Techin' Geek

Earlier this year, the streaming and entertainment industry witnessed one of its most high-stakes megadeals ever, stunning industry observers. Not only is it historic in its size, but it is also predicted to disrupt Hollywood and the media business as we know it. 

After years of Warner Bros. Discovery (WBD) struggling under the weight of billions of dollars in debt, compounded by declining cable viewership and fierce competition from streaming platforms, the company has been considering major strategic changes, including selling its entertainment assets to one of its rivals.

Several major players saw the potential in acquiring the media giant, and in December, Netflix announced it would acquire WBD’s studios and streaming for $82.7 billion.

But in a surprise eleventh-hour move in late February, the David Ellison-run Paramount became the winner of this bidding war, offering $111 billion to acquire all of WBD’s assets, including its studios, HBO, streaming platforms, games, and TV networks such as CNN and HGTV. Paramount was recently acquired by Ellison with significant support from his father, Larry Ellison — the Oracle chairman, world’s sixth-richest person, and major Trump donor.

Paramount’s offer was approved by the U.S. Department of Justice (DOJ) in June. A federal judge then paused the deal after a lawsuit was filed on July 13 by a coalition of 12 state attorneys general. However, a judge approved it in late September, with the acquisition finally official as of October 6.

Let’s break down exactly what happened and what could come next. 

What has happened so far?

​This all started back in October 2025 when Warner Bros. Discovery revealed it was exploring a potential sale after receiving unsolicited interest from several major players in the industry.

​The bidding process quickly became competitive, and Paramount and Comcast emerged as serious contenders, with Paramount initially viewed as the frontrunner. 

However, WBD’s board eventually determined that an offer from the streaming giant Netflix was the most attractive. Netflix offered $82.7 billion for just Warner’s film, television, and streaming assets.

Thus began the bidding war. Paramount believed its bid of approximately $108 billion for all of Warner’s assets was superior to Netflix’s offer that focused on just the studios and streaming. To sweeten its deal, Netflix amended its agreement in January to an all-cash offer at $27.75 per share of Warner Bros. Discovery, further reassuring investors and paving the way for the deal to proceed.

​Paramount persisted in its attempts to acquire WBD. Still, the Warner board repeatedly rejected its offers, citing concerns about Paramount’s heavy debt load and the increased risk associated with its proposal, including concern over the suite of investors bankrolling Paramount’s bid, which includes Saudi, Qatari, and Abu Dhabi sovereign wealth funds. The board noted that Paramount’s offer would have left the combined company burdened with $87 billion in debt, a risk they were unwilling to take at the time.

In January, Paramount filed a lawsuit seeking more information about the Netflix deal. A month later, the company sought to sweeten its deal by announcing it would offer a $0.25 per share “ticking fee” to WBD shareholders for each quarter the deal fails to close by December 31, 2026. It also said it would pay the $2.8 billion breakup fee if Warner backs out of its deal with Netflix.

Then, in a final attempt to secure a deal, Paramount increased its offer to $31 per share in February. This prompted the WBD board to prolong discussions with Paramount regarding a potential agreement, considering it as a superior offer. Netflix declined to increase its bid and withdrew from the negotiations.

“The transaction we negotiated would have created shareholder value with a clear path to regulatory approval,” Netflix co-CEOs Ted Sarandos and Greg Peters said in a statement on February 26. “However, we’ve always been disciplined, and at the price required to match Paramount Skydance’s latest offer, the deal is no longer financially attractive, so we are declining to match the Paramount Skydance bid.”

In addition to the billions Paramount already holds in debt, the company is also set to assume the approximately $33 billion in debt Warner Bros. Discovery holds under the agreement. The deal will be backed by a $54 billion debt commitment from Bank of America, Merrill Lynch, Citi, and Apollo Global Management, as well as $45.7 billion in equity from Larry Ellison.

Regulatory hurdles and other concerns

In addition to the assumption of substantial debt posing a significant financial burden, Paramount faced several other hurdles in its deal with WBD. 

For one, Ellison has warned about significant job reductions that are expected in the near future. There have already been widespread concerns among critics about potential job losses and lower wages.

