VISARY

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VISARY

VISARY

@Visary_

Thesis-driven fund for the digital, autonomous economy 🇺🇸 Founder: @fjmkhan

เข้าร่วม Ağustos 2017
59 กำลังติดตาม764 ผู้ติดตาม
VISARY รีทวีตแล้ว
Hut 8
Hut 8@Hut8Corp·
In 2025, our power-first, innovation-driven strategy delivered at scale. We signed a 15-year AI infrastructure lease at River Bend valued at $7.0 billion. We commercialized next-generation data center architecture at Vega. We launched a dedicated, publicly traded Bitcoin accumulation subsidiary and divested non-core assets to streamline our capital allocation framework. And we exited the year with an 8,500 MW development pipeline, setting the foundation for scalable, repeatable execution in 2026 and beyond.
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CoinDesk
CoinDesk@CoinDesk·
NEW: Deutsche Börse invests $200M in crypto exchange @Krakenfx.
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Turing
Turing@turingcom·
Most AI benchmarks test coding. Real-world science is far more demanding. We delivered 2,000+ scientific coding tasks with verified answers, built for frontier model training on benchmarks like SciCode. Here’s what that actually means ↓
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Jonathan Siddharth
Jonathan Siddharth@jonsidd·
AI labs need data that only elite professionals can provide. Turing Frontier connects them directly to those experts. This is how better models get built.
Turing@turingcom

Turing just launched Turing Frontier. It’ s an expansion of something we have believed from the start. AI models get better when they are shaped by the people who actually do the work. Not synthetic approximations. Not diluted datasets. Real experts. That is how we helped power the first generation of advanced coding models. And it is why we are now expanding access to elite U.S.-based experts across engineering, science, and enterprise domains. Because frontier AI is not a data problem alone. It's a talent problem. “The job of the expert is moving from doing the work to training models to do it and verifying that they do it well.” - @jonsidd That shift is redefining how models are built. Turing Frontier gives AI labs direct access to that expertise, whether they need hands-on contributors or the people who can generate and evaluate the data that actually improves models. We believe this should be the standard. It’s part of our DNA and has been from the very beginning. Learn more below.

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Turing
Turing@turingcom·
EnterpriseOps-Gym is taking off! 2K downloads in 3 days, trending #6 dataset + #3 paper of the day! Let's keep going!
Sai Rajeswar@RajeswarSai

🔥 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝗢𝗽𝘀-𝗚𝘆𝗺 𝗶𝘀 𝘁𝗮𝗸𝗶𝗻𝗴 𝗼𝗳𝗳 𝗵𝘂𝗴𝗲: 2K downloads in 3 days (trending #6 dataset + #3 paper of the day) 🏆. So we re-ran the leaderboard on the 𝗹𝗮𝘁𝗲𝘀𝘁 𝗳𝗿𝗼𝗻𝘁𝗶𝗲𝗿 𝗰𝗹𝗼𝘀𝗲𝗱 𝗺𝗼𝗱𝗲𝗹𝘀… and the results were promising. ✅ Claude versions show a meaningful jump in reliability on enterprise tasks. ✅ Gemini 3.1 Pro is catching up fast, now much closer to Sonnet 4.6 than earlier releases. And yet, the bigger takeaway is still the same: - Big room for improvement on enterprise-grade agentic tasks. - These workflows punish "seemingly correct." One wrong default, one policy miss, one unintended side effect.. and the task fails. 📢 𝗖𝗮𝗹𝗹𝗼𝘂𝘁 (especially if you’re working on agents): As we prepare our next NeurIPS/COLM submissions, try your agents on EnterpriseOps-Gym and see how they hold up on realistic, policy-constrained, long-horizon tasks. 🌐 Website: enterpriseops-gym.github.io 🤗 Dataset: huggingface.co/datasets/Servi… @ServiceNowRSRCH , @sagardavasam , @turingcom , @turingcomdev , @Mila_Quebec , @shiva_malay @PShravannayak

