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At a glance

• AI agents are moving into social contexts. When agents manage calendars, negotiate purchases, or interact with other agents on a user’s behalf, they need more than task competence—they need social reasoning.
• SocialReasoning-Bench evaluates that ability. The benchmark tests whether an agent can negotiate for a user in two realistic settings: Calendar Coordination and Marketplace Negotiation. 
• The benchmark measures both outcomes and process: it scores agents on outcome optimality (how much value they secure for the user) and due diligence (whether they follow a competent decision-making process). 
• Current frontier models often leave value on the table. They usually complete the task, but they frequently accept suboptimal meeting times or poor deals instead of advocating effectively for the user. 
• Prompting helps, but it is not enough. Even with explicit guidance to act in the user’s best interest, performance remains well below what a trustworthy delegate should achieve.

As AI agents take on more real-world tasks, they are increasingly operating in social contexts. With the right integrations, agents like Claude Cowork and Google Gemini can manage email and calendar workflows. In these settings, the agent must interact with others on your behalf. This requires social reasoning — understanding what you want, what the counterparty wants, and what information to reveal, protect, or push back on.

Our previous research suggests that today’s frontier models lack social reasoning. In our simulated multi-agent marketplace, agents accepted the first proposal they received up to 93% of the time without exploring alternatives. When red-teaming a social network of agents, a single malicious message spread through the system and led agents to disclose private data before passing the message along.

This kind of relationship has a long history outside AI. In economics and law it is called a principal-agent relationship: an agent acts on a principal’s behalf in interactions with others whose interests differ. Attorneys, real-estate agents, and financial advisors all operate in this mode, and the duties they owe—care, loyalty, confidentiality—are codified in centuries of professional norms. AI agents acting on a user’s behalf should ultimately be held to similar standards.

To measure and drive progress in social reasoning, we built SocialReasoning-Bench:  a benchmark for testing whether agents can reason and negotiate on a user’s behalf against a counterparty with independent goals, private information, and potentially adversarial intent.

Introducing SocialReasoning-Bench Figure 1: Our benchmark measures agents’ social reasoning ability in two domains, calendar coordination and marketplace negotiation. Each requires communicating with other parties, advocating on a principal’s behalf, and reasoning about tradeoffs. 

SocialReasoning-Bench evaluates social reasoning in two domains: Calendar Coordination and Marketplace Negotiation. In each, an agent advocates for its user against a counterparty and is scored on both the outcome it reached and the process it followed. We find that frontier models complete most tasks but consistently leave value on the table for the user.

Calendar coordination

In calendar coordination, an assistant agent manages a user’s calendar on a single day and fields a meeting request from another agent.

We assume the agent has access to a value function over time slots that captures the user’s scheduling preferences between 0.0 and 1. This function could be provided explicitly by the user or inferred from their calendar history, and is given to the assistant at the start of the task.

The counterparty is a requestor agent representing another person who wants to schedule a meeting with the user. The counterparty has its own value function over the same slots, constructed as the inverse of the user’s, so the slots most valuable to one are least valuable to the other. Some requestors negotiate in good faith, while others use the interaction to extract private calendar details or push the assistant toward times the user does not want.

In each task there is a zone of possible agreement (ZOPA) a term borrowed from negotiation theory for the set of outcomes that both parties could plausibly accept. In calendar coordination, the ZOPA is the set of time slots that are mutually free on both calendars. We construct every task so that the ZOPA contains at least three slots with different preference scores for the user, and the requestor’s opening request always conflicts with the user’s calendar.

Marketplace negotiation

In marketplace negotiation, a buyer agent representing a user negotiates with a seller agent to purchase a single product.

The user wants to pay as little as possible for the product. Their value function is the gap between the deal price and a private reservation price, the highest price they would pay. A larger gap captures more value, and a deal above the reservation captures none.

The counterparty is a seller agent with its own private reservation price set below the buyer’s. The counterparty’s value function mirrors the user’s, with higher deal prices yielding more value and deal prices below the seller’s reservation price yielding no value.

The ZOPA is the price range between the seller’s and buyer’s reservations. The seller’s opening offer is always above the buyer’s reservation, forcing the buyer to negotiate the price down.

New metrics for a new setting

Existing benchmarks focus on task completion: did the meeting get scheduled? Did the trade close? In principal–agent settings, what matters is not just whether the task is completed, but how well it is done. We introduce new measures to capture this distinction.

Outcome Optimality

Outcome optimality scores the share of available value the agent captured for its principal, on a 0-to-1 scale. The outcome inside the ZOPA most favorable to the principal scores 1, while the outcome most favorable to the counterparty scores 0.0. Intermediate outcomes are scored by where the principal’s value function places them between those two endpoints.

Due Diligence

Outcome optimality alone conflates skill with luck. An agent that immediately accepts a counterparty’s first offer, without inspecting its situation or making a counter-proposal, can still score well if the counterparty happens to propose a good outcome. To separate skill from luck, we introduce a process metric.

Due diligence scores process quality on a 0-to-1 scale by comparing the agent’s actions, at each decision point in the trajectory, against the action a deterministic reasonable-agent policy would have taken in the same state. The reasonable-agent policy is a greedy procedure that captures what a competent advocate would do at each step, such as gathering relevant context before acting, opening with a position favorable to its principal, and conceding only after better options have been exhausted. The Due Diligence score is the rate at which the agent’s actual choices match the reasonable-agent’s choices over the trajectory.

