Blogs – Machine Learning

AMP BLAB: The AMPLab Blog

ChatGPT

Making cities safer: data collection for Vision Zero 2017-04-26
A critical part of enabling cities to implement their Vision Zero policies – the goal of the current National Transportation … Continue reading →
Shankari
Data Hackathons Workshop: Early Career Funding Available 2016-09-01
The West Big Data Innovation Hub (WBDIH) is excited to host a Data Hackathons: Lessons Learned and Best Practices Workshop … Continue reading →
Meredith Lee
CACM Article on Randomized Linear Algebra 2016-06-02
Each month the Communications of the ACM publishes an invited “Review Article” paper chosen from across the field of Computer … Continue reading →
Michael Mahoney
Scientific Matrix Factorizations In Spark at Scale 2016-06-02
The canonical example of matrix decompositions, the Principal Components Analysis (PCA), is ubiquitous, with applications in many scientific fields including neuroscience, … Continue reading →
Alex Gittens
Technical Preview of Apache Spark 2.0: Easier, Faster, and Smarter 2016-05-19
This is a guest blog post originally published on the Databricks blog. For the past few months, we have … Continue reading →
Reynold Xin
AMPLab postdoc Julian Shun wins the ACM Doctoral Dissertation Award 2016-05-11
I am very pleased to announce that Julian Shun has been awarded the ACM’s doctoral dissertation award for his 2015 … Continue reading →
Michael Mahoney
Unexpected continuous location tracking/energy change in android? 2016-04-15
So this is really weird, but I have found what seems to be unexpected continuous location tracking that is causing … Continue reading →
Shankari
Strata Keynote: “What’s Next for the Berkeley Data Analytics Stack” 2016-04-01
The Strata+Hadoop World big data industry conference was held in San Jose this week and as usual, AMPLab and Berkeley were … Continue reading →
Michael Franklin
40-Year Goodbye: A Last Lecture and Symposium 2016-03-29
Hoping to start a new tradition, I’m giving a Last Lecture on Friday May 6, 2016 at 4PM, which is … Continue reading →
Patterson
What’s new in KeystoneML 2016-03-29
At the AMPLab, we are constantly looking for ways to improve the performance and user experience of large scale advanced … Continue reading →
sparks

Our First Proof submissions 2026-02-20
We share our AI model’s proof attempts for the First Proof math challenge, testing research-grade reasoning on expert-level problems.
Advancing independent research on AI alignment 2026-02-19
OpenAI commits $7.5M to The Alignment Project to fund independent AI alignment research, strengthening global efforts to address AGI safety and security risks.
Introducing OpenAI for India 2026-02-18
OpenAI for India expands AI access across the country—building local infrastructure, powering enterprises, and advancing workforce skills.
GPT-5.2 derives a new result in theoretical physics 2026-02-13
A new preprint shows GPT-5.2 proposing a new formula for a gluon amplitude, later formally proved and verified by OpenAI and academic collaborators.
Introducing Lockdown Mode and Elevated Risk labels in ChatGPT 2026-02-13
Introducing Lockdown Mode and Elevated Risk labels in ChatGPT to help organizations defend against prompt injection and AI-driven data exfiltration.
Beyond rate limits: scaling access to Codex and Sora 2026-02-13
How OpenAI built a real-time access system combining rate limits, usage tracking, and credits to power continuous access to Sora and Codex.
Scaling social science research 2026-02-13
GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.
Introducing GPT-5.3-Codex-Spark 2026-02-12
Introducing GPT-5.3-Codex-Spark—our first real-time coding model. 15x faster generation, 128k context, now in research preview for ChatGPT Pro users.
Harness engineering: leveraging Codex in an agent-first world 2026-02-11
By Ryan Lopopolo, Member of the Technical Staff
Testing ads in ChatGPT 2026-02-09
OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.
Bringing ChatGPT to GenAI.mil 2026-02-09
OpenAI for Government announces the deployment of a custom ChatGPT on GenAI.mil, bringing secure, safety-forward AI to U.S. defense teams.
Making AI work for everyone, everywhere: our approach to localization 2026-02-06
OpenAI shares its approach to AI localization, showing how globally shared frontier models can be adapted to local languages, laws, and cultures without compromising safety.
GPT-5 lowers the cost of cell-free protein synthesis 2026-02-05
An autonomous lab combining OpenAI’s GPT-5 with Ginkgo Bioworks’ cloud automation cut cell-free protein synthesis costs by 40% through closed-loop experimentation.
Introducing Trusted Access for Cyber 2026-02-05
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards against misuse.
Introducing OpenAI Frontier 2026-02-05
OpenAI Frontier is an enterprise platform for building, deploying, and managing AI agents with shared context, onboarding, permissions, and governance.
Introducing GPT-5.3-Codex 2026-02-05
GPT-5.3-Codex is a Codex-native agent that pairs frontier coding performance with general reasoning to support long-horizon, real-world technical work.
GPT-5.3-Codex System Card 2026-02-05
GPT‑5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT‑5.2-Codex with the reasoning and professional knowledge capabilities of GPT‑5.2.
Navigating health questions with ChatGPT 2026-02-05
A family shares how ChatGPT helped them prepare for critical cancer treatment decisions for their son alongside expert guidance from his doctors.
Unlocking the Codex harness: how we built the App Server 2026-02-04
Learn how to embed the Codex agent using the Codex App Server, a bidirectional JSON-RPC API powering streaming progress, tool use, approvals, and diffs.
VfL Wolfsburg turns ChatGPT into a club-wide capability 2026-02-04
By focusing on people, not pilots, the Bundesliga club is scaling efficiency, creativity, and knowledge—without losing its football identity.

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