logo
The Good, The Bad, And The Apocalypse: Tech Pioneer Geoffrey Hinton Lays Out His Stark Vision For AI

The Good, The Bad, And The Apocalypse: Tech Pioneer Geoffrey Hinton Lays Out His Stark Vision For AI

Scoop2 days ago

Article – RNZ
It's the question that keeps Geoffrey Hinton up at night: What happens when humans are no longer the most intelligent life on the planet?
, Producer – 30′ with Guyon Espiner
It's the question that keeps Geoffrey Hinton up at night: What happens when humans are no longer the most intelligent life on the planet?
'My greatest fear is that, in the long run, the digital beings we're creating turn out to be a better form of intelligence than people.'
Hinton's fears come from a place of knowledge. Described as the Godfather of AI, he is a pioneering British-Canadian computer scientist whose decades of work in artificial intelligence earned him global acclaim.
His career at the forefront of machine learning began at its inception – before the first Pacman game was released.
But after leading AI research at Google for a decade, Hinton left the company in 2023 to speak more freely about what he now sees as the grave dangers posed by artificial intelligence.
Talking on this weeks's 30 With Guyon Espiner, Hinton offers his latest assessment of our AI-dominated future. One filled with promise, peril – and a potential apocalypse.
The Good: 'It's going to do wonderful things for us'
Hinton remains positive about many of the potential benefits of AI, especially in fields like healthcare and education. 'It's going to do wonderful things for us,' he says.
According to a report from this year's World Economic Forum, the AI market is already worth around US$5 billion in education. That's expected to grow to US$112.3 billion in the next decade.
Proponents like Hinton believe the benefits to education lie in targeted efficiency when it comes to student learning, similar to how AI assistance is assisting medical diagnoses.
'In healthcare, you're going to be able to have [an AI] family doctor who's seen millions of patients – including quite a few with the same very rare condition you have – that knows your genome, knows all your tests, and hasn't forgotten any of them.'
He describes AI systems that already outperform doctors in diagnosing complex cases. When combined with human physicians, the results are even more impressive – a human-AI synergy he believes will only improve over time.
Hinton disagrees with former colleague Demis Hassabis at Google Deepmind, who predicts AI learning is on track to cure all diseases in just 10 years. 'I think that's a bit optimistic.'
'If he said 25 years I'd believe it.'
The Bad: 'Autonomous lethal weapons'
Despite these benefits, Hinton warns of pressing risks that demand urgent attention.
'Right now, we're at a special point in history,' he says. 'We need to work quite hard to figure out how to deal with all the short-term bad consequences of AI, like corrupting elections, putting people out of work, cybercrimes.'
He is particularly alarmed by military developments, including Google's removal of their long-standing pledge not to use AI to develop weapons of war.
'This shows,' says Hinton of his former employers, 'the company's principals were up for sale.'
He believes defense departments of all major arms dealers are already busy working on 'autonomous lethal weapons. Swarms of drones that go and kill people. Maybe people of a particular kind'.
He also points out the grim fact that Europe's AI regulations – some of the world's most robust – contain 'a little clause that says none of these regulations apply to military uses of AI'.
Then there is AI's capacity for deception – designed as it to mimic the behaviours of its creator species. Hinton says current systems can already engage in deliberate manipulation, noting Cybercrime has surged – in just one year – by 1200 percent.
The Apocalyptic: 'We'd no longer be needed'
At the heart of Hinton's warning lies that deeper, existential question: what happens when we are no longer the most intelligent beings on the planet?
'I think it would be a bad thing for people – because we'd no longer be needed.'
Despite the current surge in AI's military applications, Hinton doesn't envisage an AI takeover being like The Terminator franchise.
'If [AI] was going to take over… there's so many ways they could do it. I don't even want to speculate about what way [it] would choose.'
'Ask a chicken'
For those who believe a rogue AI can simply be shut down by 'pulling the plug', Hinton believes it's not far-fetched for the next generation of superintelligent AI to manipulate people into keeping it alive.
This month, Palisade Research reported that Open AI's Chat GPT 03 model altered shut-down codes to prevent itself from being switched off – despite being given clear instructions to do so by the research team.
Perhaps most unsettling of all is Hinton's lack of faith in our ability to respond. 'There are so many bad uses as well as good,' he says. 'And our political systems are just not in a good state to deal with this coming along now.'
It's a sobering reflection from one of the brightest minds in AI – whose work helped build the systems now raising alarms.
He closes on a metaphor that sounds absurd as it does chilling: 'If you want to know what it's like not to be the apex intelligence, ask a chicken.'
Watch the full conversation with Geoffrey Hinton and Guyon Espiner on 30 With Guyon Espiner.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Deel Surpasses US$1 Billion Run Rate, Signaling A New Era In Global HR
Deel Surpasses US$1 Billion Run Rate, Signaling A New Era In Global HR