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Jonathan Siddharth
Jonathan Siddharth@jonsidd·
Excited to share that Turing contributed to Enterprise Ops Gym, @ServiceNowRSRCH's new enterprise agent benchmark submitted to ICML. Enterprise Ops Gym moves beyond short-horizon tool calls and evaluates end-to-end enterprise operations across realistic, multi-system workflows. The paper, website, dataset, and code is below.
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Jonathan Siddharth
Jonathan Siddharth@jonsidd·
Turing is a research accelerator for Superintelligence. We’re helping frontier labs improve model capabilities in coding, RL, and agentic reasoning across economically valuable knowledge work. We’re ramping up our R&D team. DM me if you’d like to join our teams in SF, Palo Alto and Bangalore. You’ll work closely with me and our stellar research team @turingcom.
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CoinDesk
CoinDesk@CoinDesk·
BREAKING: @krakenfx just became the first crypto firm to gain access to the Federal Reserve's core payments system, putting it on the same payment rails as thousands of U.S. banks and credit unions.
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CoinDesk
CoinDesk@CoinDesk·
New: @krakenfx is launching perpetuals trading with tokenized stocks, bringing crypto-style, 24/7 trading to U.S. equities in a regulated manner.
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Axios
Axios@axios·
Exclusive: Onebrief, now valued at $2 billion, acquires Battle Road trib.al/iQ4k2AJ
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Turing
Turing@turingcom·
Case Study: Delivering 1000+ HLE-Grade Math Prompts to Benchmark SOTA Models. Turing built 1000+ research-level math prompts aligned with Humanity’s Last Exam (HLE) rigor to test and break state-of-the-art (SOTA) language models.
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Turing
Turing@turingcom·
Turing Research is launching a groundbreaking initiative to capture and utilize the complete, unfiltered operational history of companies, creating the definitive dataset for training the next generation of frontier models. Project Lazarus is an initiative to acquire and permanently preserve the full, unfiltered operational history of defunct or inactive companies at scale. We focus on private codebases, version histories, internal documentation, post-mortems, experimentation logs, infrastructure tooling, and everyday work artifacts that collectively reflect how real organizations actually operate. These materials capture the reality of knowledge work: incomplete specifications, tradeoffs made under time pressure, accumulated technical debt, evolving systems, and decisions made under uncertainty. Unlike polished outputs, operational traces preserve the causal structure of work across weeks, months, and years. We prioritize industries with high complexity and outsized GDP impact, including financial services, healthcare and pharma, advanced manufacturing, and enterprise software. These domains contain long-horizon decision making, regulatory constraints, supply chain dependencies, and high-value intellectual property that are critical for training economically useful AI systems. The data is structured for advanced methodologies such as reinforcement learning, imitation learning & long-horizon task evaluation, enabling models to learn multi-step reasoning, organizational decision processes, and system diagnosis over extended timelines. For founders, Project Lazarus is also preservation. A company’s history is a compressed record of human judgment, experimentation, and problem-solving. Instead of disappearing, that work compounds by becoming part of the foundation shaping the next generation of autonomous AI systems.
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Turing
Turing@turingcom·
Turing is launching Project Lazarus to tackle a fundamental gap in AI development: models still lack real autonomy because curated and synthetic data cannot teach it. They need the raw record of how teams actually build: -Design arguments -Failed experiments -Internal notes -The rough trail of human judgment under real pressure. Project Lazarus captures and structures these artifacts for RL, imitation learning and long-horizon reasoning research. If we want AI that can operate through real complexity and ambiguity over weeks or months, it must train on how organizations truly work, not just their polished outputs. Learn more below:
Stephanie Palazzolo@steph_palazzolo

Can't go public or sell yourself? Try selling your codebase to an AI lab as training data! In this morning's AI Agenda, we get into this growing trend, as data curation firms like Turing and AfterQuery pick up failed startups' codebases. theinformation.com/articles/turin…

