Looking for the most recent Wordle answer? Click here for today’s Wordle hints, as well as our daily answers and hints for The New York Times Mini Crossword, Connections, Connections: Sports Edition and Strands puzzles.

Today’s Wordle puzzle has a couple of rare letters in it. If you need a new starter word, check out our list of which letters show up the most in English words. If you need hints and the answer, read on.

Read more: New Study Reveals Wordle’s Top 10 Toughest Words of 2025

Today’s Wordle hints

Before we show you today’s Wordle answer, we’ll give you some hints. If you don’t want a spoiler, look away now.

Wordle hint No. 1: Repeats

Today’s Wordle answer has one repeated letter.

Wordle hint No. 2: Vowels

Today’s Wordle answer has two vowels, and then one of those is repeated, so you will see that one twice.

Wordle hint No. 3: First letter

Today’s Wordle answer begins with W.

Wordle hint No. 4: Last letter

Today’s Wordle answer ends with E.

Wordle hint No. 5: Meaning

Today’s Wordle answer can refer to forming fabric by interlacing long threads, perhaps on a loom.

TODAY’S WORDLE ANSWER

Today’s Wordle answer is WEAVE.

Yesterday’s Wordle answer

Yesterday’s Wordle answer, April 19, No. 1765, was STAND.

Recent Wordle answers

April 15, No. 1761: BEGUN

April 16, No. 1762: CUBIT

April 17, No. 1763: BELLE

April 18, No. 1764: TOADY

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.

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.

As someone who has worked from home for the last 15 years, there aren’t many things more frustrating than my internet connection going down in the middle of a workday. Sure, my kids act like it’s the end of the world when it happens after school, when they’re trying to unlock some forbidden fruit on Roblox or whatever, but that’s nothing compared to the internal rage I feel when I see my camera feed stuttering on a video call.

My current Internet Service Provider (ISP) has gotten more reliable, but there was a period of time when I’d complained about them so much on Twitter that I had four technicians and their boss randomly show up at my house, asking if they could run a brand new service line in a bid to fix my issues.

Despite the months-long feud between Anthropic and the Pentagon, the National Security Agency is using the AI company’s new Mythos Preview, according to Axios, which spoke to two sources with knowledge of the matter. Anthropic announced Mythos Preview at the beginning of April, describing it as a general-purpose language model that is “strikingly capable at computer security tasks.” But back in February, Trump ordered all government agencies to stop using Anthropic’s services after the company refused to budge on certain safeguards for military uses during contract talks.

The news comes days after Anthropic CEO Dario Amodei met with White House chief of staff Susie Wiles and other officials, reportedly to discuss Mythos. The White House later said the meeting on Friday was “productive and constructive,” though President Trump said he had “no idea” about it when asked by reporters, Reuters reports. According to Axios’ sources, the NSA is one of the roughly 40 organizations Anthropic gave access to Mythos Preview, and one said it’s “being used more widely within the department” too.

The company is still embroiled in a legal battle with the US government. Anthropic filed lawsuits against the Department of Defense in two courts in March after the Trump administration labeled it a “supply chain risk,” and the Pentagon filed a response shortly after. While Anthropic was granted a preliminary injunction by one court to temporarily block this designation, federal judges in the other denied its motion to lift the label.

Looking for the most recent Strands answer? Click here for our daily Strands hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections and Connections: Sports Edition puzzles.

Today’s NYT Strands puzzle offers an interesting mix of words, and they all begin with the same two letters. Some of the answers are difficult to unscramble, so if you need hints and answers, read on.

I go into depth about the rules for Strands in this story. 

If you’re looking for today’s Wordle, Connections and Mini Crossword answers, you can visit CNET’s NYT puzzle hints page.

Read more: NYT Connections Turns 1: These Are the 5 Toughest Puzzles So Far

Hint for today’s Strands puzzle

Today’s Strands theme is: Gloriously glaring!

If that doesn’t help you, here’s a clue: Shimmery.

Clue words to unlock in-game hints

Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints but any words of four or more letters that you find will work:

• TEAM, MATE, HATE, GATE, LIST, LISTEN, GLEE, LINT, CHEAT, HEAT

Answers for today’s Strands puzzle

These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers:

• GLOW, GLEAM, GLINT, GLITTER, GLISTEN, GLIMMER

Today’s Strands spangram

Today’s Strands spangram is CATCHTHELIGHT. To find it, start with the C that’s three letters to the right on the bottom row, and wind up.

A growing wave of online voices warning about the dangers of artificial intelligence—often dubbed “AI doom influencers” – is reshaping how the public and policymakers view the technology. According to a report by The Washington Post, these influencers, including researchers, tech leaders, and content creators, are increasingly highlighting worst-case scenarios, from mass job loss to existential risks posed by advanced AI systems.

While critics argue that some of this messaging borders on alarmism, the conversation is no longer confined to speculation. Real-world developments in AI are beginning to mirror some of the concerns being raised, blurring the line between hype and legitimate risk.

