thefirehacker's profile picture. Founder-AI Researcher. Building BubblSpace & Timecapsule

FireHacker

@thefirehacker

Founder-AI Researcher. Building BubblSpace & Timecapsule

Fissato

🔥1+ month of effort and first signs of success! Final Product: TimeCapsule-SLM An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas . Privacy first local Deep Research. 👽…

thefirehacker's tweet image. 🔥1+ month of effort and first signs of success!
Final Product: TimeCapsule-SLM
 An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas .  Privacy first local Deep Research.

👽…
thefirehacker's tweet image. 🔥1+ month of effort and first signs of success!
Final Product: TimeCapsule-SLM
 An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas .  Privacy first local Deep Research.

👽…
thefirehacker's tweet image. 🔥1+ month of effort and first signs of success!
Final Product: TimeCapsule-SLM
 An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas .  Privacy first local Deep Research.

👽…
thefirehacker's tweet image. 🔥1+ month of effort and first signs of success!
Final Product: TimeCapsule-SLM
 An Open Source Deepresearch that works in browser with Qwen 3 0.6b(ollama) that has semantic understanding , provide insights & generate novel ideas .  Privacy first local Deep Research.

👽…

Repost di FireHacker

A spectacular win by the Indian team in the ICC Women’s Cricket World Cup 2025 Finals. Their performance in the final was marked by great skill and confidence. The team showed exceptional teamwork and tenacity throughout the tournament. Congratulations to our players. This…


Repost di FireHacker

DY Patil crowd cheering up Laura Wolvaardt for her heroics. 👏

mufaddal_vohra's tweet image. DY Patil crowd cheering up Laura Wolvaardt for her heroics. 👏

Repost di FireHacker

India 🇮🇳 wins the Women's World Cup 2025 🎉

RichKettle07's tweet image. India 🇮🇳 wins the Women's World Cup 2025 🎉

Repost di FireHacker

A photographer in southern Spain captured what is believed to be the first-ever white Iberian lynx, a leucistic big cat so rare it seems almost mythical. Already one of the world’s rarest cats, the Iberian lynx was pulled back from the brink of extinction after its population…


Repost di FireHacker

🎉 Congrats to @Kimi_Moonshot! vLLM Day-0 model expands! Now supporting Kimi Linear — hybrid linear attention with Kimi Delta Attention(KDA): - RULER 128k context: 84.3 perf + 3.98× speedup - Up to 6× faster decoding & 6.3× faster TPOT (1M tokens) - 75% KV cache reduction 💡…

vllm_project's tweet image. 🎉 Congrats to @Kimi_Moonshot! vLLM Day-0 model expands! Now supporting Kimi Linear — hybrid linear attention with Kimi Delta Attention(KDA):

- RULER 128k context: 84.3 perf + 3.98× speedup
- Up to 6× faster decoding & 6.3× faster TPOT (1M tokens)
- 75% KV cache reduction

💡…

Kimi Linear Tech Report is dropped! 🚀 huggingface.co/moonshotai/Kim… Kimi Linear: A novel architecture that outperforms full attention with faster speeds and better performance—ready to serve as a drop-in replacement for full attention, featuring our open-sourced KDA kernels! Kimi…



Repost di FireHacker

Well, training and inference have converged due to the reasoning paradigm When an inference data center has low utilization (at night and weekends) It can be used for RL rollouts to generate training data

Thought this was important color too. Even a year ago, people assumed that it was either a training data center or inference as the infra looks different. Increasingly, the hyperscalers are building with flexibility & modernization in mind. Satya on the MSFT call: "One is how…

ShanuMathew93's tweet image. Thought this was important color too. Even a year ago, people assumed that it was either a training data center or inference as the infra looks different. Increasingly, the hyperscalers are building with flexibility & modernization in mind.

