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# ![@Marktechpost Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::717930546391687170.png) @Marktechpost Marktechpost AI Dev News ⚡

Marktechpost AI Dev News ⚡ posts on X about ai, $googl, apple, microsoft the most. They currently have XXXXX followers and 1408 posts still getting attention that total XXX engagements in the last XX hours.

### Engagements: XXX [#](/creator/twitter::717930546391687170/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::717930546391687170/c:line/m:interactions.svg)

- X Week XXXXX -XX%
- X Month XXXXXX -XX%
- X Months XXXXXXX +102%
- X Year XXXXXXX -XXXX%

### Mentions: X [#](/creator/twitter::717930546391687170/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::717930546391687170/c:line/m:posts_active.svg)

- X Month XX -XX%
- X Months XXX +25%
- X Year XXX -XXXX%

### Followers: XXXXX [#](/creator/twitter::717930546391687170/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::717930546391687170/c:line/m:followers.svg)

- X Week XXXXX +0.19%
- X Month XXXXX +0.61%
- X Months XXXXX +9.30%
- X Year XXXXX +29%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::717930546391687170/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::717930546391687170/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[stocks](/list/stocks)  [technology brands](/list/technology-brands) 

**Social topic influence**
[ai](/topic/ai), [$googl](/topic/$googl), [apple](/topic/apple), [microsoft](/topic/microsoft)

**Top accounts mentioned or mentioned by**
[@microsoft](/creator/undefined) [@nvidia](/creator/undefined) [@nvidiaai](/creator/undefined) [@sfresearch](/creator/undefined) [@aiatmeta](/creator/undefined) [@googleai](/creator/undefined) [@msftresearch](/creator/undefined) [@googledeepmind](/creator/undefined) [@openai](/creator/undefined) [@alibabaqwen](/creator/undefined) [@msftnews](/creator/undefined) [@ibm](/creator/undefined) [@huggingface](/creator/undefined) [@googleaidevs](/creator/undefined) [@mistralai](/creator/undefined) [@ibmresearch](/creator/undefined) [@awscloud](/creator/undefined) [@stanford](/creator/undefined) [@bytedancetalk](/creator/undefined) [@deepseekai](/creator/undefined)

**Top assets mentioned**
[Alphabet Inc Class A (GOOGL)](/topic/$googl) [Microsoft Corp. (MSFT)](/topic/microsoft)
### Top Social Posts
Top posts by engagements in the last XX hours

"Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for CompressionNative RAG with 16x128x Semantic Document Compression Apple Researchers Release CLaRa-7B a continuous latent reasoning framework that replaces raw documents with learned memory tokens and unifies retrieval and generation in a shared embedding space. A Mistral-7B backbone with LoRA adapters and SCP pretraining on 2M Wikipedia passages delivers 4x128x semantic compression while improving average F1 over LLMLingua-2 by up to XXXXX points in Oracle settings and even outperforming BGE + full-text RAG reaching"  
[X Link](https://x.com/Marktechpost/status/1997043711247896675)  2025-12-05T20:41Z 9993 followers, 6429 engagements


"Microsoft AI Releases VibeVoice-Realtime: ALightweight RealTimeText-to-Speech Model SupportingStreaming Text InputandRobust Long-Form Speech Generation Microsoft has releasedVibeVoice-Realtime-0.5B a real time text to speech model that works with streaming text input and long form speech output aimed at agent style applications and live data narration. The model can start producing audible speech in about XXX ms which is critical when a language model is still generating the rest of its answer. Where VibeVoice Realtime Fits in the VibeVoice Stack VibeVoice is a broader framework that focuses"  
[X Link](https://x.com/Marktechpost/status/1997540595968229382)  2025-12-07T05:36Z 9993 followers, XXX engagements


"Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs LiteRT NeuroPilot Accelerator is Google and MediaTeks integrated stack for running open weight models such as Qwen3 0.6B Gemma X 270M Gemma X 1B Gemma 3n E2B and EmbeddingGemma 300M directly on MediaTek Dimensity NPUs. It combines LiteRTs Compiled Model API AOT or on device compilation and Play for On device AI distribution so developers can target Accelerator.NPU with a single code path achieve up to XX times throughput over CPU and XX times over GPU and ship low latency on device"  
[X Link](https://x.com/Marktechpost/status/1998458656992723008)  2025-12-09T18:24Z 9993 followers, XXX engagements


"@googleaidevs @MediaTek"  
[X Link](https://x.com/Marktechpost/status/1998458678475632985)  2025-12-09T18:24Z 9993 followers, XX engagements