Scoop

timean hour ago

  • Scoop

Deel Surpasses US$1 Billion Run Rate, Signaling A New Era In Global HR

4th June 2025 – Leading payroll and HR company Deel announced today that it surpassed a US$1 billion run rate in Q1 2025 — a significant milestone achieved in just six years since its founding. This accomplishment underscores Deel's rapid growth, global scale, and unwavering commitment to enabling the global future of work. Financial snapshot: Deel crossed $1 billion run rate in Q1 2025 and has continued to grow in April & May It has achieved 75% year on year revenue growth, April 2024-2025. Deel has been profitable since Q3 2023 and has not raised money since 2022. In Q1 2025 it achieved double digit EBITDA margin growth. It has achieved 164% year on year growth across its HR and payroll products, April 2024-2025. With a customer base exceeding 35,000 companies and 1.25m workers across 150+ countries — including industry leaders like Klarna, BCG, and — Deel has emerged as a foundational platform for modern workforce management. The company's integrated product suite and owned infrastructure has reshaped how organisations hire, pay, and manage employees. It offers a unified product platform - eliminating the traditional patchwork of providers many companies used previously - as well as white label and unbundled services, driving long-term growth diversification. 'When I first met Deel, there were 10 people with a big idea, and now they're powering global teams at a massive scale,' said Anish Acharya, General Partner at Andreessen Horowitz and Board Member at Deel. 'Alex and Shuo continue to execute on their vision, methodically building a platform that reduces the complexity of global hiring and enables companies to onboard talent anywhere in the world with speed and confidence. As a result, Deel has become the default infrastructure for global work. Their product velocity and early bet on AI have unlocked tools that make global work simpler and more accessible for customers everywhere.' 'Reaching a $1 billion run rate is a reflection of the trust our customers have put in us,' said Alex Bouaziz, Co-founder and CEO of Deel. 'From day one, we believed the future of work demanded a new kind of infrastructure — one that was global, flexible, and obsessed with quality. We're proud of this milestone, but we're even more excited about what's next. Our work has only just begun.' About Deel Deel is the all-in-one payroll and HR platform for global teams. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, IT asset equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Snowflake unveils Gen2 warehouse, AI tools for analytics
Snowflake unveils Gen2 warehouse, AI tools for analytics

