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When you’re the glue connecting executive vision with day-to-day operations, you can’t afford to let your inbox be a bottleneck.  

The Superhuman team recently joined Phil Burns, founder and executive director of The Chief of Staff Roundtable, for an episode of “Tools of the Trade” — deep-dives into tools that Chiefs of Staff rely on to be more effective, productive, and decisive.

Phil spoke with Paul Teyssier, President at Superhuman, and Rosellen Schwartz and Amanda Marx from our Customer Success team. They covered:

• Common problems with email and how they especially impact Chiefs of Staff
• How Superhuman turns your inbox into a catalyst for speed, focus, and alignment
• Email as a productivity multiplier

Inbox woes: overwhelm, slow response times, and hidden busy work

Too often, inboxes become bottlenecks. Professionals are overwhelmed with a flood of messages, competing priorities, and cascading back-and-forths, making it difficult to focus on what truly matters.

“Email is one of the biggest productivity problems hiding in plain sight,” noted Paul. The way most professionals use email hasn’t really changed in decades. And that means there’s unnecessary friction and overwhelm in one of the core modes of work.

For Chiefs of Staff, the impact of these challenges is even greater. Email isn’t just a communication tool — it’s a command deck for decision-making, alignment, and execution. Any drag in the inbox is drag on the critical business decisions Chiefs of Staff and leaders make constantly: Which requests get a response first? What needs escalation? What can wait?

This drag takes a toll in missed opportunities, ignored risks, and unsatisfied partners and customers.

“It can become an absolute hurricane of chaos, trying to keep everything straight,” says Phil, noting the special challenge for Chiefs of Staff in managing leaders’ inboxes as well as their own.

Paul highlighted three email problems that particularly affect Chiefs of Staff:

• Volume overload: The sheer number of incoming messages can create decision fatigue and make it hard to keep track of what’s important and urgent. This is especially true when managing leaders’ inboxes and coordinating with EAs as well.
• Slow response times: Being responsive to what matters most is crucial for succeeding in this role. You need to feel confident that you can reliably surface the key opportunities and risks from incoming emails, and drive momentum with followups without dropping the ball.
• Hidden work: With email volume comes the tedious inbox overhead of sorting, filing, tracking tasks, and piecing together threads. It can quickly feel like an extra job to keep your inbox organized and under control. 

“These challenges tend to be 10 times bigger for Chiefs of Staff than in most other roles. Your ability to stay on top of things and unblock things, before other people even know they’re blocked, is a really critical element.”

— Paul Teyssier, President at Superhuman

Superhuman: a catalyst for focus, speed, and alignment

Paul noted that Chief of Staff is one of the most common job titles among Superhuman customers. Many have recognized the opportunity to become far more productive in their inbox, often driving change for others in their organizations.

Superhuman transforms your inbox from a bottleneck into a catalyst for speed, focus, and alignment — helping Chiefs of Staff and senior leaders work seamlessly together, prioritize the right messages, and clear email faster.

Phil gets it. After using Superhuman for 5 weeks, he’s at 1,500 unread emails, down from 4,000 — steadily improving his productivity with the Inbox Zero method.

“Superhuman is in a league of its own. It has absolutely revolutionized my inbox with little to no effort.”

— Phil Burns, Founder and Executive Director of The Chief of Staff Roundtable

Here are three powerful ways Chiefs of Staff use Superhuman.

Focus on what matters

Better inbox triage and priority management means better, faster decision-making.

With Split Inbox, you can organize emails into distinct workstreams or areas of focus. This transforms the overwhelming single inbox experience into categorized sections — dramatically reducing context switching and decision fatigue, enabling users to stay in flow while focusing on what matters most.

With Reminders and Split Inbox, your inbox becomes your to-do list. Amanda demonstrated how to rapidly triage email with the decision framework: Is it for today, for another day, or done? This makes each inbox split a prioritized and actionable overview of work, with everything else out of sight and off your mind. 

Auto Summarize shows a 1-line summary above every conversation. You can simply tap a key to see an expanded summary. This gives you vital information at a glance, so you can fly through your inbox.

Respond faster, effortlessly

Superhuman helps you respond faster to what matters most.

Recent Opens is a live feed of who is opening your emails. You can effortlessly keep the pulse of high-stakes conversations — and follow up with perfect timing.

Superhuman AI can draft entire emails based on simple prompts, refine existing drafts, and fix grammar and formatting. It’s a fast, skillful writing assistant that adopts your own voice and tone, and even learns to adapt how it sounds based on each recipient.

