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Read full article about: Anthropic built an economic model that frames its CEO's bleakest job forecasts as an outlier scenario

Anthropic published an economic model with three scenarios for the US economy through 2030. In the modest scenario, AI's impact resembles the internet's, with slight GDP growth and stable wages. The middle scenario doubles economic growth, but knowledge worker wages stagnate. Programmers and call center workers would need to move into jobs like electrician or nurse, a hard switch that pushes up unemployment. In the extreme scenario, output doubles every 4.5 years, knowledge worker unemployment hits 17.9 percent, and labor's share of GDP falls from 60 to 45 percent.

Anthropic's forecast for US labor market shifts from 2026 to 2030 under the modest scenario. Knowledge workers drop from 62.2 to 59.7 percent of the workforce, other occupations grow from 37.8 to 39.6 percent. | Source: Anthropic

The fun part is where Amodei's own words land. He warned in May 2025 that up to half of all entry-level office jobs could vanish by 2030 and unemployment could hit 10 to 20 percent. Those numbers line up with the extreme scenario. So Anthropic's own model is recasting its CEO's predictions as the most unlikely outcome or, dare I say, alarmist. History hasn't been kind to tech executives confidently forecasting which jobs other people will lose.

Suno launches v6 music models built with Warner, BMG, and Believe

Suno has unveiled a new AI music model generation, v6, in three versions, built together with Warner Music Group, BMG, and Believe. All older models are being shut down. Songs can now be partially changed through text commands or generated multimodally from text, audio, and images. The company won’t say which catalogs went into training, while Universal and Sony keep suing.

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Anthropic scientist puts the odds of AI destroying humanity above ten percent this decade

Jacob Coxon, a former pretraining researcher at OpenAI and Anthropic, has quit and accuses both companies of knowingly risking human extinction. Anthropic colleague Evan Hubinger puts the odds of a misaligned superintelligent AI wiping out humanity within the next decade at more than ten percent.

Read full article about: AWS is using Qualcomm for AI inference while Qualcomm uses AWS Bedrock to design the chips

Qualcomm is designing custom chips for AWS across multiple product generations, with a focus on AI inference. The two companies are also working on optical interconnects with bandwidth up to 1.6 terabits to handle the growing data traffic in AI infrastructure. Qualcomm brings its track record in power-efficient chip design, while Amazon contributes its cloud infrastructure. In return, Qualcomm uses AWS services like Amazon Bedrock to speed up its chip design process.

Amazon is Qualcomm's third big data center win since June. Meta is taking the Dragonfly C1000 server processor, and Microsoft is deploying Qualcomm's HBC memory architecture in Azure. Qualcomm aims to hit $15 billion in data center revenue by 2029.

AWS is adding Qualcomm's designs alongside its own Trainium, Graviton, and Nitro chip families. The move targets inference workloads, where energy cost per token drives the bottom line. Efficiency is also Qualcomm's focus at the other end of the stack, on edge devices. In March, Qualcomm's AI research division released a framework that runs reasoning models on smartphones.

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Read full article about: Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat

Hugging Face launched "ML Intern," an AI assistant built into its chatbot that lets users run machine learning experiments without any ML expertise. Users start by describing their idea in a conversation. The assistant then searches the Hugging Face Hub, GitHub, and the web to find the right models, datasets, and tools. Before kicking anything off, ML Intern estimates the required compute costs and suggests a budget. Once approved, it won't exceed that limit.

From there, the system works on its own. It can create datasets, train models, monitor running jobs, upload results to the Hub, write reports, and build demos. Each training run gets its own dashboard for tracking progress. One example from the demo video ran for about six hours and cost less than $0.50, according to Hugging Face.

The tool lowers the barrier for new ML projects on the platform. Meanwhile, Hugging Face itself is in the middle of an acquisition by Nvidia. CEO Jensen Huang has promised to keep the platform open and hardware-neutral.

OpenAI researcher allegedly pressured mathematician to drop Anthropic co-author from math breakthrough paper

Mathematician Tristan Buckmaster says an OpenAI researcher pressured him after information about his AI-assisted progress on the Navier-Stokes equations allegedly reached the company. The researcher tried to remove his co-author because he works at Anthropic and threatened Buckmaster when he refused, according to Buckmaster’s account. OpenAI then claimed its own breakthrough using the same unusual solution path. Buckmaster had uploaded all his drafts to Codex. OpenAI told him the model didn’t look up user data, but when he asked about training, he says he got no answer. OpenAI denies the allegations.

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Read full article about: Patagonia has what AI data centers want, including no resistance so far

Argentina's Patagonia is drawing attention as a possible site for large AI data centers. A cool climate, hydropower, wind energy, shale gas from the Vaca Muerta formation, and plenty of empty land are the draw, according to a Reuters report.

Power producer Pampa Energía plans a facility of up to 500 megawatts in Neuquén province and is looking for investors, with the first contracts expected by the end of 2026. Interested parties want to start with 20 to 40 megawatts. The grid infrastructure for the full build-out alone would cost around $900 million. Polish company Green Capital wants to start with 300 megawatts in Chubut, with 3,000 megawatts planned over the long term. OpenAI announced a project with Sur Energy back in October, but it hasn't been signed yet.

Unlike in the US, there's been no pushback against server farms in Argentina so far, because the country barely has any large facilities yet. That could change. Pampa wants to build next to its Loma de la Lata power plant, and Indigenous Mapuche families live there who have clashed with energy companies several times before. Grid connection, undersea cables, and how stable investment conditions will be after the 2027 presidential election also remain open questions.