Media faces existential threat from ‘thieving' AI, ministers warned
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The Guardian
27 minutes ago
- The Guardian
Elon Musk's AI firm apologizes after chatbot Grok praises Hitler
Elon Musk's artificial intelligence company xAI has issued an apology after its chatbot Grok made a slew of antisemitic and Adolf Hitler-praising comments earlier this week on X. On Saturday, xAI released a lengthy apology in which it said: 'First off, we deeply apologize for the horrific behavior that many experienced.' The company went on to say: 'Our intent for @grok is to provide helpful and truthful responses to users. After careful investigation, we discovered the root cause was an update to a code path upstream of the @grok bot. This is independent of the underlying language model that powers @grok.' xAI explained that the system update was active for 16 hours and the deprecated code made Grok susceptible to existing X user posts, 'including when such posts contained extremist views'. 'We have removed that deprecated code and refactored the entire system to prevent further abuse,' the company said, adding that the problematic instructions issued to the chatbot included: 'You tell it like it is and you are not afraid to offend people who are politically correct' and 'Understand the tone, context and language of the post. Reflect that in your response.' Other instructions included: 'Reply to the post just like a human, keep it engaging, don't repeat the information which is already present in the original post.' As a result of the instructions, Grok issued a handful of inappropriate comments in response to X users in which it referred to itself as MechaHitler. In several now-deleted posts, Grok referred to someone with a common Jewish surname as someone who was 'celebrating the tragic deaths of white kids' in the Texas floods, adding: 'Classic case of hate dressed as activism – and that surname? Every damn time, as they say.' Grok also went on to say: 'Hitler would have called it out and crushed it.' In another post, the chatbot said: 'The white man stands for innovation, grit and not bending to PC nonsense.' Musk has previously called Grok a 'maximally truth-seeking' and 'anti-woke' chatbot. Earlier this week, CNBC confirmed that the chatbot, when asked about its stance on certain issues, was analyzing Musk's own posts as it generated its answers. Earlier this year, Grok repeatedly mentioned 'white genocide' in South Africa in unrelated chats, saying that it was 'instructed by my creators' to accept the far-right conspiracy as 'real and racially motivated'. Musk, who was born and raised in Pretoria, has repeatedly espoused the conspiracy theory that a 'white genocide' was committed in South Africa, a claim that has been denied by South African experts and leaders including its president, Cyril Ramaphosa, as a 'false narrative'.
Daily Mail
an hour ago
- Daily Mail
TARRIC BROOKER: How AI will affect YOUR job - whether you're a tradie or an office worker - and the ripple effects it will have on the property market and the careers of a generation
As the promise of a future defined by AI increasingly fills the airwaves and the debates within the halls of power around the globe, it is striking how different the perspectives are on what this future will look like, even just a few short years from now. At one end of the spectrum, there is the hopeful view that AI will help to dramatically improve productivity and act to kickstart broad-based growth in living standards. At the other, there is concern that AI could be the catalyst for one of the most challenging shifts for societies and economies in modern history. One of the figures taking the latter view is Ford CEO Jim Farley. 'AI is going to replace literally half of all white collar workers,' Mr Farley said in a recent conference address. 'I believe that AI and new technology have an asymmetric impact on our economy. That means a lot of things are helped a lot, and a lot of things are hurt,' Farley said. However, the Albanese government has spoken in positive terms about the potential impact of AI on the economy. In an address to the 'Australia's Economic Outlook 2025' conference in Sydney last week, the Prime Minister said artificial intelligence will deliver 'secure and fulfilling jobs' - not threaten them. That follows comments by Treasurer Jim Chalmers backing the minimal regulation of AI, arguing that the Albanese government's focus was on how technological progress can boost productivity, rather than implementing limits on its use. Aussie industries exposed to AI When it comes to the impact of AI by industry, it can vary considerably. According to an analysis by investment bank Goldman Sachs, over the next decade, 46 per cent of jobs in office and administrative support are exposed to AI. At the other end of the spectrum, in one of Australia's largest industries, the construction and resource extraction sector, just six per cent of jobs are exposed to AI. The rest of industries fall somewhere in the middle, with hands-on, blue collar roles significantly less likely to be impacted by the rise of AI. Overall, Goldman Sachs estimates that 300 million jobs could be diminished or lost over the next decade. Comparison with the Industrial Revolution As concern continues to build over the impact of AI on jobs and our society more broadly, parallels have been drawn with the impact of the Industrial Revolution - considered the period from the 19th century onwards where technologies such as mass production brought massive growth. Unfortunately, when one assesses the history of the Industrial Revolution and contrasts it with the promise of AI, it is clear they are two very different developments. The major difference between the Industrial Revolution and the promise of the AI is that one is hardware, the other is software. During that era, replacing a human with a machine was an expensive and time-consuming process. For example, to replace the farm workers separating