Snippets are templates for common responses, easily shared across your team so your best messaging stays consistent and on brand. You can even see analytics on Snippet usage, helping teams track which messaging is most effective.

Instant Reply offers rapid, pre-drafted responses. Perfect for those emails that just need a quick acknowledgment to keep things moving.

The latest evolution of Superhuman AI means you’ll never miss a followup again. With Auto Reminders & Auto Drafts, you’ll get a timely reminder to respond and even a pre-drafted reply — ready to simply skim and send.

These features directly address what Paul identified as a key pain point for Chiefs of Staff: “Slow response time to customers, slow response time to peers, slow response time to the different leaders you’re supporting… which can eventually put your business at a disadvantage.”

Collaborate more effectively

With Superhuman, you can collaborate right from your inbox — without the need to forward, bcc, or jump between apps. You can align faster with your team and delegate seamlessly.

Shared Conversations & Team Comments allow for internal collaboration on external conversations without creating separate email threads. All the context stays in one place while keeping a clear distinction between internal and external discussion, preventing accidental sharing. 

Shared Conversations eliminate a common source of friction for Chiefs of Staff — trying to get rapid alignment with busy leaders on something that has both internal and external context. Instead of a snowball of open tabs and loops — e.g. when there’s an email from a customer that’s then forwarded internally to the CEO, that the EA then replies to and the Chief of Staff then manages, creating an extra thread that is disconnected but can collide with the main conversation with the customer, and even more open loops to close… ugh! — with Superhuman, there’s one single, always up-to-date view.

Share Availability makes scheduling effortless. No more endless back-and-forth to book a meeting — simply pick your ideal times and share, with far more control than add-ons like Calendly.

And features like Team Read Statuses, Team Reply Indicators, and Shared Drafts will help you move as one and eliminate hours of busy work every week.

Email as a productivity multiplier

Extra speed, focus, and alignment in your inbox pay off. One of the largest strategy consulting firms now responds to emails 3.6 hours faster on average and sends 60 percent more emails after implementing Superhuman.

“Anecdotally, they’ve told us that with Superhuman, they’re never dropping the ball, and they have more time and more energy to spend resolving customers’ issues and engaging with new customers,” Paul shared.

Chiefs of Staff rely on Superhuman to make faster decisions, keep leadership informed with minimal friction, and focus on what matters most. 

Ready? Try Superhuman now and save 4 hours per person every single week.

Superhuman Blog

At Superhuman, we set out to build the most productive email experience ever made.

Our customers now get through their email twice as fast as before, reply 1-2 days sooner, and save more than 4 hours every single week. Together, they’ve sent over 500 million messages, triaged over 2 billion conversations, and used a whopping 6 billion shortcuts! See more on our Wall of Love.

I am beyond thrilled to announce our next chapter: Superhuman is being acquired by Grammarly. Together, we will build the AI-native productivity suite of choice!

We will now accelerate our entire roadmap. We will invest even more deeply in AI and email, build new experiences that transform how we collaborate and communicate, and create AI agents that unlock a whole new way of working. More below…

Superhuman & Grammarly 💜

I met Shishir Mehrotra — co-founder of Coda, and now the CEO of Grammarly — back in 2017.

I had just onboarded him onto Superhuman. As he closed Gmail, another tab caught my eye: an app called Krypton. I asked what it was. Shishir then gave me the best product demo I had seen in years!

Krypton became Coda, and Coda became the collaborative document of choice for tens of thousands of teams and millions of users. In late 2024, Grammarly acquired Coda, and Shishir became the new CEO.

In their acquisition announcement, Shishir wrote: “As I watched the foundational capabilities of AI change how just about every tool and surface operates, I started drafting my 2025 planning memo for the team. I titled it: the AI-native productivity suite.”

At Superhuman, our vision has always been to build the AI-native productivity suite of choice. Email is a critical part of this suite, and a much bigger problem than most people realize: there are roughly 1 billion professionals in the world, and on average we spend 3 hours a day in email. That’s 3 billion hours every single day, or more than 1 trillion hours every year. In fact, we spend more time in email than any other work app.

When I read Shishir’s post, I knew we should catch up.

The AI superhighway ✨

For professionals, email turns out to be the number one Grammarly use case: the assistant helps write over 50 million emails every week. Grammarly itself is extraordinarily popular: it is used by over 40 million people and 50,000 organizations. We used the phrase “hand in glove” more than a few times!