Ellison is also a controversial figure in the industry, and his ownership of CBS News has been seen as sympathetic and supportive of the administration of Donald Trump, of whom his father, Larry Ellison, is a major donor. Under Ellison’s ownership of Paramount, reporting critical of the administration has been shelved or received increased scrutiny from Ellison or his appointed head of CBS News, the conservative provocateur Bari Weiss.

This has led to some concern among employees at Warner-owned CNN. Trump has personally sought concessions from news divisions critical of him, including a $16 million settlement from CBS, before his FCC would approve the Ellison takeover of Paramount. Before Netflix bowed out of the deal, Trump pressured the company to fire the former Biden White House official Susan Rice from its board. He has publicly stated his intentions to bring CNN to heel under new owners.

Regulatory scrutiny was another hurdle. Such a large-scale merger attracted attention from lawmakers.

For instance, California attorney general Rob Bonta said in a statement on February 26 that “these two Hollywood titans have not cleared regulatory scrutiny — the California Department of Justice has an open investigation, and we intend to be vigorous in our review.”

A day before Netflix backed out, a coalition of 11 state attorneys general urged the U.S. Department of Justice to review the merger under concerns it will stifle competition and increase subscription prices. This comes months after U.S. senators Elizabeth Warren, Bernie Sanders, and Richard Blumenthal voiced their concerns to the Justice Department’s Antitrust Division, warning that such a massive merger could have serious consequences for consumers and the industry at large. The senators argue that the merger could give the new media giant excessive market power, enabling it to raise prices for consumers and stifle competition.

Despite the DOJ approving the deal in June, a coalition of 12 state attorneys general filed a lawsuit on July 13 to block the merger. The suit argues it would lessen competition and harm movie theaters, cable distributors, and viewers. The coalition is led by Bonta, with Arizona, Colorado, Connecticut, Massachusetts, Minnesota, Nevada, New Jersey, New Mexico, New York, Oregon, and Washington also joining. 

In response, U.S. District Judge Araceli Martínez-Olguín issued a 14-day pause.

What now?

As of October 6, Paramount and Warner Bros. has officially been renamed Skydance, and the new combined corporation will have annual revenue of almost $70 billion.

In terms of its streaming services— Paramount+, HBO Max, and Discovery+,— those are all set to be combined eventually.

For a writer, the mechanical keyboard is a beautiful thing. They’re certainly not necessary for everyone, but a well designed mechanical keyboard can turn a tedious day of typing into an aesthetically pleasing experience.

Given that most of my days involve sitting at a desk for hours, having a keyboard that I enjoy using is a necessity. I first got a mechanical keyboard about two years ago — the Keychron K2 — and I’ve never looked back.

Keychron is one of the most prominent brands within the mechanical keyboard industry, having made a name for itself after initially launching via Kickstarter back in 2017. The company has since produced dozens of different keyboards (as well as keypads), and a variety of mouse models.

Unlike other electronics, there isn’t a whole lot to owning a mechanical keyboard. The simplicity is part of the appeal. You unbox them, set them up (the K2 comes with little tilt legs that give you a slightly better angle from which to type), and plug them in.

From here, you have a couple of different options. The K2 comes with a simple USB cable, but there’s also an option for Bluetooth connection. If you value a clean, minimalist workspace, Bluetooth is probably the way to go.

While I am loyal to my older Keychron K2, there are a few upgraded and newer versions to consider. Keychron has released a variety of new models over the past two years, with a broad range of features and price tags.

In many cases, the form factor is the draw. One of the more interesting releases, called the Keychron K8 HE Wireless Magnetic Switch Custom Keyboard, comes with an all-wood body and is equipped with an LED backlight. That one is substantially more expensive at around $200. The K2, meanwhile, costs $60. But if you’re into the look, maybe it’s worth it.

If you’re a gamer, there’s also Keychron’s C0 HE One-Handed 8K Keyboard, which is a keypad built for convenience and speed and has an industrial aesthetic to it. However, interested gamers will have to wait — as it’s currently sold out.

