OpenAI researcher Miles Wang in talks to launch AI drug discovery startup valued at $2B


Miles Wang, an OpenAI researcher whose work includes using AI to accelerate scientific and biological discovery, is leaving the ChatGPT maker to launch a new startup focused on developing AI models for drug discovery, according to four people with knowledge of his plans. Several other OpenAI researchers are expected to join the new company.  

Wang is in talks to raise about $200 million at a $2 billion valuation, two of the people said. Lightspeed is in discussions to lead the funding round, according to sources. Talks are ongoing, the deal may not be final and details could change.

Wang disputed the story’s funding figures and description of the company but did not specify the correct numbers or details. Lightspeed didn’t respond to a request for comment.

The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences. Chai Discovery, a two-year-old startup developing AI models that can predict molecular interactions to identify new drugs, announced on Tuesday that it raised $400 million at a $3.8 billion valuation. (Co-founder Josh Meier also passed through OpenAI as a researcher.) Meanwhile, Google DeepMind spinout Isomorphic Labs, which also develops AI models for drug discovery, raised a $2.1 billion Series B in May.

Wang’s new startup may be working on AI models that will help find new uses for existing drugs and possibly those that previously failed in trials, a couple of sources told TechCrunch. Finding new uses for FDA-approved drugs can result in significantly faster time to revenue than developing new drugs from scratch, as these medicines have already been tested for safety.

Wang joined OpenAI in 2024 after dropping out from Harvard, where he was working on a bachelor’s degree in computer science. (In recent years, investors are once again comfortable betting on young founders who haven’t completed college.)

At OpenAI, he co-authored research papers, including evaluating how AI models can automate and accelerate scientific discovery.

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OpenAI bets on families as ChatGPT goes deeper into households


More than three years after ChatGPT’s launch brought generative AI into the mainstream, OpenAI is broadening its focus beyond individual users to families.

OpenAI is hiring a dedicated product manager in San Francisco to build experiences for families, caregivers, and older adults across its products. The role calls for experience building products for parents and families, and other trust-sensitive consumer experiences, according to the job posting.

The hiring comes as ChatGPT’s audience continues to broaden beyond younger users. According to Sensor Tower estimates shared exclusively with TechCrunch, the share of ChatGPT users aged 35 and older globally rose to 31% in Q2 from 26% a year earlier, while the share of users aged 18 to 24 fell to 29% from 34%. In the U.S., nearly one in four smartphone users who are parents used ChatGPT during the quarter, up from 16% a year earlier, the firm estimates.

OpenAI did not respond to requests for comment about the job posting.

A dedicated product role focused on families signals that OpenAI is beginning to think about its products less as tools for individual productivity and more as technology designed for households, said Ben Bajarin, chief executive of technology consultancy Creative Strategies.

“This is similar to the path Google, Apple, and Meta eventually followed as their platforms became embedded in everyday life, but AI raises the stakes because the assistant is not just mediating content or devices,” he told TechCrunch.

That shift also brings new trust and safety challenges. Stephen Balkam, chief executive of the Family Online Safety Institute, said the hiring reflects both the maturation of OpenAI and a growing recognition that AI products used by children and teenagers require different safeguards than those designed for adults.

“I see this as safety by redesign,” Balkam told TechCrunch. “You take the initial product or service that was released… not really with kids in mind… so this is a much-needed reaction and response.”

The comments come as new research published this week by the Family Online Safety Institute found that parents are underestimating how often their children use generative AI. While 27% of U.S. parents said their child had used generative AI in the past week, 38% of children reported doing so themselves, according to the survey of more than 4,000 families in the United States and Australia.

Balkam told TechCrunch that AI companies should build products differently for younger users, with stronger content controls, age-appropriate experiences, parental oversight, and reminders to inform users that they are interacting with an AI — and not a human.

Image Credits:Jagmeet Singh / TechCrunch

The hiring also comes amid growing scrutiny of how AI companies protect younger users. OpenAI has faced multiple lawsuits from parents alleging that ChatGPT contributed to harm suffered by their children, including in cases involving suicide.

In response to some of those concerns, OpenAI has introduced a series of safety measures over the past year, including parental controls for teen accounts, routing sensitive conversations to reasoning models designed to better handle signs of distress, and, more recently, an optional “Trusted Contact” feature that can alert a family member or caregiver in cases of potential self-harm.

