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A potentially high-efficiency alternative to making large genome edits: making large RNA edits via splicing! Very cool proof-of-concept from Jacob Borrajo Kamyab Javanmardi, Ph.D. ⚛️ Basem Al-Shayeb, Ph.D. 🧬 & Blainey Lab in bioRxiv

Julia Bauman

10,421 subscribers

15,348 просмотров • 3 лет назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 3

Фото профиля Julia Bauman

Julia Bauman3 лет назад

Find the preprint here:

Фото профиля Ahmed Mahfouz

Ahmed Mahfouz3 лет назад

@jacobborrajo @Kamyab_J @themicrobeguy @BlaineyLab @biorxivpreprint This looks intersting @oligogirl @PSpitali

Фото профиля Danny Diaz

Danny Diaz3 лет назад

@jacobborrajo @Kamyab_J @themicrobeguy @BlaineyLab @biorxivpreprint @DrJimmyDale check out Kamyab latest work. #grinding

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🚀 Reshaping drug discovery – and the future of medicine – with AI. Recursion CFO Ben Taylor joined the Opto Sessions podcast from CMC Aureon to share how Recursion uses AI, lab automation, biological data, and machine learning to improve the way new medicines are discovered and developed. 💠 They discuss: ▪️How pairing AI with lab automation across biology, chemistry, and clinical technology allows us to move beyond the ~10–12% of the genome currently addressed by approved or in-trial medicines and explore the vast realm of untapped biology. ▪️How Recursion is advancing REC-4881 for patients with familial adenomatous polyposis (FAP) — a progressive condition with no approved medical therapies — after achieving Phase 2 proof-of-concept and demonstrating meaningful reductions in polyp burden. ▪️How Recursion is compressing timelines and improving efficiency with high-quality, ML-ready data to design better molecules with ~90% fewer experimental chemistries and to run smarter, faster clinical trials. 👉 Check out the full conversation:

🚀 Reshaping drug discovery – and the future of medicine – with AI. Recursion CFO Ben Taylor joined the Opto Sessions podcast from CMC Aureon to share how Recursion uses AI, lab automation, biological data, and machine learning to improve the way new medicines are discovered and developed. 💠 They discuss: ▪️How pairing AI with lab automation across biology, chemistry, and clinical technology allows us to move beyond the ~10–12% of the genome currently addressed by approved or in-trial medicines and explore the vast realm of untapped biology. ▪️How Recursion is advancing REC-4881 for patients with familial adenomatous polyposis (FAP) — a progressive condition with no approved medical therapies — after achieving Phase 2 proof-of-concept and demonstrating meaningful reductions in polyp burden. ▪️How Recursion is compressing timelines and improving efficiency with high-quality, ML-ready data to design better molecules with ~90% fewer experimental chemistries and to run smarter, faster clinical trials. 👉 Check out the full conversation:

Recursion

98,839 просмотров • 1 месяц назад

BREAKING: Donald Trump announces that Elon Musk and Vivek Ramaswamy will lead the Department of Government Efficiency (DOGE) together. "Together, these two wonderful Americans will pave the way for my Administration..." "To dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies - Essential to the "Save America" Movement." "It will become, potentially, "The Manhattan Project" of our time. Republican politicians have dreamed about the objectives of "DOGE" for a very long time. To drive this kind of drastic change, the Department of Government Efficiency will provide advice and guidance from outside of Government, and will partner with the White House and Office of Management & Budget to drive large-scale structural reform, and create an entrepreneurial approach to Government never seen before." "I look forward to Elon and Vivek making changes to the Federal Bureaucracy with an eye on efficiency and, at the same time, making life better for all Americans." "Importantly, we will drive out the massive waste and fraud which exists throughout our annual $6.5 Trillion Dollars of Government Spending." "They will work together to liberate our Economy, and make the U.S. Government accountable to "WE THE PEOPLE." Their work will conclude no later than July 4, 2026 - A smaller Government, with more efficiency and less bureaucracy, will be the perfect gift to America on the 250th Anniversary of The Declaration of Independence. I am confident they will succeed!"

BREAKING: Donald Trump announces that Elon Musk and Vivek Ramaswamy will lead the Department of Government Efficiency (DOGE) together. "Together, these two wonderful Americans will pave the way for my Administration..." "To dismantle Government Bureaucracy, slash excess regulations, cut wasteful expenditures, and restructure Federal Agencies - Essential to the "Save America" Movement." "It will become, potentially, "The Manhattan Project" of our time. Republican politicians have dreamed about the objectives of "DOGE" for a very long time. To drive this kind of drastic change, the Department of Government Efficiency will provide advice and guidance from outside of Government, and will partner with the White House and Office of Management & Budget to drive large-scale structural reform, and create an entrepreneurial approach to Government never seen before." "I look forward to Elon and Vivek making changes to the Federal Bureaucracy with an eye on efficiency and, at the same time, making life better for all Americans." "Importantly, we will drive out the massive waste and fraud which exists throughout our annual $6.5 Trillion Dollars of Government Spending." "They will work together to liberate our Economy, and make the U.S. Government accountable to "WE THE PEOPLE." Their work will conclude no later than July 4, 2026 - A smaller Government, with more efficiency and less bureaucracy, will be the perfect gift to America on the 250th Anniversary of The Declaration of Independence. I am confident they will succeed!"

