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Dell XPS 13 Review: Move Over, Neo
WIRED AI 2026-08-14 09:30 UTC Score 50.0 AI-015-20260814-global-ai-ne-8a3da597

Dell XPS 13 Review: Move Over, Neo

It’s amazing how few compromises Dell made to get the new XPS 13 down to $700, but I strongly recommend the $900 model, which comes with 16 GB of RAM.

OpenAI Community 2026-08-14 09:21 UTC Score 40.0 AI-116-20260814-social-media-ff1a6654 Full article

ChatGPT Work Session Sync and Processing Large Numbers of File

Thank you for clarifying! minmin15: The session disappears when I use the web and desktop app sessions at the same time (the session that disappears is the one in the desktop app). It has not reappeared. Though this , looks related to openai/codex#36623 ⁠, which reports differing conversation histories between the macOS desktop app and web/iOS on the same account. Issue #23999 ⁠ also covers sessions disappearing from the desktop history. I couldn’t find an existing report with your exact trigger using the web and desktop app simultaneously, so personally I think it would be useful to submit feedback from the desktop app and file it through the Codex App bug-report form ⁠, referencing those issues.

The Verge AI 2026-08-14 09:21 UTC Score 58.0 AI-016-20260814-global-ai-ne-ae32eded

Apple trained its own AI model for China with help from Alibaba

Apple has reportedly trained a custom AI model for the China market alongside domestic tech giant Alibaba, a rare cross-border partnership that cuts across growing tensions between Beijing and Washington. The China-focused large language model was developed in partnership with Alibaba and trained with the company's support, Reuters reports, citing three unnamed people familiar with […]

China’s richest province taps Alibaba to power its AI and chip push
South China Morning Post AI 2026-08-14 09:15 UTC Score 62.0 AI-156-20260814-regional-ai--b69af5af

China’s richest province taps Alibaba to power its AI and chip push

China’s richest province has deepened its partnership with technology giant Alibaba Group Holding, eyeing a broad digital upgrade spanning artificial intelligence, semiconductors, and smart public services. Under a strategic cooperation framework agreement signed on Thursday in Guangzhou, capital of Guangdong province in southern China, the Hangzhou-based firm planned to increase its investments in computing power, AI models, and digital services, according to a report by local state media...

OpenAI Community 2026-08-14 09:10 UTC Score 40.0 AI-116-20260814-social-media-4eda1020

Three weeks using ChatGPT Plus with no real progress

Three weeks using ChatGPT Plus for a technical 3D-printing project — repeated errors, hallucinated deliverables and why I’m struggling to justify subscribing I wanted to share my experience of using ChatGPT Plus for a fairly substantial technical project, both because I would be interested to know whether other users have experienced the same problems and because I hope OpenAI might take some of this feedback on board. For context, I am currently using ChatGPT Plus through a free trial . I have been using it extensively to develop a project called Project KESTIS , a custom Mandalorian-inspired cosplay project involving armour, equipment, electronics, OpenSCAD/CAD work, STL generation and 3D printing. The project has now been running for approximately three weeks . ChatGPT previously calculated that the identifiable conversation history represented approximately 15 hours and 23 minutes of direct interaction on Project KESTIS alone. That does not include the considerable additional time I have spent outside ChatGPT downloading files, opening them in other software, checking geometry, attempting conversions, using Cura, checking dimensions, diagnosing problems, taking screenshots and then returning to ChatGPT to explain what was wrong. First: I completely accept that AI makes mistakes I want to make this clear because I don’t think “ChatGPT can make mistakes” adequately addresses what I have experienced. Of course it makes mistakes. I don’t expect AI-generated CAD to be perfect…

Investment scam cases in Hong Kong drop 15%, but losses remain high at HK$1.65b
South China Morning Post AI 2026-08-14 09:05 UTC Score 40.0 AI-156-20260814-regional-ai--690ad26a

Investment scam cases in Hong Kong drop 15%, but losses remain high at HK$1.65b

Hong Kong recorded a 15 per cent drop in investment scam cases in the first half of this year, but losses remained high at HK$1.65 billion (US$210 million), with police warning of fraudsters posing as representatives of legitimate overseas firms to swindle investors. Senior Superintendent Fanny Kung Hing-fun said on Friday that some of these firms of purported overseas origins did not exist at all, or had records of fraudulent activity in other countries. “For some of them, even their purported...

