Amazon Google report $120 billion as NVIDIA launches TensorRT

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The landscape of artificial intelligence continues to evolve rapidly, presenting both significant opportunities and challenges across various sectors. A recent International AI Safety Report 2026 indicates that while AI systems can assist with parts of cyberattacks, such as finding targets and creating malicious code, they cannot yet execute complete, multi-step attacks without human intervention. Despite this, AI-enabled attacks are increasingly common, with generative AI contributing to a 135% rise in attacks in 2023. The World Economic Forum's 2026 outlook reveals that 90% of cyber leaders anticipate catastrophic AI attacks in the near future, emphasizing the urgent need for robust AI-powered defenses.

In the creative realm, the impact of AI is sparking debate. The phrase "Did AI write that" has emerged as a common online insult, leaving individuals feeling dehumanized and questioning their originality, as AI writing often lacks human nuance. Comedians in Northeast Ohio, for instance, hold differing views on using AI for joke writing; some, like Stephanie Ginese, believe AI cannot grasp human experiences, while others, such as Alex Boffoli, use tools like Grammarly for refinement. Dr. Jennifer Lee, a humor expert, raises concerns that AI models may "steal" copyrighted material, producing derivative jokes that quickly lose their novelty.

Big Tech companies are making substantial investments in AI infrastructure, leading to significant capital expenditures. Amazon, Alphabet, Microsoft, and Meta collectively reported about $120 billion in capital expenditure in the fourth quarter alone, contributing to a mixed performance for Big Tech stocks after a $1 trillion market value loss. Nvidia CEO Jensen Huang highlighted the "sky high" demand for computing power as the driver for this spending. In the UK, data center provider Pulsant invested £10 million to upgrade its Milton Keynes facility, aiming to meet the "unprecedented demand" for high-density computing power for AI and machine learning tasks.

New AI tools and applications are also emerging. NVIDIA introduced TensorRT LLM AutoDeploy, a tool designed to automate and accelerate the optimization and deployment of large language models, supporting popular models like Llama, Mistral, and Gemma. In legal applications, AI can be accurate but still incomplete, posing risks in exhaustive searches like patent cases where missing a single document could be costly; Melange, for example, partnered with AWS to ensure infrastructure reliability for scaling AI search. Furthermore, AI experts are assisting police in analyzing a ransom note related to Nancy Guthrie, using the technology to uncover more information. Meanwhile, Alibaba's AI chatbot, Qwen, experienced an overload during a promotional campaign due to overwhelming customer demand for coupons, temporarily halting its distribution.

The discussion around AI's impact on employment continues, with many laid-off workers questioning if AI played a role. AI can lead to job loss by directly replacing roles, increasing efficiency to reduce headcount, or by forcing companies to cut jobs in other areas to fund expensive AI investments. Despite a national report by Challenger, Gray & Christmas attributing nearly 55,000 US job cuts to AI last year, companies in New York state have avoided officially blaming AI in their mass layoff notices, instead citing reasons like "economic factors" or "reducing layers."

Key Takeaways

The International AI Safety Report 2026 indicates AI cannot yet conduct full cyberattacks independently, though AI-enabled attacks are common and rising.
AI-powered cyberattacks increased by 135% in 2023, with 90% of cyber leaders expecting catastrophic attacks soon.
The phrase "Did AI write that" is a growing online insult, questioning human originality and intelligence in written content.
Comedians hold mixed views on AI for joke writing, with some using it for marketing or refinement, while others believe it lacks human understanding and may produce derivative content.
Big Tech companies, including Amazon, Alphabet, Microsoft, and Meta, reported approximately $120 billion in combined capital expenditure in Q4, contributing to a $1 trillion market value loss.
Nvidia CEO Jensen Huang attributes the high spending on AI infrastructure to "sky high" demand for computing power.
NVIDIA launched TensorRT LLM AutoDeploy to automate and accelerate the optimization and deployment of large language models like Llama, Mistral, and Gemma.
Legal AI can be accurate but incomplete, posing risks in exhaustive searches; Melange partnered with AWS to ensure infrastructure reliability for scaling AI search.
Alibaba's Qwen AI chatbot experienced an overload due to high customer demand for coupons during a promotional campaign.
Companies are reluctant to officially attribute layoffs to AI, despite national reports indicating AI's role in job reductions.

AI struggles with full cyberattacks report says

The International AI Safety Report 2026 states that AI cannot yet carry out complete cyberattacks without human help. AI systems can assist with parts like finding targets and creating malicious code. However, they fail at long, multi-step attacks, often making mistakes or getting lost. Chris Anley from NCC Group warns that AI-enabled attacks are now common, urging companies to invest in better defenses. The DARPA AI Cyber Challenge in August 2025 showed AI found 54 vulnerabilities and patched 43 in controlled tests. The report also highlights a shift towards "Frontier AI Safety Frameworks" to manage risks.

Building strong defenses against AI cyber threats

Artificial intelligence has greatly changed the world of cyber threats, making old defenses insufficient. To be resilient, organizations must first secure their AI systems and then use AI to improve their defense capabilities. AI-powered attacks are growing, with generative AI creating convincing phishing emails in seconds, leading to a 135% rise in attacks in 2023. The World Economic Forum's 2026 outlook shows 90% of cyber leaders expect catastrophic AI attacks soon. However, AI also provides powerful tools for defenders to move from reacting to predicting and preventing attacks.

