If life was a programming language...
what would be its first line?

@Learnobit

🤖 Meta Offers a Huge AI Discount for Your Data

Meta has introduced a new pricing option for its AI model, Muse Spark, which is designed for coding and AI agents.

The company is offering a strong incentive: users can get a major discount if they allow Meta to retain their prompts and AI outputs. Meta can then use this information to improve future AI models.

This means Meta could leverage real user interactions to make its AI systems better. In return, developers can access the model at a much lower price.

However, this deal comes with a privacy question. Developers and companies often work with sensitive information, including private code, customer data, and internal business details. For some users, protecting this information may be more important than getting a cheaper AI service.

Would you let an AI company use your prompts in exchange for a huge discount? 🤔

✅ Level: Pre-Intermediate
🔗 Source: TechCrunch
#News

🤖📚 Authors Challenge Claims on Anthropic’s $1.5B Settlement

Anthropic’s $1.5 billion copyright settlement is facing new problems after some authors said publishers and literary agents were making unexpected claims on their payments.

The settlement covers nearly 500,000 books that were used to train AI models. Authors may receive around $3,000 for each work, but the payment depends on who owns the publishing rights.

Some writers say publishers are asking for money from books whose rights had already reverted to the authors. Others say certain publishers are requesting 100% of payments when they may only be entitled to half.

Experts say the problem may be caused by poor record-keeping rather than intentional wrongdoing, but the number of similar complaints suggests the issue could be more widespread.

✅ Level: Intermediate
🔗 Source: TechCrunch
#News

🤖 AI Has a New Language — and Developers Need to Keep Up

Artificial intelligence is evolving so quickly that understanding AI now means learning a constantly changing vocabulary. TechCrunch has updated its AI glossary to explain some of the concepts developers are increasingly likely to encounter.

One emerging technique is opaque recurrence, where a model repeatedly processes a query through its internal layers instead of reasoning step by step in readable language. This can improve efficiency, but it may also make the model's internal reasoning harder to inspect.

The glossary also highlights how increasingly autonomous AI systems can perform tasks with less human involvement. At the same time, researchers continue to discuss emergent capabilities — behaviors that can appear as AI systems become more advanced.

Even familiar concepts such as AGI remain nebulous, with researchers and companies using different definitions. As AI develops, understanding the language around it is becoming an important skill for developers working with modern technology.

Which new AI term have you learned recently?

✅ Level: Upper-Intermediate
🔗 Source: TechCrunch
#News

🤖🔐 AI Agents Bring New Security Risks

AI agents are becoming more common inside companies. They can work with company systems and access sensitive information, sometimes at much higher speed than human workers.

This creates a new security problem. Companies may not always know what information an AI agent can access. Security startup Cymphony says it helps businesses find this exposure and see which employees and AI agents can reach important data.

The company can also check access permissions and help security teams fix problems automatically. This process of fixing security problems is called remediation.

Cymphony has now raised $30 million in total funding as companies look for better ways to control AI agents in the workplace.

Source: TechCrunch

✅ Level: Elementary
🔗 Source: TechCrunch
#News