Yam Peleg Profile picture
Jan 24 โ€ข 11 tweets โ€ข 3 min read โ€ข Read on X
Gazans going crazy when realizing there are Muslims in the IDF

A Thread ๐Ÿงต๐Ÿ‘‡ Image
"Are these Muslims like us or what is their religion exactly?"Image
"I knew there were arabs in their country that were drafted to the occupation army, but I didn't know their families knew about it and that if they die, their family pray on them like an ordinary Muslim!! !!!"Image
"I wish it would be found that this is AI"Image
"Glitch in the matrix"Image
"The worse thing I had ever seen in my life"Image
Image
"We should redefine the arabs in israel as far as possible from the story of palestine, they all serve the zionists institutes"Image
"I am sure this year will end and I won't see a stranger sight than this"Image
"All the logic of the universe can not explain the contradictions in this picture"Image
Credit:

All based on the original Hebrew thread by @WachtelDan

Original Hebrew post:

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More from @Yampeleg

Aug 21
I collected a long list of the latest AI Coding tools.

All tools are from reddit, I picked only those I saw people talk about recently and are happy with.
(~2 weeks)

I am going to check them all soon enough.
Here they are so you can also try.

(lets talk about them if you try!)
but.. why..?

The way I see it:

LLMs are great for code completion
(co-pilot)

But not so great when writing code on their own
(chat-gpt)

I am skeptical about chat LLMs producing value for experienced devs.

But I want to be proven wrong!
(take my job already)
This idea came to me from @yacineMTB's video.

On the video he shows fast development using AI inside the IDE.

Code models are not perfect.
But if you are able to discard mistakes instantly..

It might actually work!
First time I am positive on this.

Read 12 tweets
Aug 11
I binge-read most of deepseek's papers this weekend.

Here are my notes
(focusing mostly on data)

The papers:
โ€ข DeepSeek:
โ€ข DeepSeek-V2:
โ€ข DeepSeekMath:
โ€ข DeepseekCoder:
โ€ข DeepSeek-Coder-V2: arxiv.org/pdf/2401.02954
arxiv.org/pdf/2405.04434
arxiv.org/pdf/2402.03300
arxiv.org/pdf/2401.14196
arxiv.org/pdf/2406.11931
What's the deal with DeepSeekCoder V2?

First time that an open source model reach this level.
Outperformed state of the art coding models.

Released in June so it is already widely tested by everyone around the world.

The results are real, this model is among the bests! Image
BUT!

DeepSeekCoder V2 is also interesting because there was another DeepSeekCoder paper 5 month prior

So we got a small set of methods that made the SAME model improve on the SAME tasks.

The professional term to describe such a set of isolated methods is:

Pure. Fucking. Gold.
Read 19 tweets
Aug 8
My final guess about @iruletheworldmo before they tell us:

- It is a model.
- Fetches data from X to its context & interacts with us
- The DMs (at least some) are human
- Has some internal agent loop
- NOT trained on X
- Uncensored
- VERY impressive.

(I might be VERY wrong ! !)Image
For those that don't know what this is all about:

Published 3 weeks ago:

Project "Straberry"

An internal reasoning effort at OpenAI as part of the next model's development.

--

Some link this to Q* but this is not confirmed.

[Q* is "what ilya saw" on last year's drama..]Image
Many people from OpenAI posted cryptic messages yesterday at the same time about ๐Ÿ“and right then the account started.

- Started exactly at this point.
- Posted for HOURS nonstop.
- At times even multiple times a minute.
- Stopped exactly after posting something too politicalImage
Read 15 tweets
Aug 7
ืื ื™ ืœื ื‘ื˜ื•ื— ืฉื›ื•ืœื ืžื‘ื™ื ื™ื ืืช ื”ื›ื•ื‘ื“ ืฉืœ ื–ื”.

ื“ืžื™ื™ื ื• ืฉื’ื™ืœื™ืชื ืœื‘ื“ ืชื’ืœื™ืช ืฉืœื ืจืง ืžืฉื ื” ืืช ื›ืœ ื”ืขื•ืœื..

