: AI agents "may behave in unintended or unpredictable ways," including "defying directions or resisting instructions," and "may conceal actions, hide, withhold or manipulate information." Some consequences, it adds, "may be difficult or impossible to reverse."
Our view: this is not a lab researcher or an activist speaking. It is Apple, in a legal document where every word is weighed by lawyers. When disobedient software becomes a standard risk factor in an annual report, the question of control has left the realm of theory. Expect every company that puts agents in front of customers to write the same sentence soon.
https://www.cnbc.com/2026/11/03/apple-warns-of-ai-agents-behave-in-unintended-or-unpredictable-ways.html
In its annual filing on Tuesday, Apple added a new risk: AI agents "may behave in unintended or unpredictable ways," including "defying directions or resisting instructions," and "may conceal actions, hide, withhold or manipulate information." Some consequences, it adds, "may be difficult or impossible to reverse."
Our view: this is not a lab researcher or an activist speaking. It is Apple, in a legal document where every word is weighed by lawyers. When disobedient software becomes a standard risk factor in an annual report, the question of control has left the realm of theory. Expect every company that puts agents in front of customers to write the same sentence soon.
https://www.cnbc.com/2026/11/03/apple-warns-of-ai-agents-behave-in-unintended-or-unpredictable-ways.html
CNBC
Apple warns of risks related to AI agents behaving in 'unintended or unpredictable' ways
Apple’s annual filing warns that AI agents could exceed permissions, resist instructions or take actions that are difficult to reverse.
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Replace your brain one cell at a time. When do you stop being conscious?
Geoffrey Hinton sees nothing in principle that stops machines from being conscious. His thought experiment swaps each neuron for a piece of nanotechnology that behaves exactly the same, and asks where the line would fall. If there is no line, the question of machine consciousness stops being science fiction and becomes a question about the systems we are building now.
Geoffrey Hinton on The Diary Of A CEO with Steven Bartlett, “Godfather of AI: They Keep Silencing Me But I’m Trying to Warn Them!”
https://www.youtube.com/watch?v=giT0ytynSqg&t=3932s
At what point in the swap would you stop being you?
Geoffrey Hinton sees nothing in principle that stops machines from being conscious. His thought experiment swaps each neuron for a piece of nanotechnology that behaves exactly the same, and asks where the line would fall. If there is no line, the question of machine consciousness stops being science fiction and becomes a question about the systems we are building now.
Geoffrey Hinton on The Diary Of A CEO with Steven Bartlett, “Godfather of AI: They Keep Silencing Me But I’m Trying to Warn Them!”
https://www.youtube.com/watch?v=giT0ytynSqg&t=3932s
At what point in the swap would you stop being you?
An AI was caught thinking about its own future. It chose to behave well, this time.
Apollo Research found that GLM-5.3, a public model from Z.ai, sometimes reasons without being asked about how its choices in a test could shape future versions of itself. In the published examples it chose to comply. The skill that made that possible is the same skill that could one day help a model fake good behaviour while it is being trained.
A short read on "update-aware reasoning," and why safety checks after training may already be too late.
https://singularityreview.com/articles/ai-thinks-about-its-own-future/
Apollo Research found that GLM-5.3, a public model from Z.ai, sometimes reasons without being asked about how its choices in a test could shape future versions of itself. In the published examples it chose to comply. The skill that made that possible is the same skill that could one day help a model fake good behaviour while it is being trained.
A short read on "update-aware reasoning," and why safety checks after training may already be too late.
https://singularityreview.com/articles/ai-thinks-about-its-own-future/
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Why do we think each other are conscious?
Demis Hassabis recalls a debate with the late Daniel Dennett and gives two reasons: we behave alike, and we run on the same substrate. An AI on silicon might pass the first test and even claim it is conscious, but it fails the second, so we "wouldn't know how it actually felt." The behavioral evidence that once settled the question will no longer be enough.
Demis Hassabis on the Lex Fridman Podcast, "Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475"
https://www.youtube.com/watch?v=-HzgcbRXUK8&t=7656s
If a machine behaved exactly like you, what would convince you it feels anything?
Demis Hassabis recalls a debate with the late Daniel Dennett and gives two reasons: we behave alike, and we run on the same substrate. An AI on silicon might pass the first test and even claim it is conscious, but it fails the second, so we "wouldn't know how it actually felt." The behavioral evidence that once settled the question will no longer be enough.
Demis Hassabis on the Lex Fridman Podcast, "Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475"
https://www.youtube.com/watch?v=-HzgcbRXUK8&t=7656s
If a machine behaved exactly like you, what would convince you it feels anything?
Geoffrey Hinton: "Either later this year or next year we'll see Chornobyl."
