Sam Altman, co-founder and CEO of OpenAI, raises a critical question: ‘Who will control the future of AI?’. He frames it as a choice between a democratic vision, led by the US and its allies to disseminate AI benefits widely, and an authoritarian one, led by nations like Russia and China, aiming to consolidate power through AI. Altman underscores the urgency of this decision, given the rapid advancements in AI technology and the high stakes involved.
Altman warns that while the United States currently leads in AI development, this advantage is precarious due to substantial investments by authoritarian governments. He highlights the risks if these regimes take the lead, such as restricted AI benefits, enhanced surveillance, and advanced cyber weapons. To prevent this, Altman proposes a four-pronged strategy – robust security measures to protect intellectual property, significant investments in physical and human infrastructure, a coherent commercial diplomacy policy, and establishing international norms and safety protocols.
He emphasises proactive collaboration between the US government and the private sector to implement these measures swiftly. Altman believes that proactive efforts today in security, infrastructure, talent development, and global governance can secure a competitive advantage and broad societal benefits. Ultimately, Altman advocates for a democratic vision for AI, underpinned by strategic, timely, and globally inclusive actions to maximise the technology’s benefits while minimising risks.
IBM has reported stronger-than-expected revenue for the second quarter and raised its annual growth forecast for its software business. This growth is driven by increased client expenditure on AI technology, particularly through the expansion of its Watsonx platform. Watsonx supports both AI deployment and open-source AI models. Shares rose by about 3% in extended trading, adding to a 12% gain this year from the AI sector rally.
Software revenue for the quarter grew by 7% to £6.74 billion. The 113-year-old company now expects this segment to achieve high-single-digit growth in 2024, exceeding its previous forecast. The AI Book of Business, which includes bookings and sales across various products, has grown to £2 billion, with £1 billion added in the second quarter alone.
In contrast, IBM has lowered its annual consulting revenue expectations. They are now forecasting low-single-digit growth instead of the previously anticipated 6%-8% range. Consulting revenue fell by 1% to £5.18 billion due to reduced client expenditure on short-term projects amid higher interest rates and inflation.
Overall revenue for the second quarter reached $15.77 billion, surpassing analysts’ estimates of $15.62 billion. Adjusted profit was $2.43 per share, beating the expected $2.20, driven by strong sales in the high-margin software business.
Meta’s Oversight Board has criticised the company’s rules on sexually explicit AI-generated depictions of real people, stating they are ‘not sufficiently clear.’ That follows the board’s review of two pornographic deepfakes of famous women posted on Meta’s Facebook and Instagram platforms. The board found that both images violated Meta’s policy against ‘derogatory sexualised photoshop,’ which is considered bullying and harassment and should have been promptly removed.
In one case involving an Indian public figure, Meta failed to act on a user report within 48 hours, leading to an automatic ticket closure. The image was only removed after the board intervened. In contrast, Meta’s systems automatically took down the image of an American celebrity. The board recommended that Meta clarify its rules to cover a broader range of editing techniques, including generative AI. It criticised the company for not adding the Indian woman’s image to a database for automatic removals.
Meta has stated it will review the board’s recommendations and update its policies accordingly. The board emphasised the importance of removing harmful content to protect those impacted, noting that many victims of deepfake intimate images are not public figures and struggle to manage the spread of non-consensual depictions.
The US Senate has unanimously passed the DEFIANCE Act, allowing victims of nonconsensual intimate images created by AI, known as deepfakes, to sue their creators for damages. The bill enables victims to pursue civil remedies against those who produced or distributed sexually explicit deepfakes with malicious intent. Victims identifiable in these deepfakes can receive up to $150,000 in damages and up to $250,000 if linked to sexual assault, stalking, or harassment.
The legislative move follows high-profile incidents, such as AI-generated explicit images of Taylor Swift appearing on social media and similar cases affecting high school girls across the country. Senate Majority Leader Chuck Schumer emphasised the widespread impact of malicious deepfakes, highlighting the urgent need for protective measures.
Schumer described the DEFIANCE Act as part of broader efforts to implement AI safeguards to prevent significant harm. He called on the House to pass the bill, which has a companion bill awaiting consideration. Schumer assured victims that the government is committed to addressing the issue and protecting individuals from the abuses of AI technology.
Google Cloud announced Wednesday that their AI service (Vertex) will use Mistral AI’s Codestral AI model, as the Google Cloud team explained.
“Today, we’re announcing that Google Cloud is the first hyper scaler to introduce Codestral – Mistral AI’s first open-weight generative AI model explicitly designed for code generation tasks — as a fully managed service.”, the company emphasised.
Mistral AI is a Paris-based startup firm founded in 2023 by former Google Deep Mind and Meta AI scientists. The partnership shows the quick growth of Mistral AI, considered the European alternative to Microsoft-backed OpenAI by many analysts.
Microsoft previewed Bing’s generative search, which is the answer to Google’s AI-powered search experiences. It is currently only available for a small percentage of users. It aggregates information from around the web and generates a summary in response to search queries.
