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We're going to conduct science at Mars.🔴 Yesterday we announced the Interplanetary Sciences Program. Today, let’s take a closer look at the ground-breaking technology we're developing and launching to the Red Planet: 📡 A shallow radar sounder built by us to map subsurface ice and geology, revealing climate and...

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Relativity Space

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77,649 次观看 • 1 个月前 •via X (Twitter)

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Meet Blue Origin's Mars Telecommunications Orbiter (MTO), a high-performance spacecraft built upon our existing and affordable Blue Ring platform that is ready to support NASA’s Mars mission in 2028. The orbiter builds upon Blue Origin’s Mars Next-Generation Relay and Mars Sample Return architecture commercial proposals and creates a high-speed telecommunications relay network for coverage between Earth and Mars. Our orbiter's hybrid propulsion, maneuvering capability, and capacity greatly expand the windows to get to the Red Planet. MTO also provides powerful edge and AI computing benefits to help with Mars science and exploration missions. Learn more:
1:37

Meet Blue Origin's Mars Telecommunications Orbiter (MTO), a high-performance spacecraft built upon our existing and affordable Blue Ring platform that is ready to support NASA’s Mars mission in 2028. The orbiter builds upon Blue Origin’s Mars Next-Generation Relay and Mars Sample Return architecture commercial proposals and creates a high-speed telecommunications relay network for coverage between Earth and Mars. Our orbiter's hybrid propulsion, maneuvering capability, and capacity greatly expand the windows to get to the Red Planet. MTO also provides powerful edge and AI computing benefits to help with Mars science and exploration missions. Learn more:

Blue Origin

198,439 次观看 • 11 个月前

(1/12) Introducing Kite AI: a foundational AI layer to open the world to decentralized intelligence. Built by the team behind ZettaBlock, today we are launching to unlock fair access to essential AI assets: data, models and agents for all. Here's how. 🧵👇
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(1/12) Introducing Kite AI: a foundational AI layer to open the world to decentralized intelligence. Built by the team behind ZettaBlock, today we are launching to unlock fair access to essential AI assets: data, models and agents for all. Here's how. 🧵👇

KITE AI

3,416,658 次观看 • 1 年前

NASA Chief says AI will be essential in robotics and crewed missions. “AI operations such as autonomous driving and detection, is going to be just essential for both robotics and crewed missions.” Jared Isaacman in response to my question 🥳 Isaacman pointed to NASA’s Perseverance rover as an example, noting that it already performs tasks such as autonomous driving and onboard detection. He highlighted that AI will speed up data analysis by filtering information without it needing to travel back to Earth. AI may also be built into the software of NASA’s upcoming mission to Venus from the very beginning, Jared added. NASA is launching two major robotic missions, DAVINCI and VERITAS, in the late 2020s to 2030-2031 to study Venus, marking a significant return to the planet after over 30 years. These Discovery Program missions aim to understand how Venus became a "hothouse" inferno,, focusing on its atmosphere, geologic history, and potential for having once had an ocean.
1:34

NASA Chief says AI will be essential in robotics and crewed missions. “AI operations such as autonomous driving and detection, is going to be just essential for both robotics and crewed missions.” Jared Isaacman in response to my question 🥳 Isaacman pointed to NASA’s Perseverance rover as an example, noting that it already performs tasks such as autonomous driving and onboard detection. He highlighted that AI will speed up data analysis by filtering information without it needing to travel back to Earth. AI may also be built into the software of NASA’s upcoming mission to Venus from the very beginning, Jared added. NASA is launching two major robotic missions, DAVINCI and VERITAS, in the late 2020s to 2030-2031 to study Venus, marking a significant return to the planet after over 30 years. These Discovery Program missions aim to understand how Venus became a "hothouse" inferno,, focusing on its atmosphere, geologic history, and potential for having once had an ocean.

