#Breakthrough

And we’re off! Today marks the official launch of the Journal of Breakthroughs in Medicine and Science in Madrid at ESMO. Incredible editorial board and an exciting day ahead! @latimesstudios_ @latimes

Ablation study on disclosing breakthroughs

Anthropic employees overwhelmingly believe AI will make Nobel Prize-level breakthroughs by 2030. Wall Street is far less convinced, setting up a crucial test for Dario Amodei as the company prepares to go public next month. More details:

The ultimate guide to interpretability is here 🔥 Are we actually on the verge of reverse engineering LLMs or is the excitement outpacing what interpretability methods can actually deliver? We put together an illustrated walkthrough of the field, from early vision research to the latest debates about understanding LLMs. The recent viral essay Neural Networks Are Already Clean has ignited long essays and online debates. In this guide, we build the foundation from the ground up starting with computer vision: - Feature visualization - SHAP and integrated gradients - Circuit tracing Then we move to language models where we go over: - Attention heads, the residual stream, induction heads - Activation steering: amplifying a Golden Gate Bridge feature to mitigating evaluation awareness - Ablation, activation patching, and probe experiments - Polysemanticity, superposition, and SAEs We also discuss the shortcomings and open questions of the field that can be easy to miss if you’re only following the latest interpretability breakthroughs from Anthropic blogs. Read the full guide at

Excited to see the @JustinSunPrize collaborate with MathDB and @CalTech Professor @tonyyueyu. The #JustinSunPrize was established to become the “Nobel Prize of the AI Era” and I am looking forward to the breakthroughs ahead.

The Wait is Over. #BreakThrough ⚪️🔴

The Stage is Set....Literally. #BreakThrough ⚪️🔴

Today we announced a strategic collaboration with @bmsnews to support their oncology drug portfolio. We also announced a strategic collaboration with Bristol Myers Squibb and @pathos to advance drug discovery in Alzheimer’s disease. Collectively, this makes BMS one of our largest data and modeling customers. Through this collaboration, BMS researchers will be able to train advanced AI models using de-identified data to surface breakthroughs and increase the probability of success when developing therapies for both cancer patients and those suffering from Alzheimer’s disease. Read on: &

I’m starting a new early-stage AI fund, doing what I love: partnering with founders from company formation on bold bets, long before consensus. The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future. I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf. Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent. Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade. Life has taught me not to take time for granted. This is how I want to spend mine. Why now We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten. But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible. This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition. More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, it means helping founders take the biggest swings, giving the rare, long-term patience to see those bets through uncertainty, ambiguity, and turbulence, and serving as a level head when the stakes are highest. I learned this kind of partnership at Sequoia. It’s the foundation of the firm I’m building. Believing before consensus My fascination with AI’s potential took root at Stanford in the early-to-mid 2010s, studying computer science and working in Andrew Ng’s lab. The friendships I formed connected me to a community whose people and ideas would help shape modern AI and build some of our generation’s defining companies. What stayed with me was the gap between what those people saw was possible and what the wider world could imagine. I’m drawn to founders pursuing ambitions that sound impossible today. I start with a simple question: “What if everything goes right?” Then we work backward together to make it happen. In 2023, Deepak and Abhinav set out to build a general-purpose robot brain at @SkildAI, before physical AI was a consensus bet. Their sim-to-real breakthroughs gave me conviction where earlier robotics approaches had fallen short. But the data flywheel required deployment at scale. We made commercialization as urgent as research and brought in strategic partners like NVIDIA and SoftBank to support the ambition. Three years in, Skild is advancing the frontier of physical AI with nine figures in annualized revenue. In 2024, Ioannis and Misha founded @reflection_ai with an insight into scaling reinforcement learning. As that grew into the ambition to build a Western frontier lab for open models, the hard question was how a startup competes with labs spending tens of billions. An introduction to NVIDIA and many compute calls and recruiting events later, the team has built Beam, now one of the leading US open models. In 2025, Anna and Azalia, the co-creators of AlphaChip, founded @RicursiveAI to design models and hardware together. From day one, we made early customers and ecosystem partners a priority. Today, they are showing order-of-magnitude improvements on real workloads, working with some of the industry’s most consequential players, and reaching a defining inflection point. The ambition keeps growing as these companies scale. @linear has always had a kind of magic to it. Now it’s the system a new generation of AI companies builds on, for teams and agents alike. @tavus saw early that we’d one day talk to AI the way we talk to each other. Today, it’s building the human computing interface for a world of AI colleagues. @Mach_Industries began as hydrogen experiments in an MIT dorm room. It has since become one of the most exciting next-generation defense companies. Making the ambition possible Being a first believer is only the beginning. Compute falls through. A deep-pocketed incumbent makes your mission its top priority. A breakthrough changes the opportunity and the capital required overnight. These are stomach-churning moments, and early belief carries a responsibility to help make the bet work. This is the partnership I love: turning the full ambition into concrete steps. Raising capital, securing compute and strategic partners, recruiting exceptional people, and winning the first customers together. Thinking several moves ahead while solving what’s in front of us. And as breakthroughs open new possibilities, helping founders dream even bigger. Thank you To the founders I’ve worked with: thank you for trusting me and Sequoia to be your first partner and first believer. It’s been the joy of a lifetime, and I can’t wait to keep building together. Thank you to Alfred and Pat for your leadership of Sequoia and your support of my next chapter. To Roelof, for bringing me into Sequoia and believing in me from the beginning. Alfred and Roelof, you have been mentors in investing and in life. So much of what I know, and the investor I’ve become, comes from your guidance and generosity over the years. To Bill, for the close partnership and wealth of knowledge, always wrapped in humility. To Shaun, for showing me how to think deeply and imaginatively. To Michael Moritz, for inspiring 22-year-old me to dream big. To Doug, for teaching me to keep things simple. To Bogie and Jess, for bringing joy to the everyday and perspective on what matters. And to all my Sequoia teammates, for the friendship, camaraderie, and lessons I’ll carry with me. To my family, especially my husband and my brother, who have each started companies of their own: thank you for giving me the courage to take this leap. Let’s get to work!

