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Articles by Jack
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AI Meets Quantum: The AQ Era is Here
AI Meets Quantum: The AQ Era is Here
AI has transformed sector after sector in our economy. From medical imaging analysis and inventory management to…
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Distributed Science: A New Framework for DiscoveryOct 23, 2018
Distributed Science: A New Framework for Discovery
by Jack D. Hidary New tools of discovery are transforming the practice of science.
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A New Day in Cancer TreatmentJul 5, 2017
A New Day in Cancer Treatment
by Jack D. Hidary It is time for a complete revolution in how we treat cancer.
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The Bacteria in Your Gut and CancerJun 14, 2016
The Bacteria in Your Gut and Cancer
Your microbiome can mean the difference between life and death in cancer. Developments in microbiome sequencing…
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Google's First Moonshot Hackathon in IndiaOct 14, 2015
Google's First Moonshot Hackathon in India
Addressing the grand challenges facing Indian cities and providing education to those at the bottom of the pyramid. Our…
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Enough is Enough - We Can Prevent the Next Airline DisasterMar 29, 2015
Enough is Enough - We Can Prevent the Next Airline Disaster
Who do we know in the airline industry? execs, pilots? We in the tech industry are reaching out to them now to help…
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7 Comments
Activity
37K followers
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Jack Hidary shared thisThe global AI race will not be won with chatbots that predict the next word. In today’s Wall Street Journal, I argue that staying ahead of China requires a new class of AI models built on physics, chemistry, and quantitative reasoning, not just language and images. China’s next five-year plan doubles down on AI, materials science, quantum technology, energy storage, and defense. These sectors run on equations, not prompts. Language models are wonderful productivity tools, but they are not designed to compute optimal alloy compositions, advance semiconductor design, or model high-dimensional financial risk. Pharma, semiconductors, energy, and financial services represent more than $25 trillion in global GDP. These industries require quantitative AI trained on lab data and the equations of the physical and quantitative worlds. Read the full op-ed in the WSJ here: https://lnkd.in/e_ygVkf3
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Jack Hidary shared thisCryptography depends on proofs that are rarely properly verified by machines. As our systems grow more interconnected, that gap becomes a fundamental limitation. The team at SandboxAQ, working with academic partners, just advanced the science behind machine-checked cryptography. Their ASIACRYPT 2025 paper formalized CryptoBox three different ways in EasyCrypt and revealed something important. The real barrier to scalable verification is not the construction itself but the definition style. Small shifts in how we express a game or manage state can dramatically change the tractability of a formal proof. Understanding these structural costs is essential as we build cryptographic systems that must withstand AI-accelerated threats and operate across global infrastructure. This work helps move the field toward verification frameworks that remain rigorous, modular, and easier to scale. Paper: https://lnkd.in/ej9Jb-K2
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Jack Hidary shared thisAI is playing a critical role in accelerating energy transformation and energy is critical to the growth of AI. At ADIPEC 2025, we will join global energy leaders to explore how innovative technologies are contributing to the fast-track development of the sector. 🔗 Conference Brochure: https://lnkd.in/eXGPgRfg #ADIPEC2025 #EnergyAI #SandboxAQ #FutureOfEnergyADIPEC 2025 | Strategic Conference Brochure | 3 - 6 November 2025ADIPEC 2025 | Strategic Conference Brochure | 3 - 6 November 2025
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Jack Hidary shared this80% of all the goods that you buy need a catalyst to produce them. Last week we released AQCat25-EV2. This novel AI model brings quantum-level accuracy to catalysis research and makes it accessible at scale, accelerating discoveries that will define the next generation of chemistry.Jack Hidary shared thisCatalysts power more than 80% of industrial chemical processes. Yet discovering new ones has remained slow, expensive, and limited by lab throughput—until now. Meet AQCat25-EV2, SandboxAQ’s new AI model that screens millions of catalyst candidates across the periodic table, 20,000× faster than traditional quantum-mechanical methods.
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Jack Hidary shared thisProud of the SandboxAQ team’s contributions to OpenFold3, an important scientific milestone from the OpenFold Consortium and NVIDIA. 40 million synthetic structures plus 300K structures based on experiments. All open, under Apache 2.0. This is a major step toward advancing in silico biomolecular research leading to new therapeutics for cancer, Alzheimer's and other diseases.Jack Hidary shared thisThe OpenFold Consortium, with key contributions from SandboxAQ, has released OpenFold3 — the most extensively trained open-source co-folding model to date, marking a major step forward in democratizing in silico biomolecular structure prediction. Now freely available, including as an NVIDIA NIM, under an Apache 2.0 license, OpenFold3 includes: ➡️ 40M synthetic structures and 300K publicly available experimental structures ➡️ 40M CPU hours for data generation ➡️ 5M GPU hours beyond model training Learn more: https://lnkd.in/exmD7dVb
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Jack Hidary shared thisProud to see the team recognized as AI Battery Startup of the Year. Physics-based AI isn’t just theoretical—it’s accelerating real-world breakthroughs in energy storage, a critical factor in scaling our grid and power supply.Jack Hidary shared thisWe're honored that SandboxAQ was named AI Battery Startup of the Year at The Battery Show! Our thanks to the judges for recognizing Ang Xiao and his team, and to our partners who are advancing energy innovation alongside us. We proved that it's possible to train an AI model that is generalizable across manufacturers, cell types & degradation signatures, and can improve cell EoL prediction accuracy using only 4 weeks of UHPC data vs. years of long-term testing. With only 6 UHPC cycles, our Large Quantitative Models (LQMs) predicted 85% capacity retention to within 46 cycles. When scaled to more than 4,000 cells, just 25 UHPC cycles enabled predictions to within 108 cycles, demonstrating broad generalizability. Such advancements are made possible by SandboxAQ’s physics-based quantitative models.
