Technology

New York passes a bill to prevent AI-fueled disasters

New York state lawmakers passed a bill on Thursday that aims to prevent frontier AI models from OpenAI, Google, and Anthropic from contributing to disaster scenarios, including the death or injury of more than 100 people, or more than $1 billion in damages.

The passage of the RAISE Act represents a win for the AI safety movement, which has lost ground in recent years as Silicon Valley and the Trump administration have prioritized speed and innovation. Safety advocates including Nobel laureate Geoffrey Hinton and AI research pioneer Yoshua Bengio have championed the RAISE Act. Should it become law, the bill would establish America’s first set of legally mandated transparency standards for frontier AI labs.

The RAISE Act has some of the same provisions and goals as California’s controversial AI safety bill, SB 1047, which was ultimately vetoed. However, the co-sponsor of the bill, New York state Senator Andrew Gounardes, told TechCrunch in an interview that he deliberately designed the RAISE Act such that it doesn’t chill innovation among startups or academic researchers — a common criticism of SB 1047.

“The window to put in place guardrails is rapidly shrinking given how fast this technology is evolving,” said Senator Gounardes. “The people that know [AI] the best say that these risks are incredibly likely […] That’s alarming.”

The RAISE Act is now headed for New York Governor Kathy Hochul’s desk, where she could either sign the bill into law, send it back for amendments, or veto it altogether.

If signed into law, New York’s AI safety bill would require the world’s largest AI labs to publish thorough safety and security reports on their frontier AI models. The bill also requires AI labs to report safety incidents, such as concerning AI model behavior or bad actors stealing an AI model, should they happen. If tech companies fail to live up to these standards, the RAISE Act empowers New York’s attorney general to bring civil penalties of up to $30 million.

The RAISE Act aims to narrowly regulate the world’s largest companies — whether they’re based in California (like OpenAI and Google) or China (like DeepSeek and Alibaba). The bill’s transparency requirements apply to companies whose AI models were trained using more than $100 million in computing resources (seemingly, more than any AI model available today), and are being made available to New York residents.

While similar to SB 1047 in some ways, the RAISE Act was designed to address criticisms of previous AI safety bills, according to Nathan Calvin, the vice president of State Affairs and general counsel at Encode, who worked on this bill and SB 1047. Notably, the RAISE Act does not require AI model developers to include a “kill switch” on their models, nor does it hold companies that post-train frontier AI models accountable for critical harms.

Nevertheless, Silicon Valley has pushed back significantly on New York’s AI safety bill, New York state Assemblymember and co-sponsor of the RAISE Act Alex Bores told TechCrunch. Bores called the industry resistance unsurprising, but claimed that the RAISE Act would not limit innovation of tech companies in any way.

“The NY RAISE Act is yet another stupid, stupid state level AI bill that will only hurt the US at a time when our adversaries are racing ahead,” said Andreessen Horowitz general partner Anjney Midha in a Friday post on X. Andreessen Horowitz and startup incubator Y Combinator were some of the fiercest opponents to SB 1047.

Inside baseball policy thread: Last night, NY passed the RAISE act, which would establish some transparency requirements for frontier models. We @anthropicai haven’t taken a position on this bill. But I thought it’d be helpful to give some more context:

— Jack Clark (@jackclarkSF) June 13, 2025

Anthropic, the safety-focused AI lab that called for federal transparency sta n dards for AI companies earlier this month, has not reached an official stance on the bill, co-founder Jack Clark said in a Friday post on X. However, Clark expressed some grievances over how broad the RAISE Act is, noting that it could present a risk to “smaller companies.”

When asked about Anthropic’s criticism, state Senator Gounardes told TechCrunch he thought it “misses the mark,” noting that he designed the bill not to apply to small companies.

OpenAI, Google, and Meta did not respond to TechCrunch’s request for comment.

Another common criticism of the RAISE Act is that AI model developers simply wouldn’t offer their most advanced AI models in the state of New York. That was a similar criticism brought against SB 1047, and it’s largely what’s played out in Europe thanks to the continent’s tough regulations on technology.

Assemblymember Bores told TechCrunch that the regulatory burden of the RAISE Act is relatively light, and therefore, shouldn’t require tech companies to stop operating their products in New York. Given the fact that New York has the third largest GDP in the U.S., pulling out of the state is not something most companies would take lightly.

“I don’t want to underestimate the political pettiness that might happen, but I am very confident that there is no economic reason for [AI companies] to not make their models available in New York,” said Assemblymember Bores.

