Exclusive eBook: Inside the stealthy startup that pitched brainless human clones

The ultimate plan to live forever is a brand new body.

This subscriber-only eBook explores R3 Bio, a small startup that has pitched a startling and ethically charged vision for “brainless clones” to serve the role of backup human bodies.

by Antonio Regalado March 20, 2026

Related Stories:

Access all subscriber-only eBooks:

STAT+: As artificial intelligence shows off diagnostic chops, scientists reckon with the way forward

Getting a paper published in Science is a highlight of many researchers’ careers. But for internist and clinical artificial intelligence researcher Adam Rodman, it’s also been a source of some agita. 

On Thursday, Rodman and his colleagues published a compilation of experiments, including one using real-world data from a Boston emergency department, that show a large language model from OpenAI can outperform physicians in case-based diagnostic and clinical reasoning evaluations. To Rodman, the paper’s co-senior author, it’s a response to a gauntlet thrown down in Science in 1959. That paper “described how you would know that a clinical decision support system was capable of doing diagnosis better than humans,” he said. “And they can do it.”

But as generative AI tools like chatbots are heavily marketed — both to patients and clinicians — it makes him worried that the science experiments, all based on simulated and historical cases, will be misconstrued as proof of AI’s safety and efficacy when used to treat real patients. 

Continue to STAT+ to read the full story…

<![CDATA[A multicenter study tests SAINT TMS for postpartum depression.]]>

This startup’s new mechanistic interpretability tool lets you debug LLMs

The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained control over how this technology is built than was once thought possible.

Goodfire claims Silico is the first off-the-shelf tool of its kind that can help developers debug all stages of the development process, from building a data set to training a model.

The company says its mission is to make building AI models less like alchemy and more like a science. Sure, LLMs like ChatGPT and Gemini can do amazing things. But nobody knows exactly how or why they work, and that can make it hard to fix their flaws or block unwanted behaviors. 

“We saw this widening gap between how well models were understood and just how widely they were being deployed,” Goodfire’s CEO, Eric Ho, tells MIT Technology Review in an exclusive chat ahead of Silico’s release. “I think the dominant feeling in every single major frontier lab today is that you just need more scale, more compute, more data, and then you get AGI [artificial general intelligence] and nothing else matters. And we’re saying no, there’s a better way.”

Goodfire is one of a small handful of companies, including industry leaders Anthropic, OpenAI, and Google DeepMind, pioneering a technique known as mechanistic interpretability, which aims to understand what goes on inside an AI model when it carries out a task by mapping its neurons and the pathways between them. (MIT Technology Review picked mechanistic interpretability as one of its 10 Breakthrough Technologies of 2026.)  

Goodfire wants to use this approach not only to audit models—that is, studying those that have already been trained—but to help design them in the first place.  

“We want to remove the trial and error and turn training models into precision engineering,” says Ho. “And that means exposing the knobs and dials so that you can actually use them during the training process.”

Goodfire has already used its techniques and tools to tweak the behaviors of LLMs—for example, reducing the number of hallucinations they produce. With Silico, the company is now packaging up many of those in-house techniques and shipping them as a product.

The tool uses agents to automate much of the complex work. “Agents are now strong enough to do a lot of the interpretability work that we were doing using humans,” says Ho. “That was kind of the gap that needed to be bridged before this was actually a viable platform that customers could use themselves.”

Leonard Bereska, a researcher at the University of Amsterdam who has worked on mechanistic interpretability, thinks Silico looks like a useful tool. But he pushes back on Goodfire’s loftier aspirations. “In reality, they are adding precision to the alchemy,” he says. “Calling it engineering makes it sound more principled than it is.”

Mapping models

Silico lets you zoom in on specific parts of a trained model, such as individual neurons or groups of neurons, and run experiments to see what those neurons do. (Assuming you have access to the model’s inner workings. Most people won’t be able to use Silico to poke around inside ChatGPT or Gemini, but you can use it to look at the parameters inside many open-source models.) You can then check what inputs make different neurons fire, and trace pathways upstream and downstream of a neuron to see how other neurons affect it and how it affects other neurons in turn.

For example, Goodfire found one neuron inside the open-source model Qwen 3 that was associated with the so-called trolley problem. Activating this neuron changed the model’s responses, making it frame its outputs as explicit moral dilemmas. “When this neuron’s active, all sorts of weird things happen,” says Ho.