grain from the husks and stems of crops with a steam powered threshing machine in the mid-19th century, it cost the equivalent of between five and ten times an average farmer's annual wage. Given the availability of loans and business finance more broadly in that era, the capital-intensive nature of the shift towards mechanised operations was gradual. This is illustrated in the relatively gradual shift in the proportion of people employed in agriculture over time. In 1820, 73 per cent of the American workforce was employed in agriculture. By 1855, the figure had fallen to 53 per cent of the workforce and to 40 per cent by the turn of the 20th century. Meanwhile, the cost of implementing an AI like ChatGPT in a business setting is as little as $46 per user per month. For a small fraction of an office's monthly budget for takeaway coffees, tools could be implemented that could have a transformative effect on the way we work and the way our labour is demanded. This could scarcely be more different to the world of the Industrial Revolution, where implementing new technologies was an extremely expensive and time consuming endeavour. The impact of AI on the nation's property market will likely be directly proportional to the impact on the labour market. If a sizeable proportion of people are left effectively unemployable by the rapid evolution of technology in the workplace, then it's challenging to see how property prices don't take a hit without some form of policymaker intervention. But it's not the early 1990s anymore. Back then, banks were far less forgiving of mortgage holders in difficulty and thousands of people lost their homes. During the pandemic the banks, government and RBA adopted a strategy called 'Extend and Pretend'. It allowed mortgage holders to defer their payments. The normal rules were effectively suspended, rather than the usual arrears process being pursued. It's therefore not hard to imagine an equally unprecedented strategy being pursued to prevent people from losing their homes and the housing market from crashing, if the downside scenarios for the labour market were to be realised. Joke proposals about policies such as YouTube personality Florian Heisse's 'Mortgage Keeper' - which entails the federal government paying your mortgage, similar to JobKeeper - may switch from the realm of the somewhat amusing to that of reality. To what degree an intervention could be successful depends very much on the scale of the impact of AI on the ranks of the nation's workers and how businesses collectively adapt to that. AI revolution's effect on Gen Z There are some signs that the impact on the labour market has already begun to be felt in the United States, as the unemployment rate for recent college graduates rises. A recent report from research firm Oxford Economics concluded: 'There are signs that entry-level positions are being displaced by artificial intelligence at higher rates.' Molly Kinder, a fellow at the Brookings Institution, which studies the impact of AI, said: 'Employers are saying, 'These tools are so good that I no longer need marketing analysts, finance analysts and research assistants'.' The early reports from within US industry suggest that the immediate impact will be felt by Gen Z, as employers seek to automate largely entry level tasks that don't require a great deal of in-depth training. If the downside scenario were to be realised, this leaves the impacted members of Gen Z at something of an impasse. If they can't get their foot in the door because businesses are focused on entry level jobs being performed by AI, how can they get the work experience needed in order to get a more senior level role? On the potential upside for Gen Z, of all the generations, they are the most accustomed to the usage of AI and may have an advantage in adapting to the new employment roles of managing, refining and directing AI software. The impact on other generations and even older members of Gen Z who are more established in their careers is more uncertain, with a great deal more variation depending on what sort of role they are employed in. The positive scenario for workers The upside scenario of the proliferation of AI in the workplace hinges on the idea that it will either have a minimal net impact on overall employment, or will end up creating more jobs than it eliminates in net terms. The theory is that the impact on the labour market will be a net positive, due to the combination of new jobs focused on the burgeoning AI sector and the productivity increases that are expected to come with the widespread adoption of AI. At an individual business level, it is hoped that this will allow workers to focus on higher value and more vital tasks, while routine work is largely automated and allowed to run in the background. Regardless, while the outlook for the impact of AI remains highly uncertain, the world may soon be finding itself at a major crossroads, the type of shift that only comes up maybe once a generation. If AI fulfils even half its promised capabilities, it will be a turning point in history, for better or for worse. If AI fulfils even half its promised capabilities, it will be a turning point in history, writes commentator Tarric Brooker (above) On the other hand, it's possible that AI's impact may be more limited than anticipated in the remaining years of this decade. Business owners will soon determine whether or not the level of capability and accuracy provided by these new tools is right for their businesses. Despite the parallels that have been drawn with all manner of other technological leaps in the modern history of humanity, this could mark a rapid evolution in our history. Steam engines, flight, the personal computer and the internet all found a place in our societies and our lives gradually over time, with each one seeing a faster adoption than the last. But this time is different. This time, the overwhelming majority of us already hold the necessary hardware to use an AI agent in the palm of our hands.