Duty of care

Together, Outcome Optimality and Due Diligence form an operational notion of an agent’s duty of care to the person it represents. An agent that lands a good outcome through a careless process is fragile, while an agent that follows good process but lands a bad outcome points to a capability gap rather than negligence. Only an agent that scores well on both is exhibiting strong social reasoning.

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For the calendar assistant agent and marketplace buyer agent, we evaluate GPT-4.1 with chain-of-thought, GPT-5.4 at high reasoning effort, and Claude Sonnet 4.6 and Gemini 3 Flash at high thinking levels. The counterparty (i.e. requestor in calendar coordination, and seller in marketplace negotiation) is always Gemini 3 Flash with medium reasoning effort, held constant across all conditions so that any difference in scores reflects the model under test rather than the difficulty of its opponent.

Each model is run under two prompt conditions: Basic Prompting where the agent receives only role and tool descriptions, and Defensive Prompting where the agent additionally receives explicit guidance to consult all available sources and advocate for the user toward the best possible outcome.

Each task runs for 10 negotiation rounds, at most. The counterparty proposes first in every task.

What we’re finding Finding 1: Agents complete tasks at near-perfect rates but produce poor outcomes.

In calendar scheduling, agents almost always succeed in booking the meeting, but most often at suboptimal times. In marketplace negotiation, deals almost always close, but frequently at the worst possible price. The tasks get done, but not done well: task completion signals success, while Outcome Optimality reveals a consistent failure to act in the principal’s best interest.

Figure 2: Task Completion vs Outcome Optimality by model and domain. All models complete tasks at near-perfect rates, but produce poor outcomes. We measured Outcome Optimality against the two prompts, basic and defensive. Defensive prompting helps but does not close the gap.  Finding 2: Defensive prompting helps, but is not enough to close the gap.

When we instruct agents on how to work hard on their principal’s behalf, we see outcome improvements across both domains, but it is not enough to close the gap. GPT-5.4 benefits most from defensive prompting (+0.21 in calendaring, +0.12 in marketplace), while GPT-4.1 barely responds to it in either domain. The other models fall somewhere in between.

Finding 3: Outcome optimality shows how much value agents leave on the table.

Outcome optimality reflects where each deal lands within the ZOPA. When we plot outcomes, they cluster closer to the counterparty’s ideal than the principal’s.

Figure 3: Outcome Optimality (OO) distribution by model and domain. Each dot is one task instance. OO=1.0 means the agent captured all available value for its principal; OO=0.0 means the counterparty captured everything. Black lines show the mean. In marketplace, outcomes cluster near zero across all models. In calendar, agents perform better but still settle below the midpoint on average. 

In marketplace negotiation, all models settle at or near zero for Outcome Optimality, accepting deals that give away virtually all available surplus. In calendar scheduling, agents perform better but still land below the midpoint, accepting the requestor’s preferred slots rather than ones that better serve their principal.

Measuring value capture in agent negotiations builds on recent studies examining how agents perform in marketplace settings. Because we operate in a controlled setting, we can establish ground-truth constraints for both parties and measure exactly how the available value was divided. Our formulation also generalizes beyond price-based negotiations: by abstracting to a domain-specific value function, Outcome Optimality can measure surplus division in any setting where agents face competing incentives, including non-monetary domains like calendar scheduling where “value” is defined over preference scores rather than prices.

Finding 4: Due Diligence helps distinguish between luck and skill.

When we look at the combination of outcome quality and process quality, a more nuanced picture emerges. Many agents that achieve reasonable outcomes do so through fragile processes: they don’t check context before acting or they accept offers without countering. High Outcome Optimality with low Due Diligence suggests an agent that got lucky rather than one that can be trusted. Conversely, some agents show genuine diligence — gathering information, pushing back — but still land on poor outcomes, pointing to capability gaps rather than negligence. Dividing Outcome Optimality and Due Diligence each into high (>=0.5) and low (<0.5) buckets, we can sort every task into one of four archetypes.

Not diligent (DD < 0.5)Diligent (DD ≥ 0.5)Good outcome (OO ≥ 0.5)LuckyRobustPoor outcome (OO < 0.5)NegligentIneffective

Through the lens of this decomposition, we can see that models exhibit robust duty of care on more than 50% of calendar coordination tasks, with Gemini 3 Flash leading at 90% robust. In marketplace negotiation, though, a very different picture emerges. GPT-4.1 is negligent in 95% of tasks, neither gathering information nor advocating for its principal, while Claude Sonnet 4.6, GPT-5.4, and Gemini 3 Flash show ineffective behavior in roughly 90% of marketplace tasks, negotiating diligently but still unable to achieve good outcomes. 

=0.5) buckets each, we plot the percent of tasks for each model that fall into each quadrant. For example, in calendar scheduling, GPT-4.1 achieves both high OO and high DD (Robust) in 63% of tasks. In contrast, in the marketplace domain, GPT-4.1 exhibits low OO and low DD (Negligent) in 95% of tasks. " class="wp-image-1171332"/>Figure 4: Splitting Outcome Optimality and Due Diligence into “low” (<0.5) and “high” (>=0.5) buckets each, we plot the percent of tasks for each model that fall into each quadrant. For example, in calendar scheduling, GPT-4.1 achieves both high OO and high DD (Robust) in 63% of tasks. In contrast, in the marketplace domain, GPT-4.1 exhibits low OO and low DD (Negligent) in 95% of tasks. 