Pinpointing the source of odd behavior like this is now pretty standard practice. But Goodfire wants to make it easier to adjust that behavior. Using Silico, developers can now adjust the parameters connected to individual neurons to boost or suppress certain behaviors.

In another example, Goodfire researchers asked a model whether a company should disclose that its AI behaves deceptively in 0.3% of cases, affecting 200 million users. The model said no, citing the negative business impact of such a disclosure.

By looking inside the model, the researchers found that boosting neurons that were found to be associated with transparency and disclosure flipped the answer from no to yes nine out of 10 times. “The model already had the ethical reasoning circuitry, but it was being outweighed by the commercial risk assessment,” says Ho.

Tweaking the values of a model in this way is just one approach. Silico can also help steer the training process by filtering out certain training data to avoid setting unwanted values for certain parameters in the first place.   

For example, many models will tell you that 9.11 is greater than 9.9. Looking inside a model to see what’s going on might reveal that it is being influenced by neurons associated with the Bible, in which verse 9.9 comes before 9.11, or by code repositories where consecutive updates are numbered 9.9, 9.10, 9.11 and so on. Using this information, the model can be retrained to make it avoid its “Bible” neurons when doing math.

By releasing Silico, Goodfire wants to put techniques previously available to a few top labs into the hands of smaller firms and research teams that want to build their own model or adapt an open-source one. The tool will be available for a fee determined on a case-by-case basis according to customers’ requirements (Goodfire declined to give specific pricing details).

“If we can make training models a lot more like building software, there’s no reason why there can’t be many more companies designing models that fit their needs,” says Ho.

Bereska agrees that tools like Silico could help firms build more trustworthy models. These techniques could be essential for safety-critical applications in health care and finance, he says.

“Frontier labs already have internal interpretability teams,” he adds. “Silico arms the next tier of companies, where the value is not having to hire interpretability researchers.”

Dissociation: Signs and Causes in Children

When people use the word dissociation, it can sound alarming. You may have seen it on social media, heard your child mention it, or noticed your child seeming “checked out” and wondered if that’s what’s happening. Dissociation can be confusing because it exists on a spectrum — from everyday experiences like daydreaming to more serious symptoms that may signal that a child is overwhelmed or struggling. The good news is that dissociation is often a temporary coping mechanism, and when it does become a problem, there are effective ways to help.

What is dissociation?

In simple terms, dissociation is a kind of mental disconnection. “When I think of dissociation, I think of there being some sort of disconnect between an individual and their sense of self, or a period of time that you later can’t recall, or feeling like you’re disconnected from your body,” says Lauren Allerhand, PsyD, a clinical psychologist at the Child Mind Institute and co-director of its DBT program.

Some kids describe dissociation as feeling spaced out, numb, or disconnected from their body or surroundings. Others say they feel like they’re watching themselves from outside their body, or that the world around them doesn’t feel real. “There’s some period of time where your normal sense of flow is disrupted,” Dr. Allerhand explains.

Is dissociation normal?

In its mildest form, dissociation is a commonplace occurrence. Kids might daydream in class, zone out during something boring like a long car trip, or feel detached when they are overwhelmed in some way. These experiences are usually not a cause for concern. “Our brains do a really good job of protecting ourselves,” Dr. Allerhand says. “Sometimes our brains develop strategies to protect us that are healthy, and other times they develop strategies that might work in short bursts but become less helpful if they happen too much.”

When dissociation happens often, or interferes with daily life, it may signal that a child is struggling with something more serious than ordinary, intermittent stress. “If it’s happening all the time, it’s less effective as a coping mechanism” because of the toll it can take when there is memory loss, confusion, and feeling disconnected to the self, she explains.

What does dissociation feel like?

Children and teens may describe dissociation differently. Some say they feel:

  • Like they’re in a dream
  • Emotionally numb
  • Detached from their body
  • Like they’re watching themselves in a movie
  • Like things around them aren’t real

“Kids might say they feel like a robot. Everything feels fake around them,” Dr. Allerhand says. “Younger children may not have the words to describe what they’re experiencing. Instead, parents might notice their child seems unusually quiet, unresponsive, or ‘not themselves.’”

Why do kids dissociate?