Collin Rugg

3,270,099 просмотров • 1 год назад

A new mechanism for “RNA memory”! 😱 Thrilled to share another crazy paper from the lab (can’t believe we posted 2 in 2 days!), summarizing >10 years of research: Work on transgenerational inheritance of small RNAs in the powerful model organism C. elegans changed how we think about what’s possible in inheritance and evolution, because it allows the most heretical thing: inheritance of parental responses to the environment! However, it’s still unclear whether RNAs are inherited across generations in other animals, largely because the RNA-dependent RNA polymerases that amplify heritable small RNAs and prevent their dilution in C. elegans are not conserved in mammals. In this new work, an amazing collaboration with the Rink and Wurtzel labs, we show that planarians establish long-lasting and heritable small RNA–based gene regulatory states despite lacking canonical RNA-dependent RNA polymerases and nuclear RNAi machinery (that are required in C. elegans). You might say “they are both worms…” BUT planarians are evolutionarily very distant from C. elegans (flatworms vs. roundworms, diverged more than 500 million years ago), making this particularly surprising. These are totally different animals. We find that ingestion of double-stranded RNA induces sequence-specific silencing that persists for months and survives repeated cycles of whole-body regeneration. Even more strikingly, RNAi can be transferred between animals, echoing James V. McConnell’s controversial “RNA memory” experiments from the 1970s (his lab was targeted by the Unabomber terrorist Ted Kaczynski, who sent McConnell a bomb. This and other controversies ended this line of experiments…) Mechanistically, we find that the response transitions from a transient systemic dsRNA-triggered phase to a stable, cell-autonomous post-transcriptional “memory phase” maintained by antisense small RNAs. Using a new luminescence reporter (transgenesis is currently impossible in planarians), we show that silencing spreads along the targeted gene and identify a weird type of planarian small RNAs with untemplated polyA tails. RNAi inheritance without canonical RdRPs establishes planarians as a powerful system for studying RNA-based regulatory inheritance beyond C. elegans and raises the possibility that RNA-mediated inheritance may be more broadly conserved in animals, potentially even in mammals. Here’s a video of a planarian that is treated by RNAi against β-catenin and develops multiple heads instead of just one. This is one of the phenotypes that is inherited. Another phenotype is “loss of eyes” (which we show is not only inherited across multiple regeneration cycles, but can also be transmitted between animals in transplantation experiments). Amazing work led by first authors Prakash Cherian and Idit Aviram (co-supervised by Omri and me). Please read the preprint, the link is in the next tweet, and share!

A new mechanism for “RNA memory”! 😱 Thrilled to share another crazy paper from the lab (can’t believe we posted 2 in 2 days!), summarizing >10 years of research: Work on transgenerational inheritance of small RNAs in the powerful model organism C. elegans changed how we think about what’s possible in inheritance and evolution, because it allows the most heretical thing: inheritance of parental responses to the environment! However, it’s still unclear whether RNAs are inherited across generations in other animals, largely because the RNA-dependent RNA polymerases that amplify heritable small RNAs and prevent their dilution in C. elegans are not conserved in mammals. In this new work, an amazing collaboration with the Rink and Wurtzel labs, we show that planarians establish long-lasting and heritable small RNA–based gene regulatory states despite lacking canonical RNA-dependent RNA polymerases and nuclear RNAi machinery (that are required in C. elegans). You might say “they are both worms…” BUT planarians are evolutionarily very distant from C. elegans (flatworms vs. roundworms, diverged more than 500 million years ago), making this particularly surprising. These are totally different animals. We find that ingestion of double-stranded RNA induces sequence-specific silencing that persists for months and survives repeated cycles of whole-body regeneration. Even more strikingly, RNAi can be transferred between animals, echoing James V. McConnell’s controversial “RNA memory” experiments from the 1970s (his lab was targeted by the Unabomber terrorist Ted Kaczynski, who sent McConnell a bomb. This and other controversies ended this line of experiments…) Mechanistically, we find that the response transitions from a transient systemic dsRNA-triggered phase to a stable, cell-autonomous post-transcriptional “memory phase” maintained by antisense small RNAs. Using a new luminescence reporter (transgenesis is currently impossible in planarians), we show that silencing spreads along the targeted gene and identify a weird type of planarian small RNAs with untemplated polyA tails. RNAi inheritance without canonical RdRPs establishes planarians as a powerful system for studying RNA-based regulatory inheritance beyond C. elegans and raises the possibility that RNA-mediated inheritance may be more broadly conserved in animals, potentially even in mammals. Here’s a video of a planarian that is treated by RNAi against β-catenin and develops multiple heads instead of just one. This is one of the phenotypes that is inherited. Another phenotype is “loss of eyes” (which we show is not only inherited across multiple regeneration cycles, but can also be transmitted between animals in transplantation experiments). Amazing work led by first authors Prakash Cherian and Idit Aviram (co-supervised by Omri and me). Please read the preprint, the link is in the next tweet, and share!

Oded Rechavi

194,689 просмотров • 5 месяцев назад

RUSSIA is BROKE ! UKAINE Is WINNING !! RUSSIAN ARMY is running for the Hills That's what you've Been told for well over a decade now..... But the opposite is true ... RUSSIA is NOW the WORLD'S ENERGY LEADER & making extra billions even with 30,000 sanctions.... ‼️🇷🇺⛽ President launches the start-up of a new LNG production plant ▪️In Kazan, V. Putin and the head of Tatarstan, R. Minnikhanov, via video link, opened an assembly and testing complex for high-tech compressor equipment, which is necessary for projects in the field of liquefied natural gas. ▪️Thanks to the new complex, Russia will fully localize the production of compressors for large-scale LNG production, from development to testing on real raw materials, simulating operating conditions.

