A new week, a new model drop. Introducing Claude Sonnet 4.6%. This is going to be Anthropic's workhorse.And it got a major quality bump from Sonnet 4.5%. It got better at coding, tool use, a gentic ability, and it now comes with a million token context window. And they even made it the default model on the free plan.This is incredible. So, the pricing remains the same as Sonnet 45, starting at $3 per million input tokens and $15 per million output tokens. And Sonnet 4.6% brings much improved coding skills, ...

RT Claude (@claudeai)This is Claude Sonnet 4.6: our most capable Sonnet model yet.It’s a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.It also features a 1M token context window in beta. https://t.co/TDId3XUSRs ...

All right, everybody. We're thrilled to have the one, the only Tata Nadella here, the third CEO of Microsoft for a uh impromptu fireside chat with David Saxs, Arzar of AI and crypto. Satia third, CEO of Microsoft, born in India.What an incredible story. came here right after college and uh you had a little round trip to pick up your wife in your book to to bring her here. Tell everybody briefly uh how that occurred.>> Well um uh you know so that's that's a great story of uh the uh the labyrinth that is the ...

Core Insights - Microsoft CEO Satya Nadella emphasizes the importance of shifting workflows to align with AI technology to avoid potential market bubbles in AI investments [2][3] - Nadella draws parallels between the current AI revolution and the computing revolution of the 1980s, suggesting that AI will create new opportunities for knowledge work and productivity [3] - The adoption of AI may lead to significant structural changes within organizations, particularly affecting information flow and organizational hierarchies [3] Industry Observations - Nadella warns that if AI growth is driven solely by investment in tech firms, it could indicate a bubble, highlighting the need for a broader discussion beyond just technology [2] - The 29th edition of PwC's Global CEO Survey reveals that only 10% to 12% of companies have seen benefits from AI in terms of revenue or cost, while 56% reported no benefits at all [4] - A concerning statistic from August 2025 indicates that 95% of generative AI pilots were failing, reflecting challenges in realizing AI's potential [4] Organizational Implications - Nadella suggests that leaner companies may adapt to AI more easily due to their flexible structures, while larger Fortune 500 companies may face challenges in implementing new workflows [3] - The shift in information flow due to AI could necessitate a redesign of organizational structures, moving away from traditional hierarchical models [3]

How do you see financial services, the workforce when it comes to financial services changing in the next say 5 to 10 years. Well, I for one have been trying to be a little bit more honest about this because I feel a lot of my tech bros are being slightly, you know, not to the point on this topic. I think there is a massive shift coming to knowledge work and it's not just in banking, it's in society at large.There are 8,000 people in Brussels that work as translators and I would argue that most of that can ...

How do you see financial services, the workforce when it comes to financial services changing in the next say 5 to 10 years. Well, I for one have been trying to be a little bit more honest about this because I feel a lot of my tech bros are being slightly, you know, not to the point on this topic. I think there is a massive shift coming to knowledge work and it's not just in banking, it's in society at large.There are 8,000 people in Brussels that work as translators and I would argue that most of that can ...

Agents are all the rage in 2025, and every single b2b SaaS startup/incumbent promises AI agents that can "automate work" in some way. But how do you actually build this? The answer is two fold: 1. really really good tools 2. carefully tailored agent reasoning over these tools that range from assistant-to-automation based UXs. The main goal of this talk is to a practical overview of agent architectures that can automate real-world work, with a focus on document-centric tasks. Learn the core building blocks o ...

Maybe eventually all knowledge work can be done by artificial intelligence. What happens to people that do knowledge work. How would they prepare, stay relevant. How do they stay on top of of things.I think at least in the near future, this is like having a superpower with you. It should take a lot of grunt work out allow you to operate at a higher level. You make videos on YouTube.Imagine the future in which if you want to explain something to your viewers, being able to quickly have a prompt that kind of ...