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NASA’s moon rocket is about to leave the launchpad, but it ain’t going skyward

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The four astronauts preparing to end a five-decade gap in crewed lunar flights will have to wait until at least April before they can begin the Artemis II mission.

During the SLS rocket’s second wet dress rehearsal last weekend, NASA discovered an issue with the flow of helium to the rocket’s upper stage.

Engineers decided that to fix the problem, the massive rocket, which is currently on the launchpad at the Kennedy Space Center in Florida, will have to be transported back to the Vehicle Assembly Building (VAB). That four-mile rollback to the VAB is expected to take place on Tuesday, February 24.

On Monday, NASA confirmed that as a result of the latest issue, the rocket will no longer be launching on the recently announced March 6 target date, adding that the Artemis II mission will now lift off “no earlier than April 2026.”

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NASA added: “The quick work to begin preparations for rolling the rocket and spacecraft back to the VAB potentially preserves the April launch window, pending the outcome of data findings, repair efforts, and how the schedule comes to fruition in the coming days and weeks.”

The Artemis II crew members — NASA’s Victor Glover, Reid Wiseman, and Christina Koch, along with the Canadian Space Agency’s Jeremy Hansen — left quarantine on Saturday evening and remain at NASA’s facility in Houston, Texas.

NASA originally targeted February 8 for the launch, but another issue in the first wet dress rehearsal prompted a delay, with NASA then announcing March 6 as a possible launch date. But that, too, has now been disregarded, with the team currently looking to launch in April.

The much-anticipated mission will involve the crew performing detailed tests on the Orion spacecraft’s systems while flying around the moon, with a smooth journey paving the way for a crewed lunar landing in the Artemis III mission, which could take place before the end of this decade.

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Interested in following the 10-day mission when it finally gets underway? NASA recently shared a fascinating video revealing exactly how the flight is expected to unfold.

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Spring Equinox Arrives Friday, Marking the Official End of Winter

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It’s been a long winter, but spring is close. On Friday, the vernal equinox arrives, signaling the astronomical start of spring (and the end of winter!) in the Northern Hemisphere. Though equinoxes might not get the same attention as solstices, they’re a lovely way to observe the shifting of the seasons. Let’s get to know the vernal equinox, what it is and why it happens.

When does the vernal equinox happen?

The spring equinox has a specific time, occurring at 10:46 a.m. ET/7:46 a.m. PT, on Friday, March 20.

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What is the spring equinox?

You’ve no doubt noticed the lengthening of daylight as winter winds down, especially with the time change this past weekend. The vernal equinox marks the tipping point into longer days.

The word “equinox” comes from the Latin words for equal and night. Daylight and night are roughly equal during the equinox. We experience two each year — the vernal equinox in the spring and the autumnal equinox in the fall. The word “vernal” traces to Latin and references spring. 

This National Weather Service graphic shows Earth’s tilt, how our planet orbits the sun and when the equinoxes and solstices occur in the Northern Hemisphere.

NWS/NOAA

The Earth spins on an axis (think of it like a line running from pole to pole) with a 23.5-degree tilt. Some parts of the planet get more direct sunlight than others. That’s how we get our seasons, and how it can be summer in the Northern Hemisphere while it’s winter in the Southern Hemisphere.

“The spring equinox is when the Northern Hemisphere transitions from being pointed away from the sun (during winter) to being pointed toward the sun (during summer),” says Emily Rice, associate professor of astrophysics at the Macaulay Honors College of the City University of New York. “The tilt is lined up with Earth’s orbit for just a moment.” That’s when we get nearly equal amounts of daylight and night.

How are equinoxes different from solstices?

Solstices are the extremes of days and nights. The summer solstice is the longest day, and the winter solstice is the shortest. In 2026, the summer solstice for the Northern Hemisphere occurs on June 21, and the winter solstice happens on Dec. 21.

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Solstices get more love than equinoxes. 

“The extremes are easier to mark and to visualize than the inflection points, which are more subtle changes, so the solstices get all the attention,” says Rice. All of them are related to Earth’s tilt and the sun, so think of solstices and equinoxes as siblings that each have their own seasonal connection.

What the equinox looks like from space

It can be challenging to visualize the Earth’s tilt and what happens during an equinox from down on the ground, so NASA put together a video showing the Earth as seen by a satellite.

It tracks our planet through its seasons. Watch how night and daylight shift over time.

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How to celebrate the spring equinox

Perhaps you’ve heard that the only day you can balance a raw egg on its end is on the equinox. This legend might be accompanied by some vague discussion points about Earth’s gravity and alignment and the sun. 

I balanced this egg on its end on a day that wasn’t the equinox.

