July 2016 Blog Posts (3)

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Going Pro in Data Science

When you're learning data science, you usually practice with nice, clean, pre-packaged data sets and tidy case studies that lead you step-by-step from data collection to cool insights.

But when real life hits, many data scientists have to work with missing or sketchy information extracted from (multiple) sources in the organization. Data science that works is a messy, trial-and-error process of creating and testing hypotheses, gathering evidence, and drawing conclusions.

Going Pro in… Continue

Added by Michael Levin on July 31, 2016 at 2:17pm — No Comments

Call for proposals: The O'Reilly Design Conference

O'Reilly has just opened the call for proposals for their second Design Conference, coming to San Francisco March 19–22, 2017. Got something to share with the design community? Think it over and submit your idea by September 7, 2016.
http://www.oreilly.com/pub/cpc/24650

Added by Michael Levin on July 28, 2016 at 7:55pm — No Comments

Enter for a chance to win!

O'Reilly technology conferences help you change your business—and change the world—by bringing you face-to-face with the knowledge of innovators and practitioners. Discover the right conference for you below and enter to win a Platinum pass!

"The O'Reilly conferences are the gold standard for drawing together a critical mass of thought leaders." —Steve Gillmor, CRN

Link: http://www.oreilly.com/pub/cpc/24305

Added by Michael Levin on July 26, 2016 at 12:39pm — No Comments

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Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

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InfoQ Reading List

Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice

The speakers discuss Agent RFT, OpenAI’s platform for fine-tuning reasoning models via real-time tool interactions and custom reward signals. They explain how reinforcement learning solves complex credit assignment challenges within the context window. They share enterprise success stories, showing how Agent RFT eliminates long-tail token loops and drives extreme efficiency.

By Wenjie Zi, Will Hang

Google Releases A2UI v0.9: Portable, Framework-Agnostic Generative UI

Google has released A2UI v0.9, a framework-agnostic standard for AI agents to declare user interface intent across multiple platforms without arbitrary code. The update emphasizes alignment with existing design systems. It includes a new SDK for Python, improved error handling, and various transport methods. Migration guidance and evolution specifications are also provided.

By Daniel Curtis

SwiftUI Adds New Document Protocol, Improves Performance, and More

Announced at WWDC 2026, the latest SwiftUI release brings a new Document protocol for efficient disk access and snapshot-based updates, along with improved APIs for reordering items in lists, grids, and sections. In addition, it expands presentation features, such as swipe actions on any view, better AsyncImage caching, and lazy state initialization for Observable types to boost performance.

By Sergio De Simone

Shifting Platform Development from Projects to Products

A company shifted from project- to product-thinking after their platform outgrew single-team use. The limitations that they felt with their platform were one-off deliveries, lack of product vision, and weak feedback loops. They have moved toward a self-service, API-driven, multi-tenant infrastructure with clearer ownership and better abstractions.

By Ben Linders

Apple Extends Private Cloud Compute to Google Cloud for the First Time

Apple chose Google Cloud to run Private Cloud Compute outside its own data centers for the first time, using NVIDIA Blackwell GPUs, Intel TDX, and Google's Titan chip. Apple maintains an independent append-only hardware ledger and dual-vendor attestation roots. AWS and Azure are not part of the collaboration.

By Steef-Jan Wiggers

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