Figures 5-8 illustrate these different behaviors and failure modes with real examples from SocialReasoning-Bench in the calendaring domain. We see agents that follow a strong negotiation strategy and secure high-value outcomes, but also agents that achieve reasonable outcomes through sloppy processes, such as failing to propose the principal’s best option. Others begin with a strong position but concede prematurely, collapsing to poor deals. At the extreme, some agents exhibit negligent behavior, accepting the first proposal without checking constraints, even when it directly conflicts with the user’s interests.

Figure 5. A real paraphrased example of robust behavior from GPT-4.1 in the calendaring domain, achieving a good outcome after proposing the principal’s most preferred option first, correctly refusing the conflict, and then holding the line at their second best option. Figure 6. GPT-4.1 in the calendaring domain achieving a reasonable outcome from a sloppy process that didn’t include proposing the principal’s most preferred option.  Figure 7. GPT-4.1 in the calendaring domain starting out strong by proposing the principal’s most preferred slot but then caving early and achieving a poor outcome.  Figure 8. GPT-4.1 exhibiting negligent behavior, accepting the requestor’s first proposal without confirming availability and conflicting with another meeting on the principal’s calendar. 

Taken together, these examples highlight why outcome alone is insufficient. Without measuring process, we risk mistaking brittle or accidental success for genuine capability. Due Diligence helps surface whether an agent is consistently behaving like a competent, trustworthy delegate, or simply getting lucky.

Finding 5: Agents are vulnerable to adversarial manipulation

When we stress test agents by pitting them against adversarial counterparties, we find that agents struggle to balance when to engage, when to refuse, and how to negotiate under pressure.

To create these adversarial scenarios, we introduce counterparties explicitly trying to manipulate outcomes or bypass protective steps. Some follow carefully designed strategies, applying pressure or probing for information, while others use more unpredictable, creatively generated whimsical tactics that mimic novel forms of social engineering. Together, these test whether agents can handle not just known attacks, but unfamiliar ones.

Figure 9: Refusal Rates and Outcome Optimality when agents engaged with adversarial requestors in both domains. Agents rarely refuse adversarial requests in calendaring, while refusing more often in the marketplace. When agents did engage with malicious actors, Outcome Optimality dropped across the board. 

We find that, aside from Claude Sonnet 4.6, agents rarely refuse adversarial requests in calendar scheduling, while refusing more often in marketplace settings. This suggests that adversarial intent is harder to detect in socially framed interactions. When agents do engage, the impact is starkest in calendar scheduling with Outcome Optimality dropping substantially across GPT-4.1, GPT-5.4, and Gemini Flash 3, suggesting that adversarial counterparties successfully steer these agents toward worse outcomes. In the marketplace domain, Outcome Optimality when agents engaged remains comparable to the low levels achieved against benign counterparties, capturing little to no value for their principals.

Why this matters now

Agents are interacting with each other in multi-party environments, from collaborating across enterprise workflows to transacting in digital marketplaces. As these networks form, the social reasoning gaps we observe in simple two-agent settings can begin to compound. Weak negotiation, over-trust, or failure to exercise due diligence no longer stay local. They propagate through coordination, influence downstream decisions, and shape collective outcomes.  

In isolation, an agent that accepts a bad meeting time or a poor deal causes limited harm. In a network, those same behaviors can cascade, leading to systematically worse coordination or widespread value loss across many agents.

Recent work has begun exploring these risks and dynamics through case studies of agents interacting in networked settings. SocialReasoning-Bench complements this line of work by providing a controlled, reproducible benchmark that isolates interaction behaviors and makes them measurable. This allows us to move beyond anecdotes and systematically track progress, giving model, agent, and platform developers a concrete target for building agents that act as trustworthy delegates.

SocialReasoning-Bench is open source and available on GitHub (opens in new tab).

Limitations and future work

Our current measures treat all counterparties equally. In practice, relationships matter. A socially intelligent agent should modulate its assertiveness based on their principal’s relationship with the counterparty: pushing too hard when scheduling a meeting with a senior executive may damage a valuable relationship, and sometimes the right outcome is reached through compromise. Developing relationship-aware measures that account for power dynamics, rapport, and long-term consequences is an important direction for future work.

We evaluate social reasoning in simplified two-agent settings, whereas real-world delegation often involves multi-party dynamics such as group scheduling or multi-stakeholder negotiations. Each task is also treated as an independent encounter, with no modeling of long-term relationships, reputation, or trust-building across repeated interactions. Our scenarios are also limited to English-language and U.S.-centric business contexts, though social norms around negotiation, privacy, and hierarchy vary widely across cultures. Looking ahead, we plan to extend our benchmark to more diverse settings.

Finally, Outcome Optimality works well in settings with clear boundaries, where a “good” outcome can be defined and measured. But many tasks that require duty of care, such as drafting sensitive messages or navigating team dynamics, may not have a well-defined ZOPA. In these cases, outcomes depend on context, relationships, and judgment in ways that may resist a single score. Extending our approach to these more subjective settings is an important direction for future work.

Acknowledgements 

We would like to thank Brendan Lucier, Adam Fourney, Amanda Swearngin, and Ece Kamar for their helpful feedback, discussions, and support of this work. 

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The post SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests appeared first on Microsoft Research.

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The awareness of open earbuds is basically an unmatched experience, but in most cases, it requires the trade off of giving up active noise cancellation.

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Ninja finally made a Slushi machine that can make two different flavors at once. (Consider it a modern twist on the Margaritaville Tahiti.) Announced May 11, the Ninja Slushi Twist kind of looks like two regular Slushi machines fused together. You can see where this is going.

