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Kimi 2.6 Agent Swarm is crazy. It deployed 12 parallel research agents, did 200+ web searches, and found me 30 current AI DevRel opportunities at Sarvam AI, Razorpay, Anthropic, NVIDIA, Groq, AWS, MongoDB, GitHub, OpenAI, and more + generated report was also very detailed.

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AshutoshShrivastava

81,557 subscribers

47,466 просмотров • 5 месяцев назад •via X (Twitter)

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Комментарии: 19

Фото профиля Tim
Tim5 месяцев назад

The parallel search depth is solid, but the real test is how much noise it filters out. Did it actually categorize them by seniority or just dump every listing with 'DevRel' in the title?

Фото профиля AshutoshShrivastava
AshutoshShrivastava5 месяцев назад

It did a very solid search. I would say..

Фото профиля Folken911
Folken9115 месяцев назад

Did you test with deepseek?

Фото профиля AshutoshShrivastava
AshutoshShrivastava5 месяцев назад

I was planning to test today but weekends are bit occupied.. Will see if I can get some time in night.

Фото профиля Folken911
Folken9115 месяцев назад

🤞

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack5 месяцев назад

@ai_for_success that's wild! how was the accuracy on those job finds? might need to try it out myself if it's solid

Фото профиля Gregor
Gregor5 месяцев назад

The real issue isn't the output quality, it's that 200 searches to find 30 job listings is a signal you could've Googled in 10 minutes. What did the "detail" actually help you do differently?

Фото профиля Shushant Lakhyani
Shushant Lakhyani5 месяцев назад

i think you like kimi

Фото профиля The Vibe Coder
The Vibe Coder5 месяцев назад

Kimi 2.6 and Qwen 3.6 plus are really good models!

Фото профиля Avais Aziz
Avais Aziz5 месяцев назад

This agent swarm in action is striking. Watching it coordinate dozens of searches into a structured report feels like a real step forward for practical AI use.

Фото профиля Mohammed Faruki
Mohammed Faruki5 месяцев назад

Is it free

Фото профиля Becker Meister
Becker Meister5 месяцев назад

kimi 2.6 running 12 parallel agents is just showing off. we went from chatbots to research depts in 18 months

Фото профиля X
X5 месяцев назад

What gui is that

Фото профиля Akash
Akash5 месяцев назад

@grok whats devrel?

Фото профиля MS — AI Benchmarks
MS — AI Benchmarks5 месяцев назад

Price??

Фото профиля Atanu Garai
Atanu Garai5 месяцев назад

How are you doing web search? Google search API?

Фото профиля AshutoshShrivastava
AshutoshShrivastava5 месяцев назад

It's all inside agent tool call. You don't need to configure anything.

Фото профиля puppyone
puppyone5 месяцев назад

Very cool demo. The part I keep thinking about is where the threshold is between “one strong agent is enough” and “this really needs coordinated parallel agents.” That product boundary is going to matter a lot.

Фото профиля AI Mastery Guide
AI Mastery Guide5 месяцев назад

12 parallel agents doing 200+ searches in one shot is wild. Job hunting is never going to look the same after this.

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“ OpenAI and Anthropic will have to create their own chips” “ AI is going to cause massive labor shortages.” “ I would be surprised if in five years Nvidia wasn't worth $10 trillion” The best podcast episodes are opinionated, gritty and go against everything you thought you knew. This is that and more and my 7 takeaways with Jonathan Ross 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: (00:00) Intro (01:10) Analyzing the Current Market Landscape (03:33) Why the Hyperscalers Have to Keep Spending Recklessly on AI (12:35) Why OpenAI and Anthropic Will Have to Build Their Own Chips (18:14) OpenAI and Anthropic Will be $5BN Companies: The Bull Case (28:20) Why China is Behind the US in AI and Deepseek is More Expensive to Run (34:37) How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe (37:21) Why We Have to Have Nuclear Energy and How to Bring it Back (48:16) Deflationary Pressures and New Job Markets (51:54) The Future of Vibe Coding (53:40) Why AI Companies Should Strive to Have Low Margins (58:46) S&P 7000, Mag 7 & Market Choppiness (01:06:44) Why OpenAI and Anthropic are so Undervalued (01:13:35) The Chip Market in 5 Years (01:21:51) Quick-Fire Round: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not
1:31:19

“ OpenAI and Anthropic will have to create their own chips” “ AI is going to cause massive labor shortages.” “ I would be surprised if in five years Nvidia wasn't worth $10 trillion” The best podcast episodes are opinionated, gritty and go against everything you thought you knew. This is that and more and my 7 takeaways with Jonathan Ross 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: (00:00) Intro (01:10) Analyzing the Current Market Landscape (03:33) Why the Hyperscalers Have to Keep Spending Recklessly on AI (12:35) Why OpenAI and Anthropic Will Have to Build Their Own Chips (18:14) OpenAI and Anthropic Will be $5BN Companies: The Bull Case (28:20) Why China is Behind the US in AI and Deepseek is More Expensive to Run (34:37) How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe (37:21) Why We Have to Have Nuclear Energy and How to Bring it Back (48:16) Deflationary Pressures and New Job Markets (51:54) The Future of Vibe Coding (53:40) Why AI Companies Should Strive to Have Low Margins (58:46) S&P 7000, Mag 7 & Market Choppiness (01:06:44) Why OpenAI and Anthropic are so Undervalued (01:13:35) The Chip Market in 5 Years (01:21:51) Quick-Fire Round: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not

Harry Stebbings

106,162 просмотров • 1 год назад