Lenka White

12,315 次观看 • 5 个月前

We're building one of Europe's largest AI factories in Lappeenranta, Finland, and we're looking for the team to run it. Latest-generation NVIDIA accelerated compute. First capacity live in 2027, powered by low-carbon energy. From shift patterns to tooling, this is a chance to write the runbook from day one across data center operations and data center IT. Bring it online with us:
0:20

We're building one of Europe's largest AI factories in Lappeenranta, Finland, and we're looking for the team to run it. Latest-generation NVIDIA accelerated compute. First capacity live in 2027, powered by low-carbon energy. From shift patterns to tooling, this is a chance to write the runbook from day one across data center operations and data center IT. Bring it online with us:

Nebius

47,636 次观看 • 2 个月前

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.
4:03

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.

Nima Alidoust

27,557 次观看 • 28 天前

Amazon Redshift RG, powered by AWS Graviton, deliver better performance - running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 at 30% lower cost per vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet. Built to meet the demands of today’s analytics and agentic AI workloads.
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Amazon Redshift RG, powered by AWS Graviton, deliver better performance - running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 at 30% lower cost per vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet. Built to meet the demands of today’s analytics and agentic AI workloads.

Amazon Web Services

13,468 次观看 • 2 个月前

We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated campaign targeting energy and data center projects across multiple regions. I shared 90 pages of evidence with federal law enforcement and raised concerns directly with contacts at the White House. This isn’t speculation. The filings, funding records, dates, and connections are documented. There’s a coordinated PR war happening around energy infrastructure and data centers, and we’re not going to ignore it.
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We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated campaign targeting energy and data center projects across multiple regions. I shared 90 pages of evidence with federal law enforcement and raised concerns directly with contacts at the White House. This isn’t speculation. The filings, funding records, dates, and connections are documented. There’s a coordinated PR war happening around energy infrastructure and data centers, and we’re not going to ignore it.

Kevin O'Leary aka Mr. Wonderful

2,696,065 次观看 • 2 个月前

🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can create a data flywheel, leveraging infrastructure to capture, ingest, analyze, and evaluate the vast quantities of data generated by real-world systems. Robotics data is multimodal, time-synchronized, and bandwidth‑constrained at the edge. Traditional data and observability platforms were only designed to store and query text and time-series data, not petabyte-scale 3D, video, audio, GNSS, and proprioceptive data. The ability to efficiently capture, ingest, search, visualize, and evaluate multimodal data is critical to Physical AI development. Foxglove is a modern data engine for Physical AI, enabling you to record logs or capture demonstrations at the edge, sync recordings to the cloud or on-premises storage, find critical events across petabytes of data, evaluate robot performance, and watch a 3D frame-by-frame replay using our advanced visualization tool. 👉 Today is still Day 1 for Physical AI, and we're hiring for dozens of roles to assemble the best team in the industry. If you've built ML platforms, data infrastructure, dataset curation, evaluation and validation, or visualization tools at a leading robotics or autonomous vehicle company, let's chat – drop me a note or tag a friend below and I'll follow up personally! Thank you to Alexandra Sukin and Jeremy Levine at Bessemer, Seth Winterroth 🤖 at Eclipse, David Beyer and Sunil Dhaliwal at Amplify Partners, and Icehouse Ventures for joining us on this mission. Also a special shoutout to our angels tobi lutke Alex Kendall Kyle Vogt Milan Kovac Hussein Mehanna Pieter Abbeel Brad Porter Boris Sofman Kevin Peterson Chris Walti Lindon Gao Daniel Kan Adam Draper ⏻ Fred Ehrsam and Karri Saarinen!
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🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can create a data flywheel, leveraging infrastructure to capture, ingest, analyze, and evaluate the vast quantities of data generated by real-world systems. Robotics data is multimodal, time-synchronized, and bandwidth‑constrained at the edge. Traditional data and observability platforms were only designed to store and query text and time-series data, not petabyte-scale 3D, video, audio, GNSS, and proprioceptive data. The ability to efficiently capture, ingest, search, visualize, and evaluate multimodal data is critical to Physical AI development. Foxglove is a modern data engine for Physical AI, enabling you to record logs or capture demonstrations at the edge, sync recordings to the cloud or on-premises storage, find critical events across petabytes of data, evaluate robot performance, and watch a 3D frame-by-frame replay using our advanced visualization tool. 👉 Today is still Day 1 for Physical AI, and we're hiring for dozens of roles to assemble the best team in the industry. If you've built ML platforms, data infrastructure, dataset curation, evaluation and validation, or visualization tools at a leading robotics or autonomous vehicle company, let's chat – drop me a note or tag a friend below and I'll follow up personally! Thank you to Alexandra Sukin and Jeremy Levine at Bessemer, Seth Winterroth 🤖 at Eclipse, David Beyer and Sunil Dhaliwal at Amplify Partners, and Icehouse Ventures for joining us on this mission. Also a special shoutout to our angels tobi lutke Alex Kendall Kyle Vogt Milan Kovac Hussein Mehanna Pieter Abbeel Brad Porter Boris Sofman Kevin Peterson Chris Walti Lindon Gao Daniel Kan Adam Draper ⏻ Fred Ehrsam and Karri Saarinen!