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Jack Hidary shared thisCatalysts are the hidden engines of modern industry—enabling 80% of all manufactured goods including autos, medicines, gasoline and detergents. NVIDIA and SandboxAQ collaborated on AQCat25, a novel dataset for catalysts. Companies can now simulate, test, and optimize new catalysts across sectors such as agriculture, energy, construction, and consumer goods—cutting timelines from years to days. The speed with which researchers can develop new catalysts will advance commercial efforts to bring new products to market faster, making AQCat25 not only a tool for AI innovation but expanding markets as well. Proud of the team here at SandboxAQ. https://lnkd.in/e5mA7jpM
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Jack Hidary shared thisThe Stand Up To Cancer live broadcast is starting now. Cancer has touched my family, as it has so many others. SandboxAQ is contributing research to detect hard-to-diagnose cancers, guide treatment with predictive modeling, and monitor for recurrence. Watch live stream: https://lnkd.in/eiXkWHaE
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Jack Hidary shared thisWe’re proud to support Stand Up To Cancer tonight at 8pm ET/PT and 7pm CT for a televised fundraising special right here in Music City. It’s one night with one goal: Beat cancer. Tune in and learn more at StandUpToCancer.org/Show. #StandUpToCancer
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Jack Hidary liked thisJack Hidary liked thisNext week, OMSF is taking over Barcelona for a festival of computational molecular science. We're starting with the long-standing annual gathering for the alchemical free energy community -- the Free Energy Workshop (May 4–6). Tickets still available! The workshop is followed by the inaugural CoFold Summit (May 6). The Summit will be a focused, single-track day on the frontier of biomolecular co-folding, with speakers from Isomorphic Labs, Boltz, OpenFold, SandboxAQ, and more. This event is sold out, but you can join the waitlist. And closing out the week, the annual OMSF Symposium (May 7–8) brings together our entire open source community for two days of science, software, models and friends. Sold out, too. The most concentrated week of open molecular science anywhere this year. Barcelona, see you soon. Program + details: https://lnkd.in/gWWnEdd8
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Jack Hidary liked thisAQCat25 is published! 🎉 Check out the full paper via the link in the SandboxAQ post below 👇Jack Hidary liked thisWe’re excited to celebrate another huge milestone for the SandboxAQ materials team: Omar Allam and collaborators just published AQCat25 in the Nature Portfolio journal, npj Computational Materials. AQCat25 is a high-fidelity, spin-aware dataset and machine learning interatomic potentials (MLIPs) that push foundation models for heterogeneous catalysis into real-world materials discovery. AQCat25 enables treatment of magnetically complex, earth‑abundant catalysts at industrial scale. Trained on NVIDIA DGX compute , it is built as a high-fidelity complement to broad, pre-existing foundational datasets. AQCat25 invests compute where higher electronic fidelity and explicit spin treatment change the answer. This work will allow R&D teams to deploy AI models which capture the same magnetic physics and complex chemistries their plants depend on—not just idealized, precious-metal systems—so they can explore more materials at higher fidelity with far lower risk of model failure. Key advances from Omar and team’s work: 🔸 AQCat25 dataset: 13.5M high-fidelity DFT single-point calculations that explicitly treat spin polarization for critical earth-abundant metals (like Fe, Co, and Ni). It also introduces six entirely new elements (including alkaline and rare-earth species), allowing models to reason over realistic, industrial catalyst chemistries. 🔸 Spin- and fidelity-aware MLIPs: Models conditioned on spin and DFT fidelity (via FiLM). This approach effectively synergizes mixed-fidelity and mixed-physics data, improving OOD magnetic performance with increased non-magnetic data while successfully avoiding catastrophic forgetting. 🔸 Foundation for practical catalyst design: Jointly trained models that more reliably find global minimum adsorption energies across diverse surfaces. This lays the groundwork for scalable, foundation models that accelerate the discovery of next‑generation catalyst materials. We’re just getting started on what this unlocks for industrial catalysis and beyond. Read the article https://lnkd.in/eE2ye_mk and learn more about how SandboxAQ supports material innovation https://lnkd.in/d7Rw3xGm
