Vivold Consulting

Anthropic says it’s released its ‘most intelligent’ AI model yet as competition ramps up

Key Insights

Anthropic unveils Claude 3.7 Sonnet, a hybrid AI model combining real-time responses with complex reasoning capabilities.

Stay Updated

Get the latest insights delivered to your inbox

As heavily funded startups and tech giants hustle to get any lead they can in artificial intelligence, Anthropic says it's developed the company's 'most intelligent' AI model yet. The Amazon-backed startup on Monday unveiled Claude 3.7 Sonnet. What makes it unique is its so-called hybrid model, which combines an ability to reason — or stopping to think about complex answers — with a traditional model that spits out answers in real time. Anthropic product chief Mike Krieger, who previously co-founded Instagram, said the hybrid approach is a way to simplify the chatbot process for customers. They can use multiple capabilities without needing to think about which is the best option. 'Models all have personalities, they're all a bit different,' Krieger told CNBC, adding that it's a 'lot' to have consumers choose the model, or how long they want it to reason. 'I would love for people, end users, not have to think about that very much at all.' Krieger said users should be able to turn the hybrid option on or off for simplicity. They can give it a time 'budget' based on what they're working on. Anthropic will also roll out a tool for coding using agents on Monday.

Related Articles

An AWS knowledge-graph deployment turned 6-month research cycles into 3 weeks - and the blueprint transfers far beyond pharma

An AWS GraphRAG deployment in pharmaceutical research cut R&D cycles by 87% - initial discovery that took six months now closes in three weeks - by fusing siloed internal databases and public literature into one queryable knowledge graph on Amazon Neptune Analytics and Bedrock (running Claude). Every answer comes with verifiable citations and a mapped reasoning path, which is exactly what regulated industries need for compliance. The architecture is modular and, crucially, transferable: any enterprise drowning in fragmented legacy data can copy this pattern.

SpaceX, Anthropic, and OpenAI listings will out-value every US VC-backed exit since 2000 - reshaping vendor economics for everyone

The new NVCA-Pitchbook Venture Monitor dropped a stunning claim: the pending OpenAI and Anthropic IPOs, together with SpaceX's listing, will generate more value than every US VC-backed exit since 2000 combined. SpaceX is already public at $1.77 trillion, and with both AI labs pushing toward trillion-dollar debuts, the trio should land north of $4 trillion - against roughly $70 billion in total US IPO proceeds last year. For anyone buying AI services, the labs' shift to public-market scrutiny will reshape pricing, transparency, and vendor stability.

A 14-person open-source team just became the default way 8.9M developers run local AI - and a lever for slashing inference bills

Ollama, the open-source tool that lets developers run open-weight AI models on their own machines in minutes, raised a $65M Series B led by Theory Ventures ($88M total), revealing it now serves 8.9 million developers monthly and sits inside 85% of the Fortune 500 - with just 14 employees. Founders Jeff Morgan and Michael Chiang previously built Docker Desktop, and they're repeating the play: abstract away the hardware pain, then monetise a cloud tier priced on GPU time rather than tokens. The backdrop is the industry's loudest cost debate: every company with heavy inference bills is under existential pressure to shift routine workloads to open models.