The company has also updated its K, Q, and V series keyboards, with many of those ranging in price from $100 to $200 depending on the features and model.

One of the appealing elements of owning a mechanical keyboards is the versatility. You can swap out the key caps for a wide variety of others (indeed, there’s a whole sub-market devoted to this) or make your own custom caps (I’ve never gone that overboard).

There is also the sound, of course. Some people balk at the accentuated noise of loudly clacking keys, but I’m a fan. In fact, the sound is one of the key selling points for a lot of consumers. The distinct auditory experience produced by said keyboards has even made its way into ASMR videos.

For me, the Keychron’s biggest selling point is its retro form factor. I get really nostalgic for old school electronics, and Keychron scratches this itch pretty well. It’s a beautiful looking device, that brings to mind a different era of computing, when the style was more workman-like, less minimalist.

As far as home office purchases go, you could do a lot worse than to pick yourself up a piece of hardware that makes your desk look like it just time-traveled from the 1990s.

If there’s any doubt about how seriously Meta is taking AI, here’s a new signal: The company on Wednesday announced that its Muse assistant is now available in a dedicated iPad app. That’s a milestone it took Instagram some 15 years to reach, despite constant user demand.

Muse, meanwhile, hit the iPad just a month after launching on iPhone.

(To be fair, it may not be as difficult to bring something like Muse to iPad, given its text-heavy interface, where image and video resolution and formatting matter less.)

Since launching on iOS and Android on September 8, Muse has topped 6.6 million installs, according to estimates from market intelligence firm Sensor Tower. The app, which is now one of dozens of consumer-facing AI agents, lets users connect their accounts to stay on top of email, meetings, bills, and more, and to complete tasks like booking reservations, ordering groceries, setting goals, and making purchases.

To make that work, Meta has been adding partners in the effort, which appear in Muse as “connectors.” Users can add and sign in to them selectively, depending on which parts of their online life they’re comfortable letting an AI agent handle.

With the iPad release, Meta has updated this list with several of its newer additions, including connectors aimed at small businesses, like Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, and Zoom, as well as connectors for Meta ad accounts. It also added Notion and Granola.

In addition, Meta recently announced more retail partners, like Best Buy, Gap, Sephora, Walmart, and Wayfair. These allow the agent to shop those retailers’ sites and complete transactions on users’ behalf. Because this technology is still new, these experiences can still run into issues as websites mistake agents for bots and block their access.

On Tuesday, Meta announced that it’s working with industry partners on a technological solution to this problem in the form of an open standard that would allow personal AI agents to identify themselves to businesses. That would help businesses sort the good bots from the bad.

A now-former officer with the Central Intelligence Agency has pleaded guilty to stealing almost $200 million, including hundreds of gold bars, as part of a fraudulent scheme masquerading as a top secret government program.

The U.S. Department of Justice on Tuesday confirmed that David J. Rush, a Virginia resident, admitted to one count of wire fraud linked to running the fabricated operation and defrauding the government while he was a CIA officer. In a statement, prosecutors said that Rush lied about his education and military experience to gain a position at the CIA, and used his access as an employee to set up the top secret and highly compartmentalized program with the intention of using it to funnel U.S. government funds into his possession.

During his arrest, law enforcement found more than $46 million worth of gold bars in Rush’s house linked to the long-running fraud scheme, along with cars, watches, and over $2 million in cash.

The plea deal means that Rush escapes trial, as much as the U.S. government likely avoids having to explain in open court how Rush evaded vetting scrutiny to join the U.S. intelligence agency, and how actions went undetected for more than a year.

Rush was until recently a senior CIA officer, who according to earlier reports worked for a division of the CIA since 2010 that develops hacking tools and techniques for carrying out espionage. Per court filings, Rush had significant authority over government intelligence programs and spending.

Over the course of 2025, Rush used his position to fabricate a so-called special access program, which are surveillance or intelligence-gathering operations so sensitive that only a few people are read into them. Special access programs, or SAPs, require special clearance that not even the most cleared individuals in government are granted access to. According to The Washington Post, Rush constructed the compartmentalized program under the guise of a fake “continuity of government” plan, aimed at keeping the government functioning in the event of a war, natural disaster, or some other destructive catastrophe. As part of the scheme, Rush used the program and fake government contract to trick an unnamed defense contractor into buying large amounts of gold that Rush then pocketed.