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Jack Hidary liked thisJack Hidary liked thisQuantum is not being built in isolation. It is being built to plug into the broader compute and AI fabric the world already runs on. Two sessions at the GQIG Executive Summit on Quantum Computing Infrastructure in Silicon Valley close out the morning block with that integration question front and center. Dr. Stefan Leichenauer, VP of Engineering at SandboxAQ, presents "Quantum Data as Fuel for Large Quantitative Models." His argument reframes quantum's role entirely. Quantum processors and quantum sensors become high-value data engines, generating synthetic, first-principles data that trains and constrains AI discovery engines for catalysts, batteries, and pharmaceuticals. Quantum data and AI models form a virtuous cycle that extends scientific knowledge and enables new, reliable applications. Dr. Nicholas Harrigan, Product Marketing Manager for Quantum at NVIDIA, follows with "Accelerating the Quantum Processor with NVQLink." The analogy he uses is sharp: useful quantum computing will employ QPUs as a new kind of co-processor, integrated with existing supercomputers, much like GPUs in the early 2000s. His session covers the computer architecture issues that need to be resolved for QPUs to integrate successfully with supercomputing, and how NVIDIA's NVQLink architecture is built to overcome them. Full agenda: https://lnkd.in/eJJHqe8K #GQIG #QuantumComputing #QuantumInfrastructure #Semiconductors #SiliconValley Amy Leong, Salah Nasri, Kevin Dei, Jubed Miah, Mia Chen, Elsa Medin, Michelle Yan, Sephora Maio, Germantas Kneita, Christine Nolan, Christine Dunbar, Anastasia Marchenkova, Denise Ruffner
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Jack Hidary liked thisJack Hidary liked thisThe batteries of the XXIs century are Physics + AI. 🔋✨ Developing new batteries usually takes 10-15 years. We don't have that kind of time. Everything around us depends on batteries. ⏰ Forbes just featured SandboxAQ and how our platform, AQVolt26, is speeding up the discovery of solid-state batteries. 🪫 We are helping the U.S. catch up by working 90% faster. 🚀 To all my friends in the energy sector, check out the article here: https://lnkd.in/ezK6jCe2 #TechNews #SandboxAQ #CleanEnergy #AIThis Google Spinout Thinks AI Can Fix America’s EV Battery ProblemThis Google Spinout Thinks AI Can Fix America’s EV Battery Problem
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Jack Hidary liked thisJack Hidary liked thisFresh off invigorating conversations at #Unlock26 this week, I am looking forward to continuing the discussion on Monday at Stanford University‘s Drug Discovery Symposium 2026 representing SandboxAQ, and to join a community that’s pushing the boundaries of what’s possible in small‑molecule and biologics R&D. Given our AI-driven drug discovery focus, I am especially excited about Genentech's Aviv Regev's lab-in-the-loop talk. Also curious about how Brian Kobilka's talk about allosteric #GPRC modulator discovery ties into our focus on ML-based modeling of this challenging target class as recently demonstrated in our collaborations with MapLight Therapeutics, Inc. and Procter & Gamble. See you there! #SDDS26 #drugdiscovery #aiinbio #bayarea #stanford #lqm
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Jack Hidary liked thisJack Hidary liked thisWatching the The Wall Street Journal discussion with SandboxAQ sparked an important thought. If AI can unlock value in one of the world’s most complex domains, life sciences and drug discovery, then the opportunity across industrial assets may be even more immediate. Project management. Commissioning. Startup. Operations. Maintenance. These environments often have clearer workflows, repeatable decisions, decades of data, and measurable losses from delay, rework, downtime, and poor handover. The next industrial leap may not come only from new hardware. It may come from intelligence layered across the full plant lifecycle. From FEED to startup. From turnover to reliability. From reactive decisions to predictive execution. Many still underestimate how large this opportunity is. #AI #Commissioning #ProjectManagement #Operations #Maintenance #DigitalTransformation
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Jack Hidary liked thisJack Hidary liked thisEvery step counts in the fight against Parkinson’s! 🚶♂️👟 🚀 I’m incredibly proud to have represented SandboxAQ as an official volunteer at this year’s Parkinson’s Unity Walk. It was an inspiring day in Central Park, surrounded by a community dedicated to driving meaningful progress and improving the lives of those living with Parkinson's. Walking today wasn't just about the miles; it was about our shared commitment to the millions of people impacted by this disease. At SandboxAQ, we are deepening this commitment through our partnership with the The Michael J. Fox Foundation for Parkinson's Research for Parkinson's Research on the LITE program. By leveraging our Large Quantitative Models (LQMs) and AI simulation, we are working to translate academic discoveries into transformative drug candidates for neurodegenerative health. A huge thank you to my colleagues, the MJFF team, and everyone who supported our efforts! ❤️ #UnityWalk #GoTeamFox #ParkinsonsResearch #DrugDiscovery #AI #SandboxAQ #LITEProgram
