Yigit Okar

Economics-grounded AI for Private Equity Secondaries | Prev @UW Economics and @UniBogazici EE16', views my own.

[🥔🥔🥔 @argofowl]

damn, every single person on earth is asking for a usage reset

@ClaudeDevs, it's time to deliver lil bro

[ℏεsam @Hesamation]

watching Anthropic extend Fable for 5 more days when you have already OBLITERATED your usage limits.

[Maxime Rivest 🧙‍♂️🦙🐧 @MaximeRivest]

Fable, made me a terminal for remarkable and now I can run pi in it!

[Yigit Okar @yigitokar]

@venturetwins This is probably a tail event. Most of the ppl who delivers food are very nice people, hard workers.

Plus the math doesnt check out for the robots too

[Yigit Okar @yigitokar]

wat

[Google Research @GoogleResearch]

Introducing TabFM, a foundation model designed specifically for tabular data classification & regression. This approach allows generation of high-quality predictions on previously unseen tables in a single forward pass.

Learn more and try out the model →https://t.co/OTbVQ8oUQs

[Matthew Berman @MatthewBerman]

I’ve been waiting for “fable please review my entire project in full, improve everything, make no mistakes”

[Yigit Okar @yigitokar]

@BoruSesi2025 Ne kadar terbiyesizsin yazik

[Yigit Okar @yigitokar]

@iScienceLuvr Use pension-fund backed capital for data-center build out and once the models are good restrict access to public. Sad

[Tanishq, Ph.D. at ICML @iScienceLuvr]

This is bad. This is really bad. The US government is hampering AI innovation and accessibility. A sad day for the progress of AI.

I really hope OpenAI can avoid this for future releases.

[MadChops @madch0ps]

@midjourney babe wake up, new Fullbody Ultrasonic Computational Tomography device just dropped

[K @kahnfessions]

saw the video of the $300k TC Stripe salesperson with the $7k Tribeca rent and have a lot of questions

[Kaan Oktay @kaan_oktay]

Check out our new work led by brilliant @AbbasMammadov11 and @ozgurkara99

[Yigit Okar @yigitokar]

@natolambert I wonder if they would continue to opensource a fable class model

[Yigit Okar @yigitokar]

@HenryYin_ very nice abstraction

[prinz @deredleritt3r]

Two years ago, reasoning models did not exist. GPT-4o and Sonnet 3.5 were SOTA.

One year ago, the best publicly available model was o3, and 99% of those who used it (i.e., 99% of 7% of OpenAI customers) were using it as a chatbot.

Today (i.e., right now as I type this), I have Codex building several pieces of personalized software and doing a large-scale data management project for me. The data management project has been running autonomously for nearly 4 days. I have multiple working apps on my phone that I use daily and which were built entirely by Codex.

Projecting this trend to June 2027 is absolutely mind-boggling. The world will change.

[Yigit Okar @yigitokar]

@GuillaumeLample wow

[Guillermo Rauch @rauchg]

HTML is so back.
Drag and https://t.co/HJSiShgTtP

[Yigit Okar @yigitokar]

@_pulkitxm thanks for your service sir

[John Scott-Railton @jsrailton]

NEW: malware developers added nuclear & biological weapons text to to their spyware.

Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner.

Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky.

When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit.

We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted.

In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation.

H/T to colleagues that shared this with me https://t.co/f3Aj9TYxU4