GTA 5 typically requires around 120GB of space, however some modders have managed to reduce that figure to a mere 2.5GB. To be fair, you can still do almost everything you used to do, such as drive automobiles around Los Santos, fire firearms, jump off of planes, and so on. It’s just that the controls are a little goofy now, especially while driving, because they tend to lag.

These modders simply had to cut the fat to get the game down to its current size, so they eliminated the majority of the missions, which means the story mode is almost entirely gone. The sound effects have also been removed, which made driving through a silent film feel unsettling, with the exception of the occasional engine rumbling or screeching tires. Massive portions of the terrain have vanished, leaving only a flat grey texture that flickers in and out as you move about. Characters have lost all definition; even the main character resembles a blocky purple outline with stumpy small arms.

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Surprisingly, the cars still handle normally. You can still jump curbs and maneuver through traffic, and the blue sedan appears as it should. The city center loads swiftly, with no wrecks, and helicopters continue to take off and hover. Combat still works; your shots still strike their targets, and explosions still occur when you hit something. The only true disadvantage is that the low frame rates make sharp turns a bit risky, as you never know when the game may jolt the steering wheel out from under you.

The real reason this project got off the ground was due to storage expenses. Just last year, the price of solid-state drives skyrocketed, and data centers snapped up all the supplies they could get, leaving gamers with a difficult decision: do we keep playing GTA V, Call of Duty, Cyberpunk 2077, and all the rest, or do we sacrifice some of our game library to free up space? A full installation of GTA V takes about a tenth of a one-terabyte HDD, therefore this hack is a lifesaver for anyone with little capacity.

The game’s visuals are now pretty low-poly, with trees appearing as nothing more than flat green patches, houses clipping straight through each other, and the skybox extending out beyond the horizon like a continuous sheet of blue. When you gaze around on foot, you notice even more of the game’s peculiarities, such as sidewalk steps that stutter under your feet, people’s arms flailing around in jerky motions, and a character jumping up in the air and just sort of hanging there for a while.

Even that is a relatively mellow experience when compared to what happens when you attempt aerial stunts, as Blaine County shrinks down to a few bare hills, Vinewood shrinks down to a few sparsely populated hills, and the ocean simply laps against the map’s edge as if it is not even present. Flying planes feels better, but landings are still a gamble since you never know when your plane will clip the runway. Golf courses devolve into patchy fields, while tennis courts become a slice of green with no net.
[Source]

The UAE Tour is the finale of the early season stage races held in the Middle East and is the longest, hardest and most prestigious. Three time winner Tadej Pogačar isn’t on the start list but 2023 winner Remco Evenepoel rides and in the Slovenian’s absence will assume the role of favourite.

Read on and we’ll show you how to watch a 2026 UAE Tour live stream from anywhere with a VPN, and potentially for FREE.

2026 UAE Tour event preview

After the Justice Department released a trove of new documents tied to infamous sex offender Jeffrey Epstein, journalists digging through them have found extensive connections to Silicon Valley.

TechCrunch’s Sean O’Kane examined how a mysterious businessman named David Stern built a relationship with Epstein and pitched him investments in multiple electric vehicle startups, including Faraday Future, Lucid Motors, and Canoo.

On the latest episode of the Equity podcast, Kirsten Korosec and I talk to Sean about what he learned, and we discuss whether the Epstein revelations will lead to broader fallout in Silicon Valley.

You can read a preview of our conversation, edited for length and clarity, in the transcript below.

Sean: There are always people at the edges who don’t necessarily want to be front and center in the investment scene. And that was why I started looking through these files, in part because a long time ago, flashback 10 years ago on my beat especially, there was just a ton of Chinese investment in the space. 

This was before even the rush of EV startups in China that we see today […] In autonomous vehicles, but electric vehicles especially, there was this moment where Chinese investors and Chinese companies, state-owned automakers, all they wanted to do was to be looked at like Silicon Valley startups. So they came here and they invested in companies and helped get them off the ground, or in some cases even set up offices in Silicon Valley.

And it was in that environment that a lot of the companies that I’ve covered for a long time popped up. There was just never a full picture of how a lot of them were funded. 

One in particular, this company called Canoo, which is now bankrupt and out of business, had maybe the most mysterious set of investors of all of them. They really were not upfront about it when they first sort of came out of stealth in early 2018. And it frankly took until there was a lawsuit between some people who ran the company near the top that the investors were revealed. 

