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

Cheers to 23 years of awesomeness 🎉🎂 Blessed to have you in our lives ❣️ Wishing you a year filled with blessings, exciting discoveries, and continued impact on the🌎 https://t.co/TwQrW7LdL9

Thank you to my co-founder and close friend @humanscotti for the birthday wishes! https://t.co/8rJpkLKoln

@migtissera @BlackHC https://t.co/x4lCCz2KCR

By the way, public service announcement: if you're one of the numerous people posting about Anthropic's dystopian ways and you're thinking about getting Claude to help you write that post... don't! Another one of their terms is that you may not use Claude to do anything that "exposes [Anthropic to] reputational harms" 👇 And, if you do, under the - extremely unusual - clause 13 of their terms (https://t.co/z43rJNkvZu), you have PRE-AGREED, by using Anthropic (and accepted their terms), that the harm you've done is irreparable, that you won't oppose Anthropic injunction, and they don't need to prove actual damage. They can simply go to a judge in a friendly jurisdiction (and of course, their terms precise that any dispute "will be resolved exclusively in the state or federal courts located in San Francisco, California") and: a) file an injunction that shuts you down b) make you pay for everything since under section 11 of their terms you agree to indemnify Anthropic for "any and all liabilities, claims, damages, expenses (including reasonable attorneys' fees and costs), and other losses arising out of or related to your breach or alleged breach of these Terms." In other words, if you use Claude to help you talk shit about Anthropic publicly, their terms say you pay their lawyers to go after you and you've already pre-agreed you've lost the case. Oh, and cherry on the cake: in the odd case the judge were like "are you crazy, this is insanely abusive, you Anthropic are the ones at fault here," according to their terms Anthropic's maximum liability is... $100.

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Very pleased to hear Anthropic have walked back this policy https://t.co/8eOBDzTbCs https://t.co/DnW0h6feV8

are you kidding me https://t.co/107dvAohVn

are you kidding me https://t.co/107dvAohVn

NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me https://t.co/f3Aj9TYxU4

LLM model matrix https://t.co/d64OIhoYDH

LLM model matrix https://t.co/d64OIhoYDH