Bing generative search will show information about the search and provide top examples, links, and sources showing where those details came from. As with Google’s similar AI Overviews feature, there’s an option to dismiss AI-generated summaries for traditional search from the same results page.
These AI-generated overview features have already generated concern, especially among publishers, as they threaten to cannibalise traffic to the sites from which they source their information. A study found that AI Overviews could negatively affect about 25% of publisher traffic due to the de-emphasis on article links.
Microsoft insists that it’s ‘maintaining the number of clicks to websites’ and ‘look[ing] closely at how generative search impacts traffic to publishers.’ According to Kyle Wiggers, senior reporter at TechCrunch, the company had no stats to back this commitment, alluding only to ‘early data’ that it’s choosing to keep private for the time being.
A new AI video-generating model, Kling, developed by Beijing-based Kuaishou, is now widely available but with significant limitations. Initially launched in a waitlisted access for users with Chinese phone numbers, Kling can now be accessed by anyone providing their email. The model generates five-second videos based on user prompts, simulating physics like rustling leaves and flowing water with a resolution of 720p.
However, Kling censors politically sensitive topics. Prompts related to ‘Democracy in China,’ ‘Chinese President Xi Jinping,’ and ‘Tiananmen Square protests’ result in error messages. The censorship occurs at the prompt level, allowing for the generation of videos related to these topics as long as they are not explicitly mentioned.
That behaviour likely stems from intense political pressure from the Chinese government. The Cyberspace Administration of China (CAC) is actively testing AI models to ensure they align with core socialist values and has proposed a blacklist of sources for training AI models. Companies must prepare models that produce ‘safe’ answers to thousands of questions, which may slow China’s AI development and create two classes of models: those heavily filtered and those less so.
The dichotomy raises questions about the broader implications for the AI ecosystem, as restrictive policies may hinder technological advancement and innovation.
Researchers at the Paul Scherrer Institute (PSI) and the Massachusetts Institute of Technology (MIT) have developed an AI system to improve the categorisation of breast cancer. The new technology, led by G.V. Shivashankar from PSI and Caroline Uhler from MIT, aims to provide a reliable and cost-effective method for predicting the progression of ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC).
DCIS, a precursor of breast cancer in the milk ducts, accounts for about 25% of breast cancer diagnoses. It can develop into a threatening invasive form in 30 to 50% of cases. The AI system, trained on tissue samples stained with DAPI dye, analyses chromatin images to identify patterns matching those identified by human pathologists. This approach leverages AI’s potential, as highlighted by research in Lancet Digital Health showing AI outperforming radiologists in breast cancer detection.
The researchers believe this AI-based tumour classification method has significant potential, though further studies are necessary to ensure its reliability and safety. The US Department of Defense (DoD) has been using AI to detect cancer since 2020, showcasing the growing role of AI in medical diagnostics. The new system developed by PSI and MIT could lead to more accurate predictions and better treatment decisions for patients.
Meta CEO Mark Zuckerberg has proposed a vision where AI bots assist content creators with audience engagement, aiming to free up their time for more crucial tasks. In an interview with internet personality Rowan Cheung, Zuckerberg discussed how these AI bots could capture the personalities and business objectives of creators, allowing fans to interact with them as if they were the creators themselves.
Zuckerberg’s optimism aligns with many in the tech industry who believe AI can significantly enhance the impact of individuals and organizations. However, there are concerns about whether creators, whose audiences value authenticity, will embrace generative AI. Meta’s initial rollout of AI-powered bots earlier this year faced issues, including bots making false claims and providing misleading information, raising questions about the technology’s reliability.
Meta claims improvements with its latest AI model, Llama 3.1, but challenges such as hallucinations and planning errors persist. Zuckerberg acknowledges the need to address these concerns and build trust with users. Despite these hurdles, Meta continues to focus on integrating AI into its platforms while also pursuing its Metaverse ambitions and competing in the tech space.
Samsung is relaunching Bixby, its virtual assistant initially introduced in 2017. The new version will feature advanced AI capabilities, enhancing user interactions with generative AI powered by Samsung’s proprietary large language model. The announcement was confirmed by TM Roh, head of Samsung’s mobile division, who emphasised the improvements aimed at making Bixby a more natural conversational interface.
Samsung recently unveiled the Galaxy Z Fold 6 and Galaxy Z Flip 6, highlighting new AI tools designed to enhance the user experience. However, the upgraded Bixby was not mentioned during the latest Galaxy Unpacked event. Speculations suggest that the new Bixby may debut with the Galaxy S25 series early next year, though no specific timeline has been provided.
Reintroducing Bixby into a market dominated by Google Assistant, Amazon Alexa and Apple’s Siri is a significant challenge. Apple has also announced AI enhancements for Siri, intensifying the competition. Samsung aims to differentiate Bixby by seamlessly integrating it with its extensive product ecosystem, providing a unique user experience.
The timeline for Bixby’s AI upgrade remains unclear. Whether Samsung’s virtual assistant will reclaim its position among the top contenders in the market is uncertain. However, Samsung is determined to make a strong impact with its revitalised Bixby.
