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Tue, 02 Jul 2024 05:15:00 -0400A weekly talk show taking a pragmatic look at the art and business of Software Development and the world of technology.
en-usepisodicA weekly talk showThe Mad BotterA weekly talk show taking a pragmatic look at the art and business of Software Development and the world of technology.
noThe Mad Botter[email protected]577: Holy Order of the Admins
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4b2c9f95-2881-450f-b8a2-a6ca1b22e100Tue, 02 Jul 2024 05:15:00 -0400The Mad BotterfullThe Mad BotterWhy you shouldn't use AI to write your tests, and the crazy deals new AI companies are getting themselves into to access hardware.47:50noWhy you shouldn't use AI to write your tests, and the crazy deals new AI companies are getting themselves into to access hardware.
Coder Radio, Development Podcast, developers, Google, Perforce, Piper, source control, migration, developer, repository operations, Spokane Meetup, No-Li Brewhouse, AI, testing, TDD, regression testing, user stories, events, Meta, TestGen-LLM, open-source, unit test improvement, software development job postings, Indeed, St. Louis Fed, Lary Summers, Aspen Institute, AI, IQ, EQ, Apple Intelligence, Vision Pro, retail demos, OSes, monthly fees, advanced features, Character.AI, research partnerships, Google, Meta, xAI, computing resources, Fountain, ChatGPT, bugs, macOS, Docker, Rosetta, github issue, mitigations, Rust, System76, Jar-jar desktop, Obj-C, Alice AI, terminal, SMTP, oneAPI, SYCL
Why you shouldn't use AI to write your tests, and the crazy deals new AI companies are getting themselves into to access hardware.
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How Google migrated billions of lines of code from Perforce to Piper — As of 2011, the single server had been in operation for the past eleven years of Google history. It had served Google the two-year-old startup, and had now scaled to support Google the public company. In fact, around that time, a lucky Google engineer had just snagged PR #20,000,000. Still chugging along, the server was now executing “11-12 million commands” a day.
We created the first open-source implementation of Meta’s TestGen–LLM — In February, Meta researchers published a paper titled Automated Unit Test Improvement using Large Language Models at Meta, which introduces a tool they called TestGen-LLM. The fully automated approach to increasing test coverage “with guaranteed assurances for improvement over the existing code base” created waves in the software engineering world.
Where the Economy, and the World, Are Headed - YouTube — If you want to know where the economy is headed, ask an economist. If you want to know why (and more), ask a treasury secretary, an economic diplomat, a director of the National Economic Council and the president of Harvard. Larry Summers has been all of those things (and more).
Apple may charge “monthly fees” for advanced Apple Intelligence features — “Though Apple Intelligence will be free to start, the long-term plan is to make money off the capabilities,” said the report. “The company could eventually launch something like Apple Intelligence+ — with extra features that users pay monthly fees for, just like iCloud,” it added.
Apple "will actually be making money from AI," says Bloomberg's Mark Gurman — Longer term, he speculates, the company may be planning a monthly subscription service like "Apple Intelligence+" that offers additional features to monetize the technology. Apple already takes a cut of subscription revenue from any AI partner it brings on board. "The company will be less reliant on hardware tweaks to drive its business and will actually be making money from AI — something everyone in Silicon Valley is hoping to pull off," Gurman says.
character.ai — Personalized AI for every moment of your day
💥 Gets Sats Quick and Easy with Strike — Strike is a lightning-powered app that lets you quickly and cheaply grab sats in over 100 countries. Easily integrates with Fountain.fm. Setup your Strike account, and you have one of the world's best ways to buy sats.
📻 Boost with Fountain.FM — Boost from Fountain.FM's website and keep your current Podcast app. Or kick the tires on the Podcasting 2.0 revolution and try out Fountain.FM the app! 🚀
How Google migrated billions of lines of code from Perforce to Piper — As of 2011, the single server had been in operation for the past eleven years of Google history. It had served Google the two-year-old startup, and had now scaled to support Google the public company. In fact, around that time, a lucky Google engineer had just snagged PR #20,000,000. Still chugging along, the server was now executing “11-12 million commands” a day.
We created the first open-source implementation of Meta’s TestGen–LLM — In February, Meta researchers published a paper titled Automated Unit Test Improvement using Large Language Models at Meta, which introduces a tool they called TestGen-LLM. The fully automated approach to increasing test coverage “with guaranteed assurances for improvement over the existing code base” created waves in the software engineering world.
Where the Economy, and the World, Are Headed - YouTube — If you want to know where the economy is headed, ask an economist. If you want to know why (and more), ask a treasury secretary, an economic diplomat, a director of the National Economic Council and the president of Harvard. Larry Summers has been all of those things (and more).
Apple may charge “monthly fees” for advanced Apple Intelligence features — “Though Apple Intelligence will be free to start, the long-term plan is to make money off the capabilities,” said the report. “The company could eventually launch something like Apple Intelligence+ — with extra features that users pay monthly fees for, just like iCloud,” it added.
Apple "will actually be making money from AI," says Bloomberg's Mark Gurman — Longer term, he speculates, the company may be planning a monthly subscription service like "Apple Intelligence+" that offers additional features to monetize the technology. Apple already takes a cut of subscription revenue from any AI partner it brings on board. "The company will be less reliant on hardware tweaks to drive its business and will actually be making money from AI — something everyone in Silicon Valley is hoping to pull off," Gurman says.
character.ai — Personalized AI for every moment of your day