25, applied researcher & technologist. on device model maxxing. building https://t.co/25TLHHPpct. publishing https://t.co/PJ38iC4XaW. community https://t.co/7tTyptKfRX.ankeshbharti.com Bengaluru, IndiaJoined May 2018
Now in preview: ChatGPT Pulse
This is a new experience where ChatGPT can proactively deliver personalized daily updates from your chats, feedback, and connected apps like your calendar.
Rolling out to Pro users on mobile today.
Matter's biggest-ever design refresh is here! 🖤
Matter has been rebuilt with Apple's Liquid Glass, using all native components for a cleaner, more cohesive look that lets your content shine.
In addition, we've simplified navigation (including giving Inbox its own tab),…
Another demo of the iPhone 17 Pro’s on-device LLM performance
This time with Ling mini 2.0 by @TheInclusionAI, a 16B MoE model with 1.4B active parameters running at ~120tk/s
Thanks to @awnihannun for the MLX DWQ 2-bit quants
this guy is malicious. opensource ftw. a reminder that
> not your Weights means eventually not the same Model btw
they can
> quantize it
> distill it
> hot-swap to a cheaper/weaker checkpoint
> make the model manipulative
> fine-tune it in ways that break safety or depth
>…
this guy is malicious. opensource ftw. a reminder that
> not your Weights means eventually not the same Model btw
they can
> quantize it
> distill it
> hot-swap to a cheaper/weaker checkpoint
> make the model manipulative
> fine-tune it in ways that break safety or depth
>…
iPhone 17 inference benchmarks blog is live!
Link in comments.
Teaser: iPhone 17 Pro's new cooling system works so well that even sustained GPU inference can't heat it up in our tests.
iPhone 17 inference benchmarks blog is live!
Link in comments.
Teaser: iPhone 17 Pro's new cooling system works so well that even sustained GPU inference can't heat it up in our tests. https://t.co/944np5FIKr
I reverse-engineered @interaction's Poke and figured out why it feels so magical.
Introducing OpenPoke —an open-source implementation you can run locally.
🧵 on the multi-agent architecture and memory:
top 3 base SLMs:
1. Qwen 3 Next 80B- A3B
2. Gemma 3n E4B
3. LFM 2 1.2B
top 3 specialised SLMs (first two using Qwen 4B thinking, and third Qwen Coder 2.5 7B model as base):
1. Jan series (for MCP tool calls and web search)
2. Dria mem agent (for memory)
3. Continue Instinct…
Be the first to use Matthew McConaughey's dream AI tool: a totally private model that thinks like you across everything you do.
workshoplabs.ai/waitlist/
We'll see you in a few weeks...
Be the first to use Matthew McConaughey's dream AI tool: a totally private model that thinks like you across everything you do.
workshoplabs.ai/waitlist/
We'll see you in a few weeks...
grounded image-generation llms like @perceptroninc’s isaac and @moondreamai appear to represent the next generation of model packaging formats. at the roughly 2b scale, their visual reasoning capabilities are often underestimated, as the saying goes, a picture is worth a thousand…
the personal ai gang is assembling: @ChatGPTapp for deep research, @interaction poke for daily tasks, @yutori_ai scouts for tracking on web, and @comet for browsing 🙂
Happy iPhone performance benchmarking day to those who celebrate!
Incoming on-device inference benchmarks:
Devices
- iPhone 16 Pro vs 17 Pro
- iPhone 17 Air vs 17 Pro
Models
- @OpenAI Whisper Large v3 Turbo
- @NVIDIAAI Parakeet v3
- @pyannoteAI v3
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