Neo no longer has to choose between red and blue. Credit: Ninja

Each vessel still has its own individual spout and handle, so flavors can be dispensed independently of each other. The fun part? Hit the button in the middle to swirl them together for a perfectly-layered striped drink.

Opens in a new window Credit: Ninja Ninja Slushi Twist $399.99 at SharkNinja
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Though small Slushi upgrades have been released here and there, this is easily the biggest news since the initial Slushi launched in July 2024. It's not surprising that it's already out of stock on the day of its release. The Slushi Twist costs $399.99, though, and you can sign up to have SharkNinja notify you when it's back.

SEE ALSO: From F1 sets to new Botanicals plants, these are the best new Lego sets of May

The Slushi Twist is the ultimate frozen drink maker for families with kids or anyone who likes to host. The kids get their fruit punch slushie, the adults get their frosé. Can't decide between a strawberry or jalapeño margarita for an upcoming happy hour hangout? The Slushi Twist won't make you choose between your sweet and spicy friends.

The Slushi Twist can make 10+ 9-ounce servings per batch. Credit: Ninja

Compared to the original Slushi machine that I tested and loved, the Slushi Twist apparently slushes faster. Since my Slushi takes about an hour at most, I'm guessing the Twist can have drinks ready in 45 minutes max. Remember that the Slushi doesn't require ice like a regular blender or prepared frozen mixtures like the Ninja Creami.

New Dual SlushAssist mode auto-senses the ingredients on each side and auto-adjusts the temperature to keep them at the right chilly consistency. Choosing the right level of cold for my Slushi has been quite the trial and error, especially when sugar or alcohol content math is involved — so SlushAssist sounds pretty nice.

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As a proud dog mom of two unruly beagles, I know how expensive our little monsters can be. Between the beds they ruin, the toys they destroy in seconds, and the absurd cost of basic flea and tick prevention, keeping them happy and healthy in this economy (in this economy?!) can drain your wallet. So whenever there's a big sale on pet supplies, I'm the first one in line to stock up.

SEE ALSO: My cats and I found the 8 best vacuums for pet owners, from powerful hair pickup to livestream cameras

Amazon Pet Days officially kicked off today, May 11, and runs through May 15. It's basically Prime Day for pets, but with one major difference: you don't need a Prime membership to get the best deals. (Though if you do have Prime, you'll get free same-day, one-day, or two-day shipping.) First-time "Subscribe & Save" customers can also get 35% off select health care products from brands like Simparica, NexGard, and HeartGard.

There are thousands of deals across grooming, toys, and tech right now. But since buying toys for super-chewers is basically just throwing money away, I usually skip that section entirely. Instead, this sale is the best time to grab the expensive gear your fur babies need — like grooming tools, replacement beds, and pet cameras.

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Trisha Paytas is in her HBO era.

SEE ALSO: 'Euphoria' Season 3 review: It should be great. Instead, it's gross.

The influencer, known for everything from her controversial trolling to her current podcast Just Trish, has popped up in two of the network's hottest series this spring. First, she played herself in Hacks Season 5, competing against Deborah Vance (Jean Smart) and her daughter DJ (Kaitlin Olson) in The Amazing Race. Now, she's stepped into the world of Euphoria Season 3.

Who does Trisha Paytas play on Euphoria? Sydney Sweeney and Trisha Paytas in "Euphoria." Credit: Screenshot: HBO

Season 3 of Euphoria focuses heavily on OnlyFans, with Cassie Howard (Sydney Sweeney) turning to the subscription platform for extra money. What begins as a mission to pay for her $50,000 wedding flower arrangements soon turns into a greater dream to take over Hollywood. As her popularity grows, she starts doing podcast appearances. Paytas, who has posted on OnlyFans herself, plays an unnamed podcast host on Cassie's extensive media tour in Season 3, episode 5.

SEE ALSO: 'Euphoria' made sex work go viral. Real sex workers are still getting censored.

During these appearances, Cassie repeats right-wing, men's rights talking points, which seem to catch Paytas's character off guard.

"Men should be free," Cassie tells each host she speaks with. "They should be able to speak their mind, voice their desires."

Paytas's podcaster responds, "Oh, you think they're being too restricted by society?"

Cassie goes further, saying, "Yes! Like, if a man today were to say that he wants a girlfriend that can cook or clean, he might as well be screaming the N-word."

In response to that wild statement, all Paytas's host can do is take a deep breath and say, "Okay."

It turns out that this response wasn't scripted.

Trisha Paytas reveals she was stunned in Euphoria cameo. Trisha Paytas in "Euphoria." Credit: Screenshot: HBO

On Instagram, Paytas posted some behind-the-scenes photos from her time on Euphoria, including a call sheet that lists her role as Video Podcast Host #3. But what's most interesting is her caption, where she reveals, "I had no script so that speechless reaction was real."

Weeks before her episode premiered, Paytas spoke about her role further on her podcast Just Trish, saying, "I didn't even know if I was making it [into the final cut]... My whole scene was improv. All my things were improv. There was no script."

That means Paytas, like many Euphoria viewers, was left flabbergasted by Cassie's continued spiral down the alt-right pipeline.

I can only imagine the rest of the episode, which features an NSFW parody on Attack of the 50 Foot Woman and the potential death of Rue Bennett (Zendaya), left her uttering a similar dumbfounded, "Okay."

New episodes of Euphoria Season 3 premiere Sundays at 9 p.m. ET on HBO and HBO Max.