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Amanda Kooser/CNET

One of Rice’s annual equinox duties is debunking the egg-balancing myth. 

“Astronomers are usually on the internet telling people that no, they can’t actually balance an egg on its end only on an equinox,” she said. You can go ahead and try it, but be sure to also test it out on a day that’s not the equinox. I pulled it off on Feb. 27, in case you’re wondering. 

An equinox is a subtle phenomenon. There are no showy celestial events to mark the day. Don’t let that deter you. The vernal equinox is what you make of it. 

“Considering that the Earth’s orbit doesn’t have a beginning or an end, a year could really be started any time, and the equinox is more astronomically meaningful than Jan. 1,” says Rice.

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You can come up with your own way to celebrate the occasion. Tell your friends and co-workers it’s the start of astronomical spring. Plant some seeds. Clean your house. Spend time outside. Make plans for spring break. And take a moment to toast the sun, the Earth’s tilt and our place in space that brings us the vernal equinox.

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Spigen Classic LS Turns Your AirPods Pro 3 Into a Retro Macintosh Mouse

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Spigen Classic LS AirPods Pro 3 Case
Spigen has created the Classic LS, a protective cover for the AirPods Pro 3, as a throwback to the classic 1980s Macintosh mouse. This accessory clips onto the charging case in two separate pieces, one fitting over the base and the other over the hinged lid. It comes in a stone color that’s nearly identical to the old-school beige tone. It retains the same shape as the original but adds a new layer of protection without affecting how the case opens or shuts in the least.



Fitting the case takes just a few seconds, and the lid opens just as smoothly as the original with no resistance or awkwardness. The USB-C port and status light are cleanly cut out and fully accessible, and wireless charging works without any issues.

Spigen Classic LS AirPods Pro 3 Case
There’s a fairly large grey button in the center of the mouse-like surface; press it, and the lid snaps shut, preventing accidental openings when the case rattles around in a bag or pocket. Let release of the button, and it swings open again. It’s a minor detail, but it completely alters how you use your AirPods on a daily basis, especially when you’re simply tossing the case into a pocket or backpack on your way to work.

Spigen Classic LS AirPods Pro 3 Case
The shell is built from a combination of polycarbonate and TPU, with extra impact protection reinforcing the corners and cushioning worked into the rest of the surface to handle everyday bumps and minor drops. The material holds up well against scratches too, so pulling it in and out of a pocket or bag repeatedly won’t leave it looking worn. Despite the added protection it stays slim enough to fit anywhere the original case would.

Spigen Classic LS AirPods Pro 3 Case
A lanyard attaches directly to the shell for easy carrying. It may be clipped around your wrist, to a backpack strap, or simply tucked into a pocket; it’s ideal when you’re tired of losing your earbuds at the bottom of a bag. The strap feels robust, and it integrates nicely with the classic aesthetic rather than standing out.

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Studying A Battle Born LFP Battery’s Death Under Controlled Conditions

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The test setup for the Battle Born LFP cycling. (Credit: Will Prowse, YouTube)
The test setup for the Battle Born LFP cycling. (Credit: Will Prowse, YouTube)

There has been quite a bit of news recently about the  Battle Born LiFePO4 (LFP) batteries and how they are dying in droves if not outright melting their plastic enclosures. Although the subsequent autopsies show molten plastic spacers on the bus bars and discolored metal in addition to very loose wiring, it can be educational to see exactly what is happening during repeated charge-discharge cycles at a fraction of the battery’s rated current. Thus [Will Prowse] recently sacrificed another Battle Born 75 Ah LFP battery to the Engineering QA Gods.

This time around the battery was hooked up to test equipment to fully graph out the charging and discharging voltage and current as it was put through its paces. To keep the battery as happy as possible it was charged and discharged at a mere 49A, well below its rated 100A.

Despite this, even after a mere 14 cycles the battery’s BMS would repeatedly disconnect the battery, as recorded by the instruments. Clearly something wasn’t happy inside the battery at this point, but the decision was made to push it a little bit harder while still staying well below the rated current.

This led to the observed failure mode where the BMS disconnects the battery so frequently that practically no current is flowing any more. Incidentally this is why you need to properly load test a battery to see whether it’s still good. In this failure mode there is still voltage on the terminals, but trying to pass any level of current leads to the rapid disconnecting by the BMS, even while as in this case the plastic spacer on the bus bar melts a little bit more.

Despite these very rapid disconnects and observed thermal issues, the BMS never puts the battery into any kind of safe mode as other LFP batteries do, leading to the melting plastic and other issues that have now been repeatedly observed. The discoloration of the battery terminals that originally started the investigation thus appears to be a result of higher charge currents and correspondingly higher temperatures.

