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@haozhangml Avatar @haozhangml Hao Zhang

Hao Zhang posts on X about llm, ai, community, support the most. They currently have XXXXX followers and X posts still getting attention that total XXXXXX engagements in the last XX hours.

Engagements: XXXXXX #

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Mentions: X #

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Followers: XXXXX #

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CreatorRank: XXXXXXX #

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Social Influence

Social category influence stocks XXXXX% technology brands XXXXX% finance XXXXX%

Social topic influence llm #17, ai 33.33%, community 33.33%, support 33.33%, systems 33.33%, thank you 33.33%, hao 33.33%, inference 33.33%, bullish 33.33%, mix XXXXX%

Top accounts mentioned or mentioned by @amd @anushelangovan @lisasu @hdsiucsd @haoailab @ying11231 @banghuaz @radixark @lmsysorg @slimeframework @jxwuyi @xai @_calio

Top Social Posts

Top posts by engagements in the last XX hours

"Thank you @AMD and @AnushElangovan and @LisaSu for the very generous support of our lab. We will be cooking hard on this machine stay tuned"
X Link 2025-12-12T19:53Z 6566 followers, 18.1K engagements

"Big congrats to @ying11231 @BanghuaZ and the @radixark team. I knew Ying way before the LLM inference wave and I've been bullish on the team -- few people match her mix of competitiveness ambition and mission-driven energy Cannot wait to see what the team will ship next 😀🚀"
X Link 2025-12-09T19:41Z 6566 followers, 8590 engagements

"One of the most interesting things Ive been working on recently: Jacobi Forcing -- a recipe that turns any autoregressive (AR) LLM into a native causal parallel decoder (I am glad to send it out to wrap up a great year of 2025📣📣) There's a lot of buzz around diffusion LLMs (and yes --we work on those too 😃). Theyre exciting because they can decode many tokens in parallel. But in practice there are some big cons: * Quality gap vs. strong AR baselines is still common. * Systems mismatch: non-causal attention often breaks free wins weve spent the last X years optimizing in serving stacks"
X Link 2025-12-17T21:51Z 6568 followers, 11.2K engagements