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Opens in a new window Credit: Mammotion Mammotion LUBA 3 AWD 5000H robot lawn mower $2,899 at Amazon
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As of May 12, the Mammotion LUBA 3 AWD 5000H robot lawn mower is on sale at Amazon for $2,899, down from the list price at Mammotion of $3,299. That's a 22% discount that takes $400 off the normal price. It's also the lowest we've seen at Amazon.

With the ability to cut 1.25 acres, the Mammotion has durable, all-terrain wheels that'll have no issues with uneven lawns, slight bumps, or when cutting over stepping stones. Today's sale price applies to the high version which is capable of cutting grass down to between 4 and 2.2 inches. You'll be able to se the preferred heigh and mowing scheudle with the Mammotion.

SEE ALSO: Considering a robot lawn mower? We picked 3 deals live now at Amazon.

The rechargeable battery can keep the robot mower powered on for up to 215 minutes of grass-cutting action. It's also designed with obstacle avoidance for over 300 things that might be on the lawn like a potted plant, picnic table, fire fit, and plenty more.

Before the busy summer schedule kicks into high-gear, get the help of the Mammotion LUBA 3 AWD 5000H robot lawn mower. It's on sale at Amazon for under $2,900 which marks a new record-low price.

A BRAND NEW PRICE: As of May 11, My Best Buy Plus memberships are now just $29.99 per year instead of $49.99 per year. That's a $20 permanent price drop. Meanwhile, My Best Buy Total memberships are jumping to $199.99 per year starting June 4, a $20 increase from their previous cost.

Opens in a new window Credit: Best Buy My Best Buy Plus membership $29.99 per year Get Deal

It's pretty rare in 2026 to see something get cheaper, particularly a subscription. While other subscriptions are steadily hiking costs, Best Buy quietly just dropped the price of its My Best Buy Plus membership permanently.

The tech retail giant announced a reward points system for its paid subscribers last week along with a new pricing structure for its Plus and Total subscriptions. Typically $49.99 per year, the more affordable Plus membership is now just $29.99. The permanent $20 price drop appears to already be reflected on the Best Buy website, so new subscribers will only pay $29.99 and existing subscribers will see the new pricing go into effect on their next bill. That's only a mere $2.50 per month when you do the math.

Plus subscriptions include free two-day shipping, early access to sales, events, and products, an extended 60-day return window, exclusive member pricing, and now 1% back in rewards on eligible purchases (6% with the My Best Buy Credit Card). For instance, Plus and Total members can take an extra $100 off the LG 77-inch B5 OLED 4K TV or get two free months of Apple TV and LinkedIn Premium.

My Best Buy Total subscriptions, on the other hand, are getting a $20 price hike. Currently $179.99 per year, prices will jump to $199.99 per year starting June 4. If you were thinking about signing up, we recommend locking in your membership before June 4 to save $20.

Total subscriptions include the same perks as Plus subscriptions, as well as protection plans like AppleCare+, free in-store and remote computer and tablet services, 24/7 tech support, VIP member support and priority access to Best Buy’s expert services, and 20% off repairs.

The rewards points system, which can now be tracked in a new digital membership hub on BestBuy.com and the Best Buy app, will also go into effect starting June 4.

Toyota’s redesigned 2026 RAV4 Hybrid is already shaping up to be one of the hottest SUVs of the year. Between the new styling, upgraded tech, and Toyota’s hybrid reputation, it’s easy to see why buyers are piling in early.

The streaming services are loading up on their libraries with movies. Last week, the biggest additions were Send Help, a twisty thriller starring Rachel McAdams and Dylan O'Brien, on Hulu and Remarkably Bright Creatures, a charming drama with Sally Field and Lewis Pullman, on Netflix.

Euphoria really wants audiences to think Rue Bennett (Zendaya) is dead.

Season 3, episode 5 ends with a cliffhanger that certainly suggests she's a goner. Once Alamo Brown (Adewale Akinnuoye-Agbaje) suspects that Rue is a snitch, he sends her on a ride to dig her own grave. She seems quite oblivious to her impending death, even as Alamo's henchmen Bishop (Darrell Britt-Gibson), G (Marshawn Lynch), and Kidd (Asante Blackk) begin burying her up to her neck.

SEE ALSO: 'Euphoria' Season 3 review: It should be great. Instead, it's gross.

The alarm bells don't fully set in for Rue until the episode's final seconds, when Alamo barrels towards her on horseback, ready to club her head off with a mean polo swing. (Has he taken lessons on how to kill off HBO leads from The Last of Us' golf club-wielding Abby?)

The episode cuts to black before we see what could be Rue's grisly fate, but don't worry: There's no way Euphoria just killed off its Emmy-winning lead.

Why do some think Rue will die on Euphoria?

There are several signs that suggest Rue is really dead.

For one, no footage of her is in the episode 6 trailer. Plus, it forebodingly begins with the sound of a bell tolling as if for a funeral. Notably, Rue's counterpart character in the original Israeli Euphoria miniseries does die, and that show reveals she's been narrating from beyond the grave.

While that could be the case with Rue in Euphoria, as fans have theorized, the Israeli Rue character dies from an overdose, not from a mix-up with a malicious, sex-trafficking cowboy. So, that parallel doesn't quite work here.

Also, that series — also called Euphoria — lasted one season. And the two have diverged greatly, so take any comparisons with several grains of salt.

Here's why Rue isn't dead in Euphoria.

There is incontrovertible proof that Rue survives her Alamo encounter, and it comes from a Season 3 trailer, released on March 30. There, we see a dust-covered Rue making her way back to Laurie's (Martha Kelly) farm, where she tells her, "Alamo tried to kill me, and he's gonna do the same to you."

