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QualcommX (Twitter)

Qualcomm highlights Dragonwing stack for Edge AI, discusses Modular acquisition, and Meta's Muse Glimmer LLM optimization.

Source

XAug 14, 2026

@Qualcomm

likes
30
replies
1
reposts
6
quotes
0
views
5,608
bookmarks
4

Post

This Week in AI: πŸ”΅ Unified Qualcomm #Dragonwing stack brings together AI tools, runtimes, and hardware to simplify development and deployment of production-ready Edge AI applications: https://t.co/N4HMpTGaqv πŸ”΅ In a live AMA, @durga_malladi, EVP and GM, Technology Planning, Edge Solutions & Data Center at Qualcomm, joined @Modular co-founders Chris Lattner and Tim Davis to discuss the acquisition and the evolving developer roadmap: https://t.co/U27oiB1Or0 πŸ”΅ @AIatMeta's open-weight Muse Glimmer LLM is optimized for @Snapdragon platforms, helping developers build personalized, always-on agentic AI experiences on device: https://t.co/ZWtL375men

x.com/Qualcomm/status/2088400341901386102Read the full source

Extracted by Autobound

From the Signal API record
Signal
X (Twitter)
Account
@Qualcomm
Account location
San Diego, CA

The full record

From the Signal API record

Details

Handle
Qualcomm
Verified account
No
Followers
441,546

Topics and mentions

Tags

  • Artificial Intelligence
  • Machine Learning
  • Product Development
  • Acquisitions
  • Edge AI

Urls

  • https://bit.ly/4xEOg9c
  • https://bit.ly/45pymDV
  • https://bit.ly/4hTn0zx

Hashtags

  • Dragonwing

Accounts mentioned

  • @durga malladi
  • @Modular
  • @AIatMeta
  • @Snapdragon

Initiatives

  • launching unified Dragonwing AI stack
  • AMA on Modular acquisition and developer roadmap
  • optimizing Meta's Muse Glimmer LLM for Snapdragon

Technologies named

  • Qualcomm Dragonwing
  • Snapdragon
  • Muse Glimmer LLM

Extraction

Detected
Aug 17, 2026
signal_type
twitter-company-posts
signal_subtype
twitter_post

Use this data

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The API returns more than this page shows

This page shows a preview. The full twitter-company-posts record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/09fcdf0d-a819-488a-965b-fd9ec3c02089 returns this record as JSON. POST /v1/companies/enrich returns every signal for qualcomm.com.

{
  "signal_id": "09fcdf0d-a819-488a-965b-fd9ec3c02089",
  "signal_type": "twitter-company-posts",
  "signal_subtype": "twitter_post",
  "detected_at": "2026-08-17T16:10:39.392+00:00",
  "company": {
    "name": "Qualcomm",
    "domain": "qualcomm.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Machine Learning",
      "Product Development",
      "Edge AI",
      "Acquisitions"
    ],
    "urls": [
      "https://bit.ly/4xEOg9c",
      "https://bit.ly/45pymDV",
      "https://bit.ly/4hTn0zx"
    ],
    "summary": "Qualcomm highlights Dragonwing stack for Edge AI, discusses Modular acquisition, and Meta's Muse Glimmer LLM optimization.",
    "hashtags": [
      "Dragonwing"
    ],
    "is_reply": false,
    "language": "en",
    "mentions": [
      "@durga_malladi",
      "@Modular",
      "@AIatMeta",
      "@Snapdragon"
    ],
    "post_url": "https://x.com/Qualcomm/status/2088400341901386102",
    "tweet_id": "2088400341901386102",
    "num_likes": 30,
    "num_views": 5608,
    "post_text": "This Week in AI: \n\nπŸ”΅ Unified Qualcomm #Dragonwing stack brings together AI tools, runtimes, and hardware to simplify development and deployment of production-ready Edge AI applications: https://t.co/N4HMpTGaqv\n\nπŸ”΅ In a live AMA, @durga_malladi, EVP and GM, Technology Planning, Edge Solutions & Data Center at Qualcomm, joined @Modular co-founders Chris Lattner and Tim Davis to discuss the acquisition and the evolving developer roadmap: https://t.co/U27oiB1Or0 \n\nπŸ”΅ @AIatMeta's open-weight Muse Glimmer LLM is optimized for @Snapdragon platforms, helping developers build personalized, always-on agentic AI experiences on device: https://t.co/ZWtL375men",
    "num_quotes": 0,
    "initiatives": [
      {
        "topic": "launching unified Dragonwing AI stack",
        "urgency": 0.8
      },
      {
        "topic": "AMA on Modular acquisition and developer roadmap",
        "urgency": 0.7
      },
      {
        "topic": "optimizing Meta's Muse Glimmer LLM for Snapdragon",
        "urgency": 0.75
      }
    ],
    "num_replies": 1,
    "num_reposts": 6,
    "posted_date": "Fri Aug 14 23:00:16 +0000 2026",
    "num_bookmarks": 4,
    "posting_source": "Twitter for iPhone",
    "company_twitter_url": "https://x.com/Qualcomm",
    "company_twitter_handle": "Qualcomm",
    "technologies_mentioned": [
      {
        "name": "Qualcomm Dragonwing",
        "status": "implemented"
      },
      {
        "name": "Snapdragon",
        "status": "building_on"
      },
      {
        "name": "Muse Glimmer LLM",
        "status": "integrated"
      }
    ],
    "company_twitter_dm_open": true,
    "company_twitter_location": "San Diego, CA",
    "company_twitter_verified": false,
    "company_twitter_followers": 441546,
    "company_twitter_following": 11419,
    "company_twitter_total_tweets": 18384,
    "company_twitter_account_created": "Fri Oct 23 15:55:15 +0000 2009",
    "company_twitter_verification_type": "Business"
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.