Zypp Electric’s revenue growth slows to 5% in FY26; losses narrow 44%
Entrackr AI 2026-08-14 09:02 UTC Score 50.0 USR-0212-20260814-regional-new-395bf5ea

Zypp Electric’s revenue growth slows to 5% in FY26; losses narrow 44%

Zypp Electric fell short of its FY26 revenue target of Rs 600 crore , with the B2B delivery and shared mobility startup posting Rs 461 crore in revenue during the year. The company had earlier indicated that it was targeting Rs 600 crore in revenue for FY26, but ended the year with a modest 5% year-on-year growth. Zypp’s revenue from operations increased modestly to Rs 461 crore in FY26 from Rs 438 crore in FY25, according to its consolidated financial statements sourced from the Registrar of Companies (RoC). Zypp Electric is an EV-as-a-service platform that offers electric vehicle rentals and delivery services through its e-scooter fleet for gig workers. Revenue from delivery services accounted for around 60% of its operating revenue and remained largely flat at Rs 322 crore in FY26. Meanwhile, income from vehicle rentals grew 24% to Rs 138 crore. The company also earned Rs 15 crore from interest income, taking its total income to Rs 476 crore in FY26. With growth remaining modest, Zypp’s rider expenses declined 5.6% to Rs 335 crore in FY26, while employee benefit expenses fell to Rs 64 crore. Rental, battery-swapping and other overhead costs took its total expenditure to Rs 535 crore during the fiscal year. With modest revenue growth and tighter cost controls, the company managed to cut its loss by 44% to Rs 60 crore in FY26 from Rs 107 crore in FY25. Notably, Zypp Electric had accumulated losses of Rs 320 crore as of March 2026. During FY26, its return on capital employed…

SMIC eyes expansion amid AI boom, Zhu Rongji dies, Shein nears IPO
South China Morning Post AI 2026-08-14 09:00 UTC Score 51.0 AI-156-20260814-regional-ai--3a14e4e5

SMIC eyes expansion amid AI boom, Zhu Rongji dies, Shein nears IPO

SMIC, China’s biggest contract chipmaker, is planning to boost capacity after beating earnings expectations amid the artificial intelligence (AI) boom. Demand is “far exceeding our previous expectations”, so the company is adjusting expansion plans and may add more equipment at existing sites, chief executive officer Zhao Haijun said on an earnings call on Friday. He didn’t provide details. The chipmaker’s shares gained 4.8 per cent in Hong Kong trading after it more than tripled second-quarter...

The Real Reason Data Center Gas Power Plants Are So Dirty
WIRED AI 2026-08-14 09:00 UTC Score 49.0 AI-015-20260814-global-ai-ne-33f71015

The Real Reason Data Center Gas Power Plants Are So Dirty

A massive new gas plant in Texas will be built with much less efficient technology than regular gas plants. It’s far from the only data center power project to rely on dirty turbines.

MIT Technology Review AI 2026-08-14 09:00 UTC Score 49.0 AI-013-20260814-global-ai-ne-1cc51220

Cloning could be used to save species—or make human “organ sacks”

This week I spoke to scientists who have found a way to turn male mouse embryos female. They’ve developed a CRISPR-based approach to essentially cut out the Y chromosome. It allowed them to create female clones of male mice. That’s right: female animals that are genetically identical to males, except for the missing Y chromosome.…

MIT Technology Review AI 2026-08-14 09:00 UTC Score 65.0 AI-013-20260814-global-ai-ne-19bcbe11