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Worryingly, Battle Born recently put out a statement – addressed in the video – in which they completely disavow these findings and insist that there is no issue at all with these LFP batteries. Naturally, if you still have any Battle Born LFP installed, you really want to test them properly, or ideally replace them with a less sketchy alternative until some kind of recall is issued.

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Perplexity's new AI health feature includes Apple Health integration nobody should use

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AI firm Perplexity has launched its new health feature with Apple Health integration included. Save yourself trouble and aggravation later, and skip it.

Pink-to-red heart icon on a white rounded square background, with a red electrocardiogram heartbeat line running horizontally along the left and right edges
Apple Health can now be connected to Perplexity Health, but don’t do it.

The Perplexity Health feature was announced via a blog post that detailed what users can expect. That includes the many ways users are able to feed data into its AI model, including using their Apple Health data.
Alongside Apple Health, Perplexity’s “suite of connectors” can ingest data from big-name players in the health tech space, including Fitbit, Ultrahuman, and Withings. Oura, Function, and others are also present.
Continue Reading on AppleInsider | Discuss on our Forums

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This Was The Fastest-Selling Used Car In February 2026, According To iSeeCars

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These days buying a used car doesn’t signal quite the downgrade in overall quality that it might have in decades past. In fact, the modern used car market is often populated by a wide range of vehicles that may have rolled off of the production line less than a half-decade or so. That list includes even a handful of the more popular EVs available to consumers, and according to iSeeCars, one of them is the fastest-selling used car on the scene.

That vehicle is the Tesla Model X, according to the website, used models of the popular EV tend to spend fewer than 23 days on the used car market. That may be a touch surprising to some, because even as Tesla boasts three of the best-selling EV models in the new car market, the Model X is not one of them. Nonetheless, iSeeCars claims used car shoppers appear to be snatching up secondhand models of the Model X in under half the time (0.43x to be exact) as an average used car on the market.

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The Model X isn’t the only car selling well in the used auto market

Those sales figures are even more surprising since the Tesla Model X has developed a reputation for quality control issues in the past few years. So much so that, just a few years back, some industry experts were actively warning consumers to avoid buying that model even new. Despite the warnings, the Model X has still managed to become a favorite for used car shoppers. 

As it happens, the Model X is not the only Tesla that’s selling well in the used car sector. The Cybertruck slotted into third place on the iSeeCars tracker. Per that tracker, on average the Cybertruck spends just over 27 days on the used car market. That number puts it just behind the Mercedes-Benz EQS sport utility vehicle, which reportedly sells just about two times faster than average and spends just under 27 days on the market.

Slotting into fourth place on the iSeeCars used vehicle sales list is the sporty little Mazda MX-5 RF. According to the figures, secondhand models of the SlashGear Editor’s Choice Badge winning Miata tend to sell in a little under 30-days when they turn up on a used car lot. Rounding out the top 5 on the iSeeCars used car list is the Toyota GR Supra, with models spending about a month on the lot when they are up for grabs. Just for the record, if you see a Supra for sale, you may want to snatch it up faster, as Toyota has officially pulled the plug on that build. 

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Anthropic just shipped an OpenClaw killer called Claude Code Channels, letting you message it over Telegram and Discord

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The hit open source autonomous AI agent OpenClaw may have just gotten mogged by Anthropic.

Today, Anthropic announced Claude Code Channels, a way to hook up its own powerful Claude Code AI agentic harness to a human user’s Discord or Telegram messaging applications, letting them message Claude Code directly whenever they want while on the go and instruct it to write code for them. Official documentation is here.

This isn’t just a new UI; it is a fundamental shift in how developers interact with AI agents, moving from a synchronous “ask-and-wait” model to an asynchronous, autonomous partnership. Previously, Claude Code users were stuck interacting with the agentic harness on the Claude desktop application, terminal or supported developer environment, and Claude mobile app through a somewhat flaky (in my experience) interconnection setting called Remote Control.

Now, Anthropic is offering some of the same core functionality as OpenClaw that drove its rapid adoption among software developers and vibe coders following its release in November 2025 by Austrian developer Peter Steinberger (who, ironically, originally called his project “Clawd” in honor of Anthropic’s own AI model Claude which powered it initially, until Anthropic sent him a cease-and-desist for potential trademark violations. Steinberger was since hired by Anthropic’s rival OpenAI.)

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Central to OpenClaw’s appeal was its capability of allowing users to have a persistent, personal AI worker that they can message 24/7, whenever they feel like, over common messaging apps such as iMessage, Slack, Telegram, WhatsApp and Discord, and have their AI message them back — not just to chat with, but to perform real work for them on its own, from writing, sending and organizing email and files to creating whole applications, applying for jobs on the user’s behalf, to managing complete ongoing social marketing campaigns. When the AI finishes a task, it can immediately alert the human user over their preferred messaging platform.

