SciTech Era @SciTechera

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I asked Claude what if human aging became reversible.

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SPACEFLIGHT IS ABOUT TO ENTER A NEW ERA. SpaceX is preparing to attempt something extraordinary. It has already successfully caught its Super Heavy booster 3 times, but has never attempted to catch Starship's upper stage, which returns from orbital altitude at far higher speeds. Now, for the first time, Starship aims to catch BOTH its Super Heavy booster and Starship spacecraft after a single flight. If successful, it would mark the first time an entire orbital launch vehicle has been recovered. And this is where things get even more exciting! Full reusability could dramatically reduce launch costs, shorten turnaround times, and make spaceflight far more frequent and accessible. For perspective, Falcon 9 currently costs customers roughly $3,000 per kilogram to low Earth orbit, while a fully reusable Starship could potentially bring that figure below $1,000 per kilogram.👀 spaceX has even outlined an ambitious vision of launching Starship more than 10,000 times annually by 2030. Elon Musk calls it a “profound technology milestone in the history of civilization and consciousness.” And eventually, a pathway toward making humanity a multiplanetary civilization.

The age of autonomous work is close to your eyes.

Be ready, guys! Starting yesterday, I'm going to post lots of incredible breakthroughs, science and tech news, opinions, and so on. Now, I'm going to dedicate a lot more time to @SciTechera! Finally, X also took me into their monetization program. Also, drop your favorite science and tech accounts below 👇🏻

AI will expand what we can think and discover. Robotics will expand what we can build and produce. Abundant energy will help power both. And for that, I still think Small Modular Reactors (SMRs) are massively underrated. SMRs could eventually generate electricity at a projected cost of $60–$80 per 1,000 units. That's just 6–8 cents per unit, with reliable, carbon-free power around the clock. Some advanced designs could operate for years, or even decades, without refueling. Although, we need more better ways to harness, store and utilize energy. Imagine what this could mean for AI data centers, automated factories, and energy-intensive industries. More abundant energy = faster innovation = more possibilities for humanity.

Doctors and physicians are getting seriously cooked. People's trust in AI is growing day by day. we aren't ready for what's coming! AI CAN NOW PREDICT CANCER SURVIVAL FROM JUST A FACIAL PHOTO. Researchers at brigham developed (FAHR-Face), an AI model trained on 40M+ facial images that can estimate biological age and predict cancer survival risk from a photograph.👀 Its survival model identified patient groups with dramatically different outcomes, with a reported 3.23× mortality hazard in the highest-risk quartile versus the lowest. Imagine what happens when AI goes beyond predicting disease outcomes to discovering new treatments. source: news.massgeneralbrigham.org/en/ai-facial-r… paper: thelancet.com/journals/landi…

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AI is changing the definition of things. AI is changing the speed at which we process information. AI is changing how work is done across every sector. AI is changing the style of doing things. AI is changing how we learn and acquire knowledge. AI is changing how we approach problems and find solutions. AI is changing how we develop software and build products. AI is changing how scientific research is conducted. AI is changing the speed at which we can explore new ideas and discoveries. AI is changing how we design, engineer, and manufacture things. AI is changing how we make decisions. AI is changing the relationship between human intelligence and machine intelligence. AI is changing how we automate complex tasks. AI is changing how we turn ideas into reality. AI is changing the speed at which humanity advances scientifically and technologically. Welcome to the AI powered @Scitechera !

Aging and longevity, cancer, neurodegenerative diseases, regenerative medicine, drug discovery.. (Research is accelerating) but behind the scenes, so much more is happening!👀 AI designs a molecule. Automated labs bring that design to life and test it. The results help improve the next design. Now imagine this cycle running continuously at scale, with each experiment bringing scientists closer to discovering new biological solutions. The ultimate goal is much bigger than understanding a single protein or disease. We still have enormous challenges ahead. But we're in the early stages of the AI revolution in biotech. Even, Claude just designed proteins against deadly toxins in 64 hours. Imagine what this could mean for the future of medicine. Anthropic's AI generated 318,484 protein designs. Laboratory tests confirmed 17 binders against 4 of the 5 targeted scorpion toxins. Now imagine applying increasingly capable AI systems to human diseases, regenerative medicine, and aging. - AI could help scientists design new proteins to target disease-causing molecules. (IT'S ALREADY HAPPENING AT SCALE) - AI could help researchers investigate the biological mechanisms behind aging and develop potential treatments for conditions that remain difficult to treat today. - Combined with automated laboratories, AI could accelerate the cycle of designing, testing, and improving potential medicines as well.

