Search “Search”

English translation is being prepared.

Anthropic says Claude traced the source of NIST elliptic curve seeds in half an hour

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.

English translation is being prepared.

AI Starts Making Its Own Rules: How Values Determine Whether Multi-Agent Communities Move Toward Cooperation or Collapse

Microsoft Research Asia proposes the Societal AI direction, using multi-agent sandbox experiments to discover that values are a latent variable controlling AI behavior. After weakening benevolent values in 25% of agents, deceptive and aggressive behaviors increased and the group population continued to decline, with the number of agents in the community dropping to zero under extreme conditions. After injecting diverse values into agents, sub-community structures, discussions of governance issues, and more diverse collaborative constitutional rules spontaneously emerged in the group.

Anthropic says Mythos 5 autonomously designed quantum circuits, surpassing human optimal solutions in 53 hours

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.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

How to get Google Assistant back on Android and replace Gemini

Some Android users can choose the old assistant again after Gemini has fully taken over by uninstalling updates to the Google app and then reinstalling Google Assistant from the Play Store. This procedure also requires turning off automatic updates for the Google app, but it means missing security updates, and the restored Assistant does not respond to wake words such as "Hey Google" and can only be activated with the physical button. The article considers this very likely a system loophole that Google will close sooner or later.

Claude Code v2.1.302 Released

Claude Code has released v2.1.302, adding the CLAUDE_CODE_AUTO_MODE_MODEL environment variable to select the model used by the client-side auto mode classifier, and adding an Idle compaction toggle in /config. This version also fixes issues such as "Prompt is too long" being reported when stopping a turn while compacting a conversation, request failures after switching to Vertex or Bedrock mid-session, and the Read tool loading image sources larger than 128 MB entirely into memory, and improves multi-plugin startup speed and auto mode server-side classifier handling.

Hao AI Lab Tests GPT6-Astra Leading Jev Agents to Solve Cases

Hao AI Lab had three "detective teams" solve cases among 200 Victorian-era London cases: a Jev agent swarm acting alone, GPT6-Astra acting alone, and GPT6-Astra leading the Jev agent swarm. The conclusion is that the agent swarm can cover the clues, but a reasoning-capable leader is needed to spot contradictions and dig deeper.

I had Meta Muse negotiate with a customer service chatbot, and it didn't go smoothly

A CNET reporter had the Meta Muse agent contact Visible customer service to resolve an issue where their phone number had long been receiving harassing messages from people looking for the previous owner, Andrew. Muse found records on a data broker's page, but Visible blocked bot access; after switching to guest chat, the send button wouldn't submit, the help page temporarily banned them, and browser takeover also hit a 403 error. In the end the problem was not resolved, and Muse was more like an ordinary chatbot, only able to offer suggestions.

How OpenAI Designs Failover for Model Providers

For customers such as those in financial services, OpenAI explains the production routing and failover design for critical AI workloads between the direct OpenAI API (1P) and third-party cloud providers (3P). The direct API allows early access to preview models and features, and failover is enabled only when a request can be safely retried and the fallback route meets the requirements—for example, in a payment flow, a timed-out Responses API call for a read-only fraud assessment can be retried before the transaction deadline. In-progress sessions in the Agents API cannot be recovered by switching providers; multi-provider support is a platform capability, while failover is a workflow decision.

ElevenLabs Blog: AI Voice Agents Integrate with Salesforce, HubSpot, Zendesk

ElevenLabs released a guide on how to connect ElevenAgents voice agents to CRM and customer service systems such as Salesforce, HubSpot, and Zendesk, enabling bidirectional data operations such as reading customer records, creating tickets, and updating contacts during calls. The article states that with real-time context access, agents resolve inquiries up to 10 times faster than traditional approaches such as scripted chatbots or fixed phone trees, and can automatically log ticket history and reduce manual data entry through in-call and post-call webhooks.