RUSSIA is BROKE ! UKAINE Is WINNING !! RUSSIAN ARMY is running for the Hills That's what you've Been told for well over a decade now..... But the opposite is true ... RUSSIA is NOW the WORLD'S ENERGY LEADER & making extra billions even with 30,000 sanctions.... ‼️🇷🇺⛽ President launches the start-up of a new LNG production plant ▪️In Kazan, V. Putin and the head of Tatarstan, R. Minnikhanov, via video link, opened an assembly and testing complex for high-tech compressor equipment, which is necessary for projects in the field of liquefied natural gas. ▪️Thanks to the new complex, Russia will fully localize the production of compressors for large-scale LNG production, from development to testing on real raw materials, simulating operating conditions.

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

35,265 просмотров • 2 месяцев назад

Back in May the Columbia-Ethereum Research Center Center hosted a Summer School on Blockchain Consensus. So many awesome lectures, videos of which I'll be posting throughout the week. From my opening remarks: "So I think this is a really exciting time for consensus and blockchain consensus specifically. Unusually, I think just in the last couple of years, there's been some really interesting theoretical developments, some new larger scale and better engineered implementation deployments within blockchain protocols we already have, and I think a really healthy interaction between those two. Theory that's been developed has in large part been motivated by what better consensus protocols in practice would be. A lot of people doing the tech transfer and actually building these things out knew the theory extremely well. So having spent a career in theoretical computer science, it's kind of a wonderful moment in time. Both theory and practice doing innovative work allows us to have such a healthy conversation between the two. Honestly, this workshop in large part is meant to just capture that moment in time, too. It's very unique. The list of speakers, I think it's amazing. People will know many of their names from their research papers, but also many of the speakers have been deep in the trenches, really making this stuff work at large scale, very high impact applications in practice. So we'll be hearing all their perspectives. In addition to some academics, we've got representatives from Ethereum Foundation, Anza, Aptos, Mysten Labs, a lot of the people who are building the biggest, most widely used Layer 1s."

Back in May the Columbia-Ethereum Research Center Center hosted a Summer School on Blockchain Consensus. So many awesome lectures, videos of which I'll be posting throughout the week. From my opening remarks: "So I think this is a really exciting time for consensus and blockchain consensus specifically. Unusually, I think just in the last couple of years, there's been some really interesting theoretical developments, some new larger scale and better engineered implementation deployments within blockchain protocols we already have, and I think a really healthy interaction between those two. Theory that's been developed has in large part been motivated by what better consensus protocols in practice would be. A lot of people doing the tech transfer and actually building these things out knew the theory extremely well. So having spent a career in theoretical computer science, it's kind of a wonderful moment in time. Both theory and practice doing innovative work allows us to have such a healthy conversation between the two. Honestly, this workshop in large part is meant to just capture that moment in time, too. It's very unique. The list of speakers, I think it's amazing. People will know many of their names from their research papers, but also many of the speakers have been deep in the trenches, really making this stuff work at large scale, very high impact applications in practice. So we'll be hearing all their perspectives. In addition to some academics, we've got representatives from Ethereum Foundation, Anza, Aptos, Mysten Labs, a lot of the people who are building the biggest, most widely used Layer 1s."

Tim Roughgarden

19,909 просмотров • 21 дней назад

YT's Co-CEO Special Update Latest Progress on FF's EAI Robotics Education Product Line and Education System FF is the first company globally to propose home education as the consumer-facing EAI robotics breakout point, committed to making 2026 the inaugural year of EAI robotics in education. ① FFAI closed +85.55% yesterday, with an intraday high of +107.26% and over $272M in daily trading volume. ② FF received $45M in financing from a mid-to-large U.S. institutional investor, further validating confidence in FF's robotics strategy. ③ California State Treasurer Fiona Ma, El Segundo Mayor Chris Pimentel, and leaders from the Lynwood Unified School District jointly unveiled the California EAI Robotics Education and Innovation Lab. ④ FF officially signed a strategic partnership with Triple I, launching joint EAI education collaboration and a co-hosted EAI Robotics summer camp, marking scaled B2B + B2C rollout of "Robot & Vehicle + Education." ⑤ Education Ecosystem Product Line officially established. Following last week's Board additions from the core founding team, further management changes are pending Board approval.

YT's Co-CEO Special Update Latest Progress on FF's EAI Robotics Education Product Line and Education System FF is the first company globally to propose home education as the consumer-facing EAI robotics breakout point, committed to making 2026 the inaugural year of EAI robotics in education. ① FFAI closed +85.55% yesterday, with an intraday high of +107.26% and over $272M in daily trading volume. ② FF received $45M in financing from a mid-to-large U.S. institutional investor, further validating confidence in FF's robotics strategy. ③ California State Treasurer Fiona Ma, El Segundo Mayor Chris Pimentel, and leaders from the Lynwood Unified School District jointly unveiled the California EAI Robotics Education and Innovation Lab. ④ FF officially signed a strategic partnership with Triple I, launching joint EAI education collaboration and a co-hosted EAI Robotics summer camp, marking scaled B2B + B2C rollout of "Robot & Vehicle + Education." ⑤ Education Ecosystem Product Line officially established. Following last week's Board additions from the core founding team, further management changes are pending Board approval.

