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Lenskart’s profit zooms 3.7X to Rs 228 Cr in Q1 FY27
Entrackr AI 2026-08-12 11:09 UTC Score 33.0 USR-0212-20260812-regional-new-4b0c0ee8

Lenskart’s profit zooms 3.7X to Rs 228 Cr in Q1 FY27

Eyewear brand Lenskart announced its financial results for Q1 FY27 today, reporting a 43% year-on-year growth in consolidated operating revenue during the quarter, led by strong growth in its international markets, while its profit jumped 3.7 times to Rs 228 crore. The company’s revenue from operations increased to Rs 2,714 crore in Q1 FY27 from Rs 1,894 crore in the same quarter last year, according to its financial statements sourced from NSE. Revenue from India continued to contribute significantly to the company’s growth. The international business grew 64% year-on-year to Rs 1,203 crore, while revenue from the India business increased 31% to Rs 1,531 crore in Q1 FY27. On a quarterly basis, the firm’s revenue from operations grew 8% from Rs 2,517 crore in Q1 FY26. On the expense side, the cost of materials remained the largest expense head, accounting for over 32% of the total expenditure. The expense rose 34% year-on-year to Rs 807 crore in Q1 FY27. Employee benefit expenses also increased 28% to Rs 599 crore from Rs 466 crore in Q1 FY26. Finance costs and depreciation were other major expense heads, pushing the company’s total expenses up 35% to Rs 2,484 crore during the quarter. The strong 43% growth in revenue, which outpaced the 35% increase in total expenses, helped Lenskart’s profit surge 3.7 times to Rs 228 crore in Q1 FY27, compared with Rs 61 crore in the year-ago quarter. Last month, Temasek-backed MacRitchie Investments sold a 2.05% stake in the omnichannel e…

Pakistani Judges Give Their Verdict on JudgeGPT
IEEE Spectrum AI 2026-08-12 11:00 UTC Score 65.0 AI-019-20260812-global-ai-ne-16894a82 Full article

Pakistani Judges Give Their Verdict on JudgeGPT

Judges around the world have made headlines for illicitly using generative AI in their work. But in Pakistan, a large-scale trial of a specially designed AI tool for judges found the technology—together with appropriate training–boosted the number of cases resolved by 6.3 percent with no obvious drop in the quality of judgments. With a backlog of 2.26 million cases and fewer than two judges per 100,000 people—compared to 22 in the EU and eight in Brazil—Pakistan’s judiciary was in sore need of help. So, in consultation with the judiciary, economist Sultan Mehmood , of the New Economic School in Moscow, and collaborators tested whether AI could ease the burden. They built a custom tool combining OpenAI’s GPT-4 large language model (LLM) with a knowledge base of nearly 130,000 Pakistani judicial opinions and statutes, to help judges with legal research and drafting judgments. They began offering the tool in 2024 to 1,559 trial judges—roughly half the country’s justices. “We do find an increase in cases resolved, and we don’t find any corresponding decrease in decision quality,” Mehmood says. First of its kind “It’s pretty amazing that he’s able to pull this off,” says David Autor, an economics professor at MIT. “It’s not easy to do large-scale field experiments in civil service, but especially where the stakes are so high.” The 6.3 percent productivity boost is not overwhelming, he says, but it’s credible and likely to improve as the tool is more widely used. AI tools for judg…

CIO AI 2026-08-12 11:00 UTC Score 45.0 USR-0125-20260812-global-ai-ne-d968c518 Full article

Don’t let AI negotiate with reality

We are all transforming now. Some companies have formally named transformation programs. Others are being transformed by a new regulation, an AI mandate, a cyber event, a weather disruption, a change in customer behavior, a competitor’s move or an urgent demand to reduce costs. The label is almost beside the point. The operating assumptions keep changing, and the company has to change with them. Accenture’s Change Reinvented research found that 95% of organizations had undergone at least two transformations in three years, while only 30% of C-suite leaders expressed confidence in their organizations’ change capabilities. More recently, a McKinsey Global Survey of more than 1,200 executives and managers found that 40% expect their current business models to require significant change within three years simply to remain economically viable. Transformation is no longer an event that temporarily interrupts normal operations. It is becoming normal operations. That changes the role AI is beginning to play. We are not using it only to draft emails, summarize documents or write code. We are increasingly asking it to interpret complex situations, identify options, recommend priorities and influence consequential business decisions. I believe that can be enormously valuable. I also believe it requires a boundary we have not defined clearly enough. AI should help us understand reality. It should not be allowed to negotiate with it. The impossible request I have sat in versions of this…

Deutsche becomes first non-Chinese bank to settle yuan
Semafor Technology 2026-08-12 10:45 UTC Score 49.0 USR-0094-20260812-global-ai-ne-58d96181 Full article

Deutsche becomes first non-Chinese bank to settle yuan

The German bank is authorized to settle transactions in the Chinese currency in Europe, a major step in Beijing’s ambitions to dislodge the supremacy of the US dollar.