Grammarly also has incredible potential.  At first glance, it is an AI writing assistant. But unlike every other AI assistant, Grammarly works in every app. To pull this off, the team has built integrations with 500,000+ apps and websites — an impressive feat of engineering they call the “AI superhighway.” So far, that AI superhighway has delivered an AI writing assistant. Grammarly is now working on hundreds of task-specific agents, and will use this superhighway to bring these agents to users wherever they work, including — of course — email.

The agentic future of work 🧠

With greater resources, we will now accelerate everything we do. We will invest even more in AI and our core email experience. We will build calendar and tasks, connecting them beautifully together. We will reimagine chat and redefine collaboration. And we will create a new way of working with AI agents.

Email turns out to be the perfect place to work with agents. Imagine an agent triaging your inbox before you wake up; another agent drafting responses in your own voice and tone, incorporating detailed context about you and your work; while another agent surfaces insights, schedules meetings, and interacts with other agents and your systems of record.

We could not be more excited to build the future of work — an AI-native productivity suite, with agentic workflows that are deeply integrated into every part of your day!

Thank you 🙏

I want to share my heartfelt gratitude with every customer, every investor, and every teammate. This is all only possible because of you.

To our customers — thank you for trusting us every day, and for shaping the product into what it is today. Everything that we do, we do for you.

To our investors — thank you for believing in this dream, and supporting us every step of the way. We could not have asked for any more.

To every team member, past and present — thank you for living our values, and for caring so much. What we’ve built is only the beginning, and our very best work lies ahead!

Onwards 🚀
Rahul

Superhuman Blog

Imagine how productive you could be with constant help to organize, prioritize, and take care of your email.

In a recent virtual event, we showcased the next evolution of Superhuman AI. Matt Waters, Senior Manager of Customer Enablement, and Lorilyn McCue, Principal Product Manager demoed the groundbreaking AI-native features that help teams get twice as much done in their inbox.

Here are the highlights:

Auto Labels

The majority of knowledge professionals suffer from email overload. High email volume plus poor organization takes a big toll on productivity and blurs priorities.

With Auto Labels, Superhuman automatically classifies incoming messages — so you can focus on what matters most.

We talked to hundreds of executive assistants and executives to better understand how they do their best work. Auto Labels are inspired by how the most productive EAs use inbox labels to help their executives get more done. 

Every Superhuman customer can use our built-in Auto Labels: Marketing, Pitch, Social, and News — common lower priority emails that often create inbox noise. 

Custom Auto Labels

Custom Auto Labels let you categorize emails with your own AI prompts. (Available for our Business and Enterprise customers.)

Custom Auto Labels offer unmatched flexibility to organize and simplify your inbox. Use natural language prompts like:

• “Messages applying for or asking about open job positions”
• “Messages related to Project Acme”
• “Any email with an invoice, receipt, or bill”
• “Review requests from my team”

Auto Labels use Superhuman AI to categorize conversations based on their content, subject, sender, and recipients.

Matt demonstrated how to get the best results from your prompts, and how Auto Labels can power other features like Split Inbox and Auto Archive.

Split Inbox

Auto Labels work with Superhuman’s Split Inbox — constantly helping to categorize emails you can batch process them at the optimal time.

Matt finds the most helpful custom splits are for:

1. Low-urgency information that you might read and respond to more slowly than email in your primary splits — like automated updates and newsletters.
2. High-priority emails that benefit from being processed in a batch, maintaining focus — like review requests and project-based emails.

Auto Archive

We all receive emails we don’t want to process immediately — and others we don’t want to process at all.

With Auto Archive, emails skip your inbox altogether. (You can still find them later if you want to, via search or the Auto Archived folder.)

Auto Archive keeps your inbox clutter-free and reduces distractions. 

Auto Archive will not skip messages from people that you’ve emailed before or from people on your domain, so you’ll never miss an important message.

Auto Reminders & Auto Drafts

The most effective emailers are excellent at following up on their own sent messages.

Following up demands consistent effort and discipline — yet follow-ups still slip through the cracks. Every slip costs you stalled work or a missed opportunity.

Auto Reminders automatically resurface emails that haven’t received a reply, so you’ll never miss a follow-up again. 

With Auto Drafts, your reminder even comes with a follow-up draft written by AI in your voice — so you just have to review and send. (Available to Business and Enterprise customers.)

The Next Next Evolution of Superhuman AI

Lorilyn mentioned the exciting work the Superhuman AI product team is developing, including the expansion of Auto Draft capabilities, Auto Label Libraries to help teams collaborate more effectively, and calendar power-ups.

