←Search results

Search “DeepMind”

By relevance · Total 607 results Clear search

Tuesday

Monday

  3. ScienceNet

    AI as a "research partner"—are you really at ease with it?

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv review of 2.5 million papers and 111 million references shows that in 2025 alone, the four major platforms contained nearly 150,000 fabricated references generated by AI.

    Anhui University of Finance and Economics reported an academic misconduct case, determining that the author's "mistaken belief" in AI search results constituted improper use of AI and penalizing the responsible parties. Multiple researchers have pointed out that AI can complete closed-loop processes such as literature review and experimental planning, but cannot independently pose original questions, and will generate seemingly plausible yet unverifiable hypotheses and fake citations. An arXiv r

    Matched fieldsBody

    #science#English text is being prepared.#Agents#English text is being prepared.

Sunday

Friday

Saturday

Thursday

  1. QbitAI

    Google Releases Gemini 4 Argon, Topping Multiple Leaderboards and Focusing on Cybersecurity Defense

    Google has released its new-generation flagship model Gemini 4 Argon, which scores 77.9% on DeepSWE v1.1, surpassing Claude Opus 5.5's 74.2% and GPT-6 Astra's 74.1%, and tops the Vals Index with 68.90%. The model supports output of up to one million tokens, and during the promotional period costs $2 per million input tokens and $10 per million output tokens, with a per-question cost of about 40% of Astra's. It is currently available only to vetted cybersecurity defense teams, with the first batch entering Google's Fairwind program.

    Google has released its new-generation flagship model Gemini 4 Argon, which scores 77.9% on DeepSWE v1.1, surpassing Claude Opus 5.5's 74.2% and GPT-6 Astra's 74.1%, and tops the Vals Index with 68.90%. The model supports output of up to one million tokens, and during the promotional period costs $2 per million input tokens and $10 per million output tokens, with a per-question cost of about 40% of Astra's. It is currently available only to vetted cybersecurity defense teams, with the first batc

    Matched fieldsBody

    #chinese#Model releases#Google#DeepMind

Wednesday