At the time, it was this businessman in China who was relatively close, the son-in-law of the former sort of like the fourth most senior CCP official under the previous leader of China and a giant electronics magnate from Taiwan. And then there was this really strange guy named David Stern, who was the third founding investor. And there was so little information about this guy.

I could tell, back then, that he was some sort of German businessman, that he had some connections to China, but it wasn’t really clear how he had gotten involved. The only thing I really remember hearing at the time was that he was close with Prince Andrew, which I just thought was very strange, this idea that someone had even told me a long time ago, probably in 2018 or 2019, that Prince Andrew was involved with this company Canoo in some way, maybe not invested, but advising or something.

It was something that stuck in my head for a very long time, clearly, because I went looking for that information as more of these files came out, assuming that proximity to Prince Andrew means proximity to someone like Epstein.

And that was the case here, more so than I could have imagined, because this guy Stern turned from an enigma or a ghost into someone who was present through all this dealmaking 10 years ago, where we see him pitching, in the span of about a year and a half, investments in Faraday Future, trying to convince Epstein to maybe throw a couple hundred million dollars into that company, trying to buy the 30% stake that Faraday Future’s founder had bought or acquired in Lucid Motors arrival at the time, which I feel is an overlooked dynamic [in] how those companies grew around then — and then also in Canoo.

Epstein never invested in any of those companies despite that proximity, but it was just such a revealing thing. And I get into it in the story that I wrote last week, but we get this sweep of a decade of relationship that Stern had with Epstein from approaching him initially in 2008, kind of hat in hand, and introducing himself and saying, “Hey, I want to invest in China. Will you throw in some money?” to being someone who was seemingly very close to him by the end. 

Kirsten: The whole thing is really interesting, and it goes back to my initial comments about how sometimes when you get a chance to look back at with new information at how deals were unfolding, it really just changes your perception and perspective of the time.

And for those who didn’t follow quote-unquote “mobility,” think of it as how we’re thinking about physical AI these days. Everyone was talking about it. Every automaker wanted to have a piece of quote-unquote “the future of transportation” or “mobility.” And so it makes a lot of sense that some of these more secretive types were also jumping in. 

Sean, one of the points you made to me as I was working on the story with you, in terms of editing it, you were [saying], it was very clear that Epstein and David Stern weren’t really about investing and building companies. It was all about how to make the most money the fastest. And that, I think, is really historically important and interesting and gives you a little bit of an insight into — in addition to all the horrible, horrifying, terrible things he did to human beings, [Epstein] was a complete operator as well, in order to make money as quickly as possible. And you see that in these emails and exchanges between David Stern and Epstein.

Sean: Yeah, to both of those points really, I open the story with a moment in time where Lucid Motors […] they had been basically a battery supplier for a long time and then they pivoted into the passenger vehicle startup that we know them as today, but they were really struggling to raise their Series D at the time, and they really needed that money to start production of their first electric sedan. 

They were struggling, behind the scenes in large part because the founder of Arrival quietly amassed this major stake and was kind of pushing people away and making it look like an uninvestable company in some ways, but the hype around all of that at the time was creating opportunities for people like Stern and Epstein, and we see them talk in these emails about, you know, Stern comes to Epstein and basically says, “I heard that they’re raising. Can you get information from Morgan Stanley?”

Epstein turns around and passes that information back, and then you see this discussion about, okay, well, Morgan Stanley says Ford — which was reported at the time — had kind of an investment offer, potential acquisition offer, on the table for Lucid Motors [and] was going to come in in that Series D. And they’re chopping up — do we invest in this and maybe get a big return down the road? Or is it something that we sell as Ford comes in a couple months later, if we can get this stake now at fire sale prices?

Ultimately, they didn’t go through with that, but Stern did eventually invest in Canoo and help get that company off the ground.

Anthony: One thing — maybe pulling back a little bit from the specific industries or investments — that’s also an important piece of context that generally gets mentioned in any of these stories about Epstein in Silicon Valley, but is worth repeating here, is that he [pleaded] guilty to soliciting prostitution from a minor in 2008.

