JC

CS @UofIllinois

[alphaXiv @askalphaxiv]

Introducing autoresearch for arXiv papers

Change 'arxiv' to 'autoarxiv' in any paper URL

An agent deploys to resolve setup issues on the codebase, run a minimal reproduction, and estimate full replication cost. Read more below

[JC @_jchandra]

@OfficialSBICare has been spamming me for 4 days straight to join a meeting on January 1, 1970, at 5:30 AM.

Classic Unix Epoch time bug . A basic sanity check in a non-prod environment would’ve caught this instantly.
#SBI

[Haider. @haider1]

Yann LeCun says LLMs are strongest in domains where language itself is the substrate of reasoning, like math and code

They can solve problems, prove theorems, and write programs — but they are not creative mathematicians, software architects, or computer scientists

"their role is to help humans build"

[Ivan Landabaso @IvanLandabaso]

Startup sales gold:

[Hayden Prairie @hayden_prairie]

We’ve been thinking a lot about scaling laws, wondering if there is a more effective way to scale FLOPs without increasing parameters.

Turns out the answer is YES – by looping blocks of layers during training. We find that predictable scaling laws exist for layer looping, allowing us to use looping to achieve the quality of a Transformer twice the size.

Our scaling laws suggest that for a fixed parameter budget, data and looping should be increased in tandem!

🧵👇

[JC @_jchandra]

@MichLieben ads

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[Kimi.ai @Kimi_Moonshot]

Meet Kimi K2.6: Advancing Open-Source Coding

🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)

What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
-
K2.6 is now live on https://t.co/YutVbwktG0 in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code: https://t.co/uvoSJKyGCY
-
🔗 API: https://t.co/EOZkbOwCN4
🔗 Tech blog: https://t.co/9wWvgIQSS3
🔗 Weights & code: https://t.co/Be0hjs2RTP

[JC @_jchandra]

@samuelcolvin @pydantic Hey @samuelcolvin! I think I found something but might be wrong. Was able to read a file that maybe shouldn't be accessible? I have submitted the form.

[JC @_jchandra]

KV cache is becoming the bottleneck in LLM inference.
Most approaches drop tokens.

I tried: compress instead.

Built a prototype using entropy + OLS + SVD

Not production-ready, but promising results 👇
https://t.co/uS0iQ7RMcJ

Would love feedback - where would this break?

[RAHUL @RahulSeeker]

Chudiyan inqilab layengi. ❤️‍🔥
#GargiCollege #ABVP

[Alok Sharma @Aloksharmaaicc]

Bro Humbled Them🙌🏻🔥🔥🔥

[JC @_jchandra]

@markoilico Would like to check out.

[Rohit @rohit4verse]

Anthropic locked this behind a partner program.
This guy reverse-engineered the whole thing.
And gave it for free.

[JC @_jchandra]

@NayrhitB @SusquehannaVC @LightspeedIndia @BCapitalGroup @beenextVC @sparrowcapvc @2point2club deck

[JC @_jchandra]

@rahulluthra22 Yes please

[Mindset Machine  @mindsetmachine]

Such a fun way of explaining calories in, calories out 👇

[JC @_jchandra]

@immad Global trade for SMB exporters is broken with fragmented tools, slow verification, and trust gaps that kill most deals. Trad fixes this with one AI-native platform for live buyer verification and instant financing, helping exporters close faster with confidence.

[JC @_jchandra]

@frido_official @grok @grok here is the product, pick me

[JC @_jchandra]

@nothing @grok Nothing Phone (3) .. pick me