A rapid expansion of AI skills is underway — as tens of millions of workers race to meet demand from employers.
Why it matters: With millions of jobs at risk — and potentially more to be created — as a result of AI, the ability to acquire new AI-related skills is set to affect individual careers and the economic trajectory of whole nations.
More than half of the 3,000 executives surveyed by IBM estimate that 40% of their workforce will need to be reskilled as their businesses implement AI and automation in the next three years. — Read More
Monthly Archives: August 2023
Google: Supercharging Search with generative AI
For the past 25 years, we’ve been devoted to the science and the craft of building a search engine. We’ve developed completely new ways to search, powered by our latest advancements in AI — whether that’s searching visually with Lens, or across modalities, using both images and text with multisearch. In fact, people now use Lens for 12 billion visual searches a month — a four-fold increase in just two years, and a growing number of those searches are multimodal.
With new breakthroughs in generative AI, we’re again reimagining what a search engine can do. With this powerful new technology, we can unlock entirely new types of questions you never thought Search could answer, and transform the way information is organized, to help you sort through and make sense of what’s out there.
Today we’re sharing a look at our first steps in this new era of Search, and you’ll be able to first try these generative AI capabilities in Search Labs, a new way to access early experiments in Search. — Read More
AI is going to eliminate way more jobs than anyone realizes
Atidal wave is about to crash into the global economy.
The rise of artificial intelligence has captured our imagination for decades, in whimsical movies and sober academic texts. Despite this speculation, the emergence of public, easy-to-use AI tools over the past year has been a jolt, like the future arrived years ahead of schedule. Now this long-expected, all-too-sudden technological revolution is ready to upend the economy.
A March Goldman Sachs report found over 300 million jobs around the world could be disrupted by AI, and the global consulting firm McKinsey estimated at least 12 million Americans would change to another field of work by 2030. A “gale of creative destruction,” as economist Joseph Schumpeter once described it, will blow away countless firms and breathe life into new industries. It won’t be all bleak: Over the coming decades, nongenerative and generative AI are estimated to add between $17 trillion and $26 trillion to the global economy. And crucially, many of the jobs that will be lost will be replaced by new ones. — Read More
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Language models (LMs) are pretrained on diverse data sources, including news, discussion forums, books, and online encyclopedias. A significant portion of this data includes opinions and perspectives which, on one hand, celebrate democracy and diversity of ideas, and on the other hand are inherently socially biased. Our work develops new methods to (1) measure political biases in LMs trained on such corpora, along social and economic axes, and (2) measure the fairness of downstream NLP models trained on top of politically biased LMs. We focus on hate speech and misinformation detection, aiming to empirically quantify the effects of political (social, economic) biases in pretraining data on the fairness of high-stakes social-oriented tasks. Our findings reveal that pretrained LMs do have political leanings that reinforce the polarization present in pretraining corpora, propagating social biases into hate speech predictions and misinformation detectors. We discuss the implications of our findings for NLP research and propose future directions to mitigate unfairness. — Read More
Doctor GPT
DoctorGPT is a Large Language Model that can pass the US Medical Licensing Exam. This is an open-source project with a mission to provide everyone their own private doctor. DoctorGPT is a version of Meta’s Llama2 7 billion parameter Large Language Model that was fine-tuned on a Medical Dialogue Dataset, then further improved using Reinforcement Learning & Constitutional AI. Since the model is only 3 Gigabytes in size, it fits on any local device, so there is no need to pay an API to use it. It’s free, made for offline usage which preserves patient confidentiality, and it’s available on iOS, Android, and Web. Pull requests for feature additions and improvements are encouraged. — Read More
Original Father of AI on Dangers! (Prof. Jürgen Schmidhuber)
AudioSep — Separate Anything You Describe
Language-queried audio source separation (LASS) is a new paradigm for computational auditory scene analysis (CASA). LASS aims to separate a target sound from an audio mixture given a natural language query, which provides a natural and scalable interface for digital audio applications. Recent works on LASS, despite attaining promising separation performance on specific sources (e.g., musical instruments, limited classes of audio events), are unable to separate audio concepts in the open domain. In this work, we introduce AudioSep, a foundation model for open-domain audio source separation with natural language queries. We train AudioSep on large-scale multimodal datasets and extensively evaluate its capabilities on numerous tasks including audio event separation, musical instrument separation, and speech enhancement. AudioSep demonstrates strong separation performance and impressive zero-shot generalization ability using audio captions or text labels as queries, substantially outperforming previous audio-queried and language-queried sound separation models. For reproducibility of this work, we will release the source code, evaluation benchmark and pre-trained model at: this https URL. — Read More
#audioMachine unlearning: The critical art of teaching AI to forget
Have you ever tried to intentionally forget something you had already learned? You can imagine how difficult it would be.
As it turns out, it’s also difficult for machine learning (ML) models to forget information. So what happens when these algorithms are trained on outdated, incorrect or private data?
Retraining the model from scratch every time an issue arises with the original dataset is hugely impractical. This has led to the requirement of a new field in AI called machine unlearning. — Read More
Better 3D Meshes, from Reconstruction to Generative AI
Next-generation AI pipelines have shown incredible success in generating high-fidelity 3D models, ranging from reconstructions that produce a scene matching given images to generative AI pipelines that produce assets for interactive experiences.
These generated 3D models are often extracted as standard triangle meshes. Mesh representations offer many benefits, including support in existing software packages, advanced hardware acceleration, and supporting physics simulation. However, not all meshes are equal, and these benefits are only realized on a high-quality mesh.
Recent NVIDIA research discovered a new approach called FlexiCubes for generating high-quality meshes in 3D pipelines, improving quality across a range of applications. — Read More
The Case Against AI Everything, Everywhere, All at Once
I cringe at being called “Mother of the Cloud,” but having been part of the development and implementation of the internet and networking industry—as an entrepreneur, CTO of Cisco, and on the boards of Disney and FedEx—I am fortunate to have had a 360-degree view of the technologies that are at the foundation of our modern world.
I have never had such mixed feelings about technological innovation. In stark contrast to the early days of internet development, when many stakeholders had a say, discussions about AI and our future are being shaped by leaders who seem to be striving for absolute ideological power. The result is “Authoritarian Intelligence.” The hubris and determination of tech leaders to control society is threatening our individual, societal, and business autonomy. — Read More
Rick's Cafe AI 