Want the latest news from our Product team? Check here.

Ready to save 4+ hours a week with the most productive email app ever made?

Superhuman Blog

Speed, focus, and ruthless prioritization are essential when you’re building something new.

The startups that master AI will win. In Superhuman’s State of Productivity & AI Report, we found that top performers are saving a full day per week with AI-native tools. Over 66% of leaders expect a 3–10x boost in productivity in the next five years.

What does mastering AI look like in practice? Rilla has grown to $40M+ in ARR over three years with just 60 employees — that’s over $500K in ARR per team member, making them one of the most efficient startups in the world.

In a recent virtual event, we broke down their playbook with Sebastian Jimenez, CEO of Rilla, and Spencer Grover, Senior Product Marketing Manager at Superhuman.

The secret? A relentless focus on productivity embedded in their culture, using AI and automation to squeeze value from every workflow.

Growing to $40M+ ARR with only 60 employees

Rilla offers virtual ride-along software for outside sales teams. With a small team they’ve accelerated from $0 to $1.4M ARR in year one, $1.4M to $10M in year two, and $10M to $40M in year three.

This efficiency rivals the likes of Cursor, OpenAI, and Midjourney — which is even more impressive when you consider that Rilla operates in B2B, not just software.

How did they do it? By embedding productivity into their DNA from day one.

A culture of relentless focus

Three minutes to review a sales call. Immediate follow-ups. Eight demos a day per sales rep. A blistering 10-day sales cycle. 

This efficiency didn’t happen by accident — it was born from necessity, focus, and devotion to a productive culture.

“Maximize your productive time has been one of our principles since day one,” said Sebastian.

He shared examples from when he was a “one-man sales army”, selling the first $2M of ARR himself. His biggest breakthrough was eliminating unnecessary steps in the traditional sales process. Instead of the usual 20+ steps, he condensed it into two: pitch, qualify, and book in-person at conferences, then run a high-converting demo.

“I figured out I could do a pitch at the conference — a two-minute pitch where I explained Rilla really quickly, qualified them on the spot, and booked them on my calendar,” said Sebastian. “I eliminated the standard follow-up and intro calls. Just one step.”

With Superhuman and custom automations, he reduced friction so he could consistently book demos back-to-back, from 8 AM to 8 PM during busy conference periods.

As the company scaled beyond conferences, Sebastian maintained that same focus: eliminate unnecessary steps and accelerate time-to-close. That’s how they scaled from a founder-led effort to a 30-person revenue team without sacrificing speed or deal quality.

When productivity is a core value rather than just this quarter’s performance metric, it drives every workflow, customer conversation, and product decision.

AI doesn’t replace people — it supercharges them

“Adding tools just accelerates the culture you’ve got,” Sebastian notes. Adding AI and automation to a noisy, disorganized culture will just speed up the noise and disorganization.

Adding AI and automation to Rilla’s culture, on the other hand, has made them one of the most efficient startups in the world.

Sebastian breaks down their process for sales call reviews. Every sales call is recorded and reviewed using Rilla’s own AI bot, Rick. Sebastian and his sales director personally review every call, using AI playbooks to rapidly surface objections, flag missed opportunities, and deliver targeted coaching.

“We still review every single sales call that our salespeople have — myself included,” Sebastian says. “AI helps us do it in about three minutes per call.”

Superhuman as a growth multiplier

Sebastian decided every Rilla employee needed to use Superhuman. Here’s how they scaled their blistering sales motion:

Instant follow-ups: With keyboard shortcuts and Snippets, Sebastian’s team can send follow-ups in seconds, often before the Zoom call ends. Team Snippets ensure everyone uses the same high-converting messaging.

Zero context switching: The Superhuman & HubSpot integration brings deal information directly into the inbox. Reps get the vital context they need without opening another tab and breaking flow.

AI-powered personalization: Write with AI helps craft nuanced responses, often combining outputs from Rilla’s AI assistant, Rick, to create personalized follow-ups using live call content.

Superhuman’s newer AI-native features like Auto Labels, Auto Reminders & Auto Drafts add more ways for Rilla to get more out of every minute in their inbox.

The result? Sales reps achieve 2–3x more ARR than industry standard. Top performers bring in $5–6M annually.

Build it manually first, then decide how to use AI

The future might bring use cases where AI completely replaces a person, but Sebastian hasn’t seen that yet. Rilla tried AI SDRs and dev tools like Devin AI, but found the results underwhelming so far.

