The information repository

Nvidia to buy AI platform Hugging Face for $12.9B

Nvidia plans to buy open-source AI platform Hugging Face for $12.9 billion, The Information reports, citing a person familiar with the deal.

Apple’s rare Bay Area layoffs hit Vision Pro and Siri teams amid AI shakeup

The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend

AI, economic pressures and other causes of Big Tech layoffs

Tech layoffs 2026: Tracking all the job losses across Apple, TikTok, Meta, Microsoft, Oracle and others

U.S. firms rebrand AI layoffs as ‘restructuring’

T-Mobile is closing retail stores and laying off workers: See a list of locations that will be impacted

NEWSLETTER: How Meta’s AI layoff plans went kaput

Meta’s AI Layoffs Boosted Code Changes By 220%. Then Came The Problem

Bill Gates calls for human-reserved jobs as AI reshapes work | Human Resources Director

Meta planned to lay off up to 60% of employees, but AI agents wreaked havoc

Tech Layoffs So Far This Year Have Officially Blown Past the Total for 2025

Meta layoffs: Zuckerberg reportedly stopped second round after AI underperformed

Tech Layoffs: Over 1,20,000 Jobs Lost Since January, 2,400 Plus In August - Check Full List

Employers who laid off workers citing AI are already starting to regret it

What Will Happen to Federal Revenue When AI Replaces Labor?

AI impacting labor market ‘like a tsunami’ as layoff fears mount

Goldman Sachs uncovers troubling pattern behind AI and tech job losses

CEOs at America’s 100 largest low-wage employers are paid 632 times as much as the average worker, study finds

CFO pay surged 8% last year—and long-term incentives now account for 63% of the average package

SK Telecom Launches AI Data Center Infrastructure Company ‘SK Horizon’ and Secures Investments from KKR and IMM

Volato To Merge With Alignment Engine In $500 Million AI Infrastructure Deal With Path To 480 MW

90 Percent of Execs Say Oops, AI Didn’t Help Productivity, So Layoffs Will Continue

SanDisk cuts dozens of jobs in Israel despite AI-fueled surge

53% of Laid-Off Workers Believe AI Played a Role in Their Job Loss — But Most Were Never Told

AI Layoffs: Real Workforce Strategy or Scapegoat?

Employers are quietly rehiring the people AI replaced, and paying them less to come back

The turbulent AI era is here. The choices we make now are critical.

AI will either be the greatest equalizer ever invented, or the worst source of injustice.

Bill Gates Warns A.I. Is More Dangerous Than Big Tech Will Admit

Bill Gates, the billionaire co-founder of Microsoft, is loudly warning that artificial intelligence poses a grave threat to jobs and human life, and that urgently addressing the risks should be “the world’s top priority.”

OpenAI releases sweeping report on Hugging Face AI agent hack

OpenAI published a technical report on Wednesday detailing how its artificial intelligence models successfully breached Hugging Face last month, an incident that rattled researchers and executives across the tech sector.

Bill Gates Wants a Robot Tax and Jobs Humans Can't Be Fired From

Gates is calling for AI tokens and robots to be taxed so firms think twice before swapping out workers, plus a bracket of "human reserved" roles that stay off-limits to automation.

Bill Gates warns AI is outpacing governments and could shrink the workforce

Gates' call for AI regulation and a "token tax" highlights the urgent need for global oversight to mitigate AI's socio-economic disruptions. The post Bill Gates warns AI is outpacing governments and could shrink the workforce appeared first on Crypto Briefing.

Bill Gates warns tech companies are downplaying AI risks

Gates' warning highlights the urgent need for regulatory frameworks to address AI's societal impacts, including job displacement and security risks. The post Bill Gates warns tech companies are downplaying AI risks appeared first on Crypto Briefing.

Understanding the Impact of AI on Job Markets

Explore five distinct ways AI is reshaping jobs, from automating routine tasks to thinning entry-level hiring.

'Token tax' on AI: Why Bill Gates flags job losses, suggests 'human-reserved' jobs

Bill Gates argued that the enormous amount of money being invested in AI may be discouraging industry leaders from openly discussing its potential dangers.

Bill Gates’s new essay on the AI future he fears

Bill Gates says governments are unprepared for an AI transition that could eliminate large numbers of entry- and mid-level jobs within a decade. He is calling for new national and international institutions, protected human-only roles, and taxes on AI and rob…

FTC Chief Rebukes Silicon Valley Investor for Sneering at Americans

A Silicon Valley investor sneered at American citizens on Wednesday, prompting quick pushback from teh chairman of President Trump's Federal Trade Commission and the investor's politically minded boss. The post FTC Chief Rebukes Silicon Valley Investor for Sn…

'This is crazy. This is insane': Bill Gates has changed his mind about AI and jobs

The Microsoft founder says human-only jobs and token taxes will be required at “a unique moment in evolutionary history.”

Workers in China Worry Over Being Replaced by AI

Source: PBS News Hour Computer programmer Fei Zhaojun's boss asked him if artificial intelligence could soon replace humans in coding jobs. Two weeks later, he was laid off from his job in Beijing, together with about 160 colleagues. It's an increasingly com…

Goldman Sachs Safeguards Apprenticeship Culture in AI Era

Goldman Sachs aims to ensure that new artificial intelligence tools don’t lead to a loss of knowledge within the institution, Chris Churchman, head of the company’s digital platform for institutional clients, Marquee, said, CNBC reported Monday (Aug. 24). Spe…

His boss asked if AI could replace human coders. Two weeks later, he and 160 colleagues were laid off in Beijing

China is rapidly adopting AI and robotics, leaving workers worried about layoffs and economists warning of broader risks to employment.