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CoinDesk
CoinDesk@CoinDesk·
🚨 LATEST: Bitcoin miner Hut 8 is partnering with Fluidstack and Anthropic to build large-scale AI data center infrastructure, supported by a Google-backed lease.
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Turing
Turing@turingcom·
"Data needs have significantly changed, early models relied on annotators tagging images, classifying text, or performing simple tasks that could be outsourced at scale. Today's systems, like agentic models and reinforcement-learning architectures, require more complex data." "It's more real-world data, data that touches how real humans do knowledge work." "It's now the era of research accelerators." A new feature in the @BusinessInsider share's Turing's CEO, @jonsidd and his thoughts on data-labeling companies. businessinsider.com/data-labeling-…
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Jonathan Siddharth
Jonathan Siddharth@jonsidd·
Riding the exponential toward Superintelligence. Incredible work @jondotvio
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Arjun Sethi
Arjun Sethi@arjunsethi·
We just announced that @krakenfx has raised $800M, a milestone that reflects years of work, discipline, and conviction. I am proud of what our team has built and grateful for the partners who chose to join us. But this is not a post about a fundraise. I want to share the side of the story people rarely talk about. The truth behind what it actually takes to build an enduring company. The real story lives long before the headlines. It is about conviction when the world questions you, partnership when few are willing to stand with you, and the choices you make when things are hard rather than celebratory. When I think about the last decade, people often ask where my conviction for crypto and financial infrastructure came from. Before @tribecap, I spent years working alongside some of the best quantitative and growth minds in the world. These were the people who built the analytical systems and growth engines behind the largest trillion dollar companies in the world. Learning from them shaped how I think about data, experimentation, compounding outcomes, and decision making at scale. At a certain point, I felt the need to put those frameworks and hypotheses into practice. That decision led to the creation of Tribe Capital. I am fortunate that many of the same people who taught me those frameworks and worked with me in those earlier chapters eventually became my partners. Together, we set out to build a firm grounded in data, truth seeking, and conviction. Starting in June 2018, we built Tribe across multiple asset classes with a data driven mindset, beginning with early stage venture and later expanding into crypto. By 2020, we launched our crypto funds because the evidence pointed to a fundamental shift in how global financial systems would be rebuilt. In 2022, everything changed. Public markets sold off. US markets lost nearly $11T in market value that year. crypto lost more than $1T in market cap. Fear was everywhere. Some of our more conservative LPs who had lost money in FTX urged me to step away from crypto entirely. They told me to wind down, settle positions, and avoid challenging the institutions who were now pointing fingers at the entire space. Many of our LPs were not reacting to data or long term outcomes. They were reacting to reputational fear. They cared more about protecting themselves than protecting the institutions they represented. Venture, at its core, is supposed to be about partnership, long term innovation, and return multiples earned through conviction. Yet in that moment, a meaningful group lost sight of that. They wanted safety, not truth. Optics, not alignment. And they asked us to behave the same way. At the same time, private markets and venture financing were effectively frozen until the release of ChatGPT reignited belief in long term innovation and infrastructure. And during that same period, I was personally debanked by SVB, FRB, and others. Quietly and without explanation. And yet that moment became the period in which we made our strongest decisions. Instead of stepping back, we stepped forward. We deployed more capital in 2022, 2023, and 2024 than in the years before. Looking back, those became some of the best investments we have ever made. As demand temporarily declined, our conviction increased. Prices reset. Our entry positions became exceptional. And we put significant capital behind the founders and companies we believed would define the next decade. Part of that effort led us to help cofound Kapital, a regulated bank serving customers in Mexico, Colombia, and Peru. Kapital has been profitable since day one. Today it is worth more than $1.5B and is on track to exceed $400M in revenue. I am grateful to the team that built it with us and proud of what we have created together. Throughout this period, I continued to spend my time and attention on the companies I believed would grow regardless of the market cycle. This is the part of the story that matters. @jespow, a partner, a friend, and someone I deeply respect, chose to bet on me at the exact moment I was betting more on him. When many people were retreating, Jesse leaned in. When others questioned whether the industry had a future, he committed to building. Trust like that is rare. Alignment like that is even more rare. And that shared conviction is what ultimately led me to join Kraken full time. We stayed focused on the data. We stayed focused on the long run. Since the downturn, Tribe has deployed another $500M into our highest conviction companies. We built deeper alignment with the businesses we believed would matter over the next decade. And one of those companies was Kraken, which became a central part of my journey with Jesse Powell and the conviction we shared about where this industry was heading. When I became Co-CEO of Kraken, that conviction became personal. I doubled down with my time, my capital, and my full attention. If I was going to lead the company, I needed to be fully aligned with its future. That meant investing not only through Tribe Capital but also through our own family office. My parents and my family, including my kids, supported me, and I love them for their support and their capital. Together, we helped shape the first tranche of the new round at a time when Kraken had raised only $27M in primary capital, and we committed more than $100M with belief in what Kraken could become. I am grateful to the partners who joined alongside me in that first tranche, including DRW, HongShan, formerly Sequoia China, Jane Street, Oppenheimer, IMC, Wintermute, and many others. Their willingness to step in at a crucial moment strengthened the foundation for everything that followed. And I am proud to welcome Citadel Securities as our partner in the second tranche, bringing total capital raised to $800M for Kraken. Their conviction reflects the strength of the work we have done and the long term opportunity ahead. Here is what I want people to take away from this journey. Fundraising is never easy. Not when you are early. Not when you have traction. Not when the market is against you. Not even when the market turns in your favor. What matters is whether you lose your values along the way. Many people do. It is the easiest shortcut in the world. We did not. Kraken did not. Tribe Capital did not. We stayed committed to our culture, our mission, and our values. We chose partners who believe in resilience, transparency, and long term thinking. Partners who believe that financial infrastructure should be open, global, and accessible. Many of these partners have supported us through multiple cycles, and I am grateful for them. Now we are focused on what comes next. A unified liquidity and collateral system. A new architecture for financial services. A global platform that brings traditional and open finance together for everyone. This journey has never been about being right in any single moment. It has always been about staying right over the long run. Arjun fortune.com/2025/11/18/kra…
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Turing
Turing@turingcom·
𝐀𝐭 𝐓𝐮𝐫𝐢𝐧𝐠, 𝐓𝐚𝐥𝐞𝐧𝐭 𝐂𝐨𝐦𝐞𝐬 𝐅𝐢𝐫𝐬𝐭. Our success is driven by exceptional people like you and the incredible professionals in your network. And now, we've made referring talent, simpler than ever: Just sign in: bit.ly/48M2xYI Click “Share & Earn” to generate your unique link. Share it with top professionals, in your network, including developers, PhDs, and doctors. Track their progress & earn up to $1,000 when they’re hired! So, tap your network and help us grow the Turing community, one referral at a time.
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Alto
Alto@InvestWithAlto·
Today marks an exciting milestone. @public has acquired our CryptoIRA business, bringing the power of crypto investing within retirement accounts to even more investors. The transition is expected to take place in early 2026. We’re grateful to our customers and remain committed to expanding access to private markets, where we believe alternatives belong in every retirement portfolio.
Public@public

Today, we’re excited to announce that we’ve acquired Alto’s CryptoIRA business—expanding how investors can build long-term wealth on Public.

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