According to The Post, the case astounded officials as Rush’s duties at the CIA involved work with one of the government’s “most sensitive intelligence-gathering programs,” with details so sensitive that only a few senior U.S. intelligence officials and lawmakers know of its existence. The Post withheld details of that program from publication as its disclosure could “jeopardize ongoing intelligence-gathering operations.”

Court filings said that by virtue of his position, Rush “effectively acted as his own approving official, enabling him to expend substantial amounts of United States government money without meaningful scrutiny.”

Rush is scheduled to be sentenced in late January 2027 and faces up to 20 years in prison.

When self-taught coder Sigil Wen was 17, he moved to Silicon Valley and lived in an AI hacker house with famed AI researcher Andrej Karpathy.

While there, he hacked and coded alongside other people who would become the biggest names in AI, like Perplexity founder Aravind Srinivas and OpenAI researcher Noam Brown. He tested early versions of AI tools that would later become well known, including a chatbot shared by Anthropic co-founder Ben Mann that would become Claude, an image generator from David Holz that would become Midjourney, and what would become OpenAI’s GPT-3 and the image generator Stable Diffusion. Prominent investor and entrepreneur Naval Ravikant hired him for Airchat, Ravikant’s now-defunct rival to the Clubhouse social network.

For fun, he figured out how to get GPT-2 running on his Apple Watch. “It was a magical time,” Wen told TechCrunch.

Now a Thiel Fellow — the program from investor Peter Thiel that invites young founders to pursue projects instead of college — Wen on Monday launched an invite-only beta of Underdog, one of the most private AI assistants Silicon Valley has yet to offer. The model runs wholly on-device, meaning the user’s data remains on devices they already own, currently Macs and Windows PCs, with Linux, iPhone, and Android versions coming soon.

Underdog is powered by Husky, the inference engine Wen built to run AI models quickly on a user’s own hardware. Wen says it moves less data between a computer’s main chip and its graphics chip than rival on-device engines.

Underdog has other security features baked in, too, like encrypting the keys to the email and other accounts that users authorize Underdog to access.

Underdog is, however, using much smaller models than today’s state-of-the-art ones hosted in data centers. It currently uses a 27-billion parameter reasoning model fine-tuned from Qwen3.8-27B.

Wen argues that this model compares favorably with Claude Opus 4.6 in some benchmarks, or what was considered top performance six months ago. He says that means it can handle the everyday tasks that people want an AI assistant to do, like shopping research or answering math homework questions.

“You don’t need to sacrifice your privacy for the capability because they’re just as capable,” Wen says. He adds that small on-device models will continue to grow more capable over time.

Perhaps the most interesting thing about Underdog is its early business model. The app will be free at first and never ad-supported. Since the AI runs on users’ machines, Underdog doesn’t have the giant overhead of paying a provider for inference. “I don’t have to charge you a subscription to run this because my costs are so super low,” he said.

Instead, with Stripe co-founder Patrick Collison as one of his angel investors, he’s borrowing a play from the fintech era. Underdog will take a tiny percentage of payment transactions that the AI assistant makes using Stripe’s secure payment rails, something like an interchange fee. In this way, the AI assistant never has to mine your data. It is as aligned with you as your bank or credit card providers.

This runs contrary to the business motivations of many of the other players in AI assistants, whose privacy policies allow them to collect data on users that they may sell to advertisers or other third parties, or use to train other models.

That kind of data collection could be a particularly treacherous trade-off for users of an AI assistant, which may need access to the most intimate details about you in order to be useful, from medical conditions to financial data to data on your kids.

As Wen wrote in what he calls his AI manifesto, “Why should using AI require surrendering your private information?”

He tells TechCrunch: “I honestly want to build Underdog for myself. I’m building a product that I would be proud for my future children to use.”