ืžืกืชื‘ืจ ืฉ..
ื”ืชื’ืœื™ืช ืžืฉืžื™ื“ื” ืืช ื›ืœ ืชื—ื•ื ื”ืขื™ืกื•ืง ืฉืœื›ื.

ื•ืื– ืžืกืชื‘ืจ ืฉ..
ื”ื™ื ื’ื ืžืฉืžื™ื“ื” ื’ื ืืช ื›ืœ ื”ืชื—ื•ืžื™ื ื”ืžืฉื™ืงื™ื.

ื•ืื– ืžืกืชื‘ืจ ืฉ..
ืื™ืŸ ืขื•ื“ ืชื’ืœื™ื•ืช ืœื’ืœื•ืช ืื—ืจื™ื”.

ื•ืืช ื›ืœ ื–ื” ืืชื ืขื•ืฉื™ื 6 ืคืขืžื™ื.

ืื˜ื ืฉืŸ. >
ื™ืฉ ืœื™ ื›ืœ ื›ืš ื”ืจื‘ื” ื™ื•ืชืจ ืžื™ื“ื™ ืœืกืคืจ ืœื›ื ืขืœ ื–ื”!

ืืชื—ื™ืœ ืœื—ืคื•ืจ:

ืฉืืœื”:
ืื™ืš ChatGPT ื™ื•ื“ืข ืœื“ื‘ืจ ื‘ืฉืคื” ืื ื•ืฉื™ืช?

ืชืฉื•ื‘ื”:
ื”ื•ื ืœืžื“ ืœื‘ื“ ืžื“ื•ื’ืžืื•ืช "ืื™ืš ื ืจืื” ื˜ืงืกื˜ ืฉื‘ื ื™ ืื“ื ื›ื•ืชื‘ื™ื"

ื”ืชืฉื•ื‘ื” ื”ื–ื• ื ืฉืžืขืช ื ื•ืจื ื ื—ืžื“ื” ืื‘ืœ ื”ื™ื ืœื ืื•ืžืจืช ื›ืœื•ื ืœืจื•ื‘ ื”ืื ืฉื™ื.

ืœื”ืœืŸ, ืจืงืข ืžืงื“ื™ื ืงืœ:
ืžื” ืฉื›ื•ืœื ืงื•ืจืื™ื ืœื• ื”ื™ื•ื "ื‘ื™ื ื” ืžืœืื›ื•ืชื™ืช" ื”ื•ื ืฉื ื™ืคื” ืœ ืจืขื™ื•ืŸ ืคืฉื•ื˜: "ืœืœืžื™ื“ื” ืžื“ื•ื’ืžืื•ืช".

ื ื ื™ื— ื•ืืชื ืจื•ืฆื™ื ืœื–ื”ื•ืช ืื ืชืžื•ื ื” ื”ื™ื ืชืžื•ื ื” ืฉืœ ื›ืœื‘ ืื• ืชืžื•ื ื” ืฉืœ ื—ืชื•ืœ.

ื›ื“ื™ ืœืืžืŸ ืžื•ื“ืœ ืœืขืฉื•ืช ืืช ื–ื”:

ื”ืจืื• ืœื• ืชืžื•ื ื” ืฉืœ ื—ืชื•ืœ
ื•ืืžืจื• ืœื• "ื–ื” ื—ืชื•ืœ"

ื•ืื– ื”ืจืื• ืœื• ืชืžื•ื ื” ืฉืœ ื›ืœื‘
ื•ืืžืจื• ืœื• "ื–ื” ื›ืœื‘"
Read 19 tweets
Jul 23
ื”ื™ื•ื ืฆืคื•ื™ื” ื ืง' ืžืคื ื” ื‘ื‘ื™ื ื” ื”ืžืœืื›ื•ืชื™ืช.

ืชืงืฆื™ืจ:
ืžื˜ื ืฆืคื•ื™ื” ืœืฉื—ืจืจ ื”ื™ื•ื ืœืขื•ืœื ืžื•ื“ืœ ื“ื’ืœ ื”ื—ื“ืฉ: LLaMA-3.1
ืžืคื” ืœืฉื.. ื”ื•ื ื›ื‘ืจ ื“ืœืฃ..

