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A report released by Anthropic shows that the share of junior employees in its technical department fell from 21% in early 2025 to 14%, and the share of junior technical positions in hiring dropped from 27% to 9%. The technical team's share of overall employees fell from 61% to 56%, per-employee meeting time increased 20% year over year, and technical contributors increased 16%. The report says human attention and judgment are becoming productivity bottlenecks, and 27% of employees said Claude has improved their efficiency.
A report released by Anthropic shows that the share of junior employees in its technical department fell from 21% in early 2025 to 14%, and the share of junior technical positions in hiring dropped from 27% to 9%. The technical team's share of overall employees fell from 61% to 56%, per-employee meeting time increased 20% year over year, and technical contributors increased 16%. The report says human attention and judgment are becoming productivity bottlenecks, and 27% of employees said Claude h
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OpenCode released an official statement on a large-scale distillation attack, saying the incident affected 1.4% of OpenCode Console users, specifically a subset of users who had linked external providers. Those users were notified by email that morning; anyone who did not receive an email was not affected. TestingCatalog reported that the balances of some OpenCode users on OpenAI, Anthropic, and Google were drained. The incident is still being handled, and OpenCode is working with the three companies to remediate it.
fficial statement on a large-scale distillation attack, saying the incident affected 1.4% of OpenCode Console users, specifically a subset of users who had linked external providers. Those users were notified by email that morning; anyone who did not receive an email was not affected. TestingCatalog reported that the balances of some OpenCode users on OpenAI, Anthropic, and Google were drained. The incident is still being handled, and OpenCode is working with the three companies to remediate it.
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Anthropic published a study: an employee gave Claude's internal research model the question of the source of the NIST elliptic curve seeds, which had puzzled the cryptography community for more than twenty years, and Claude traced within less than half an hour that the seeds for P-192, P-224, P-256, P-384 and P-521 came from the lrand48 pseudorandom number generator in the C language library, with the initial state determined by the Unix timestamp. Anthropic said the finding did not break ECDSA and did not bring new attack methods, but it reduced the possibility that the relevant curves had been deliberately implanted with backdoors. Claude also traced that the base points of six curves including P-192 came from FreeLIP's random number generator, though the source of the B-163 curve seed and how the base points of some curves were generated remain unexplained.
Anthropic published a study: an employee gave Claude's internal research model the question of the source of the NIST elliptic curve seeds, which had puzzled the cryptography community for more than twenty years, and Claude traced within less than half an hour that the seeds for P-192, P-224, P-256, P-384 and P-521 came from the lrand48 pseudorandom number generator in the C language library, with the initial state determined by the Unix timestamp. Anthropic said the finding did not break ECDSA
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Anthropic announced a study in which Mythos 5, given only natural language task descriptions, fully autonomously closed-loop designed 8 basic quantum circuits within 53 hours, all surpassing the best publicly published human designs. In the divsteps task in number theory and cryptography, it autonomously derived a new algebraic identity and completed formalization in Lean, reducing the number of quantum gates by 17 times while increasing qubits by only 12%; in the DQI decoding task, it switched to the Berlekamp-Massey decoding method and precisely calculated storage requirements, reducing gate count by 12 times compared with the original architecture. The research comes from Anthropic's STEM Fellows project, and the text also mentions that FeMoco simulation gate count dropped from the 50 trillion estimated by humans in 2017 to 340 million over 8 years.
Anthropic announced a study in which Mythos 5, given only natural language task descriptions, fully autonomously closed-loop designed 8 basic quantum circuits within 53 hours, all surpassing the best publicly published human designs. In the divsteps task in number theory and cryptography, it autonomously derived a new algebraic identity and completed formalization in Lean, reducing the number of quantum gates by 17 times while increasing qubits by only 12%; in the DQI decoding task, it switched
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Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address complex issues such as hunger and plastic pollution through systematic approaches.
Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address c
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Anthropic's latest research compared survey results from U.S. adults and 1,334 company employees. Most Anthropic employees expect that by 2030 at least 80% of their own work could be handed over to AI, while only about 5% of American workers share that view. Based on median estimates, Anthropic employees expect that by the end of 2030, 95% of the work required to develop new AI models could be done by AI, and they expect U.S. unemployment to exceed 12% and GDP growth to reach 17.1% by then, while U.S. adults' corresponding GDP growth expectation is 5.4%.
Anthropic's latest research compared survey results from U.S. adults and 1,334 company employees. Most Anthropic employees expect that by 2030 at least 80% of their own work could be handed over to AI, while only about 5% of American workers share that view. Based on median estimates, Anthropic employees expect that by the end of 2030, 95% of the work required to develop new AI models could be done by AI, and they expect U.S. unemployment to exceed 12% and GDP growth to reach 17.1% by then, whil
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Anthropic released a report stating that by August 2026, the working hours of interactive AI agents deployed by employees had reached 6 times that of human employees, and in March, the company-wide total agent work hours exceeded human work hours for the first time. The report shows that the share of junior employees in the technology department fell from 21% in early 2025 to 14%, the share of junior tech job openings fell from 27% to 9%, and engineers using coding agents averaged 5 times as many code commits as they did 6 months earlier. The report also says its revenue per employee is 2 to 4 times that of Meta and Google during their high-growth periods, but Epoch AI cautions that the related estimates carry uncertainty.
Anthropic released a report stating that by August 2026, the working hours of interactive AI agents deployed by employees had reached 6 times that of human employees, and in March, the company-wide total agent work hours exceeded human work hours for the first time. The report shows that the share of junior employees in the technology department fell from 21% in early 2025 to 14%, the share of junior tech job openings fell from 27% to 9%, and engineers using coding agents averaged 5 times as man
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Anthropic's Peter McCrory announced the release of two new findings from within Anthropic: first, how work and hiring are changing at companies at the forefront of AI adoption; second, how Anthropic employees expect AI to change the economy.
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