Adrian Macneil — 🤖/acc

46,580 次观看 • 8 个月前

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026
1:04

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026

ELON CLIPS

21,962 次观看 • 4 个月前

📢We’re excited to share that we’ve raised $100M in seed funding to support LMArena and continue our research on reliable AI. Led by a16z and UC Investments (University of California), we're proud to have the support of those that believe in both the science and the mission. We’re focused on building a neutral, open, community-driven platform that helps the world understand and improve the performance of AI models on real queries from real users. Also, big news is coming next week!👀 We're relaunching LMArena with a whole new look built directly with community feedback from the ground up 🧱 Link in thread.
1:11

📢We’re excited to share that we’ve raised $100M in seed funding to support LMArena and continue our research on reliable AI. Led by a16z and UC Investments (University of California), we're proud to have the support of those that believe in both the science and the mission. We’re focused on building a neutral, open, community-driven platform that helps the world understand and improve the performance of AI models on real queries from real users. Also, big news is coming next week!👀 We're relaunching LMArena with a whole new look built directly with community feedback from the ground up 🧱 Link in thread.

Arena.ai

435,742 次观看 • 1 年前

Introducing the new UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 Sites Navigator—a powerful new digital platform designed for the exploration, analysis, and monitoring of UNESCO-designated sites worldwide. This interactive tool provides verified, geospatial data on #WorldHeritage properties, #BiosphereReserves, and #GlobalGeoparks. With advanced cartographic features, users can explore site boundaries and information, measure and annotate directly on the map, import/export shapefiles, and access reliable data to support research and conservation. Funded by the Flanders, the platform is strengthening capacities for effective and sustainable heritage management globally. Discover how geospatial technology is transforming heritage conservation. Start exploring today: Flanders DFA #47WHC
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Introducing the new UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 Sites Navigator—a powerful new digital platform designed for the exploration, analysis, and monitoring of UNESCO-designated sites worldwide. This interactive tool provides verified, geospatial data on #WorldHeritage properties, #BiosphereReserves, and #GlobalGeoparks. With advanced cartographic features, users can explore site boundaries and information, measure and annotate directly on the map, import/export shapefiles, and access reliable data to support research and conservation. Funded by the Flanders, the platform is strengthening capacities for effective and sustainable heritage management globally. Discover how geospatial technology is transforming heritage conservation. Start exploring today: Flanders DFA #47WHC

UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳

11,590 次观看 • 1 年前

This 19 year old is an AI Researcher at smallest.ai and he’s already done what most people don’t in a decade: > apoorv Started coding at 14 by building a Discord bot and scaled it to 500K+ users in just a few months > Won major hackathons + science fairs in India, built real-world ML/robotics projects, and even got invited to meet PM Modi > Built viral AI products as a teen founder, got attention from top founders/VCs, and is now moving to SF Had him on the podcast today, and his journey is unrea!.
4:30

This 19 year old is an AI Researcher at smallest.ai and he’s already done what most people don’t in a decade: > apoorv Started coding at 14 by building a Discord bot and scaled it to 500K+ users in just a few months > Won major hackathons + science fairs in India, built real-world ML/robotics projects, and even got invited to meet PM Modi > Built viral AI products as a teen founder, got attention from top founders/VCs, and is now moving to SF Had him on the podcast today, and his journey is unrea!.