Almost all the emails that we’re talking about with these stories [and] in pretty much any other story about Epstein in Silicon Valley comes after that. So it’s also partly a story about how people get comfortable with the idea that, okay, this guy has a pretty shady past already. He wasn’t the infamous criminal that he eventually [became], but there were things that were already known about him, and because he was a source of connections to power, to famous names, to money, a lot of people were just willing to look past that.

Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private equity firm Blackstone as it scales domestic compute capacity amid India’s push to build homegrown AI capabilities.

Blackstone and co-investors, including Teachers’ Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners, have agreed to invest up to $600 million of primary equity in Neysa, giving Blackstone a majority stake, Blackstone and Neysa told TechCrunch. The Mumbai-headquartered startup also plans to raise an additional $600 million in debt financing as it expands GPU capacity, a sharp increase from the $50 million it had raised previously.

The deal comes as demand for AI computing surges globally, creating supply constraints for specialized chips and data center capacity needed to train and run large models. Newer AI-focused infrastructure providers — often referred to as “neo-clouds” — have emerged to bridge that gap by offering dedicated GPU capacity and faster deployment than traditional hyperscalers, particularly for enterprises and AI labs with specific regulatory, latency, or customisation requirements.

Neysa operates in this emerging segment, positioning itself as a provider of customized, GPU-first infrastructure for enterprises, government agencies, and AI developers in India, where demand for local compute is still at an early but rapidly expanding stage.

“A lot of customers want hand-holding, and a lot of them want round-the-clock support with a 15-minute response and a couple of our resolutions. And so those are the kinds of things that we provide that some of the hyperscalers don’t,” said Neysa co-founder and CEO Sharad Sanghi.

Ganesh Mani, a senior managing director at Blackstone Private Equity, said his firm estimates that India currently has fewer than 60,000 GPUs deployed — and it expects the figure to scale up nearly 30 times to more than two million in the coming years.

That expansion is being driven by a combination of government demand, enterprises in regulated sectors such as financial services and healthcare that need to keep data local, and AI developers building models within India, Mani told TechCrunch. Global AI labs, many of which count India among their largest user bases, are also increasingly looking to deploy computing capacity closer to users to reduce latency and meet data requirements.

The investment also builds on Blackstone’s broader push into data center and AI infrastructure globally. The firm has previously backed large-scale data centre platforms such as QTS and AirTrunk, as well as specialized AI infrastructure providers including CoreWeave in the U.S. and Firmus in Australia.

Neysa develops and operates GPU-based AI infrastructure that enables enterprises, researchers, and public sector clients to train, fine-tune, and deploy AI models locally. The startup currently has about 1,200 GPUs live and plans to sharply scale that capacity, targeting deployments of more than 20,000 GPUs over time as customer demand accelerates.

“We are seeing a demand that we are going to more than triple our capacity next year,” Sanghi said. “Some of the conversations we are having are at a fairly advanced stage; if they go through, then we could see it sooner rather than later. We could see in the next nine months.”

Sanghi told TechCrunch that the bulk of the new capital will be used to deploy large-scale GPU clusters, including compute, networking and storage, while a smaller portion will go toward research and development and building out Neysa’s software platforms for orchestration, observability, and security.

Neysa aims to more than triple its revenue next year as demand for AI workloads accelerates, with ambitions to expand beyond India over time, Sanghi said. Founded in 2023, the startup employs 110 people across offices in Mumbai, Bengaluru, and Chennai.

These days, rather than showing you the traditional list of links when you run a search query, Google is intent on throwing up AI Overviews instead: synthesized summaries of information scraped off the web, with some word-prediction magic added, and packaged together in a way to sound as accurate and reliable as possible.

We’ve written before about some of the problems with these AI Overviews, which regularly contain mistakes or nonsense, and of course rip off the work of the human writers who actually know the answers to the questions you’re putting into Google. There’s another problem though—these AI answers can actually be dangerous.

As with every other new technology through history, scams are now making their way into AI Overviews as well, apparently injecting Google’s AI answers with fraudulent phone numbers that you shouldn’t trust. Here’s what’s happening, and how you can make sure you stay safe.

How AI Overview Scams Work

It’s a good idea not to trust AI for contact details.David Nield

Both The Washington Post and Digital Trends have spotted instances of scam support numbers showing up in Google AI Overviews, reports of which appeared on Facebook and Reddit respectively. Credit unions and banks are also warning their customers about these scams.

It doesn’t seem to be a completely new problem, but the way Google Search works now, it’s been given a new twist.