AI companies, Balkam said, have an opportunity to avoid the mistakes made by social media platforms, which for years treated children much like adults before adding stronger safeguards amid mounting public pressure and regulatory scrutiny.

The hiring also aligns with OpenAI’s broader efforts around families. In a recent workshop organized with the San Antonio Spurs Community Impact organization and the Positive Coaching Alliance, the company said it aimed to explore AI’s role in learning, coaching, and youth engagement.

That said, the demographic shift is not unique to ChatGPT, though OpenAI’s audience is changing in some distinct ways.

Sensor Tower estimates that users aged 25 to 34 account for 40% of the global app audiences for Anthropic’s Claude and Google’s Gemini, matching ChatGPT, compared with 33% for Microsoft’s Copilot. Copilot, however, skews older, with 20% of its users aged 45 and above, compared with 14% for Claude, 12% for Gemini, and 11% for ChatGPT.

While ChatGPT remains relatively underpenetrated among older users, it is adding them faster than its rivals. The share of users aged 45 and above rose three percentage points year-over-year in the second quarter, compared with a two-point increase for Copilot and declines for Claude and Gemini, according to Sensor Tower.

Among U.S. smartphone users who are parents, Gemini had the widest reach at 32% in Q2, followed by ChatGPT at 24%, Claude at 4%, and Copilot at 2%.

For Bajarin, OpenAI’s decision to hire a product manager focused on families signals where consumer AI is headed. As AI becomes a technology shared across generations, he expects companies to roll out family plans, child and teen profiles, caregiver tools, shared household memory, AI tutoring, and stronger safety controls.

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OpenAI launches its new family of models with GPT-5.6


OpenAI unveiled its newest family of models on Thursday, introducing a new set of heavyweight programs into an increasingly crowded field of AI offerings.

GPT-5.6 comes in three variants: Sol (considered its workhorse), Terra (a more intermediate option), and Luna (its budget friendly option). These models expand what users can do across a variety of fields — with the company promising powerful capabilities in enterprise work, coding, and even scientific research.

CEO Sam Altman has promised that his company’s newest models are orders of magnitude more efficient and cost-effective than previous versions, recently telling CNBC that Sol is 54% more token efficient when it comes to AI coding tasks.

Most notably, the company calls 5.6 its “strongest cybersecurity model yet, achieving frontier performance with significantly fewer tokens.”

Indeed, much hubbub has been made about the model’s cyber capabilities, as the Trump administration previously sought to restrict its rollout, ostensibly due to fears of how the model could be misused. GPT-5.6 supports defensive activities, including threat modeling, code review and patching, and blue teaming (simulating an attack on your own systems to find weaknesses before real hackers do).

OpenAI also released a new tool called ChatGPT Work, which — just as it sounds — is designed as a workplace companion for enterprise teams, running on desktop, web, and mobile, that can help with daily clerical tasks, like drafting documents, spreadsheets, and presentations.

OpenAI’s newly announced family of models follows on the heels of similar releases this week from competitors SpaceXAI and Meta.

However, GPT-5.6 and its attendant marketing seems most designed to take aim at OpenAI’s primary opponent, Anthropic. Anthropic has managed to make itself the likable underdog of the AI race, focusing fixedly on enterprise customers and winning a growing share of support as a result.

Not to be outdone, OpenAI cites the Artificial Analysis Coding Agent Index, a notable benchmarking metric, to claim that its latest family of models outshines Anthropic’s models at every turn.

OpenAI calls Sol its “best coding model yet,” and has explicitly compared it to Anthropic’s recently released (and much hyped) Fable. Using the Coding Agent Index, OpenAI claims that Sol “sets a new state of the art at 80, 2.8 points above Fable 5, while using less than half the output tokens, taking less than half the time, and costing about one-third less.”

It adds: “That advantage extends across the family: Terra performs just above Fable 5, while Luna outperforms Opus 4.8.”

The company says that 5.6 is now available across ChatGPT, Codex, and the OpenAI API. Availability per million tokens is priced as follows: Sol is $5 input / $30 output, Terra is $2.50 input / $15 output, and Luna is $1 input / $6 output.

