Tech
The biggest AI stories of the year (so far)
You can chart a year through product launches, or you can measure it in the greater moments that change the way we look at AI. The AI industry is constantly churning out news, like major acquisitions, indie developer successes, public outcry against sketchy products, and existentially dangerous contract negotiations — it’s a lot to untangle, so we’re taking a glimpse at where we’re at and where we’ve been so far this year.
Anthropic vs. the Pentagon
Once business partners, Anthropic CEO Dario Amodei and Defense Secretary Pete Hegseth reached a bitter stalemate in February as they renegotiated the contracts that dictate how the U.S. military can use Anthropic’s AI tools.
Anthropic established a hard line against its AI being used for mass surveillance of Americans or to power autonomous weapons that can attack without human oversight. Meanwhile, the Pentagon has argued that the Department of Defense — which President Donald Trump’s administration calls the Department of War — should be permitted access to Anthropic’s models for any “lawful use.” Government representatives took offense to the idea that the military should be limited to the rules of a private company, but Amodei stood his ground.
“Anthropic understands that the Department of War, not private companies, makes military decisions. We have never raised objections to particular military operations nor attempted to limit use of our technology in an ad hoc manner,” Amodei wrote in a statement addressing the situation. “However, in a narrow set of cases, we believe AI can undermine, rather than defend, democratic values.”
The Pentagon gave Anthropic a deadline to agree to their contract. Hundreds of employees at Google and OpenAI signed an open letter urging their respective leaders to respect Amodei’s limits and refuse to budge on issues of autonomous weapons or domestic surveillance.
The deadline passed without Anthropic agreeing to the Pentagon’s demands. Trump directed federal agencies to phase out their use of Anthropic tools over a six-month transition period and called the AI company, which is valued at $380 billion, a “radical left, woke company” in an all-caps social media post. The Pentagon then moved to declare Anthropic a “supply-chain risk,” a designation that is usually reserved for foreign adversaries and prevents any company that works with Anthropic from doing business with the U.S. military. (Anthropic has since sued to challenge the designation.)
Anthropic rival OpenAI then swooped in and announced that it had reached an agreement allowing its own models to be deployed in classified situations. It was a shock to the tech community, since reports had indicated that OpenAI would stick to Anthropic’s red lines governing use of AI for the military.
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Public sentiment would indicate that people found OpenAI’s move fishy — on the day after OpenAI announced its deal, ChatGPT uninstalls jumped 295% day-over-day and Anthropic’s Claude shot to No. 1 in the App Store. OpenAI hardware executive Caitlin Kalinowski quit in response to the deal, saying that it was “rushed without the guardrails defined.”
OpenAI told TechCrunch that it believes its agreement “makes clear [its] redlines: no autonomous weapons and no autonomous surveillance.”
As this saga plays out, it will have significant implications for the future of how AI is deployed at war, potentially changing the course of history — you know, no big deal …
“Vibe-coded” app OpenClaw accelerates the turn to agentic AI
February was the month of OpenClaw, and its impact continues to reverberate. In quick succession, the vibe-coded AI assistant app went viral, spawned a bunch of spinoff companies, suffered from privacy snafus, and then got acquired by OpenAI. Even one of the companies built on OpenClaw, a Reddit-clone for AI agents called Moltbook, was recently acquired by Meta. This crustacean-themed ecosystem whipped Silicon Valley into a downright frenzy.
Created by Peter Steinberger — who has since joined OpenAI — OpenClaw is a wrapper for AI models like Claude, ChatGPT, Google’s Gemini, or xAI’s Grok. What sets it apart is that it allows people to communicate with AI agents in natural language via the most popular chat apps, like iMessage, Discord, Slack, or WhatsApp. There’s also a public marketplace where people can code and upload “skills” for people to add to their AI agents, making it possible to automate basically anything that can be done on a computer.
If that seems too good to be true, it’s because it kind of is. In order for an AI agent to be effective as a personal assistant, it needs to have access to your email, credit card numbers, text messages, computer files, etc. If it were to be hacked, a lot could go wrong, and unfortunately, there’s no way to fully secure these agents against prompt-injection attacks.
“It is just an agent sitting with a bunch of credentials on a box connected to everything — your email, your messaging platform, everything you use,” Ian Ahl, CTO at Permiso Security, told TechCrunch. “So what that means is, when you get an email, and maybe somebody is able to put a little prompt injection technique in there to take an action, [and] that agent sitting on your box with access to everything you’ve given it to can now take that action.”
One AI security researcher at Meta said that OpenClaw ran amok on her inbox, deleting all of her emails despite repeated calls to stop. “I had to RUN to my Mac mini like I was defusing a bomb” to physically unplug the device, she wrote in a now-viral post on X, which included images of the ignored stop prompts as receipts.