But OpenClaw also came with a high degree of security risk (since it could be given access to a user’s hard drive and file system, or other personal information, and run amok) and difficulty for non-technical users, inspiring a wave of offshoots promising greater ease and security, including NanoClaw, KiloClaw and Nvidia’s recently announced NemoClaw.

By giving Claude Code this same basic functionality — the ability for users to message it from popular third-party apps Discord and Telegram, and have it message them back when it finishes a task — Anthropic has effectively countered OpenClaw’s appeal and offered something it does not: the Anthropic brand name with its commitment to AI security and safety, and ease of use right out of the box for less technically inclined users.

Technology: The Bridge of the Model Context Protocol

At the heart of this update is the Model Context Protocol (MCP) open source standard that Anthropic introduced back in 2024. Think of MCP as a universal USB-C port for AI: it provides a standardized way for an AI model to connect to external data and tools. In the new “Channels” architecture, an MCP server acts as a two-way bridge.

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When a developer starts a Claude Code session with the --channels flag, they aren’t just opening a chat; they are spinning up a polling service.

Using the Bun runtime—known for its extreme speed in executing JavaScript—Claude Code monitors specific plugins (currently Telegram and Discord).

When a message arrives, it is injected directly into the active session as a event. Claude can then use its internal tools to execute code, run tests, or fix bugs, and reply back to the external platform using a specialized reply tool.

The technical achievement here is persistence. Unlike a standard web-chat that times out, a Claude Code session can now run in a background terminal or a persistent server (like a VPS), waiting for a “ping” to spring into action.

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How to set up Claude Code Connectors on Telegram and Discord

Setting up these native connectors requires Claude Code v2.1.80 or later and the Bun runtime installed on your desktop PC or Mac. Follow the instructions here or below.

1. Setting up Telegram

  1. Create your Bot: Open BotFather in Telegram and use the /newbot command to generate a unique bot and access token.

  2. Install the Plugin: Inside your Claude Code terminal, run: /plugin install telegram@claude-plugins-official

  3. Configure the Token: Run /telegram:configure to save your credentials.

  4. Restart with Channels: Exit Claude and restart using the channel flag: claude --channels plugin:telegram@claude-plugins-official

  5. Pair your Account: DM your new bot on Telegram to receive a pairing code, then enter it in your terminal: /telegram:access pair

2. Setting up Discord

  1. Create an Application: Go to the Discord Developer Portal, create a “New Application,” and reset the bot token to copy it.

  2. Enable Intents: In the Bot settings, you must enable Message Content Intent under “Privileged Gateway Intents.”

  3. Install and Configure: In Claude Code, run /plugin install discord@claude-plugins-official followed by /discord:configure .

  4. Launch and Pair: Restart with claude --channels plugin:discord@claude-plugins-official. DM your bot on Discord and use the /discord:access pair command to finish the link.

Product: From Desktop to “Everywhere”

The immediate practical impact is the democratization of mobile AI coding. Previously, if a developer wanted to check a build status or run a quick fix while away from their desk, they had to rely on complex self-hosted setups like OpenClaw.

With Channels, the setup is native. A developer can create a Telegram bot via BotFather, link it to Claude Code with a /telegram:configure command, and “pair” their account with a security code. Once configured, the phone becomes a remote control for the development environment.

The product also introduces a “Fakechat” demo—a local-only chat UI that allows developers to test the “push” logic on their own machine before connecting to external servers. This reflects Anthropic’s cautious, “research preview” approach, ensuring developers understand the flow of events before exposing their terminal to the internet.

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Licensing: Proprietary Power on Open Standards

The licensing implications of this release highlight a growing trend in the AI industry: proprietary engines running on open tracks. Claude Code remains a proprietary product tied to Anthropic’s commercial subscriptions (Pro, Max, and Enterprise).

However, by building on the open-source Model Context Protocol, Anthropic is encouraging a developer ecosystem to build the “connectors” that make their model more useful.

While the core Claude “brain” is closed, the plugins for Telegram and Discord are being hosted on GitHub under official Anthropic repositories, likely allowing for community contributions or forks.

This strategy allows Anthropic to maintain the security and quality of the model while benefiting from the rapid innovation of the open-source community—a direct challenge to the “free” but often fragmented nature of purely open-source agent frameworks.

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And because it’s built on MCP, the community can now build “Connectors” for Slack or WhatsApp themselves, rather than waiting for Anthropic to ship them.

Community Reactions: ‘The OpenClaw Killer’

The response from users, especially AI observers on X, was swift and definitive. The sentiment was best captured by Ejaaz (@cryptopunk7213), who noted that Anthropic’s speed of shipping—incorporating texting, thousands of MCP skills, and autonomous bug-fixing in just four weeks—was “fucking crazy.”