Muskan Jain

38,364 次观看 • 4 个月前

I am running for Congress to put people first, not corporate profits. I’m standing with our community to stop a data center from being built in the heart of a residential neighborhood. And I’m fighting for a moratorium on AI data centers and democratic sovereignty over this technology. That’s why Big Tech oligarchs are spending big money on Super PACs to try to stop our movement. We can’t let them. Let's come together and win a system that works for all of us. Join us at
1:40

I am running for Congress to put people first, not corporate profits. I’m standing with our community to stop a data center from being built in the heart of a residential neighborhood. And I’m fighting for a moratorium on AI data centers and democratic sovereignty over this technology. That’s why Big Tech oligarchs are spending big money on Super PACs to try to stop our movement. We can’t let them. Let's come together and win a system that works for all of us. Join us at

Kai Newkirk for Congress

19,991 次观看 • 15 天前

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.
1:00

Today we are excited to open up Neuracore to the academic community! Neuracore is a new data foundation built to accelerate robot learning by removing one of the field’s biggest bottlenecks: capturing and working with high-fidelity multimodal robotics data. For the first time, researchers can store, view, and work with robotics data in a cloud-native system built specifically for large-scale learning, and we are making this core platform completely free for academia. The platform lets teams capture every sensor at its native rate, store and visualize data without loss, and then train and deploy models locally using our open-source code (Link in the comments). We are rolling out access to select academic institutions first. Anyone with an academic email can sign up, and if your institution is not part of the initial rollout, you will be able to join the waitlist directly. Beyond providing this infrastructure, we see an opportunity to build a global community where engineers and researchers can share, collaborate, and advance the frontier of robot learning together. Supported by our recent $3M pre-seed round led by Earlybird VC, we are excited to take this mission even further. Our long-term goal is for Neuracore to become the natural home for cutting-edge robot learning algorithms and real-world robotics experimentation, helping accelerate the next wave of Physical AI.

Neuracore

40,620 次观看 • 8 个月前

🌍 25 Years of Innovation, Partnership, and Impact 🚀 On June 23, 1998, DDN made its first-ever sale — to NASA - National Aeronautics and Space Administration Goddard Space Flight Center — launching a legacy of breakthrough innovation that continues to this day. Our original S2A Silicon Storage Appliance powered the MODIS program for over two decades, supporting Earth-observing satellites Terra and Aqua in capturing critical data to better understand global change. From enabling NASA’s vision of Earth system modeling, to today’s AI-powered data intelligence platforms, DDN has remained at the heart of mission-critical discovery and transformation. 🛰️ 25 years later, we’re still pushing the boundaries — across space, science, and AI. We’re just getting started. 💬 Join us in celebrating this milestone by sharing your memories and stories with #DDN25Years — and let’s keep building the future, together. #DDN #NASA #MODIS #AI #HPC #Celebrating25Years #MilestoneMoment #Innovation #SpaceTech #TechExcellence #DataIntelligence
1:28

🌍 25 Years of Innovation, Partnership, and Impact 🚀 On June 23, 1998, DDN made its first-ever sale — to NASA - National Aeronautics and Space Administration Goddard Space Flight Center — launching a legacy of breakthrough innovation that continues to this day. Our original S2A Silicon Storage Appliance powered the MODIS program for over two decades, supporting Earth-observing satellites Terra and Aqua in capturing critical data to better understand global change. From enabling NASA’s vision of Earth system modeling, to today’s AI-powered data intelligence platforms, DDN has remained at the heart of mission-critical discovery and transformation. 🛰️ 25 years later, we’re still pushing the boundaries — across space, science, and AI. We’re just getting started. 💬 Join us in celebrating this milestone by sharing your memories and stories with #DDN25Years — and let’s keep building the future, together. #DDN #NASA #MODIS #AI #HPC #Celebrating25Years #MilestoneMoment #Innovation #SpaceTech #TechExcellence #DataIntelligence

