Sleep issues are commonly reported by women experiencing menopause. Consulting a healthcare professional is crucial for tailored guidance and treatment plans that consider the interplay of menopause and sleep-related challenges. #sleepapnea #InSomnia #restlesslegs #menopause https://t.co/DgcJcU2Esw

Here are some common sleep issues women experience during menopause: #menopause #sleep #womenshealth #InSomnia #anxiety #depression #sleepapnea https://t.co/lDOcAOZF8g

How do hot flashes and night sweats impact your sleep? #womenshealth #menopause #sleep #health https://t.co/RPyMecm5fW

Personal Computer is coming to Windows. Personal Computer for Windows runs on your machine and orchestrates across the apps and files you use every day. We'll roll out first to paying Max and Enterprise Max subscribers on the waitlist. https://t.co/ICxWY8ShqZ

Canva @canva is now inside @perplexity_ai Research → design → publish. All in one flow. Ideas turning into visuals in seconds. https://t.co/VhrNWlN6zz

The Guidepoint MCP is now available in Perplexity Computer, allowing Guidepoint customers to integrate 100,000+ expert interview transcripts into their finance AI workflows, with traceable citations back to the original transcript. https://t.co/7kTI6nTkoA

Perplexity Computer is for growing businesses. Computer connects to 400+ tools for every type of company, including Intuit QuickBooks, Vercel, Shopify, Canva, and more. Learn more about how people are using Computer for their business: https://t.co/mGH1cveGZj https://t.co/br4yxflUwe

Today we're launching the Main Street AI Accelerator with the U.S. Small Business Administration. We're committing $25M in Computer credits, $250 each for up to 100,000 eligible companies, in honor of America's 250th anniversary. Learn more: https://t.co/oBnDrVpugo https://t.co/dYkJ3YcinT

Nemotron 3 Ultra is now available for Pro and Max subscribers on Perplexity and Computer. It's @nvidia's new open model built for long-running agents. https://t.co/uTvs8rn2Vs

This week, I was honored to deliver the Computex 2026 keynote in Taipei. From silicon to systems to software – Intel's vision for the future of computing spans across Personal Computers and Edge devices to Data Centers and Intelligence Centers. Thank you to the many colleagues and friends who joined me in presenting this vision. It was wonderful to reconnect with so many customers, partners, and longtime friends on “Silicon Island.” Thank you for your support. We are just getting started on our journey to build a new @intel.

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Thank you @LipBuTan1 and @intel for working together with Perplexity on bringing Personal Computer with local models and hybrid inference to Intel Ultra Series 3 laptops! https://t.co/pxEwUFtwMH

Similarweb data is now available inside @perplexity_ai You can now access trusted market, audience, and competitive intelligence directly inside your AI workflows, either via our native integration in Perplexity Computer, or via our official connector for existing Similarweb customers. >>

We published new research with Harvard on the shift from chat interfaces to autonomous agents like Computer. Over 3 months, findings show workers using Computer finish tasks in 87% less time at 94% lower cost than Search alone, with higher satisfaction. https://t.co/qmcUqcj8CI https://t.co/R4oTLavC6T

Quartr is now available as a native MCP connector in Perplexity Computer. Through the 43 tools in the MCP, Quartr customers can bring first-party IR data, real-time and historical earnings call transcripts, and filings for 15,000+ public companies into their AI workflows in Computer.

1,500 teams entered the Billion Dollar Build and have been building for 7 weeks. 8 finalists present live on June 9 to our judges @LewisHamilton (7x World Champion Driver), @AravSrinivas (CEO, Perplexity), and @richminer (Co-Founder, Android). Register: https://t.co/INMkvH9802 https://t.co/soIo4LcYzf

Yesterday at London Tech Week we announced the Billion Pound Build competition. Teams can enter to secure a share of £1M in Computer credits by using Perplexity Computer to build their company. The pitch phase is open now and closes on 6 July. https://t.co/mM3zmYL1Pw

Claude Fable 5 is now available in Computer as an orchestrator model. This is Anthropic's state-of-the-art model for long, complex tasks. Available only to Pro and Max subscribers in Computer. https://t.co/TvpfwDkxG4

We're integrating Deep Research as a native skill inside Computer. It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data. Available now to Pro and Max subscribers. https://t.co/uHpVISkh2P

Deep Research in Computer is built on our Search as Code architecture. The model writes code that assembles search itself, running thousands of retrieval steps in parallel, tailored to each question. It outperforms legacy Deep Research on every benchmark. https://t.co/0BrQjt8iGc

Perplexity Computer is an agent harness that just keeps delivering. Deep Research is now a native skill inside Computer (you don’t have to explicitly think of using it as a standalone mode anymore as long as you’re using Computer), furthering the state of the art significantly https://t.co/yVSy0374dN

reading Cloudflare report after testing Mythos to hunt and test exploits. my takeway. agent+harness > basic agent unrelated: Monad is the 3rd major crypto hack in less than a week https://t.co/C3eA4AWhNY

Meet LM Studio's mobile app. Your local models, now in your pocket. https://t.co/eQ04Q32YTd

Considering #crowdfunding? Burst the bubble first! | Crowdfund Insider http://t.co/pajIPIKPkt

NitroGen just won CVPR Best Paper Honorable Mention!! We are making strides towards general-purpose embodied agents that master not only the real world physics, but also all possible physics across a multiverse of simulations. It’s been 4 years since MineDojo, our first embodied agent in Minecraft, won NeurIPS Best Paper. Congrats to everyone on the team!!

This week at #CVPR2026, NVIDIA Research is presenting three papers across physical ai that offer groundbreaking solutions for training at scale across diverse applications: → GraspGen-X: the first foundation model for zero-shot grasping, trained on billions of simulated grasps → LCDrive: a model that replaces expensive text-based reasoning with compact latent representations → NitroGen: a generalized gameplay AI foundation model that harnesses NVIDIA Isaac GR00T to help train embodied agents Learn more: https://t.co/H748YkAWS9

@DavidSacks @zerohedge @stratechery You really should read my substack @DavidSacks (and others). I laid out basically the same argument last week, and showed how they had been following the same strategy — which I called scare, hype, and release — since 2019. https://t.co/ljsu8zKNvr lots of other stuff i published there first, like this in January 2024, extremely relevant now:

Anyone considering investing in SpaceX should have a peek at this analysis from @andrewmccalip https://t.co/14SjemiFFd https://t.co/N9Qab8j0nS

New preprint! We introduce a new benchmark, SciConBench, with 9.11k scientific questions derived from Cochrane Systematic Reviews. We find evidence that frontier AI agents **cannot** synthesize scientific conclusions well. A thread 🧵 w/ @hayounggjung, @korolova & others https://t.co/inezYqvQtm

The margin of safety is almost gone Hyperscaler capex is approaching telecom bubble levels as a % of operating cash flow... and once the buildout starts leaning more on equity & debt the market is going to look at it differently https://t.co/0hMmLkdrGA

What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15) https://t.co/SqQKjrEjUF

🟡 Exclusive: Nvidia exec says data centers’ adverse impacts, including higher electricity costs, are smaller than people think and “the benefits are very, very significant.” https://t.co/Yctul8ulcj

"The costs of token are far higher than the actual value that these tokens are generating at scale," @Cisco's @jpatel41 tells @ReedAlbergotti. "The big risk in the market is, if you don't create an equilibrium there, then people just pull back on using tokens." https://t.co/aIjIY5J4Hv