YT Jia 贾跃亭

18,183 просмотров • 4 месяцев назад

In 2005, the highest expected-value career move a finance grad could make was taking the Lehman Brothers offer. A hedge fund manager on why the smartest people make the number one career mistake: Sinan Xin joined Lehman's tech M&A group out of Penn in '06 — now runs a global EM tech long/short fund. Sinan Xin explains: "The number one mistake people make at this stage is going somewhere for what seems like a rational economic outcome." "The reason people do that is because these are intelligent people — making what seems to be a very reasonable and attractive economic choice." "But five, ten years down the line, you're surrounded by people who made the same choice you did — for a different and potentially better reason." "That's when you find you're not as competitive. You're not as passionate about generating alpha on a large cap US portfolio. You're not the expert on squeezing a millionth of a millisecond out of a trade." "Making a decision based on passion rather than pure expected value is more alpha down the line — because the fidelity in calculating those expected values is quite low." "In 2005, the expected value of taking a job offer from Lehman Brothers was quite high. The outcomes were different." "People place too much faith in their own ability to assign correct probabilities to uncertain outcomes."

In 2005, the highest expected-value career move a finance grad could make was taking the Lehman Brothers offer. A hedge fund manager on why the smartest people make the number one career mistake: Sinan Xin joined Lehman's tech M&A group out of Penn in '06 — now runs a global EM tech long/short fund. Sinan Xin explains: "The number one mistake people make at this stage is going somewhere for what seems like a rational economic outcome." "The reason people do that is because these are intelligent people — making what seems to be a very reasonable and attractive economic choice." "But five, ten years down the line, you're surrounded by people who made the same choice you did — for a different and potentially better reason." "That's when you find you're not as competitive. You're not as passionate about generating alpha on a large cap US portfolio. You're not the expert on squeezing a millionth of a millisecond out of a trade." "Making a decision based on passion rather than pure expected value is more alpha down the line — because the fidelity in calculating those expected values is quite low." "In 2005, the expected value of taking a job offer from Lehman Brothers was quite high. The outcomes were different." "People place too much faith in their own ability to assign correct probabilities to uncertain outcomes."

Ethan Kho

43,610 просмотров • 1 месяц назад

We’re thrilled to share that our MERFISH+ preprint is now live on bioRxiv!👉 In this work, the Bintu and Zhu labs (UCSD) developed MERFISH+, a next-generation spatial genomics platform that combines genome-wide RNA and epigenetic imaging over a large field of view. By introducing acrydite-modified probes covalently anchored to hydrogels, MERFISH+ achieves remarkable imaging stability and enables >1,800-gene, multi-modal, and multi-month experiments. With this platform, they, together with the Chi lab at UCSD, profiled a whole developing human heart at 12 post-conception week with merely two slides, resulting in a total of 53 slides, 3.1 million single cells and more than 30 cell types. Building upon our previous 3D reconstruction and modeling framework, Spateo ( we reconstruct the 3D human heart that nicely captures the anatomical structure of the heart, including the intricate vasculature network. Sophisticated analyses provide a holistic view of an entire organ and enable systematic characterization of 3D cellular neighborhoods and transcriptional gradients of substructures such as the descending arteries. Furthermore, using a generative integration framework for spatial multimodal data (Spateo-VI), we harmonized these MERFISH+ transcriptomic and chromatin data to reconstruct a 3D spatially-resolved multi-omics atlas of the developing human heart, shared at and MERFISH+ thus sets a new standard for large-format, multi-omic spatial profiling, enabling holistic, 3D characterization of organs at subcellular resolution. Huge congratulations to first authors Colin Kern, qingquan Zhang, Yifan Lu , and Jacqueline Eschbach, and to all collaborators from the Bintu, Zhu, Chi, and Qiu labs for this amazing team effort. Thanks for your diligence, creativity, and hard work on this project. We’re grateful for support from Arc Institute and our generous donors. Our lab is expanding—if you’re excited about building the next generation of single-cell and spatial genomics techniques and predictive single cell and spatial foundation models, we’re hiring! If you are interested, please reach out to me via direct message or email at xiaojie@stanford.edu. We are excited for any potential collaborations along this line of research in Stanford, UCSF and Berkeley and other labs as well.

We’re thrilled to share that our MERFISH+ preprint is now live on bioRxiv!👉 In this work, the Bintu and Zhu labs (UCSD) developed MERFISH+, a next-generation spatial genomics platform that combines genome-wide RNA and epigenetic imaging over a large field of view. By introducing acrydite-modified probes covalently anchored to hydrogels, MERFISH+ achieves remarkable imaging stability and enables >1,800-gene, multi-modal, and multi-month experiments. With this platform, they, together with the Chi lab at UCSD, profiled a whole developing human heart at 12 post-conception week with merely two slides, resulting in a total of 53 slides, 3.1 million single cells and more than 30 cell types. Building upon our previous 3D reconstruction and modeling framework, Spateo ( we reconstruct the 3D human heart that nicely captures the anatomical structure of the heart, including the intricate vasculature network. Sophisticated analyses provide a holistic view of an entire organ and enable systematic characterization of 3D cellular neighborhoods and transcriptional gradients of substructures such as the descending arteries. Furthermore, using a generative integration framework for spatial multimodal data (Spateo-VI), we harmonized these MERFISH+ transcriptomic and chromatin data to reconstruct a 3D spatially-resolved multi-omics atlas of the developing human heart, shared at and MERFISH+ thus sets a new standard for large-format, multi-omic spatial profiling, enabling holistic, 3D characterization of organs at subcellular resolution. Huge congratulations to first authors Colin Kern, qingquan Zhang, Yifan Lu , and Jacqueline Eschbach, and to all collaborators from the Bintu, Zhu, Chi, and Qiu labs for this amazing team effort. Thanks for your diligence, creativity, and hard work on this project. We’re grateful for support from Arc Institute and our generous donors. Our lab is expanding—if you’re excited about building the next generation of single-cell and spatial genomics techniques and predictive single cell and spatial foundation models, we’re hiring! If you are interested, please reach out to me via direct message or email at [email protected]. We are excited for any potential collaborations along this line of research in Stanford, UCSF and Berkeley and other labs as well.