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Technology

LangChain is about to become a unicorn, sources say

LangChain, an AI infrastructure startup providing tools to build and monitor LLM-powered applications, is raising a new round of funding at an approximate $1 billion valuation led by IVP, according to three sources with knowledge of the deal.

LangChain began its life in late 2022 as an open-source project founded by Harrison Chase, who was then an engineer at machine learning startup Robust Intelligence. After generating significant developer interest, Chase transformed the project into a startup, securing a $10 million seed round from Benchmark in April 2023. That round was followed a week later by a $25 million Series A led by Sequoia, reportedly valuing LangChain at $200 million.

The startup was an early darling of the AI era. When LangChain first emerged, LLMs lacked access to real-time information and the ability to perform actions such as searching the web, calling APIs, and interacting with databases. The startup’s open-source code solved those problems with a framework for building apps on top of LLM models. It became a hugely popular project on GitHub (111K stars, over 18,000 forks).

The LLM ecosystem has since expanded significantly, with new startups including LlamaIndex, Haystack, and AutoGPT now offering comparable features. Furthermore, leading LLM providers including OpenAI, Anthropic, and Google have evolved their APIs to directly offer capabilities that were once key differentiators for LangChain’s core technology.

So the company has added other products, including LangSmith, a separate, closed-source product for observability, evaluation, and monitoring of LLM applications, specifically agents. This product has soared in popularity, multiple people tell us.

Since its introduction last year, LangSmith has led the company to reach annual recurring revenue (ARR) between $12 million and $16 million, four sources told TechCrunch. The company didn’t respond to a request for comment. Developers can start working with LangSmith for free and upgrade to $39 per month for small team collaboration features, according to the company’s website. LangChain also offers custom plans for large organizations.

Companies who use LangSmith include Klarna, Rippling, and Replit.

While LangSmith currently leads the burgeoning LLM operations space, it does have competitors like smaller, open-source Langfuse and Helicone. IVP declined to comment on this report.

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Technology

Nothing Phone (3) review | TechCrunch

Carl Pei led electronics manufacturer OnePlus from being a scrappy brand for tech enthusiasts offering affordable phones to one that produces multiple lines of devices, including flagship phones that challenge Samsung and Apple. He is running a similar playbook with Nothing, a five-year-old, venture-backed hardware startup that just launched its most ambitious device, the Phone (3), earlier this month. The phone, priced at $799, is intended to compete with devices from Samsung and Apple.

While OnePlus focused on providing value-for-money specifications and experience in its early days, Nothing focused on design and software as a differentiator to stand out from other phones. The startup produces eye-catching devices with a transparent design that draws attention.

As my former TechCrunch colleague Brian Heater said, Nothing Phone (1) was cool, and the Phone (2) was a robust mid-range device while maintaining the novelty. The Phone (3), while maintaining the transparent design ethos, invokes mixed emotions towards its design.

The phone has a lot of asymmetric elements on the back, including the strangely arranged camera module. If you look at the reactions on the internet, some people liked it because it is not like other phones, while some hated it. If you can get over the asymmetrical arrangement, you might like the device.

Nothing also took away the glyph LED arrangement that was prominent in previous Nothing phones. This arrangement made devices stand out even more when they illuminated to indicate an incoming call or a message. Over the years, the company made it more customizable, allowing you to assign different patterns for different contacts. It even created an SDK for developers, which didn’t take off.

CMC 6935 — Image Credits: Brian Heater/TechCrunchImage Credits:TechCrunch/Brian Heater

With Phone (3) the LED arrangement is substituted with Glyph Matrix, a circle-shaped second screen in the top right-hand corner to display more information. It can display basic information such as time and battery level when you press the button on the back.

The company has also included mini apps such as spin the bottle, a stopwatch, and rock, paper, and scissors. This is more of a fun gimmick that you might use to show off your phone.

IMG 2376 rotated — Image Credits: Ivan Mehta

A second screen on a device is not a new concept, and it doesn’t solve the problem of having to turn the phone to read the message. You can assign an emoji to a contact, but it just tells you that you got a message from that contact, but doesn’t tell you what it is. So you have to turn your phone on anyway. Is the matrix cool? Kind of. Is it useful? Not by much yet.

The company is inviting developers to build tools for it, which could improve things if there’s adoption.

Hardware and Camera

The company is using a Snapdragon 8s Gen 4 processor, built on a 4-nanometer architecture, which is a step below the Snapdragon 8 Elite used in the Galaxy S25, OnePlus 13, and Xiaomi 15 Ultra. However, in your day-to-day usage, that wouldn’t matter a lot.

