Last updated: December 4, 2025
Updated constantly.
✨ Read November Archive of major AI events
The main news for December smoothly carries over from November and remains in the spotlight: Anthropic has released a new model, Claude Opus 4.5, which outperformed all human job candidates in the company's internal engineering tests, setting a new record in AI capabilities.
November was very productive for the AI market. Many models were released, such as Gemini 3, Nano Banana Pro, Flux 2, Suno, along with major updates on various platforms and significant improvements. All of this points to the active development of technology and the AI market. We will continue to monitor the progress and publish the latest and most relevant news from the world of AI on this page.
AI news, Major Product Launches & Model Releases
The New Battle Over Compute Infrastructure: Who Owns The Future Of AI?
As AI models like OpenAI's GPT-5, Google's Gemini, and xAI's Grok grow more complex, they're placing extraordinary pressure on existing compute infrastructure. This has sparked interest in distributed networks that can supplement traditional data center capacity, creating a new battleground for AI supremacy.
The situation mirrors the early industrial age when bold ideas needed steel, electricity, and reliable transport networks to become reality. Today's equivalent foundation is the ability to train and run advanced models at meaningful scale, making compute infrastructure the new critical bottleneck in AI development.
My Take: While everyone's fighting over who has the smartest AI model, the real war is happening in the server farms. It's like having the world's fastest race car but no race track - all the fancy algorithms mean nothing without the compute power to run them at scale.
When: December 3, 2025
Source: forbes.com
Joint Modelling of Brain and Behaviour Dynamics with Artificial Intelligence
New research published in Nature explores how artificial intelligence can be used to jointly model brain dynamics and behavioral patterns. The study references advanced AI models including GPT-4 and discusses applications like AmadeusGPT for interactive animal behavioral analysis.
The research represents a significant step forward in computational neuroscience, showing how modern AI techniques can help scientists better understand the complex relationships between neural activity and observable behaviors across different species.
My Take: Scientists are basically teaching AI to be mind readers - but for lab rats and monkeys. It's fascinating that we're using artificial intelligence to decode natural intelligence, like using a computer to understand how computers might work if they were made of meat.
When: December 3, 2025
Source: nature.com
Data, Metrics Once Unattainable Now Possible With AI
Marketing analytics company Jellyfish has introduced a groundbreaking 'Share of Model' tool that uses AI models like Gemini, ChatGPT, Llama, and Claude to automatically optimize advertising campaigns. The tool analyzes how AI models understand and discuss brands, creating a new data layer for ad optimization.
This represents the first use of brand perception from AI models and assistants to automatically optimize ads, moving beyond traditional performance history and creative assets to leverage how AI interprets brand messaging and customer interactions.
My Take: So now we're not just optimizing ads for humans, but for how AI thinks about our brands. It's like focus groups, but the participants are robots who've read the entire internet. The meta level here is wild - AI helping us advertise better to humans who increasingly interact with AI.
When: December 1, 2025
Source: mediapost.com
Google's Plan to Win the AI Race Is All About Getting a Little Too Personal
Google's strategy to dominate AI centers on leveraging its vast ecosystem of personal data through Gemini integration across Gmail, Calendar, Drive, Maps, YouTube, and more. The company has also launched a new Chrome browser with deep Gemini integration, including agentic AI that can navigate the web autonomously.
This approach gives Google a significant advantage over competitors like OpenAI, as Gemini can access intimate details about users' communications, schedules, locations, and digital behaviors to provide highly personalized AI assistance across all Google services.
My Take: Google's basically saying 'we'll make the smartest AI by knowing everything about you.' It's the ultimate trade-off - incredibly useful AI that knows your email, your calendar, your photos, and probably what you had for breakfast. Privacy advocates are having nightmares, but users will probably love the convenience.
When: December 2, 2025
Source: gizmodo.com
Could Artificial General Intelligence Become a Reality?
New research from UC San Diego found that OpenAI's GPT-4.5 model passed the Turing test better than humans 73% of the time, though researchers concluded this doesn't prove human-level intelligence was achieved. The study suggests these results show AI's potential to substitute for humans in limited-duration interactions.
