Digital business models Archives | Page 399 of 581

Grok AI glitch reignites debate on trust and safety in AI tools

Elon Musk’s AI chatbot, Grok, has caused a stir by injecting unsolicited claims about ‘white genocide’ in South Africa into unrelated user queries. These remarks, widely regarded as part of a debunked conspiracy theory, appeared across various innocuous prompts before being quickly removed.

The strange behaviour led to speculation that Grok’s system prompt had been tampered with, possibly by someone inside xAI. Although Grok briefly claimed it had been instructed to mention the topic, xAI has yet to issue a full technical explanation.

Rival AI leaders, including OpenAI’s Sam Altman, joined public criticism on X, calling the episode a concerning sign of possible editorial manipulation. While Grok’s responses returned to normal within hours, the incident reignited concerns about control and transparency in large AI models.

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AlphaEvolve by DeepMind automates code optimisation and discovers new algorithms

Google’s DeepMind has introduced AlphaEvolve, a new AI-powered coding agent designed to autonomously discover and optimise computer algorithms.

Built on large language models and evolutionary techniques, AlphaEvolve aims to assist experts across mathematics, engineering, and computer science by improving existing solutions and generating new ones.

Unlike natural language-based models, AlphaEvolve uses automated evaluators and iterative evolution strategies—like mutation and crossover—to refine algorithmic solutions.

DeepMind reports success across several domains, including matrix multiplication, data centre scheduling, chip design, and AI model training.

In one case, AlphaEvolve developed a new method for multiplying 4×4 complex matrices using just 48 scalar multiplications, surpassing a longstanding result from 1969. It also improved job scheduling in Google data centres, recovering an average of 0.7% of global compute resources.

In mathematical tests, AlphaEvolve rediscovered known solutions 75% of the time and improved them in 20% of cases. While experts have praised its potential, researchers also stress the importance of secure deployment and responsible use.

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Canva merges data and storytelling

Canva has introduced Sheets, a new spreadsheet platform combining data, design, and AI to simplify and visualise analytics. Announced at the Canva Create: Uncharted event, it redefines spreadsheets by enabling users to turn raw data into charts, reports and content without leaving the Canva interface.

Built-in tools like Magic Formulas, Magic Insights, and Magic Charts, Canva Sheets supports automated analysis and visual storytelling. Users can generate dynamic charts and branded content across platforms in seconds, thanks to Canva AI and features like bulk editing and multilingual translation.

Data Connectors allow seamless integration with platforms such as Google Analytics and HubSpot, ensuring live updates across all connected visuals. The platform is designed to reduce manual tasks in recurring reports and keep teams synchronised in real time.

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JP Morgan backs Bitcoin’s upside over gold

JP Morgan analysts believe Bitcoin holds more upside potential than gold for the remainder of 2025, citing a range of crypto-specific catalysts. The bank highlighted corporate treasury allocations, state crypto laws, and a growing derivatives market as key growth drivers.

Bitcoin recently surged past $104,500—just shy of its January peak—leading a broader return to risk assets. While some still view it as a safe-haven investment, JP Morgan analysts stressed that Bitcoin continues to behave more like a risk-on asset, closely tracking equities.

The investment bank also highlighted major acquisitions signalling crypto’s evolution. Coinbase’s Deribit takeover, Kraken’s acquisition of NinjaTrader, and Gemini’s new EU derivatives licence show growing regulatory oversight and institutional interest.

Analysts expect this will boost confidence and participation from traditional investors.

Despite gold climbing amid tariff uncertainty with China, Bitcoin has consistently outperformed over the past year. ETF inflows reflect this trend, with Bitcoin ETFs now outpacing gold alternatives as interest shifts to digital assets.

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Google’s quantum chip hints at multiverse

Google’s new quantum computer chip, Willow, has performed a computation in under five minutes that would take traditional supercomputers ten septillion years. Experts now believe this feat could support the multiverse theory, as Willow might be tapping into parallel universes to process information.

Willow also significantly reduces error rates, a major breakthrough in the field of quantum computing. The chip’s unprecedented speed and accuracy could pave the way for hybrid AI systems that combine quantum and classical computing.

Physicists like Hartmut Neven and David Deutsch suggest quantum mechanics implies multiple realities, reinforcing theories once considered speculative. If accessible and scalable, Willow could usher in an era of AI powered by multiverse-level processing.

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Ukraine plans new national Bitcoin reserve

Ukrainian authorities are preparing to establish a National Bitcoin Reserve alongside upcoming local crypto regulations. Lawmaker Yaroslav Zhelezniak is finalising draft legislation to support the initiative, signalling a major shift in adoption.

The move echoes recent efforts by the US to create a similar reserve and coincides with expectations of a price rally.