ืื—ืจื™ ืœื™ืœื” ืืจื•ืš ืื ื™ ื™ื›ื•ืœ ืœืกืคืจ ืœื›ื ืื™ืš ื”ื•ื:
ืžื“ื•ื‘ืจ ื›ื›ืœ ื”ื ืจืื” ื‘ืžื•ื“ืœ ื”ื—ื–ืง ื‘ืขื•ืœื.

ืืœื• ืจืง ืชื•ืฆืื•ืช ืจืืฉื•ื ื™ื•ืช ืื‘ืœ ืื ื”ืžืฆื‘ ื™ืฉืืจ ื›ืš ื”ืขื•ืœื ื›ื•ืœื• ืขื•ืžื“ ืœื”ืฉืชื ื•ืช (ืœื ื”ื’ื–ืžื”) >>
ื”ื™ื—ื•ื“ ื‘ืžื•ื“ืœ ื”ื•ื ืฉืžื“ื•ื‘ืจ ื‘ืžื•ื“ืœ ืคืชื•ื—.

ืขื“ ืœืจื’ืข ื–ื” ื”ืžื•ื“ืœื™ื ื”ื˜ื•ื‘ื™ื ื‘ื™ื•ืชืจ ื”ื™ื• ืจืง ืžื•ื“ืœื™ื ืžืกื—ืจื™ื™ื.

ืžื•ื“ืœื™ื ื”ืžื•ืคืขืœื™ื ืขืœ ื™ื“ื™ ืืจื’ื•ื ื™ื ื’ื“ื•ืœื™ื ื”ืžืกืคืงื™ื ืœืžืฉืชืžืฉื™ื ื”ื’ื™ืฉื” ื“ืจืš ืžืžืฉืงื™ ืžืฉืชืžืฉ (ื›ืžื• ChatGPT) ืื• ืžืžืฉืงื™ื ืชื•ื›ื ืชื™ื™ื (API).

ืื‘ืœ ืืช ื”ืžื•ื“ืœ ื”ื–ื” ืืชื ื™ื›ื•ืœื™ื ืœื”ื•ืจื™ื“ ืืœื™ื›ื ืืœ ื”ืžื—ืฉื‘.
ืžืจื’ืข ืฉื”ื•ื ืืฆืœื›ื ืืชื ื™ื›ื•ืœื™ื ืœื”ืคืขื™ืœื• ืœื’ืžืจื™ ื‘ื—ื™ื ื.
ืœืœื ื›ืœ ื”ื’ื‘ืœื”, ืœื›ืœ ืฆื•ืจืš, ื‘ืื•ืคืŸ ืคืจื˜ื™ ืœื—ืœื•ื˜ื™ืŸ.

ืžืžืฉ ื›ืžื• ืฉืืชื ืžืคืขื™ืœื™ื ืชื•ื›ื ื•ืช ืื—ืจื•ืช ืขืœ ื”ืžื—ืฉื‘ ืฉืœื›ื.

ืื ืชื•ืฆืื•ืช ื”ืœื™ืœื” ืžื“ื•ื™ืงื•ืช: ื™ื”ืคื›ื• ื‘ื™ืŸ ืœื™ืœื” ื›ืœ ื”ืžื•ื“ืœื™ื ื”ืžืกื—ืจื™ื™ื ืœืœื ืจืœื•ื•ื ื˜ื™ื.
Read 12 tweets
Mar 10
I think Claude 3 crossed (or closely approached) an interesting threshold:

The "power users" threshold.

For the first time being able to help power users with heavy complex tasks faster than themselves.

This is a controversial topic in AI,
Let me try to explain:
I never use GPT-4 for code.

I use it for:
1. Brainstorming ideas.
2. Learning new topics that I don't know about.
3. Reading long texts instead of me (ask-your-pdf)
4. Just easy tasks.

But never for code.
It never helped me coding.
Every time I tried to use it for any coding task I found myself wasting way more time than simply doing the actual thing myself from scratch.

And I am not the only one that reached this conclusion,
I know number of people which think exactly the same.
Read 10 tweets

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