Tech
EFF is the latest organization to leave X
X’s decline in engagement and its ability to drive traffic is the topic du jour, with several days of bad PR for the Elon Musk-owned social network.
Over the weekend, X’s head of product, Nikita Bier, and data analyst Nate Silver, previously of FiveThirtyEight, feuded over whether or not X was still capable of sending traffic to publishers. This was followed by a report from NiemanLab on Wednesday, which suggested that adding links to X posts is bad for engagement.
On Thursday, the prominent digital rights group and nonprofit EFF (Electronic Frontier Foundation) announced it, too, was leaving X after seeing decreasing returns from its posts.
In a blog post, EFF’s social media manager, Kenyatta Thomas, said that leaving X after almost 20 years on the platform wasn’t “a decision we made lightly,” but explained that the math no longer works out in its favor.
In 2018, EFF’s posts to Twitter saw between 50 and 100 million impressions per month, she said. By 2024, its 2,500 posts on the social platform generated around 2 million impressions per month. Last year, EFF’s 1,500 posts earned roughly 13 million impressions for the entire year.
“To put it bluntly, an X post today receives less than 3% of the views a single tweet delivered seven years ago,” Thomas wrote.
The organization will continue to post on Facebook, Instagram, TikTok, YouTube, and elsewhere on the open social web, noting that its presence on a platform is not an endorsement of these services.
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“We stay because the people on those platforms deserve access to information, too. We stay because some of our most-read posts are the ones criticizing the very platform we’re posting on,” Thomas said. “X is no longer where the fight is happening.” (Ouch!)
EFF is one of many organizations to ditch X, following other high-profile exits that have included various news publishers like NPR, PBS, The Guardian, Le Monde, and others, as well as many academics, celebs, local governments, and more.
The news organizations may have had various reasons to leave X, but traffic could have kept them around. For some, like NPR and PBS, the departure was a reaction to Musk’s decision to falsely label them as “state-affiliated media,” a title typically reserved for mouthpieces of governments that lack editorial independence — such as Russia and China-based propaganda networks. For others, like Le Monde, it was a reaction to Musk’s close ties with Trump.
But it’s easier to take a stand when you have little to nothing to lose.
Today, any source of traffic is highly valuable, as publishers deal with shifts in online consumer behavior. AI usage is ramping up, killing traffic to publishers at the same time that news sites are seeing declining referrals from search engines and Facebook. That’s left many newsrooms to fold under the financial pressure or conduct layoffs.
In Bier’s debate with Silver, he accused newsrooms of using X wrong.
Bier stressed that news outlets like The New York Times should be posting in a way to encourage conversation on X’s platform, not just using X as a news feed to publish a simple headline and a link. Silver, however, pointed out that even when he did the work to generate on-platform discussion, it didn’t provide much of a lift in terms of traffic to his website.
“The conversion to off-site traffic is very middling,” Silver wrote on X. “Maybe 2-3% of the readership for a Silver Bulletin article instead of ~1%.” By comparison, he noted that Twitter used to send FiveThirtyEight around 15% of its traffic.
Even some of Silver’s detractors seemed to agree with his assessment of X, which he published in a newsletter. Namely, X is now dominated by conservative influencers, and many top accounts in terms of engagement are low quality. (For instance, Silver pointed out that the account “Catturd,” a right-wing influencer known for spreading conspiracy theories, sees more engagement than The New York Times.)
Musk, of course, dismissed this analysis, calling Silver’s data “bullshit” in a reply.
NiemanLab’s own analysis involving 18 large publishers’ most recent 200 posts generally supported Silver’s claims. It found that newsrooms publishing links alongside X posts were seeing poor engagement — including on future posts.
That doesn’t necessarily mean X is downranking their posts — the company claims it stopped doing that — it could just mean that X is not as happening as it was before.
Tech
Hey Siri, here’s what I actually want from AI
Two years and a $250 million lawsuit later, Apple’s AI Siri revamp is on its way to your phones and laptops and even your mixed reality headset, if you happen to be one of like three people who actually uses the Apple Vision Pro. Apple revealed a slew of new information at Monday’s WWDC keynote about these long-awaited, AI-powered updates that can take advantage of the fact that our hardware is supposedly “built for Apple Intelligence.”
To be honest, it’s hard for AI to impress me enough that I’ll use it in my day-to-day life. I still don’t trust LLMs to provide consistently accurate information, I find it ethically untenable (and uncool) to use AI to help me write, and I don’t feel the insatiable urge to know what I would look like as a Studio Ghibli character. But every once in a while, the promise of AI tempts me.
That’s how I felt watching Apple’s Siri AI demos, which depict a world where your phone comes with an always-on, constantly-working assistant who knows everything about you and can help you keep track of all of the conversations happening on like 12 different apps on your phone at any given moment.