Experts note that while current AI models still struggle with long-horizon planning and causal reasoning, there has been exciting progress toward AGI. Large language models can now reason, code, use tools, and even perform on par with gold medalists in international mathematics competitions, though the timing for true AGI remains uncertain.
My Take: We're in this weird zone where AI can beat math olympians but still can't figure out that you probably don't want to put glue on your pizza. The Turing test results are impressive, but passing a conversation test and actually thinking are very different things - it's like the difference between a really good actor and actually being the character.
When: December 2, 2025
Source: edtechmagazine.com
Anthropic Studied Its Own Engineers to See How AI Is Changing Work
Anthropic conducted an internal study of its own engineers to understand how AI tools like Claude Code are impacting work patterns and productivity. Employees reported feeling more productive with wider skill sets, but also expressed concerns about the technology's effects on collaboration and mentorship.
The study revealed mixed feelings among workers, with some worrying about AI's impact on job relevance and team dynamics. This research provides valuable insights into how AI adoption is reshaping professional environments, particularly in technical fields where AI coding assistants are becoming standard tools.
My Take: It's pretty meta that the company making AI studied how their own AI affects their workers. The results sound like every workplace technology adoption ever - 'This makes me more productive, but I'm worried it might make me obsolete.' At least they're asking the hard questions before rolling it out to everyone else.
When: December 3, 2025
Source: businessinsider.com
Key Questions CISOs Must Ask Before Adopting AI-Enabled Cyber Solutions
Cybersecurity leaders are grappling with critical decisions about AI integration, including whether to build proprietary large language models on-premises, in the cloud, or rely on third-party LLMs. The challenge extends to protecting sensitive information as everyday SaaS productivity tools increasingly incorporate AI into workflows.
The article highlights the growing complexity of AI security considerations, as organizations must balance the benefits of AI-enabled cyber solutions with the risks of exposing sensitive data through AI interactions and the potential vulnerabilities introduced by AI systems themselves.
My Take: CISOs are stuck in an impossible position - they need AI to defend against AI-powered attacks, but using AI means potentially exposing the very data they're trying to protect. It's like hiring a bodyguard who might be working for the other side. The questions they're asking aren't just technical, they're existential.
When: December 2, 2025
Source: csoonline.com
Inside Visa's Cyber Defense: CISO Blends AI and Human Intelligence for Threat Detection
Visa's CISO Subra Kumaraswamy revealed how the company uses AI and machine learning to process 22 billion data points and convert them into just hundreds of actionable security events for investigation. This approach allows Visa to find 'needles in the needle stack' by dramatically reducing noise while maintaining comprehensive threat detection.
The integration of AI with human expertise represents a practical approach to cybersecurity at scale, where automated systems handle the massive data processing while human analysts focus on investigating the most relevant threats identified by AI algorithms.
My Take: 22 billion data points down to hundreds of events - that's like turning a library into a tweet, but somehow keeping all the important parts. Visa figured out that the real power isn't replacing humans with AI, it's using AI to make humans incredibly efficient at what they're already good at.
When: December 3, 2025
Source: csoonline.com
New Research Shows LLMs Excel at Cell-Type Annotation in Biomedicine
Multiple large language models have been developed specifically for biomedical applications, including scBERT, tGPT, CellLM, and Geneformer for cell-type annotation. Some models like scGPT and scFoundation handle multiple biological tasks beyond just annotation.
These specialized LLMs use techniques like rank-based approaches and metric learning frameworks to address challenges like batch effect correction in biological data. The models demonstrate how AI is becoming increasingly specialized for scientific applications, moving beyond general-purpose chatbots into domain-specific expertise.
My Take: While everyone's arguing about ChatGPT vs Gemini for writing emails, scientists are quietly building AI that can actually understand biology at the cellular level. These specialized models could accelerate drug discovery and medical research in ways that general AI never could.
When: December 1, 2025
Source: nature.com
ChatGPT Celebrates Third Birthday as Banking Industry Transforms
Three years after ChatGPT's launch on November 30, 2022, the AI model that reached 1 million users in five days and 100 million in two months has fundamentally transformed the banking and financial services industry. The release triggered an AI revolution that pushed Google to accelerate Gemini development, revitalized Microsoft's market position, and sparked massive venture capital investments.