The startup behind Underdog is named Conway Research, and Collison isn’t its only big-name investor. Conway is backed by Andreessen Horowitz via partner Chris Dixon, as well as Khosla Ventures, Hummingbird, SV Angel, the Anthology Fund (the partnership fund between Menlo Ventures and Anthropic), and a prominent list of angel investors that includes Vercel founder Guillermo Rauch, Noam Brown, and Deedy Das, among others.

When Flai was raising its seed round last year, it was just a team of three people pounding the pavement to get car dealerships to use the startup’s software to manage phone calls, emails, and texts. But CEO Ari Polakof was already looking to a more agentic future, where Flai’s AI would handle far more.

One year later, that future has arrived. The startup is working with more than 10 of the top 50 dealer groups in the country, and its AI is being used to answer and engage with customers, run outbound campaigns, and schedule appointments — 50,000 per month — across both sales and service. This has led to a 20x increase in revenue, Polakof told TechCrunch in an exclusive interview.

Flai says this deep integration is helping the startup set itself apart from others trying to get car dealers hooked on AI. The growth is attracting investors, too. On Tuesday, Flai said it had raised a $27 million Series A funding round led by automation-focused firm Base10 Partners. The round included funding from dealers (Friedkin Group and Findlay Automotive), Toyota’s venture arm, Y Combinator, and First Round Capital.

Polakof said Flai’s growth is coming from customers who see the bigger vision of what is essentially an AI-powered customer relationship management software built from the ground up and tailored to the specific need of each dealer.

“Sure, we do answer the phone calls, but we’re following up with customers, we’re alerting the leadership whenever they need to take a look at something, maybe because the customer’s mad, or because you forgot to respond, or promised them something next week,” Polakof said. “We’ve grown quite a bit from just a phone solution to more of a platform. There are plenty of AI companies coming in, but I think that really speaks about the opportunity.”

Flai claims its software is also flexible. Earlier this year it launched with a luxury dealer in Puerto Rico where customers “switch between Spanish and English mid-conversation,” Flai co-founder Juan Alzugaray wrote in a LinkedIn post. “We started where we always do: inbound service calls. It went well enough that they added sales. And now the group is rolling Flai out across all 8 of their stores,” he wrote.

The result of all this is that dealerships are selling more cars, making more money, and “customers are getting answers faster,” according to one of the groups Flai works with.

Perhaps unsurprisingly, Polakof said much of Flai’s customer growth has come from the dealers talking up the product to their peers.

“If you really do great by them, they also do great by you, and they recommend you, and talk about you,” he said. This has led to Flai generating half of its revenue from new customers, according to Polakof.

Customers are making these referrals because they like Flai’s software, Polakof said, but also because they get up and running quickly. Flai’s software can be live in a dealership 10 days after a contract is signed, and he tells his team — which is now up to around 40 people — that they need to respond to customers within 20 minutes “at most.”

“The common experience, especially around automotive [software] vendors, is — and many are almost traumatized by this — is that they sign the contract and then the company disappears,” he said “I’m fully focused on making sure that we treat every customer as if they’re our only customer, especially because I know how hard it was to get the first one.”

That speed and customer experience, combined with the knowledge Flai has developed on how dealerships work and what they need, is what Polakof said protects the startup from products like Muse, which Meta has pitched as a one-shot solution for small businesses.

“You get a group of really smart people, and you spend all your days, all your time thinking very deeply about this one space — it’s just so hard to envision that any other platform outside of the space can come in and start going after your customers,” he said.

For all this momentum, there is still one customer Polakof hasn’t been able to land: his own local dealership.

“I’m actually trying much harder than I should to make them a customer,” he laughed. “I’m sure we will get them by next year.”

Lucid Motors built 2,954 electric vehicles (EVs) in the third quarter of this year, a 54% drop from a year ago, as the company purposely limits production to better meet demand for its EVs.

This was the third straight quarter in which the number of EVs Lucid built has declined. It’s also the lowest quarterly output since the first quarter of 2025, which was just after Lucid Motors started production of its second EV, the Gravity SUV.

Lucid delivered 3,806 EVs in the third quarter, roughly flat with the second quarter and down about 200 vehicles from the third quarter of 2025. The company has struggled to find buyers for either of its first two luxury EVs. In five of the last six quarters, it built more vehicles than it delivered.

