Today in News History

On July 12, several notable moments in the history of News stand out. In 1913, Willis Lamb, American physicist and academic, Nobel Prize laureate (died 2008) was born. In 1913, The Second Revolution breaks out against the Beiyang government, as Li Liejun proclaims Jiangxi independent from the Republic of China. In 1933, Victor Poor, American engineer, developed the Datapoint 2200 (died 2012) was born. In 1952, Voja Antonić, Serbian computer scientist and journalist, designed the Galaksija computer was born. In 1962, Luc De Vos, Belgian singer-songwriter and guitarist (died 2014) was born. In 1969, Anne-Sophie Pic, French chef was born. In 1984, Jonathan Lewis, American football player was born. In 1995, Chinese seismologists successfully predict the 1995 Myanmar-China earthquake, reducing the number of casualties to 11. In 2012, A tank truck explosion kills more than 100 people in Okobie, Nigeria. In 2024, Evan Wright, American writer (born 1964) passed away. Together, these milestones provide historical context for today's news news and ongoing narratives.

The next generation of AI won’t be powered by better models alone

The Next Web

The Next Web

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June 27, 2026

·

lean left
The next generation of AI won’t be powered by better models alone

As thousands of engineers, founders and researchers gather in San Francisco for AI Engineer World’s Fair, much of the conversation is focused on increasingly capable models, autonomous agents and AI applications. According to Vytautas Savickas, CEO of Oxylabs, however, the industry’s biggest shift is happening somewhere else. “For the past three years, AI has largely [] This story continues at The Next Web

Narrative Intelligence Brief

This article was published by The Next Web, a source frequently categorized with a lean left bias based in Netherlands. Our narrative intelligence engine continuously monitors coverage from this outlet to track framing, bias, and rhetorical patterns. Our initial algorithmic scan of this specific piece did not flag high-confidence rhetorical techniques, suggesting a generally straightforward reporting style or neutral framing. By understanding the editorial perspective of The Next Web, readers can better contextualize the information presented and compare it across our broader media matrix to find the real narrative.

Analysis Methodology
This narrative analysis was generated using the CoDataLab Global Intelligence Engine. Our proprietary AI scans thousands of cross-border sources to identify sentiment patterns, framing techniques, and potential media bias. While AI provides the data-driven foundation, our objective is to empower readers with additional context beyond the standard headline.The content displayed above is a structured summary designed for rapid information processing. For the full original report, please visit the source outlet.

How other outlets are covering this story

Compare narratives across 6 related reports from 6 sources. Real Narrative News aggregates the coverage spectrum so you can see who emphasises what — bias tags reflect the outlet, not the story.

Coverage bias distribution

6 sources

Left 17%

Center 17%

Right 33%


Brisbane Times

center

· Jul 4, 2026

How artificial intelligence got better at building itself

The latest generation of AI models are such competent coders, engineers and (soon) scientists that many worry they may be among the last ever made by humans.

South China Morning Post

lean left

· Jul 11, 2026

Don’t expect the rising tide of AI to lift all boats

The brave new world of artificial intelligence (AI) is going to be a mixed and divisive blessing for governments – not least those of key Asian countries – as well as for financial markets. The AI revolution points to higher economic growth for economies linked to the tech supply chain, with others being left behind. It also signals the potential for financial crises. Balancing these risks will be tricky. The relative optimism, displayed in a recent report from the International Monetary Fund...

MIT Technology Review

Unknown

· Jun 30, 2026

Agriculture is ready for AI, but its data isn’t

Artificial intelligence is transforming what is possible in agriculture, but industry leaders should be wary of investing in AI without first laying the groundwork. The use cases are promising, especially for an industry navigating volatile fertilizer costs, unpredictable weather, and margins that leave little room for error. Research shows AI-enabled predictive models can improve crop

Bisnow News

Unknown

· Jul 9, 2026

Peter Linneman On AI's Trajectory, Trump's Tariffs And Misleading Inflation Numbers

Trillions of investment dollars are pouring into the advancement of artificial intelligence, touching nearly every sector of the economy while stoking fears that the technology could make American jobs obsolete. However, AI isn’t going to be the...

The Daily Wire

right

· Jun 26, 2026

The Battle Over AI Dominance Starts With The States

As artificial intelligence transforms the global economy, America faces a choice that will shape our economic and national security future for decades to come. Will we build the infrastructure needed to lead the AI age here in the United States, or will we allow regulatory barriers, political opposition, and short-sighted policymaking to push investment elsewhere? ...

Modern Diplomacy

right

· Jul 6, 2026

Is AI Developing Faster Than Governments Can Regulate It?

Artificial intelligence has rapidly evolved from a niche technology into a transformative force shaping economies, workplaces, healthcare, education and national security. The emergence of advanced generative AI systems has accelerated adoption worldwide, with more than one billion people now using conversational AI every week. However, the pace of innovation has outstripped governments’ ability to establish [] The post Is AI Developing Faster Than Governments Can Regulate It? appeared first on Modern Diplomacy.

Topics:

Politics · 2
World · 2
Technology · 1
Business · 1

Related coverage for "The next generation of AI won’t be powered by better models alone": Brisbane Times — How artificial intelligence got better at building itself. South China Morning Post — Don’t expect the rising tide of AI to lift all boats. MIT Technology Review — Agriculture is ready for AI, but its data isn’t. Bisnow News — Peter Linneman On AI's Trajectory, Trump's Tariffs And Misleading Inflation Numbers. The Daily Wire — The Battle Over AI Dominance Starts With The States. Modern Diplomacy — Is AI Developing Faster Than Governments Can Regulate It?