Kyiv stops strikes on Russian port after request from JD Vance
Semafor Technology 2026-08-12 10:41 UTC Score 52.0 USR-0094-20260812-global-ai-ne-afb61af9 Full article

Kyiv stops strikes on Russian port after request from JD Vance

Ukraine’s repeated strikes on tankers in Novorossiysk had alarmed Washington, which feared they would further destabilize already strained oil markets, the Financial Times reported.

Houthis kill 6 in attack on Red Sea cargo ship
Semafor Technology 2026-08-12 10:39 UTC Score 52.0 USR-0094-20260812-global-ai-ne-07a985eb Full article

Houthis kill 6 in attack on Red Sea cargo ship

The attack on a ship travelling through the Bab el-Mandeb strait is the first deadly strike by the Iran-backed militant group on the key waterway in a year.

Analytics Vidhya 2026-08-12 10:31 UTC Score 44.0 AI-034-20260812-ai-specialis-f50539d3 Full article

Why You Shouldn’t Always Trust LLMs as Judges: Understanding Bias in Automated Evaluation

In the rush to automate evaluation, from grading student code to ranking research papers, we have embraced Large Language Models as judges. They are fast. These units are cheap. They scale. However, at a workshop at DHS 2026, Bhaskarjit Sarmah made a point that stuck with me: “you can’t trust LLM as a judge. I […] The post Why You Shouldn’t Always Trust LLMs as Judges: Understanding Bias in Automated Evaluation appeared first on Analytics Vidhya .

How to watch today’s spectacular solar eclipse
New Scientist AI 2026-08-12 10:27 UTC Score 49.0 AI-027-20260812-global-ai-ne-865bdd70 Full article

How to watch today’s spectacular solar eclipse

A total solar eclipse is set to be visible across parts of Europe today, while a partial eclipse will sweep across about a quarter of the planet – here’s how to see it

엔비디아, 에이전트 비용 74% 낮추는 라우터 '네모 스위치야드' 공개
Korea AI Times 2026-08-12 10:26 UTC Score 40.0 USR-0048-20260812-global-ai-ne-945cb781 Full article

엔비디아, 에이전트 비용 74% 낮추는 라우터 '네모 스위치야드' 공개

엔비디아가 오픈소스 라우팅 기술을 공개했다. 복잡한 추론에는 고성능 프런티어 모델을, 반복적이고 대량으로 처리해야 하는 작업에는 저비용 모델을 투입하는 방식으로 AI 에이전트의 비용과 처리 효율을 동시에 개선하겠다는 전략이다.엔비디아는 11일(현지시간) 오픈소스 모델 라우팅 라이브러리인 \'네모 스위치야드(NeMo Switchyard)\'를 공개했다.스위치야드는 AI 에이전트의 각 작업 단계에서 요청 내용뿐 아니라 모델의 상태, 작업 진행 상황, 비용과 지연시간, 토큰 사용량 등을 종합적으로 분석해 여러 모델 가운데 가장 적합한 모델로

Euronews AI 2026-08-12 10:24 UTC Score 37.0 AI-164-20260812-regional-ai--510b7f0e Full article

Europe's scorching summer could cost EU economies €180 billion

Extreme heat could cost EU economies around €180 billion this year, roughly 1% of GDP and almost exactly the growth the bloc had been expecting for 2026, with France facing the heaviest blow of the big member states.

