{"id":3996,"date":"2026-07-22T08:14:10","date_gmt":"2026-07-22T08:14:10","guid":{"rendered":"https:\/\/koshalsambada.in\/?p=3996"},"modified":"2026-07-22T08:14:10","modified_gmt":"2026-07-22T08:14:10","slug":"metas-highest-paid-employee-alexandr-wang-has-forgotten-who-the-worlds-biggest-internet-company-is-says-who","status":"publish","type":"post","link":"https:\/\/koshalsambada.in\/?p=3996","title":{"rendered":"Meta’s ‘highest-paid’ employee Alexandr Wang has forgotten who the world’s biggest internet company is, says: Who \u2026"},"content":{"rendered":"


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Meta\u2019s highest paid employee Alexandr Wang recently shared a post on X (formerly Twitter) taunting Google\u2019s Gemini model. Wang was responding to a leaderboard shared by an X user \u2013 Tae Kim depicting Meta’s Muse Spark 1.1 outperforming the world’s biggest internet company\u2019s latest AI model \u2013 Gemini 3.6 Flash. \u201cGoogle getting beaten by @alexandr_wang this early, when Meta’s new AI team is tiny in comparison, is absolutely embarrassing for Google,\u201d the post stated. The chart quoted in the post from Artificial Analysis Intelligence Index showed top models like Anthropic\u2019s Claude Fable 5 and OpenAI\u2019s GPT-5.6 (59) leading, with Gemini 3.6 Flash scoring 50 while Meta’s entry ranks higher in reasoning, coding, and agentic tasks. Alexandr Wang shared the post on his timeline, writing \u201cgemini who?\u201d, underscoring Meta’s rapid AI progress since his high-profile 2025 hire from Scale AI. For those unaware, Mark Zuckerberg<\/a> hired Alexandr Wang as Meta’s Chief AI Officer after a reported $15 billion deal.<\/p>\n

What is Meta Muse Spark<\/keyword><\/h2>\n<\/p>\n

Muse Spark is the company\u2019s first model developed by Meta Superintelligence Labs which is led by Alexandr Wang. Earlier this month, Meta launched Muse Spark 1.1 as a new version of Muse Spark \u2013 a multimodal AI model designed for agentic coding. Announcing the model then, the company said: \u201cMuse Spark 1.1 delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services\u201d.<\/p>\n

Google brings Gemini 3.6 Flash<\/h2>\n<\/p>\n

Alexandr Wang\u2019s comment on Gemini model comes on the same day when Google launched Gemini 3.6 Flash, claimed to be \u201cmore efficient and better quality than 3.5 Flash\u201d. \u201cGemini 3.6 Flash builds directly on developer and customer feedback from 3.5 Flash. 3.6 Flash not only delivers a step up in coding and knowledge work, but it does this while meaningfully improving token efficiency,\u201d Google said in its official announcement.Stating how Gemini 3.6 Flash is better than the previous model \u2013 Gemini 3.5 Flash, the company said: <\/p>\n

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