"Did AI write that" becomes a common online insult

A new online insult, "Did AI write that," is making people feel attacked and dehumanized. Olivia Dreizen Howell was upset when accused of using AI for an Instagram post, even though she wrote it herself. Experts like psychologist Stephanie Steele-Wren say this insult means someone does not sound human enough and questions their intelligence or originality. AI writing often uses specific phrases, avoids contractions, and can sound long-winded or "soulless." Because there is no reliable way to detect AI writing, some people are now adding intentional errors or unique details to their writing to prove a human wrote it.

Comedians debate AI use in joke writing

Comedians in Northeast Ohio have different views on using AI for their acts. Stephanie Ginese believes AI cannot understand human experiences and should not write jokes, though she uses it for marketing. Cleveland comedian Alex Boffoli uses AI tools like Grammarly to refine his writing, seeing it as a way to clean up errors and get started. Howard Parr, from the Akron Civic Theatre, does not mind how comedians create material, as long as it is not hateful. However, Dr. Jennifer Lee, an American humor expert, argues that AI models "steal" copyrighted material and their jokes are derivative and quickly lose their novelty.

Pulsant invests £10 million in Milton Keynes AI data center

Pulsant, a data center provider, invested £10 million to upgrade its facility in Milton Keynes. This new "data hall" will help power artificial intelligence and machine learning tasks. The company says it offers businesses an alternative to the crowded and expensive data centers in London. Located in the Oxford-Cambridge technology corridor, the enhanced center provides fast connections to major hubs. CEO Rob Coupland noted an "unprecedented demand" for UK digital infrastructure, and this investment aims to meet the need for high-density computing power.

Big Tech stocks recover after $1 trillion loss

Big Tech stocks saw a mixed performance after losing over $1 trillion in market value last week. Oracle led the gains among tech companies. Investors worried about the huge capital spending plans for 2026, driven by the AI boom. Amazon, Alphabet, Microsoft, and Meta reported a combined capital expenditure of about $120 billion in the fourth quarter alone. Despite this, Nvidia CEO Jensen Huang stated that the high spending on AI infrastructure is necessary due to "sky high" demand for computing power. Analysts expect continued increases in spending for large cloud providers.

NVIDIA launches AutoDeploy for faster AI model deployment

NVIDIA introduced TensorRT LLM AutoDeploy to automate how large language models are optimized for use. This tool takes existing PyTorch models and turns them into highly efficient graphs for faster AI inference. AutoDeploy helps reduce the time it takes to deploy these models by handling complex optimizations like caching and sharding automatically. It is especially useful for new research models and open-source models, allowing for quick deployment with good performance. AutoDeploy supports popular models like Llama, Mistral, and Gemma, making AI development more efficient.

AI experts help police analyze Nancy Guthrie ransom note

Artificial intelligence experts are working with police to find clues in the ransom note related to Nancy Guthrie. The note was considered credible because it included specific details about damaged property and the placement of an accessory inside the home. These details were reportedly shared with investigators by Guthrie's family. AI technology is being used to help uncover more information from the note to aid the investigation.

Legal AI can be accurate but still incomplete

Legal AI can be accurate but still "not right" due to incompleteness, a problem harder to detect than hallucinations. This issue is especially dangerous when AI needs to search millions of documents to prove a negative, like finding all relevant prior art in patent cases. Missing even one key document could cost millions in litigation. Joshua Beck, CEO of Melange, found that infrastructure reliability is the main risk when scaling AI search to huge datasets. His company partnered with AWS to ensure their system could handle 450 million global patents reliably. Beck advises lawyers to focus on the AI system's infrastructure, not just its model, to ensure it can scale without issues.

Three ways AI could lead to job loss

Many laid-off workers wonder if AI caused their job loss, though companies often do not admit it. This article explains three main ways AI might lead to layoffs. First, AI could directly replace a job, though this is currently the least common scenario. Second, AI makes many jobs much easier, allowing companies to achieve more with fewer employees, which can lead to headcount reductions. Third, the high cost of AI technology might force companies to cut jobs in other areas to pay for their AI investments. Understanding these impacts can help workers plan their next career steps as AI becomes more central to businesses.

Alibaba's Qwen chatbot overwhelmed by coupon demand

Alibaba's AI chatbot, Qwen, temporarily stopped giving out coupons because too many customers tried to use it. This happened during a new campaign to show how Qwen can help with shopping, part of a 3-billion-yuan plan to attract users for China's Singles Day festival on November 11. Qwen, launched in April and trained on 700 billion parameters, can generate text, answer questions, and create images. The high demand for coupons on Alibaba's Taobao and Tmall platforms caused the overload, and Qwen is now asking shoppers to be patient.

New York companies avoid blaming AI for layoffs

In New York state, over 160 companies have filed mass layoff notices since last March, but none have officially blamed artificial intelligence. The state's Worker Adjustment and Retraining Notification, or WARN, paperwork added an "AI and automation" option 11 months ago, yet no employer has selected it. This is despite a national report by Challenger, Gray & Christmas stating nearly 55,000 US companies attributed job cuts to AI last year. Companies like Amazon, Goldman Sachs, and Morgan Stanley reported significant layoffs, but cited reasons like "economic" factors or "reducing layers." Experts suggest companies might be hesitant to admit AI is replacing workers.