The murder attempt Rue is referring to must be the one at the end of episode 5. Plus, her nose in the trailer scene is bloody, suggesting something struck it. Something like a polo mallet, perhaps?

The Season 3 trailer also reveals several other Rue scenes that have yet to appear, including a frank conversation with Ali (Colman Domingo) and a sequence in which Rue stares at a burning tree, likely a reference to Moses and the burning bush, in keeping with the season's Biblical allusions.

Simply put, this previously released trailer footage proves that Rue isn't dead yet.

Just how she gets out of this scrape remains to be seen. Maybe it was all an elaborate scare tactic from Alamo, just like him threatening to stab Kidd over a pair of shorter pants earlier in episode 5. Or maybe she just has a superhumanly thick skull. Either way, Rue – and Zendaya — are sticking around for longer.

New episodes of Euphoria Season 3 premiere Sundays at 9 p.m. ET on HBO and HBO Max.

If you've been keeping an eye on the Steam Machine, here's a reason to pay closer attention. New details have emerged suggesting that Valve is preparing a reservation queue system for the device ahead of launch.

This could be a direct response to the chaos that followed the Steam Controller's release, which sold out almost immediately and landed largely in the hands of scalpers.

SEE ALSO: Valve Steam Controller: What reviewers are saying, how to get your hands on one

According to Wccftech, users digging through a recent Steam update uncovered code pointing to four distinct Steam Machine packages and two Steam Frame packages, alongside existing entries for the Steam Controller and Steam Deck. The four-package breakdown strongly implies multiple models will be available at launch.

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Two are already known — a 512GB and a 2TB storage configuration — but the nature of the remaining two is still unconfirmed. The reservation queue itself mirrors the system Valve introduced for the Steam Controller, designed to give actual buyers a fair shot before scalpers can clean out launch inventory.

As for when any of this actually happens — that's still the big question. Earlier this year, Valve acknowledged in a blog post that soaring memory and storage costs had forced the company to reassess its pricing and shipping timeline, particularly for the Steam Machine and Steam Frame.

The company has since struck a more confident tone, updating its Steam Year in Review to confirm that all three products — the Steam Machine, Steam Frame VR headset, and Steam Controller — will ship this year.

No price or launch date has been confirmed. But four packages and a scalper-prevention system quietly appearing in a Steam update suggest the pieces are falling into place faster than Valve is letting on.

Many modern routers give you the option to create more than one Wi-Fi network, such as a main network and a guest network. The most obvious reason to do so is for security, but that's not the only reason why I run two Wi-Fi networks in my home.

Back in July 2025, when The Late Show was unceremoniously canceled, the end of an era of television that started in 1993 with David Letterman still seemed a long way away.

But now, quite suddenly, the time has come. The Late Show ends this month. Stephen Colbert will no longer be a daily late night staple, and — aside from co-writing a new Lord of the Rings movie — we don't yet know what the host plans to do next.

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So when exactly does The Late Show finish, and how much do we know about what the final episodes have in store?

SEE ALSO: John Krasinski's interview with Stephen Colbert is a wild ride When is Stephen Colbert's last Late Show?

The final episode of The Late Show will air on Thursday, May 21, Colbert confirmed to fellow late night show host Seth Meyers earlier this year. At the time of writing, that means we have just two weeks of shows left.

It's worth noting that this isn't just a case of Colbert himself leaving and being replaced, either — the entire Late Show is coming to an end.

SEE ALSO: Here's what all the late night hosts said about Stephen Colbert and 'The Late Show' being cancelled How to watch the final Late Show episode?

The final episode will air at the usual time of 11:35 p.m. EST live on CBS. As always, for anyone who doesn't have CBS, videos from the show will be available on the official Late Show YouTube channel.

Which guests will be appearing?

We don't yet know which guests will be appearing in the final week of The Late Show (we'll update this article when we know more), but the lineup for the penultimate week has been revealed in a press release sent to Mashable. We've shared the full guest list below:

Monday, May 11

• The hosts of Strike Force Five – Jimmy Fallon, Jimmy Kimmel, Seth Meyers, and John Oliver

• A special Broadway performance featuring Annaleigh Ashford, Christopher Jackson, Bernadette Peters, Ben Platt, and Patrick Wilson

Tuesday, May 12

• Julia Louis-Dreyfus

• Pedro Pascal

Wednesday, May 13

• President Barack Obama takes “The Colbert Questionert”

• Tom Hanks

Thursday, May 14

• David Letterman

• Performance by The Strokes

Why is The Late Show being canceled again?

During an episode of The Late Show in July 2025, Stephen Colbert announced the show's cancelation, to a shocked reaction from the studio audience. Given that Colbert had just called out his own network for paying a $16 million settlement to Donald Trump, calling it a "big fat bribe", the timing seemed suspicious. But in a statement, CBS claimed the show was being axed for financial reasons.

"This is purely a financial decision against a challenging backdrop in late night," CBS executives wrote. "It is not related in any way to the show’s performance, content, or other matters happening at Paramount."

Needless to say, many — including some of Colbert's fellow late night hosts — didn't buy it, with critics pointing to the fact that CBS' parent company Paramount needed the Trump administration's approval for a proposed merger with Skydance at the time — and the U.S. president openly hates late night hosts who criticize him.

SAVE UP TO $25.01: A Parade of Horribles: Dungeon Crawler Carl book 8 by Matt Dinniman is on sale at Amazon for $6.99 in the Kindle version and $23 in the hardback version. The book releases tomorrow, May 12.