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Jack Hidary liked thisJack Hidary liked thisCo-folding is one of the most exciting frontiers in AI for drug discovery. The early progress has been real and impressive enough that the broader wave of protein structure prediction was recognized with the 2024 Nobel Prize in Chemistry. But we should be honest about where we are: current models are not yet predictive enough for the hardest problems that matter in real drug discovery. We still need much better performance on diverse ligands, low-similarity binding sites, water networks, protein flexibility, interaction energetics, and the many other details that distinguish beautiful demos from better medicines. That is exactly why we created the #CoFold Summit. This is the first scientific conference dedicated to co-folding, and it is shaping up to be the premier technical forum for this emerging field. The agenda brings together many of the people and organizations pushing the state of the art: Isomorphic Labs, Boltz, OpenFold, SandboxAQ, University of Oxford, Genesis Molecular AI, Iambic, Nostrum Biodiscovery, Johnson & Johnson, Apheris, Proxima, SeedFold, IntelliFold, and RosettaFold from the Institute for Protein Design, University of Washington. The event sold out quickly, but there is a waiting list that can be accessed from the registration page: https://luma.com/yklxc0ib More broadly, I am encouraged by the number of companies and research organizations now developing co-folding technologies. It is meaningful validation of the technology and the promise. A strong cohort of venture-backed companies is important for speed, focus, and execution. But the field will progress fastest if that commercial momentum is matched by a vibrant open science community. At OpenFold, we are working to build the open, rigorous, extensible, and auditable infrastructure the field needs. Open models alone are not enough. We also need better benchmarks, better data, better methods, and greater scientific honesty about what these systems can and cannot yet do. At PsiThera, we see this as part of a larger shift toward Physical AI for drug discovery: moving beyond models that merely generate plausible ideas toward models built on richer three-dimensional, time-dependent molecular representations and embeddings that capture the underlying chemistry and physics in latent space. This is what we call Nanoscale Physical AI for Biology. This is the future of AI in drug discovery. The goal is not just better interpolation within narrow training sets, but more transferable, predictive models that can generalize across novel chemistry, learn mechanistic principles, and more efficiently steer generative algorithms toward molecules with a higher probability of becoming real medicines. Better AI models grounded in physics and chemistry will help us understand mechanism, molecular recognition, and ultimately to design better medicines. That is the mission. See you in Barcelona.
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Jack Hidary liked thisMany people in #DonaldTrump's administration were #JeffreyEpstein associates. Trump is about to add one more: Kevin Warsh. Kevin Warsh joins other #Epstein-linked members in #Trump's orbit as Trump's pick for Federal Reserve Chairman. Here are all the people who are also listed in the #EpsteinFiles Donald Trump (President) Melania Trump (First Lady) Howard Lutnick (Commerce Secretary) Robert F. Kennedy Jr. (Secretary of HHS) Mehmet Oz (CMS Administrator) Alex Acosta (Former Labor Secretary) Bill Barr (Former Attorney General) John Phelan (Former Secretary of the Navy) Kevin Warsh (Federal Reserve Chair Nominee) And watch Kevin Warsh avoid questions about his assets. During his Senate Banking Committee confirmation hearing on April 21, 2026, Federal Reserve chair nominee #KevinWarsh was questioned by Senator Elizabeth Warren regarding his investments and potential financial links to #JeffreyEpstein. Senator Warren pressed Trump's pick for the Federal Reserve Chair Kevin Warsh on whether his disclosed investment funds, which include over $100 million in undisclosed underlying assets, had connections to financing vehicles established by Jeffrey Epstein, as well as Chinese-controlled companies or Donald Trump. Warsh declined to answer the question directly, but stated he planned to divest his holdings if confirmed as Fed chair, noting he was working with the Office of Government Ethics. Warsh's name appeared in Department of Justice files related to Jeffrey Epstein released on January 30, 2026, which indicated he was in the same social circle and listed for a 2010 trip, though the records did not imply wrongdoing. Senator Warren specifically asked if Warsh’s undisclosed funds were invested in "financing vehicles established by Jeffrey Epstein," as well as companies affiliated with Donald Trump or those involved in money laundering. Warsh declined to answer the specific question about Epstein-linked investments directly. Instead, he stated that he plans to divest his entire financial portfolio if he is confirmed as Fed chair to resolve potential conflicts. Reports leading up to the hearing noted that Warsh's name appeared in Department of Justice files released earlier in 2026. These records listed him as a guest for a 2010 Christmas trip to St. Barth's and as an attendee at social dinners with Epstein's associates, though the files do not suggest criminal activity. Lawmakers raised concerns that confidentiality agreements have kept much of Warsh's $226 million fortune hidden from public view, leading to calls for more transparency before a confirmation vote.
