Freddie Vargus

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Freddie Vargus

Freddie Vargus

@freddiev4

@databricks — past: @quotientai @githubcopilot, @cohere_labs, @quantopian — agents, evals, data. Tico 🇨🇷 & Bostonian 🇺🇸

Boston Katılım Haziran 2012
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Freddie Vargus
Freddie Vargus@freddiev4·
Here we go! very excited to work with all of the great people at Databricks and make the best agents for data work in the industry I’ve been extremely impressed with everyone we’ve met, and there’s been amazing work shipped just in the last week (KARL, OfficeQA Pro, Genie Code…).
Julia Neagu@julianeagu

Quotient is joining @databricks! @freddiev4 and myself started @QuotientAI in 2023 with a dream and a hunch that the next era of AI will be unlocked by systems that can measure, evaluate, and improve AI in the real world. Over the past couple of years, we partnered with companies ranging from AI-first startups to Fortune 500 enterprises. They used Quotient to monitor AI systems in production, ensure their agents met strict enterprise policies, and reinforcement fine-tune agents to consistently achieve double-digit performance gains. We built it all at the bleeding edge, with a small team that started in Boston, Massachusetts. Joining Databricks gives us the scale and resources to take this much, much further. Very grateful to our team, investors, customers, and everyone who supported us along the way. We couldn’t be more excited for what’s next. Onwards!

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Mert
Mert@ThatNerdMert·
I have a backlog of things I want to print but look how awesome this Switch 2 Pokopia dock is 🤩
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Jackie Contreras
Jackie Contreras@jackiedigital·
Soccer stats nerds, do two yellow cards count as two or three (2 yellows, 1 red) cards??
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ESPN
ESPN@espn·
A great beginning to the Boston Legacy 🦢 The game's attendance of 30,207 sets a new record for the largest inaugural home opener crowd in NWSL history 👏
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Boston Legacy FC
Boston Legacy FC@NWSLBoston·
Day One's XI 🫡
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Shivalika Singh
Shivalika Singh@singhshiviii·
@freddiev4 Huge congrats Freddie! This is so exciting! So happy for you! ❤️
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Freddie Vargus
Freddie Vargus@freddiev4·
Here we go! very excited to work with all of the great people at Databricks and make the best agents for data work in the industry I’ve been extremely impressed with everyone we’ve met, and there’s been amazing work shipped just in the last week (KARL, OfficeQA Pro, Genie Code…).
Julia Neagu@julianeagu

Quotient is joining @databricks! @freddiev4 and myself started @QuotientAI in 2023 with a dream and a hunch that the next era of AI will be unlocked by systems that can measure, evaluate, and improve AI in the real world. Over the past couple of years, we partnered with companies ranging from AI-first startups to Fortune 500 enterprises. They used Quotient to monitor AI systems in production, ensure their agents met strict enterprise policies, and reinforcement fine-tune agents to consistently achieve double-digit performance gains. We built it all at the bleeding edge, with a small team that started in Boston, Massachusetts. Joining Databricks gives us the scale and resources to take this much, much further. Very grateful to our team, investors, customers, and everyone who supported us along the way. We couldn’t be more excited for what’s next. Onwards!

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max
max@maxbittker·
RuneBench is out: measuring long horizon goal optimization across 14 AI coding models inside Runescape
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Julia Neagu
Julia Neagu@julianeagu·
thanks @alighodsi for the s/o on @technology this morning! "We also acquired @QuotientAI — the folks behind GitHub Copilot's quality measurement. They focus on monitoring how [agents] are doing. When we launch these [agents] and they're running, how can we oversee to make sure that nothing is going wrong, or — if it's going off track — we can stop it restart it. That's equally important — maybe even more important than the first part."
Databricks@databricks

Databricks CEO and co-founder @alighodsi joined @technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation

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Databricks
Databricks@databricks·
Databricks CEO and co-founder @alighodsi joined @technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation
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Thariq
Thariq@trq212·
@jackfriks slay the spire 2 vs poketopia tbh
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Databricks
Databricks@databricks·
The next generation of AI agents won't just write software, but operate the data systems that modern businesses depend on. Genie Code is built for exactly that: an autonomous agent that understands your data, maintains pipelines, diagnoses failures, and keeps things running. Databricks co-founder and CEO @alighodsi on what makes it different: "It's not about just generating random code snippets, but understanding the entire structure of the data problem and working through the modeling workflow the same way a data scientist or engineer would." @iamVictorDey covers the full story for @FastCompany: fastcompany.com/91505774/exclu…
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Databricks
Databricks@databricks·
Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. This isn't a smarter autocomplete. It's a different kind of AI partner entirely. Unlike general coding agents that stop once the code is built, Genie Code plans, executes, and iterates across the full data and AI lifecycle inside Databricks. It's purpose-built for data engineering, data science, and BI: • More than doubles the success rate of leading coding agents on real-world data science tasks • Proactively monitors your pipelines and AI models in the background, triaging failures and fixing issues before a human intervenes • Works with your data wherever it lives, across Databricks and external platforms, with full governance and MCP support This is what the future of data work looks like. databricks.com/blog/introduci…
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Julia Neagu
Julia Neagu@julianeagu·
Quotient is joining @databricks! @freddiev4 and myself started @QuotientAI in 2023 with a dream and a hunch that the next era of AI will be unlocked by systems that can measure, evaluate, and improve AI in the real world. Over the past couple of years, we partnered with companies ranging from AI-first startups to Fortune 500 enterprises. They used Quotient to monitor AI systems in production, ensure their agents met strict enterprise policies, and reinforcement fine-tune agents to consistently achieve double-digit performance gains. We built it all at the bleeding edge, with a small team that started in Boston, Massachusetts. Joining Databricks gives us the scale and resources to take this much, much further. Very grateful to our team, investors, customers, and everyone who supported us along the way. We couldn’t be more excited for what’s next. Onwards!
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Freddie Vargus
Freddie Vargus@freddiev4·
check out Genie Code 👀
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Databricks
Databricks@databricks·
Databricks is acquiring Quotient AI to strengthen the agent evaluation and reinforcement learning capabilities in Genie, Genie Code, and Agent Bricks so customers get more reliable AI agents in production. Databricks already provides powerful tools for evaluating and improving AI agents. With Quotient, we're strengthening these capabilities across our platform with a continuous evaluation and improvement layer that monitors agent behavior in production, catches issues like hallucinations and broken reasoning before users do, and uses those signals to continuously improve performance over time. We're excited to welcome the Quotient AI team to Databricks as we continue building the most reliable platform for developing, deploying, and improving agentic systems at scale! databricks.com/blog/databrick…
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