I_Nidhi

In biological age clocks, the kind COSMOS used, skin is one of the primary tissues researchers use to validate them. Epigenetic methylation patterns in skin cells are among the most studied markers precisely because skin is accessible and responds visibly to the same aging processes the clocks are trying to measure from blood.

The COSMOS trial gives everyone the same pill and measures a whole-body average signal from blood samples. It can't tell you which vitamin drove the effect or where in the body it's acting. It's a limitation of what a broad systemic intervention can tell you. The more targeted work is happening at the tissue level.

In skin specifically, L'Oréal and UC San Diego looked at 1,000+ subjects in 2024 and found that bacterial diversity in the skin microbiome correlates directly with both chronological age and wrinkle depth. They're building these as actual measurable aging biomarkers. Unilever's 2025 study also showed that people whose facial microbiome had higher Acinetobacter and lower Staphylococcus aureus were read as biologically 5–7 years younger. Many other companies are also researching biomarkers for skin anti-aging, and now the longevity trend is being seen in the food industry as well.

Microbiome as a modifiable aging clock is where the real specificity is starting to come from. I work in this space, and we recently mapped where this research is heading. We also did a session exploring the underlying science if you want to go deeper: https://greyb.com/resources/skin-microbiome-beauty/

L'Oréal Study: https://www.frontiersin.org/journals/aging/articles/10.3389/... Unilever Study: https://academic.oup.com/bjd/article/193/Supplement_2/ii24/8...

When writing about complex topics, it gets tough to get below grade 11. Sometimes, it's the complex terms that cannot be replaced. Has anyone tried the Hemingway app? How do you solve this challenge?

By comparing GPT’s responses to global survey data from 65 countries, the authors show that GPT’s psychology most closely mirrors people from WEIRD societies (Western, Educated, Industrialized, Rich, and Democratic). In fact, the further a country is from the U.S. culturally, the less GPT behaves like its population.

Interesting idea. Is there a context for how these stories are being picked up, or is it just to compile all the recent stories in one place?

Is it all in how it's filtered?

Hundreds of weight loss and diabetes jab users report pancreas problems. Some cases of pancreatitis reported to be linked to GLP-1 medicines have been fatal.

It’s pretty wild to think intelligence might have evolved more than once in vertebrates. The example of birds and mammals both developing complex brains is fascinating. It makes you wonder how much untapped potential animals might have in terms of intelligence that we haven’t fully understood yet.

Though it's easy to dismiss as science fiction, this timeline paints a chillingly detailed picture of a potential AGI takeoff. The idea that AI could surpass human capabilities in research and development, and the fact that it will create an arms race between global powers, is unsettling. The risks—AI misuse, security breaches, and societal disruption—are very real, even if the exact timeline might be too optimistic.

But the real concern lies in what happens if we’re wrong and AGI does surpass us. If AI accelerates progress so fast that humans can no longer meaningfully contribute, where does that leave us?

I think MIT's breakthrough is a huge step forward, but it also highlights just how tricky drug delivery still is. Scaling up nanoparticle production is essential if we ever want these treatments to be more than just a cool lab experiment. But even with this progress, we’re still stuck with the same old problem—getting drugs exactly where they need to go without wrecking the rest of the body.

That’s why I find DNA nanobots fascinating, even if they still feel a little like science fiction. Instead of just improving how we make nanoparticles, DNA nanobots could take targeting to another level—programming them to only release drugs when they hit specific cancer markers. The idea of a ‘smart drug courier’ that doesn’t dump toxins everywhere is really appealing. Will it actually work in humans at scale? Who knows. But five years ago, I wouldn’t have expected MIT to make mass nanoparticle production look feasible either.

If you’re curious about the DNA nanobot approach: https://dnananobots.com/antibody-drug-conjugates/

The thing is if someone prepared for an interview and cracked the job, they have to be good at it. I have realised that it's often our perception of them which makes them bad at the their jobs. Similar to how we usually blame motivation when the actual problem is clarity of role or job. If we believe in the motive behind it and have clarity of our role in it, motivation does not remain an issue.

We make the jobs bad by not being able to properly share the incentive behind it, what good it brings and to whom. Most of the time people don't want to work because they don't see the ROI in it.

I'm not usually into historical fiction, so I skipped it, but I've been sleeping on something great, haven't I?

Reminds me of the time we made geometric art using a compass. https://homeschoolmath.blogspot.com/2013/02/geometric-art-pr...

The idea is whether the AI can come up with ideas independently, is curious to develop questions, and find answers. In the case of Claude or any AI model, the first input is always from a human. The prompt given is more valuable because, without it, AI would have all the data and computational strength in the world, but wouldn't know what to do with it.

"Humanity’s Last Exam" may be a rigorous test of fact-check and pattern recognition, but does it truly measure intelligence, or just a model's ability to absorb and regurgitate structured knowledge?

I mean it's one thing doing maths, and finding historical facts and figures(Google made that very easy), but a whole other thing to ask meaningful, novel questions.

I think true AGI isn’t about scoring an A on an exam, but about the moment an AI starts asking questions humans never thought to ask.

Paprika oleoresin is orange when lightened even though it looks red at first, annatto as well, radish powder is purplish and smells terrible, beetroot looks dull muddy red, anthocyanins don't look red at alkaline ph and aren't oil soluble, madder is said to be toxic, cochineal disgusts me, are there other alternatives? Lycopene seems the best so far.

Well, at some point in your personal and professional life, you need to learn to let go, hand over, or pass on your responsibilities to the next person so that you can take on bigger, more critical challenges. Yes, it will take time, and no, they won't be your copycats, but you never know—they will make things easier for you and even better for your business.

With intelligent packaging, I mean more critical developments from the consumer perspective, such as functional indicators that tell you if a food item has gone bad in real-time through color indicators or inks that can be scanned to identify counterfeit medicines.

Yeah, the market size is a general fact I picked up.

Rising cocoa prices and changes in consumer preference are pushing candy makers to introduce new, "chocolate-free" options.

According to Nielsen IQ, the average unit price for chocolate has jumped 40% since 2020. Meanwhile, fruit and sour candies are cheaper to make and experiment with.

If it is, then I believe new sugar alternatives are in order since FDA released a warning against aspartame.

After 10 years of working at Google (or any organization), quitting is definitely hard, mentally tiring, and emotionally exhaustive. But the identity crisis that hits after, is another rollercoaster.

12 news patents were published in 2023 alone with Steve Jobs name as an innovator. Surprisingly, these patents were applied after 2011.