Despite the security risks, the technology piqued OpenAI’s interest enough for an acqui-hire.
Other tools built on OpenClaw, including Moltbook — a Reddit-like “social network” where AI agents can communicate with one another — ended up becoming more viral than OpenClaw itself.
In one instance, a post went viral in which an AI agent appeared to be encouraging its fellow agents to develop their own secret, end-to-end-encrypted language where they could organize amongst themselves without humans knowing.
But researchers soon revealed that the vibe-coded Moltbook wasn’t very secure, meaning that it was very easy for human users to pose as AIs to make posts that would trigger viral social hysteria.
Again, even though the discussion around Moltbook was more grounded in panic than reality, Meta saw something in the app and announced that Moltbook and its creators, Matt Schlicht and Ben Parr, would join Meta Superintelligence Labs.
It seems strange that Meta would buy a social network where all of the users are bots. While Meta hasn’t revealed much about the acquisition, we theorize that owning Moltbook is more about gaining access to the talent behind it, who are enthusiastic about experimenting with AI agent ecosystems. CEO Mark Zuckerberg has said it himself: He thinks that one day, every business will have a business AI.
As we watch the hubbub around OpenClaw, Moltbook, and NanoClaw play out, it seems as though those who predicted an agentic AI future may be on to something, at least for now.
Chip shortages, hardware drama, and data center demands escalate
The harsh demands of the AI industry — which require computing power and data centers in unprecedented volumes — are reaching a point where the average consumer has no choice but to pay attention. Now it may not even be possible for the industry to satisfy the astronomical demands for memory chips, and consumers are already seeing the prices of their phones, laptops, cars, and other hardware increase.
So far, analysts from IDC and Counterpoint have predicted that smartphone shipments, for example, will plummet about 12% to 13% this year; Apple has already raised MacBook Pro prices by up to $400.
Google, Amazon, Meta, and Microsoft are planning to spend up to a combined $650 billion on data centers alone this year, which is an estimated 60% increase from last year.
If the chip shortage doesn’t hit you in your wallet, it might hit your community at large. In the U.S. alone, nearly 3,000 new data centers are under construction, adding to the 4,000 already operating in the country. The need for laborers to build these data centers is significant enough that “man camps” have sprung up in Nevada and Texas, attempting to lure workers with the promise of golf simulator game rooms and steaks grilled on-demand.
Not only does data center construction have a long-term impact on the environment, but it also creates health hazards for nearby residents, polluting the air and impacting the safety of nearby water sources.
All the while, one of the most valuable hardware and chip developers, Nvidia, is reshaping its relationship to leading AI companies like OpenAI and Anthropic. Nvidia has been an ongoing backer of these companies, sparking concerns around the circularity of the AI industry and how much of those eye-popping valuations are based on recursive deals with each other. Last year, for example, Nvidia invested $100 billion in OpenAI stock, and OpenAI then said it would buy $100 billion of Nvidia chips.
It was surprising, then, when Nvidia CEO Jensen Huang said that his company would stop investing in OpenAI and Anthropic. He said that this is because the companies plan to go public later this year, though that logic doesn’t quite make sense, since investors typically funnel in more money pre-IPO to extract as much value as possible.
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Marc Lore says that AI will soon enable anyone open a restaurant
Marc Lore, the veteran e-commerce entrepreneur who sold his previous startups to Amazon and Walmart, has big plans to infuse AI into his current venture, Wonder.
The centerpiece of those plans is Wonder Create, an initiative that would let anyone — from food entrepreneurs to social media influencers — use AI to design and launch their own restaurant brand in under a minute. The virtual restaurant would then go live across Wonder’s growing network of tech-enabled kitchen locations, currently numbering 120 and expected to reach 400 next year.
Lore’s startup, a vertically integrated dining and delivery platform, has evolved from food trucks to fast casual restaurants with 10 to 20 seats. These are not normal restaurants, though; they are “programmable cooking platforms” capable of operating as 25 different types of restaurants based on cuisine, within their all-electric kitchens that are increasingly becoming robotic.
Speaking at The Wall Street Journal’s “Future of Everything” conference this week, Lore said these kitchens have a 700-ingredient library. The “restaurants” they house actually consist of many different brands that operate from within these locations.
In addition to a staff of up to 12 people in these kitchens, cooking tech, like conveyors and robotic arms, are involved in the cooking process. The company also just bought Spice Robotics, a maker of an automatic bowl-making machine previously used by Sweetgreen. Next year, it plans to offer an “infinite sauce machine” that can make bout 80% of all the sauces found in recipes on the internet today.