evo-devo

42,307 просмотров • 10 месяцев назад

The Antonov AN-124 has officially landed at NASA Wallops Flight Facility — presumably carrying Rocket Lab Neutron hardware. The aircraft traveled all the way from New Zealand, making stops in Fiji and San Bernardino, California before departing this morning for Wallops. Pictures really don’t do this thing justice. It’s a massive aircraft and was very cool to finally see in person. There was also a really nice crowd gathered at the NASA Wallops Flight Facility Visitor Center observation deck to watch the arrival. During the landing, I shot another high-speed continuous photo sequence, so I may be able to put together a video from it later. For now, I focused mostly on photos and a short video after touchdown while it rolled down the runway. The aircraft is currently parked near the end of the runway being unloaded. Definitely an exciting day out at Wallops. Thanks to all of the rocket lab community who help track this all the way to Wallops. MurrayJ jaustin175 NSF - NASASpaceflight.com

The Antonov AN-124 has officially landed at NASA Wallops Flight Facility — presumably carrying Rocket Lab Neutron hardware. The aircraft traveled all the way from New Zealand, making stops in Fiji and San Bernardino, California before departing this morning for Wallops. Pictures really don’t do this thing justice. It’s a massive aircraft and was very cool to finally see in person. There was also a really nice crowd gathered at the NASA Wallops Flight Facility Visitor Center observation deck to watch the arrival. During the landing, I shot another high-speed continuous photo sequence, so I may be able to put together a video from it later. For now, I focused mostly on photos and a short video after touchdown while it rolled down the runway. The aircraft is currently parked near the end of the runway being unloaded. Definitely an exciting day out at Wallops. Thanks to all of the rocket lab community who help track this all the way to Wallops. MurrayJ jaustin175 NSF - NASASpaceflight.com

EasternShoreSpaceflight

42,266 просмотров • 3 месяцев назад

🚨🇷🇺Russia Turns Siberia Into an AI Powerhouse While the US and Europe face high electricity prices that slow down AI growth, Russia is making a smart move: building huge data centers in cold Siberia and the Far East. These regions used to export just oil and gas — now they're starting to export AI computing power. 🔸 Russia has 194 commercial data centers. Moscow once had 85% of them, but Siberia and the Far East now hold over 15% — and that share is growing fast. 🔸 Siberia’s cold air cools servers for 8–9 months a year, making power efficiency excellent. Hot, humid China has much lower efficiency. 🔸 In Russian Far East special zones, electricity costs just $0.045–0.065 per kWh — 2 to 2.5 times cheaper than in eastern China. Running a 10 MW server farm costs about $475,000 a month in Russia, compared to over $1.1 million in Shanghai. 🔸 Russia freed up 1.5–2 GW of power by cracking down on illegal crypto mining, which was using 2.5–3 GW, mostly in Siberia. There’s also extra clean hydro power from large dams. 🔸 Big Chinese companies like Alibaba, Tencent, and carmakers Haval, Chery, and Geely are moving in. Chinese EV companies have raised spending on Russian cloud services 13 times. They get cheaper, greener power and must follow Russian data laws — all while staying very close to China for fast connections. Could Siberia’s cheap AI power leave the West behind in the neuro-age?

🚨🇷🇺Russia Turns Siberia Into an AI Powerhouse While the US and Europe face high electricity prices that slow down AI growth, Russia is making a smart move: building huge data centers in cold Siberia and the Far East. These regions used to export just oil and gas — now they're starting to export AI computing power. 🔸 Russia has 194 commercial data centers. Moscow once had 85% of them, but Siberia and the Far East now hold over 15% — and that share is growing fast. 🔸 Siberia’s cold air cools servers for 8–9 months a year, making power efficiency excellent. Hot, humid China has much lower efficiency. 🔸 In Russian Far East special zones, electricity costs just $0.045–0.065 per kWh — 2 to 2.5 times cheaper than in eastern China. Running a 10 MW server farm costs about $475,000 a month in Russia, compared to over $1.1 million in Shanghai. 🔸 Russia freed up 1.5–2 GW of power by cracking down on illegal crypto mining, which was using 2.5–3 GW, mostly in Siberia. There’s also extra clean hydro power from large dams. 🔸 Big Chinese companies like Alibaba, Tencent, and carmakers Haval, Chery, and Geely are moving in. Chinese EV companies have raised spending on Russian cloud services 13 times. They get cheaper, greener power and must follow Russian data laws — all while staying very close to China for fast connections. Could Siberia’s cheap AI power leave the West behind in the neuro-age?

