Advait ✓
@advait_jayant · n/a · joined 11 Jan 2022
we are infinitesimal in scale, but potentially immense in consequence. cso @opengradient (a16z-backed) priors: phd dropout @lbs, cs @bitspilaniindia
12 167Followers
2 257Following
7 800Posts total
216.3KViews on collected posts
Latest posts
Looking for new posts…
A nature documentary about the people who stand up forty minutes before boarding. https://t.co/VSUTqeUhbb
440 views · 4 likes
· 0 reposts · 3 replies
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0:51
the price of a hard drive i wanted to buy went up by $130 within a month…
its likely going higher
374 views · 1 likes
· 0 reposts · 0 replies
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When I was younger, I often faced "analysis paralysis".
I spent a lot of time mapping all the different options before committing to one.
I thought I was “careful”.
I have now learned action produces information.
The more action you take, the closer to the truth you are.
371 views · 9 likes
· 0 reposts · 1 replies
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TRANSLATION:
We’re already mining scientists’ prompts for ideas...
Now it’s time to get our hands on your company’s internal data too.
734 views · 10 likes
· 0 reposts · 2 replies
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@advaitjayant @peri_labs @PINAI_IO @spheron @AethirEdge @opentensor @gensynai @exolabs @getgrass_io @getmasafi @RingfenceAI 💚🙌
249 views · 8 likes
· 1 reposts · 0 replies
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9/ Want to read more? Dig into the report: https://t.co/iJ2YIyClIe
Bookmark the first tweet for reference ↓
https://t.co/yVj1ISNooy
2.4K views · 12 likes
· 1 reposts · 1 replies
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8/ We would love to give a big thank you to our supporters:
• @BeWaterOfficial for translating the report to Chinese
• @LucaProsperi for endless inspiration
• @svenwelly for constant feedback
• @richardmuirhead, @yoitsyoung, @ccatalini, @altantutar, @alexgedevani,
2.2K views · 23 likes
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7/ We present a landscape of web3 projects building towards edge AI:
• Inference: @crynuxai @exolabs @HyperspaceAI @infera_network @kuzco_xyz @PINAI_IO
Compute: @AethirCloud @AethirEdge @akashnet @opentensor @ionet @spheron
@KaisarNetwork @NetmindAi @nosana_ai @gpunet https://t
11.6K views · 63 likes
· 20 reposts · 8 replies
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6/ We believe that crypto can offer AI the ability to coordinate incentives between different actors trustlessly at an unprecedented scale.
Crypto also solves the problems of CapEx for edge AI infrastructure.
We are excited about opportunities on the intersection. https://t.co/
3.1K views · 20 likes
· 2 reposts · 1 replies
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5/ In this report, we present a big list of ideas and opportunities that builders can explore in the edge AI landscape.
We are very excited about the future prospects of edge AI. We fundamentally believe that edge AI will enable an entirely new class of innovation. https://t.co/
2.5K views · 21 likes
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4/ As we move forward, the benefits that AI brings are clear:
• Reduced Latency and Faster Response Times
• Enhanced Privacy and Data Security
• Lower Bandwidth Usage
• Improved Personalisation
• Reliability & Offline Capabilities https://t.co/OV6o9a59D6
2.6K views · 17 likes
· 1 reposts · 1 replies
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3/ Moore's Law states that the number of transistors on a microchip doubles every two years.
However, the rate of AI model growth is outpacing these improvements, leading to a gap between computational demand and supply.
(Insight from "PockEngine" by @songhan_mit et al) https:/
3.5K views · 16 likes
· 1 reposts · 1 replies
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2/ If you want to go straight to the report: https://t.co/iJ2YIyClIe
4.7K views · 31 likes
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With Apple Intelligence's release just around the corner, Edge AI will be the biggest narrative heading into 2025.
We (@peri_labs) have written a 250-page report to showcase:
• The Need for Edge AI
• Big Ideas
• Core Frameworks
Key ideas are in this thread ↓
(1/9) https://t.c
181.5K views · 459 likes
· 90 reposts · 54 replies
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Against accounts of the same size
4 posts from the last 90 days, next to the 10K–100K follower range. right around the median for its follower range.
Median views407this account924median for 10K–100K
Reach, %3.35%this account3.62%median for 10K–100K
Engagement, %1.68%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 407 | 924 | 0.44× |
| Reach (views ÷ followers) | 3.35% | 3.62% | 0.92× |
| Engagement rate | 1.68% | 1.52% | 1.11× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
181.5K10 Oct
4.7K
3.5K
2.6K
2.5K
3.1K
11.6K
2.2K
2.4K
24916 Oct
73410 Sep
37111 Sep
37413 Sep
44014 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.35%10 Oct
0.82%
0.51%
0.73%
1.00%
0.73%
0.80%
1.11%
0.58%
3.61%16 Oct
1.77%10 Sep
2.70%11 Sep
0.27%13 Sep
1.59%14 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes57.3%694 in total
Reposts9.9%120 in total
Replies6.5%79 in total
Quotes3.5%42 in total
Bookmarks22.8%276 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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