Job titles of the future: Space travel agent

Roman Chiporukha has long turned wild travel dreams into reality. Over two decades as co-owner of the luxury lifestyle firm Roman & Erica, he has orchestrated everything from the construction of a client’s superyacht to vacations in the Bahamas at a location so private that guests must sign an NDA. The experiences earned him “the…

MIT Technology Review AI 2026-08-14 09:00 UTC Score 57.0 AI-013-20260814-global-ai-ne-809a6cee

This scientist is helping build a missing map of childhood

In 2017, Deanne Taylor attended a presentation at the University of Pennsylvania, just a short walk from her office. A researcher was there to unveil the Human Cell Atlas, an ambitious project that aimed to map every cell in the human body. Taylor was floored, and then concerned. As details emerged, she discovered that the…

InfoWorld AI 2026-08-14 09:00 UTC Score 73.0 USR-0126-20260814-global-ai-ne-cbb0201a

Cloud ops is different in a neocloud

Enterprises are taking a serious look at neoclouds, the specialized cloud providers built primarily around AI infrastructure, especially GPUs, high-speed networking, and large-scale compute clusters for model training and inference. Unlike traditional hyperscalers that provide broad platforms for almost every kind of enterprise workload, neoclouds tend to focus more narrowly on accelerated computing. CoreWeave, Lambda, Crusoe Cloud, and others are all commonly associated with this emerging AI infrastructure market. The interest is not difficult to understand. Enterprises are under pressure to move generative AI , machine learning , and advanced analytics projects out of the lab and into production. At the same time, access to large blocks of GPU capacity has become expensive, constrained, and in some cases difficult to obtain from the major hyperscalers. Many enterprises are finding that neoclouds can offer better economics, faster access to capacity, or configurations more closely aligned with AI workloads. This does not mean AWS, Microsoft Azure, and Google Cloud are being displaced. They remain the default operating environment for most enterprise cloud deployments. They provide mature administrative planes, security tools, compliance frameworks, global footprints, managed services, and operational ecosystems that enterprises have spent years learning how to use. However, AI has changed the infrastructure conversation. Enterprises are worrying less about which cloud they…

The case and model for real-time AI cost visibility at the infrastructure layer
CIO AI 2026-08-14 09:00 UTC Score 60.0 USR-0125-20260814-global-ai-ne-56df3dd9 Full article

The case and model for real-time AI cost visibility at the infrastructure layer

I spend most of my time inside other companies’ engineering teams, building systems to track and optimize AI spend. The conversation almost always starts the same way. Someone pulls up a dashboard, points at a number bigger than it should be, and says some version of “we know it went up; we just can’t tell you why.” I use an analogy for it: AI-era CIOs are like city planners optimizing a busy intersection. They can measure the volume and hear the pleas to fix congestion, but can’t tell whether a vehicle is a truck or a bike, or why it’s on the road. Without that, they can’t design the right fix, so they build a highway at great expense when the data would show all it needed was a bike lane. Every model choice and budget conversation happens against that blurry picture, and the traffic gets heavier every quarter. Gartner expects worldwide AI spending to grow 47% this year , with agentic AI software up roughly 141%. By 2028 , it projects an average Fortune 500 enterprise will run over 150,000 agents, up from fewer than 15 in 2025. Why the cloud playbook can’t answer the AI question AI presents a fundamentally different problem than cloud cost management, where we answered, “whose spend is this?” largely by tagging the resource. A VM has an owner, a bucket belongs to a team and FinOps optimizes from there. Billing was slow but acceptable, because spend moved inside predictable bands, a human provisioned each resource before it cost anything, and governance capped how fast costs…

Medianama AI 2026-08-14 08:57 UTC Score 40.0 USR-0211-20260814-regional-new-f9c3a8ad

Meta blocks 756,000 Australian underage accounts, pushes for OS-level age checks

Meta has removed 462,000 suspect under-16 Instagram accounts & 294,000 Facebook accounts in Australia to comply with the social media minimum age law while batting for play store level age checks. The post Meta blocks 756,000 Australian underage accounts, pushes for OS-level age checks appeared first on MEDIANAMA .