For many, this update renders local-first agent frameworks obsolete. BentoBoi (@BentoBoiNFT) observed, “Claude just killed OpenClaw with this update. You no longer need to buy a Mac Mini. I say this as someone who owns a one lol,” referring to the common practice of developers buying dedicated hardware to run open-source agents like OpenClaw 24/7. By moving this persistence into the Claude Code environment, Anthropic has simplified the “hardware tax” for autonomy.

AI YouTuber Matthew Berman summarized the shift succinctly: “They’ve BUILT OpenClaw.”

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The consensus among early adopters is that Anthropic has successfully internalized the most desirable features of the open-source movement—multi-channel support and long-term memory—while maintaining the reliability of a tier-one AI provider.

While Anthropic’s Claude has long been a favorite for its reasoning, it remained a “brain in a jar”—a stateless entity that waited for a user to type before it could think. Meanwhile, open-source projects like OpenClaw thrived by offering “always-on” persistence, allowing developers to message their AI from Telegram or Discord to trigger complex workflows.

Now, with Anthropic closing the gap, it’s up to the users to choose which approach is best for them.

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Today’s NYT Mini Crossword Answers for March 20

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


Need some help with today’s Mini Crossword? I had to jump between the ACROSS and DOWN clues in order to solve them all, because some answers came to me easily and others … not so much. Read on for all the answers. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.

If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.

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Read more: Tips and Tricks for Solving The New York Times Mini Crossword

Let’s get to those Mini Crossword clues and answers.

completed-nyt-mini-crossword-puzzle-for-march-20-2026.png

The completed NYT Mini Crossword puzzle for March 20, 2026.

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NYT/Screenshot by CNET

Mini across clues and answers

1A clue: Cable channel that airs March Madness games
Answer: TBS

4A clue: Rapper with the 2026 #1 album “The Fall-Off”
Answer: JCOLE

6A clue: Review thoroughly, as taxes
Answer: AUDIT

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7A clue: “Darn it!”
Answer: CRAP

8A clue: Annoying things to realize you’ve left in the house
Answer: KEYS

Mini down clues and answers

1D clue: Yesterday, tomorrow
Answer: TODAY

2D clue: Radar screen dots
Answer: BLIPS

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3D clue: “On your marks … get ___ …”
Answer: SET

4D clue: Playing card historically called a knave
Answer: JACK

5D clue: Medical success
Answer: CURE

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Prediction Markets Promised Better Information. Instead They’re Creating Powerful Incentives to Corrupt Information.

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from the did-anyone-bet-i-would-write-this? dept

There’s a concept in economics known as Goodhart’s Law, often summarized as: “When a measure becomes a target, it ceases to be a good measure.” The idea, originally about monetary policy, has proven remarkably durable across domains. When you attach high enough stakes to a single metric, people stop trying to accurately reflect reality and start trying to game the metric. Schools teach to the test. Banks shuffle risk off their balance sheets to hit capital ratios. Hospitals reclassify patients to improve their reported outcomes.

Prediction markets were supposed to be immune to this. The whole pitch — the reason people like me found them conceptually interesting for years — was that because participants are putting real money on the line, they’d have powerful incentives to seek out and act on true information. Financial stakes, the theory went, would filter out noise and bullshit and produce a hopefully decently accurate signal about the probability of real-world events. The wisdom of crowds, sharpened by the discipline of the wallet.

What most people didn’t think through was the obvious corollary: what happens when you attach $14 million in stakes to a 150-word blog post by a war correspondent, and the gamblers decide it’s cheaper to threaten the journalist than to accept they made a bad bet?

Emanuel Fabian, a military correspondent for The Times of Israel, published an extraordinary account of what happened after he filed a routine item on March 10 about an Iranian ballistic missile striking an open area outside Jerusalem. No one was injured. It was, in the context of an ongoing war, a minor event. He reported it accurately and moved on.

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Then the Polymarket bettors found him.

It turns out that more than $14 million had been wagered on a Polymarket bet titled “Iran strikes Israel on…?” with a clause specifying that intercepted missiles wouldn’t count. Fabian’s report — confirming that a missile warhead had actually impacted the ground — was standing between a lot of gamblers and a lot of money. And so began one of the most deranged campaigns of harassment against a journalist ever (and I’ve seen some pretty crazy campaigns against journalists).

It started with polite-sounding emails. A guy named “Aviv” writing in Hebrew, suggesting Fabian’s report didn’t “reflect reality.” Then “Daniel,” a day later, with the same question and a thinly veiled threat:

“Sorry for reaching out without a prior introduction, but I assume we will get to know each other well,” he wrote, in a somewhat threatening manner.