Expert 'shepherds' will decide how best to share the latest breakthroughs in computer science and physics.

i've gone completely numb from the deluge of fucking incredible breakthroughs in the last few months

We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.

HOLY SHIT. openai just announced a series of enormous scientific breakthroughs from its internal ai models > proved the local smoothing conjecture in all dimensions, resolving kakeya and stein’s restriction conjectures > disproved the exponential time hypothesis, a foundational assumption behind hundreds of computer science papers > produced existence proofs for QCD and a unified completion of the standard model > proved the existence part of yang–mills theory, connected to a $1 million millennium prize problem several of these results have already been formalized in lean, and some of the biggest names in mathematics and theoretical physics are now involved in examining them. this is getting completely insane.

Nearly 8 million Jews lost their lives during the Holocaust. Never forget. Never stop fighting antisemitism.

@BarryGold87 i swear it was 7 million LAST NIGHT, how can it be 8 now?

@Wild777355566 Breakthroughs due to advanced research

In today's technology webinar, Scott DeBoer, Micron President and Chief Technology and Products Officer, shared our most detailed look yet at the innovations shaping the next era of AI infrastructure. From advancing what AI requires to driving breakthroughs across memory and storage, our roadmap reflects how we're defining what's next. ⚫ Upcoming DRAM nodes, disclosed publicly for the first time ⚫ Our next-generation HBM roadmap, including two new HBM architectures for hyperscale data centers and edge AI ⚫ Our newest NAND technology node and a new category of AI-optimized NAND products ⚫ How closer customer co-development and a stronger R&D foundation will sustain our technology leadership well into the next decade Watch the replay to see where AI infrastructure is headed:

IT'S REAL. @CollegeGameDay will be LIVE inside Memorial Stadium, airing from 6-8 p.m., on August 31st! #BreakThrough ⚪️🔴

"In hindsight, it was quite aggressive, / #hetoo." That’s MIT based biologist Dr. Kristin Knouse being asked about text messages she exchanged with Dr. David Sabatini, a world renowned former MIT biomedical scientist. Sabatini was once considered a potential Nobel Prize candidate for his breakthroughs in understanding cancer and aging. The deposition is part of the evidence I reviewed in a defamation and work interference lawsuit Sabatini brought against Knouse. Sabatini watched his career, his lab, and his reputation collapse under the weight of campus protests and social media attacks after Knouse accused him of coercing her into a sexual relationship that lasted more than a year, according to court documents. 🚩Sabatini gave me his first television interview since a Boston jury delivered a stunning $6 million defamation/interference verdict in his favor.🚩 The interview airs on #Boston25 News during our 6pm newscast. I will post the full report after it airs. #25Investigates

"Hacker" is not synonymous with criminal. A hacker is someone who finds a new and different way to do something. #Breakthrough

TachyonSort is the fast efficient unstable sort. #breakthrough #computerscience #innovation

AI is driving breakthroughs faster than companies can absorb them. Machines are being given more autonomy. The cyber defense window has compressed. These are some of the takeaways from @McKinsey's Tech Trends Outlook. Take a deeper look at the technologies reshaping business:

The Justin Sun Prize is launching a new pilot program with MathDB, the mathematical research platform developed by @Caltech Professor Tony Yue Yu (@tonyyueyu) and his team. The collaboration introduces a formal submission and review process for AI assisted mathematical research, covering 50 problems across four award levels with problem level prize pools of up to $1M. More details from @Cointelegraph below 👇