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Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve. Unlike humans, who learn by reflecting on their experiences, recognizing mistakes, and adjusting their approach, LLMs lack an internal mechanism for self-correction.
Sam Altman, CEO and co-founder of OpenAI , has shared candid reflections on the companys journey as it aims to achieve superintelligence. With ChatGPT recently marking its second anniversary, Altman outlines OpenAIs achievements, ongoing challenges, and vision for the future of AI. The second birthday of ChatGPT was only a little over a month ago, and now we have transitioned into the next paradigm of models that can do complex reasoning, Altman reflects.
The DeepSeek R1 has arrived, and it’s not just another AI modelit’s a significant leap in AI capabilities, trained upon the previously released DeepSeek-V3-Base variant. With the full-fledged release of DeepSeek R1, it now stands on par with OpenAI o1 in both performance and flexibility. What makes it even more compelling is its open weight […] The post DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?
Companies lose millions to unproductive meetings with executives spending up to 23 hours per week in conversations that often lead to more questions than answers. Still, the real cost isn't just time—it's the valuable insights, decisions, and action items that slip through the cracks between meetings. Meeting intelligence platforms aim to change this paradigm.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves , those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste.
Power Bot 'Em Researchers have found that ChatGPT "power users," or those who use it the most and at the longest durations, are becoming dependent upon or even addicted to the chatbot. In a new joint study , researchers with OpenAI and the MIT Media Lab found that this small subset of ChatGPT users engaged in more "problematic use," defined in the paper as "indicators of addiction. including preoccupation, withdrawal symptoms, loss of control, and mood modification.
Power Bot 'Em Researchers have found that ChatGPT "power users," or those who use it the most and at the longest durations, are becoming dependent upon or even addicted to the chatbot. In a new joint study , researchers with OpenAI and the MIT Media Lab found that this small subset of ChatGPT users engaged in more "problematic use," defined in the paper as "indicators of addiction. including preoccupation, withdrawal symptoms, loss of control, and mood modification.
In the News In AI copyright case, Zuckerberg turns to YouTube for his defense Meta CEO Mark Zuckerberg appears to have used YouTubes battle to remove pirated content to defend his own companys use of a data set containing copyrighted e-books, reveals newly released snippets of a deposition he gave late last year. techcrunch.com Sponsor Discover what the most trusted industry experts are reading Use the Power of AI to access a forward-thinking audience of professional decision makers !
Imagine a research partner that has read every scientific paper you have, tirelessly brainstorming new experiments around the clock. Google is trying to turn this vision into reality with a new AI system designed to act as a co-scientist. This AI-powered assistant can sift through vast libraries of research, propose fresh hypotheses, and even outline experiment plans all in collaboration with human researchers.
For years, Artificial Intelligence (AI) has made impressive developments, but it has always had a fundamental limitation in its inability to process different types of data the way humans do. Most AI models are unimodal, meaning they specialize in just one format like text, images, video, or audio. While adequate for specific tasks, this approach makes AI rigid, preventing it from connecting the dots across multiple data types and truly understanding context.
The race for AI video training has taken an unexpected turn. Major tech companies are now paying content creators thousands of dollars for their unused footage, marking a significant shift in how artificial intelligence companies acquire training data. In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. Built upon the foundations of the companys Gemini 2.0 models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices. This release comes hot on the heels of Gemmas first birthday, an anniversary underscored by impressive adoption metrics.
Much has been said about AIs potential to accelerate the quest for new treatments and cures, but its potential to improve care in facilities worldwide cannot be overlooked As we look towards the future, it's clear that the way we think of healthcare facilities will evolve far beyond what we know them to be today. Hospitals will transcend being simply buildings or places of healing, into dynamic environments that reflect the complex rhythms of human behavior and social interactions.
The newly-formed Autoscience Institute has unveiled Carl, the first AI system crafting academic research papers to pass a rigorous double-blind peer-review process. Carls research papers were accepted in the Tiny Papers track at the International Conference on Learning Representations (ICLR). Critically, these submissions were generated with minimal human involvement, heralding a new era for AI-driven scientific discovery.
Plaintiffs in the case of Kadrey et al. vs. Meta have filed a motion alleging the firm knowingly used copyrighted works in the development of its AI models. The plaintiffs, which include author Richard Kadrey, filed their Reply in Support of Plaintiffs Motion for Leave to File Third Amended Consolidated Complaint in the United States District Court in the Northern District of California.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
The advent of more powerful processors in the early 2000s started the computing revolution that led to what we now call the cloud. With single hardware instances able to run dozens, if not hundreds of virtual machines concurrently, businesses could offer their users multiple services and applications that would otherwise have been financially impractical, if not impossible.