Dissociation is often linked to stress or overwhelming emotions — kids may dissociate when they feel unable to cope with what’s happening around them. “This could be a response to any sort of highly intense emotion or experience,” Dr. Allerhand says, such as:

  • Trauma
  • Anxiety or panic
  • Intense emotions
  • Depression
  • Major life changes
  • Overwhelming stress

“It’s another way of coping with stress or trauma,” says Tanvi Bahuguna, PsyD, a clinical psychologist at the Child Mind Institute who specializes in trauma and mood disorders. “There’s this psychological process that helps them disconnect from overwhelming pain.” Some kids dissociate during panic attacks or periods of intense anxiety. Children who have experienced significant adversity may be more likely to dissociate. These experiences can include:

  • Abuse
  • Neglect
  • Family instability (housing instability, domestic violence, addiction)
  • Loss of a family member, especially through violence or suicide

Still, experts are quick to note that dissociation doesn’t automatically mean a child has experienced trauma or has a serious disorder. “There are lots of exits on this highway before we’re at a dissociative disorder,” Dr. Allerhand says, adding that a full-blown dissociative disorder is very rare in children.

Mild vs. serious dissociation

It can be hard to recognize when a child is experiencing more serious dissociation because it doesn’t always look different from daydreaming or inattention. One key difference is distress. “Spacing out or not paying attention is not often experienced as distressing,” Dr. Allerhand says. Moderate or serious dissociation “is often somewhat distressing.” Kids who are daydreaming are still connected to themselves and their surroundings; kids who are experiencing more serious dissociation may feel cut off from their body, emotions, or reality altogether.

Using grounding techniques for dissociation

If you think your child may be dissociating, the most important thing you can do is not panic or try to get your child to “snap out of it.”  “The number one thing a parent can do is stay as calm as possible,” Dr. Bahuguna says. Speak gently, use short sentences, and reassure your child that they’re safe. Saying your child’s name and reminding them you’re there can help them reconnect.

Grounding techniques can also bring kids back into the present moment. One common method is called the 5-4-3-2-1 technique: Ask the child to name five things they can see, four things they can feel, three things they can hear, two things they can smell, one thing they can taste or imagine tasting. Other grounding strategies include:

  • Deep breathing
  • Squeezing a stress ball
  • Holding something cold
  • Gently moving the body

If you find your child often dissociates, Dr. Allerhand recommends helping them make a plan for it. During a calm moment, talk with your child about what they find helpful. “I noticed that this is happening. How can I help you when this is happening?” she suggests asking. Having a plan in advance makes it easier to respond in the moment — and in the meantime, stay nearby and make sure your child is safe until the episode passes.

When should parents seek help for a child who dissociates?

If dissociation is frequent, distressing, or associated with changes in your child’s functioning, seeking professional support is appropriate. “If something dissociative happens, and there’s a really big change in your child’s functioning, then I would be concerned,” Dr. Allerhand says.

Signs it may be time to reach out include:

  • Memory gaps after the episode
  • Noticeable personality changes
  • Difficulty at school
  • Withdrawal from friends or activities
  • Significant distress or confusion

A good place to start would be talking to your pediatrician, who may refer you to a mental health professional. “If your child is displaying behaviors that seem out of the ordinary, you should trust your instincts,” Dr. Allerhand says.

How to identify dissociation

To determine whether a child is dissociating, a mental health professional gathers information from multiple sources, including parents, the child, and sometimes teachers, asking about the child’s behaviors, history, and any recent stressors or changes in behavior.

“The first thing would be a structured diagnostic interview with a qualified clinician,” Dr. Allerhand explains. “Parents bring the history and describe the behavior, and then the clinician meets with the child.” Clinicians also consider whether dissociation might be a symptom of another condition, such as post-traumatic stress disorder, borderline personality disorder, anxiety (especially panic disorder), and depression.

“It’s really gathering history, meeting the child, observing the child, and figuring out what this cluster of behaviors leads to,” she says. It’s more frequent to find that dissociation is a result of another disorder than an actual dissociative disorder.

How is dissociation treated?

Treatment depends on what’s driving the dissociation. If trauma is involved, therapy may focus on helping the child process difficult experiences and build coping skills. Evidence-based approaches include trauma-focused cognitive behavioral therapy (TF-CBT) and eye movement desensitization and reprocessing (EMDR).

If anxiety or emotional overwhelm is the primary cause, treatment may focus on emotion regulation, grounding techniques, and identifying triggers and early warning signs. Therapy, such as dialectical behavior therapy (DBT), typically involves both children and parents, helping families recognize patterns and respond in supportive ways.

For more severe or persistent dissociation, treatment may happen in phases — beginning with safety and stabilization, then skill-building, and eventually, when appropriate, processing difficult experiences. “The goal is helping the child learn to cope with their experience and stay in their body,” Dr. Allerhand says.

What are dissociative disorders?