“I have an urgent request regarding the accuracy of your report on the missile attack on March 10. I would really appreciate a response if possible. There is an inaccurate report from you about the missile attack on March 10, and it’s causing a chain of errors,” Daniel’s email continued.

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“If you could reply to me tonight… you would be helping me, many others, and, of course, the State of Israel. And along the way, you would gain a good source.”

When Fabian didn’t comply, the messages kept coming across every possible channel — email, WhatsApp, Discord, X. Someone fabricated a fake screenshot showing Fabian had agreed to change his story (which he most certainly had not), then circulated it on social media to pressure him further. Someone he knew from another news org even contacted him to say an acquaintance was asking him to convince Fabian to alter the report — and when confronted, that acquaintance admitted he was betting on Polymarket and offered to share winnings if the other journalist could get Fabian to change the story.

And then it got genuinely terrifying. After a quiet weekend, someone calling himself “Haim” started sending WhatsApp messages shortly after midnight:

“You have exactly half an hour to correct your attempt at influence,” he wrote.

“Despite the fact that you received countless inquiries — you insist on leaving it that way.”

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“If you do not correct this by 01:00 Israel time today, March 15, you are bringing upon yourself damage you have never imagined you would suffer,” he threatened, in a very lengthy message.

And “Haim” kept escalating:

“You have no idea how much you’ve put yourself at risk. Today is the most significant day of your career. You have two choices: either believe that we have the capabilities, and after you make us lose $900,000 we will invest no less than that to finish you. Or end this with money in your pocket, and also earn back the life you had until now.”

After I didn’t respond, as I was asleep, Haim sent me another series of messages: “You are choosing to go to war knowing that you will lose your life as you’ve grown accustomed to it — for nothing.”

On Sunday morning, he messaged me again: “You have exactly a few hours left to fix your attempt at influencing [the market]. It would be stupid of you to ignore this.”

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In short, people who made a bad gambling bet on a prediction market are threatening to kill a war correspondent because his accurate reporting is inconvenient for their wager. They referenced his home neighborhood, his parents, his siblings. They gave him countdown timers. Someone called him pretending to be a lawyer investigating him for “market manipulation.”

“If you decide to go with your ego and not with your head, you are leaving behind dozens of wealthy people from all over the world who will know that you performed market manipulation and stole from them. They know who you are, you don’t know who they are. It took them less than 5 minutes to find out exactly where you live … how often you see your lovely parents … and exactly who your … brothers and sisters are.”

Fabian reported it all to the police. The threats stopped almost immediately after he went public.

In an interview with Charlie Warzel at The Atlantic, Fabian described the thing that should concern us all: there was a moment, however brief, where the pressure almost worked:

Warzel: Did you ever think about changing the story?

Fabian: For a split second I did. I thought maybe I could be wrong.

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Warzel: Like, doubting your reporting? After all, you’re making those calls based on other witnesses and videos online.

Fabian: I went and checked again with the military. It was a short item, but I reviewed footage of a large explosion. I had eyewitness accounts—people in the area who saw this massive explosion. And then I thought to myself, Why am I doing this? Triple-checking this minor incident, bothering the military again over an explosion in the woods? I did the reporting, and this was the judgement call I made. I think it was accurate, and I will leave it at that. I don’t need to doubt myself about what I published, especially because this is not something that anyone normally would care about unless they had a financial stake in the outcome. As an event in this war, it is not particularly newsworthy. This missile exploded in an open area. It’s 150 words in the live blog.

Fabian held the line — but here’s a journalist who covers an active war zone, confirmed his reporting with military sources, reviewed video footage of an explosion, and still briefly questioned his own accurate reporting because a bunch of gambling addicts wouldn’t stop threatening him. And he’s self-aware enough to recognize what that means going forward:

Warzel: Do you think this fiasco will stick in the back of your mind as you continue to report on the war?

Fabian: Yes. I think it already has. Since then, whenever I report on something, I feel it in the back of my head: What if the Polymarket bettors are betting on this tweet? Or on whether I’m giving an interview about Polymarket? I’m not obsessing over it. Hopefully I won’t get threatened again. But the thought is there.

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So much for prediction markets producing more accurate information. What they produced here was a chilling effect on a journalist who was already telling the truth.

And what guarantee do we have that the next journalist faced with similar pressure will be as willing as Fabian to tell the gamblers to fuck off?

This was always going to happen. Not the specific details — nobody could have predicted that a 150-word liveblog item about a missile in a forest would become a $14 million flashpoint — but the general shape of it was entirely predictable. We’d already seen shades of this in sports betting (which is just prediction markets for sports). Athletes have been dealing with a steadily escalating campaign of harassment from bettors who feel personally wronged when a player doesn’t perform to their parlay’s specifications.