When Warnings Meet Reality

The rise of AI-focused fear narratives comes at a time when companies are rapidly advancing the capabilities of large language models and autonomous systems. These tools are already reshaping industries, automating tasks, and influencing decision-making at scale.

Adding to the urgency is the emergence of highly advanced systems like Anthropic’s experimental model, often referred to as “Mythos.” According to industry discussions, Anthropic has reportedly deemed the system too powerful for a full public release. Instead, access is being restricted to a small group of trusted partners, including defence and financial institutions, and even then, only with prior government approval.

This cautious rollout reflects growing concern within the industry itself. In the UK, reports suggest that government bodies have held internal meetings to assess the implications of such advanced AI systems. Canada has also issued statements acknowledging the potential risks associated with increasingly capable AI technologies.

In India, companies like Paytm’s parent entity and Razorpay have echoed similar concerns, describing the current moment as a potential turning point for how AI is governed and deployed.

Why The Debate Matters

The conversation around AI safety is no longer theoretical. For years, researchers have warned about risks such as bias, misinformation, loss of human control, and unintended consequences from highly autonomous systems.

What’s changing now is the scale and immediacy of these concerns. As AI systems become more powerful, the gap between research warnings and real-world applications is shrinking. This has given more weight to voices calling for caution, even if some messaging appears exaggerated.

At the same time, the rise of “doom influencers” highlights a broader issue: how to communicate risk responsibly without causing unnecessary panic.

What It Means For Users And Industry

For everyday users, the growing focus on AI risks may lead to more transparency, stricter regulations, and safer products in the long run. However, it could also slow down innovation or create confusion around what AI can and cannot do.

For companies and governments, the challenge lies in balancing progress with precaution. The restricted rollout of systems like Mythos suggests that even leading AI developers are grappling with this balance.

What Comes Next

As AI continues to evolve, discussions around safety, regulation, and ethics are expected to intensify. Governments may introduce stricter oversight, while companies could adopt more controlled deployment strategies for advanced systems.

The rise of AI doom narratives may be partly driven by fear, but it is also being shaped by real technological breakthroughs. The question now is not whether AI poses risks, but how those risks are understood – and managed – before the technology moves even further ahead.

When a drone beginner picks up the DJI Flip, priced at $299 after clipping the on-page coupon (was $439), and begins to get acquainted with it, word spreads quickly. The Flip gets that reputation by doing all the clever things that serve to shorten the learning curve while still producing footage that anyone would be glad to share immediately. Size and weight make an impression the moment you pick it up, as the whole thing weighs less than 249 grams even with the battery charged, which makes a big difference when you need to get somewhere, and at roughly 136 by 62 by 165 millimeters in its folded state, it shrinks down enough to fit into a jacket pocket or a small bag without drawing attention.

Safety features step up where they’re most required, namely for those who’ve never flown one of these things before. The full-coverage propeller shields fold down to protect each individual prop blade. They allow you to safely set the drone down on a palm for takeoff and landing, without fear of the spinning parts whacking a limb or bashing into something close. The forward and downward sensors keep an eye on what’s ahead and what’s below, then apply the brakes automatically if something gets too close, and it all works even on a cloudy day or during return to home flights, so confidence grows rather than dwindles when obstacles appear.

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The flight time is long enough to get out there and explore without fear of running out of juice. Under ideal conditions, a single charge can provide up to 31 minutes of continuous flight time. That gives you plenty of time to practice some basic tricks or chase a beautiful sunset without having to run back to the car to recharge, and hovering is really precise thanks to the satellite and vision systems, which keep the device fixed in place even in a mild breeze.

The camera is a pleasant surprise because it outperforms what you can expect from an entry-level device, as people frequently do. A 1.3-inch sensor can shoot 48-megapixel still images with incredible quality, even when cropped or printed. Video in 4K at 60 frames per second with strong dynamic range is a given, so brilliant skies and shaded ground appear natural. Slow-motion recordings can reach up to 100 frames per second in 4K for those instances when you want to emphasize a view of a wave or bird. A three-axis mechanical stabilizer ensures that every shot is absolutely level and smooth, regardless of how the drone moves.

Controls are extremely adaptable and can be changed to fit any level of competence. You may combine the drone with the provided remote controller and a smartphone to gain full manual control and a clear live view, but for total beginners, you can just launch it from your palm and utilize voice commands or the app for basic tracking. Subject following keeps the camera focused on a person or object, while the drone manages distance and framing, allowing you to simply enjoy the ride.

Storage and power management are quite well thought out, as they make the workflow super clean . You get 2GB of built-in capacity to store a few minutes of movie or a few extra photographs in case you forget to bring a memory card. Simply insert a larger one if you need additional space; it will not slow you down. With two batteries that can be charged simultaneously via a parallel hub, you can have a backup ready to go whenever you need it.