Wonder Create was announced earlier this year as a way for anyone to use Wonder’s software to launch their own restaurant brand and recipes.
Lore offered more details as how this would work by leveraging AI technology, describing the plan as something like a “Shopify front-end with an AI prompt.”
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“You type in what kind of restaurant you want to build. It builds the restaurant — AI does — in under a minute. It does the name, branding, description, pictures, pricing, health information, and all the recipes for your restaurant,” Lore explained during an interview at the WSJ event. The would-be restaurateur could then refine the prompt if changes were needed. When ready to go live, the restaurant would launch across all of Wonder’s locations.
The company currently has 120 of these “programmable cooking platforms” in operation, a number that’s expected to grow to 400 next year. As it adds robotics to the equation, the company won’t necessarily reduce headcount, Lore noted. Instead, it will increase the number of meals a kitchen can produce in a given period.
“We have about 7 million throughput capacity with 12 people,” he said. “We see a path to getting to 20 million throughput out of 2,500 square feet with just 12 people. The goal also is…I guess by 2035, to have 1,000 unique restaurants operating out of the 2,500 square feet,” Lore added.
The goal with these AI-created “restaurants” is to allow people to experiment with food in new ways. A restaurateur could test recipes to gauge customer reaction before adding dishes to his own brick-and-mortar locations, for example.
Lore sees other use cases for the platform, too, like letting influencers connect with their audience through their own “restaurant” brands without having to actually launch their own chains.
“It could be a mega-influencer, a micro-influencer — anyone that wants to monetize their following,” Lore said. “Or it could be a private trainer that wants to make specific bowls. It could be a not-for-profit. It could be Disney for [marketing] their new movie. Anybody can make a restaurant.”
Whether that many people actually want to is an open question. Ghost kitchens — a similar concept that promised to let brands sell food without owning a restaurant — had a rocky run in the early 2020s, with several high-profile operators scaling back or shutting down after struggling to build customer loyalty. Wonder’s added layer of automation and AI may address some of those pitfalls, but the model is still unproven at scale.
MrBeast Burger, a famous ghost kitchen experiments, vividly illustrated the challenge. The brand faced widespread complaints over inconsistent food quality — a consequence of relying on dozens of different contracted kitchens and staff. Wonder’s programmable, increasingly automated kitchens are designed to solve exactly that problem.
There are still limits to this idea, Lore admitted. Wonder’s team (including its robots) can’t do things like toss and stretch pizza dough or slice and roll sushi. Instead, Wonder’s focus is on simpler basics like burgers, chicken wings, fried chicken, and bowls.
The whole plan comes together with Lore’s other acquisitions — Grubhub for its 250 million-deliveries-per-year business and Blue Apron for its meal kit business. Now, Wonder is focused on buying restaurant brands, like New York City-based Blue Ribbon Fried Chicken, which it snapped up for $6.5 million in February.
“When you buy a brand — and you can buy a brand that has 10 locations, or even 50 locations — and then overnight put it in 1,000, there’s just an incredible arbitrage there,” Lore noted.
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Peter Sarlin’s QuTwo reaches $380M valuation in angel round
QuTwo, the Finnish AI lab founded by former AMD Silo AI CEO Peter Sarlin, is now valued at €325 million (approximately $380 million) after raising a €25 million angel round ($29 million). It’s a sign of enduring tailwinds for AI, quantum computing, and sovereign tech, especially for Europe-made companies.
QuTwo’s name is a nod to quantum computing, but it hasn’t gone all-in on quantum. Its core product, QuTwo OS, is an orchestration layer that directs tasks to classical, quantum or hybrid architectures — with the idea that enterprise use cases are often best served by “quantum-inspired” computing, which uses classical chips to simulate quantum behavior on more reliable hardware.
Enterprise AI will be QuTwo’s bread and butter. The company already secured some $23 million in committed revenue thanks to design partnerships with the likes of retail giant Zalando, for which it helped develop AI assistants. “AI is the North Star that we will continue to aim for. Quantum is just a new type of compute,” said Sarlin, who is adamant that QuTwo is an AI company.
Momentum has been building around Europe-based AI labs, and several of them have become overnight unicorns. Just last week, former DeepMind researcher David Silver secured $1.1 billion for his new endeavor, Ineffable Intelligence. QuTwo’s valuation and round size are somewhat modest in comparison but will let it pursue its roadmap under less pressure.
According to Sarlin, who serves as QuTwo’s executive chairman, this was a decision he also made for his previous company, Silo AI, which AMD acquired for $665 million in 2024. “I had a lot of investors who would have wanted to pour a lot of money into making Silo into Europe’s OpenAI, but I didn’t believe in that play,” he told TechCrunch.