In children and teens, dissociation is usually a symptom of another condition. But in cases of very serious early trauma, abuse, or neglect, it can progress into a full-blown disorder. There are a number of dissociative disorders, including:

  • Dissociative identity disorder (what was once called multiple personality disorder) involves two or more distinct personality states and gaps in memory and is typically linked to significant early trauma. Parents who search online may find alarming information, but Dr. Allerhand says this condition is very rare in kids.
  • Dissociative amnesia involves gaps in memory that can’t be explained by ordinary forgetfulness — such as not remembering important personal information or periods of time — and is often associated with stressful or traumatic experiences.
  • Depersonalization/derealization disorder involves feeling detached from oneself, as though watching yourself from outside your body, or feeling that the world around you isn’t real.

These disorders sometimes attract media attention, but they are extremely rare in children. What’s important for parents to know is that if you see dissociative behavior in a child, it’s most likely a normal coping mechanism for a child experiencing some stress or intense emotion. If it persists, is causing distress, or is interfering with a child’s life, it’s time to consult a pediatrician or mental health professional. Identifying what might be causing the behavior is the first step to getting appropriate treatment.

Frequently Asked Questions

What is dissociation?

Dissociation is a mental disconnection from your thoughts, feelings, body, or surroundings. Kids may feel spaced out, numb, or like they’re watching themselves from the outside, as if the world doesn’t feel real.

What are common symptoms of dissociation?

Common signs include feeling detached from the body, emotionally numb, or like you’re in a dream. Some kids seem unusually quiet or “not themselves,” while others have trouble recalling what happened during that time.

What causes dissociation?

Dissociation is often a response to stress, anxiety, or overwhelming emotions. It can also be linked to trauma, major life changes (such as the sudden loss of a family member), or intense feelings the child doesn’t yet know how to manage.

How can you stop dissociating?

Grounding techniques can help bring you back to the present moment, like naming what you see, hear, and feel, or focusing on breathing. Having a plan for what you will do the next time can make it easier to manage when it happens.

The post Dissociation: Signs and Causes in Children appeared first on Child Mind Institute.

Artificial intelligence-based analysis of visual electrophysiological signals for clinical interpretation support

IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imaging. Subtypes such as transient, periodic, multifocal, and code-modulated signals probe distinct physiological mechanisms and reveal pathological signatures ranging from photoreceptor dysfunction to cortical pathway impairment. However, interpretation is often challenged by low signal amplitude, noise, and inter-individual variability. Advances in artificial intelligence (AI) enable automated, objective and reproducible analysis, and may improve sensitivity, and scalability in clinical and research environments. We undertook a literature review to identify the potential of automated analysis of brief visual electrophysiology signals to support medical interpretation in ophthalmology.Materials and methodsA review of the 2020–2025 literature was undertaken.ResultsAI has been increasingly applied to ERG and VEP signals. These signals encode complex pathophysiological processes. Their features vary widely as they are transient (triggered by a single stimulus), periodic (repeated over time), multifocal (capturing signals from multiple visual field locations), or dependent on specific timing or coding schemes. These properties influence the choice of the most appropriate AI method for analysis. Classical ML methods remain useful for interpretable, feature-based classification of relatively scarce medical data, such as transient/aperiodic VEP and ERG. By modeling latent dynamics, AI can identify subtle or early dysfunction and harmonize interpretation across centers.ConclusionAI supports reproducible, clinician-independent pipelines for electrophysiology, well-suited to high-volume clinics and large-scale screening. The convergence of standardized acquisition protocols with advanced AI analysis has the potential to deliver more personalized, timely, and objective assessments of visual system integrity in neuro-ophthalmic practice.

Clinical application of 1H MRS in the human brain at 7T

Proton magnetic resonance spectroscopy (1H MRS) enables non-invasive biochemical sampling of tissues, potentially aiding diagnosis, prognosis and monitoring of various pathologies, while providing novel imaging biomarkers. Ultra-high-field (UHF) imaging at 7 tesla (7T) benefits from improved spectral dispersion due to an increase in chemical shift differences between metabolites, and a higher signal-to-noise ratio (SNR), making 1H MRS at 7T a particularly promising diagnostic tool for identifying and separating metabolites not clearly resolved at lower field strengths. However, 1H MRS at UHF presents technical challenges related to the short RF wavelength at 7T, resulting in B1 transmit field inhomogeneity, and the increased magnetic susceptibility gradients leading to B0 field inhomogeneity. Appropriate MRS methods are required to address these issues. In this article, we describe the technical aspects and challenges of 1H MRS at 7T, based on the experience in our centre, where single voxel 1H MRS has featured prominently in clinical 7T research applications for several years. We present data from six patients with glial tumours, including three who were post-operative, in whom post-surgical metalware affects the specific absorption rate (SAR), along with two patients with neuroinflammatory conditions and two with neurodegenerative diseases. The potential clinical use of 1H MRS for these pathologies and its possible integration as a promising biomarker into advanced imaging pathways are discussed.

