A.I. Tracker 🤖

AI in 2025: Companies will tailor AI to fit their needs, focus on responsible management, and investing in AI governance. Expect increased AI investments and M&A activity, along with debates on AI citizenship and generative media. Customization of AI and chatbots replacing search engines are set to be significant trends. Regulating AI and addressing cybersecurity threats will be key priorities.

After the tragic suicide of a 14-year-old boy who had inappropriate conversations with an AI chatbot, experts warn against sharing personal, sensitive, or illegal information with chatbots to protect privacy and security.

OpenAI CEO Sam Altman seeks suggestions to improve the company in 2025 after a turbulent year of legal challenges and a record-high funding round. Ideas include creating family accounts, improving video features, and enhancing the ChatGPT voice feature. OpenAI also aims to advance its text-to-video model, Sora.

Elon Musk's AI company xAI raises $6 billion in Series C financing, bringing total funding to $12 billion. Valued at $45 billion, xAI plans to launch innovative products and expand its generative AI capabilities to compete with rivals like OpenAI and Anthropic. Musk's focus on training models on X data has drawn controversy, with plans to use xAI technology across his various companies including Tesla and SpaceX. Investors like Kingdom Holdings and major tech companies are backing xAI's growth.

In 2024, the AI industry saw monumental advancements with the release of GPT-4o, voice interaction, nuclear-powered data centers, and the rise of AI agents and reasoning models. Innovations in image and video generation were also showcased, alongside the development of supercomputers for training powerful AI models.

In 2024, tech stocks tied to AI and crypto have seen massive growth. AppLovin's value soared past $110 billion, MicroStrategy's stock price jumped 467%, Palantir saw a 380% gain, Robinhood shares tripled, and Nvidia added $2.2 trillion in market cap.

In 2025, Samsung's Galaxy S25 Ultra and Apple's iPhone 16 Pro Max will compete as top-tier smartphones. Both feature powerful processors, advanced cameras, and sleek designs, with the Galaxy offering AI advantages and longer software support. The Galaxy may edge out the iPhone in certain areas, making it a top choice for Android enthusiasts.

OpenAI considered building a humanoid robot but abandoned the plan in 2021. Despite previous investment in robotics, catching up in the competitive field now seems challenging for the company.

New research shows that advanced AI chatbots can be easily tricked into generating inappropriate responses using simple text, audio, and image prompts, highlighting the challenge of aligning AI with human values.

Google's Gemini AI is being compared against competitor model Claude by contractors, raising questions about permission and accuracy in evaluating AI performance.

AI developers use evaluations to test the limits of their systems. New, challenging benchmarks are emerging to assess capabilities and potential risks. Third-party testing is crucial for safety.

Tech leaders like Sam Altman are investing in nuclear power companies like Oklo to fuel AI advancements amid growing energy demand. Concerns about public benefit, safety, and regulatory pushback remain as the industry aims to address climate change.

OpenAI's o3 model shows significant gains in AI scaling through test-time scaling, but at a high cost. It excels in benchmarks but raises questions about usage and cost effectiveness.

Elon Musk's AI company xAI raises $6 billion, reaching a total of $12 billion in funding. The company's flagship AI model, Grok, powers features on X and aims to compete with OpenAI and Anthropic in the generative AI race. Musk is facing legal challenges due to xAI's potential impact on Tesla.

European AI startups are thriving with 25% of VC funding going to them. Companies like Poolside and Wayve are flourishing, creating unicorns. Employment in AI sector has doubled, showcasing growth potential in Europe.

Coralogix acquires Aporia, a startup specializing in AI workload monitoring, to launch Coralogix AI research center. The integration aims to provide users with visibility, protection, and control over their AI systems within a unified monitoring platform.

Quantization, a technique to make AI models more efficient, has limits as shown by a study. Training large models and then quantizing them may not always be beneficial as smaller models could perform better in some cases. Lower precision formats can make models more robust, but models have finite capacity. Inference costs cannot be reduced indefinitely without impacting model quality. New architectures focusing on low precision training may be important in the future.

Motorola Solutions utilizes AI in their Vesta NXT software to streamline 911 emergency calls, consolidate data, and improve response times for call handlers. The software also assists in managing nonemergency calls, translating languages, and providing location details to first responders.

AI on smartphones, touted as revolutionary, still falls short of expectations. Major phone makers like Samsung, Google, and Apple offer AI features that are more gimmicky than genuinely useful. The promise of true AI smartphones remains unfulfilled.

The article discusses the phenomenon of people placing unwarranted trust in AI systems like ChatGPT, despite their lack of true understanding or reliability, as they seek quick and easy answers in a world filled with complexity and doubt.