NewRulesGeopolitics

36,918 просмотров • 4 месяцев назад

Over the past year, I’ve integrated a concept I learned from Stanley Druckenmiller into my process called “invest and then investigate.” This approach played a key role in some of my recent big trades such as $ETH and $IWM. Have you ever discovered a compelling idea, spent days or weeks researching, and by the time you’re ready, a big portion of the move has already happened? That little hesitation creates what Druck calls “psychological paralysis”—you feel locked out, and it becomes mentally harder to buy higher. You then have to watch your big trade opportunity go without you or even worse, you get FOMO and chase the move, only to get caught in the pullback. Now, whenever I sense an opportunity with serious potential, I make immediate contact. I start small, just enough to get exposure, and then gradually size up as new information confirms my thesis and price action supports it. If i already have an initial stake, even if it’s small, adding as my conviction builds feels much more natural. This helps avoid adding too much size too quick, while also buying you time to really investigate the idea and build your conviction. Sometimes that starter position gets cut entirely, other times it grows into a large position. Making that initial contact has helped me tremendously when it comes to dealing with high conviction and big swing trade opportunities. 3x time U.S Investing Champion David Ryan also uses a similar concept within his trading called “mental health buys”. He will buy a small position in a stock he wants to own but that it is not perfectly setup yet, with the goal of eventually making it a larger position. Here is a clip from Stan Druckenmiller discussing “invest and then investigate” on the In Good Company podcast.

Over the past year, I’ve integrated a concept I learned from Stanley Druckenmiller into my process called “invest and then investigate.” This approach played a key role in some of my recent big trades such as $ETH and $IWM. Have you ever discovered a compelling idea, spent days or weeks researching, and by the time you’re ready, a big portion of the move has already happened? That little hesitation creates what Druck calls “psychological paralysis”—you feel locked out, and it becomes mentally harder to buy higher. You then have to watch your big trade opportunity go without you or even worse, you get FOMO and chase the move, only to get caught in the pullback. Now, whenever I sense an opportunity with serious potential, I make immediate contact. I start small, just enough to get exposure, and then gradually size up as new information confirms my thesis and price action supports it. If i already have an initial stake, even if it’s small, adding as my conviction builds feels much more natural. This helps avoid adding too much size too quick, while also buying you time to really investigate the idea and build your conviction. Sometimes that starter position gets cut entirely, other times it grows into a large position. Making that initial contact has helped me tremendously when it comes to dealing with high conviction and big swing trade opportunities. 3x time U.S Investing Champion David Ryan also uses a similar concept within his trading called “mental health buys”. He will buy a small position in a stock he wants to own but that it is not perfectly setup yet, with the goal of eventually making it a larger position. Here is a clip from Stan Druckenmiller discussing “invest and then investigate” on the In Good Company podcast.

Bracco ⚡️

27,897 просмотров • 1 год назад

Groq is serving the fastest responses I've ever seen. We're talking almost 500 T/s! I did some research on how they're able to do it. Turns out they developed their own hardware that utilize LPUs instead of GPUs. Here's the skinny: Groq created a novel processing unit known as the Tensor Streaming Processor (TSP) which they categorize as a Linear Processor Unit (LPU). Unlike traditional GPUs that are parallel processors with hundreds of cores designed for graphics rendering, LPUs are architected to deliver deterministic performance for AI computations. The LPU's architecture is a departure from the SIMD (Single Instruction, Multiple Data) model used by GPUs and favor a more streamlined approach that eliminate the need for complex scheduling hardware. This design allows every clock cycle to be utilized effectively, ensuring consistent latency and throughput. For developers, this means that performance can be precisely predicted and optimized which is critical in real-time AI applications. Energy efficiency is another area where LPUs shine. By reducing the overhead of managing multiple threads and avoiding the underutilization of cores, LPUs can deliver more computations per watt. Groq's innovative chip design allows multiple TSPs to be linked together without the traditional bottlenecks found in GPU clusters making them extremely scalable. This enables linear scaling of performance as more LPUs are added simplifying the hardware requirements for large-scale AI models and making it easier for developers to scale their applications without rearchitecting their systems. So what does this all mean? LPUs could provide a massive improvement compared to GPUs for serving AI applications in the future! If anything it will be great to have alternative high performing hardware since A100s and H100s are so in demand

Groq is serving the fastest responses I've ever seen. We're talking almost 500 T/s! I did some research on how they're able to do it. Turns out they developed their own hardware that utilize LPUs instead of GPUs. Here's the skinny: Groq created a novel processing unit known as the Tensor Streaming Processor (TSP) which they categorize as a Linear Processor Unit (LPU). Unlike traditional GPUs that are parallel processors with hundreds of cores designed for graphics rendering, LPUs are architected to deliver deterministic performance for AI computations. The LPU's architecture is a departure from the SIMD (Single Instruction, Multiple Data) model used by GPUs and favor a more streamlined approach that eliminate the need for complex scheduling hardware. This design allows every clock cycle to be utilized effectively, ensuring consistent latency and throughput. For developers, this means that performance can be precisely predicted and optimized which is critical in real-time AI applications. Energy efficiency is another area where LPUs shine. By reducing the overhead of managing multiple threads and avoiding the underutilization of cores, LPUs can deliver more computations per watt. Groq's innovative chip design allows multiple TSPs to be linked together without the traditional bottlenecks found in GPU clusters making them extremely scalable. This enables linear scaling of performance as more LPUs are added simplifying the hardware requirements for large-scale AI models and making it easier for developers to scale their applications without rearchitecting their systems. So what does this all mean? LPUs could provide a massive improvement compared to GPUs for serving AI applications in the future! If anything it will be great to have alternative high performing hardware since A100s and H100s are so in demand