The impact has been seismic across financial institutions, with global spending on AI data centers expected to exceed $1.4 trillion between 2024 and 2027. Led by CEO Sam Altman, OpenAI ushered in what many consider a new industrial revolution, with AI now adopted by many of the world's biggest companies and financial institutions.
My Take: It's wild to think that just three years ago, most people had never heard of ChatGPT, and now it's reshaping entire industries. The fastest consumer product adoption in history really did change everything - from how banks operate to how we think about work itself.
When: December 3, 2025
Source: finextra.com
French AI Startup Mistral Releases Multilingual Large Language Model 3
French AI company Mistral AI has announced Mistral Large 3, a new general-purpose large language model designed to compete with ChatGPT and Gemini. The company, founded by former Google DeepMind and Meta researchers, is focusing on bringing high-end AI capabilities to more people regardless of location, internet reliability, or language barriers.
Mistral also released smaller models designed to run on devices like laptops, smartphones, cars, and robots, which can be customized for specific tasks. The company offers a chatbot called Le Chat and is better known in Europe than rivals like OpenAI and Anthropic in the US market.
My Take: Mistral is quietly building a European alternative to the US AI giants, and their focus on multilingual capabilities and on-device models could be their secret weapon. While everyone's watching the OpenAI vs Google drama, Mistral might be positioning itself perfectly for the next phase of AI adoption.
When: December 3, 2025
Source: cnet.com
Study Reveals Using AI for Information Could Reduce Human Knowledge Retention
New research suggests that relying on large language models like ChatGPT to find information might diminish people's ability to retain and internalize knowledge. The study, conducted by researchers studying the psychology of new technology, found that the effortless nature of AI-generated responses may make learning too passive, potentially reducing deep understanding.
Researchers tested solutions including specialized GPT models that provide real-time web links alongside synthesized responses to make AI learning more active. The study emphasizes that people need to become smarter, more strategic users of LLMs, understanding when they're beneficial versus harmful to learning goals rather than avoiding them entirely.
My Take: This is the 'Google effect' on steroids - just like we stopped memorizing phone numbers when smartphones arrived, AI might be making us intellectually lazy. The irony is that the tool designed to make us smarter might actually be making us more dependent and less knowledgeable.
When: December 3, 2025
Source: sciencealert.com
Manufacturing Startup Neurologik Launches 'AI Workforce' to Address Talent Shortage
Neurologik has launched what it calls an 'AI Workforce' specifically designed to solve manufacturing's talent shortage crisis. Unlike generic Large Language Models that struggle with industrial precision, Neurologik's proprietary architecture is built for the physical world, integrating complex product logic, safety standards, and historical data.
The platform automates high-stakes workflows such as product configuration, technical validation, and solution design that previously required decades of human experience. This addresses the challenge that while generic LLMs are probabilistic and predict likely responses, manufacturing requires the precision and reliability that comes from expert knowledge and rules-based systems.
My Take: Finally, someone's building AI for the real world instead of just chatbots. Manufacturing has been crying out for solutions to replace retiring experts, and purpose-built AI that understands safety standards and physical constraints could be a game-changer for industrial automation.
When: December 3, 2025
Source: aithority.com
Start-ups Aim to Revolutionize Bug Detection for Vibe Coders
A new wave of startups is targeting the bug detection market specifically for 'vibe coders' - developers who prioritize workflow aesthetics and user experience. These companies are developing AI-powered tools that integrate seamlessly into modern development environments.
The trend reflects the growing importance of developer experience in coding tools, with startups recognizing that effective bug detection isn't just about finding errors, but presenting them in ways that align with how modern developers work and think.
My Take: Finally, someone's addressing the elephant in the room - developers care about how their tools look and feel, not just functionality. If your bug detector has the UI of a 1990s enterprise app, good luck getting adoption.
When: December 3, 2025
Source: startupecosystem.ca
Virgin Australia and Wesfarmers Strike Major OpenAI Partnerships
Virgin Australia and Australian conglomerate Wesfarmers have announced significant partnerships with OpenAI to integrate AI capabilities across their operations. Virgin Australia plans to use AI for customer service, flight operations, and personalized travel experiences, while Wesfarmers will deploy AI across its retail and industrial divisions.
