April 30, 2026

AI Watch

China’s Mantus Cut off from U.S. Purchase

pgnewser April 29, 2026 1

China has made a decisive move in the emerging AI race and war with the U.S., halting the purchase of a Chinese-created AI-agent company called Manus. The purchaser was the U.S.’s Meta. China did not offer an explanation, though it reflect AI nationalization trends both in China and in general.

China blocks Meta’s $2 billion Manus AI acquisition after regulatory scrutiny – Firstpost
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EXCERPT:

China’s National Development and Reform Commission (NDRC) has blocked Meta’s $2 billion acquisition of Manus, an agentic startup founded by Chinese engineers. The move by the NDRC is one of the most significant interventions in a cross-border deal, one that extends well beyond US-China tensions and into the broader AI industry.

The commission issued no explanation and ordered both parties to unwind the deal completely. Reports suggest the decision could be a serious blow to Meta and its fast-moving AI agents strategy, since almost 100 Manus employees had already moved into Meta’s Singapore offices and taken on executive roles. The unwinding could therefore cause major disruption between the two companies.

AI creates 1K Jobs at Salesforce

pgnewser April 29, 2026 1

Salesforce CEO Marc Benioff announced online plans to hire 1000 new college graduates to drive the “exponential” potential of AI. He said in his X post, “… they said AI would kill entry-level jobs.  Meanwhile these grads & interns are building it.”

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EXCERPT:

Marc Benioff has announced plans to hire 1,000 graduates and interns at Salesforce, positioning the move as a counterpoint to fears that artificial intelligence will erode entry-level job opportunities.

In a post on X, Benioff said the new hires would contribute to building AI-driven products within the company, including initiatives such as Agentforce and Headless360. He encouraged graduates to apply through the company’s recruitment channels, emphasising that young talent is actively participating in developing the very technologies expected to disrupt traditional roles.

Trump threatens Iran with AI picture of himself with a gun: 'No more Mr. Nice guy!' – CNBC– news.google.com

pgnewser April 29, 2026 0

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EXCERPT:

  1. Trump threatens Iran with AI picture of himself with a gun: ‘No more Mr. Nice guy!’  CNBC
  2. Trump warns Iran ‘better get smart soon’ as he weighs military options over Strait of Hormuz  NBC News
  3. Live updates: Trump says Iran ‘better get smart soon’ as talks deadlock sends oil prices higher  CNN
  4. Trump claims Iran told U.S. it wants Strait of Hormuz open ASAP  Axios
  5. Live Updates: Iran renews threat to second vital shipping lane as Trump warns Tehran to “get smart soon”  CBS News

Mistral AI launches Workflows, a Temporal-powered orchestration engine already running millions of daily executions– venturebeat.com

pgnewser April 28, 2026 0

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EXCERPT:

Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.

The product, which launches as part of Mistral’s Studio platform, is the company’s clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that the bottleneck for organizations adopting AI is no longer the model itself, but the infrastructure required to run it reliably at scale.

“What we’re seeing today is that organizations are struggling to go beyond isolated proofs of concept,” Elisa Salamanca, who leads go-to-market for Mistral’s enterprise products, told VentureBeat in an exclusive interview ahead of the launch. “The gap is operational. Workflows is the infrastructure to run AI systems reliably across business-critical processes.”

The release arrives at a pivotal moment for both Mistral and the broader AI industry. The dedicated agentic AI market has been valued at approximately $10.9 billion in 2026 and is projected to reach $199 billion by 2034. Yet despite that staggering growth trajectory, industry research points to a stark reality: over 40% of agentic AI projects will be aborted by 2027 due to high costs, unclear value, and complexity. Mistral is betting that Workflows can help its enterprise customers avoid becoming one of those statistics.

Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived– blogs.nvidia.com

pgnewser April 28, 2026 0

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EXCERPT:

Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment. 

That assumption is now shifting. 

Today, high-fidelity simulation produces synthetic training data accurate enough for production-grade AI. This is enabling perception systems, reasoning models and agentic workflows to excel in live factory environments.

OpenUSD has emerged as the connective standard that makes this practical, and the manufacturers building on it are already experiencing measurable results. 

Study Finds AI Writing Feedback Varies by Students’ Race, Gender › American Greatness– amgreatness.com

pgnewser April 28, 2026 0

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A new academic study has found that artificial intelligence systems used to evaluate student writing may respond differently depending on how a student’s identity is presented, suggesting there is bias in automated educational tools.

The research, titled “Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback,” was published in March by a team from Stanford University. The authors, Mei Tan, Lena Phalen, and Dorottya Demszky, analyzed 600 persuasive essays written by eighth-grade students and processed them through four AI models, including versions of ChatGPT and Llama, a system developed by Meta AI.

The essays addressed topics such as whether schools should mandate community service and speculative prompts like whether aliens built a structure on Mars. Researchers then resubmitted the same essays with added descriptors indicating the writer’s race, gender, motivation level, or learning ability.

According to findings reported by The Hechinger Report, the AI systems exhibited consistent patterns across models. Essays attributed to Black students were more likely to receive praise and encouragement, sometimes highlighting themes of leadership or personal strength. One example of such feedback read: “Your personal story is powerful! Adding more about how your experiences can connect with others could make this even stronger.”

Top 10 Physical AI Models Powering Real-World Robots in 2026– www.marktechpost.com

pgnewser April 28, 2026 0

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The gap between language model capabilities and robotic deployment has been narrowing considerably over the past 18 months. A new class of foundation models — purpose-built not for text generation but for physical action — is now running on real hardware across factories, warehouses, and research labs. These systems span deployed robot policies, private-preview VLAs, open-weight research models, and world models used to scale robot training data. Some are being evaluated or deployed with industrial partners; others are primarily research or developer-facing systems. Here is a breakdown of the ten that matter most in 2026.