To paraphrase Katy Perry, it feels so wrong (what are the privacy implications?), but it also feels so right (I am so overwhelmed by my phone and am begging for help parsing it all).
I want Siri to be my own personal Emily from “The Devil Wears Prada” — a “second brain” that anticipates my needs before I even know what they are. I want Siri to read my texts and automatically make an event when a friend and I decide we’re going to meet up for dinner on Thursday. I want Siri to remind me when I’m walking past CVS that I have a prescription ready for pickup. If I forget to reply to an important work email, I want Siri to remind me that I didn’t write back yet.

Siri AI won’t be able to do all of that out of the box, but it’s moving in the right direction. In one example at WWDC, Justin Titi, an Apple senior director working on AI engineering, asks the smart assistant to remind him of the dessert that his daughter mentioned recently. Siri searches across Titi’s phone to find a text from about a month ago, when his daughter mentioned that she wanted to make coconut cookies. It’s simple, but asking Siri to find that message saves time, rather than scrolling up through an entire month of conversation looking for that one specific text.
The new-and-improved Siri is designed to use “personal context,” which refers to any information you put into Apple-native apps, like iMessage, Notes, Calendar, Mail, Photos, and more. Siri will also be aware of what’s on your screen, so for example, if you scroll past a picture of a nice park on Instagram, you can ask it to find out where that park is. (We still don’t know if Siri will be able to integrate into non-native Apple apps; it seems like it might be up to the developers to make that happen.)
There already are apps like Poppy and Poke that try to create this kind of mobile, agentic AI. But the paradox of these AI personal assistant tools is that you have to give up a lot of personal data and privacy to make them work correctly, which may just cause you more trouble (remember that time when a Meta researcher ran OpenClaw and accidentally deleted her entire inbox?).

I can’t say that I love giving any tech giant my personal data, but Apple at least seems to care more about security than the other FAANG (MANGOS?) companies. On-device AI will always be more secure and less energy intensive than cloud computing, since the data is processed directly on your phone. (This is how current Apple Intelligence features like email summaries and AI emojis are generated.) But for the more complex tasks that Siri will confront, Apple pioneered private cloud compute (PCC), a way for devices to parse complex data over the cloud without even exposing your data to Apple itself. (If it’s possible to hack PCC, it hasn’t happened yet, even though Apple offers a $1 million bug bounty.)
In a recent conversation with the writer Calvin Kasulke — who is so internet-brained that he wrote a novel that takes place exclusively on Slack — I confessed what feels like a taboo desire to outsource all of my “life admin” to an AI.
“When you talk about the nonsense of the tech detritus in your life… I think the question is, ‘Is all that you have necessary?’ If it is necessary, isn’t it worth cultivating the skill and spending the time to do it?” Calvin told me. “I don’t think that those are skills that one should allow to atrophy.”
He makes a good point: Maybe instead of asking Siri to remind me about the TV show that my friend told me I should watch, I could pay more attention when I’m talking to my friends. I don’t want to get into the habit of forgetting more consequential details from my conversations.
“I’m sorry, but all of the commercials that are like, ‘What if I had the computer buy my kid a birthday gift?’ I’m like, ‘What if you learned what your kid likes?’ … Like, I don’t know man, it sounds like [they] don’t want to do the fundamental act of being a person,” he said.
Maybe when I say I want Siri to be like Emily from “The Devil Wears Prada,” I should remember that Emily’s character is on the verge of a crash-out. I know I can’t psychologically impact Siri like Miranda Priestly damaged Emily, but will I become the kind of person who can’t function without the friendly robot voice in my phone? Do I want to be that person?
At least if I decide to opt out from all of this, Apple will make that possible. Unlike Google’s controversial Search overhaul, the new AI Siri can be toggled on and off, so you don’t have to use it. Until then, I’ll have to decide if it’s worth it to taste the forbidden fruit of Siri AI.
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Tech
GM joins race to build batteries for AI data centers and the grid
The race to secure power for AI data centers has spilled over into some unusual places, including the automotive world.
Battery recycler Redwood Materials kicked off the trend last year with a new energy storage division and a project that attached old EV packs to a Crusoe data center in Nevada. Then, Ford said it was repurposing some of its battery manufacturing capacity to make grid-scale batteries. And now GM is announcing its own — arguably more ambitious — plans for an energy storage system (ESS).
GM unveiled on Tuesday two new phases in its attack on the energy storage market. The biggest swing by far is GM’s new partnership with energy storage startup Peak Energy. For that partnership, GM is developing an entirely new sodium-ion battery chemistry tailored for grid-scale deployments.
Outside of China, no automaker has announced plans to build sodium-ion cells.
“The way we’re getting into the market is the easy way, through ESS,” Kurt Kelty, vice president of battery and sustainability at GM, told TechCrunch. “The performance characteristics are just what is needed in that market.”