Wesfarmers specifically highlighted plans to use AI for demand forecasting, product design, customer service, marketing effectiveness, and conversational commerce. The deals represent major enterprise adoption of OpenAI's technology in the Australian market, demonstrating the global reach of AI integration beyond tech companies.
My Take: While OpenAI fights 'code red' battles with Google, they're quietly locking in major enterprise deals. Smart move - consumer attention is fickle, but enterprise contracts with airlines and retail giants provide steady revenue streams.
When: December 3, 2025
Source: itnews.com.au
Google Stock Surges 66% as TPU Chips Challenge Nvidia's AI Dominance
Google's stock has jumped 66% as analysts predict the company's TPU chips could capture 25% of the AI chip market by 2030, worth $440 billion. The chips offer lower cost-per-compute and strong performance, attracting customers like Anthropic and Meta beyond Google's own services.
My Take: This represents a significant shift in the AI infrastructure landscape. While everyone's been focused on the AI model wars between OpenAI and Google, the real money might be in the chips powering these systems. Google's vertical integration strategy - controlling both the AI models and the hardware - could give them a massive competitive advantage.
When: December 3, 2025
Source: forbes.com
OpenAI Reports 6% User Drop in Single Week Following Google Gemini 3 Launch
OpenAI reportedly lost 6% of its user base in just one week after Google released Gemini 3, prompting the company's 'code red' response. The user exodus highlights how quickly market dynamics can shift in the competitive AI landscape.
My Take: A 6% user drop in a week is massive for a platform with 800 million weekly users - that's roughly 48 million people switching away. This shows users aren't locked into AI platforms like they are with social media. Quality and performance matter more than brand loyalty in AI, making this space incredibly volatile.
When: December 3, 2025
Source: mashable.com
Anthropic Makes First Acquisition with Bun Purchase to Boost Claude Code
AI startup Anthropic has acquired Bun, the engine powering its fast-growing Claude Code programming agent, in the company's first acquisition. Claude Code has reportedly generated $1 billion in revenue just six months after its public debut in May.
My Take: This acquisition signals Anthropic's commitment to the developer market and shows how quickly AI coding tools can generate massive revenue. With $1 billion in just six months, Claude Code is proving that specialized AI agents can be incredibly lucrative - no wonder Microsoft and Nvidia are pouring $15 billion into the company.
When: December 3, 2025
Source: adweek.com
Google's Gemini Adds 200 Million Users in Just 3 Months
Google's AI user base is experiencing explosive growth, with Gemini adding 200 million users in three months. The rapid expansion is fueled by popular tools like the Nano Banana image model and the highly-praised Gemini 3 model that outperformed competitors on industry benchmarks.
My Take: These numbers show Google is successfully leveraging its massive platform advantage to catch up in the AI race. While OpenAI had the early lead, Google's integration across its ecosystem and superior latest model are clearly resonating with users - explaining why Sam Altman felt compelled to declare 'code red.'
When: December 3, 2025
Source: arstechnica.com
OpenAI Delays Shopping, Health, and Ad Features to Focus on Core ChatGPT
Following Sam Altman's 'code red' memo, OpenAI is pushing back planned initiatives including advertising integration, AI agents for health and shopping, and a personal assistant feature called Pulse. The company is refocusing entirely on improving ChatGPT's core capabilities.
My Take: This strategic pivot reveals just how seriously OpenAI views the competitive threat from Google and Anthropic. By abandoning potentially lucrative revenue streams like advertising to focus on product quality, OpenAI is essentially admitting they can't afford to diversify right now - they need to win the core AI battle first.
When: December 3, 2025
Source: nypost.com
OpenAI Teases New 'Garlic' AI Model to Counter Google's Gemini 3
As part of its competitive response, OpenAI is reportedly developing a new AI model codenamed 'Garlic' that the company claims tested ahead of Google's flagship Gemini 3 model. The company is also prioritizing its Imagegen image generation model for ChatGPT users.