오픈AI, 클로드·커서 작업 환경 흡수…'에이전트 통합 플랫폼' 승부수
Korea AI Times 2026-08-12 10:21 UTC Score 40.0 USR-0048-20260812-global-ai-ne-b7c3dc04 Full article

오픈AI, 클로드·커서 작업 환경 흡수…'에이전트 통합 플랫폼' 승부수

오픈AI가 \'챗GPT\'를 중심으로 경쟁 AI 에이전트와의 경계를 허무는 작업 환경 통합에 나섰다. 사용자들이 여러 AI 에이전트를 오가며 작업하는 흐름이 확대되는 가운데, 기존 작업 환경을 그대로 옮겨와 연속성을 확보할 수 있도록 지원하는 것이 핵심이다. 오픈AI는 11일(현지시간) 경쟁사의 AI 에이전트에서 사용하던 프로젝트와 설정, 대화 기록 등을 자사 플랫폼으로 한 번에 가져와 계속 작업할 수 있는 ‘가져오기(Import)’ 기능을 선보였다.특정 AI 에이전트에 작업 환경이 종속되는 문제를 줄이고, 여러 AI 모델과 에이전트를

Microsoft's new MAI Code 1.1 Flash gets crushed by Deepseek on both price and performance
The Decoder 2026-08-12 10:18 UTC Score 64.0 AI-168-20260812-regional-ai--cfb28e3c Full article

Microsoft's new MAI Code 1.1 Flash gets crushed by Deepseek on both price and performance

Microsoft has released MAI Code 1.1 Flash, a code model for GitHub Copilot that's said to be 25 percent more token-efficient at a quarter of the cost of its predecessor. In benchmarks, though, it gets crushed by the cheaper Deepseek V4 Flash. The move fits a pattern: Microsoft talks up open AI, then bakes worse proprietary models into its apps to protect margins. The article Microsoft's new MAI Code 1.1 Flash gets crushed by Deepseek on both price and performance appeared first on The Decoder .

xAI 창립자 이고르 바부슈킨, 리버 AI 설립...'맞춤형 오픈소스 AI' 도전
Korea AI Times 2026-08-12 10:16 UTC Score 40.0 USR-0048-20260812-global-ai-ne-2c5db1af Full article

xAI 창립자 이고르 바부슈킨, 리버 AI 설립...'맞춤형 오픈소스 AI' 도전

xAI의 공동 창립자 이고르 바부슈킨이 퇴사 후 ‘맞춤형 AI’ 시대를 겨냥한 스타트업 리버 AI(River AI)를 설립했다.로이터 등에 따르면, 바부슈킨 CEO는 11일(현지시간) 리버 AI가 설립 두 달 만에 11억달러(약 1조5000억원) 규모의 시드 및 시리즈 A 투자를 유치했다고 발표했다. 이번 투자 라운드는 제너럴 캐털리스트와 AMP PBC가 주도했으며, 엔비디아와 AMD 벤처스가 전략적 투자자로 참여했다. 와이콤비네이터와 싱가포르 국부펀드 테마섹도 투자에 합류했다. 기업 가치는 공개하지 않았다.리버 AI의 핵심 목표는

인기 오픈 동영상 모델 ‘LTX-2.5’ 공개...엔비디아 칩서 10초 영상 6.8초 만에 생성
Korea AI Times 2026-08-12 10:10 UTC Score 40.0 USR-0048-20260812-global-ai-ne-bf861483 Full article

인기 오픈 동영상 모델 ‘LTX-2.5’ 공개...엔비디아 칩서 10초 영상 6.8초 만에 생성

가장 인기 있는 오픈소스 비디오 생성 모델 LTX 시리즈의 최신 버전 \'LTX-2.5\'가 공개됐다. 비디오 생성의 속도와 품질을 크게 끌어올린 것은 물론, 소비자용 GPU와 맥(Mac)에서도 구동할 수 있도록 경량화해 로컬 활용을 확대할 것으로 기대된다.라이트릭스(Lightricks)에서 분사한 LTX는 11일(현지시간) 오픈웨이트 기반의 LTX-2.5를 공개했다.LTX 계열은 허깅페이스 등을 통해 누적 3300만건 이상의 다운로드를 기록했다. 직전 버전인 LTX-2.3도 1800만건 이상의 다운로드로 오픈 비디오 생성 분야에서 가

AI was supposed to destroy jobs. Where’s the carnage?
The Guardian AI 2026-08-12 10:00 UTC Score 46.0 AI-021-20260812-global-ai-ne-256be039 Full article

AI was supposed to destroy jobs. Where’s the carnage?

The AI jobs apocalypse never showed up. Still, jobs are changing and economists expect more to come The prediction was stark: artificial intelligence advancements would wipe out jobs en masse. “Half” of all entry-level white collar jobs would vanish, Anthropic’s CEO, Dario Amodei, said in May 2025. A month later, OpenAI’s CEO, Sam Altman , went further, foreseeing the end of “certain job categories”. Companies began citing AI in their layoffs. Workers organized. And students reconsidered their future careers . But a year later, the mass carnage hasn’t shown up. Continue reading...

