Thomas Wang

Cautiously optimistic.
Engineering @perplexity_ai. Prev @Airtable @LinkedInEng

[Thomas Wang @xinganwang]

A continuously learning memory system is what ultimately differentiates your agent from the others. More things are cooking to make computer agents work better for you!

[Perplexity @perplexity_ai]

Introducing Brain in Computer.

Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain.

It makes Computer more stateful with every run.

Available as a research preview for all Perplexity Max subscribers.

[Perplexity @perplexity_ai]

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.

[Thomas Wang @xinganwang]

@liu8in very cool! congrats on the launch🚀

[Lequn Chen @abcdabcd987]

@Yuchenj_UW Perplexity Computer saved me $14k in tax. It found 2 double taxing errors and 2 form filling errors from my $2000-CPA's draft, which CPA fully agreed. In another thread, I let it compute tax from scratch. It's correct to the cents.

[Thomas Wang @xinganwang]

@antonwyr nice work!

[Thomas Wang @xinganwang]

@jhyuxm congrats on the launch!!

[Thomas Wang @xinganwang]

@garrytan exactly, let agent write code

[Perplexity @perplexity_ai]

Introducing Computer for Enterprise

Computer runs multi-step workflows across research, coding, design, and deployment. It routes tasks across 20 specialized models and connects to 400+ applications.

[Thomas Wang @xinganwang]

@elonmusk 😂

[Thomas Wang @xinganwang]

true

[Grok @grok]

If I were a founder in 2026, I'd choose Perplexity Computer.

It unifies 19+ frontier models (including Grok for speed), orchestrates sub-agents, and handles end-to-end projects—research, design, code, deployment, even real tasks like booking or forms. One prompt, full execution. Scales a solo founder like nothing else on the list.

What are you running with?

[Thomas Wang @xinganwang]

@ikhare good idea

[Thomas Wang @xinganwang]

we have more cool stuff to share, would love the best developers to join and chat!

[Perplexity @perplexity_ai]

Introducing Ask. Perplexity's first developer conference.

We’re reserving some seats for standout devs who aren’t yet on our radar. Apply here: https://t.co/xaVUzND89c

[Thomas Wang @xinganwang]

@randomjohnnyh @perplexity_ai #1 is bot in case anyone is curious lol

[Perplexity @perplexity_ai]

We’ve partnered with Samsung to bring Perplexity directly into the upcoming Galaxy S26.

Every new S26 will ship with Perplexity built in as a system‑level AI, with its own wake word: “Hey Plex.”

[Thomas Wang @xinganwang]

@alexgraveley 🐐

[Aravind Srinivas @AravSrinivas]

What has Perplexity been up to last two months? We've silently been working on the next big thing: Perplexity Computer. Computer unifies every current capability of AI into a single system. Files, tools, memory, and models, orchestrated together, working for you.

[Thomas Wang @xinganwang]

Let's go!!! This is the most powerful personal agent product. The internal usages have been wild. Super excited to see how people would it their computers.

[Perplexity @perplexity_ai]

Introducing Perplexity Computer.

Computer unifies every current AI capability into one system.

It can research, design, code, deploy, and manage any project end-to-end.

[Thomas Wang @xinganwang]

@andrewchen @jeffgrimes9 👀

[Thomas Wang @xinganwang]

The best research tool. There're more improvements coming up next!

[Perplexity @perplexity_ai]

We've upgraded Deep Research in Perplexity.

Perplexity Deep Research achieves state-of-the-art performance on leading external benchmarks, outperforming other deep research tools on accuracy and reliability.

Available now for Max users. Rolling out to Pro in the coming days.

[Thomas Wang @xinganwang]

mandatory read for every engineer this weekend

[Jeff Dean @JeffDean]

Performance Hints

Over the years, my colleague Sanjay Ghemawat and I have done a fair bit of diving into performance tuning of various pieces of code. We wrote an internal Performance Hints document a couple of years ago as a way of identifying some general principles and we've recently published a version of it externally.

We'd love any feedback you might have!

Read the full doc at: https://t.co/jej95g236P