My Take: The fact that OpenAI felt compelled to leak performance claims about an unreleased model shows how much pressure they're under. This kind of preemptive marketing is unusual for the typically secretive company, suggesting Google's Gemini 3 success has genuinely rattled them. The real test will be whether 'Garlic' can deliver on these bold promises.
When: December 3, 2025
Source: businessinsider.com
Global AI Arms Race Intensifies as New Players Enter the Field
French startup Mistral unveiled new models while Amazon rushed out its latest AI chip to compete with Nvidia, showing the AI competition has expanded far beyond the OpenAI-Google rivalry.
My Take: The AI landscape is fragmenting in fascinating ways. While OpenAI and Google duke it out, companies like Mistral are carving out European alternatives, and Amazon is building the infrastructure layer. We're seeing the birth of an entire AI ecosystem, not just a two-horse race.
When: December 3, 2025
Source: cnbc.com
AI Shopping Revolution Heats Up This Holiday Season
Amazon, Google, and OpenAI are racing to create seamless AI-powered shopping experiences that take consumers from browsing to buying without leaving their platforms, potentially disrupting traditional retail.
My Take: This is where AI gets really interesting for consumers. Imagine an AI that knows your style, budget, and needs so well it can handle your entire holiday shopping list. The company that cracks this first could fundamentally change how we buy everything.
When: December 3, 2025
Source: latimes.com
AI Companies Launch Nonprofit Initiatives for Giving Tuesday
Anthropic joined Google and OpenAI in offering discounted AI services to nonprofits, partnering with organizations like Robin Hood to understand how AI can maximize social impact.
My Take: Smart PR move during a heated competitive period. While OpenAI scrambles with 'code red' and IPO rumors swirl, showing social responsibility helps build public trust. Plus, nonprofits are great testing grounds for AI applications without the pressure of enterprise sales.
When: December 3, 2025
Source: nbcnews.com
Anthropic Eyes One of History's Largest IPOs in Race Against OpenAI
The AI company behind Claude has engaged top-tier law firm Wilson Sonsini and major banks for a potential 2026 public listing, with recent valuations reaching $350 billion after massive investments from Microsoft and Nvidia.
My Take: Anthropic is making a bold power play while OpenAI is distracted by competitive pressure. Going public first could give them a huge advantage in the AI arms race - public markets mean more capital, more credibility, and the ability to attract top talent with stock options.
When: December 3, 2025
Source: cnbc.com
Massive Claude AI outage, users are unable to log into their accounts.
A widespread outage is currently affecting Claude AI, with numerous users reporting that they are unable to access their accounts or log into the service. The platform appears to be experiencing major technical difficulties, leading to frustration among those trying to use its features.
According to updates provided on the official website, the issues have been acknowledged and are being actively monitored. The development team has confirmed that they are aware of the situation and are diligently working to identify the root cause and implement a solution as quickly as possible.
Investigating - We are currently investigating this issue.
Dec 02, 2025 - 16:34 UTC
When: December 2, 2025
Source: status.claude.com
My take: The phrase "Impossible? Possible." on the main login page looks especially funny. 🤣 That moment when all work in the office came to a halt.
UPD. The Claude team resolved the issue fairly quickly and restored everything (10-20 min), but in moments like that – your heart sometimes skips a beat. Did all the data and projects you were working on in Claude disappear? I hope this doesn't happen often. Everything is working steadily now.
UN Warns: AI Could Widen Global Inequality Between Rich and Poor Nations
A new report from the UN Development Programme titled "The Next Great Divergence" warns that AI could reverse decades of economic progress for developing countries. The report, presented in Geneva, argues that wealthy nations are racing ahead on AI infrastructure, talent, and data, while many developing countries lack basic digital capacity.
As AI becomes integrated into everything from finance to healthcare, countries without access to these tools risk being left further behind. The report calls for international cooperation and investment to prevent a new "AI divide."
My Take: This is the uncomfortable truth nobody in Silicon Valley wants to talk about. While we're debating whether GPT-6 will be "too smart," half the world can't even get reliable internet. AI was supposed to democratize access to knowledge, but right now it's looking more like another tool that makes the rich richer. Time for some serious conversations about AI equity.
