Categories
Agents Artificial Intelligence Claude Sonnet 3.7 Computer Science Copilot Cursor AI Data Science Education Engineering Gemeni 2.5 PRO IDE Information Technology IT Engineering OpenAI o4 Mini

Cursor AI Pro Goes Free for Students—A Game-Changer for Coding Education

Parents, Teachers: Students can now harness the power of AI-driven engineering!

Why? Because Cursor AI, with the Cursor PRO plan, is now completely free for students.

Cursor offers a transformative coding experience in two ways:

  • Accelerated Development: Type just a few letters, and watch Cursor complete entire algorithms, functions, and boilerplate code seamlessly.
  • Agent-Driven Development: Simply prompt Cursor in plain English (or any natural language), and it instantly translates your instructions into code—you command, Cursor codes.

This isn’t about skipping learning to code because AI can do it for you.

Quite the opposite.

The real message here is clear: Get your hands on this future-proof coding tool now AND learn to code. Mastering coding skills enhanced by AI is the only viable path to excel in both corporate and research environments.

Pro Tip: Cursor automatically selects the best AI model for the given task. However, FYI, the current top AI models for coding are GEMINI 2.5 by Google, Claude Sonnet 3.7 by Anthropic, and o4-mini by OpenAI.

Yannick HUCHARD

Categories
Artificial Intelligence Business Businesses ChatGPT Engineering EU AI Act GPT4 GPT4o Information Technology Innovation Llama Meta OpenAI Regulation Technology

✨ Llama 3.1, Meta and the EU AI Act – Where are the areas of synergy between innovation and regulation?

img 20240727 wa00033116017234937086313
Llama 3.1 AI model

Llama 3.1, a 405 Billion parameters model, has just been released by Meta.

It comes with increased performances. Some early tests make it comparable to “GPT4o“.

A few perks:

  • Still #opensource
  • 128K token context window
  • Improved Multilingual Support. Meta is a leader in multilanguage models.
  • Comes with a new security and safety tool for advanced moderation and control mechanisms to ensure safe interactions.
  • Improved capabilities for creating synthetic data.

I find the partner ecosystem, including NVIDIA, Google Cloud, Microsoft, Groq supporting Llama already quite impressive (see picture).

But also…

While the EU AI Act has been officially published on July 12, 2024, in the EU official journal, to come into force on August 2, 2024, Meta made worrisome news for the #artificialintelligence open source community.

In a nutshell, Meta will withhold the rollout of multimodal AI models in the EU region until the regulatory rules are clarified.

The EU AI Act contains explicit rules for foundation models, also known as “general-purpose AI models”, amongst the following:

  • Article 51: Classification of general-purpose AI models as general-purpose #AI models with systemic risk
  • Article 53: Obligations for providers of general-purpose AI models
  • Article 55: Obligations for providers of general-purpose AI models with systemic risk
  • Article 56: Codes of practice

Let’s hope we will find a way to balance #innovation and #regulation.

🫡

Categories
Artificial Intelligence Automation Business Business Strategy Engineering Innovation Robots Strategy Technology Technology Strategy

Update on Tesla’s Optimus #Robot – it is progressing fast

Tesla’s Optimus Robot learning from humans

The most impressive part is the technique employed by the Tesla team for accelerating the robot’s dexterity: the robot physically learns from human actions. 

Now, let’s step back and analyse Tesla’s master plan here:

(Putting on my business tech strategy goggles) 

1. Tesla builds electric cars augmented with software programmability.

2. Tesla provides an electric grid as a service.

3. Tesla builds gigafactories that maximize the automation of car manufacturing. Almost every single part of the pipeline is robotized and optimized for speed of production.

4. Tesla builds Powerwalls (by providing energy storage, it also creates a decentralized power station network).

5. Tesla brings autonomous driving (FSD) to Tesla cars. Essentially, cars are now transportation robots governed by the most advanced AI fleet management system.

6. Tesla builds its own chips (FSD Chip and Dojo Chip)

7. Tesla builds its own supercomputers.

8. Tesla launches Optimus, which aims to replace the human workforce in factories and warehouses.

9. X.ai, which has recently raised $6 billion, X’s supposedly “child” AI company, brings the Grok AI model trained on X/Twitter data. While you may say X data is not the best, X has a algorithm balanced with human judgment (community notes), AND the company regroups the largest set of news publishing companies. Basically, it automates curation and accuracy.

10. A version of the Grok AI model will likely power Optimus’s human-to-robot conversational interface.

11. Tesla cars will be turned into robotaxis, disrupting not only taxi companies but also Uber (the Uber/Tesla partnership may not be a coincidence), and eating into the shares of Lyft and BlaBlaCar.

12. Tesla will enter the general services business, and retail industries to offer multi-purpose usage robots – cleaning services for business offices, grocery stores, filling the workforce shortage in the catering (hotel-restaurant-bar…) industry, etc.

Tesla is not the only one moving in the “Robot Fleet Management” business. Chinese companies like BYD (EV) offer strong competition, and there are several robot startups (like Boston Dynamics and Agility Robotics) racing for the pole position.

#AI #artificialintelligence #Robotics #Optimus #EV #software #EnergyStorage #Automation #powerwall #AutonomousVehicles #FSD #chips #HighPerformanceComputing #Robots #GrokAI #NLP #robotaxis #innovation #WorkforceAutomation