Today in News History
On July 12, several notable moments in the history of News stand out. In 1807, Thomas Hawksley, English engineer and academic (died 1893) was born. 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 1961, Indian city Pune floods due to failure of the Khadakwasla and Panshet dams, killing at least two thousand people. 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 2012, Syrian Civil War: Government forces target the homes of rebels and activists in Tremseh and kill anywhere between 68 and 150 people. In 2014, Emil Bobu, Romanian politician (born 1927) passed away. In 2015, Cheng Siwei, Chinese engineer, economist, and politician (born 1935) passed away. In 2024, Bill Viola, American video and installation artist (born 1951) passed away. Together, these milestones provide historical context for today's news news and ongoing narratives.
Why most AI projects fail: It’s infrastructure and people
AI trash-talkers love to rip on the technology for failing to produce meaningful business results, often pointing to studies like The post Why most AI projects fail: It’s infrastructure and people appeared first on The New Stack.
Narrative Intelligence Brief
This article was published by The New Stack, a source frequently categorized with a Unknown bias based in United States of America. 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 New Stack, readers can better contextualize the information presented and compare it across our broader media matrix to find the real narrative.
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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.More Coverage
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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 33%
Center 33%
Right 17%
Entrepreneur.com
· Jul 4, 2026
How I Went From Side Hustle to 7 Figures in 12 Months Using 4 AI Tools (No Employees, No Investors)
Most solopreneurs aren't failing because they need more AI tools —they're failing because they're using AI to patch outdated systems instead of rebuilding their business around an AI-first workflow that scales.
Business Today
· Jul 6, 2026
Career Shock: Who Wins When AI Takes Over the Office
Discover which careers will thrive and survive AI disruption: creative pros, healthcare workers, technologists, leaders, skilled artisans, educators, and human connectors remain indispensable.
The Register
· Jul 10, 2026
AI-driven datacenter builds drive Microsoft's emissions up a quarter in one year
Firm faces quandary of wanting to help the environment, but also wanting to force AI on everyone
Le Monde Diplomatique
· Jul 6, 2026
Tout le monde déteste l'IA
Les investisseurs n'ont d'yeux que pour elle ; ses architectes toisent les chefs d'État ; son usage se propage comme le feu dans la plaine : l'intelligence artificielle, dit-on, va transformer l'humanité. Mais l'humanité le veut-elle ? Face au Moloch numérique, qui exige le sacrifice de () / Mouvement de contestation, États-Unis, Technologies de l'information, Travail, Capitalisme
The Motley Fool
· Jun 28, 2026
Why Everyone's Talking About Poet Technologies Stock Right Now
AI investing isn't just about the companies building the brains -- it's also about the businesses building the infrastructure that enables those brains to work together.
BERNAMA
· Jul 11, 2026
General : Use AI As Capacity Multiplier, Not Cost Cutting Tool  - Sim
PETALING JAYA, July 11 (Bernama) -- Businesses should harness artificial intelligence (AI) as a capacity multiplier while continuing to invest in human talent, instead of treating the technology solely as a cost-cutting tool, Entrepreneur and Cooperatives Development Minister Steven Sim said.
Topics:
Related coverage for "Why most AI projects fail: It’s infrastructure and people ": Entrepreneur.com — How I Went From Side Hustle to 7 Figures in 12 Months Using 4 AI Tools (No Employees, No Investors). Business Today — Career Shock: Who Wins When AI Takes Over the Office. The Register — AI-driven datacenter builds drive Microsoft's emissions up a quarter in one year. Le Monde Diplomatique — Tout le monde déteste l'IA. The Motley Fool — Why Everyone's Talking About Poet Technologies Stock Right Now. BERNAMA — General : Use AI As Capacity Multiplier, Not Cost Cutting Tool  - Sim