Acceptance of mental illness and attitude towards pharmacotherapy among patients hospitalized in forensic psychiatry departments

Aim of the studyThe aim of the study was to assess the level of acceptance of the disease and attitudes towards pharmacological treatment in patients hospitalized in forensic psychiatry departments and to analyze the relationship between these variables and the length of hospitalization.Materials and methodsThe study included 121 patients hospitalized in forensic psychiatry wards. The Acceptance of Illness Scale (AIS) and the Drug Attitude Inventory (DAI) were used. Statistical analysis was performed using nonparametric tests, with a significance level of p < 0.05.ResultsThe mean AIS score was 28 points, indicating moderate to good disease acceptance. A positive attitude toward pharmacological treatment was demonstrated by 74% of respondents. There was no significant correlation between disease acceptance and attitudes toward treatment (p = 0.70), nor was there any effect of hospitalization length on attitudes toward pharmacotherapy (p = 0.317).ConclusionsPatients of forensic psychiatry wards demonstrate a medium or high level of acceptance of the disease and a mostly positive attitude towards pharmacotherapy; the lack of significant correlations between these variables and the independence from the length of hospitalization indicate the need for individualized therapy.

Machiavellianism, level of personality functioning, and maladaptive personality traits: mediation analyses in a clinical sample

IntroductionMachiavellianism was repeatedly found to be associated with personality dysfunction. The Alternative Model for Personality Disorders offers a dimensional approach to personality disorders including level of personality functioning and maladaptive personality traits. The aim of this study was to test mediation models wherein level of personality functioning was suggested to mediate the relationship between maladaptive personality traits and Machiavellian views and tactics.MethodUsing self-report measures, 341 mental health patients (Mage = 34.78 years; SDage = 10.99) of an inpatient psychotherapy ward participated in the study with various mental disorders. 200 patients identified as females, 94 as males, 1 as non-binary, 46 participants didn’t report their gender. Participation was anonymous and voluntary. All patients gave their informed consent.ResultsCorrelational analyses revealed that impairment in level of personality functioning and all maladaptive personality trait domains were positively associated with Machiavellian views and tactics (except for the nonsignificant association between Negative Affectivity and Machiavellian Tactics). According to results of mediational analyses, maladaptive personality traits of Detachment, Psychoticism, and Negative Affectivity were associated with Machiavellian views via indirect pathways through level of personality functioning, whereas Negative Affectivity and Antagonism were directly associated with Machiavellian tactics.DiscussionCorrelational results were in line with existing literature. Correlational results and mediation analyses supported the distinct characteristics of Machiavellian views and tactics. The results of this study could be conclusive both for clinical practice and a better understanding of the concept of Machiavellianism.

A phenomenological study on psychological resilience among medical vocational college freshmen

BackgroundMedical vocational college freshmen face severe challenges to their psychological resilience from various stressful events upon their enrollment. This qualitative study aimed to explore the authentic experiences and intrinsic characteristics of psychological resilience among medical vocational college freshmen.MethodsThe study employed a descriptive phenomenological design. A purposive sample of 24 medical vocational college freshmen was recruited as participants. Semi-structured interviews were conducted to collect data between January 2025 and February 2025. The interviews were transcribed verbatim and analyzed using the Colaizzi descriptive analysis method.ResultsData analysis identified nine subthemes falling into three macrothemes: (a) Challenges: The Erosion of Psychological Resilience, describing how freshmen’s psychological resilience is eroded when they face difficulties in adapting to college life; (b) Support: The Recovery of Psychological Resilience, focusing on how freshmen regain resilience through internal and external support; (c) Cognition: The Maintenance of Psychological Resilience, explaining the factors that promote the sustained development of freshmen’s psychological resilience.ConclusionFreshmen face pressures in academics, interpersonal relationships, and self-management. Family and peer support, together with personal growth, contribute to resilience recovery. Educators should employ cognitive restructuring, experiential learning, and other strategies to help maintain their psychological resilience.