A new Anthropic research report shows that its employees expect AI to complete 75% of their current work by 2030, while US workers gave a figure of 28%. The expectation gap widens with task difficulty: 91% of employees believe AI will be able to make Nobel Prize-level discoveries by 2030, compared with 39% of the public.
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The Guardian interprets a report released this week by Anthropic's offensive research team: the team says it has built a malicious AI program that can spread autonomously among internet-connected smart TVs, splitting itself across 15 TVs and borrowing a little computing power from each to keep running. The researchers believe a successful AI worm would need stronger capabilities on lower-powered devices, but that current trends make this potentially feasible by the end of the year; the worm in an earlier University of Toronto paper instead infected a full-sized computer and could spread faster. Security experts disagree: some stress that IoT devices such as smart TVs are slow to receive patch updates and their risks are hard to fix, while others argue the experiment moves slowly and its actions are predictable and interceptable, making it stunt hacking.
The Guardian interprets a report released this week by Anthropic's offensive research team: the team says it has built a malicious AI program that can spread autonomously among internet-connected smart TVs, splitting itself across 15 TVs and borrowing a little computing power from each to keep running. The researchers believe a successful AI worm would need stronger capabilities on lower-powered devices, but that current trends make this potentially feasible by the end of the year; the worm in a
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Anthropic is working with law firms to develop fair negotiation standards for AI agents that bargain on users' behalf, handle complaints, or improve contract offers. According to the Financial Times, the company has shown in experiments that stronger models can negotiate better deals, which could widen social inequality. Anthropic is also hiring Conceptual Reasoning Fellows with legal backgrounds to spend four months testing Claude on judgment-intensive questions in law, philosophy, cognitive science, economics, and political science, with pay of $100,000 to $167,000.
Anthropic is working with law firms to develop fair negotiation standards for AI agents that bargain on users' behalf, handle complaints, or improve contract offers. According to the Financial Times, the company has shown in experiments that stronger models can negotiate better deals, which could widen social inequality. Anthropic is also hiring Conceptual Reasoning Fellows with legal backgrounds to spend four months testing Claude on judgment-intensive questions in law, philosophy, cognitive sc
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Anthropic co-founder Jack Clark said the company's internal models predict that, under certain conditions, AI could boost US economic output by nearly 50% by 2030, with potential US GDP reaching $44 trillion. He also warned that growing evidence points to a "technological singularity," that AI development will outpace human control, and that the window to build safety safeguards is only "a few short years."
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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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