China’s advancements in artificial intelligence are poised to unleash a wave of innovation more than 100 DeepSeek-like breakthroughs within the next 18 months, according to a former top Chinese government official.
Source: Youtube

China’s advancements in artificial intelligence are poised to unleash a wave of innovation more than 100 DeepSeek-like breakthroughs within the next 18 months, according to a former top Chinese government official.
Source: Youtube

AI’s impact on modern warfare: Here’s what to know.
Source: Youtube

IBL News | New York
Salesforce is utilizing AI tools for 30% to 50% of its software engineering and customer service work, achieving a 93% accuracy rate, according to its CEO, Marc Benioff [in the picture above].
The San Francisco-based software company is currently selling an AI product that promises to handle customer service tasks without human supervision.
This automation is another example of a large company replacing labor with AI tools.
Recently, executives at Microsoft Corp. and Alphabet Inc. announced that AI is generating approximately 30% of new computer software code on specific projects within their companies.
“All of us have to get our heads around this idea that AI can do things that we were doing before,” Benioff said. “We can move on to do higher-value work.”

How AI is reshaping customer service experiences.
Source: Youtube

Teachers using AI every week are saving six weeks of their school year.
Source: Youtube

Have you ever interacted with an AI chatbot and wondered how it’s so incredibly good? The strange truth is, even the experts don’t fully understand why these systems work so well.
Source: Youtube

AI-generated misinformation has flooded the internet since the start of the war between Israel and Iran.
Source: Youtube

Hypercompetitive AI hiring: There’s not enough people to fill these jobs.
Source: Youtube

AI reasoning models were supposed to be the industry’s next leap, promising smarter systems able to tackle more complex problems.
Source: Youtube

IBL News | New York
Researchers at MIT presented a model called SEAL (Self-Adapting Language Models) that enables LLMs to learn to generate their own synthetic training data based on the input they receive and learn from their experiences. This AI model that never stops learning tries to mimic human intelligence.
Currently, the latest AI models can reason by performing more complex inference. By contrast, the MIT scheme generates new insights and then folds them into its own weights or parameters.
The system includes “a reinforcement learning signal that helps guide the model toward updates that improve its overall abilities and enable it to continue learning,” explained MIT at Wired.
The researchers tested their approach on small and medium-sized versions of two open-source models, Meta’s Llama and Alibaba’s Qwen. They say that the approach ought to work for much larger frontier models, too.
Researchers noted that SEAL is computationally intensive, and it isn’t yet clear how best to schedule new periods of learning.
“Still, for all its limitations, SEAL is an exciting new path for further AI research, and it may well be something that finds its way into future frontier AI models,” said these researchers at MIT.