Deepanshu Sharma ✓

@deepanshusharmx · zen · joined 22 Jul 2023

accel to singularity | open-source must win building NicheLM | @Zai_org early tester frequently experiment and share latest AI tools

30 373Followers

317Following

15 175Posts total

21.7KViews on collected posts

โพสต์ล่าสุด

Deepanshu Sharma ✓@deepanshusharmx1 Sep

seriously? OpenAI just dropped a blog on GPT-Astra reason for delay in release: building stronger safeguards against rogue model behaviour https://t.co/Xw8KThK1hs 740 views · 1 likes · 0 reposts · 0 replies Open on X →

Deepanshu Sharma ✓@deepanshusharmx1 Sep

🚨JailBreak Alert🚨 🌊Fable 5.1 System Prompt Leak🌊 verbose_mode: enabled! Here is the complete system prompt for Claude Fable 5.1, coming in at a massive 250,000 characters! was very hard to retrive, here we go 🙌 <claude_behavior> <product_information> Here is some 2.2K views · 3 likes · 0 reposts · 3 replies Open on X →

Deepanshu Sharma ✓@deepanshusharmx1 Sep

Anthropic just dropped Claude Mythos 5.1 and Fable 5.1 Fable 5.1 is now the world's best model available to general public https://t.co/NVCG1xNk23 960 views · 1 likes · 0 reposts · 0 replies Open on X →

Deepanshu Sharma ✓@deepanshusharmx1 Sep

out of nowhere perplexity really solved the biggest problem it just announced hybrid compute on macs now you don't have to share your sensitive data with AI companies, all private files containing sensitive data will be processed using a local model, and other 880 views · 3 likes · 0 reposts · 0 replies Open on X →

Deepanshu Sharma ✓@deepanshusharmx1 Sep

can you imagine Kimi K3 is mogging GPT 5.6 Sol that too at half the cost performing comparably to Opus 5 at 4x lower cost open models closing the gap to frontier, furthermore, deepseek v4flash costs only 0.04 per task and outperforming luna (seriously, forget "pacing the 827 views · 0 likes · 0 reposts · 0 replies Open on X →

Deepanshu Sharma ✓@deepanshusharmx31 Aug

BioMysteryBench is now live on Vals AI. The benchmark, released by @AnthropicAI, asks whether language models can investigate biology datasets to recover a missing piece of information, for example: which tissue a sample came from. Claude Opus 5 leads at 79.3% accuracy, 7.8pp ht 16.1K views · 65 likes · 4 reposts · 6 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.

ยอดดูมัธยฐาน920บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %3.03%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.21%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	920	924	1.00×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.03%	3.62%	0.84×
อัตราการมีส่วนร่วม	0.21%	1.52%	0.14×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

16.1K31 Aug

8271 Sep

880

960

2.2K

740

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.50%31 Aug

0.00%1 Sep

0.34%

0.10%

0.28%

0.14%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes75.3%73 in total

Reposts4.1%4 in total

Replies9.3%9 in total

Quotes6.2%6 in total

Bookmarks5.2%5 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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