PMI

Venture capitalist Vinod Khosla says Wajo, a startup founded by a former DeepMind engineer, is positioned to win the market for AI agents. His reasoning centers on trust: as autonomous agents take on more consequential tasks, users will choose the company they believe handles reliability and safety best. The endorsement puts a small entrant in direct competition with far larger AI labs pursuing agent products.

The UK construction industry contracted at its slowest pace in eight months, according to the latest purchasing managers' index data. The figures suggest conditions in the sector are stabilising after a prolonged downturn, offering a modest sign of improvement for housebuilders, commercial developers and civil engineering firms facing weak demand and high costs.

Google DeepMind has announced Gemini 4 Argon, a new version of its Gemini AI model line aimed at handling complex, multi-step AI workflows. The announcement is drawing attention from developers and AI watchers discussing what the model's improvements mean for agentic and reasoning tasks, and how it stacks up against competing frontier models from OpenAI and Anthropic.

Google DeepMind has announced a watermarking system for AI-designed proteins, embedding identifiable markers into protein structures generated by its models. The move is intended to make it easier to trace and verify synthetic proteins, a growing concern as generative AI tools produce biological designs that could pose safety or biosecurity risks if misused.

New purchasing managers' index data for September is being analysed for what it says about the health of the industrial economy. The figures, covered by trade outlet FreightWaves, are being read as an indicator of manufacturing activity, freight demand and broader economic momentum heading into the final quarter of the year.

Google DeepMind has released Gemini 4 Argon, a new AI model offering a context window of up to one million tokens. The upgrade allows the model to process far larger documents, codebases and conversations in a single session than previous versions. Tech observers are weighing the implications for long-form analysis, research and developer workflows, and comparing the context limit with rival AI providers' offerings.

Google DeepMind's Lila Ibrahim, described as the world's top AI 'readiness' officer, is speaking out about how society should prepare for advanced artificial intelligence. In an interview with CNBC, she discusses the role of responsible deployment and what organizations and governments must do ahead of rapid AI developments, offering a rare look inside the safety thinking of one of the world's leading AI labs.

Markets are watching a run of key economic releases this week, with services purchasing managers' index figures due for both Europe and the United States. The data will be read alongside decisions and commentary from major central banks, as investors try to gauge the health of the services sector and the likely path of interest rates on both sides of the Atlantic.

Spain's services sector picked up pace in the latest month even as businesses faced rising costs, according to the purchasing managers' index. The PMI data pointed to faster growth in activity, suggesting demand remains resilient despite price pressures weighing on service providers across the country.

Posts are circulating tags tying DeepMind and researcher Mary Phuong to a discussion of AGI risks, including loss of control concerns around frontier models and agent swarms, alongside hashtags about generative fiction and attraction to fiction. The material points to a longer presentation, but no specific claim or announcement is stated in the available context.

Bitcoin traders are focused on the upcoming US ISM Services PMI release and comments from Federal Reserve officials, looking for clues about interest rate policy. Market watchers say macroeconomic data continues to drive crypto price moves, with a weak or strong services reading likely to shift expectations for Fed rate decisions and, in turn, Bitcoin's direction.

Google DeepMind has introduced a watermarking method for proteins designed by its AI systems, embedding markers into the molecular structures themselves. The key finding is that the watermark does not ruin the proteins' function: the first designed binders still bind to their targets as intended. The work addresses concerns around tracing and verifying AI-generated biological designs, and researchers are weighing its implications for safety and accountability in computational biology.

Scott Graffius is promoting his website, which offers resources and analysis on technology and business topics including AI, Agile, project management, teamwork and leadership. As an example of the content, he points to a talk on strategic alignment he gave at a PMI Silicon Valley event. The self-promotion has drawn only minimal attention so far, with a small number of likes and little visible discussion.

Google DeepMind has announced Gemini 4 Argon, a new AI model, with the announcement dated 30 September 2026. Early coverage focuses on a quick overview of the model's price, access options and benchmark results, with discussion spreading across programming and AI communities. Details beyond pricing, availability and benchmarks remain scarce, and independent confirmation of the specifications has not yet emerged.

Google DeepMind has applied a watermark to an AI-generated protein, with company chief AI scientist Demis Hassabis highlighting Biosec, a system for marking AI-designed biological structures. The move signals an effort to make AI-produced proteins identifiable and traceable, as debate grows over how to safely label and regulate biotechnology outputs generated by artificial intelligence.