Daniel Cane is co-CEO and cofounder of South Florida-based ModMed , a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes. Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment.
The discovery of new materials is key to solving some of humanity’s biggest challenges. However, as highlighted by Microsoft , traditional methods of discovering new materials can feel like finding a needle in a haystack. Historically, finding new materials relied on laborious and costly trial-and-error experiments. More recently, computational screening of vast materials databases helped to speed up the process, but it remained a time-intensive process.
Microsoft has officially released its latest language model, Phi-4, on the AI repository Hugging Face. The model is available under the permissive MIT licence, allowing broad usage for developers, researchers, and businesses alikea significant step for democratising AI innovations. Unveiled in December 2024, Phi-4 has been drawing attention for its cutting-edge capabilities despite its compact size.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
As we move into 2025, the cybersecurity landscape is entering a critical period of transformation. The advancements in artificial intelligence that have driven innovation and progress for the last several years, are now poised to become a double-edged sword. As security professionals, these tools promise new capabilities for defense and resilience. On the other hand, they are being co-opted more and more by malicious actors , leading to a rapid escalation in the sophistication and scale of cyber
Moores Law was the gold standard for predicting technological progress for years. Introduced by Gordon Moore, co-founder of Intel, in 1965, it stated that the number of transistors on a chip would double every two years, making computers faster, smaller, and cheaper over time. This steady advancement fuelled everything from personal computers and smartphones to the rise of the internet.
Digital interactions have become a major part of our life; according to the latest statistics , there were over 5.52 billion internet users as of October 2024, with 67.5% being social media users. But despite the prominence of the digital space in today’s world, most of the interactions are still subpar when it comes to the aspect of personalisation.
LOral will leverage IBM’s generative AI (GenAI) technology to create innovative and sustainable cosmetic products. The partnership will involve developing a bespoke AI foundation model to supercharge LOrals Research & Innovation (R&I) teams in creating eco-friendly formulations using renewable raw materials. In turn, this initiative is designed to reduce both energy and material waste.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Have you ever felt like youre drowning in customer inquiries and repetitive tasks, or just wish you had an assistant to handle conversations for you? Imagine having a chatbot that doesnt just respond but actually understands, learns, and improves over time, without you needing to be a coding expert. Thats where Botpress comes in. Botpress isnt just another chatbot builder.
Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now being used in research, decision-making, and complex problem-solving. A key factor in this shift is the growing ability of LLMs to think more systematically by breaking down problems, evaluating multiple possibilities, and refining their responses dynamically.
As AI becomes increasingly integral to business operations, new safety concerns and security threats emerge at an unprecedented paceoutstripping the capabilities of traditional cybersecurity solutions. The stakes are high with potentially significant repercussions. According to Ciscos 2024 AI Readiness Index , only 29% of surveyed organisations feel fully equipped to detect and prevent unauthorised tampering with AI technologies.
US lawmakers are pushing for a DeepSeek ban after security researchers found the app transferring user data to a banned state-owned company. DeepSeek, practically unknown just weeks ago, took the tech world by stormgaining global acclaim for its cutting-edge performance while sparking debates reminiscent of the TikTok saga. Its rise has been fuelled in part by its business model: unlike many of its American counterparts, including OpenAI and Google, DeepSeek offered its advanced powers for free.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
South Korea is preparing to host the worlds largest AI data centre by capacity, setting its sights on global technological leadership. The monumental project, led by Fir Hills a division of California-based Stock Farm Road, Inc. (SFR) is expected to commence construction in winter 2025 and aims to generate an initial annual revenue of $3.5 billion.
The government is urged to mandate stricter reporting for data centres to mitigate environmental risks associated with the AI sprint. A report published today by the National Engineering Policy Centre (NEPC) highlights the urgent need for data centres to adopt greener practices, particularly as the government’s AI Opportunities Action Plan gains traction.
AI and Big Data Expo Global is under four weeks away. Set to take place at the Olympia, London, on 5-6 February 2025, this must-attend artificial intelligence and big data event is for professionals from all industries looking to learn more about the newest technology solutions. Key highlights: Headline speakers: The event boasts a stellar line-up of more than 150 speakers from leading global organisations including NVIDIA, LinkedIn, Unilever, Sainsburys, Co-op, Salesforce, BT Group, Meta, Lloyd
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