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Welcome back, AI enthusiast.
Perplexity just launched Brain, a self improving memory system that remembers an agent's work instead of your preferences.
Early tests show better accuracy and lower cost. Could this redefine what AI memory means?
Today in the “Incredible AI” world:
Perplexity Gives Its Agent A New Memory
Google Borrows Nvidia's Own Game Plan
Liquid AI Launches Multilingual Search
Build a Prospect List in Minutes with AI
5 Super-Useful AI Tools You Should Try
Top AI-Generated Image of the Day
Read Time: 4 minutes
- LATEST DEVELOPMENTS -
Perplexity's AI Agent Just Got A Lot Smarter:
Perplexity just introduced Brain, a fascinating new memory system for its AI agent. Computer now remembers its own past work, not just your preferences. That transition could make AI agents sharper over time.
Things to Know:
What Brain Actually Remembers: Brain completely ignores personal preferences and habits altogether. It remembers what the agent attempted, what failed, and what corrections eventually worked.
How The Context Graph Works: Computer quietly builds a living context wiki across your projects every night. Each memory entry links directly back to its original source.
The Early Performance Numbers: Perplexity reports a twenty five percent correctness jump on previously seen tasks. Costs dropped thirteen percent on assignments needing historical context.
Who Can Actually Use It: Brain starts rolling out today, strictly for Perplexity Max and Enterprise Max subscribers. Everybody else stays curiously parked on the sidelines.
Memory in AI used to mean remembering your personal taste and habits. Now it increasingly means an agent that learns from its own mistakes overnight. Tomorrow's tasks might genuinely get noticeably easier.
Google Adopts Nvidia Playbook For AI Chips:
Google is stepping into the AI chip arena with confidence. By mirroring Nvidia’s approach, it aims to create a full ecosystem of hardware, software, and developer tools that could reshape the competitive landscape.
Things to Know:
Nvidia’s Playbook: Nvidia dominates AI chips by pairing GPUs with CUDA software, developer support, and ecosystem lock‑in. Google is now adopting this same integrated model for its own hardware ambitions.
Google’s Strategy: The company is building custom AI chips, expanding Tensor Processing Units, and aligning them with cloud services. This ensures developers can scale workloads seamlessly within Google’s ecosystem.
Competitive Edge: By offering chips optimized for Google Cloud, the company reduces reliance on Nvidia. It also positions itself as a cost‑effective alternative for enterprises seeking diverse compute options.
Google’s chip push isn’t just about hardware—it’s about control. By owning the stack, it can dictate performance, pricing, and innovation. For enterprises, this could mean more choice and faster AI adoption.
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Did you recently see an ad for Roku Ads Manager in a newsletter? We’re running a short brand lift survey to understand what’s actually breaking through (and what’s not).
It takes about 20 seconds, the questions are super easy, and your feedback directly helps us improve how we show up in the newsletters you read and love.
If you’ve got a few moments, we’d really appreciate your insight.
Liquid AI Upgrades Search Across Languages:
Search engines have always loved some languages more than others. Liquid AI wants to change that. Its latest models help search systems understand and retrieve information across eleven languages with surprising speed.
Things to Know:
Two Models One Goal: Liquid AI released LFM2-5 Embedding 350M and LFM2-5 ColBERT 350M. Both focus on making multilingual search faster and more accurate.
Built For Better Retrieval: The embedding model converts text into searchable representations. The ColBERT model then improves ranking precision without slowing everything down.
Eleven Languages Included: The models support eleven languages in a single system. That means fewer language barriers and fewer search results that completely miss the point.
The spotlight usually lands on flashy chatbots and giant models. Quiet infrastructure upgrades rarely trend. Yet improvements like these often determine whether AI feels smart or simply lucky.
- TRY THIS -
How to Find B2B Leads Instantly Using AI:
Finding the right person to reach out to is half the battle in sales. You know the company you want to target, but figuring out who actually makes the buying decision, then finding their verified email and direct phone number, can eat up hours that should have gone into actual outreach.
Seamless.AI is a real-time B2B prospecting tool that searches over 1.7 billion professional contacts and 150 million companies to surface verified emails and phone numbers instantly. Instead of a static database that goes stale, it checks and enriches contact data in real time every time you search.
Here's how to use it:
Sign up and run your first search: Create a free account and open the search engine. Filter by job title, industry, company size, location, revenue, and seniority to zero in on your exact target profile. Seamless surfaces matching contacts with verified contact details pulled in real time.
Find decision-makers on LinkedIn: Install the Chrome extension and it works directly on top of LinkedIn and LinkedIn Sales Navigator. Browse a profile and Seamless instantly shows you that person's verified email and direct dial without leaving the page.
Use buyer intent signals: The platform shows you which prospects are actively researching products like yours right now, and flags when a decision-maker changes jobs so you can reach out at exactly the right moment.
Generate personalized outreach with AI: Once you have your leads, use Pitch Intelligence to get AI-generated talking points, personalization cues, and outreach messages tailored to each prospect based on their role, company, and context. No generic templates.
Push leads straight into your CRM: Seamless integrates with Salesforce, HubSpot, Outreach, and over 6,000 other tools. Contacts sync directly into your existing workflow so there is no manual data entry and no copy-pasting between tabs.
If your sales process starts with finding the right people to talk to, this cuts that part down from hours to minutes.
8 levels of context maturity in AI-native engineering
More MCPs give agents access to information, not understanding. You agents are still missing the context to generate output you can fully trust. This 8-level model explains where teams get stuck and what fixes it. Join this live webinar on June 24 (FREE) and grab the free assessment to see where your team stands.
- BEST AI TOOLS -
Cursor: Cursor is an AI-first code editor that can rewrite, explain, and generate code right alongside you as you work.
Tabnine: Tabnine is an AI code completion tool that learns from your codebase to suggest accurate whole-line and full-function completions.
Continue: Continue is an open-source AI code assistant that brings Copilot-like features to VS Code and JetBrains with full model flexibility.
Pieces for Developers: Pieces saves your best code snippets with context and lets you find and reuse them intelligently across your projects.
Mintlify: Mintlify automatically generates beautiful developer documentation from your codebase and keeps docs in sync as your code changes.
- DAILY POLL AND RESULT -
Today’s Poll:
Q) Is AI changing how people learn languages?
Vote and find out the result tomorrow.
Yesterday’s Result:
Q) Should AI help price products?
A) Yes, market analysis wins - 53% 👑
B) No, brand perception matters - 47%
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- AI IMAGE OF THE DAY -
Skilled Tabby Cats Tackle Construction Work:
Prompt:
“Photorealistic square photo of two anthropomorphic tabby cats working at a dusty outdoor construction site in harsh afternoon sunlight. An orange tabby in a yellow hard hat, orange safety vest, and gloves holds a wooden log on a rough workbench, while a grey tabby raises an oversized hammer to strike it. Half-built wooden frame, scattered tools, sawdust particles, shallow depth of field, cinematic grain, realistic fur detail.”
Try this prompt in any decent AI image generator and let me know your result.
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I put this together every day so you do not have to spend your morning hunting down AI news yourself. Would be a shame if it ended up buried under discount codes and bank alerts.