Jay Scambler

318,228 просмотров • 2 лет назад

We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: Video: Project page: Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, @marcocannic, Vijay Kumar Nikolai Matni UZH Science University of Zurich UZH Space Hub UZH IfI European Research Council (ERC) GRASP Laboratory Penn Engineering

We are excited to share our #CORL2024 paper on learning quadrotor obstacle avoidance from the visual stream of a single #eventcamera! Trained entirely in simulation! We demonstrate obstacle avoidance both in the dark and in a forest up to 5m/s. PDF: Video: Project page: Event cameras are sensors that output per-pixel-level intensity changes at microsecond latency resolution; they feature nearly zero motion blur and high dynamic range but produce a very large volume of events under significant ego-motion and further lack a high-fidelity continuous-time sensor model in simulation, making direct #sim2real transfer not possible. By leveraging depth prediction as a pretext task, we pre-train a reactive obstacle avoidance policy with “approximated” simulated events and then fine-tune the perception component with limited events-and-depth real-world data. This technique bridges the sim2real gap for #eventcameras! As at the current state, there is no continuous-time sensor model for event cameras, we hope that this work can finally spur future research leveraging simulation for training event-vision-based policies to create faster, agile robots! Kudos to Anish Bhattacharya, @marcocannic, Vijay Kumar Nikolai Matni UZH Science University of Zurich UZH Space Hub UZH IfI European Research Council (ERC) GRASP Laboratory Penn Engineering

Davide Scaramuzza

17,219 просмотров • 1 год назад

This is ABSOLUTELY SHOCKING & HORRIFYING, if accurate…😳😳😳 According to Alex Jones, a source said that Dan Bongino said that many high ranking officials in the Trump administration are looking to effectively “neutralize” ANY opposition or dissension coming from conservative pundits with large audiences like General Mike Flynn or Steve Bannon etc, and many others. On top of this, they are making ENEMIES LISTS of dissidents who dare to criticize the admin to destroy their lives, and apparently according to this source, Trump himself is totally oblivious to this…Which, in itself is absolutely INSANE, and very hard to believe. The second Trump admin is operating like a ruthless Bolshevik mafioso machine, shutting down any dissidents, who are even on the same side as Trump… I can’t believe I’m saying this, but this is actually WORSE than the Biden admin. Regardless about whatever you think about who or what, this is a HORRIFIC precedent being set, where our government can literally come after anyone because we are using our 1A RIGHTS.

This is ABSOLUTELY SHOCKING & HORRIFYING, if accurate…😳😳😳 According to Alex Jones, a source said that Dan Bongino said that many high ranking officials in the Trump administration are looking to effectively “neutralize” ANY opposition or dissension coming from conservative pundits with large audiences like General Mike Flynn or Steve Bannon etc, and many others. On top of this, they are making ENEMIES LISTS of dissidents who dare to criticize the admin to destroy their lives, and apparently according to this source, Trump himself is totally oblivious to this…Which, in itself is absolutely INSANE, and very hard to believe. The second Trump admin is operating like a ruthless Bolshevik mafioso machine, shutting down any dissidents, who are even on the same side as Trump… I can’t believe I’m saying this, but this is actually WORSE than the Biden admin. Regardless about whatever you think about who or what, this is a HORRIFIC precedent being set, where our government can literally come after anyone because we are using our 1A RIGHTS.

The Patriot Voice

324,614 просмотров • 8 месяцев назад

PFAS, also known as “forever chemicals,” are a large group of synthetic chemicals that break down very slowly over time and are linked to harmful effects on human health. They’re used in a vast array of products, from pots and pans to computers and even dental floss. Laurel Schaider, senior scientist at the Silent Spring Institute in Massachusetts, studies the spread of PFAS chemicals in the drinking water and their effects on human health. She discussed ways that people can take steps to reduce exposure to PFAS in their daily lives. “There are some things that we can do, such as avoiding buying Teflon-coated pans, skipping stain resistant or waterproof items where they're not needed,” she told Horizons host William Brangham. Schaider noted that, while formulations of food packaging have changed, her past advice has been to avoid microwave popcorn and other types of grease-proof food packaging which might contain PFAS. “People are surprised to learn that Glide dental floss is made of Teflon," she said. "There are cosmetics with PFAS." But there is a challenge, Schaider said, because the products don’t include labels that disclose if they contain these chemicals. Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.

PFAS, also known as “forever chemicals,” are a large group of synthetic chemicals that break down very slowly over time and are linked to harmful effects on human health. They’re used in a vast array of products, from pots and pans to computers and even dental floss. Laurel Schaider, senior scientist at the Silent Spring Institute in Massachusetts, studies the spread of PFAS chemicals in the drinking water and their effects on human health. She discussed ways that people can take steps to reduce exposure to PFAS in their daily lives. “There are some things that we can do, such as avoiding buying Teflon-coated pans, skipping stain resistant or waterproof items where they're not needed,” she told Horizons host William Brangham. Schaider noted that, while formulations of food packaging have changed, her past advice has been to avoid microwave popcorn and other types of grease-proof food packaging which might contain PFAS. “People are surprised to learn that Glide dental floss is made of Teflon," she said. "There are cosmetics with PFAS." But there is a challenge, Schaider said, because the products don’t include labels that disclose if they contain these chemicals. Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.