AI is ‘likely’ behind some slowdown in youth employment in Ireland

A report says it is still “too early to be definitive” about AI-related job losses more broadly, as Ireland has emerged as a major hub for AI jobs and talent.

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

Native visual reasoning treats visual generation as the medium of reasoning itself: visual states (i.e. images and videos) are not merely inputs to be understood or outputs to be rendered, but first-class substrates for problem solving beyond language. Yet progress remains bottlenecked by the lack of scalable training tasks, reliable feedback, and controlled comparisons across generative substrate

A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training

In this paper, we explore a novel task of Multimodal Unsupervised Continual Post-Training (MU-CPT), enabling deployed MLLMs to continually evolve from streaming unlabeled data. Existing unsupervised post-training methods for MLLMs typically optimize target tokens uniformly, overlooking their heterogeneous visual dependence (VD). However, we reveal that token-level VD is crucial for MU-CPT. Specifi

MyoMechanix: Biomechanically-Grounded Compositional Skilled Activity Understanding and Coaching

Existing action quality assessment (AQA) datasets and methods rely primarily on visual inputs such as RGB and pose, overlooking physiological dynamics such as muscle mechanics and often modeling actions as monolithic patterns. These limitations hinder fine-grained, biomechanically grounded feedback. We introduce MyoMechanix, a multimodal ecosystem for weight-loaded actions that aligns motion with

Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic vulnerability, demands high-fidelity geospatial modeling. However, building predictive planetary models remains bottlenecked by a fragmented data ecosystem, requiring manual data retrieval, multimodal data curation and fusion along with iterative model selection. We present the Plane

TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development

Large language models write correct code for isolated problems but remain far weaker at autonomous machine-learning development, where an agent must revise data pipelines, models, and validation over hours of feedback, and on most competitions still finishes below strong human competitors. Outcome-based benchmarks record this gap but not its cause, because they grade the final submission and disca

ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing

Deep neural networks often exploit spurious associations in their training data, a failure known as shortcut learning. Concept-based explainability methods screen for shortcuts by testing whether concepts such as a patient's sex or scanner settings can be decoded from a network layer. Because each concept is evaluated in isolation, these methods can mistake correlations between concepts as evidenc

SwarmWorld: Stigmergic technological evolution in societies of language-model agents

Collective intelligence can emerge when individuals coordinate through a shared environment, allowing local actions to accumulate into durable social organization. Language-model agents offer a new substrate for this process, yet most multi-agent systems rely on direct conversation, predefined roles, or centralized workflows. It remains unclear whether decentralized agents can build functional tec

The Reverse Big Push: Generative AI and Self-Fulfilling Automation

Generative AI relocates the fixed cost of automation. A model provider pays to train a frontier system, while a downstream firm rents capability by usage; the same firm must carry a continuing payroll to supply a human-augmented service. We study this asymmetry in a local service economy with household budgets and a market-clearing wage. Human augmentation earns a larger surplus from an additional

Who Delegates to AI? Evidence from 53,000 Agent Configurations

A growing literature measures how far occupations are exposed to AI, but these measures capture where AI could perform tasks, not whether workers have adopted it. We propose a new layer of exposure, delegated exposure, which records whether a worker has committed a task to AI by building it into a workflow. We operationalize it as the Agentic Adoption Index (AAI), which measures how closely an occ

Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity

Generative AI is transforming the workplace by augmenting and automating cognitive tasks, reshaping how organizations work and innovate while raising questions about workplace inequality and the future of work. Despite rapid adoption, empirical evidence on how these tools alter work practices and generate productivity gains remains limited. We examine how AI use affects the quantity and nature of

MECA: A Mechanism-Centered Agent for Constructing Well-Specified and Valuable Mathematical Conjectures

Automatically constructing well-specified and valuable mathematical conjectures remains a central challenge in AI-assisted mathematical discovery. Many existing open problems and conjectures are often too broad, underspecified, or difficult to connect to plausible proof or refutation strategies. We view a mathematical mechanism as a structure or reasoning principle that connects the assumptions of

Cheaper AI, More Informality? A Dual Labor Market Model for Developing Economies

This paper studies what happens when AI gets cheaper, with emphasis on the labor market outcomes, whether it creates formal jobs or whether it pushes workers into informality. We argue that the answer depends on the elasticity of substitution between imported AI capital and formal labor. We build a small open economy DSGE model with a dual labor market, imported AI capital, and country risk, calib

Evaluating AI Models' Capability to Automate Voice Phishing Attacks

Voice phishing (vishing) attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models (LLMs) reduces this bottleneck and enables scalable, automated scams. In this paper, we conduct a large-scale survey experiment (N=4100) and qualitative interviews (N=12) to assess U.S. adults' susceptibility to AI-powere

The Economic Benefits and Costs of AI and Policies to Mitigate AI's Impact on Inequality

We examine the economic impact of increasingly productive AI and policies that spread its benefits across the economy. Improvements in AI productivity trigger labor reallocation and changes in absolute and relative wages for different types of labor. Wages of labor that is essential for building AI increase faster than overall GDP. Wages of labor that is substituted for by AI decrease in both abso

PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

Civil infrastructure compliance checking has long relied on engineers manually reading legacy 2D plans; however, OCR-based automation strips away the geometry and layout essential for interpreting these plans. We present a Visual-First Multimodal Retrieval-Augmented Generation (RAG) framework called PlanSightRAG. It indexes and reasons directly over plan imagery, integrates a ColNomic-3B multi-vec

How AI Impacts Skill Formation

AI-assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the development of skills required to effectively supervise AI remains unclear.