Now scale that dynamic up from “some guy lost his parlay on a golf tournament” to “$14 million riding on whether a missile was intercepted during a shooting war,” and you can see exactly where this goes. The stakes get higher, the targets get more consequential, and the threats get more serious. Going from Venmo requests to death threats against war correspondents is an escalation, sure, but it’s an escalation along a perfectly predictable trajectory.

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And while I opened this talking about Goodhart’s law, this is clearly worse: in the classic case, people game the metric by finding clever workarounds. They don’t usually try to put a gun to the metric’s head. But when the “metric” is a human being — a journalist, an athlete, anyone whose actions or reporting can move a market — the incentive to game the system becomes an incentive to coerce, threaten, bribe, or fabricate. It is not just (as in Goodhart’s formulation) about someone “making a measure into a target.” Someone showed up at the measure’s house and threatened its family.

Polymarket, for its part, issued a statement condemning the threats and saying it had “banned the accounts for all involved & will pass their info to the relevant authorities.” Bit late for that. The company also said, with apparently zero self-awareness, that “prediction markets depend on the integrity of independent reporting.”

They’re acknowledging that journalists are functionally the oracles their entire market depends on. Which means journalists are “targets” by design. The market’s resolution mechanism requires someone external who has no relationship to Polymarket to report accurately on real-world events, and the market’s financial incentives create enormous pressure to corrupt that reporting. The company has built a system that depends on a thing it simultaneously makes harder to do.

In short: the company that built a system on claims of more accurate information is creating powerful incentives for people to falsify it.

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Fabian raised another point in his interview with Warzel that goes beyond the harassment and into something potentially far more worrisome:

Fabian: I think there is a big risk of journalists using insider information to place a correct bet and win. I can tell you as a military correspondent that I’m exposed to confidential information that we can’t report. Now there are ways to exploit that. It wouldn’t surprise me if others have.

He’s right to worry. Last month, an Israeli military reservist and a civilian were indicted for using classified information to place bets ahead of Israel’s war with Iran. Prediction markets create a mechanism for anyone with privileged information — journalists, military personnel, government officials — to monetize that knowledge without ever publishing it.

And the thing is, supporters of some of these markets argue that’s the whole point. Because people with insider information will bet, they believe that the markets will provide the public better information. But it also creates ridiculously perverse incentives for extraordinarily bad behavior. And the legal system is just starting to wrap its head around these things (for example, also this week, Arizona criminally charged Polymarket’s main competitor, Kalshi, with illegal gambling).

As Fabian put it, when Warzel asked whether prediction market companies actually want to combat insider trading:

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Fabian: I don’t think they really want to combat insider trading. What I’ve heard is that those who bet on Polymarket either know the right answer or are wasting their money.

So the incentive structure of prediction markets simultaneously encourages harassment of the people whose reporting the markets depend on, creates a pipeline for insider trading by anyone with privileged information, and — as Fabian’s case demonstrates — can literally cause a journalist to momentarily doubt his own accurate reporting because the financial pressure to be wrong is so overwhelming.

I’ll admit that I was once genuinely intrigued by the concept of prediction markets. The original pitch was compelling: because people have skin in the game, real information should flow into these markets more efficiently than it flows through, say, punditry or polling. And we all know how weak punditry and polling has been of late.

In theory, this idea of “skin in the game” leading to better information makes some sense. In practice, what we’ve gotten is a bunch of speculative nonsense driven by get-rich-quick bros who, when their bets go south, feel entitled to threaten the life of a war correspondent covering missile strikes. The theory assumed that financial stakes would incentivize finding accurate information. What it failed to account for is that, for many participants, it’s easier and cheaper to try to falsify the information than to accept a loss.

Fabian’s advice for other journalists who might find themselves in this situation was to follow in his footsteps of going public:

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Warzel: Do you have advice for other journalists who may experience this type of betting-market harassment in the future?

Fabian: Go public. Don’t let the threats force you to change anything. Be honest. I think that’s the best way. It’s a bit stupid of these people to publicly intimidate somebody who can go and instantly tell 100,000 people what these gamblers are doing. That’s my advice. Because if you were to accept money or change your reporting, who knows how these people might extort you later on. If you change your reporting, it’ll be a mess forever.

That’s good advice. But he also pointed out the obvious problem: not every journalist will say no. Not every journalist will have the resources, the platform, or the institutional backing to withstand this kind of pressure. And as prediction markets grow and attach ever-larger sums to ever-more-consequential events, the pressure will only increase.

