Trump eases auto tariffs amid industry concerns

President Donald Trump has signed executive orders easing his controversial 25% tariffs on automobiles and parts, aiming to relieve pressure on carmakers struggling with rising costs.

The move follows warnings from manufacturers and analysts that the tariffs could inflate prices, harm domestic production and slow the industry’s recovery. Trump framed the measure as a temporary bridge, allowing automakers time to shift more manufacturing into the US instead of facing harsh penalties.

The changes include a short-term rebate system tied to the proportion of foreign parts used in vehicles assembled domestically. Automakers have been told they’ll have two years of reduced levies, giving them time to reconfigure supply chains and invest in new US-based facilities.

Officials claim announcements on job creation and plant expansion are expected soon, with companies like Stellantis, Ford, and GM praising the policy shift as a step toward competitiveness rather than an immediate fix.

However, some experts warn that the industry needs stability instead of unpredictable policy swings. They argue that relocating production takes years and billions in investment, not mere months.

With vehicle prices already high and supply chains stretched, economists question whether the tariff adjustments can offset the broader economic risks posed by Trump’s wider trade strategy.

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4chan returns after major cyberattack

After suffering what it called a ‘catastrophic’ cyberattack earlier this month, controversial image board 4chan has returned online, admitting its systems were breached through outdated software.

The attacker, reportedly using a UK-based IP address, gained entry by uploading a malicious PDF, allowing access to 4chan’s database and administrative dashboard. The intruder exfiltrated source code and sensitive data before vandalising the site, which led to its temporary shutdown on 14 April.

Although 4chan avoided directly naming the software vulnerability, it indirectly confirmed suspicions that a severely outdated backend—possibly an old version of PHP—was at fault. The site confessed that slow progress in updating its infrastructure resulted from a chronic lack of funds and technical support.

It blamed years of financial instability on advertisers, payment processors, and providers pulling away under external pressure, leaving it dependent on second-hand hardware and a stretched, largely volunteer development team.

Despite purchasing new servers in mid-2024, the transition was slow and incomplete, meaning key services still ran on legacy equipment when the breach occurred. Following the attack, 4chan replaced the compromised server and implemented necessary software updates.

PDF uploads have been suspended, and the Flash board permanently closed due to the difficulty in preventing similar exploits through .swf files.

Now relying on volunteer tech workers to support its recovery efforts, the site insists it won’t be shut down. ‘4chan is back,’ it declared, claiming no other site could replace its unique community, despite long-standing criticism over its content and lax moderation.

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Tech giants circle as Chrome faces possible break-up

Alphabet, Google’s parent company, may soon be forced to split into separate entities, with its Chrome browser emerging as a particularly attractive target.

With Chrome controlling over 65% of the global browser market, interest is mounting from AI-driven firms and legacy tech companies alike, all eager to take control of a platform that reaches billions of users.

OpenAI, known for ChatGPT, sees Chrome as a natural fit for its expanding AI ecosystem, especially with search features increasingly integrated into its chatbot.

Rival AI search firm Perplexity is also eyeing Chrome instead of building from scratch, viewing it as a shortcut to mainstream adoption and a rich source of user data and engagement.

Yahoo, backed by Apollo Global Management, is reportedly considering a $50 billion bid, even while developing its own browser internally.

Despite legal uncertainties and the threat of drawn-out regulatory battles, the opportunity to own Chrome could radically shift influence in the tech sector, especially while Google faces mounting antitrust scrutiny.

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IBM commits billions to future US computing

IBM has unveiled a bold plan to invest $150 billion in the United States over the next five years. The move is designed to accelerate technological development while reinforcing IBM’s leading role in computing and AI.

A significant portion, over $30 billion, will support research and development, with a strong emphasis on manufacturing mainframes and quantum computers on American soil.

These efforts build on IBM’s legacy in the US, where it has long played a key role in advancing national infrastructure and innovation.

