Showing 1–20 of 22
Backed by a ₹1,058-crore government grant, the IIT Bombay-led consortium has built its first model from scratch, but experts warn a severe deep tech talent deficit could stall broader industry progress.
OpenAI has revealed its first custom-built AI inference processor, developed in collaboration with semiconductor giant Broadcom. Named Jalapeño, the chip was designed specifically to handle OpenAI’s inference workloads — the process of running pre-trained AI models in response to live user requests — and was developed with assistance from OpenAI’s own AI models. While still in testing, early results […]
This incident underscores the escalating AI arms race, highlighting the need for robust international regulations to safeguard proprietary technologies. The post Anthropic accuses Alibaba of using 25,000 fraudulent accounts to probe Claude AI models appeared first on Crypto Briefing.
Google’s Search history update stores media uploads from your interactions, like images used in reverse image searches, for training its AI models.
The price of bitcoin is down 40% over the last year and has spent the past week trading between $62,171 and $65,994. In one of our periodic AI prediction experiments, we asked leading artificial intelligence (AI) chatbots to scan the market, weigh the pressure points and forecast where bitcoin could be headed next. Bitcoin prices […]
The expanded partnership could significantly boost Qualcomm's hardware demand by enabling seamless AI model deployment across diverse environments. The post Qualcomm expands strategic relationship with Hugging Face to onboard AI models across edge and cloud appeared first on Crypto Briefing.
The lawsuit challenges US export-control powers on AI, potentially reshaping global AI access, decentralization trends, and market dynamics. The post Legal tech firm sues US government over foreign access limits to Anthropic AI models appeared first on Crypto Briefing.
Government pressure on Meta may shift AI development towards closed-source models, impacting competitive dynamics and sector valuations. The post Meta faces pressure from Trump administration to submit AI models for government safety reviews appeared first on Crypto Briefing.
The lawsuit highlights the tension between national security and innovation, potentially reshaping global AI market dynamics and regulatory landscapes. The post Legion sues US over export controls restricting access to Anthropic AI models appeared first on Crypto Briefing.
The US government decision to force Anthropic to close down its latest and greatest AI models, Fable 5 and Mythos 5, was only the next step in a burgeoning battle between AI providers and ignorant politicians. Anthropic was on top of the world. Its Mythos 5 LLM had everyone excited. (If you believe the hype, it was kind of scary, too.) Even Anthropic CEO Dario Amodei admitted — or boasted? — that Mythos would bring an “enormous increase in the amount of vulnerabilities, in the amount of breaches” to us all. But with that fear came the promise of more AI power than ever. Then, the roof caved in. On June 12, the US Commerce Department used its export-control powers to demand that Anthropic cut off access to its Fable 5 and Mythos 5 models for all foreign nationals, citing national security concerns and fears of jailbreaks. After figuring out it had no way to do that, Anthropic pulled both of its newest frontier AI models offline worldwide. Just what an AI company needs! All other Claud
How decentralized infrastructure is emerging as the missing layer of the AI economy. Billions are pouring into GPUs, data centers, and massive cloud infrastructure. Global AI infrastructure spending hit a whopping $318 billion in 2025. The result is that AI models are growing exponentially more powerful, and rightfully so as
Independent senator says Anthony Albanese is preparing to announce an AI copyright plan in July Independent David Pocock has challenged the Albanese government to rule out letting technology giants use Australian content to train AI models, as cabinet considers proposals to change copyright rules for the rapidly developing technology. Pocock used Senate question time on Tuesday to ask the government about intense lobbying from AI proprietors over possible new rules and regulations for Australian-made content – including suggestions Labor would create a new “carve out” or extend existing licensing arrangements. Continue reading...
The Five Eyes' warning highlights the urgent need for enhanced cyber defenses and regulatory measures to mitigate AI-driven threats. The post Five Eyes warns new AI models pose urgent cyber risk within months appeared first on Crypto Briefing.
Employees had previously raised concerns about the initiative, which involves collecting workers' keystroke data to train AI models.
An in-depth review of ChatLLM by Abacus AI, covering supported AI models, AI agents, coding tools, integrations, pricing, usage limits, and how it compares to ChatGPT.
Amid concerns about AI models’ cybersecurity capabilities, OpenAI revealed an improved version of GPT-5.5-Cyber and its “Patch the Plant” initiative to fix open source software bugs.
The partnership could revolutionize telecom operations by automating network management, enhancing efficiency, and driving AI infrastructure investment. The post Google Cloud partners with Nokia to bring Gemini AI models into telecom network management appeared first on Crypto Briefing.
US export controls on AI models may drive firms to relocate, impacting global AI innovation and prompting calls for AI sovereignty in Europe. The post Anthropic criticizes US export controls on AI models, urges firms to relocate appeared first on Crypto Briefing.
The report highlights AI models as a new supply chain risk, potentially reshaping tech competition and regulatory landscapes globally. The post Booz Allen warns of sleeper agent risks from Chinese AI models appeared first on Crypto Briefing.
Atlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each. According to Reisner, the sets have been downloaded thousands of times and, while it's impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but re … Read the full story at The Verge.