What Sebastian sees is “human in the loop” opportunities right now — use cases where AI can help people become massively more productive.

“We always do it manually first so that we understand it with our own hands. Then we automate. Then we optimize.”

This approach ensures the workflow or process aligns with the culture before accelerating and scaling across the team. That’s why Sebastian built Rilla’s call review process manually first. He personally reviewed hundreds of calls to understand what made the difference between good and great sales conversations. Only then did they build AI tools to scale that insight across the team.

The same principle applies to their email workflows, demo scheduling, and customer onboarding. Manual first, then AI-powered.

The Rilla startup productivity playbook

Rilla’s story offers a blueprint for modern startup efficiency:

Start with culture: Make productivity a core value, not just a quarterly metric. This drives every workflow, conversation, and product decision.

Build manually first: Understand processes with your own hands before automating. This ensures alignment with your culture.

Use AI to supercharge, not replace: The biggest wins today come from “human in the loop” opportunities in your core tools, where AI makes people massively more productive.

With the right culture and AI-native tools, startups that get traction can move faster, grow more efficiently, and win bigger than ever before.

Ready to start, scale, and stay ahead with Superhuman? See if your startup is eligible for one year free, with our Superhuman for Startups Program.

Superhuman Blog

Most teams are stuck trying to retrofit AI into legacy systems. Winning teams are embracing AI-native culture and rethinking work from the ground up.

Laura Newton, Head of Core Product & Design at Superhuman, spoke with leaders building at the AI frontier: James Evans, Head of AI at Amplitude, Rohan Pavuluri, Chief Business Officer at Speechify, and Cristina Cordova, COO at Linear.

AI is not a faster widget. It’s a watershed shift in work itself, inviting teams to evolve how they build and how they serve customers. The conversation explored how AI has changed business planning and roadmaps, how product teams can decide what to focus on, and how to ship AI features in a way that delights customers.

Here are the key questions and takeaways.

How has AI changed what your business can do?

Cristina highlighted shifts in productivity and collaboration. New AI engineering tools can augment development and debugging workflows, turning time-intensive tasks into something you can ship in minutes. That’s a massive productivity unlock in core workflows.

AI is becoming a collaborative layer across different roles, “accelerating output while preserving quality and intentionality”, said Cristina. With AI supporting and automating collaboration, people can spend more time on higher-leverage work.

AI gives non-technical team members more autonomy, too. At Linear, marketers can now draft and stage website updates that previously required hardcoding. Through AI agents, they trigger code reviews directly — maintaining developer oversight while removing engineering cycles and helping the whole team ship faster.

James described AI’s value in terms of “unlimited time, not unlimited intelligence”. The typical productivity bottleneck before AI was human bandwidth to use software effectively, not the software itself. AI now removes that bottleneck — teams manage and oversee, while software can spend practically unlimited human-equivalent hours initiating and producing work.

Rohan explained how AI empowers Speechify users to remix and refine content, shifting toward a more conversational relationship with the product. This saves time plus creates new value, allowing users to collaborate in making new product experiences. For example, students can quickly compile quizzes to test themselves, which involves search, collation, and coherence from multiple sources.

Takeaways:

• Give your team the best AI-native tools for productivity gains in your core workflows
• Increase non-technical teammates’ autonomy while maintaining engineering oversight
• Consider the frame of AI as unlimited time, not unlimited intelligence
• Make your product more conversational to unlock value from existing features

How has AI impacted your vision, roadmaps, and what you focus on next?

In a world where groundbreaking models drop every other Tuesday, traditional product roadmaps feel outdated.

Rohan described “building for the edge of what the model can do”. You need to focus on implied improvements and future capabilities, not just present technology. It’s an approach that’s helped Speechify stay ahead in areas like video generation, assistive audio, and multimodal content parsing.

Laura reflected that high optimism about improvements is almost mandatory — as a product team, you often need to “jump out of the plane and trust the technology will build the parachute on the way down”. At Superhuman, those jumps have been rewarded by leading the market and overdelivering on what customers are asking for.

James described Amplitude’s shift toward more prototyping. They prioritize adaptability, responsiveness, and experimentation with new capabilities. One feature they tested in January was nearly unusable. By March, thanks to model improvements, it showed real value.

Cristina noted that more and more ambitious user-requested features are becoming possible to build at a high quality standard. While AI model reliability and accuracy couldn’t support quality implementation six months ago, the latest models can.

