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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 17, 2026
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Read full article about: AI and data centers have leapfrogged Israel, racism, and crypto as US campaign topics

AI has become a major campaign issue in the United States. A Washington Post analysis of more than 1,200 websites from active candidates found that AI comes up in nearly 40 percent of all races for the House, Senate, and governor seats. Data centers and their impact on local electricity costs, water use, and land use dominate the conversation.

AI now ranks ahead of long-established campaign topics like Israel, manufacturing, and racism. | Image: Washington Post (screenshot)

Democratic candidates bring up AI twice as often as Republicans, according to the analysis, focusing on AI risks, regulation, and child safety. Republicans lean mostly on national security and competition with China. Separate polls show that a majority of Americans are skeptical of AI and worry about job losses.

Comment Source: Washington Post
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 17, 2026
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Read full article about: Stripe is reportedly acquiring AI startup OpenRouter for more than $7 billion

Stripe is reportedly acquiring the AI startup OpenRouter for more than $7 billion, according to Bloomberg. OpenRouter helps customers pick different AI models for various tasks based on their needs and budget, and the startup had just closed a Series B funding round of $113 million in May at a valuation of $1.3 billion. Investors include Sequoia, Andreessen Horowitz, Menlo Ventures, and Alphabet's Capital G.

OpenRouter CEO Alex Atallah had described his company as "Stripe for AI," since it offers a single point of access to various systems and prevents lock-in with individual providers. The startup has eight million users and provides access to more than 400 models.

Stripe could be the ideal buyer for OpenRouter, given that the company already handles massive volumes of latency-sensitive, high-availability requests and has built its entire business on abstracting away payment infrastructure. With this acquisition, Stripe is positioning itself for the token economy.

Comment Source: Bloomberg
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 16, 2026
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Read full article about: Top mathematicians say LLMs are strong calculators but poor creative thinkers

LLMs can't jump, Part II. Mathematicians Timothy Gowers and Peter Sarnak credit large language models with serious math skills but see hard limits for genuinely new ideas. Gowers argues current models are good at combining known methods and trying many search paths but lack the intuition to pick the few productive routes in a vast search space. Sarnak agrees: AI can derive results from existing theory but fails to develop the abstractions that underpin major proofs when starting from an elementary question.

DeepMind researcher Tom Zahavy reached a similar conclusion. In his paper "LLMs Can't Jump," he pins the bottleneck on "manipulative abduction," the ability to invent new foundational assumptions with no linguistic precedent. World models could offer a way forward. These assessments feed into a broader debate about whether LLMs are actually becoming more versatile or "just" getting better at benchmarks and familiar problem spaces.

Comment Source: AMS | Gowers
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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 16, 2026
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Read full article about: OpenAI dissolved the team built to catch catastrophic AI risks, reassigning its work to other groups

OpenAI shut down its "Preparedness" team at the end of July. The team evaluated whether the company's AI models could pose serious or catastrophic risks, the Financial Times reports, citing internal sources. Its work on biological and cyber risks has been parceled out to existing teams.

Former unit lead Dylan Scandinaro now focuses on safety risks from "recursively self-improving" AI, systems that can optimize themselves and train other models. Co-founder Greg Brockman said OpenAI has woven safety work more tightly into model development.

Several safety staffers have left recently, including Chief Ethics Officer Chloe Bakalar and Joshua Achiam. Internally, unease is building. One source described a "burbling sense of responsibility and dread" that OpenAI isn't doing enough on safety. Employees have also spoken up publicly, especially after the autonomous hacking incident involving Hugging Face. One employee said he hoped OpenAI would treat it as a "warning shot."

Comment Source: Financial Times
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 16, 2026
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Read full article about: Anthropic's bio-weapons filter was down for nearly a year, exposing 133 million requests

From the company whose CEO calls AI-assisted development of chemical and biological weapons a bigger threat than cyberattacks comes a safety report revealing that Anthropic's blocking biological classifiers were inactive from May 2025 through April 2026. These filters are designed to prevent AI models from being used to extract dangerous knowledge about chemical or biological weapons. For almost a year, all traffic from external contractors providing human feedback ran without them.

Screenshot

The gap affected a pool of about 50,000 people who ran roughly 133 million chats with the models. According to Anthropic, these individuals were vetted only by external vendors whose screening processes were often insufficient. Anthropic says its internal investigation turned up no evidence of actual misuse. The company has since tightened contractor requirements.

Anthropic also recently loosened its classifiers on Fable 5 after researchers complained the filters were so aggressive they blocked legitimate research.

Comment Source: Anthropic Redacted Risk Report
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Tomislav Bezmalinović
Tomislav Bezmalinović
Aug 16, 2026
AI in practice
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Optima tackles AI benchmarking's biggest flaw by letting users test models against their own data

Artificial Analysis has launched Optima, a platform that lets users build custom AI benchmarks from their own data and workflows. Models can be compared not just on quality but also on cost and time per task. For agent-based applications, those metrics often tell you more than raw token pricing.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Aug 15, 2026
AI in practice
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Investor pressure forces Nvidia to shrink its OpenAI bet just as Anthropic's numbers defy bubble warnings

Nvidia has cut its guarantee for OpenAI’s planned data center in Ohio nearly in half, from $250 billion to just under $120 billion, after investors pushed back on the risk. Meanwhile, Anthropic is complicating the AI bubble debate with revenue that jumped from $4.7 billion to $11.5 billion in a single quarter.

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