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Anthropic researchers gave Claude plain-language specifications for eight quantum circuit design tasks spanning chemistry, optimization, physics simulation, and number theory. Using a closed-loop process—proposing designs, receiving automated scores based on qubit and gate counts, then iterating—Claude Mythos 5 beat the best published benchmarks in all eight cases, sometimes by an order of magnitude or more. Key wins include making a quantum optimization algorithm's costliest step roughly 12x cheaper and devising a novel modular inversion approach for elliptic-curve calculations. The work was led by Andi Gu through Anthropic's STEM Fellows Program.

Anthropic's Claude solved a year cryptographic mystery by identifying the origins of NIST's ECDSA elliptic curve seeds. The seeds, provided by the NSA in 2000 with no explanation, were not hashes of passphrases as rumored, but outputs of C's lrand48 random-number generator seeded with Unix timestamps from 1997–1998. Claude wrote a scanner, applied the LLL lattice algorithm, and recovered all five prime-curve seeds in under 30 minutes. The finding confirms no backdoors exist. A $36,864 bounty will be donated to the Internet Security Research Group.

An Anthropic survey of US adults and Anthropic staff reveals a stark expectations gap on AI's economic impact. While 91% of Anthropic staff expect AI to make a Nobel-level scientific discovery by 2030, only 39% of US adults agree. Staff also expect AI to handle 75% of their own work by 2030, versus 28% for US workers. On productivity, 59% of staff say AI cuts task time to a quarter or less, compared to 26% of AI-using US adults.

An Anthropic internal study found that AI agents now work six times more hours than human employees, with interactive agent hours surpassing human hours for the first time in March 2026. The share of junior technical employees fell from 21% to 14% since early 2025, with junior hires dropping from 27% to 9%. Code commits per engineer rose 5x in six months. Hiring managers now prioritize autonomy and judgment over technical expertise, as human attention becomes the primary bottleneck in AI-heavy workflows.

Mark Wahlberg expressed openness to AI in filmmaking at TechCrunch Disrupt, saying he plans to use it to enhance stadium settings in his upcoming Pete Rose biopic. He supports AI as a tool to augment storytelling, not replace it, opposing AI-generated scripts without real actors. Wahlberg also said he'd welcome an AI clone of his likeness, suggesting his children could manage it, and wouldn't oppose an AI version continuing his animated series Ted indefinitely.

The accessible source details point to this update: Bringing GPT-Rosalind to academic research labs. Because the full article could not be reliably extracted or rewritten, this TLDR stays conservative and is based on headline-level information plus limited source context from openai.com.

Google Quantum AI has demonstrated "magic state cultivation" on its Willow processor, achieving a fold reduction in errors compared to uncultivated states and a record logical fidelity of 99.99%. Published in Science, the breakthrough addresses a bottleneck identified since 2004, where creating error-corrected magic states could consume up to 95% of a quantum computer's capacity. The team, led by Craig Gidney, Noah Shutty, and Cody Jones, also demonstrated switching between color codes and surface codes on real hardware.

Anthropic has granted METR, an AI safety nonprofit, employee-like access to evaluate its models and safety practices. Six METR staff received company hardware, office space, and access to internal tools comparable to Anthropic's own risk assessment teams. METR will independently publish risk assessments without Anthropic veto rights, though Anthropic can require redactions in narrow predefined categories. Anthropic is also working with SecureBio and Accenture as evaluators, and is in early discussions with Hugging Face, under a three-tier access framework.