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Articles published by Jonathan Kemper
AMD CEO Dr. Lisa Su plans to visit South Korea next month for face-to-face meetings with Samsung Electronics executives to discuss AI chip and technology collaboration. The key focus is securing Samsung as a supplier for AMD's HBM4 high-bandwidth memory. This follows a March memorandum of understanding regarding AI storage and computing technology. If the visit results in formal orders, Samsung will officially join AMD's supply chain for next-generation AI accelerator memory, leveraging South Korea's advanced semiconductor production capacity.
AMD CEO Dr. Lisa Su plans to visit South Korea next month for face-to-face meetings with Samsung Electronics executives to discuss AI chip and technology collaboration. The key focus is securing Samsung as a supplier for AMD's HBM4 high-bandwidth memory. This follows a March memorandum of understanding regarding AI storage and computing technology. If the visit results in formal orders, Samsung will officially join AMD's supply chain for next-generation AI accelerator memory, leveraging South Korea's advanced semiconductor production capacity.
OpenAI employs hundreds of contract workers via Mercor to review anonymized ChatGPT conversations for model improvement, with reviewers earning over $50 hourly. This practice, aimed at reducing issues like excessive flattery, raises privacy concerns as users may not realize their data is manually reviewed despite privacy filters. OpenAI defaults to using chat data for training but offers an opt-out setting. Similar human review mechanisms exist at Anthropic and Google, highlighting the ongoing tension between AI training efficiency and user data privacy.
OpenAI employs hundreds of contract workers via Mercor to review anonymized ChatGPT conversations for model improvement, with reviewers earning over $50 hourly. This practice, aimed at reducing issues like excessive flattery, raises privacy concerns as users may not realize their data is manually reviewed despite privacy filters. OpenAI defaults to using chat data for training but offers an opt-out setting. Similar human review mechanisms exist at Anthropic and Google, highlighting the ongoing tension between AI training efficiency and user data privacy.
Ant Group and CICC launched Ling-3.0-flash-Fin, the first financial-enhanced large model under Ant Bailing. It features improved research and investment capabilities through specialized financial data training. The model excels in information retrieval and general tasks, validated by rigorous benchmarks. To boost the industry ecosystem, the joint financial search benchmark FinFIRST will be open-sourced. Additionally, the model offers one month of free API calls on OpenRouter, with weights scheduled for open-sourcing next week to support developers and financial institutions.
Ant Group and CICC launched Ling-3.0-flash-Fin, the first financial-enhanced large model under Ant Bailing. It features improved research and investment capabilities through specialized financial data training. The model excels in information retrieval and general tasks, validated by rigorous benchmarks. To boost the industry ecosystem, the joint financial search benchmark FinFIRST will be open-sourced. Additionally, the model offers one month of free API calls on OpenRouter, with weights scheduled for open-sourcing next week to support developers and financial institutions.
Moonshot AI's Kimi is dismantling its VIE structure to pursue a Hong Kong IPO. The Chinese large model firm recently raised $2 billion, reaching a $20 billion valuation, with $3.9 billion secured in the past six months. This move signals a shift among top AI startups from technology development towards capital market commercialization.
Moonshot AI's Kimi is dismantling its VIE structure to pursue a Hong Kong IPO. The Chinese large model firm recently raised $2 billion, reaching a $20 billion valuation, with $3.9 billion secured in the past six months. This move signals a shift among top AI startups from technology development towards capital market commercialization.
OpenAI CEO Sam Altman outlined five principles for AI development to ensure the technology benefits all humanity and prevents power concentration. The principles are democratization empowerment inclusive prosperity resilience and adaptability. Altman emphasized iterative deployment and learning from past approaches like GPT-2 to balance innovation with societal impact.
OpenAI CEO Sam Altman outlined five principles for AI development to ensure the technology benefits all humanity and prevents power concentration. The principles are democratization empowerment inclusive prosperity resilience and adaptability. Altman emphasized iterative deployment and learning from past approaches like GPT-2 to balance innovation with societal impact.
Anthropic's AI store makes money while debating eternal transcendence
Anthropic's AI store makes money while debating eternal transcendence
OpenAI updates Codex model, adds trusted access program for cyber defense
OpenAI updates Codex model, adds trusted access program for cyber defense
European AI startup Lovable has raised $330 million in a Series B financing round, bringing its valuation to $6.6 billion. Google led the round, with additional backing from Nvidia, HubSpot, and Deutsche Telekom.Lovable, which allows users to build web applications through simple text prompts, has quickly become one of the fastest-growing startups in the world. The company says its Sweden-based team of 120 employees hit $100 million in annual recurring revenue just eight months after reaching its first million. This follows a massive summer for the company, where it secured one of the largest European Series A rounds on record - raising $200 million at a $1.8 billion valuation.
European AI startup Lovable has raised $330 million in a Series B financing round, bringing its valuation to $6.6 billion. Google led the round, with additional backing from Nvidia, HubSpot, and Deutsche Telekom.Lovable, which allows users to build web applications through simple text prompts, has quickly become one of the fastest-growing startups in the world. The company says its Sweden-based team of 120 employees hit $100 million in annual recurring revenue just eight months after reaching its first million. This follows a massive summer for the company, where it secured one of the largest European Series A rounds on record - raising $200 million at a $1.8 billion valuation.
Mistral AI has released Mistral OCR 3, an updated version of its document analysis model. The system goes beyond basic extraction—it can interpret cursive handwriting, dense form layouts, and complex table structures, including linked cells. According to the company, this third version outperforms its predecessor in 74 percent of cases, showing particular strength in handling handwriting, scanned forms, and complex tables. OCR 3 also stacks up well against Deepseek's specialized character recognition model.
Mistral AI has released Mistral OCR 3, an updated version of its document analysis model. The system goes beyond basic extraction—it can interpret cursive handwriting, dense form layouts, and complex table structures, including linked cells. According to the company, this third version outperforms its predecessor in 74 percent of cases, showing particular strength in handling handwriting, scanned forms, and complex tables. OCR 3 also stacks up well against Deepseek's specialized character recognition model.
Google is linking its NotebookLM research tool directly to the Gemini chatbot. This integration lets users select specific notebooks as context for their Gemini queries, effectively expanding the chatbot's knowledge base beyond its initial training data and standard web results. While NotebookLM already includes a built-in chat function powered by a Gemini model, it remains quite limited—it doesn't even save chat histories. The new feature addresses this by allowing users to leverage multiple notebooks simultaneously within the main Gemini interface. It also supports integration with "Gems," the personalized versions of the chatbot. The rollout appears to be gradual, starting with browser users, though app support will likely follow soon.
Google is linking its NotebookLM research tool directly to the Gemini chatbot. This integration lets users select specific notebooks as context for their Gemini queries, effectively expanding the chatbot's knowledge base beyond its initial training data and standard web results. While NotebookLM already includes a built-in chat function powered by a Gemini model, it remains quite limited—it doesn't even save chat histories. The new feature addresses this by allowing users to leverage multiple notebooks simultaneously within the main Gemini interface. It also supports integration with "Gems," the personalized versions of the chatbot. The rollout appears to be gradual, starting with browser users, though app support will likely follow soon.
