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Last week we hosted Deep Tech Dinner with founders and researchers tackling some of the hardest problems in their fields. Peter Thiel Fellows, Stanford, CMU, Harvard, MIT, UPenn, Princeton researchers and founders all came together.
After coming back from a one-month sabbatical visiting frontier labs, I wanted to bring ambitious builders working on the frontier into one room. Everyone who came was genuinely exceptional and mission-driven. We'd talk about "stochastic dynamics of interacting multi-particle systems through entangled Schrödinger..." or "peptide-conjugated NP systems for CNS-targeted delivery using receptor-mediated..." and it didn't feel weird. Rather than superficially asking "what are you working on?", every convo sparked a curiosity we couldn't stop nerding out about.
thank you my friends and new friends for coming to the dinner! And investors for making this dinner happen. ...
"In science fiction, we're always searching for new frontiers. We're drawn to the unknown."
- Ridley Scott
I would add that it's exactly the same for generative AI, thanks to Grok Imagine
AI has transformed research, the kind of technological breakthrough happening everyday, is unbelievable. I predicted that unknown armatures will rule the world with discoveries that professional top professors will be in awe, well, the entire plot below, AI can build this in mins
Been scaling up our creative using a mix of:
Deep research (human)
Deep research (AI - Claude/Perplexity)
Phased creative testing (native -> mini clips -> AI videos/UGC)...
2026 already holds some surprises. And it doesn't look like that will change anytime soon.
Anthropic's automated alignment researchers are already outperforming human scientists and "discovering ideas that humans would not have considered, thus broadening our exploration space...
This 1965 comic predicted that by 2016, human intelligence could be increased through drugs.
It also predicted that human brains would be linked directly to computers by that time.
Tt suggests a future where technology and biology are integrated to enhance human capabilities.
This is becoming a pattern in AI that makes talking about capabilities challenging.
First, there are overstated claims (like the flubbed Erdos problems last year), then minor wins (AI helps with discovery) then breakthroughs. The first stage feels like (& often is) hype, but…
9 if:
- you are a researcher who can focus on science + technology change and connect ideas across private and public markets
- want to be an investor in deep tech areas (non-bio/crypto)
...
Sam Altman: "With the next class of models, you start to see people say, this helped me make the most important discovery of my decade or maybe my career.
Maybe not win a Nobel Prize on its own, but like a significant career-defining discovery. "
AWS introduced Amazon Bio Discovery, a new application that helps scientists design and test antibody drug candidates using AI. Awesome to see this work to bring new treatments to patients sooner. bit.ly/4dLUei7
Gartner just told CMOs the experimentation era is over.
Budgets are tighter. AI is reshaping discovery.
Yet most teams are still running marketing like it's 2023....
Calling innovators and startups in life sciences & related disciplines!
Join us to turn your ideas into reality with access to advanced genomics & proteomics core, Experimental Animal Facility, high-end instrumentation, expert mentorship & a strong startup community. (1/2)
The spread of “AI slop” generates new opportunities. There is alpha in new content discovery mechanisms, whether through personal branding (e.g., being an expert at X) or algorithms (finding clusters of relevant information with AI).
Five geeks so famous that they can be identified by their first names exercise almost godlike command over the AI models that will shape the future.
Should they be entrusted with the world’s most potent new technology? econ.st/4sz64zF
🙏 As a person who has worked in life sciences on genomics and a extreme hater 😡 of cancer, hats off to OpenAI today.
OpenAI launched GPT-Rosalind as its first frontier reasoning model purpose-built for life sciences.
🧬 Biology, drug discovery & translational medicine ...
You know those deep tech companies that trade on the expectation that in 30 years they will succeed in building revolutionary technology? My thesis is AI is currently collapsing that timeline, and you need to reprice deep tech stock based on the collapsed time discounted revenue...
Academic excellence starts with original thought! At the ongoing PhD & MA Research Seminar, the Director emphasized a vital message: cultivate a deep culture of reading and prioritize authentic intellectual work over AI-generated content. Let’s get back to the basics.
All cancers will be curable by 2030s
Immunotherapy is changing the game. Treatments that activate your immune system (like checkpoint inhibitors and CAR-T) are already producing long term remissions in cancers that used to be near certain death sentences.
Early detection is getting radically better. Liquid biopsies (blood tests that detect cancer early) could catch tumors before they even form symptoms, which massively increases cure rates....
This Sam Altman-Backed $1.8 Billion Startup Bets AI Can Get Drugs Through Clinical Trials Faster forbes.com/sites/amyfeldm… (📸: Guerin Blask for Forbes)
Sam's real skill is keeping an $852 billion company culturally small enough that two people can still build a new product category in their spare cycles. Capital and compute are table stakes at this scale. This is the actual moat.
Peebles describes Sora starting as "a tiny two-man effort." That's the land-shark-swimming-past-cacti moment. No executive committee approved it. No quarterly OKR listed it. Two researchers saw something in the scaling curves and Sam let them chase it.
Almost no other frontier lab gets this right....
Blows my brains that before tech geniuses simulated discoveries in their minds. Today we do the same thing with AI agents and instead of one thought experiment we can run thousands! 🤯
I am visiting some of the most innovative businesses around the world in May.
I plan to share my research on the future of autonomous companies, powered by AI-first strategies and digital labor.
The future is more about relational transformation, not just technology.
Playing around more with Perplexity and computer is the best at depth when doing deep research vs. GPT and Claude. Model council is a cool feature, too. Starting to get behind the hype some but agentic coding is still Claude Code + Codex.
Research is good for ideas.
Ideas are good for prototypes.
Prototypes are good for shipping.
Shipping is good for breaking things.
Breaking things is good for insight....
The promise of technology is one of wonder, abundance, and enchantment. We seem to have largely forgotten that if we so choose - the entire world can be one big World's Fair.
?? ARCHAEOLOGICAL BREAKTHROUGH: Five Da Vinci Inventions That Could Have Revolutionized Technology
?? Trending with 100K+ readers! Prepare to be amazed! ??
ancient-origins.net/art...
eli5: what does ai actually do in drug discovery and genomics? saw nebius running an award for startups in this space. curious about the fundamentals, not the marketing.
WSJ: 5 Amazing Tech Innovations to Expect in the Next 25 Years
Such fun: Space mining; devices controlled by the mind; household humanoid robots; personalized weather control; abundant energy from solar fusion.
wsj.com/tech/ew-tech-e…
Most lawyers think AI in discovery means robots replacing humans. Wrong. It means finding the smoking gun document on page 47,293 that your human brain would've glazed over. Legal Lens keeps you in control while making you unstoppable. legal-lens.com
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