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Nora Cohen Brown
Charm Industrial • 2K followers
🚨California Takes Action with Passage of 3 Bills to Scale CDR Innovation This weekend, California made unprecedented progress in creating compliance mechanisms to help grow Carbon Dioxide Removal (CDR) by providing pathways for all CDR approaches to gain market traction and grow responsibly in the state: ✅ CDR is included for the first time in the Cap & Invest program via AB1207, which creates a pathway for CDR to be permanently integrated as a compliance offset category ✅ The Greenhouse Gas Reduction Fund was reauthorized via SB804, and now includes a framework for CDR to be included in future allocations from the fund for climate tech innovation, including as part of an $85M climate tech innovation program ✅ The passage of SB643 creates a Carbon Dioxide Removal Purchase Program to purchase CDR credits from eligible suppliers With these actions, California has created the framework to responsibly scale CDR, creating both economic and environmental benefits for Californians. These benefits include addressing affordability by generating good paying jobs and lowering CDR technology costs, as well as deploying technologies that tackle critical challenges such as wildfire fuel load reduction (such as the pictured Charm pilot in the Inyo National Forest) and orphaned wells. In addition, this program is technology-inclusive - enabling the state to deploy a wide range of technologies that support meeting CA’s climate goals by tackling legacy and residual emissions. Over the past few years, Charm Industrial has been collaborating with legislators, the California Air Resources Board (CARB), and numerous NGO, industry, and academic partners to explore these concepts - what is the right mix of technologies for California? How can CDR help plug the gaps for residual and hard to abate emissions, and what are the benefits for Californians? We are incredibly proud of this progress, and this suite of new mechanisms provides support for R&D, supply, and demand, which together will support the scaling of the CDR industry - coupled with additional resources allocated to CARB for scaling SB905, the Carbon Capture Removal and Storage bill passed in 2022, which provides the framework to support this work. This is also yet another example of California leading the nation by fully integrating responsible CDR into its programs, creating a huge opportunity for the state to lead on scaling a wide range of technologies that will not only create environmental and economic benefits, but are also critical to helping the state stay on track for net zero and reaching California’s climate goals. Thank you to our partners in the legislature and agencies for your vision and commitment to scaling these solutions, and to all of our NGO, industry, and academic partners for all of the painstaking work to come up with the right set of solutions for California. We’re looking forward to working together to implement these important programs!
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Mehdi Maghsoodnia
1health.io • 7K followers
Exciting advancements in gene editing, spearheaded by UC Berkeley's Jennifer Doudna and her pioneering CRISPR research, are transforming the landscape. The CRISPR-based gene editing market is projected to reach approximately $4.5 billion in 2025, marking a remarkable 30% year-over-year increase. Forecasts indicate a substantial growth potential, with estimates soaring to $13-16 billion by 2034 at a consistent 25-30% compound annual growth rate. Globally, over 332 companies, with 217 based in the US, are driving innovation in 23 countries. Clinical trials, numbering around 250, with over 150 currently active, are focusing on diverse areas from blood disorders to rare diseases, showcasing impressive success rates ranging from 50-90% in experimental settings. Key developments in 2025, building upon Doudna's foundational work at Cal, include the introduction of personalized CRISPR infusions for treating rare childhood disorders, enhanced editing tools to minimize off-target effects, and RNA delivery techniques for repairing neurons in ALS cases. Biotechnology leads the adoption curve at approximately 40%, with academia and pharmaceutical sectors following suit. #CalGeneEditing #CRISPR #UCBerkeley #LifelongLearning
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Adnan H Shah .
Papi & Laado • 827 followers
Micro, Meso, and Macro: How Start-ups Are Shaped Start-ups do not operate in isolation. Their formation, growth, and survival are shaped by influences operating at three levels: micro, meso, and macro. Understanding how these layers interact is central to explaining why some ecosystems mature coherently while others remain active but fragile. The micro level sits closest to the venture. It includes founders, teams, internal governance, early customers, product discipline, and execution capability. These factors directly affect how decisions are made and how quickly learning occurs. Evidence across entrepreneurship research shows that micro-level strength matters, but it functions within constraints it does not control, such as regulation, market access, and capital structure. The macro level defines those constraints. Regulation, capital markets, labour mobility, infrastructure, education systems, and national development strategies shape what types of ventures can realistically form, scale, and exit. Publicly available ecosystem research indicates that consistent policy signals, regulatory clarity, and credible exit pathways are associated with more durable entrepreneurial activity, independent of individual founder talent. Between these two sits the meso layer, which acts as the system’s connective tissue. Accelerators, incubators, venture studios, universities, angel networks, corporate innovation units, and ecosystem builders translate macro intent into micro-level action. This layer influences selection, norms, and narratives. Its impact is indirect and therefore harder to measure, and public data on its effectiveness remains limited. Ecosystem reports and commentary suggest that misalignment most often appears at the meso level. When early-stage logic is applied indiscriminately across all phases of venture development, later-stage needs such as governance maturity, institutional readiness, and exit infrastructure can remain underdeveloped. Activity increases, but structural depth does not always follow. Takeaways Micro capability, meso translation, and macro structure are interdependent, not interchangeable. Most ecosystem distortion emerges when the meso layer exceeds or confuses its role. NSR is reflected when each layer acts within its remit and reinforces, rather than replaces, the others. https://lnkd.in/eGfBW_KN (Papi & Laado) SVC - Misk Foundation - Ministry of Economy and Planning - MEPsaudi -theGarage - Startup Studio National Technology Development Program - Public Investment Fund (PIF) #Venturecapital - KAUST Core Labs - National Development Fund (NDF)
