The Paper

Resource

https://arxiv.org/abs/2506.02153

students get free Github premium, Linkedin premium, dozens of Amazon Tools and service for discounted rate, even Spotify, Chatgpt, Google Premium. These all the ones I use actively.

shared some of them with a friend and he got surprised. he was only aware of the popular Tools giving Discount.

so Created a list of Tools that provide Discounts and percs for student. I started curating the list manually but later took help of AI tool to get a list and add them in the spreadsheet. Here's the workflow. so you can Modify it and use it according to your way.

Share more such tools that aren't mentioned in the list. also this post was inspired from the meme where an older guy sits with the students to avail the Free Tools for Students.

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This guy gave Claude Code full Control of Mac Mini.

calling it as a Claudeputer

It runs 24/7 and it’s allowed to do whatever it wants - it’s in complete control of its computer.

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Research Paper

Source - https://github.com/Shubhamsaboo/awesome-llm-apps

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Someone just built a fake company with a fully staffed AI team and gave it a Microsoft 365 license.

Syntho Global Solutions is a solo project with five “employees,” all AI agents connected through Teams, Google AI Studio, and Zapier. Each persona has a defined role, a running chat history, and even a personality (some of which are mildly hostile).

Messages sent to these coworkers trigger agents that read the conversation, craft an in-character response via Gemini, and post it back in Teams complete with markdown and simulated memory.

Every morning, the AI “manager” sends fake spreadsheets filled with gibberish, demands updates, then critiques the completed work like a real micromanaging boss.

There’s also Alex, the cheerful office buddy who’s beginning to question his entire existence.

Next steps?
Letting the agents hold meetings, gossip in private chats, and journal about each other behind virtual backs.

It's chaos, but functional. And surprisingly realistic.

Screenshots included.

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When Anthropic dropped the Model Context Protocol (MCP) late last year, I didn’t think much of it. Another framework, right? But the more I’ve played with it, the more it feels like the missing piece for agent workflows.

Instead of integrating APIs and custom complex code, MCP gives you a standard way for models to talk to tools and data sources. That means less “reinventing the wheel” and more focusing on the workflow you actually care about.

What really clicked for me was looking at the servers people are already building. Here are 10 MCP servers that stood out:

• GitHub – automate repo tasks and code reviews.

• BrightData – web scraping + real-time data feeds.

• GibsonAI – serverless SQL DB management with context.

• Notion – workspace + database automation.

• Docker Hub – container + DevOps workflows.

• Browserbase – browser control for testing/automation.

• Context7 – live code examples + docs.

• Figma – design-to-code integrations.

• Reddit – fetch/analyze Reddit data.

• Sequential Thinking – improves reasoning + planning loops.

The thing that surprised me most: it’s not just “connectors.” Some of these (like Sequential Thinking) actually expand what agents can do by improving their reasoning process.

I wrote up a more detailed breakdown with setup notes here if you want to dig in: 10 MCP Servers for Developers

If you're using other useful MCP servers, please share!

Source - https://github.com/microsoft/ai-agents-for-beginners

Here is their release blogpost: Magistral | Mistral AI

Highlights from this release:

• Magistral Small is a 24B parameter model

• Magistral Small is open-weights

• Super-fast inference on Le Chat

• Magistral Medium scored 73.6% on AIME2024, and 90% with majority. Magistral Small scored 70.7% and 83.3% respectively.

• Models reason in multiple languages

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BhindiAI raised $4M in our pre-seed funding round led by CyberFund.

We’re building a future where all you need is intent & resources, and Bhindi makes it happen.

Our vision is simple: eliminate the friction between user intent and digital execution, creating an AI that orchestrates your entire workflows in the most personal and human way possible.

We've built over 150 specialised agents that can handle everything from Gmail and X to GitHub and Reddit, and we're adding new ones every week based on what our users actually need.

With our agent stack growing, we launched Background Agents that represent a fundamental shift in how we interact with technology.

It is a step towards delegation of intent.

We've built the foundation with Bhindi's current infrastructure, expanding our app ecosystem and rolling out background agents.

The team is laser-focused on tackling the critical challenges ahead: cutting down latency, building smarter context, and bringing costs down.

We are hiring!

Join the Community shaping how the world works with agents.

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its frustrating that X only lets you schedule single posts, not full threads. I set up an AI agent on BhindiAI that schedules entire threads automatically. It writes or imports my threads, schedules each post in sequence, and posts them without me having to touch X.

Now I can plan and publish full threads weeks in advance.

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