Satya on the MSFT call: "One is how…


Repost di FireHacker

Kimi Linear Tech Report is dropped! 🚀 huggingface.co/moonshotai/Kim… Kimi Linear: A novel architecture that outperforms full attention with faster speeds and better performance—ready to serve as a drop-in replacement for full attention, featuring our open-sourced KDA kernels! Kimi…


Repost di FireHacker

The greatest scorecard in the history of cricket 🏏 As this is the most successful run-chase in the history of icc knockout match (men's and women's both) India 🇮🇳 beat the invincible Australian women's 🔥

RichKettle07's tweet image. The greatest scorecard in the history of cricket 🏏 

As this is the most successful run-chase in the history of icc knockout match (men's and women's both)

India 🇮🇳 beat the invincible Australian women's 🔥

Repost di FireHacker

Jemimah Rodrigues in tears after receiving player of the match award 👏🏻

RichKettle07's tweet image. Jemimah Rodrigues in tears after receiving player of the match award 👏🏻
RichKettle07's tweet image. Jemimah Rodrigues in tears after receiving player of the match award 👏🏻

Repost di FireHacker

#Final, 𝗛𝗘𝗥𝗘 𝗪𝗘 𝗖𝗢𝗠𝗘! 🇮🇳 #TeamIndia book their spot in the #CWC25 final on a historic Navi Mumbai night! 🥳👏 Scorecard ▶ bit.ly/INDWvAUSW-2nd-… #WomenInBlue | #INDvAUS

BCCIWomen's tweet image. #Final, 𝗛𝗘𝗥𝗘 𝗪𝗘 𝗖𝗢𝗠𝗘! 🇮🇳

#TeamIndia book their spot in the #CWC25 final on a historic Navi Mumbai night! 🥳👏

Scorecard ▶ bit.ly/INDWvAUSW-2nd-…

#WomenInBlue | #INDvAUS

Repost di FireHacker

LLMs are injective and invertible. In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space. (1/6)

GladiaLab's tweet image. LLMs are injective and invertible.

In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space.

(1/6)

Repost di FireHacker

One year at OpenAI today ... It has been quite a ride, even more exciting than I expected! I joined as GPT-4.5 was being prepared, got some minor action on o3, and dove deeper for GPT-5. Being a spectator to the multi-modal releases (sora-1, imagegen, sora-2) was also absolutely…


Repost di FireHacker

Multi-splat object LOD test in sparkjs. 7 AI generated worlds, 12.5m total splats. Pretty consistent 120 fps on my laptop.


Repost di FireHacker

Adaptable Intelligence. Multiple possible paths to an objective.


Repost di FireHacker

$META call is live. Zuck says he will overbuild for the most optimistic case around Superintelligence. That means they will likely spend at a rate faster than Google, Microsoft and Amazon. That’s also how the Street is modeling our Capex for those companies with Meta up…


Repost di FireHacker

I'd put good money on this being an high-impact finetune of one of the large, Chinese MoE models. I'm very excited to see more companies able to train models that suit their needs. Bodes very well for the ecosystem that specific data is stronger than a bigger, general model.

Introducing Cursor 2.0. Our first coding model and the best way to code with agents.



Repost di FireHacker

Just submitted my resignation from Meta. Some might say that ~one year at the company is not that long, but I survived like three rounds of layoffs, so I think it’s fair play. For what it's worth, my team is great and it was an overall positive experience. But there are other,…


Repost di FireHacker

the best thing to drop this entire month. this information is useful in a myriad of ways.

LLMs are injective and invertible. In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space. (1/6)

GladiaLab's tweet image. LLMs are injective and invertible.

In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space.

(1/6)


Open AI Interview process described in this video ✅ Interview Rounds: 4 major rounds 1. Recruiter / Initial Screen 2. Technical Phone Screen or Skills-Assessment 3. On-site / Final Loop 4. (For Some Roles) Additional or Variant Rounds For research roles, you may see a dedicated…

thefirehacker's tweet image. Open AI Interview process described in this video
✅ Interview Rounds: 4 major rounds 
1. Recruiter / Initial Screen
2. Technical Phone Screen or Skills-Assessment
3. On-site / Final Loop
4. (For Some Roles) Additional or Variant Rounds
For research roles, you may see a dedicated…

Repost di FireHacker

The perfect controller does exist

NarutoDaily_'s tweet image. The perfect controller does exist

Loading...

Something went wrong.


Something went wrong.