We’ve built a system where people can wager millions on the outcomes of wars, and then express shock when they treat the people reporting on those wars as obstacles to be eliminated. We’ve created financial instruments that depend entirely on the integrity of vastly underpaid independent journalism while simultaneously giving millions of strangers a direct financial incentive to destroy that integrity.

That seems bad.

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And the platforms facilitating all of this respond with a press statement and a few banned accounts, as if the problem is a handful of bad actors rather than the fundamental architecture of what they’ve built.

Prediction markets were supposed to be information-discovery mechanisms. When you let people bet millions of dollars on whether missiles hit their targets, what you actually get is a threat-discovery mechanism aimed at the people trying to tell the truth.

As Fabian told Warzel: “This is war, not a game.”

Unfortunately, someone went ahead and turned it into both. And poured a ton of money into it.

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Filed Under: gambling, information, journalism, prediction markets

Companies: kalshi, polymarket

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OpenAI is putting ChatGPT, its browser and code generator into one desktop app

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OpenAI is developing a “super app” for desktop that unifies ChatGPT, its browser and its Codex app, according to the Wall Street Journal and CNBC. A company spokesperson told the publications that OpenAI Chief of Applications Fidji Simo will lead the application revamp with assistance from OpenAI President Greg Brockman. Simo will also help the marketing team advertise the app when it comes out. OpenAI’s leadership is apparently hoping that combining several products can help it streamline user experience and dedicate its resources to one project.

The company has yet to make an official announcement about the new app, but Simo replied to the Journal piece’s author on X. “Companies go through phases of exploration and phases of refocus; both are critical,” Simo said. “But when new bets start to work, like we’re seeing now with Codex, it’s very important to double down on them and avoid distractions. Really glad we’re seizing this moment.”

The Journal saw the internal note Simo sent to employees, wherein she said that the company realized it was spreading its efforts across too many apps and that it needed to simplify its efforts. “That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” she reportedly wrote. In an all-hands meeting, CNBC said she also told employees that the company was “orienting aggressively” towards high-productivity use cases.

It’s not clear yet when the unified app will be available, but OpenAI is reportedly focusing on developing agentic AI capabilities for it. The agents will be able to make decisions and use tools to do tasks on computers, such as writing software or analyzing data, with little human oversight.

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AirPods Pro 3 fall to a record low, making Apple’s top tier earbuds surprisingly affordable

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Still using older earbuds that struggle with noise, battery life, or overall sound quality, especially during commutes or workouts where it matters most? This drop makes upgrading feel far more reasonable without jumping into overly expensive territory.

If that sounds familiar, the AirPods Pro 3 are now £184, down from their usual £219 retail price with JoyBuy, knocking £35 off and making them a much easier upgrade to justify if you have been holding onto an older pair.

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AirPods Pro 3 fall to a record low, making Apple’s top tier earbuds surprisingly affordable

AirPods Pro 3 hit a new all‑time low, bringing Apple’s premium earbuds down to a surprisingly accessible price

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Apple continues to push audio quality forward in the 5-star Airpods Pro 3, with improved acoustic design that delivers deeper bass, clearer vocals, and a more immersive overall sound that feels noticeably richer across different genres and content.

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Active Noise Cancellation remains a standout, cutting out more background noise so you can stay focused whether you are travelling, working, or simply trying to enjoy music without distractions.

There is also a stronger emphasis on personalisation, with Adaptive EQ adjusting sound in real time based on your ear shape and fit, helping maintain consistent audio quality without manual tweaking.

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Battery life holds up well for daily use, offering up to eight hours of listening with noise cancellation enabled, with additional hours available through the charging case for longer sessions on the go.

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Apple has also expanded functionality beyond audio, with built in heart rate tracking for workouts and features like Live Translation, which reflect a broader push toward smarter, more integrated wearable experiences.

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The fit has been refined with more ear tip options, helping create a more secure and comfortable seal that improves both noise isolation and overall listening performance during longer use.

Seamless integration across Apple devices remains one of the biggest strengths, with automatic switching and easy pairing that make these feel like a natural extension of the wider ecosystem.

At this price, the AirPods Pro 3 feel far less like a luxury pick and more like a practical upgrade for anyone who wants strong noise cancelling, smart features, and consistently high quality sound in one compact package.

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We even flagged it as the best Airpods Pro 3, in our best wireless headphones buying guide.

There are many welcome upgrades here, from battery life to improved sound and more capable ANC. But, for me, the addition of a heart rate monitor and the far more comfortable fit are the big reasons to plump for the AirPods 3.

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  • Better fit thanks to subtle design tweaks

  • Improved battery life, sound and ANC

  • The HRM is such a great addition, and it’s very accurate

  • Many of the best features require an iPhone

  • Minimal customisation available if the audio isn’t to your taste

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