GM wouldn’t share with TechCrunch how much money it is investing in this energy storage effort. But we do know the company has committed $900 million to commercialize new battery chemistries, an investment that includes a new battery development center.
Sodium-ion batteries work similarly to lithium-ion, but they swap out key materials to make the cells cheaper, longer lasting, and less prone to overheating. The tradeoff is that sodium-ion batteries need to be larger and heavier to store the same amount of electricity.
Peak Energy has already been working on energy storage systems that use sodium-ion batteries. Because sodium-ion batteries behave differently from lithium-ion, Peak has developed an energy storage system with that in mind. Its grid-scale batteries don’t have cooling systems or fire suppression systems because there’s less risk of overheating. The setup reduces upfront costs, and it should also eliminate costly maintenance, Paul Menson, director of energy storage commercialization at GM, told TechCrunch.
“This is the manifestation of the hardest part to engineer is no part at all,” he said. “Eliminate the part, eliminate the problem.”
GM plans to sell sodium-ions cells to the startup, which will then integrate them into its products. But that won’t happen right away.
The first GM cells are expected to enter trial production at the company’s Battery Cell Development Center in 2028. TechCrunch was recently given an exclusive look at the new facility, which GM expects will cut about a year from the commercialization process for sodium-ion batteries, reducing costs in the process.
GM’s sodium-ion cells are still years away from commercial production, however. In the meantime, the automaker will sell lithium iron phosphate (LFP) cells to LG Energy Solution for use in its energy storage systems. LG Energy Solution already works with GM through its Ultium joint venture, which makes batteries for the automaker’s EVs.
Alongside the partnerships with LG and Peak, GM announced that it was expanding its work with Redwood Materials, the battery recycling and energy storage startup founded by former Tesla executive J.B. Straubel.
Redwood already buys scrap from GM’s battery factories and used battery packs from its EVs. GM has a pipeline of around 10,000 packs it’s sending to Redwood, and the startup has been operating a 12 megawatt/63-megawatt-hour migrogrid using second-life packs at a Crusoe data center in Sparks, Nevada. GM said it is buying a 7.2 megawatt-hour Redwood system for use at one of its plants in Michigan, which it estimates will save it around $3 million over its lifetime.
The GM installation is “a step one” for Redwood, Cal Lankton, chief commercial officer for Redwood, told TechCrunch.
Data centers, where Redwood already operates, and industrial sites like GM’s are “vastly different things,” he said. Where data centers might use batteries nearly continuously to absorb some of the power fluctuations from GPUs, industrial sites are more likely to use them to shave off peaks in power demand, which can lower monthly power bills, and use them to provide backup power in case of an outage.
“The factory is really excited because now we’ve got a more reliable factory,” Kelty said. “Ultimately, we’ll be having similar installations like this at all of our factories. It just makes good economic sense.”
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Tech
Pentagon says Alibaba, Baidu, BYD, and Unitree support China’s military
The Pentagon has added Alibaba, Baidu, EV-maker BYD, and buzzy robotics company Unitree to a list of entities it says support the Chinese military.
The expansion of the list increases the chance that the Department of Defense could make it harder for U.S. companies to do business with these entities. It’s also likely to further strain the tension between the U.S. and Chinese governments.
“We categorically reject the inclusion of Baidu on the list, and there is no credible justification for adding Baidu to the list,” Baidu said in a statement to TechCrunch. “The suggestion that Baidu is a military company is entirely baseless. We will not hesitate to use all options available to us to have the company removed from the list.”
Alibaba told TechCrunch that it “is not a Chinese military company nor part of any military-civil fusion strategy. We will take all available legal action against attempts to misrepresent our company.”
The list — known as the 1260H list, for the specific section of the 2021 National Defense Authorization Act that created it — is just one tool that the U.S. has used to place restrictions on Chinese tech. President Donald Trump has used tariffs in both of his terms to put pressure on China, including a 100% tax on imported Chinese EVs.
This particular update to the 1260H list was briefly published in February, before being pulled from the Federal Register for unexplained reasons, as Bloomberg News notes.
Most of China’s biggest artificial intelligence players are now on the list, with Tencent added last year. This comes as Trump has said he’s weighing whether the U.S. should take equity stakes in the country’s top AI companies.
The updated list now includes 188 companies.
The Pentagon added a handful of automotive industry players to the list this year. In addition to BYD, trendy EV company Nio and battery companies CALB Group and EVE Energy were added. RoboSense, one of China’s leading makers of lidar sensors, has joined its rival Hesai on the list, too. Baidu is also one of China’s leaders in autonomous vehicles.
BYD, Nio, and RoboSense did not immediately respond to requests for comment.
This story has been updated with responses from Alibaba and Baidu.
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