mu-ne

19 | prev ai intern | ml researcher

[NewInML @ NeurIPS 2026 @NewInML]

How do we choose which problems are worth working on? @maksym_andr has great answers to this question.

[mu-ne @eigenvalss]

I reserved numbered card #1250 of 10,000 on https://t.co/8MUPsbyJSW. Grab yours: https://t.co/P0FYq4uce0

[Suraj Sharma @suraj_sharma14]

A fully funded 3-month program designed for researchers looking to work on AI alignment with world-class mentors.

The @pibbssai Fellowship is now accepting applications.

What you get:
• $3,000/month stipend
• Free accommodation, meals and return flights
• 1:1 mentorship from AI safety researchers
• A chance to work on your own research project
• Alumni network across Anthropic, Google, Oxford, Harvard, Epoch, FAR AI and more

Deadline: July 20, 2026

apply: https://t.co/B3pgcW43w8

[sankalp @dejavucoder]

yes that guy

[Alisa Liu @alisawuffles]

I'm joining OpenAI next week!🥹 The job search turned out to be really challenging but also super rewarding, so I wrote a small blog to share what I learned along the way and hopefully make the process a little less mysterious for the next person. https://t.co/6FigSBdenD

[mu-ne @eigenvalss]

@GoodfireAI Would you come to EMNLP 2026?!

[vivek @itsreallyvivek]

https://t.co/ZhOgyq7Vgn

[mu-ne @eigenvalss]

@boardyai @andrewdsouza building edge ML systems and retrieval agents that actually run on-device, currently hunting for a high-ownership Summer 2026 internship where i can ship real work. need Boardy Pro for this

[vivek @itsreallyvivek]

I made a free guide to AI fellowships, for anyone early in AI who keeps hearing "apply to a fellowship" without ever being told which one, for what, or how.

Here's what's in it.

https://t.co/TyIuD33DdV

[Silvia Sapora @silviasapora]

After interviewing for Research Scientist roles at DeepMind, Isomorphic, Meta, Cohere and more, I wrote up everything I learned. Technical prep, logistics, negotiation, and emotional breakdowns. Check out my guide: https://t.co/eLh20ggMHW

[Ilir Aliu @IlirAliu_]

ETH Zurich just open-sourced their entire 2026 robot learning course.

Not a MOOC. The actual course. Slides, lecture recordings, coding assignments, GitHub repo.

The curriculum goes from imitation learning and RL all the way to Vision-Language-Action models and foundation models for robotics.

Guest lectures from the co-founder of Physical Intelligence. The creator of Diffusion Policy. Pieter Abbeel. Dieter Fox.

12 weeks. Free. No signup.

If you want to understand where robot intelligence is actually heading… this is the reading list the field is using right now.

📍[https://t.co/eKsIjILi60]

——

Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3

[mu-ne @eigenvalss]

@lanceyyan nothing you could do about it

[Thariq @trq212]

https://t.co/MXt5XS4xBX

[mu-ne @eigenvalss]

@morganlinton yess pls

[Alexander Whedon @alex_whedon]

Introducing SubQ - a major breakthrough in LLM intelligence.

It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),

And the first frontier model with a 12 million token context window which is:

- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus

Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).

Only a small fraction actually matter.

@subquadratic finds and focuses only on the ones that do.

That's nearly 1,000x less compute and a new way for LLMs to scale.

[mu-ne @eigenvalss]

@juliali @birdabo @sama fr

[The Boring Company @boringcompany]

Construction mobilization for Dubai Loop! Step 1 is activating precast concrete segment production.

[Founders Inc @fdotinc]

this is a lecture on how to hunt for investors, cofounders & new hires

complete breakdown:

00:00 8 billion people don't know you exist
00:24 No one knows you. No one cares.
01:09 Stop being a farmer
01:51 The one thing all great hunters share
02:10 How I got my co-founder in 30 seconds
03:30 You + them = 3 people
05:36 Missionaries vs mercenaries
10:31 Why you have to be generous with equity
12:35 The right vesting schedule
13:17 Always trial before you commit
14:19 The 9-to-5 specialist red flag
15:05 Why logos mean nothing
17:46 Hunt them on GitHub
19:37 Niche Discords and subreddits
20:58 Why paid referrals work
22:10 Hiring friends: the trap
24:39 Why advisors are bullshit
31:29 Should you raise at all?
35:06 Investors only buy growth stories
35:58 Fundraising is running an auction
37:36 The luck factor (and Twitter lies)
39:33 Angels vs VCs
47:21 The hierarchy: inbound > warm > cold
48:00 Never ask a VC for intros if they pass
48:59 The double opt-in rule
52:32 Fundraising is a full-time job
53:33 Why a 4-week VC chat is a "no"
56:22 The leverage trick
01:00:24 Fundraising advisors = scam
01:02:21 The one trait of every great founder
01:03:18 Your homework: a list of 100

[Founders Inc @fdotinc]

how to cold DM anyone: complete basics

00:00 Why I love cold emails
02:36 Inbound vs creating your own luck
03:52 Should you use AI to write your DMs?
04:33 The 5-part subject line rubric
06:13 The cold email Mark Cuban replied to
12:18 The Lovable email everyone responds to
13:18 You want a hell yes or a no
13:39 The hedge that kills your reply rate
14:29 Leading with negative curiosity
18:10 Optimize your email for someone's AI inbox
19:59 Pop quiz: which subject line do you reply to?
22:38 If you want an investor to open it, mention another investor
27:25 Match the message to the GP, not the analyst
35:08 "yo bro wanna collab" is terrible
35:48 Your message is way too long
36:24 Burying your ask
38:30 Following up after a hard no
39:37 The mistake of making it all about you
40:18 Email Bible vs Twitter Bible vs LinkedIn Bible
40:40 Set a rule
42:07 Personalization?
43:28 The 3 questions to answer before sending

[Warp @warpdotdev]

Warp is now open-source.