Author name: Dashveenjit Kaur

Agentic AI, ai, AI Hardware & Chips, AI in Action, Artificial Intelligence, enterprise, Infrastructure & Hardware, T-Head

Alibaba is designing AI chips around agents, and that changes what the race is actually about

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Alibaba has unveiled a new AI processor built specifically for AI agents, pairing the chip announcement with a multi-year silicon roadmap and a new large language model, signalling that the company is building an integrated AI stack, not just filling a gap left by US export controls. The Zhenwu M890, developed by Alibaba’s semiconductor subsidiary […]

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AI chips, Artificial Intelligence, China, chip geopolitics, DeepSeek, Governance, Regulation & Policy, Government & Public Sector AI, Huawei, Jensen Huang, nvidia, Trump Xi summit

The Nvidia H200 China deal survived the Trump-Xi summit–just not in the way anyone expected

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President Trump flew to Beijing, brought Jensen Huang along at the last minute, and left two days later, telling reporters that “something could happen” on chip exports. Nothing did. Not a single Nvidia H200 has shipped to China since Trump first authorised the sales in December 2025, and US Trade Representative Jamieson Greer told Bloomberg that semiconductor controls were […]

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Agentic AI, AI Agents, AI Business Strategy, AI in Action, AI Infrastructure, AI Market Trends, ai-governance, ai-security, Artificial Intelligence, enterprise-ai, Featured News, gemini, Google Cloud, Google Cloud Next, Governance, Regulation & Policy, Inside AI

Google made agentic AI governance a product. Enterprises still have to catch up.

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Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it made agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex AI […]

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AI and Us, AI Business Strategy, AI capex, AI in Action, AI infrastructure spending, Artificial Intelligence, aws, Big Tech earnings, cloud-computing, enterprise-ai, Google Cloud, Inside AI, meta, microsoft-azure, Q1 2026 earnings

Big Tech just proved AI infrastructure spending works. Then it raised the bill anyway

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Every cloud beat. Every capex forecast rose. That is the two-sentence summary of the biggest earnings day of 2026, and it tells you almost everything you need to know about where Big Tech’s AI infrastructure spending actually stands right now. Microsoft, Alphabet, Meta, and Amazon collectively committed somewhere between US$630 billion and US$650 billion in […]

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agentic workflows, ChatGPT, openai, World of Work

GPT-5.5 is OpenAI’s most capable agentic AI model yet–at twice the API price

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OpenAI launched GPT-5.5 on April 23 as what it calls “a new class of intelligence for real work and powering agents,” and the framing is deliberate. OpenAI says it’s the most capable agentic AI model to date, built from the ground up to plan, use tools, check its own output, and work through tasks independently. […]

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AI chips, AI Hardware & Chips, Artificial Intelligence, china-tech, Hong Kong IPO, How It Works, Infrastructure & Hardware, Inside AI, Lightelligence, optical interconnect, optoelectronic computing, photonics

Lightelligence’s 400% debut is a bet that AI’s next bottleneck is the optical interconnect

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When a company with US$15.5 million in annual revenue debuts on a stock exchange and its market capitalisation briefly hits US$10 billion, the obvious question is: what do investors know that the financials don’t show yet? In Lightelligence’s case, the answer is optical interconnect and the growing conviction that conventional copper wiring between AI chips […]

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ai, Anthropic, Artificial Intelligence, claude-mythos, Cybersecurity AI, Ethics, Founders & Visionaries, Governance, Regulation & Policy, government, Government & Public Sector AI, society

Anthropic walks into the White House and Mythos is the reason Washington let it in

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When we covered Project Glasswing earlier this month, the story was about a model too dangerous to release publicly and what Anthropic decided to do with it instead. That story has moved. On Friday, Anthropic CEO Dario Amodei walked into the West Wing for a meeting with White House Chief of Staff Susie Wiles. Treasury […]

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AI benchmarks, AI Incidents, AI Index 2026, AI regulation, AI research, ai-governance, ai-safety, Artificial Intelligence, Deep Dives, Features, Inside AI, Public Opinion, Responsible AI, Stanford HAI, Trust, Bias & Fairness, US China AI

The US-China AI gap closed. The responsible AI gap didn’t

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The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where […]

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AI benchmarks, AI model launch, AI race, Alexandr Wang, Artificial Intelligence, Claude Opus, frontier ai, gemini, generative-ai, GPT-5.4, HealthBench, llama, Mark Zuckerberg, Meta AI, Meta AI model, Meta Superintelligence Labs, multimodal-ai, muse spark, Open-Source & Democratised AI, open-source-ai

Meta has a competitive AI model but loses its open-source identity

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The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models have been available to developers for years. But when Meta threw its weight behind Llama, something shifted. A company with three billion users, vast compute resources, and the credibility of a tech giant was now building openly, […]

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Agentic AI, AI and Us, AI Business Strategy, AI cybersecurity, AI in Action, ai-security, Amazon Web Services, Anthropic, Artificial Intelligence, claude-mythos, CrowdStrike, cybersecurity, Cybersecurity AI, google, Human-AI Relationships, Inside AI, microsoft, nvidia, open source security, Palo Alto Networks, Project Glasswing, vulnerability, zero-day

Anthropic locked down its most powerful AI Model over cybersecurity fears–then put it to work

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Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is called Project Glasswing. […]

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