Here’s what happens: The unfortunate victim Googles a company name looking for a contact number, then calls the number thrown up by AI. This doesn’t actually lead to the company in question, but rather to someone pretending to be that company, who then tries to take payment information or other sensitive details from the caller.

It’s not clear exactly how these fake numbers are being planted, but the best guess is that they’re being published in multiple low-profile places online, alongside the names of major companies. AI Overviews then comes along and scoops them up, without running the proper checks to verify the information.

The planting of misleading phone numbers by bad actors is not a completely new danger of course; misinformation has been a part of the web for a long, long time. But the design of AI Overviews, which picks out information from the web and presents it as fact rather than encouraging you to do the research yourself, is making people much more susceptible to this kind of con.

You’ll want to read our extensive guide on How to Choose the Right Laptop, but for the basics, you’ll want to decide what category of laptop you need. Most people should buy a 13-inch or 14-inch laptop, and spending around $750-$1,000 is a good place to start. You should expect a laptop around this price to get good battery life, have a decent screen, perform well enough for basic tasks, and have a comfortable keyboard and touchpad. You should also expect at least 16 GB of RAM and 512 GB of storage. Anything more than that gets into premium territory where you’re paying for higher specs, more performance, or extra features. If you want something with a discrete GPU for either gaming or creative workflows, you’ll need to spend more than this.

A laptop like the Dell 14 Plus is the ideal example of what you can get while shopping in this price range. You can even find laptops with OLED panels, up to one terabyte of storage, depending on how good the discounts happen to be. I would consider anything under $750 to be a cheap laptop, and it will therefore come with some significant compromises, especially around the quality of the panel and the touchpad. Fortunately, laptops that use the Qualcomm Snapdragon X chip get great battery life, despite often falling under $750 in price.

Here’s a list of important specs to consider:

CPU: For thin and light laptops, I would recommend one of the Snapdragon X, X Plus, or X Elite chips. They get the best battery life and performance for their class of laptop. As an alternative, the Intel Core Ultra 7 258V is also quite good. The next generation is coming soon though, with all eyes on Intel’s Core Ultra Series 3 (also known as Panther Lake, which is rolling out now and is really great) and Qualcomm’s Snapdragon X2 chips.

GPU: As of now, Intel’s Lunar Lake chips, such as the Core Ultra 7 258V, have the best integrated graphics. For discrete options, you’ll want to pick something with one of the latest Nvidia RTX 50-series GPUs, such as the RTX 5060. The biggest leap in performance is between the RTX 5070 and the RTX 5070 Ti, which increases VRAM to 12 GB.

RAM (or memory): Stick with at least 16 GB if you can. Since the advent of the Copilot+ designation, it has become the new standard. You’ll even find laptops as cheap as $600 that have 16 GB of memory. Gamers and content creators should upgrade to 32 GB if possible, though the ongoing memory shortage may make this more expensive in the near future.

Storage: Similar to memory, many laptops have moved to 512 GB as the new standard, and you’ll find lots of affordable laptops with 512 GB as the base configuration. Upgrading to one or two terabytes, where possible, will make your life that much easier, especially since many laptops don’t offer expandable storage.

Display: Laptops are usually categorized by screen size, with 13-inch, 14-inch, and 16-inch being the most common. You’ll want to consider size, resolution, refresh rate, and panel type here.

Portability: Outside of display size, the thickness of the chassis and weight are the primary factors here, determining how portable a laptop is to travel with. Other dimensions are important too, but more often than not, that is determined by the screen size.

Ports: Many laptops are limited to just USB-C and headphone jack these days, with some exceptions where USB-A or HDMI are included. Make sure your laptop has what you need, or else you’ll need a USB Hub or laptop docking station to get more ports or to increase external display support.

Power, rather than compute, is fast becoming the limiting factor in scaling AI data centers. That shift has prompted Peak XV Partners to back C2i Semiconductors, an Indian startup building plug-and-play, system-level power solutions designed to cut energy losses and improve the economics of large-scale AI infrastructure.

C2i (which stands for control conversion and intelligence) has raised $15 million in a Series A round led by Peak XV Partners, with participation from Yali Deeptech and TDK Ventures, bringing the two-year-old startup’s total funding to $19 million.

