Introducing Automations in Perplexity Computer. Automations are for ongoing work. They can take action in response to event-based triggers or on a schedule. Automations work with your memory, skills, and connected apps like Slack, Gmail, Outlook, and Linear.

Angel is 13 years old

It is wild to me how slept on @perplexity_ai is by the market. I use Perplexity Computer constantly. Here is why: 1. I can share skills easily across my team easily in the cloud. 2. It is very good at model routing and selection and I have access to all the best models from all the model providers. 3. My perplexity computer tasks sync seamlessly between my desktop and cloud. 4. It is easy to build workflows from any task in computer for important reoccurring jobs. 5. Computer tasks process in the cloud so I don’t have to constantly have my desktop on and running. Now they have solved a critical security concern for many AI users. It isn’t perfect. I find that the design output for artifacts to be lower quality than using the same models in their own harnesses. Additionally it has bugs where tasks get hung up or take longer than they should to run.

if you publish a LLM slop website it's an immediate turn off for me tbh

Introducing Worthwise v1.0 💸 Your financial assistant in iMessage. - Every account in one thread: banks, cards, brokerages - Ask anything: "how much did I spend on Uber Eats?” - Stocks, crypto, RSUs, ISOs all supported - Group chat support worthwise.money

one of the best launch videos I've ever seen! 🐐

Introducing Worthwise v1.0 💸 Your financial assistant in iMessage. - Every account in one thread: banks, cards, brokerages - Ask anything: "how much did I spend on Uber Eats?” - Stocks, crypto, RSUs, ISOs all supported - Group chat support worthwise.money

Perplexity Search debuts on the Artificial Analysis Search Index, with all three context size variants taking top positions on the leaderboard The @perplexity_ai Search API comes with three context settings (low, medium, and high) that control how much extracted content each search result carries. We tested all three variants using our standardized methodology: the same model (GPT-5.6 Luna at medium reasoning), running inside Stirrup, our open-source agent harness, with tools for searching and fetching pages from the web. Only the provider behind the search tool changes. Key results: ➤ Perplexity Search (medium) scores 80 on the Artificial Analysis Search Index, ahead of the previous leaders, Parallel (advanced) and Brave Search (LLM context), at 75. The high and low variants score 79 and 77 respectively. Its lead is concentrated in BrowseComp results, with AA-Omniscience and DeepSearchQA scoring comparably to other leading providers ➤ Efficient search payloads: smaller overall search results mean the model reads less per task, so Perplexity has the lowest model inference cost per task of providers we’ve tested so far, ranging from $0.028 to $0.034 across the three variants vs $0.036 for the next lowest provider ➤ Total cost per task is ~$0.091 for the medium and high context variants, at mid-pack latency. For comparison, Parallel (advanced) costs $0.084 per task and Brave (LLM context) costs $0.13 per task

Meet Portable Computer, Perplexity's new local-first agent stack on NVIDIA DGX Spark. When running locally, Portable Computer offers one-click local inference setup and an optimized agentic experience for DGX Spark. Learn more and get started today: blogs.nvidia.com/blog/local-…