Lucid’s new CEO, Silvio Napoli, has spent the last few months leading an effort to “simplify the company.” That effort has included laying off around 1,500 employees, streamlining the company’s leadership, and eliminating a second shift at its factory in Arizona in a bid to reach cost savings of $1.4 billion. Lucid also delayed the release of its third EV, the Cosmos. That model is supposed to be much cheaper, starting at under $50,000.

The third quarter figures, released Monday afternoon, come just a few days after rival EV upstart Rivian posted its best quarter in history on the back of the R2, its new, more affordable SUV. Although Rivian didn’t break out specific delivery figures for the R2, the company shipped nearly 20,000 vehicles in the third quarter, the first full quarter with the R2 in production, up from 12,194 in the second quarter.

Lucid’s failure to find a large market of buyers for its EVs is even more stark when compared with the promises the company made when it went public in 2021. That year, Lucid Motors merged with a special purpose acquisition company and estimated it would ship as many as 90,000 EVs in 2024 alone. The company raised $4 billion in the transaction.

On Lucid’s second-quarter earnings call in August, Napoli spoke about why he thinks the company has failed to make a dent in the EV market.

“While there is no question that Lucid brought leading innovations and outstanding products to the market, we have disappointed on several fronts, and for far too long,” he said. “We have not executed consistently. We missed commitments, launched products before they were ready, underinvested in service, responded too slowly to quality issues, and allowed complexity to slow decisions down.”

The Cosmos’ lower price could, in theory, let Lucid access a wider market, but Napoli cautioned shareholders that rushing the new EV out could create more trouble.

“We will not repeat the mistakes of the past by bringing a product to market before it is ready,” Napoli said on the call.

OpenAI will start adding an invisible watermark to text generated by ChatGPT and Codex in the European Union to comply with the EU AI Act, the company said Monday in a blog post.

The EU AI Act’s transparency rules, which took effect on August 2, require AI companies to mark AI-generated content in a way other systems can identify.

OpenAI said the watermark will roll out over the coming weeks to eligible ChatGPT and Codex users on all plans, but only in the EU. Developers using OpenAI’s API anywhere in the world can turn it on for select models starting today; it’s off by default. OpenAI said it is not making text watermarking a global default at launch.

The watermark is not an actual symbol, but works by subtly shaping the model’s word choices, leaving a pattern readers can’t see, but a detector can pick up. Because it lives in the words themselves, it travels with the text when it’s copied and pasted. OpenAI said the watermark doesn’t identify the user, and that it saw no meaningful change in its models’ performance with it switched on.

OpenAI also published a technical report for its method, called textGrain, alongside the announcement. Co-written with researchers from the University of Pennsylvania and Yale, it walks through an example of using a secret key to sort next-word predictions to finish the sentence. Add hundreds of these nudges together, and the detector can spot AI-generated content using only the text and the key.

Can the watermark be removed by editing? OpenAI’s tests suggest yes. In one test, replacing 10% of words with synonyms dropped detection from about 92% to 66%. The company also said short passages, math answers, and translated text are harder to detect.

“These limitations contribute to our decision to provide initial detector access only to approved researchers and expert organizations, who can help us evaluate reliability and responsible uses,” said the company.

OpenAI also cautioned that a missing watermark “does not prove human authorship.” The text could be too short or too heavily edited, or it could come from another company’s AI.

“[Watermarks] can indicate that an OpenAI system generated or processed part of a passage, but not how much human judgment, editing, or creativity went into it,” the company said.

The announcement comes two months after Anthropic said it would watermark text generated by Claude, a move it’s applying worldwide. That decision drew backlash from some Claude users, who argued they had supplied “the instructions, context, decisions” while Claude was just “the tool.”

OpenAI had built a text watermark before but held off on releasing it, partly over concerns that users would switch to rivals that didn’t watermark, The Wall Street Journal reported in 2024.

Anthropic, Google, Meta, Microsoft, and OpenAI are among the companies that have committed to following the EU’s code of practice on AI-generated content.