Tushar Goyal

co-founder at Waybill (YC S'26) / resident @lossfunk / csai @PlakshaUniv

[Tushar Goyal @thetushargoyal]

@thrvswnt apply to https://t.co/Nw6An0lqZO

[Tushar Goyal @thetushargoyal]

@sohampetkar @cursor_ai sadly no :(

[Tushar Goyal @thetushargoyal]

one of the best tech events I have ever attended. Kudos to the @cursor_ai team!

[Tushar Goyal @thetushargoyal]

@mattshumer_ @biraj21_

[Tushar Goyal @thetushargoyal]

@cursor_ai @a16z

Great hackathon. Great vibes.

builder energy was infectious in the room. A 13-year-old took first place.

[Tushar Goyal @thetushargoyal]

@cursor_ai @a16z

Great hackathon. Great vibes.

builder energy was infectious in the room. A 13-year-old took first place.

[Tushar Goyal @thetushargoyal]

before AI eats all of software, it’s gonna eat bay area public transport ✨

[Tushar Goyal @thetushargoyal]

@benln @KellehEyad Applied a while back for Cafe Cursor SF (10 Jun' 26), still hoping to make the guest list 👀

[Sam Altman @sama]

i'm hopeful for a future where people who want to work really hard have incredibly fulfilling things to do, and people who don't want to work hard don't have to and can still have an amazing life of prosperity.

[Tushar Goyal @thetushargoyal]

@RonNachum @sama @biraj21_

[Tushar Goyal @thetushargoyal]

@RaviKondeti07 interested!

[Tushar Goyal @thetushargoyal]

@thedevchandra accelerator

[Tushar Goyal @thetushargoyal]

@SheCallsMeAddy @vercel @v0 need em too! thanks

[Tushar Goyal @thetushargoyal]

@biraj21_ cancel the mandate on your card...

[Tushar Goyal @thetushargoyal]

@gmail saving me from the embarrassment. thanks.

[Paras Chopra @paraschopra]

AI bois be like:

[Dhruv @dhruvtwt_]

Why is no one talking about this?

@nvidia is offering around 80 AI models via hosted APIs absolutely for free.

You get access to MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, Sarvam-M etc.

This plugs straight into OpenClaude, OpenCode, Zed IDE, Hermes agent and even with Cursor IDE.

Setup:
– Grab API key: https://t.co/Wfdclm0hY2
– base_url = "https://t.co/VOGC10LmGP"
– api_key = "$NVIDIA_API_KEY"
– select model (e.g. minimaxai/minimax-m2.7)

If you’re building or experimenting, this is basically free inference.

Lock in and start building today anon.

Thank me later.

[Tushar Goyal @thetushargoyal]

has anyone tried this?

[Aksel @akseljoonas]

Introducing ml-intern, the agent that just automated the post-training team @huggingface

It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem.

It can pull off crazy things:

We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%.

In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%.

For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on https://t.co/udm7xGpNzR, watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously.

How it works?

ml-intern makes full use of the HF ecosystem:
- finds papers on arxiv and https://t.co/brvCC7fLPa, reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on https://t.co/hrJuRkRyzi
- browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data
- launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains

ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like.

Releasing it today as a CLI and a web app you can use from your phone/desktop.
CLI: https://t.co/l3K1PslZ1n
Web + mobile: https://t.co/orko5srL4H

And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.

[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

[Tushar Goyal @thetushargoyal]

@Rishi2220 JEE exam centre vibes haha