While AI is expected to be top of the bill at the unveiling of iOS 18 at WWDC on June 10, it seems Apple could be keeping things a little more basic than some of the other AI announcements made recently.
Mark Gurman’s Power On newsletter suggested Apple’s approach to AI will focus on “being practical,” reports @theverge, with features like voice memo transcriptions, auto-generated emojis, and AI-enhanced photo edits and Spotlight searches. The biggest announcement? A rumoured partnership with OpenAI, which will allow ChatGPT to “integrate more deeply” into the Apple operating system. Here’s more.
Neu ist diese Info nicht und doch wird es weiträumig KI bei Programmierung eingesetzt. Deswegen aber auch Zeit für die Korrektur vom Code verschwendet.
»Qualitätsmängel – Forscher warnen vor ChatGPT-Einsatz beim Programmieren:
Viele Programmierer:innen greifen bei der Softwareentwicklung zu KI-Chatbots wie ChatGPT. Das sollten sie aber eher bleiben lassen, wie jetzt eine Studie nahelegt.«
Modern #AI text generators create randomized output with no prior planning. They resist to be quality-checked by tools and processes established in the software industry.
Given this, the results are amazing. However, companies are selling the idea that these assistants will do quality checking themselves soon™.
This is mass delusion. But hey, the perks for managers/investors are worthwhile 🤷.
Related - if anyone is looking for a web dev with agency experience working on modern headless + serverless stacks, toot in my general direction. #chatgpt#ai#webdev
Hello Mastodon, I know that a lot of you discuss the high environmental cost (such as energy use and water use) of AI and I hope that some of you could reply with authoritative publications/links regarding this problem! I want to try to convince an environmental science colleague #climatechange#AI#chatgpt#energy#technology#machinelearning#llm
This is a fundamental mistake that people make when trying to assess whether LLMs are an appropriate tool to use in optimizing a process, function, or service:
"LLMs are not search engines looking up facts; they are pattern-spotting engines that guess the next best option in a sequence."
This terrific article is a great explainer on how they work and their limitations.
#ChatGPT ha suggerito di usare della #colla per mantenere la mozzarella sulla #pizza. Ora provo a chiedergli come risolvere un problema di stitichezza.
“Most people are not aware of the resource usage underlying ChatGPT,” Ren said. “If you’re not aware of the resource usage, then there’s no way that we can help conserve the resources.”
In July 2022, the month before OpenAI says it completed its training of GPT-4, Microsoft pumped in about 11.5 million gallons of water to its cluster of Iowa data centers, according to the West Des Moines Water Works. That amounted to about 6% of all the water used in the district, which also supplies drinking water to the city’s residents.