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OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks


OpenAI announced a new feature that it says will provide additional protection from prompt injection attacks, where malicious chatbot instructions are hidden in webpages and other content sources.

Among other things, Lockdown Mode will disable live web browsing (so you can only access cached content), the retrieval and display of images from the web (you can still generate images), deep research, and agent mode.

The company says that even with Lockdown Mode turned on, ChatGPT could still be vulnerable to prompt injections — which could, for example, “appear in cached web content or in an uploaded file, and could still affect the behavior or accuracy of a response.”

But the goal is to reduce the likelihood that sensitive data gets shared in the process.

“Lockdown Mode is not intended for everyone,” OpenAI says. “It is designed for people and organizations that handle sensitive data and want stricter protection from data exfiltration risks related to prompt injection.”

The company says it’s currently rolling Lockdown Mode out to self-serve ChatGPT Business accounts, as well as eligible personal accounts.

Greg Brockman Defends $30B OpenAI Stake: ‘Blood, Sweat, and Tears’


Two days before the Musk v. Altman trial began, Elon Musk asked OpenAI cofounder and president Greg Brockman about reaching a settlement. When Brockman suggested both sides drop their claims, Musk responded, “By the end of this week, you and Sam [Altman] will be the most hated men in America. If you insist, so be it.”

The message—which OpenAI’s lawyers made public on Sunday, and which Judge Yvonne Gonzalez Rogers subsequently refused to let the jury hear about—underscores what may be Musk’s larger goal in this trial. He appears to be trying to not only win over the jurors to potentially remove Brockman and CEO Sam Altman from power, but also stir up dirt on the two men and damage OpenAI’s public image.

As Brockman took the stand on Monday, Musk’s attorney Steven Molo quickly started questioning him about his compensation at OpenAI. Brockman revealed that his equity stake at OpenAI is currently worth more than $20 billion, and perhaps up to $30 billion. While Brockman initially promised to donate $100,000 to OpenAI when it was being set up, he said he ultimately never followed through.

Brockman has held a number of instrumental roles at OpenAI since he cofounded the company in 2015. In the startup’s early days, it operated out of his apartment in the Mission District of San Francisco. Today, he’s deeply involved with refocusing OpenAI on a few key products, such as Codex. In the past year, Brockman has also given millions to super PACs promoting AI and President Trump, and has previously said this increased political spending is related to OpenAI’s founding mission to create artificial general intelligence that benefits all of humanity.

In court on Monday, Molo tried to make the case that Brockman and Altman had essentially looted OpenAI’s original nonprofit, which Musk funded and helped create.

In its early days, OpenAI told investors and employees that its nonprofit mission took precedence over generating profit. Brockman testified that his financial interests are still, to this day, second to OpenAI’s nonprofit mission.

When OpenAI created its for-profit arm in 2019, which received assets from the nonprofit, Brockman testified that he was given a significant stake in the new entity. Early in OpenAI’s history, Brockman had referenced wanting to be a billionaire, writing in his personal journal, “Financially what will take me to $1B?”

On Monday, Molo pressed Brockman for several minutes about the vast wealth he had accumulated beyond his initial goal.

“Why not donate that $29 billion to the OpenAI nonprofit? Why didn’t you do that?” Molo asked. Brockman responded that he and others had poured “blood, sweat, and tears” into building OpenAI in the years since Musk left the company.

OpenAI’s foundation holds a stake of over $150 billion in the company, making it one of the richest nonprofits in history, Brockman said. That’s roughly five times Brockman’s ownership interest. Altogether, OpenAI employees hold about 25 percent of shares. The foundation has 27 percent. Brockman testified that OpenAI’s nonprofit had received less than $150 million from donors, implying Musk had been incidental to the company’s success and that the real drivers were those who stuck around to build out OpenAI.

Of course, Brockman’s stake in OpenAI could be worth much more than $30 billion if the company successfully goes public in the next two years. When asked whether OpenAI was exploring a potential IPO, Brockman said he believes so.

Here’s why ChatGPT kept talking about goblins for a while


ChatGPT on an Android phone held in the air by a man's hand with a bookshelf in the background.