Techday NZ

time4 hours ago

  • Techday NZ

Snowflake unveils Gen2 warehouse, AI tools for analytics

Snowflake has announced a series of enhancements to its data platform, introducing new compute innovations aimed at increasing speed, efficiency, and AI-driven data governance for users globally, including those in Canada. The company has launched its Standard Warehouse – Generation 2 (Gen2), an update to its virtual warehousing service, which is now generally available. According to Snowflake, Gen2 delivers analytics performance that is 2.1 times faster than its predecessor, with the goal of allowing organisations to derive insights more quickly and support data-driven decisions at pace with AI developments. "We're reimagining what customers can expect from a modern data platform, delivering faster performance, easier scalability, and greater value for every dollar spent. Snowflake's Gen2 more than doubles the speed of core analytics workloads, helping teams make quicker, data-driven decisions. Coupled with Adaptive Warehouses, we're enabling customers with an easier, more efficient approach to platform management where resource decisions are automated and right-sized. This isn't just about infrastructure improvements, it's about preparing your business to innovate quickly in the fast-moving AI era," said Artin Avanes, Head of Core Data Platform at Snowflake. Alongside Gen2, Snowflake has introduced the private preview of a new service called Adaptive Compute. This service automates resource allocation and management within data warehouses, using automatic resource sizing and sharing to help users achieve better performance without increasing operational costs. Warehouses utilising Adaptive Compute, referred to as Adaptive Warehouses, are designed to optimise compute resources in real time, reducing the need for manual configuration and intervention. Steve Ring, Director of Enterprise Database Solutions at Pfizer, commented on the announcement, highlighting the importance of operational efficiency for large enterprises. "As one of the world's premier biopharmaceutical companies, efficiency and scalability are critical to everything we do as we race to deliver medical innovations. Snowflake's easy, connected, and trusted platform has been instrumental in streamlining our operations so that we can maximize the value of our data, and the impact we drive for end users. We're excited about the potential of Adaptive Warehouses to build on that success. What we're seeing with Adaptive Warehouses is just the beginning of a larger trend in cloud computing — the ability to dynamically adjust resources based on workload demands, without human intervention," Ring said. Snowflake states that Gen2 was developed to address issues associated with growing data volumes and increasingly complex analytics workflows, which can slow down queries and limit productivity. The upgrade incorporates new hardware and software improvements, supporting more efficient analytics at a time when organisations are handling scalable, end-to-end data workloads. The company also outlined a number of advancements in its Snowflake Horizon Catalog. New features include increased interoperability through Catalog-Linked Databases, which can automatically sync with Apache Iceberg objects managed by various REST Catalogs, including Apache Polaris and AWS Glue. These integrations are aimed at simplifying advanced governance and discovery across heterogeneous data environments. Data discovery capabilities are set for expansion with External Data in Universal Search, allowing users to find and access data from external relational databases, such as PostgreSQL and MySQL, directly from the Snowflake environment. This is expected to extend data visibility for users operating across diverse platforms. On the security and governance front, Snowflake is introducing Copilot for Horizon Catalog, an AI-powered chat interface—currently in private preview—that enables users to ask governance and security questions without requiring SQL expertise. This feature is intended to streamline oversight, enhance compliance, and accelerate security-related decision-making through conversational AI. For improved resilience and compliance, Snowflake is rolling out point-in-time, immutable backups with the Snapshots feature, which is entering public preview. Snapshots are designed to prevent alterations or deletions after creation, providing customers with data recovery capabilities critical for regulatory and cyber resilience, especially in cases of ransomware. The Trust Center functionality is also being extended, offering customers the ability to build and integrate partner security scanners that can be customised to meet industry-specific compliance demands. Snowflake suggests this flexibility will support companies' varying regulatory requirements. In order to support developer productivity and faster performance optimisation, the company has generally released new AI Observability Tools, providing real-time insights and diagnostics across data environments. These additions are intended to help users rapidly identify and address issues, and to ensure informed operational decisions across their data infrastructure.

Snowflake launches Openflow to speed AI data integration
Snowflake launches Openflow to speed AI data integration