If the markets reject OpenAI and Anthropic, the US should nationalize them | Bruce Schneier and Nathan E Sanders
The Guardian AI 2026-08-12 10:00 UTC Score 49.0 AI-021-20260812-global-ai-ne-52aa30d7 Full article

If the markets reject OpenAI and Anthropic, the US should nationalize them | Bruce Schneier and Nathan E Sanders

From space to telecommunications, the US has a long history of fostering technology for the public good. These AI models could be aligned to democratic values, not corporate profits OpenAI, and then Anthropic, were each formed by AI developers who feared unrestrained corporate AI development – specifically, that companies like Google and Meta would steer the technology towards deleterious, maybe even catastrophically unsafe, outcomes for society. Their founders proclaimed that their new labs, uniquely, could be trusted to develop the technology in humanity’s best interest. But each, in turn, were themselves co-opted by the same market incentives, themselves becoming corporate behemoths zealously guarding future investor value rather than the public interest. It was only a few weeks ago, in June, when OpenAI and Anthropic each filed for their IPOs and were met with buzz about trillion-dollar valuations. The hype around their valuations is so extreme that many worry about their potential for concentrating wealth on a global scale. In an effort to leave something for the rest of us, some observers have proposed that the federal government seize a share of these companies’ stock to create a US sovereign wealth fund , or redistribute their revenues to produce a dividend for taxpayers. Continue reading...

Euronews AI 2026-08-12 10:00 UTC Score 40.0 AI-164-20260812-regional-ai--05b9fe4e Full article

Latest news bulletin | August 12th, 2026 – Midday

Catch up with the most important stories from around Europe and beyond this August 12th, 2026 - latest news, breaking news, World, Business, Entertainment, Politics, Culture, Travel.

CIO AI 2026-08-12 10:00 UTC Score 49.0 USR-0125-20260812-global-ai-ne-409127ba Full article

Where IT leaders find strength and opportunity in the age of AI

With vision comes perspective, and over a distinguished career, IT and digital transformation leader Niraj Bhatt has held may titles, and earned three consecutive CIO 100 awards since 2023. As a storied advisor for startups and Fortune 500 companies, helping them navigate the unpredictability and fluidity of AI, Bhatt knows how emerging tech is rapidly reshaping the way organizations build products and deliver value, and how challenges shift as companies move from experimentation to real-world deployment. AI, of course means a lot of different things to different people, and also for frictionless startups and large enterprises. For the former, speed is a huge asset, allowing them to punch above their weight. But it also means they need lightning fast reactions when landscapes shift. “The same speed can also hurt them when larger AI companies release new offerings that disrupt what startups are building,” he says, referencing recent moves by Anthropic and Google. On the enterprise side, the conversation is more about scale and risk. Many large organizations have moved past the POC stage and now wrestle with the realities of putting AI into production. Cost for both is naturally a recurring theme as organizations scale up AI efforts, and true expenses become clear only after the initial excitement fades. “Every input and output token, and the model you’re selecting, add up,” he says. Some customers like Open AI, he adds, get throttled because their usage, volumes, and costs ar…

CIO AI 2026-08-12 10:00 UTC Score 47.0 USR-0125-20260812-global-ai-ne-a45997c4 Full article

4 RPA lessons that still hold true in the AI boom

Enterprises of all sizes in all industries are rapidly deploying generative and agentic AI to automate processes. But the efforts aren’t always panning out. Some reasons are new and unique to this technology. But others are related to issues we should’ve been prepared for because we saw them during the age of RPA. And in the rush to adopt new tech, some of these lessons are being forgotten. “ This new era of agents puts the same challenges again in front of us , and we need to think about the things we faced back when that revolution happened years ago,” says Agustin Huerta, SVP of digital innovation and VP of technology at Globant, a digital transformation company. Those challenges often include selecting the right processes for automation, setting up systems to manage those processes, making sure automated processes get the right inputs, and managing the wider impacts of automation, including cultural. 1. Automating the right processes All the lessons of RPA are carrying over, says Stephanie Bova, digital transformation officer at Novo Nordisk, including the biggest one that just because you can automate something, does it mean you should. “We think hard before we start creating something,” she says. “Who’s going to maintain it, and where is it documented?” And of course, is the process itself a good process. “Nothing gets built on a process that hasn’t been optimized anymore,” she adds. “We haven’t done a technology deployment on an unoptimized process for two years.” And…