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Nick Durham
Shadow Ventures • 5K followers
I’ve been working on the theory of why small, shippable factories are the perfect inversion to the centralized prefab factory model. It all collapsed into one line of math (credit to Gilles Retsin): Factory Efficiency = Usage × (Throughput × Product Value ) / ( CapEx + Deployment OpEx) The idea is that the closer you can drive Usage to 100 % while keeping the denominator tiny, the faster the flywheel spins. A shippable microfactory tackles this by primarily focusing on a high Usage factor. Because the microfactory can be packed up afterwards and reused, its CapEx gets amortized over multiple projects, effectively raising its overall Usage across the year. If one project alone doesn’t fully occupy the factory, it can simply roll over to another job to maintain high Usage. Its CapEx is often an order of magnitude lower than a centralized factory (< $1M vs. $10-50M min), so the breakeven throughput is more achievable on a small pipeline of work. The real breakthrough here is portability. There is near-zero stranded capital and almost no idle time. To flesh this theory out, I wrote 3000 words on the topic for Brad Hargreaves and Thesis Driven. The article breaks down: - why “fixed factories, shipped goods” is being inverted to shipped factories, fixed goods - what a sub‑$1 M robotic cell does to CapEx per home versus a £45 M off‑site plant - early production/cost data on a shippable microfactory from Mollie Claypool, Gilles Retsin, Sam Baker and the Automated Architecture (AUAR) team - the hybrid reality of robots tackling the heavy structural components and human crews assembling faster and cheaper - technical constraints to pull this model off and future considerations on the optimal business model (own vs. rent) Major shoutout to Gilles Retsin for helping me pull this together. https://lnkd.in/eRTnbZPa
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Maximilian Von Poelnitz
Ajinomoto Group Ventures • 8K followers
Episode 13 of the Easy VC Brief focused on one topic of deep tech - bio manufacturing. Talking about Mothership Materials and their work on sustainable feedstocks.🌿 It’s a bit shorter today but more focused. In a world conflicted and the 24 hour news cycle locked on the Iran War, I try to keep my mind focused on entrepreneurs who are trying to make the world better and there continues to be a big opportunity in bio manufacturing. #keepbuilding
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Luca Longobardi
Park Avenue Capital • 9K followers
Terra Innovatum and GSR III Acquisition Corp. File Form S-4 After Business Combination Announcement Advancing Public Listing. Transaction To Accelerate Terra Innovatum’s Pathway to Commercialization of Groundbreaking Micro-Modular Nuclear Technology by 2028. https://lnkd.in/eNpGF9bU
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Matt Rappaport
Future Frontier Capital • 8K followers
You can have groundbreaking science, elegant engineering, and even early customer interest. But without this one thing, you don't have an investable business. After two decades running IP strategy projects and now leading UC Berkeley's Deep Tech Innovation Lab while building the Berkeley Gateway Accelerator, I've watched countless brilliant technologies die in the valley between breakthrough and business. The problem isn't what most technical founders think it is. It's not about having better tech. It's not about getting more funding. It's not even about finding product-market fit. The fatal flaw shows up much earlier—and it's almost always the same mistake. In my latest piece, I answer questions from a Taiwanese entrepreneur about what really separates deep tech ventures that scale from those that stall. Including one provocative suggestion for Asian ecosystems that has nothing to do with technology. Read the full conversation, linked below. #DeepTech #Innovation #Startups #IntellectualProperty #VentureCapital
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Ciarán O'Leary
BlueYard Capital • 4K followers
100 founders, builders, researchers, investors and thinkers. One big question: how to solve some of the largest challenges building at the frontiers of AI. From physical compute scaling constraints to applying AI to unlock civilizational progress from material science to drug discovery. Camps, hikes and heated debates on human x AI co-existence: this was Climbing Hard AI Peaks. Thanks to everyone for coming out and making it so special. We learned a lot from all of you. Big shout-out to our founders working on some of the biggest AI unlocks, the many researchers and builders from Center for Digital Technology and Management (CDTM), ETH Zürich, Stanford University and special guests from Anthropic, OpenAI, Google DeepMind and more. David Byrd Michael Wax Jason D. Whitmire Chad Fowler Jonah Anders Kaplan Christine Fuchs Sam Harrison Mehdi Ghissassi Antoine Moyroud Wulfie Bain Eva Spannagl Nathan Gruber Judith Dada Juan Benet Zoe Weinberg Haya Hanna Sophia Kalanovska, PhD Clayton Mellina Ricardo Sequerra Amram Evan Phoenix Hendrik Dietz Katie Hewitt Molly Mackinlay Omer Shlomovits Zied Bahrouni
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Brom Rector, CFA
XEIA Venture Partners • 12K followers
Biosphere raised millions from Founders Fund and Lowercarbon Capital to Unleash Industrial Biomanufacturing at scale. Biosphere's cofounder Arye Lipman joined our latest podcast to discuss: - what is biomanufacturing - how Biosphere's UV bioreactors are 10x better than traditional bioreactors - what America with 10x cheaper biomanufacturing looks like - can we grow a steak without a cow? - is biomanufacturing "woke climate" or American Dynamism? - how Biosphere is working with the DOD - MAGA's view on biomanufacturing - Consciousness, dolphins and the CIA Check it out!