The investment comes as data-center energy demand accelerates worldwide. Electricity consumption from data centers is projected to nearly triple by 2035, per a December 2025 report from BloombergNEF, while Goldman Sachs Research estimates data-center power demand could surge 175% by 2030 from 2023 levels — the equivalent of adding another top-10 power-consuming country.

Much of that strain comes not from generating electricity but from converting it efficiently inside data centers, where high-voltage power must be stepped down thousands of times before it reaches GPUs. This process currently wastes about 15% to 20% of energy, C2i’s co-founder and CTO Preetam Tadeparthy said in an interview.

“What used to be 400 volts has already moved to 800 volts, and will likely go higher,” Tadeparthy told TechCrunch.

Founded in 2024 by former Texas Instruments power executives Ram Anant, Vikram Gakhar, Preetam Tadeparthy, and Dattatreya Suryanarayana, along with Harsha S. B and Muthusubramanian N. V, C2i is redesigning power delivery as a single, plug-and-play “grid-to-GPU” system spanning the data-center bus to the processor itself.

By treating power conversion, control and packaging as an integrated platform, C2i estimates it can cut end-to-end losses by around 10% — roughly 100 kilowatts saved for every megawatt consumed — with knock-on effects for cooling costs, GPU utilisation and overall data-center economics.

“All that translates directly to total cost of ownership, revenue, and profitability,” Tadeparthy said.

For Peak XV Partners (which split from Sequoia Capital in 2023), the attraction lies in how power costs shape the economics of AI infrastructure at scale. Rajan Anandan, the venture firm’s managing director, told TechCrunch that after the upfront capital investment in servers and facilities, energy costs become the dominant ongoing expense for data centers, making even incremental efficiency gains highly valuable.

“If you can reduce energy costs by, call it, 10 to 30%, that’s like a huge number,” Anandan said. “You’re talking about tens of billions of dollars.”

The claims will be tested quickly. C2i expects its first two silicon designs to return from fabrication between April and June, after which the startup plans to validate performance with data-center operators and hyperscalers that have asked to review the data, according to Tadeparthy.

The Bengaluru-based startup has built a team of about 65 engineers and is setting up customer-facing operations in the U.S. and Taiwan as it prepares for early deployments.

Power delivery is one of the most entrenched parts of the data-center stack, long dominated by large incumbents with deep balance sheets and years-long qualification cycles. While many newer companies focus on improving individual components, redesigning power delivery end-to-end requires coordinating silicon, packaging, and system architecture simultaneously — a capital-intensive approach that few startups attempt and one that can take years to prove in production environments.

Anandan said the real question now is execution, noting that all startups face technology, market, and team risks when betting on how industries evolve. In C2i’s case, he said, the feedback loop should be relatively short. “We’ll know in the next six months,” said Anandan, pointing to upcoming silicon and early customer validation as the moment when the thesis will be tested.

The bet also reflects how India’s semiconductor design ecosystem has matured in recent years.

“The way you should look at semiconductors in India is, this is like 2008 e-commerce,” said Anandan. “It’s just getting started.”

He pointed to the depth of engineering talent — with a growing share of global chip designers based in the country — alongside government-backed design-linked incentives that have lowered the cost and risk of tape-outs, making it increasingly viable for startups to build globally competitive semiconductor products from India rather than operate only as captive design centers.

Whether those conditions translate into a globally competitive product will become clearer over the coming months, as C2i begins validating its system-level power solutions with customers.

Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.

Today’s NYT Connections puzzle has some really unusual categories. Read on for clues and today’s Connections answers.

The Times has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including the number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.

Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time

Hints for today’s Connections groups

Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Good joke!

Green group hint: They all sound like Homer Simpson.

Blue group hint: Bwack-bwack!

Purple group hint: Oh no! What now?

Answers for today’s Connections groups

Yellow group: Knee slapper.

Green group: Homophones.

Blue group: Sounds a chicken makes.

Purple group: Stress responses.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

What are today’s Connections answers?

The yellow words in today’s Connections

The theme is knee slapper. The four answers are hoot, laugh, riot and scream.

The green words in today’s Connections

The theme is homophones. The four answers are do, doe, doh and dough.

The blue words in today’s Connections

The theme is sounds a chicken makes. The four answers are buck, cackle, cluck and squawk.

The purple words in today’s Connections

The theme is stress responses. The four answers are fawn, fight, flight and freeze.