Google

Google releases NotebookLM app early

Google has launched its AI-powered research assistant, NotebookLM, on Android and iOS a day earlier than expected and just ahead of its annual I/O developer conference.

Until now, the service was only available on desktop, but users can now access its full features while on the move.

NotebookLM helps users understand complex content by offering intelligent summaries and allowing them to ask questions directly about their documents.

A standout feature, Audio Overviews, creates AI-generated podcast-style summaries from uploaded materials and supports offline listening and background playback.

Mobile users can now create and manage notebooks directly from their devices. Instead of limiting content sources, the app enables users to add websites, PDFs, or YouTube videos by simply tapping the share icon and selecting NotebookLM.

It also offers easy access to previously added sources and adapts its appearance to match the device’s light or dark mode settings.

With the release timed just before Google’s keynote, it’s likely the company will highlight NotebookLM’s capabilities further during the I/O 2025 presentation.

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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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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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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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DeepMind unveils AlphaEvolve for scientific breakthroughs

Google DeepMind has unveiled AlphaEvolve, a new AI system designed to help solve complex scientific and mathematical problems by improving how algorithms are developed.

Rather than acting like a standard chatbot, AlphaEvolve blends large language models from the Gemini family with an evolutionary approach, enabling it to generate, assess, and refine multiple solutions at once.

Instead of relying on a single output, AlphaEvolve allows researchers to submit a problem and potential directions. The system then uses both Gemini Flash and Gemini Pro to create various solutions, which are automatically evaluated.

The best results are selected and enhanced through an iterative process, improving accuracy and reducing hallucinations—a common issue with AI-generated content.

Unlike earlier DeepMind tools such as AlphaFold, which focused on narrow domains, AlphaEvolve is a general-purpose AI for coding and algorithmic tasks.

It has already shown its value by optimising Google’s own Borg data centre management system, delivering a 0.7% efficiency gain—significant given Google’s global scale.

The AI also devised a new method for multiplying complex matrices, outperforming a decades-old technique and even beating DeepMind’s specialised AlphaTensor model.

AlphaEvolve has also contributed to improvements in Google’s hardware design by optimising Verilog code for upcoming Tensor chips.

Though not publicly available yet due to its complexity, AlphaEvolve’s evaluation-based framework could eventually be adapted for smaller AI tools used by researchers elsewhere.

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Android adds new scam protection for phone calls

Google is introducing new protections on Android devices to combat phone call scams, particularly those involving screen-sharing and app installations. Users will see warning messages if they attempt to change settings during a call and Android will also block the deactivation of Play Protect features.

The system will now block users from sideloading apps or granting accessibility permissions while on a call with unknown contacts.

The new tools are available on devices running Android 16 and select protections are also rolling out to older versions, starting with Android 11

A separate pilot in the UK will alert users trying to open banking apps during a screen-sharing call, prompting them to end the call or wait before proceeding.

These features expand Android’s broader efforts to prevent fraud, which already include AI-based scam detection for phone calls and messages.

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Google tests AI mode on Search page

Google is experimenting with a redesigned version of its iconic Search homepage, swapping the familiar ‘I’m Feeling Lucky’ button for a new option called ‘AI Mode.’

The fresh feature, which began rolling out in limited tests earlier in May, is part of the company’s push to integrate more AI-driven capabilities into everyday search experiences.

According to a Google spokesperson, the change is currently being tested through the company’s experimental Labs platform, though there’s no guarantee it will become a permanent fixture.

The timing is notable, arriving just before Google I/O, the company’s annual developer conference where more AI-focused updates are expected.

Such changes to Google’s main Search page are rare, but the company may feel growing pressure to adapt. Just last week, an Apple executive revealed that Google searches on Safari had declined for the first time, linking the drop to the growing popularity of AI tools like ChatGPT.

By testing ‘AI Mode,’ Google appears to be responding to this shift, exploring ways to stay ahead in an increasingly AI-driven search landscape instead of sticking to its traditional layout.

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Harvey adds Google and Anthropic AI

Harvey, the fast-growing legal AI startup backed early by the OpenAI Startup Fund, is now embracing foundation models from Google and Anthropic instead of relying solely on OpenAI’s.

In a recent blog post, the company said it would expand its AI model options after internal benchmarks showed that different tools excel at different legal tasks.

The shift marks a notable win for OpenAI’s competitors, even though Harvey insists it’s not abandoning OpenAI. Its in-house benchmark, BigLaw, revealed that several non-OpenAI models now outperform Harvey’s original system on specific legal functions.

For instance, Google’s Gemini 2.5 Pro performs well at legal drafting, while OpenAI’s o3 and Anthropic’s Claude 3.7 Sonnet are better suited for complex pre-trial work.

Instead of building its own models, Harvey now aims to fine-tune top-tier offerings from multiple vendors, including through Amazon’s cloud. The company also plans to launch a public legal benchmark leaderboard, combining expert legal reviews with technical metrics.

While OpenAI remains a close partner and investor, Harvey’s broader strategy signals growing competition in the race to serve the legal industry with AI.

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Google tests AI tool to automate software development

Google is internally testing an advanced AI tool designed to support software engineers through the entire development cycle, according to The Information. The firm is also expected to demonstrate integration between its Gemini chatbot in voice mode and Android-powered XR headsets.

The agentic AI assistant is said to handle tasks such as code generation and documentation, and has already been previewed to staff and developers ahead of Google’s I/O conference on 20 May. The move reflects a wider trend among tech giants racing to automate programming.

Amazon is developing its own coding assistant, Kiro, which can process both text and visual inputs, detect bugs, and auto-document code. While AWS initially targeted a June launch, the current release date remains uncertain.

Microsoft and Google have claimed that around 30% of their code is now AI-generated. OpenAI is also eyeing expansion, reportedly in talks to acquire AI coding start-up Windsurf for $3 billion.

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