the state of artificial intelligence and DeepSeek strikes again

the download highlights a new MIT Technology Review and Financial Times feature on the uneven economic effects of Artificial Intelligence and a roundup of major technology items, including DeepSeek’s latest model claims and an Amsterdam welfare Artificial Intelligence investigation.

the download opens with a look at “the state of Artificial Intelligence: welcome to the economic singularity,” a feature by David Rotman and Richard Waters that argues adoption of generative Artificial Intelligence is highly uneven across firms and sectors. the piece contrasts dramatic productivity gains for software developers using coding assistants with the many companies that report little return on early investments. skeptics point to probabilistic behavior and hallucinations as limits on business impact, while the authors note that slow, uneven effects are common for transformative technologies.

the newsletter’s curated must-reads collect developments shaping markets and policy. DeepSeek unveiled two experimental Artificial Intelligence models, including DeepSeek-V3.2, which the company says matches OpenAI’s GPT-5 reasoning and achieves efficiency gains despite limited access to advanced chips. OpenAI has issued an internal “code red” to prioritize improvements to ChatGPT as Google and Anthropic close in. other highlights include warnings about signs of an Artificial Intelligence investment bubble, new state-level laws in the US aimed at preventing algorithmic discrimination, Pathway’s work on post-transformer architectures, India’s demand that smartphone makers install a government app and the privacy debate that followed, and a surge of college students enrolling in Artificial Intelligence majors. cultural and consumer items range from the risk to America’s musical heritage stored on deteriorating tapes to celebrity pushback against misuse of Artificial Intelligence, and Samsung’s reveal of a tri-folding phone with uncertain consumer demand.

the newsletter also spotlights an investigative project by Lighthouse Reports, MIT Technology Review, and the dutch newspaper Trouw examining Amsterdam’s attempt to deploy a welfare Artificial Intelligence system, which found the pilot still produced unfair outcomes despite best-practice efforts. contributors Eileen Guo, Gabriel Geiger, and Justin-Casimir Braun report on the access they were granted to better understand where the system failed. the edition closes with a notable quote from Michael Lohscheller on geopolitical competition and a lighthearted “we can still have nice things” section offering cultural diversions and suggestions for readers.

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Artificial intelligence becomes a lever for transformation in Africa

African researchers and institutions are positioning artificial intelligence as a tool to tackle structural challenges in health, education, agriculture and governance, while pushing for data sovereignty and local language inclusion. The continent faces hurdles around skills, infrastructure and control of data but is exploring frugal technological models tailored to its realities.

Microsoft unveils Maia 200 artificial intelligence inference accelerator

Microsoft has introduced Maia 200, a custom artificial intelligence inference accelerator built on a 3 nm process and designed to improve the economics of token generation for large models, including GPT-5.2. The chip targets higher performance per dollar for services like Microsoft Foundry and Microsoft 365 Copilot while supporting synthetic data pipelines for next generation models.

Samsung’s 2 nm node progress could revive foundry business and attract Qualcomm

Samsung Foundry’s 2 nm SF2 process is reportedly stabilizing at around 50% yields, positioning the Exynos 2600 as a key proof of concept and potentially helping the chip division return to profit. New demand from Tesla Artificial Intelligence chips and possible deals with Qualcomm and AMD are seen as central to the turnaround.

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