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Rob Desborough
Seraphim Space • 11K followers
We are delighted to announce Zeno Power's $50 million Series B 💰🌟 Seraphim Space Investment Trust (SSIT) was thrilled to participate in the round led by Hanaco Ventures, with participation from Balerion Space Ventures, Vanderbilt University, JAWS, and others. Zeno's nuclear batteries convert the decay of radioactive material into thermal and electrical power. Zeno have raised over $70 million to date, accelerating toward full-scale nuclear battery demonstrations in 2026, enabling deliveries to maritime and space customers in 2027.🔋 Read more here: https://lnkd.in/eqgqTvJY
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Nate Loewentheil
Commonweal Ventures • 16K followers
This week in #AmTech: Radiant raised over $300 million in new funding from Draper Associates, Boost VC, Founders Fund, ARK Investment Management LLC, Chevron Technology Ventures, DCVC, and others. Radiant develops portable, mass-produced nuclear microreactors that fit in shipping containers and can be deployed anywhere to provide reliable, zero-emissions baseload power for up to five years without refueling. By offering a transportable alternative to diesel generators, Radiant's reactors address America's need for energy resilience in disaster recovery and in remote locations where power infrastructure is unreliable. Founders: Doug Bernauer, Bob Urberger. EraDrive raised $5.3 million in seed funding from Haystack, Point Nine, Harpoon, Brave Capital, 2100 Ventures, and Entropy Industrial Capital. EraDrive builds self-driving modules that allow satellites to see and move independently without constant ground control. As orbital traffic becomes increasingly crowded and contested, EraDrive's technology is essential for protecting America's satellite infrastructure (which underpins GPS, communications, and national security systems). Founders: Sumant Sharma, Justin Kruger, Simone D'Amico. Axion raised $37 million in Series B funding from Salesforce Ventures, Bessemer Venture Partners, and Schneider Electric Ventures. Axion builds an AI-powered intelligence platform that helps manufacturers detect product quality problems before they become expensive recalls or widespread failures. By catching issues weeks or months earlier than traditional methods, Axion could give American manufacturers an edge as they compete against global rivals. Founder: Daniel First. #VC #VentureCapital #Startups #Investing #DeepTech #Energy #Satellites #Aerospace #Manufacturing
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Amish P.
Conduit Venture Labs • 6K followers
In hard-tech, the biggest moat isn’t a patent—it’s people! At Conduit, we quietly built one of the world’s most unique communities: a global network of over 200 engineers, operators, designers, supply chain veterans, and contract manufacturers—the Conduit Fellows. These are the men and women who have built, shipped, scaled the hardware and physical tech the world runs on. They’re the invisible force behind the devices in your hands, the sensors in your cars, and the machines on factory floors from Ohio to Shenzhen. They bring: 🛠 Decades of deep execution experience across product and manufacturing. 🌏 Access to global supply chains—from Tier 1 fabs in Taiwan to family-run suppliers in rural Europe. 🤝 Relationships forged in the real world, not just on pitch decks. This is Conduit’s edge (and our long term commitment). We don’t just aim to invest in physical technology. We build it. We de-risk it. We scale it. And we do it alongside the Fellows—those who’ve learned from the scars of failed pilots, lived through the pain of missed yield targets, and know what it takes to go from prototype to P&L. The future of physical AI, robotics, sensory systems, climate, and health-tech isn’t built in isolation. It’s built in community. That’s why we believe human capital is the most important infrastructure in hard-tech. If you’re building and investing the next generation of physical technology and want to be surrounded and supported by the best network in the world for execution—let’s talk. #HardTech #VentureCapital #ConduitVentureLabs #Hardware #Founders #EngineeringExcellence #ConduitFellows #SupplyChain #PhysicalAI #AIForTheRealWorld #PhysicalIntelligence #hardware (Meet some of our community > https://lnkd.in/ge6FK_cx)
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Roberto Capodieci
SimFly • 23K followers
US Energy Department Launches AI-Driven Biotech Platform On December 5, 2025, US Secretary of Energy Chris Wright unveiled the Anaerobic Microbial Phenotyping Platform (AMP2) at Pacific Northwest National Laboratory (PNNL). This first-of-its-kind AI-driven system automates the study of anaerobic microbes, which thrive without oxygen and hold potential for biofuel production and environmental solutions. By integrating artificial intelligence with robotic automation, AMP2 drastically reduces research timelines from years to mere days or weeks, enabling rapid experimentation and optimization. It addresses fundamental questions in life sciences while boosting biotech manufacturing capabilities. As a prototype for the larger Microbial Molecular Phenotyping Capability (M2PC), AMP2 aims to create the world's most extensive autonomous microbial research infrastructure. This initiative aligns with the Trump Administration’s Genesis Mission to harness AI for scientific innovation and national competitiveness. The platform's impact could extend to developing next-generation materials, sustainable energy sources, and advanced bioproducts, fostering economic growth through biotechnology. Researchers anticipate it will unlock new microbial applications in medicine and industry. What potential applications for this biotech platform excite you most? Share in the comments! #BiotechBreakthrough #AIDrivenScience #EnergyDepartment #EmergingTech #MicrobialInnovation