The device also includes a 6.67-inch AMOLED screen with 1.5K resolution, which is protected by Gorilla Glass 7i instead of a stronger Gorilla Glass Victus. The screen is bright and has punchy colors. While it supports HDR for YouTube, Nothing said that Netflix hasn’t whitelisted its devices to run HDR content.

The Phone (3) features three 50-megapixel cameras for different purposes. The main camera has a 1/1.3-inch sensor, which is 20% bigger than Phone (2), at a f/1.68 aperture; the periscope telephoto lens offers 3x optical zoom, 6x in-sensor, and 60x digital zoom with AI Super Res Zoom; and the ultra-wide lens provides a 114-degree field of view. There’s also a 50-megapixel selfie camera with an f/2.2 aperture.

While Nothing claims that this phone is its “true flagship,” top-tier devices such as iPhones and Samsung Galaxy phones have achieved distinct camera quality with years of work. Nothing Phone (3) takes good photos, but color accuracy needs work to match other flagship phones. Plus, if the lighting was not ideal, the phone produced crushed shadows and overblown highlights in dark or bright areas of images.

The phone has a 5150mAh battery for international versions, which is good enough to last you a day of moderate to heavy usage. You can charge the device through 65W wired charging and 15W wireless charging.

AI features

Nothing debuted a customizable hardware key called the Essential Key with the Nothing Phone 3a and 3a Pro. This key ports over to the new flagship and opens up the Nothing Space app, which lets you save screenshots with notes. But strangely, you can’t save just notes.

The Shiny Key is the essential key. Image Credits: Ivan Mehta

The company is also debuting Essential search, which doubles up as an internet and web search using AI.

You can search for files and events by typing in keywords, or you can also ask a query like “Who won Wimbledon in 2024?” and then tap on the AI button to surface web results using Google’s Gemini models. This is akin to Apple integrating ChatGPT with Siri to search the web for certain queries.

Screenshot 8 Jul 2025 16 02 17 — What Essential Search Looks Like
Image Credits: Screenshot from TechCrunch

The phone also gets a meeting note transcriber, which records your meeting and also summarizes key points. You can trigger this by holding the Essential key and flipping the phone. You can double-press the Essential key to record a voice snippet with transcription. However, users don’t have a way to access these recordings and transcripts outside the Nothing phone, unless they explicitly export them.

In a chat with TechCrunch, CEO Pei said that smartphone is the best medium to distribute AI and the company wants to make AI features useful for users.

“We have to be really focused on building things [AI features] that are useful [for end users] and not just call our phones ‘Nothing AI phones’ with some having some image generation and call it a day,” he said. “[We are thinking about] how we can really leverage this new technology to help people. The idea is not to compete with people or to take their jobs away. How do we help people become better and also more creative?”

While this ambition is a good one to have, Nothing’s feature set, which also includes an AI-powered wallpaper generation tool, is in step with other phone makers.

Nothing’s positioning

Nothing is making the phone available through its website and Amazon in the U.S. In Canada, it’s partnering with Best Buy.

At $799, the device directly competes with the Samsung Galaxy S25, Google Pixel 9, and the iPhone 16. Since it is not being offered through wireless carrier bundles, the phone is still aimed at people buying unlocked phones and looking for alternatives to Samsung, Apple, and Google.

In India, the company’s biggest market, it is a different story since the phone starts at ₹79,999. Although the company offers discounts and exchanges, the prices are on par with or above the iPhone 16 and the Galaxy 25, depending on the seller. Initial reactions on social media suggested that the customers found the price high, which could impact the company’s sales.

Nothing has taken it upon itself to challenge Samsung and Apple of the world, but at the moment, rather than direct competition, the phone is a good, cheaper alternative to those devices.

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Technology

Meta reportedly recruits Apple’s head of AI models

Apple’s head of AI models, Ruoming Pang, is leaving the company to work at Meta, Bloomberg reported on Monday. This marks the latest high-ranking AI executive Meta CEO Mark Zuckerberg has scooped up to lead his new AI superintelligence unit.

Pang previously ran Apple’s in-house team that trained the AI foundation models that underpin Apple Intelligence and other on-device AI features, according to the report. Apple’s AI models haven’t exactly been a huge success — they’re far less capable than what OpenAI, Anthropic, and even Meta offer. Apple has reportedly even considered tapping third-party AI models to power its forthcoming AI-enabled Siri upgrade.

Sources told Bloomberg that Pang’s departure might be the first of many in Apple’s troubled AI unit.

Nevertheless, Pang could bring expertise in designing small, on-device AI models to Meta, joining an array of talent Zuckerberg has poached in recent months, including leaders from Google DeepMind, OpenAI, and Safe Superintelligence.