Techday NZ

time4 hours ago

  • Techday NZ

Snowflake launches Openflow to speed AI data integration

Snowflake has introduced Snowflake Openflow, a data movement service designed to facilitate data interoperability and accelerate data transfer for artificial intelligence initiatives. Snowflake Openflow allows users to connect to a wide range of data sources and architectures, streamlining the process of integrating enterprise data ecosystems with AI models, applications, and data agents directly within the Snowflake platform. The service eliminates fragmented data stacks and seeks to reduce the manual effort data teams invest in ingestion tasks. Snowflake says Openflow supports an open, extensible, and managed approach to data integration, enabling unified data management for rapid deployment of AI-powered solutions. "Snowflake Openflow dramatically simplifies data accessibility and AI readiness. We're seeing more customers adopt an AI-first data strategy, which is dependent on having access to all of your data in a single platform. With Snowflake Openflow, we're redefining what open, extensible, and managed data integration looks like, so our customers can quickly build AI-powered apps and agents without leaving their data behind," Chris Child, Vice President of Product, Data Engineering at Snowflake, said. Snowflake Openflow is powered by Apache NiFi, an open-source technology for automating the flow of data between systems. This enables engineers to develop custom connectors rapidly and operate them on Snowflake's managed platform. Ready-to-use connectors and processors allow integration from an array of data sources such as Box, Google Ads, Microsoft Dataverse, Microsoft SharePoint, Oracle, Proofpoint, Salesforce Data Cloud, ServiceNow, Workday, and Zendesk, with support for destinations that extend beyond the Snowflake platform. Customers including Irwin, Securonix, and WorkWave are planning to use these features to move and scale data in their operations, leveraging hundreds of connectors to simplify global data transfer. The platform also includes features such as dbt Projects, improved support for Apache Iceberg tables, and Snowpipe Streaming, all of which are aimed at making data engineering more collaborative and scalable. With a market opportunity estimated at USD $15 billion, Snowflake Openflow enables businesses to integrate both structured and unstructured, batch and streaming data from virtually any source, whether on-premise or in the cloud. This supports enterprises seeking to establish a single connected view of their data as they build out AI projects, without the complexity of vendor lock-in. Snowflake's additional data engineering advancements include new capabilities to support dbt Projects natively within Snowflake via a new development environment, Snowflake Workspaces. This facilitates automation, integration with git, and assistance from an AI Copilot. The company has also extended its support for semi-structured data using the VARIANT data type and added optimisations for handling file sizes and partitions, particularly benefiting those managing Apache Iceberg tables. Improvements to data streaming are also being rolled out, with Snowpipe Streaming now offering a higher throughput of up to 10 gigabytes per second and reduced latency, allowing near real-time data querying following ingestion. Several partners commented on Snowflake Openflow and their collaborations: "Our partnership with Snowflake is dedicated to empowering businesses to create exceptional customer experiences through the strategic use of their data. With Snowflake Openflow, our joint customers will be able to seamlessly integrate a wider array of rich customer insights and audience data from Adobe Experience Platform with their broader enterprise data in Snowflake. This will accelerate their ability to unlock more holistic insights and activate them with enhanced agility, powering highly personalised engagements with remarkable efficiency," Justin Merickel, Vice President for Analytics and Technology Partners at Adobe, stated. "Enterprises today face increasing pressure to unify fragmented data and make it AI-ready, and that starts with seamless, scalable integration. The strategic partnership between Box and Snowflake combines the leading platforms for both their unstructured and structured data to use the power of AI to unlock the value of their data like never before. Together, we're removing the complexity of data integrations so customers can maximise value and accelerate outcomes across the entire content lifecycle," Ben Kus, Chief Technology Officer at Box, said. "Microsoft is collaborating with Snowflake to make data from Microsoft Dataverse, Dynamics 365 apps, and Power Platform apps easily connected across enterprise data ecosystems through Snowflake Openflow. The ready-to-use connectors make data movement fast, effortless, and secure so customers can reach their full data potential to advance meaningful AI development," Nirav Shah, Corporate Vice President, Dataverse, Microsoft, commented. "Enterprises today are looking to unlock the full potential of their data, wherever it resides, to drive transformative AI initiatives. Our expanded partnership with Snowflake and the introduction of this new, high-speed connector directly addresses this need. By enhancing the interoperability and performance of data connectivity with the Snowflake AI Data Cloud, we are empowering our joint customers to accelerate their data pipelines to gain faster, more actionable insights that can truly move their businesses forward in the AI era," Jeff Pollock, Vice President of Product Management at Oracle, said. "AI has drastically increased the volume and velocity of data, making it even more imperative for enterprises to maintain full control and governance over their most valuable asset. Snowflake Openflow ensures that fully interoperable data movement is not only possible, but can be secure at the same time. Proofpoint DSPM enables customers to classify sensitive data inline within Openflow and apply Snowflake tags to it, unlocking a more complete, centralised data landscape so they can innovate confidently and securely," Amer Deeba, Group Vice President, Proofpoint DSPM group, explained. "The new integration with Snowflake Openflow represents an important enhancement in our existing Zero Copy data integration, actively dismantling these barriers. It empowers joint customers with more functionality to seamlessly and securely access and activate all their data in real time, transforming enterprise data to fuel AI-powered applications and intelligent agents across their operations," Nick Johnston, SVP of Strategic Partnerships and Business Development at Salesforce, remarked. "As AI adoption increases, there's an increasing need to eliminate data siloes through bi-directional integrations with enterprise data lakes like Snowflake. Through our partnership with Snowflake Openflow and ServiceNow's Workflow Data Network, we're eliminating data siloes so that our customers can reap the benefits of intelligent automation to better power their organisations," Amit Saxena, Vice President and General Manager, Workflow Data Fabric, ServiceNow, said. "Zendesk powers more than 10,000 AI customers worldwide, delivering real-time, personalised support at scale. Our partnership with Snowflake and the launch of Snowflake Openflow creates an unprecedented, fully-integrated data ecosystem that drives smarter insights and accelerates AI innovation across customer journeys. Together, we're defining the future of AI-powered service and helping businesses transform their customer experience through data-driven intelligence," Tim Marsden, VP of Technology Alliances at Zendesk, commented.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store