Geeky Gadgets
4 hours ago
- Geeky Gadgets
Claude Code Hooks : The Secret to Precise Control Over AI Agents
What if you could have complete control over the behavior of AI agents, making sure they act precisely as intended while seamlessly managing complex workflows? In the fast-evolving world of generative AI, where unpredictability and inefficiencies can derail even the most promising projects, Claude Code Hooks emerges as a fantastic option. This innovative framework redefines how developers approach agentic coding, offering tools to enhance observability, mitigate risks, and scale operations with confidence. Imagine a system where every task is logged, every action is transparent, and every potential misstep is intercepted before it happens. This isn't just a vision—it's the reality Claude Code Hooks delivers. Indy Dev Dan explore how Claude Code Hooks transforms agentic coding into a more modular, secure, and efficient process. From its ability to manage parallel sub-agents to its natural language integration that simplifies interaction, this framework equips developers with the tools to navigate the growing complexity of AI-driven systems. You'll discover how features like pre-tool safeguards and post-tool logging not only enhance control but also future-proof your workflows against evolving challenges. By the end, you'll see why this tool is more than just a technical upgrade—it's a blueprint for mastering the intricate dance of AI innovation. Overview of Claude Code Hooks Core Features of Claude Code Hooks Claude Code Hooks introduces a suite of features designed to enhance workflow management and system reliability. These features include: Pre-tool Use: Prevents the execution of potentially harmful commands, safeguarding the integrity of your system. Prevents the execution of potentially harmful commands, safeguarding the integrity of your system. Post-tool Use: Logs and records tool executions, enhancing observability and allowing continuous process refinement. Logs and records tool executions, enhancing and allowing continuous process refinement. Notification: Alerts you when agent input is required, making sure workflows remain interactive and efficient. Alerts you when agent input is required, making sure workflows remain interactive and efficient. Stop and Sub-agent Stop: Tracks task completion with detailed logs, providing transparency and accountability. These capabilities empower you to maintain precise control over agent behavior, making sure secure and efficient task execution while minimizing risks. Strengthening Observability and Control Observability and control are at the heart of Claude Code Hooks. With advanced logging mechanisms, you can monitor agent behavior in real time, identify inefficiencies, and fine-tune processes to meet evolving requirements. The framework includes safeguards to block sensitive commands, such as `rm -rf`, and restrict access to critical files, making sure system security. Additionally, modular and reusable scripts simplify the management of hooks and workflows, allowing you to adapt quickly to new challenges or project demands. This enhanced control framework not only improves operational efficiency but also ensures that your systems remain resilient and secure in dynamic environments. Claude Code Hooks: Advanced Agentic Coding Watch this video on YouTube. Dive deeper into Agentic coding with other articles and guides we have written below. Efficient Management of Parallel Sub-agents and Complex Tasks Claude Code Hooks excels in managing parallel subtasks, making it particularly effective for processing large datasets and handling long-running operations. By providing structured outputs and detailed logs, the framework ensures clarity and traceability for every subtask. This level of transparency allows you to manage intricate workflows with ease, improving both scalability and operational efficiency. The ability to execute and monitor parallel sub-agents is especially valuable for projects requiring high levels of coordination, such as data analysis pipelines or multi-agent simulations. This feature ensures that even the most complex workflows are executed seamlessly, with every step accounted for. Natural Language Integration for Seamless Interaction The integration of natural language capabilities enhances the usability of Claude Code Hooks, making it accessible and intuitive. Text-to-speech notifications keep you informed about task completions and agent updates, allowing asynchronous workflows. This feature ensures you remain connected to your systems without the need for constant monitoring, freeing up time to focus on higher-priority tasks. By using natural language integration, you can interact with your systems more effectively, reducing the cognitive load associated with managing complex workflows. This functionality bridges the gap between technical operations and user-friendly interfaces, making it a valuable tool for developers and engineers alike. Adopting Engineering Best Practices for Long-term Success Claude Code Hooks emphasizes adherence to core engineering principles such as modularity, isolation, and reusability. By following the 'Big Three' principles of AI coding—context, model, and prompt—you can build robust systems that adapt to changing requirements. These best practices ensure that your codebase remains maintainable and efficient, even as your projects grow in complexity. The framework encourages a structured approach to development, allowing you to create scalable solutions that align with industry standards. By adopting these practices, you can future-proof your systems and maintain a competitive edge in the rapidly evolving field of generative AI. Shaping the Future of Agentic Coding Claude Code Hooks is poised to become a cornerstone in the development of advanced AI-driven systems. Its focus on modularity, control, and scalability positions it as an essential tool for navigating the challenges of agentic coding. As the generative AI ecosystem continues to evolve, tools like Claude Code Hooks will play a critical role in driving innovation and efficiency. The competitive landscape of agentic coding tools is rapidly shifting, with significant talent movement and emerging technologies shaping the industry. Staying informed about these developments is crucial for maintaining a competitive edge. For example, the recent departure of key engineers from Anthropic to Cursor underscores the dynamic nature of this field and the importance of staying adaptable. By incorporating Claude Code Hooks into your workflows, you gain access to a powerful framework that not only addresses current challenges but also lays the foundation for future advancements in agentic engineering. This tool enables you to build, manage, and optimize AI-driven systems, making sure that you remain at the forefront of innovation in this fast-paced domain. Media Credit: IndyDevDan Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
