Ankit Jain 🚢

Research Manager @ Meta Superintelligence Labs ex- @Uber AI Labs.Angel Investor.

[Ankit Jain 🚢 @asj_ankit]

@MohapatraHemant @pratykumar @SarvamAI It was great to meet and connect. Thanks Hemant

[Mike Investing @MrMikeInvesting]

We are currently in a “once in a lifetime” AI super cycle…

Phase 1 was: (already gone)
Semiconductors ~ $NVDA, $AMD, $INTC, $ARM

Phase 2 is: (passing by now)
Memory ~ $MU, $SNDK, $WDC
Photonics ~ $AAOI, $AEHR, $LITE, $MRVL

The current phase is Neo Cloud/AI infrastructure:
$IREN, $NBIS, $CRWV, $CIFR, $APLD

Next wave (many will miss)
Rare Earths ~ $USAR, $MP, $UUUU, $FCX
Power & Cooling~ $VRT, $CEG, $OKLO, $OSS

Finally it all concludes with these 3 sectors:
Robotics ~ $TSLA, $PATH, $SERV
Space ~ $RKLB, $ASTS, $PL, $LUNR
Drones ~ $ONDS, $AVAV, $LMT

Many will make generational wealth from this AI super cycle over the next 7 months.

Save this to look back on later…

[Brian LaManna @BrianLaManna_]

Companies I'd consider going to if I ever had the urge to try something new.

1 Thinking Machines Lab
2 OpenAI
3 Anthropic
4 Cursor
5 Applied Intuition
6 Modal Labs
7 Decagon
8 Voyage AI
9 Cohere
10 Glean
11 LangChain
12 Ramp
13 Together AI
14 Fireworks AI
15 Cognition
16 Harvey
17 Scale AI
18 Warp
19 Hebbia
20 Rogo
21 Augment
22 Parallel Web Systems
23 Baseten
24 Brain Co.
25 Linear
26 Mercor
27 Mistral AI
28 Nuro
29 Adept
30 Vanta
31 Traversal
32 Metronome
33 ElevenLabs
34 Factory
35 Anyscale
36 Vannevar Labs
37 Abridge
38 The Browser Company
39 Reevo
40 Chalk
41 Nominal
42 Cartesia
43 Pinecone
44 Hex Technologies
45 Merge
46 Whatnot
47 Eventual
48 Faire
49 Arena
50 Bedrock Robotics

List courtesy of Paraform's Talent Density Rankings.

https://t.co/IvPW3sir9U

[Berryxia.AI @berryxia]

Stanford 这堂 2 小时 AI 系统构建课，直接把 Claude 所有教程和 Prompting Thread 秒了！

强烈推荐：
“比你刷过的所有 Claude 教程都实用 10 倍”

里面讲的不是 prompt 技巧，而是 Stanford 真正教工程师如何从零构建可靠 AI 系统的完整方法论。

周末就刷这一个，绝对是你这周最有生产力的事！

我已经将其翻译为中英 文双语视频直接戳这里👇

[Alexandr Wang @alexandr_wang]

okay this is too exciting :)

meta AI is now #2 in the app store, top AI app!

we are so back!

[Ankit Jain 🚢 @asj_ankit]

Amazing guide. Helped me a lot..

[jordy @jordymaui]

https://t.co/zFf6OgdaHX

[Ankit Jain 🚢 @asj_ankit]

Such a relevant piece of today. I do agree on top labs dissection that only few people are doing research but everyone else is doing evals/infra etc. though I would say those are also complex problems but maybe not as sexy

[Amy Tam @amytam01]

https://t.co/b9f99xbcMx

[Eyad @eyad_khrais]

https://t.co/Drd9T4nCMJ

[Rohit @rohit4verse]

https://t.co/laiGXZ5urV

[Rishabh Agarwal @agarwl_]

I recently gave a tutorial on knowledge distillation for LLMs, explaining the mathematical derivations behind the commonly used methods. Sharing the slides here given the recent interest in this topic.

https://t.co/u1LYcY4s7G

[Alexandr Wang @alexandr_wang]

We are excited to announce that @shengjia_zhao will be the Chief Scientist of Meta Superintelligence Labs!

Shengjia is a brilliant scientist who most recently pioneered a new scaling paradigm in his research. He will lead our scientific direction for our team.

Let's go 🚀

[Alexandr Wang @alexandr_wang]

I’m excited to be the Chief AI Officer of @Meta, working alongside @natfriedman, and thrilled to be accompanied by an incredible group of people joining on the same day.

Towards superintelligence 🚀

[Ankur Nagpal @ankurnagpal]

No one in America pays a higher tax rate than regular employees with a high W-2 salary

You make a lot of money but aren't rich enough to own a lot of assets

Here are 9 things you can do to pay less in taxes before the end of the year:

[Denny Zhou @denny_zhou]

What is the performance limit when scaling LLM inference? Sky's the limit.

We have mathematically proven that transformers can solve any problem, provided they are allowed to generate as many intermediate reasoning tokens as needed. Remarkably, constant depth is sufficient.

https://t.co/HO2seV73KT (ICLR 2024)

[Ankit Jain 🚢 @asj_ankit]

@karpathy In other words, without a simulation of the problem (unlike Go of chess) there is no way RL can be made to work. Great post

[Vivek Raghunathan @vivek7ue]

A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months.

We are going to build #SnowflakeArctic in the open

Model arch ablations, training and inference system performance, dataset and data composition ablations, post-training fun, big run stability, decontamination tricks, metric subtleties.

To start with the first two blogs in our cookbook, keep reading the 🧵below ...

[AI at Meta @AIatMeta]

Introducing Meta Llama 3: the most capable openly available LLM to date.

Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes.

Today's release includes the first two Llama 3 models — in the coming months we expect to introduce new capabilities, longer context windows, additional model sizes and enhanced performance + the Llama 3 research paper for the community to learn from our work.

More details ➡️ https://t.co/nFll4exicO
Download Llama 3 ➡️ https://t.co/Ps0OAHt0RR

[Bindu Reddy @bindureddy]

The complexity in building AI agents is actually making them work in real world environments!

Only 10% is about the LLMs and its reasoning ability

The rest is the painful heavy lifting in terms of code, data and memory.

Evaluation and ongoing monitoring is an added layer of complexity

It’s like a beautiful orchestra when it comes together

[Dan Go @CoachDanGo]

In my mid 20's to early 30's I dealt with chronic low back pain.

I went to a Chiropractor who told me I'd have to live with the pain & get adjustments for the rest of my life.

I said screw that, searched for a solution, and fixed my back.

Here's how I did it:

[Ankit Jain 🚢 @asj_ankit]

@dsiroker aeroplanes