When: December 2, 2025
Source: techstartups.com
OpenAI Declares "Code Red" as Google Gemini Closes the Gap
OpenAI CEO Sam Altman has declared an internal "code red" at the company, telling employees that all efforts must now focus on improving ChatGPT quality. The emergency pivot comes after Google's latest Gemini models showed they're catching up to — and in some benchmarks surpassing — OpenAI's offerings.
Altman's memo indicated that other product launches will be delayed as the company prioritizes personalization features, speed improvements, and reliability for its flagship chatbot. The announcement signals growing concern that OpenAI's first-mover advantage in consumer AI may be eroding.
My Take: When the company that started the AI revolution is hitting the panic button, you know the competition is real. Google went from "Bard who?" to "Gemini is scary good" in record time. This is actually great for users — nothing improves products faster than genuine fear of losing market share. Grab your popcorn, the AI wars are officially heating up.
When: December 2, 2025
Source: 9to5mac.com
Apple's AI Chief Steps Down as Company Scrambles to Catch Up with OpenAI and Google
Apple announced a major leadership shakeup in its AI division. John Giannandrea, who led Apple's machine learning efforts since 2018, is stepping down effective immediately and will retire in spring 2026. His replacement is Amar Subramanya, a veteran AI engineer who spent 16 years at Google (leading Gemini Assistant engineering) and most recently served as Corporate VP of AI at Microsoft.
The move comes after Apple Intelligence received lukewarm reviews and the company delayed its improved Siri assistant until 2026. Reports indicate Apple may now rely on Google's Gemini to power the next version of Siri — an ironic twist given the companies' long rivalry.
My Take: This is basically Apple admitting "we messed up" without actually saying it. Hiring the guy who built Gemini to fix Siri? That's like hiring your competitor's chef after your restaurant got one star. Smart move, but ouch for the ego. The real question is whether Subramanya can turn things around before users completely forget Apple was supposed to be an AI company too.
When: December 1, 2025
Source: techcrunch.com
Claude app for Desktop Mac & Windows.
Claude has now become even more convenient to use. It's probably not a native application, but nonetheless, it adds convenience for Mac users.
Claude for Mac
My Take: Yes, I don't rule out that beta apps or other desktop versions have been around for a while, but for some reason, I only received a notification today that Desktop can be downloaded. So if you didn’t know about this like me and actively use Claude - this will definitely be useful.
When: December 2 2025
Download Claude Desktop App
HSBC Integrates Gen-AI from French Startup Mistral to Accelerate Rollout
HSBC has signed a multi-year agreement with French AI startup Mistral to deploy generative AI across its operations, aiming to accelerate process automation and improve customer service.
HSBC — a massive British bank operating globally — has decided to integrate generative AI from Mistral to automate its processes and enhance customer experience. In principle, this is perfectly legitimate and even beneficial: AI can help process requests faster, analyze data, etc.
However, at the U.S. state level, it's a patchwork:
- Colorado (AI Act, effective June 2026) requires developers and deployers of "high-risk" AI systems to exercise "reasonable care" to prevent algorithmic discrimination in areas like finance. Data analysis isn't banned outright, but companies must test, document, and conduct impact assessments.
- Texas (TRAIGA, effective January 1, 2026) prohibits using AI to manipulate human behavior, incite self-harm or criminal activity, or intentionally discriminate against protected classes. Again, it's not a blanket ban on data analysis.
- California (CCPA/CPPA regulations, ADMT rules effective January 1, 2027) gives consumers the right to opt out of automated decision-making in significant decisions (e.g., credit approvals), and businesses must conduct risk assessments for privacy. There's also an opt-out from profiling — if AI builds a profile based on your data, you can say "no." But this is a consumer right, not a ban on banks using AI altogether.
My Take: Banking and AI are actively converging. Banks are implementing AI for automation (not necessarily for direct analysis of customer data), and in the U.S. this is fine as long as they follow the rules — test for bias, ensure privacy (e.g., CCPA compliance), and don't use AI for "shady stuff" like deepfakes.
Source: reuters.com
When: December 1 2025
Nvidia invests $2 billion in Synopsys to accelerate AI development
Nvidia has acquired a $2 billion stake in Synopsys, a company specializing in chip design software, to strengthen the AI ecosystem and speed up the creation of specialized processors. This is part of Nvidia’s wave of investments in AI infrastructure.
