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Hot AI summer isn’t slowing down. Even as GPT-5 rumors swirl in a never-ending game of “any day now,” Google dropped something real: Gemini 2.5 Deep…
Hot AI summer isn’t slowing down. Even as GPT-5 rumors swirl in a never-ending game of “any day now,” Google dropped something real: Gemini 2.5 Deep…
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Two BIG exits this week from LinkedIn alumni-founded companies: ?? Bluebirds, co-founded by LinkedIn alumni Rohan Punamia and Kunal Punera, has been…
Two BIG exits this week from LinkedIn alumni-founded companies: ?? Bluebirds, co-founded by LinkedIn alumni Rohan Punamia and Kunal Punera, has been…
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??Anthropic surpasses OpenAI in the enterprise LLM market, while OpenAI's share of enterprise usage is halved. How? 1. Code generation became AI’s…
??Anthropic surpasses OpenAI in the enterprise LLM market, while OpenAI's share of enterprise usage is halved. How? 1. Code generation became AI’s…
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工作经历和教育背景
资格认证
专利发明
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Sharing content to multiple public and private targets in a social network
颁发日期: US 10,785,181
Described herein is a technique to facilitate the sharing of a content item presented in a content feed of a social networking service. Upon detecting that a member has selected an option to share a content item, a content sharing interface is presented. The content sharing interface includes options share the content item publically via a content feed, and privately via a messaging service. The content sharing interface provides a ranked list of recommended recipients, where the recommended…
Described herein is a technique to facilitate the sharing of a content item presented in a content feed of a social networking service. Upon detecting that a member has selected an option to share a content item, a content sharing interface is presented. The content sharing interface includes options share the content item publically via a content feed, and privately via a messaging service. The content sharing interface provides a ranked list of recommended recipients, where the recommended recipients in the list are selected and ordered based on several factors, including factors relating to the relationship between the sharing member and the recommended recipients, as well as factors relating to the subject matter of the content item and the likelihood that a recommended recipient would be interested in the content item.
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Sequence to Sequence to Classification Model for Generating Recommended Messages
颁发日期: US 10,721,190
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Generating recommended responses based on historical message data
颁发日期: US 10,680,978
Disclosed are systems, methods, and non-transitory computer-readable media for generating recommended responses based on historical data. A messaging system receives a message as part of a communication session between a first client device and a second client device. The message originated from the first client device. The messaging system determines, using the message as input in a statistical model, a set of candidate responses for replying to the message. The statistical model was generated…
Disclosed are systems, methods, and non-transitory computer-readable media for generating recommended responses based on historical data. A messaging system receives a message as part of a communication session between a first client device and a second client device. The message originated from the first client device. The messaging system determines, using the message as input in a statistical model, a set of candidate responses for replying to the message. The statistical model was generated based on historical message data transmitted as part of previous communication sessions between a plurality of client devices. The set of candidate responses is a subset of a set of available candidate responses. The messaging system determines, based on a set of candidate selection rules, a subset of the candidate responses yielding a set of recommended responses to the message, and causes the set of recommended responses to be presented on the second client device.
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Generating smart replies involving image files
申请日期: US US16/019,925
Techniques for generating smart replies involving image files are disclosed herein. In some example embodiments, a computer system detects that a first message comprising a first image file has been transmitted from a first computing device of a first user to a second computing device of a second user, and generates a first plurality of smart replies based on a first embedding vector of the first image file, where the first embedding vector of the first image file is based on at least one of…
Techniques for generating smart replies involving image files are disclosed herein. In some example embodiments, a computer system detects that a first message comprising a first image file has been transmitted from a first computing device of a first user to a second computing device of a second user, and generates a first plurality of smart replies based on a first embedding vector of the first image file, where the first embedding vector of the first image file is based on at least one of first textual metadata of the first image file, first image data of the first image file, and a first set of query text used by a first set of users in a first set of searches that resulted in the first image file being included in a first set of transmitted messages.
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Generating diverse smart replies using synonym hierarchy
申请日期: US US16/020,148
Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies…
Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.
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?? Job Update! ?? After 5.5 absolutely incredible years at DoorDash, I’m thrilled to share that I’ve joined EarnIn to lead Growth…
?? Job Update! ?? After 5.5 absolutely incredible years at DoorDash, I’m thrilled to share that I’ve joined EarnIn to lead Growth…
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It’s a tale as old as time: Tech co crushes earnings, raises CapEx to meet surging AI demand - and markets flinch. Alphabet’s Q2: ?? Revenue up…
It’s a tale as old as time: Tech co crushes earnings, raises CapEx to meet surging AI demand - and markets flinch. Alphabet’s Q2: ?? Revenue up…
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Zapier is measuring Product Managers on AI fluency You only get Capable if you have good prompts & use AI for PRDs and research synth ?? This is…
Zapier is measuring Product Managers on AI fluency You only get Capable if you have good prompts & use AI for PRDs and research synth ?? This is…
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We're over the frustrating discussions about betting on some new idea that has zero customer signal. So Deepan and I built Edgedive. Customer…
We're over the frustrating discussions about betting on some new idea that has zero customer signal. So Deepan and I built Edgedive. Customer…
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The total value of all public companies in the tiny Bay Area (population 8M) is greater than India, Japan and Germany (population: ~1680M) combined.…
The total value of all public companies in the tiny Bay Area (population 8M) is greater than India, Japan and Germany (population: ~1680M) combined.…
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A few less-talked-about AI products I've been loving recently: - Magic Patterns, for vibe-coding tools for myself - Warp, for all kinds of local…
A few less-talked-about AI products I've been loving recently: - Magic Patterns, for vibe-coding tools for myself - Warp, for all kinds of local…
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First, AI ate search. Now, it's coming for the browser. This week, Perplexity launched its new browser, Comet. OpenAI is reportedly building one too.…
First, AI ate search. Now, it's coming for the browser. This week, Perplexity launched its new browser, Comet. OpenAI is reportedly building one too.…
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Two months ago, I barely knew what GitHub was. Today, I'm launching my first set of custom slash commands for #ClaudeCode called NEXUS (for all the…
Two months ago, I barely knew what GitHub was. Today, I'm launching my first set of custom slash commands for #ClaudeCode called NEXUS (for all the…
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The future of browsing is here. The visibility, efficiency, and superpowers Comet brings to my daily workflow are game-changing. Can’t wait to hear…
The future of browsing is here. The visibility, efficiency, and superpowers Comet brings to my daily workflow are game-changing. Can’t wait to hear…
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