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Henry D. Wolfe
DaVega & Wolfe Industries… • 1K followers
Hexcel Adds Independent Director in Deal With Activist Investor "Hexcel added a new independent director to its board in a move that avoids a potential proxy fight for the aerospace materials company with activist investor Vision One Fund. "As part of an agreement between the two sides, Vision One will withdraw their nominees to the board that were to be voted on at the company's annual shareholder meeting. Vision One will also support Hexcel's board nominees, and agree to certain standstill restrictions and mutual non-disparagement provisions, according to a filing with the Securities and Exchange Commission on Wednesday. "The new director, former Kaman Chief Executive Officer Neal Keating, was appointed effective Tuesday." Keating's experience in aerospace may make him an ideal director choice. Yet from a bigger picture perspective, I wonder if this settlement is the right move for investors. More and more activist campaigns are settling rather than running the full process of a proxy fight with typically a greater number of directors nominated by the activist. Hopefully, activists are becoming like the public company boards they battle, i.e. more focused on reaching consensus than big results. #governancearbitrage #proxyfights #corporategovernance #activistinvesting #valuecreation https://lnkd.in/gazBUGFp
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James Bruegger
Seraphim Space • 4K followers
Have you listened to the latest Generation Space podcast episode with Zeno Power? The conversation looks at how Zeno Power is developing nuclear battery technology to deliver long-duration, reliable power for use in the most challenging environments, with insights from Founder Tyler Bernstein alongside Seraphim's Leah Martin and Lucas Bishop. Here’s the link: https://lnkd.in/exddPQ7f #SeraphimSpace #DualUse #GenerationSpace #ZenoPower #SpaceTech #EnergyInnovation #FrontierTech #DeepTech
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Kit Yu
33K followers
Management has been clear: 2026 may see slight margin compression as a full year of higher DevEx rates and infrastructure/safety investments catch up with bookings growth. But the intent is to prioritize long term genre expansion and platform durability, and then reestablish cost leverage beyond 2026 (notably in CY27), as the investments mature and the platform scales into a larger AI/infrastructure base. In Q3, Roblox already showed operating leverage in fixed costs while increasing DevEx; it also highlighted that free cash flow growth should meaningfully exceed bookings growth in 2026-a crucial indicator for longer term valuation support.
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Anjli Jain
ElevenX Capital • 35K followers
The Resurgence of Nuclear Startups: Potential vs. Challenges Small modular reactor (SMR) startups are gaining traction, promising to revolutionize energy production through mass manufacturing and cost reduction. However, the journey ahead is fraught with regulatory, technological, and market challenges that these innovators must navigate effectively. At ElevenX Capital, we recognize that while the potential is significant, a comprehensive strategy addressing these complexities is essential for success. Are investors ready to support this evolving frontier? #investing #innovation #venturecapital #entrepreneurship
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Abraham Walker
xCelero labs • 2K followers
The next frontier for AI isn’t just text or images—it’s biology. Maggie Basta's latest piece explores the rise of biological foundation models and the real opportunities (and illusions) in AI-powered drug discovery We’ve seen the hype cycles before—genomics, Schrödinger, “platform plays”—but this time, with transformer-scale models and a maturing buyer base, the equation may finally be shifting. In bio, value still accrues to assets—not software. But AI may be the first force powerful enough to change that. this read is essential:
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Erik Kobayashi-Solomon
Climate Tech Venture Review • 4K followers
From The CTVR archive: EnerVenue Is The Newest ClimateTech Unicorn—Justifiably So EnerVenue is on the verge of some big advances to its innovative metal-hydrogen battery technology that could render grid-scale lithium-ion battery installations obsolete. Learn More: https://lnkd.in/giCKvk7v #CTVR #EnerVenue
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