The main difference is that QuTwo wants the freedom to think long term, with a five- to ten-year horizon. “We are on a mission to build the globally leading AI company for the next paradigm, given that Europe did not succeed in building the AI company for this era,” Sarlin said.
It’s not that Sarlin is bearish on European AI, of which he is a prolific backer. Nor is he necessarily critical of extra-large rounds — he volunteered that he is also an investor in Yann LeCun’s Ami Labs, which raised $1.03 billion, and in British-American venture Recursive Superintelligence, which is rumored to be following the same path. But he didn’t see a billion-dollar round as the right fit for QuTwo — nor VC money, at least for now.
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Until recently, QuTwo was solely funded through Sarlin’s family office, PostScriptum, which also incubated NestAI, the other company where he serves as executive chairman. But whereas NestAI raised some $115 million in a funding round led by Finland’s sovereign fund and Nokia, QuTwo wasn’t seeking to raise external funding.
However, when the lab’s soft launch generated significant interest earlier this year, Sarlin decided he would say no to checks from VCs and strategic investors, but yes to an angel round in part due to the geopolitical moment Europe is currently navigating.
With Europe increasingly looking to favor local alternatives to U.S. tech providers, there are tailwinds for AI made in Finland. But there is also investor appetite for a company that promises to facilitate more ambitious R&D initiatives in the fields where the region already has strong players, such as the automotive, life sciences and gaming sectors.
Conversely, Sarlin expects that QuTwo’s angel investors could open doors across Europe. There are definitely quite a few introductions he could request from this group, which includes Yuri Milner, Xavier Niel, Nico Rosberg, Dieter Schwarz and Niklas Zennström, and as well as many startup founders from Hugging Space, Legora, Miro, Skype, Supercell, Wolt, and more.
This will also support QuTwo’s growth. It recently expanded into Sweden, and has been hiring. According to Sarlin, some 50 quantum and AI scientists have joined the team, which includes two other second-time entrepreneurs: his former cofounder at Silo, Kaj-Mikael Björk; and Kuan Yen Tan, a cofounder at IQM, the Finnish quantum company that is set to go public.
QuTwo’s connection with IQM is also a reminder that the company believes we are about to enter the quantum era — it just can’t wait. “The question for repeat founders like [us] is how can we have even a larger impact. In the long term, it’s important for Europe that we build the AI company for the next paradigm out of Europe. But, in the short term, we can have a significant impact in driving ambitious R&D moon shots in Europe,” Sarlin said.
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reMarkable’s new Paper Pure tablet goes back to basics with a monochrome screen
After exploring the bigger market for productivity tablets featuring color displays with the Paper Pro and the smaller Paper Pro Move, E Ink tablet maker reMarkable is returning to its roots with a new monochrome device called the Paper Pure.
The new, $399 Paper Pure succeeds the monochrome reMarkable 2 after six years, and comes with more powerful hardware as well as modern software features that make it competitive in today’s tablet market.
The Paper Pure has a 10.3-inch display when measured diagonally, the same as the reMarkable 2, but the new one is wider, which, the company says, makes it easier to take notes and read text. Notably, the resolution hasn’t changed between the two tablets, staying at 1872 x 1404 pixels with a pixel density of 226 PPI.
The tablet also comes with 32GB of storage, four times the amount you got on its predecessor, and is also about 40 grams lighter, weighing 360 grams.

ReMarkable said the Paper Pure is 50% more responsive than the reMarkable 2, and offers 30% more battery life with its 3,820 mAh battery.
The company has added a slew of new features to the tablet to bring it up to par with modern productivity tools, including support for a web app. The Paper Pure lets you sync your calendar, as well as take and share notes for a particular meeting. And if you import documents from cloud storage services, the online sync service will automatically convert them into a notebook suited for reading and annotating on the tablet itself. The company said it also comes with better handwriting search capabilities.
The Paper Pure integrates with Slack, too, so you can convert handwritten notes into typed text that you can share. It also integrates with collaboration tool Miro, letting you share sketches and the like.
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The Norwegian company said it now plans to sunset production of the reMarkable 2, but will still offer software updates and support to existing customers.
The Paper Pure’s base model comes bundled with a stylus, and the costlier $449 version gets you a fancier stylus, dubbed Marker Plus, that includes an eraser function, plus a sleeve folio in various colors. Users can order the device starting today, and shipping is expected to start in early June.
The company said it has sold more than 3.5 million devices so far, and that it has 1.2 million subscribers for its Connect service, which offers unlimited cloud storage, exclusive templates, and the ability to create links to share notes or sketches.
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