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Vanguard Russell 3000 ETF

337.59

-0.2300-0.07%

Post-market: 337.590.00000.00%19:39 EDT

Volume:94.73K

Turnover:31.93M

Market Cap:4.86B

PE:- -

High:338.04

Open:336.01

Low:335.84

Close:337.82

52wk High:344.56

52wk Low:278.45

Shares:14.40M

Float Shares:14.40M

Volume Ratio:3.25

T/O Rate:0.66%

Dividend:3.47

Dividend Rate:1.03%

ROE:--

ROA:--

PB:--

PE(LYR):- -

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Overview Company News Filings

Analyst Maintains Buy on McGraw Hill, Citing AI-Driven Strategy and Credit Upgrades for Attractive Risk-Reward

AI Cycle Set to Offset Energy Hit for Asia Economies

The Hidden Framework of AI Emerges: Morgan Stanley Sees a $10 Billion Growth Opportunity in CCL and Copper Foil

Hong Kong Stock Market Flash | China Ruyi (00136) Surges Over 4% Following AI Strategy Unveil and Proprietary Product Launch, Building Computing Infrastructure for Business Model Reinvention

Hong Kong Stock Market Flash: LIGENT Surges Nearly 6% on Second Trading Day, AI Drives Rapid Growth in Optical Communications Sector

DeepBlue Robotics Bankruptcy: The Downfall of a $1.4 Billion AI Unicorn

How AI is forcing the Big Four to rethink graduate training

I’m an AI investor: here’s why I just deleted Claude

Pimco Sees Little Indication AI Debt Issuance Directly Crowds Out US Treasuries

Shares of DMALL Jump Over 18% Intraday as Retail Digital Intelligence Expands to AI Consumer Gateways

BlackRock stays overweight U.S. stocks as AI lifts earnings

Southwest Securities: AI Empowers the Entire Drug Development Pipeline, Promising Prospects for Drug Validation Ahead

Prime Focus to Cede Control of Key AI Subsidiaries Amid $100 Million Multiples Investment

Prime Focus Backs $100 Million Multiples-Led Investment in Brahma AI Units, Cedes Control but Retains Majority Economic Stake

Prime Focus to Cede Control of AI Subsidiaries as Multiples Leads $100 Million Investment

Prime Focus-backed Brahma AI Secures $150 Million at $2 Billion Valuation

Brahma AI Secures $150 Million to Build Enterprise Audiovisual Operating System

SoftBank Initiates Massive $11 Billion High-Yield Bond Sale to Fuel AI Ventures

Grayscale's GCPU (GCPU.US) Rebrand: Mining Firm Transforms into an AI Compute Fund

When AI Starts Teaching Itself: Is Opus 5.5 the First Large Model Trained Through Recursive Self-Improvement?

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As one of the largest graduate trainers in the UK, their approach to restructuring graduate programmes in the age of AI will be crucial to the future of financial and professional services, Maria Ward-Brennan writes.Every year, the talent teams at the Big Four accountancy firms sift through thousands of applications from young graduates desperately hoping to be among the select few they recruit. As the launch pad for some of the City’s most notable and successful careers, KPMG, Deloitte, EY, and PwC have over decades established themselves as a primary gateway for ambitious young people to forge their careers in the Square Mile.All the companies train thousands of graduates every year, fully aware that many will leave after completing their training. 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I don’t object to the technology  but I believe that tone and intention matter as much as speed and ability. I’ll explain my decision shortly but first, let’s recap on what an insane few weeks it’s been in the world of AI.A few weeks ago, NYU math professor Tristan Buckmaster and Anthropic researcher Levent Alpge announced that, working with a mix of AI models, they were very close to solving the Navier-Stokes equation, a major problem involving how fluids flow, and one of the great unsolved problems in mathematics. Within days, OpenAI announced it had independently achieved a solution after spending over $20m on compute. It turns out, however, that this solution is extremely similar, if not identical, to Buckmaster’s. 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