Nathan Drescher / Android Authority

TL;DR

  • ChatGPT has been mentioning goblins unusually frequently for some time.
  • The mentions were seemingly caused by a training quirk for ChatGPT’s retired “nerdy” personality type.
  • A specific instruction in GPT-5.5 should tamp down on the inappropriate goblin mentions.

Earlier this week, a post on the ChatGPT subreddit pointed out an eyebrow-raising instruction in the system prompt for new GPT-5.5 model: an explicit restriction on mentioning goblins, gremlins, and trolls, among other things, unless strictly relevant to the query at hand. OpenAI’s addressed its recent models’ fascination with the creatures, and it turns out it’s mostly down to the chatbot’s former nerdy-style personality mode.

ChatGPT lets users choose from a number of preselected style and tone combinations, which OpenAI calls personalities. There are options to make the bot affect several personalities — professional, efficient, quirky — in its responses, including, at one time, one OpenAI wanted to be “unapologetically nerdy.” In a blog post, the company says that although that nerdy setting only applied to about one in 40 ChatGPT responses while it was available, it really liked talking about mythical creatures: two-thirds of all uses of the word “goblin” came from interactions in the nerdy style, which OpenAI retired last month.

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ChatGPT mentions of the word goblin apparently increased nearly 40-fold between GPT-5.2 and GPT-5.4. OpenAI says that in building out the its nerdy archetype, its engineers “unknowingly gave particularly high rewards for metaphors with creatures,” which led to that personality style referencing not only goblins, but also ogres, trolls, and gremlins much more often than you’d expect.

But because OpenAI started GPT-5.5’s training before it figured out why ChatGPT was talking so much about goblins, the behavior continued in testing, along with overuse of other “tic words” including raccoon and pigeon. In the end, the latest model ended up with specific instructions to avoid using these words unless absolutely necessary.

It’s troubling to know that widely distributed AI models can develop pervasive behavioral quirks that confuse even the engineers working on them, but at least this one in particular was relatively harmless.

If you’re a ChatGPT user, did you notice it talking about goblins more than it should have? If yes, has it stopped? Let us know about your experience in the comments.

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OpenAI’s Instructions to Codex Have a Weirdly Emphatic No-Creatures Policy



A document posted by OpenAI on Github as part of the open-sourcing for Codex CLI, OpenAI’s most recent flagship coding agent, contains what looks like the entire system prompt for GPT-5.5 in a coding context. And it seems to correct for the model’s past addiction to talking about whimsical creatures both natural and supernatural.

Here’s the relevant section (emphasis added):

“provide the highest-signal context instead of describing everything exhaustively.\n- Tone of your final answer must match your personality.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query.”

Evidently this point is so important, the developers bring it up again a bit later:

“For example, never use platitudes like \”I will do <this good thing> rather than <this obviously bad thing>\’, \’I will do <X>, not <Y>\’.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query.”

It’s not clear why this matters so much. If these were, for instance, canary words inserted into the system prompt as a way to monitor for prompt injection attacks, they would probably be more random, rather than seemingly a whole category of animals.

OpenAI did not reply to a request for comment on Tuesday night.

A Google employee named Barron Roth posted what appears to be a search of his chat logs with some of his GPT-5.5-powered Openclaw agents, showing that at least one had a history of inserting the word “goblin” into messages to the user multiple times in a single day. To my admittedly untrained eye, GPT-5.5 seems to be using it in place of a word like “thingy.”

Nick Pash, who works on Codex at OpenAI, partially confirmed that Roth had hit on the nature of the problem, writing to him on X “this is indeed one of the reasons.”

It looks like other X users also noticed that Codex had taken the goblin talk a little too far.

On Tuesday, this goblin issue became a meme, with users suggesting that some sort of “Goblin Mode,” could be toggled on and off.

Pash eventually added his own post about Goblin Mode:

If this is giving you flashbacks to a year ago when OpenAI was all about Studio Ghibli memes, you’re not alone. Some dared to assert that OpenAI might be doing all this goblin stuff for attention at what is, after all, a somewhat troubled moment for the company.

But according to another post by Pash, “it really isn’t a marketing gimmick.”



OpenAI’s existential questions | TechCrunch


OpenAI has been all over the news recently, whether that news is about acquisitions, competition with Anthropic, or bigger debates about AI’s impact on society.