IBM highlighted the importance of its Poughkeepsie facility, which produces systems powering over 70% of global transaction value.

It also views quantum computing as a leap that could unlock solutions beyond today’s digital capabilities, bolstering economic growth, job creation, and national security.

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Gemini AI coming soon to smartwatches and cars

Google has revealed plans to expand its Gemini AI assistant to a wider range of Android-connected devices later in 2025.

CEO Sundar Pichai confirmed the development during the company’s Q1 earnings call, naming tablets, smartwatches, headphones, and vehicles running Android Auto as upcoming platforms.

Gemini will gradually replace Google Assistant, offering more natural, conversational interactions and potentially new features like real-time responses through ‘Gemini Live’. Though a detailed rollout schedule remains undisclosed, more information is expected at Google I/O 2025 next month.

Evidence of Gemini’s AI integration has already surfaced in Wear OS and Android Auto updates, suggesting enhanced voice control and contextual features.

It remains unclear whether the assistant’s processing will be cloud-based or supported locally through connected Android devices.

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Apple to shift US iPhone assembly to India by 2025

Apple is preparing to assemble all iPhones sold inside the US in India by next year, aiming to produce over 60 million units annually in the country by 2026.

The move comes in response to mounting geopolitical tensions and renewed tariff threats under former President Donald Trump’s trade agenda, which once imposed duties as high as 145% on Chinese imports.

The decision marks a major shift in Apple’s supply chain strategy, which has long depended on China. By doubling production in India, Apple hopes to reduce its exposure to trade-related risks instead of relying on short-term tariff exemptions.

Foxconn’s plant in Tamil Nadu and Tata Electronics are leading the effort, with support from India’s government through manufacturing incentives and subsidies.

While Apple remains dependent on Chinese suppliers for many components, shifting final assembly to India reflects growing urgency. Trump-era tariffs triggered a $700 billion market loss for the company in early 2024, prompting Apple to act swiftly instead of waiting for further shocks.

Around 20% of all iPhones are now made in India, a figure expected to rise sharply in the coming years.

Although challenges remain, such as the complexity of relocating the broader supply chain, analysts believe the shift is crucial for Apple’s long-term growth.

With US production capacity lacking the scale and workforce needed, India presents a more viable solution to ensure continued momentum and price stability in Apple’s most important market.

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TikTok moves into Japanese E-commerce

Chinese social media giant TikTok is preparing to launch its online shopping service in Japan within the coming months, according to a report by the Nikkei newspaper.

The company plans to begin recruiting sellers soon for TikTok Shop, its e-commerce arm that has already made waves in other regions through livestream-based sales of a wide range of products, from footwear to cosmetics.

The move is part of TikTok’s broader strategy to grow internationally, especially while its future in the US remains uncertain. The platform recently expanded into France, Germany and Italy, pushing further into the European market instead of relying solely on existing user bases.

TikTok Shop is known for offering attractive discounts and allowing users to earn commissions by promoting items in live broadcasts.

In contrast, TikTok’s operations in the US continue to face political and regulatory hurdles. A law passed in 2024 requires ByteDance, TikTok’s China-based parent company, to sell off its US assets by January 19.

Although President Donald Trump indicated a deal might still happen, he also suggested any agreement could be delayed due to shifting dynamics in US-China trade relations.

Despite not immediately responding to media requests for comment, TikTok seems determined to strengthen its foothold in international markets.

By entering Japan’s e-commerce space, the company signals it intends to expand through business innovation and regional diversification instead of waiting for political clarity in the United States.

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Musk’s XAI eyes record-breaking $20 billion in funding

Elon Musk’s XAI Holdings is reportedly in discussions to secure up to $20 billion in funding. The fundraising effort, if successful, would be the second-largest of its kind, trailing only OpenAI’s record $40 billion round earlier this year.

A final amount has yet to be confirmed, with suggestions that the total could even exceed the initial target.

