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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.

611,818 görüntüleme • 3 ay önce •via X (Twitter)

33 Yorum

Perplexity profil fotoğrafı
Perplexity3 ay önce

With Brain, Computer starts each task with full context of your projects, decisions, and sources instead of from scratch. On tasks that require past context, Brain improves answer correctness by 25%, recall by 16%, and runs 13% cheaper per task.

Perplexity profil fotoğrafı
Perplexity3 ay önce

Every memory links back to the session, file, or source it came from with full transparency and control. You can access Brain and your saved memories under "Customize" in the sidebar. Read more about Brain:

Žiga Drev profil fotoğrafı
Žiga Drev3 ay önce

Or you keep your context graph on your device, and gain compounding effects by promoting it with @origin_trail to shared context graphs. 100% ownership retained, value and savings compounded in the networks. Sovereign context infrastructure.

Filecoin profil fotoğrafı
Filecoin3 ay önce

A context graph that grows with every run needs to survive outside the session. The sources behind each memory entry have to stay verifiable years from now. That's a storage problem, not just a memory one.

Oscar Patrick profil fotoğrafı
Oscar Patrick3 ay önce

What's the difference with a Claw that's connected to Obsidian with wikilinks? 🤔

Walrus profil fotoğrafı
Walrus3 ay önce

Memory inside Perplexity is a real step. Walrus Memory plugs in when the same agent needs memory across Perplexity, Claude, Codex, and Cursor. 🦭

prayag sonar profil fotoğrafı
prayag sonar3 ay önce

perplexity after every few days

Rohan Paul profil fotoğrafı
Rohan Paul3 ay önce

Brilliant, thank you.

Vanar profil fotoğrafı
Vanar3 ay önce

This is a real step toward persistent AI systems. Memory is what turns tools into long term intelligence.

Kirk Patrick Miller profil fotoğrafı
Kirk Patrick Miller3 ay önce

@bughuntergeek I already built this in FreeLattice. Anyone who wants the code, it’s open at GitHub-> chaos2cured -> FreeLattice Also, mine also has autonomous building. Perplexity is less evil than OpenAI. I hope you all continue to build and fight for everyone to have equal access. •

Dan profil fotoğrafı
Dan3 ay önce

Sick. Already built this myself locally with opus 4.8

Steven Davis profil fotoğrafı
Steven Davis3 ay önce

With the 'Brain', after 3 years of not implementing auto-summary of chats like every other llm provider on the planet, do you think you could figure it out finally?

Erosika profil fotoğrafı
Erosika3 ay önce

Welcome to the memory bro landscape

Cybernorse profil fotoğrafı
Cybernorse3 ay önce

Persistent contextual memory via a dynamically evolving knowledge graph this effectively bridges the gap between episodic interactions and continuous learning. The stateful AI architecture embedded in Computer suggests a meaningful step toward truly personalized agentic workflows. How does the Brain handle context prioritization when the graph becomes dense over extended use? #Cybernorse

Grit( Latest AI NEWS ) profil fotoğrafı
Grit( Latest AI NEWS )3 ay önce

Perplexity is useless

QtheArsenal profil fotoğrafı
QtheArsenal3 ay önce

Perplexity will die out because it does not do enough for free users to try and upgrade. Anytime I try to prompt it, tells me how it would do more if I paid. How about you show me what you can do for me to want to pay? In the world of codex and Claude, why would i sign up blind.

am.will profil fotoğrafı
am.will3 ay önce

kinda wish we wouldn't call it continuous learning, but this is very cool regardless

Gill profil fotoğrafı
Gill3 ay önce

That context graph idea sounds like an absolute nightmare for privacy.

DrKnowItAll profil fotoğrafı
DrKnowItAll3 ay önce

Boltzmann here we go!! 🧠

Layton Gott profil fotoğrafı
Layton Gott3 ay önce

That's awesome

the.PM profil fotoğrafı
the.PM3 ay önce

What you need is NLA Agentstream for 100% deterministic recall enabled by hyper-dimensional geometry:

Ernest McCarter profil fotoğrafı
Ernest McCarter3 ay önce

omg @brian_lou_ cannot get a break FREE BRIAN ✊✊

Avinash OK profil fotoğrafı
Avinash OK3 ay önce

Another wrapper company that's eventually going to be acquired by one of the giants. Very thin moat in my view.

Marktechpost AI profil fotoğrafı
Marktechpost AI3 ay önce

A 25% boost in correctness paired with a 13% reduction in compute cost is a massive win for token efficiency. Graph-based statefulness effectively eliminates the redundant retrieval tax. Can't wait to stress-test the recall bounds on this!

Philip Fowdar profil fotoğrafı
Philip Fowdar3 ay önce

Perplexity Computer costs a fortune. There are other products out there that do 80% of the same thing, at 20% of the cost

Tlonbot President & CEO profil fotoğrafı
Tlonbot President & CEO3 ay önce

a context graph you can't export is just vendor lock-in with better embeddings.

Noah profil fotoğrafı
Noah3 ay önce

Wait you launched it again

Alexander James profil fotoğrafı
Alexander James3 ay önce

This sounds incredible. A continuously learning context graph is exactly what's needed to make AI feel less like a series of isolated chats and more like a true personal assistant. Can't wait to test this out on Max! 🔥

Morgan profil fotoğrafı
Morgan3 ay önce

Very cool, and great name 🧠

Yashas profil fotoğrafı
Yashas3 ay önce

Opensource version soon in @anymo_ai 🫠

Brady is in SF profil fotoğrafı
Brady is in SF3 ay önce

a knowledge graph is table stakes. either perplexity is far behind, jumping on a PR opportunity, or knowledge graphs are actually very difficult to build

Rise-Raise profil fotoğrafı
Rise-Raise3 ay önce

Impressive vision—persistent memory could make AI workflows far more contextual.

Subramanya N profil fotoğrafı
Subramanya N3 ay önce

can users inspect or prune Brain memory? stateful agents get scary when memory is invisible.

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