PBS News

17,214 просмотров • 7 месяцев назад

Wind and solar don't work at night or when the wind isn't blowing. Australia is told the solution is batteries! Real world experience shows that batteries are too expensive, too slow to build and don't last long enough to support a grid. During this session with the Australian Renewable Energy Agency (ARENA), I revisited the status of the eight large-scale battery storage projects funded in 2022, noting that $176 million had been allocated but none had completed construction by February. I was told that while all projects are progressing, some face challenges like grid connection issues. I highlighted the significant cost increase from $2.7 billion to $3.1 billion and questioned the efficiency and cost-effectiveness of these batteries compared to coal-fired power stations. I also raised concerns about the stability and reliability of renewable energy sources like solar and wind, and the additional costs associated with making them grid-compatible. Additionally, I asked ARENA about their responsibilities and the financial transparency of their operations. I emphasised the high cost of electricity in Australia compared to countries like China and criticised the impact of net-zero policies on manufacturing. We need to ditch net-zero. Use the cheap resources we have in Australia's ground for Australians first!

Wind and solar don't work at night or when the wind isn't blowing. Australia is told the solution is batteries! Real world experience shows that batteries are too expensive, too slow to build and don't last long enough to support a grid. During this session with the Australian Renewable Energy Agency (ARENA), I revisited the status of the eight large-scale battery storage projects funded in 2022, noting that $176 million had been allocated but none had completed construction by February. I was told that while all projects are progressing, some face challenges like grid connection issues. I highlighted the significant cost increase from $2.7 billion to $3.1 billion and questioned the efficiency and cost-effectiveness of these batteries compared to coal-fired power stations. I also raised concerns about the stability and reliability of renewable energy sources like solar and wind, and the additional costs associated with making them grid-compatible. Additionally, I asked ARENA about their responsibilities and the financial transparency of their operations. I emphasised the high cost of electricity in Australia compared to countries like China and criticised the impact of net-zero policies on manufacturing. We need to ditch net-zero. Use the cheap resources we have in Australia's ground for Australians first!

Malcolm Roberts 🇦🇺

21,336 просмотров • 1 год назад

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:

Andrew Ng

77,792 просмотров • 1 год назад

VIDEO | As INVS Kaundinya arrives in Muscat, Commodore Prashant C Menon says, "So I am Captain Prashant Menon. I am the officer in charge of the Ocean Sailing Node. So, in this expedition, my responsibility was to identify the crew, select the crew from the large group that maybe had provided for selection. And thereafter, to train them. What do you have to realise that this 1500 year old design. That means today there's nobody living who can teach the team to how to sail. For that matter, even I didn't know how to, train the people. So we undertook various iterations. We selected the team, we sent them to learn carpentry, we sent them to learn riggings, splicing, making these, eyes, and... Everything associated with difficult seamanship activities were there. So, we, the first three months, we, the team was there at the yard, learning from the craftsmen, artisans who have made this deck. Thereafter, we learned how to dock the boat, lifting, the mast can be removed. We removed the mast, got the boat dry-docked, checked the underwater inspection, and thereafter, by September, when monsoon had come down, its intensity had come down. It started affecting us. We did several days at sea sailing the boat and understanding the specifics of a boat of this kind. It is very unique. You see, today's boats have the capability of sailing upwind. Upwind, in the sense, if the wind is coming directly from ahead, of course, you can't take a sailboat right ahead, but you can do a zigzag and having its square mast, it's very different. She needs wind from behind. It's a downwind, so training to sail the boat, turning the direction of the boats, how to hoist, when to hoist, there are two masts. What is the team coordination? All these things were something new to all of us. And we went through this process." #INVSKaundinya

VIDEO | As INVS Kaundinya arrives in Muscat, Commodore Prashant C Menon says, "So I am Captain Prashant Menon. I am the officer in charge of the Ocean Sailing Node. So, in this expedition, my responsibility was to identify the crew, select the crew from the large group that maybe had provided for selection. And thereafter, to train them. What do you have to realise that this 1500 year old design. That means today there's nobody living who can teach the team to how to sail. For that matter, even I didn't know how to, train the people. So we undertook various iterations. We selected the team, we sent them to learn carpentry, we sent them to learn riggings, splicing, making these, eyes, and... Everything associated with difficult seamanship activities were there. So, we, the first three months, we, the team was there at the yard, learning from the craftsmen, artisans who have made this deck. Thereafter, we learned how to dock the boat, lifting, the mast can be removed. We removed the mast, got the boat dry-docked, checked the underwater inspection, and thereafter, by September, when monsoon had come down, its intensity had come down. It started affecting us. We did several days at sea sailing the boat and understanding the specifics of a boat of this kind. It is very unique. You see, today's boats have the capability of sailing upwind. Upwind, in the sense, if the wind is coming directly from ahead, of course, you can't take a sailboat right ahead, but you can do a zigzag and having its square mast, it's very different. She needs wind from behind. It's a downwind, so training to sail the boat, turning the direction of the boats, how to hoist, when to hoist, there are two masts. What is the team coordination? All these things were something new to all of us. And we went through this process." #INVSKaundinya

Press Trust of India

25,632 просмотров • 7 месяцев назад