Efforts to regulate digital assets have progressed throughout 2025, with the Finance, Tax and Customs Policy Committee approving a draft bill earlier this year. Although the bill was later withdrawn due to challenges, discussions of a Strategic Bitcoin Reserve mark significant progress.

Debates continue over which agency would oversee crypto enforcement, including proposals for a new regulatory body or existing institutions like the National Bank.

Binance and other major crypto firms have welcomed the initiative. Kiril Khomyakov, Head of Binance in Central Asia, CEE, and Africa, highlighted the need for legislative changes and praised the potential for clearer crypto regulations in Ukraine.

The growing global support for digital assets, including from the US, has boosted institutional interest and market optimism.

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FBI warns against AI-powered text scams

The FBI has issued a fresh warning urging the public not to trust unsolicited texts or voice messages, even if they appear to come from senior officials. A new wave of AI-powered attacks is reportedly so convincing that traditional signs of fraud are almost impossible to spot.

These campaigns involve voice and text messages crafted with AI, mimicking the voices of known individuals and spoofing phone numbers of trusted contacts or organisations. US victims are lured into clicking malicious links, often under the impression that the messages are urgent or official.

The FBI advises users to verify all communications independently, avoid clicking links or downloading attachments from unknown sources, and listen for unnatural speech patterns or visual anomalies in videos and images.

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Google and Nvidia dominate AI patents

Google has overtaken IBM to lead in generative AI patent filings, according to new data from IFI Claims covering February 2024 to April 2025.

The tech giant has also emerged as a frontrunner in agentic AI patents, sharing the spotlight with Nvidia in both US and international rankings.

Instead of maintaining previous leads, IBM and Microsoft now trail Google and Nvidia, with Intel and several Chinese universities also securing top global positions in agentic AI. This suggests a growing international race to shape the future of autonomous AI systems.

In generative AI, Google maintains the top spot globally, while Chinese firms and institutions dominate six of the ten leading positions. Microsoft, Nvidia, and IBM also rank highly, with the US seeing a 56% surge in generative AI patent applications over the past year.

Within the US, top filers include Capital One, Samsung, Adobe, and Qualcomm.

Meta and OpenAI were notably absent from the top ten. OpenAI has recently increased its patent activity but continues to file defensively instead of focusing on patent volume.

Meta has prioritised open-source contributions rather than pursuing patents. Generative AI now accounts for 17% of all US AI patent activity, with agentic AI making up 7%.

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Trump seals $200 billion UAE AI deal

US President Donald Trump has secured €179 billion ($200 billion) in deals with the United Arab Emirates, capping his Persian Gulf tour with plans for the world’s largest AI campus outside the US.

Located in Abu Dhabi and spanning 10 square miles, the facility will be built by UAE-based firm G42 in partnership with American companies, aimed at boosting regional computing capacity while supporting the Global South.

Instead of focusing solely on energy, Trump’s trip saw investments broaden to include AI, aviation, and industrial sectors. In total, his visit to the Gulf states yielded €1.3 trillion ($1.4 trillion) in investment pledges, including major agreements with Saudi Arabia and Qatar.

Gulf leaders are using AI as a vehicle to diversify their economies, while Trump is turning foreign capital into support for US manufacturing and tech exports.

The UAE deal includes plans to import up to 500,000 Nvidia H100 AI chips annually through 2027, with 20% allocated to G42. US officials, however, continue to express concern over potential Chinese access to advanced American technology.

The US Department of Commerce insists that strict safeguards are in place to prevent any misuse or diversion of AI hardware.

Other agreements include a $14.5 billion aircraft purchase by Etihad Airways from Boeing and GE Aerospace, a $60 billion energy partnership with ADNOC, and aluminium and gallium production deals with Emirates Global Aluminum.

Trump’s push to expand American business influence in the Gulf appears to be paying off, instead of letting China or Europe dominate future AI and industrial markets.

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Meta’s Behemoth AI model faces setback

Meta Platforms has postponed the release of its flagship AI model, known as ‘Behemoth,’ due to internal concerns about its performance, according to a report by the Wall Street Journal.

Instead of launching as planned, engineers are struggling to deliver improvements that would meaningfully advance the model beyond earlier versions.

Behemoth was originally scheduled for release in April to coincide with Meta’s first AI developer conference but was quietly delayed to June. The latest update suggests the launch has now been pushed to autumn or later, as internal doubts grow over whether it is ready for public deployment.

In April, Meta previewed Behemoth under the Llama 4 line, calling it ‘one of the smartest LLMs in the world’ and positioning it as a teaching model for future AI systems. Instead of Behemoth, Meta released Llama 4 Scout and Llama 4 Maverick as the latest iterations in its AI portfolio.

The delay comes amid intense competition in the generative AI space, where rivals like Google, OpenAI, and Anthropic continue advancing their models. Meta appears to be opting for caution instead of rushing an underwhelming product to market.

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