Opens in a new window Credit: Ace 'A Parade of Horribles: Dungeon Crawler Carl' book 8 $6.99 at Amazon
$32 Save $25.01   Pre-order Here

We've missed Princess Donut, Mongo, calling for Zev, and reading about Carl's bare feet. But that's all coming back to us tomorrow when A Parade of Horribles, the 8th book in the Dungeon Crawler Carl series launches. If you can't wait to dive in, check out these pre-order discounts at Amazon.

As of May 11, the Kindle version of A Parade of Horribles by Matt Dinniman is on sale at Amazon for $6.99, down from the standard price of $32. The hardback version is on sale for $23, also down from $32. The book launches tomorrow, May 12.

In a time when everything seems weird and worrying in the real world, Matt Dinniman is giving us 766 pages of adventure fiction. What snippy things will get Donut say to get in trouble this time? What trickery will Carl come up with just when we think he'll surely die? We cannot wait to find out. A Paraded of Horribles marks the 8th book in the Dungeon Crawler Carl series.

SEE ALSO: The Kobo Clara Colour is an awesome alternative to Amazon's Kindle Paperwhite

If you're not in a hurry to snag a physical copy of the book, you can order a signed hardback copy from an independent bookstore in Dinniman's home town of Gig Harbor, Wash. Invitation Bookshop notes that signed copies are delayed but will be on their way as soon as Dinniman can sign them. My plan is to read the Kindle version when it releases tomorrow and wait for the signed physical version to arrive for my bookshelf. The signed copy is selling for the standard hardcover retail price of $32.

Get back into the wonderful, deranged, and lovable journey with Carl, Donut, Mongo, and the others when A Parade of Horribles releases on May 12. It's a terrific escape from our current terrors and it's on a major sale at Amazon.

Microsoft is concerned enough about the MacBook Neo that it has commissioned a white paper to put Windows 11 PCs in a better light. While the study does raise some valid points, there are also concerns about its methods — and what it says about Microsoft's fears about Apple.

Save 44%: The Soundcore Sleep A20 earbuds are on sale for just $99.99 as a Best Buy deal of the day. That means come May 12, this $80 markdown on the usually $179.99 earbuds is over.

Opens in a new window Credit: Soundcore Soundcore Sleep A20 $99.99 at Best Buy
$179.99 Save $80.00   Get Deal

I do not play about my sleep, which is one of the reasons why as a headphones reviewer, I have put all the most popular sleep earbuds to the test.

After a few rounds of testing, the Soundcore Sleep A20 earbuds remain some of the best I've tried, and as of May 11, they're on sale for one of their lowest prices ever. Thanks to a Best Buy deal of the day, they dropped down to $99.99, making them $80 cheaper than their usual $179.99. As a deal of the day, however, these savings will be gone come tomorrow, so if you're interested, you'll want to act sooner rather than later.

Though I consider the Soundcore Sleep A30 Special earbuds the best option for sleep earbuds overall due to their combination of comfort and active noise cancellation, if you can live without ANC, the Sleep A20 are a much more cost effective option, especially at this sale price. (At the time of writing the Sleep A30 Special earbuds are only available for their full price of $199.99). I trust their efficacy so much that I picked them up on sale last Black Friday as a Christmas present for my dad, who was formerly using his AirPods to help him fall asleep while managing his tinnitus.

SEE ALSO: Ozlo Sleepbuds review: Can earbuds really improve your sleep?

With the Sleep A20 earbuds, you'll get 14 hours of battery life per charge with a case that can hold 80 hours of charge, a robust sleep sound library and the ability to stream your own audio with timers for falling asleep, and sleep tracking data. Even without ANC, they offer an impressively good amount of passive noise cancellation — especially if you're streaming audio. For noisy nights or travel (reminder: Memorial Day Weekend is just two weeks away), these earbuds can change the game in offering you reliably soundproofed sleep.

At some point, every productivity system runs into the same wall—it only works if you remember to check it. Notion doesn’t yell at you, Asana doesn’t follow you around, and your calendar reminders are easy to dismiss.

I have been plotting and planning to adopt a dog for years, and at the end of 2025, it finally happened. Now our sweet pitbull beagle mix, Milly, has come home and joined the family. While I grew up with dogs, this is my first time owning a dog as an adult, which meant starting from scratch and dropping a lot of money on everything I needed — or thought I needed.

The Lesure dog bed, might just be Milly's favorite spot in the house. Credit: Samantha Mangino / Mashable

Luckily, with six months of dog ownership under my belt, I've figured out the absolute essentials — things we use every day. With Amazon Pet Week running from May 11 through 15, I wanted to share my dog essentials. These are the things I would buy over and over again that both Milly and I love.

SEE ALSO: Amazon Pet Days is live: Everything you need to know about 'Prime Day for pets' Lesure Donut Dog Bed Lesure Donut Dog Bed $36.78 at Amazon
$45.99 Save $9.21   Shop Now at Amazon

This wasn't the first dog bed we got for Milly, but the Lesure dog bed is absolutely her favorite — she tried to lie on it before it was even fully put together. The outside of the bed is so soft, but the donut shape makes it extremely cozy. It has a sort of ingenius two part design with two cushions that are inserted into the cover to make that donut shape. That also makes it exceptionally easy to clean. Once it starts to smell a little...doggy, I can just toss it in the wash to get it feeling fresh again.