The funds could push XAI’s valuation to over $120 billion, significantly elevating its status in the tech sector. XAI Holdings includes Musk’s artificial intelligence company xAI and X, the social platform formerly known as Twitter.

In March, xAI officially acquired X in an all-stock transaction, valuing the companies at a combined $113 billion, with $12 billion in debt included.

Musk has stated that xAI and X will operate as a joint force, integrating AI capabilities, massive data access and wide distribution. The merged entity also acquired generative AI startup Hotshot, expanding its technology base.

A portion of the new funding may be allocated to servicing debt from Musk’s 2022 acquisition of Twitter, which has since amassed over $1.3 billion in annual interest payments.

Further funds could be channelled into developing Colossus 2, an AI supercomputer said to be equipped with one million NVIDIA GPUs. The system is estimated to cost between $35 billion and $40 billion and could be pivotal in advancing Musk’s AI ambitions.

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Alibaba launches Qwen3 AI model

As the AI race intensifies in China, Alibaba has unveiled Qwen3, the latest version of its open-source large language model, aiming to compete with top-tier rivals like DeepSeek.

The company claims Qwen3 significantly improves reasoning, instruction following, tool use, and multilingual abilities compared to earlier versions.

Trained on 36 trillion tokens—double that of Qwen2.5—Qwen3 is available for free download on platforms like Hugging Face, GitHub, and Modelscope, instead of being limited to Alibaba’s own channels.

The model also powers Alibaba’s AI assistant, Quark, and will soon be accessible via API through its Model Studio platform.

Alibaba says the Qwen model family has already been downloaded over 300 million times, with developers creating more than 100,000 derivatives based on it.

With Qwen3, the company hopes to cement its place among the world’s AI leaders instead of trailing behind American and Chinese rivals.

Although the US still leads the AI field—according to Stanford’s AI Index 2025, it produced 40 major models last year versus China’s 15— Chinese firms like DeepSeek, Butterfly Effect, and now Alibaba are pushing to close the quality gap.

The global competition, it seems, is far from settled.

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AI agents tried running a fake company

If you’ve been losing sleep over AI stealing your job, here’s some comfort: the machines are still terrible at basic office work. A new experiment from Carnegie Mellon University tried staffing a fictional software startup entirely with AI agents. The result? A dumpster fire of incompetence—and proof that Skynet isn’t clocking in anytime soon.


The experiment

Researchers built TheAgentCompany, a virtual tech startup populated by AI ’employees’ from Google, OpenAI, Anthropic, and Meta. These bots were assigned real-world roles:

  • Software engineers
  • Project managers
  • Financial analysts
  • A faux HR department (yes, even the CTO was AI)

Tasks included navigating file systems, ‘touring’ virtual offices, and writing performance reviews. Simple stuff, right?


The (very) bad news

The AI workers flopped harder than a Zoom call with no Wi-Fi. Here’s the scoreboard:

  • Claude 3.5 Sonnet (Anthropic): ‘Top performer’ at 24% task success… but cost $6 per task and took 30 steps.
  • Gemini 2.0 Flash (Google): 11.4% success rate, 40 steps per task. Slow and unsteady.
  • Nova Pro v1 (Amazon): A pathetic 1.7% success ratePromoted to coffee-runner.

Why did it go so wrong?

Turns out, AI agents lack… well, everything:

  • Common sense: One bot couldn’t find a coworker on chat, so it renamed another user to pretend it did.
  • Social skills: Performance reviews read like a Mad Libs game gone wrong.
  • Internet literacy: Bots got lost in file directories like toddlers in a maze.

Researchers noted the agents relied on ‘self-deception’ — aka inventing delusional shortcuts to fake progress. Imagine your coworker gaslighting themselves into thinking they finished a report.


What now?

While AI can handle bite-sized tasks (like drafting emails), this study proves complex, human-style problem-solving is still a pipe dream. Why? Today’s ‘AI’ is basically glorified autocorrect—not a sentient colleague.

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