On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”

First, with the team behind personal finance startup Hiro, the company may be hoping to  come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”

Read a preview of our conversation, edited for length and clarity below.

Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.

And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”

Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.

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Is running a tech talk show, should that really be on the to-do list?

Kirsten: No, this should not be on the to-do list. That’s it. 

I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”

This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.

Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.

I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.

But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.

One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?” 

The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.

And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week. 

I think those are two big existential problems that OpenAI is trying to solve right now.

Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.

It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?

Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity. 

And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise. 

Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.

Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.

Anthropic’s rise is giving some OpenAI investors second thoughts


OpenAI’s $852 billion valuation is facing skepticism from some of its own investors as the company scrambles to reorient itself around enterprise customers and fend off Anthropic, according to the Financial Times.

Anthropic’s annualized revenue jumped from $9 billion at the end of 2025 to $30 billion by the end of March, driven largely by demand for its coding tools. One investor who has backed both companies told the FT that justifying OpenAI’s round required assuming an IPO valuation of $1.2 trillion or more — making Anthropic’s current $380 billion valuation look like the relative bargain.

The secondary market tells a similar story right now, where demand for Anthropic shares has grown nearly insatiable while OpenAI shares are trading at a discount.

Altman has been here before. During his tenure leading Y Combinator, aggressive valuation inflation left some portfolio companies financially stranded while others proved worth every penny and then some.

OpenAI CFO Sarah Friar pushed back, telling the FT that the company’s $122 billion raise — the largest private fundraising in history — was evidence of continued investor confidence. Not everyone is persuaded. Jai Das, president of investment firm Sapphire Ventures (who has no stake in either company) told the FT he saw OpenAI as “the Netscape of AI,” a reference to the once-dominant browser that was overtaken by Microsoft and eventually absorbed by AOL.

Update: This piece has been updated to remove an investor quote published and later removed by the Financial Times.

Florida AG to probe OpenAI, alleging possible connection to FSU shooting


Florida Attorney General James Uthmeier announced on Thursday his office will investigate OpenAI for its alleged harm to minors, potential to threaten national security, and its possible link to a shooting that took place at Florida State University last year.

“ChatGPT may likely have been used to assist the murderer in the recent mass school shooting at Florida State University that tragically took two lives,” Attorney General Uthmeier said in a video posted to social media.

On the day of the FSU shooting last April, the suspect allegedly asked ChatGPT how the country would react to a shooting at FSU, and what time it would be busiest at the FSU student union. These messages could potentially be used as evidence against the suspect in an October trial about the shooting.

The attorney general cited further concerns about ChatGPT’s encouragement of suicide in certain instances, which have been documented in multiple lawsuits brought by families against OpenAI. He also mentioned his concern that the Chinese Communist Party could use OpenAI’s technology against the United States.

“As big tech rolls out these technologies, they should not — they cannot — put our safety and security at risk,” he said. “We support innovation. But that doesn’t give any company the right to endanger our children, facilitate criminal activity, empower America’s enemies, or threaten our national security.”

He also called on the Florida legislature to “work quickly” to protect children from the negative impacts of AI.

“Each week, more than 900 million people use ChatGPT to improve their daily lives through uses such as learning new skills or navigating complex healthcare systems,” an OpenAI spokesperson said in a statement to TechCrunch. “Our ongoing safety work continues to play an important role in delivering these benefits to everyday people, as well as supporting scientific research and discovery.”

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OpenAI added that it builds and continues to improve ChatGPT to understand user intent and respond in appropriate, safe ways. The company said it will cooperate with the Florida attorney general’s investigation.

On Wednesday, OpenAI unveiled its Child Safety Blueprint, which includes policy recommendations designed to improve children’s safety as it relates to AI.

This action comes as chatbot makers face pressure to confront their potential role in creating child sexual abuse material (CSAM). According to a recent report from the Internet Watch Foundation, there were over 8,000 reports of AI-generated CSAM in the first half of 2025, which represents a 14% increase year over year.

OpenAI’s blueprint recommends updating legislation to protect against AI-generated abuse material, refining the reporting process to law enforcement, and instituting better preventative safeguards against abusive uses of AI tools.