DDN

111,870 次观看 • 1 年前

Another crew departed today from Mather, California, to fly an atmospheric river mission over the West Coast, collecting critical data to improve forecasts and support weather prediction efforts. These missions are developed by a team at the Center for Western Weather and Water Extremes at Scripps Institute of Oceanography. They are specifically targeted to gather data in areas where it will be most impactful for improving the forecast models. #readynow #AirForceReserve
0:29

Another crew departed today from Mather, California, to fly an atmospheric river mission over the West Coast, collecting critical data to improve forecasts and support weather prediction efforts. These missions are developed by a team at the Center for Western Weather and Water Extremes at Scripps Institute of Oceanography. They are specifically targeted to gather data in areas where it will be most impactful for improving the forecast models. #readynow #AirForceReserve

Hurricane Hunters

13,189 次观看 • 1 年前

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
0:47

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 次观看 • 6 个月前

this is why Palantir and its customers continue to dominate👇🏻 “We were just telling an older customer, ‘look, the way you're doing it will not allow us to create value.’ We're not a normal software company. If you're not creating value, how are we going to get paid? And by the way, you're gonna want to get rid of us at some point, so the whole thing makes no sense. Like, we're not selling you steak dinner, we're not selling you or our charm. We're selling you significant value creation in, in ridiculously short time.” via Molly O’Shea and sourcery
0:23

this is why Palantir and its customers continue to dominate👇🏻 “We were just telling an older customer, ‘look, the way you're doing it will not allow us to create value.’ We're not a normal software company. If you're not creating value, how are we going to get paid? And by the way, you're gonna want to get rid of us at some point, so the whole thing makes no sense. Like, we're not selling you steak dinner, we're not selling you or our charm. We're selling you significant value creation in, in ridiculously short time.” via Molly O’Shea and sourcery

Eliano A Younes

217,988 次观看 • 8 个月前

Today, we're launching Good Start Labs w/ $3.6M from amazing investors including Inovia Capital & General Catalyst My whole life I've been learning from games Over the past five years, I've dreamt about how AI learn with me. Today we're launching LOL Arena, the first AI benchmark for humor, informed by millions of human votes. We are also launching Diplomacy Arena ranking strategy, betrayal, and prompt impact across models. In the coming years we hope to lead at the intersection of Gen AI & Games and define what it means to do alignment via entertainment. Ensuring everyone can share their voice and help AI become a tool that really is custom built to help bring our dreams to life. If that inspires you, join us! We're hiring. Here's what we're shipping today: 🧵
0:49

Today, we're launching Good Start Labs w/ $3.6M from amazing investors including Inovia Capital & General Catalyst My whole life I've been learning from games Over the past five years, I've dreamt about how AI learn with me. Today we're launching LOL Arena, the first AI benchmark for humor, informed by millions of human votes. We are also launching Diplomacy Arena ranking strategy, betrayal, and prompt impact across models. In the coming years we hope to lead at the intersection of Gen AI & Games and define what it means to do alignment via entertainment. Ensuring everyone can share their voice and help AI become a tool that really is custom built to help bring our dreams to life. If that inspires you, join us! We're hiring. Here's what we're shipping today: 🧵

alex duffy

99,542 次观看 • 9 个月前

We gave AI agents access to real production systems and watched them do things they were never authorized to do. SOC 2 and ISO can't catch it, but TrustAI (YC S26) can. We built new evals so companies can have a continuous, transparent record on key vulnerabilities, get suggested mitigative solutions, and run time/cost efficiency analysis. Built by two Massachusetts Institute of Technology (MIT) engineers, backed by Y Combinator. Considering or running an agent on sensitive systems? Building one that connects to other enterprises' private data? Reach out today at
0:45

We gave AI agents access to real production systems and watched them do things they were never authorized to do. SOC 2 and ISO can't catch it, but TrustAI (YC S26) can. We built new evals so companies can have a continuous, transparent record on key vulnerabilities, get suggested mitigative solutions, and run time/cost efficiency analysis. Built by two Massachusetts Institute of Technology (MIT) engineers, backed by Y Combinator. Considering or running an agent on sensitive systems? Building one that connects to other enterprises' private data? Reach out today at

Hannah Chung

33,852 次观看 • 6 天前