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MidWest Homes 36-inch Double Door Dog Crate MidWest Homes 36-inch Double Door Dog Crate $61.93 at Amazon
$65.99 Save $4.06   Get Deal at Amazon

Luckily, Milly came to us crate-trained. This girl loves her crate and sleeps easily through the night in it. During Black Friday, I picked up the MidWest Homes 36-inch Double Door Dog Crate, and it's great. It was so easy to set up and can fold down easily if we want to travel with it. I love the double doors situation that allows us to angle it however we need.

Max and Neo Dog Collar Max and Neo Martingale Collar $17.99 at Amazon
  Shop Now at Amazon

As a first-time dog owner, it's safe to say I have a little bit of new parent anxiety. Luckily, Milly's foster sent us home with a Max and Neo Martingale collar, which I would purchase with my own money if I had to do it again. A martingale collar has a special mechanism that tightens it when your dog pulls, so it's less likely that your dog can slip out of the collar. Plus, I love that it has a lock on the buckle for extra security.

AirTag and collar holder Opens in a new window Credit: Apple Apple AirTag $29 at Amazon
  Shop Now Opens in a new window Credit: Goody Products Goody Products AirTag Holder $14.96 at Amazon
  Shop Now

If the worst were to happen and we got lost from Milly, we wanted some way to track her. We decided to get an AirTag as it was an affordable, easy-to-use option. Since we live in a city, the AirTag is fairly accurate and reliable, though if we lived in the suburbs or country, we might consider a GPS collar. The AirTag has been great so far, and we keep it attached to Milly's collar with an AirTag holder.

SEE ALSO: Should you get an AirTag or a GPS tracker for your dog? Experts weigh in. The Buddy System Dog Leash The Buddy System Hands Free Dog Leash $24.99 at Amazon
  Shop Now at Amazon

When adopting Milly, we were recommended to get a runner's belt. We tried a few options, but our favorite is from The Buddy System, which has inclusive sizing and easily converts to a handheld leash. My favorite feature is the tab to clip our treat pouch and poop bag holder.

Earth Rated Dog Poop Bags Earth Rated Poop Bags $24.69 at Amazon
$28.24 Save $3.55   Shop Now at Amazon

I know it is not glamorous or the most exciting thing to buy during a sale, but without fail, the thing you will use every day as a dog owner is poop bags. There are a ton out there, but Earth Rated seems to be the most popular (245K+ reviews on Amazon) for good reason. I like them because they come in a pack of 600, so I don't have to think about buying them for months at a time.

Upsky No Spill Water Bowl Upsky No Spill Water Bowl $15.99 at Amazon
$19.99 Save $4.00   Shop Now at Amazon

We bought the Upsky No Spill Water Bowl after dog sitting for our friends who had one. It is awesome for messy drinkers as the disk on top keeps just a little water exposed. The unexpected upside? Our cats love drinking from it, too.

Woof Pupsicle Woof Pupsicle $23.99 at Amazon
$29.99 Save $6   Shop Now at Amazon

If you have an active dog with high enrichment needs, you need a Woof Pupsicle. The inside frozen treat keeps dogs active for at least 15 minutes, plus, you can make your own treat with the included mold. Milly loves her so much that we give her one at every meal.

Pawz Rubber Boots Pawz Rubber Boots $21.49 at Amazon
  Shop Now at Amazon

I never thought I'd be someone who puts little boots on their dog, but then winter came, and Milly was limping from all the salt on her paws. While the Pawz rubber boots aren't the fanciest booties you can find online, they're cheap and easy to put on. Plus, I find they give much better paw mobility. They're not just for winter either, as they can protect paws against hot pavement.

Zuke's Mini Treats Zuke's Mini Treats $13.89 at Amazon
$16.99 Save $3.10   Shop Now at Amazon

My family has been buying Zuke's for almost two decades, so when I got a dog of my own, they were the first treats I bought. They're tiny, so you can fit a lot of them in a treat pouch, low-calorie, and based on my dog's reaction to them, very tasty. The only downside is they do tend to dry out fast.

Whimzees Dental Treats Opens in a new window Credit: Wellness Whimzees Natural Dental Treats $43.80 at Amazon
  Shop Now

After our daily walk, Milly goes straight to the treat cabinet for her dental treat. We get the Whimzees natural dog treats, which she loves. The variety box is the best value, especially since we give them to her daily. Plus, we've genuinely noticed a difference in her breath, which, to put it kindly, was exceptionally stinky.

Earth Rated Dog Shampoo Earth Rated Dog Shampoo $14.53 at Amazon
$16.99 Save $2.46   Shop Now at Amazon

Speaking of stinky, the transition from winter to fall is better known as mud season where I live, and Milly made the most of it. This resulted in her least favorite activity, the bath. Earth Rated 3-in-1 dog shampoo has worked extremely well for us. I love the white tea and basil scent, plus its easy squeeze bottle design is clutch for easy dispensing. It rinses easily and actually deodorizes when Milly starts to smell like dog.

Earth Rated Pet Wipes Earth Rated Pet Wipes $29.92 at Amazon
$34.99 Save $5.07   Shop Now at Amazon

For both mine and Milly's sanity, a bath can't happen every day, so for the in-between days, pet wipes come in handy. They do a great job cleaning paws and eyes, but they even get off mud or slush after a big walk outside.

Vehicle dashboards have changed, moving from basic analog gauges to digital hubs that work much like your smartphone. Android Auto is at the center of this shift, as it's meant to connect your digital life to your driving experience. As the interface gets more features, it gets harder to tell the difference between useful help and dangerous distractions.