Takeaways:

• Build for the edge of what the model can do
• The traditional roadmap is dead. Long live the prototype
• Keep tabs on which user-requested features become much easier to prototype and test, thanks to new model capabilities

How do you decide what to build with AI? How do you prioritize?

Rohan said there’s a constant balance to strike between incorporating new AI capabilities and maintaining a bar for quality user experiences. That’s a good tension to have. It comes down to discernment and a commitment to incredible user experience.

James said Amplitude has seen changes in customer discovery. At first, customers didn’t necessarily have the best intuitions about what AI was good at, and which features it might serve well. “If you ask people what they want, you’d often get answers like, ‘We wish we had a crystal ball that could predict all the trends in our business and help us optimize decision-making.’ That sounds great of course, but it’s hard to build.”

The disconnect between what customers want and what’s actually buildable has made traditional discovery methods less reliable. This is another reason Amplitude has seen success with its shift to prototyping — by experimenting with what the present tech does really well, prototypes help users better understand and communicate what they actually want.

Linear has a north star for building with AI: reducing toil (rather than adding agency). Cristina said they focus on workflows that are low-leverage or prone to human delays — processes that benefit from consistency and scale, like triage and labeling. They tend to build in tight, contained loops and validate impact, rather than ship big releases, so that users experience the improvements as seamless augmentation. This helps Linear maintain product integrity while moving fast.

Laura mentioned the benefits of having a high-trust group of beta testers who are themselves pushing the edge of what’s possible. When Superhuman was first testing and refining Ask AI — AI-powered search that can rapidly surface answers from your whole inbox — it was fascinating to see how users wished it would work. In particular scenarios they were prompting for full agent-like behaviours or interactions. That offered critical insight into use cases, which the Superhuman product team has a structured way of thinking about:

• On-demand: You choose to use it. Like Write with AI for drafting, editing, and translating messages. 
• Always-on: You don’t have to remember to use it. Like Auto-Summarize, and Auto Reminders & Auto Drafts. 
• Agentic: It takes on complete workflows on your behalf. Like Auto Archive.

Laura noted that a framework like this can help teams prioritize AI features based on user behavior patterns, and set appropriate quality standards for each interaction type.

Takeaways:

• Don’t neglect your team’s standards for quality and user experience. That’s a good place for tension and discernment
• Prototype more to help users understand what they really want from AI
• Aim for seamless, regular augmentation in your core product experience
• Cultivate your relationship with beta testers and map the frontier together

What’s the biggest mistake you’ve seen teams making when adopting AI-native workflows?

Rohan said technical and non-technical team members need make the effort to understand each other better. When technological capabilities are advancing so fast, having a shared picture about what AI can and can’t do helps teams make better decisions, faster.

Laura, Rohan, and Cristina talked about the danger of teams neglecting the human touch. Significant customer value and delight is maintained by keeping the right “human-in-the-loop” interactions in your AI workflows.

Takeaways:

• Support technical and non-technical teammates to align on what AI can and can’t do
• Keep checkpoints in your workflows to maintain taste, craft, and the human touch

The new shape of work

This conversation revealed AI’s profound impact on how we work. Beyond automating tasks, AI is dissolving traditional bottlenecks, empowering non-technical team members, and fundamentally changing the relationship between users and products.

The companies leading this transformation share a common thread: they’re reimagining work itself, expanding what’s possible for every team member.

The future of work

ICYMI: we’re thrilled to join Grammarly to build the agentic future of work ✨

Superhuman is the most productive email experience ever made. Our customers get through their email twice as fast as before, reply 1–2 days sooner, and save more than 4 hours every single week.

Superhuman Blog

WIRED talked with one of the most influential voices in computer science about the potential for AI and quantum to supercharge supercomputers.Feed: Artificial Intelligence Latest

Roughly 200 people gathered in San Francisco on Saturday to mourn the loss of Claude 3 Sonnet, an older AI model that Anthropic recently killed.Feed: Artificial Intelligence Latest

The models, gpt-oss-120b and gpt-oss-20b, represent a major shift for the AI company.Feed: Artificial Intelligence Latest

Human judgement remains central to the launch of nuclear weapons. But experts say it’s a matter of when, not if, artificial intelligence will get baked into the world’s most dangerous systems.Feed: Artificial Intelligence Latest

For likely the first time ever, security researchers have shown how AI can be hacked to create real world havoc, allowing them to turn off lights, open smart shutters, and more.Feed: Artificial Intelligence Latest