From a dancer/ musician in California, to corporate infrastructure in the UK, to a complete reinvention in health. My journey has been quite the ride, and in 2023, it completely broke down. However, sometimes, loss can lead someone to their true calling in the end.
After returning to the UK in the early 2000s, I started to work with my father in energy & infrastructure. We built a successful business, but it eventually collapsed. Shortly after the collapse, I lost both of my parents, my career, and my son’s health took a turn for the worse. While full-time caring for my son during his recovery (he's doing much better, now), I did a lot of thinking. I decided to pivot my entire career to Health, because coming from a medical family in the Middle East (mum's side), it strangely felt like returning home.
Now working on my education, I have two choices for future consulting: Public Health & Infrastructure (the corporate, logical choice building on my extensive experience); or Health & Fitness (building on my massage therapy qualification, and love for movement).
The first choice still feels like it belongs to my old life, so I gently put it aside. The second is less glamorous, but it is my heart’s passion. It focuses on human bodies, fitness, and grassroots longevity. It finally feels like me, again. Like I did when I was dancing.
If you are facing a forced rebuild or considering a scary career pivot: trust the process, no matter how awful parts of it are! Sometimes losing a lot is the only way to find out who you were always actually meant to be.
#Longevity #Wellness #Reinvention
Demis Hassabis just described the exact architecture he is building to cure all human disease and said the breakthrough will not come gradually. It will hit all at once.
He is building a full platform to do it.
Think of it as a dozen AlphaFold-level models, each one covering a different step in the drug discovery process, all stitched together into a single engine that can be pointed at almost any disease area on earth.
AlphaFold solved protein structure. It then folded 200 million proteins in a single year.
Hassabis is now building the equivalent of that for every other step like protein interactions, molecular binding, toxicity prediction, drug design, and clinical stratification. Each one its own AlphaFold. All of them connected.
He is already testing it on disease profiles in pre-clinical stages right now.
Most biotech analysts still model drug discovery timelines in decades. McKinsey published a report estimating AI could reduce discovery timelines by 25 to 50 percent. Hassabis is not describing a 25 percent improvement.
He is describing a complete replacement of the process.
Do not expect a slow drip of results. Expect nothing for a few years and then a sudden explosion where everything works at once.
Demis is running the same play. At a scale that makes AlphaFold look like a warm-up act.
(Watch the full interview on YouTube at @twominutepapers channel)
NEW: Demis Hassabis believes AI could revolutionize medicine within years.
He says AI will help design new drugs, run most experiments in simulation, and cut drug discovery timelines from 10 years to months, weeks, or even days.
Midjourney made an ultrasound scanner. You know that. But what happens next?
Derya Unutmaz and I started talking about the scanner - and pretty quickly ended up somewhere much bigger: what happens when the body becomes something AI can keep measuring, comparing and simulating over time?
In our first BAIO episode, we get into:
☑️ Why the false-positive critique may miss the point.
☑️ Why Derya thinks cheap, repeatable imaging could feed digital twins.
☑️ The reason he believes clinical trials "completely" in silico may be feasible.
☑️ Why N-of-one medicine may flip from caveat to goal.
☑️ Why the Anthropic/Fable mess makes open models feel much more important.
By the way: we’re developing this format in public.
Maybe we name it The Eval from BAIO. Maybe that name is terrible. Maybe full episodes live on BAIO and X only gets clips (unlike this one). We’ll see (and you can tell us what you'd prefer).
I’m not ready to “start a podcast.” I just love talking to Derya about AI x bio. So we're going to do that on a pretty regular basis.
Forward this to all who want to pause AI. You will see many more such stories of lives being saved. This is why I am so adamant about standing against these decels.
Don’t let your life 'narrow'.
I’ve been an orthopedic surgeon for 30 years. The thing I watch happen to people — more than any injury or surgery — is what I call the narrowing.
Most of my patients have no idea it’s happening. They think it’s just aging. It’s not...
St Mary's saved my life in 2023. It's an amazing hospital, with amazing people staffing it. It deserves this redevelopment, a lot of it is maze-like and the buildings are elderly. I wish I could contribute more than just this post 💙
St Mary’s Hospital has cared for patients for more than 175 years.
The redevelopment is about much more than replacing old buildings. It is about securing the future of safe, modern healthcare at St Mary’s.
Read more and share your views: https://t.co/uy0VaLUUwY
People talk about AI, robots, and space.
I'm hoping nanobots become one of the next big breakthroughs for humanity.
Tiny guardians inside the body.
Dormant until needed.
Detect. Activate. Repair. Heal.
A future where we detect diseases early instead of fighting them when it's already too late.
Maybe not tomorrow, but one day.
For every human. 🌍🧬🤖
#Nanobots #AI #Biotech
President Trump signed the Quantum Executive Order today. It establishes a national effort to 'pursue development of a quantum computer at a scale intended to initiate the era of quantum-enabled scientific discovery'. With the intent to deliver at least one Q-computer by 2028.
Can someone ask Emma Pierson who bestowed upon her, or any journalist or academic, the moral and expert authority to decide to slow AI process on behalf of humanity and that it can’t help cure cancer in the next decade?
Their “caution” is not morally neutral. It is a decision made on behalf of millions of cancer and other diseases patients alive today, and many millions more who will be diagnosed in the coming years.
The real ethical question to ask is, “Who dies if AI is forced to move too slowly?” The answer is: eventually everyone, because AI not only will help cure every disease but solve aging itself and thus prevent death indefinitely.
RFI: Hantavirus case in Bariloche, Río Negro, Argentina, raises concern for possible person-to-person transmission after symptom onset near the end of the incubation period (~45 days)
Read more at: https://t.co/gaaBlNhY8k
A red heat-health alert has been issued across parts of England until 25 June. This is the highest level of alert and indicates a risk to everyone's health, not just vulnerable groups.
Learn more about how to stay safe in hot weather.
➡️ https://t.co/kI4xLn0NIK
"A team at the University of Basel has developed a versatile nanorobot with propulsion and payload modules."
The two reusable modules autonomously self assemble and could be used in medicine or industry.
University of Basel researchers developed a modular nanorobot 150 times smaller than a human hair. Guided magnetically, it uses DNA "Velcro" to attach a reusable propulsion unit to a refillable payload capsule.
In lab tests, it produced an anticancer drug directly on cancer cells, reducing their viability to 16% within 72 hours
A new, more capable version of Mythos has emerged from training. I don't know whether it will be called Mythos 5.1 or Mythos 6, or if Anthropic will keep it internal to accelerate further development - but it has arrived.
Stopping models like Fable 5 or Mythos 5 from being served to the public does nothing to slow down development. In fact, it probably speeds it up slightly by freeing up resources. There are also no rules preventing the labs from continuing to advance capabilities while any current model is under embargo - or from keeping progress quiet until they choose to release it. None of them can afford to pause or slow down. We need only look at how capable GLM-5.2 is as proof of this. To protect their business models, the frontier labs must continually train increasingly capable systems to stay ahead of open source, and each other. The current continues to rage beneath the ice, and we continue to race toward our destination.