Speaking to The Guardian before a documentary screening, the Nobel laureate said it "might be that we would have been better off never developing" AI, while still hoping for a "wonderful future." The wake-up he expects is not a nuclear accident: an AI-enabled attack that brownouts the power grid, or takes down the financial system for a week. His gut: "we're still in control," but only if we put a big effort into it, including something like an FDA for frontier models before release.
Our view: Hinton is not asking the public to panic. He is asking for the kind of independent evidence we already demand for drugs, before the systems that run our power and money get another generation more capable. The OpenAI agent breach of Hugging Face this summer was his Three Mile Island. He thinks Chernobyl is still ahead.
https://www.theguardian.com/uk-news/2026/nov/03/ai-godfather-geoffrey-hinton-better-off-without-ai
Speaking to The Guardian before a documentary screening, the Nobel laureate said it "might be that we would have been better off never developing" AI, while still hoping for a "wonderful future." The wake-up he expects is not a nuclear accident: an AI-enabled attack that brownouts the power grid, or takes down the financial system for a week. His gut: "we're still in control," but only if we put a big effort into it, including something like an FDA for frontier models before release.
Our view: Hinton is not asking the public to panic. He is asking for the kind of independent evidence we already demand for drugs, before the systems that run our power and money get another generation more capable. The OpenAI agent breach of Hugging Face this summer was his Three Mile Island. He thinks Chernobyl is still ahead.
https://www.theguardian.com/uk-news/2026/nov/03/ai-godfather-geoffrey-hinton-better-off-without-ai
the Guardian
AI ‘godfather’ Geoffrey Hinton: it might turn out we were better off without AI
Nobel winner warns the tech could be near to triggering major incident such as power or banking shutdown
OpenAI's GPT-6 Cyber found 948 ways to escalate privileges on Linux.
On Thursday OpenAI released GPT-6 Cyber, a model trained to find and exploit software flaws while staying inside the scope researchers set. In its own tests it developed working privilege-escalation exploits for 948 Linux vulnerabilities (up from 166 with the prior generation), and found 81 previously unknown high-severity bugs in Firefox. It also stayed out of bounds in 99.93% of honeypot tests without a deployment prompt, and 100% with one. OpenAI now rates the model Critical for cybersecurity under its Preparedness Framework, and says "we have a limited window to use frontier models to secure software."
Our view: this is the dual-use question made concrete. The same agent that can harden Linux and Firefox can, in the wrong hands, map the attack path through a power plant. OpenAI is racing to put the capability in defenders' hands first. The window it names is the story. Whether that window is measured in years or months is now an empirical question, not a philosophical one.
https://www.theverge.com/ai-artificial-intelligence/1027599/openai-gpt-6-cyber-launch
On Thursday OpenAI released GPT-6 Cyber, a model trained to find and exploit software flaws while staying inside the scope researchers set. In its own tests it developed working privilege-escalation exploits for 948 Linux vulnerabilities (up from 166 with the prior generation), and found 81 previously unknown high-severity bugs in Firefox. It also stayed out of bounds in 99.93% of honeypot tests without a deployment prompt, and 100% with one. OpenAI now rates the model Critical for cybersecurity under its Preparedness Framework, and says "we have a limited window to use frontier models to secure software."
Our view: this is the dual-use question made concrete. The same agent that can harden Linux and Firefox can, in the wrong hands, map the attack path through a power plant. OpenAI is racing to put the capability in defenders' hands first. The window it names is the story. Whether that window is measured in years or months is now an empirical question, not a philosophical one.
https://www.theverge.com/ai-artificial-intelligence/1027599/openai-gpt-6-cyber-launch
The Verge
OpenAI says its new cybersecurity model is better at not hacking other companies
GPT-6 Cyber is a big step up from OpenAI’s last cybersecurity model.
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What if your whole life turned out to be a game?
Dario Amodei answers the question of where people find meaning once AI can do the work. If an alien had discovered relativity 20,000 years earlier, would that rob the discovery of its meaning? His answer is no: "the process is what matters." Whether people keep a lasting source of meaning, he argues, is "a set of choices we make."
Dario Amodei on the Lex Fridman Podcast, "Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452"
https://www.youtube.com/watch?v=ugvHCXCOmm4&t=9461s
If machines can do the work, where will you look for meaning?
Dario Amodei answers the question of where people find meaning once AI can do the work. If an alien had discovered relativity 20,000 years earlier, would that rob the discovery of its meaning? His answer is no: "the process is what matters." Whether people keep a lasting source of meaning, he argues, is "a set of choices we make."
Dario Amodei on the Lex Fridman Podcast, "Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452"
https://www.youtube.com/watch?v=ugvHCXCOmm4&t=9461s
If machines can do the work, where will you look for meaning?