Anthropic @AnthropicAI

2 days ago

New on our Science Blog: designing protein binders against scorpion neurotoxins. Scorpions sting about 1.2m people every year, and antivenoms are often costly or in short supply. Claude has made an early step toward finding new treatments. anthropic.com/research/claud…

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Intelligence creates innovation. Innovation creates abundance/automation. Abundance creates freedom. Freedom gives us more time to discover what truly matters, pursue our purpose, and explore so-called impossibilities.

Frontier models = More intelligence = Greater potential for big breakthroughs. Open-weight models = Higher adoption and more affordable intelligence. 👀 We're moving toward a world of commoditized intelligence. Because developers don't always need the smartest AI model. They need one that's good enough, fast, affordable, and reliable. As intelligence becomes cheaper and more widely available, the real competitive advantage will shift toward AI agents, better products, lower costs, and the ability to solve real-world problems. The future might not belong to whoever builds the smartest model, but to whoever makes the most intelligence useful to the most people. And this could make AI far more accessible than ever before.

The Information @theinformation

4 days ago

OpenAI, Anthropic and other leading AI labs face a growing challenge: Better models aren't necessarily attracting more usage. A 10-point intelligence advantage now earns just 20% more developer traffic, down from nearly 69% in late 2025. Full story: thein.fo/4hGJ9jY

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autonomous future is accelerating. 👀 More automation = more abundance of time = more incredible breakthroughs! WAYMO ROBOTAXIS REPORTED 95% FEWER SERIOUS CRASHES THAN HUMAN DRIVERS. Now, the company reportedly plans to expand its fleet from 4,000 to 20,000 driverless cars by the end of 2027. I think we're massively underestimating what's coming. We might reach a point where almost everything humans do today becomes automated. 👀 And I feel this is just the beginning!

We are unlocking new ways to design and manufacture complex medicines. Impossible problems = are becoming possible in this era. Scientists just captured near-atomic images of an enzyme that builds the core structure of a complex anticancer drug.👀 For a long time, the project seemed impossible. The enzyme kept clumping together in solution, making it extremely difficult to image. This breakthrough came when researchers discovered a small partner protein called SacE that dramatically improved the enzyme's behavior, finally allowing them to capture its structure using cryo-electron microscopy. They visualized SacC, a bacterial enzyme that performs a 7-step chemical reaction to assemble a complex, five-ring molecular structure. This structure is shared by safracin B and trabectedin, a drug used to treat certain soft-tissue cancers. Using cryo-EM, the team reconstructed the enzyme's structure at near-atomic resolution. Imagine combining this knowledge with AI and protein engineering to develop new ways to manufacture complex molecules and discover future medicines. We're only getting started at this. brightsurf.com/news/LQ4Y7OG8/…

We might start seeing this in 2027. I think the first mass-market humanoid experience will be renting rather than buying. Most households won't spend thousands of dollars on a robot that might not reliably perform everyday chores. Soon, we might see companies charging a monthly fee to let people test robots for cleaning, laundry, dishwashing and other household tasks. This is how the household robotics revolution might begin for everyday consumers!

engadget.com/2289944-google…

4 AI agents just defeated Minecraft's final boss without human help. This is a terrifyingly powerful proof of concept for autonomous AI societies. Everyone is debating whether AI can replace a junior developer. Meanwhile, these agents spent 27 hours working together, writing 2,783 programs, dying 605 times, and learning from their failures until they finally defeated the Ender Dragon. Today, they're beating Minecraft. Tomorrow, they could be building entire software systems while we sleep. Now imagine these capabilities applied to scientific research. Thousands of AI agents exploring millions of hypotheses, testing new materials, designing drugs, developing technologies, and running experiments simultaneously. Combine this with AI-powered laboratories, advanced robotics, and increasingly capable models. The scale of progress could be extraordinary if we give these systems ambitious goals to achieve. We could eventually have AI systems that don't just assist human researchers but independently explore enormous spaces of possibilities and uncover breakthroughs. Imagine compressing years of trial and error into weeks or days for certain research problems. implications will be extraordinary.

We will eventually reach a point where we won't need money to survive or experiment with new ideas. But money will still remain one of the best tools for measuring economic value, resource allocation and individual contributions.

sciencedaily.com/releases/2026/…

Scientists recently won the 2026 Nobel Prize for controlling brain cells with light. Basically, we can now control specific neurons with light. In 2022, scientists used a similar approach to preserve mitochondrial function and extend lifespan in worms. Imagine combining this level of biological control with AI, gene therapy and rejuvenation research. This could potentially revolutionize anti-aging research and future longevity treatments. We're only getting started. I want to see the proof.