My Take: Nvidia’s $2 billion investment in Synopsys looks like a strategic move to strengthen its dominance in the AI ecosystem, especially in the race for more efficient chip design. Synopsys is a leader in electronic design automation (EDA) software, and the partnership will allow their tools to be integrated with Nvidia's technologies, such as CUDA for accelerating GPU computing, which analysts estimate could speed up the development of specialized AI processors by 2–3 times. What will this lead to? First, a “supercycle” of innovation in AI infrastructure: faster time-to-market for new chips for data centers, autonomous systems, and edge computing, giving Nvidia an advantage over competitors like AMD or Intel. Second, it could lower the barriers for startups and companies using AI by making chip design cheaper and more accessible. But there are risks: critics see this as “circular funding,” where Nvidia spends on partners to sustain demand for its GPUs, which could inflate a bubble in the AI market. Overall, this is a step toward making AI even more ubiquitous, but with the potential for Nvidia to monopolize the chip supply chain.
When: December 1 2025
Source: reuters.com
Insiders predict future of AI: smaller and cheaper agents
Experts within the industry anticipate a significant transition away from large-scale, resource-intensive models such as ChatGPT. Instead, the trend is moving toward the development and deployment of smaller, more narrowly focused AI agents. These specialized systems are expected to be more cost-effective and deliver greater efficiency when applied to specific, well-defined tasks. This evolving direction represents a notable change in how artificial intelligence technologies are created and utilized, with a new emphasis on targeted functionality and affordability. As a result, the overall strategy for AI development is likely to shift toward these streamlined models, marking a departure from the reliance on massive, general-purpose AI systems.
When: December 1 2025
Source: fortune.com
Fujitsu develops multi-AI agent collaboration technology
Fujitsu has unveiled a new technology designed to enable secure collaboration between multiple artificial intelligence (AI) agents that are developed and operated by different companies. This innovative approach allows the AI agents to work together effectively without the need to share or expose any of their confidential or proprietary data. The main goal is to maintain data privacy and security while still enabling cooperative problem-solving between organizations. The initial phase of testing this technology is scheduled to begin in January 2026, in partnership with Rohto Pharmaceutical. During this testing period, the companies aim to explore how the system can be used to improve and streamline supply chain operations, with a focus on enhancing overall efficiency and coordination across different business units.
When: 1 decebmer 2025
Source: global.fujitsu/
Claude Opus 4.5 - the most powerful AI model, breaking records and taking the tech world by storm
Claude Opus 4.5 by Anthropic, released on November 24, 2025, became one of the most talked-about news stories in the AI world during the last week of November — and the discussion continues into December, because it is not just a model update, but a true breakthrough that calls into question the future of software engineering, automation, and productivity. Read Claude Sonnet 4.5 vs Opus 4.5: The Complete Comparison.
Claude Opus 4.5 by Anthropic represents a significant technical breakthrough in the field of artificial intelligence, released on November 24, 2025, as this model was the first to surpass the 80% threshold on the SWE-bench Verified benchmark (80.9%), outperforming competitors such as Google Gemini 3 Pro (76.2%) and OpenAI GPT-5.1 (77.9%). This enables it to autonomously solve complex software engineering tasks such as fixing bugs in GitHub repositories, coordinating agents, and performing long-term planning. Internal company tests showed that Opus 4.5 outperforms human candidates for engineering positions in two-hour exams, achieving leadership in tool usage (98.1% on MCP Atlas) and computer interaction (66.3% on OSWorld), with the ability to self-improve over several iterations and integration with browsers, terminals, and office applications. Additionally, the model became three times cheaper to use ($5 per million input tokens), with improved safety against prompt injections and a new “effort” parameter to balance speed and depth of analysis, making it ideal for enterprise automation and potentially revolutionizing the labor market by shifting the focus from routine coding to creative tasks.
My take: I'm still exploring the Claude Opus 4.5 model, but I was extremely surprised by the quality of the landing page it created for my project. The design was truly on the level of Dribbble pages, and the code was clean and error-free, with all responsive breakpoints and functionality taken into account.
When: 24 november 2025
Source: anthropic.com
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