Ebrahim Alareqi

If a drop of water falls in a lake, there’s no identity. But if it falls on a leaf of lotus, it shines like a pearl. So choose the best place where you’d shine.

[Ebrahim Alareqi @EbrahimAlareqi]

@karpathy Best of luck!

[Ebrahim Alareqi @EbrahimAlareqi]

@arblauvelt @LaunchGood @RemoBrush Glad I got one from you & it’s honestly high quality. Thanks 🙏

[Claude @claudeai]

Introducing Claude Opus 4.7, our most capable Opus model yet.

It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.

You can hand off your hardest work with less supervision.

[Ebrahim Alareqi @EbrahimAlareqi]

@omarwasm Let’s gooo!

[Ebrahim Alareqi @EbrahimAlareqi]

This is huge!

[Amjad Masad @amasad]

AI agents can prototype apps… But shipping real software takes hours of testing, debugging, and refactoring.

Agent 3 is 10× more autonomous — it keeps going where others get stuck.

The “Full Self-Driving” moment of software.

[Hashem Al-Ghaili @HashemGhaili]

I did more tests with Google's #Veo3. Imagine if AI characters became aware they were living in a simulation!

[Ebrahim Alareqi @EbrahimAlareqi]

@ii_posts Awesome 👏

[DataSummit @DBTADataSummit]

Discover how Incorta’s AI-driven tech stack is reshaping analytics—from building trust in data to cutting costs and boosting performance. Join Ebrahim Alareqi, @incorta, at #DataSummit for this rapid-fire sponsored keynote. Register with code DS25 today! https://t.co/Z9GOQUTSHo

[Amjad Masad @amasad]

The CEO of Franklin Templeton ($1.5T AUM), Jenny Johnson, is hacking with Replit on the weekend. What’s your excuse?

[Ebrahim Alareqi @EbrahimAlareqi]

@zaidalyafeai @KAUST_News Congratulations. All the best 👏

[Amjad Masad @amasad]

Whatever you need… make an app for that.

Now on your phone. For everyone. Free.

[Andrej Karpathy @karpathy]

We have to take the LLMs to school.

When you open any textbook, you'll see three major types of information:

1. Background information / exposition. The meat of the textbook that explains concepts. As you attend over it, your brain is training on that data. This is equivalent to pretraining, where the model is reading the internet and accumulating background knowledge.

2. Worked problems with solutions. These are concrete examples of how an expert solves problems. They are demonstrations to be imitated. This is equivalent to supervised finetuning, where the model is finetuning on "ideal responses" for an Assistant, written by humans.

3. Practice problems. These are prompts to the student, usually without the solution, but always with the final answer. There are usually many, many of these at the end of each chapter. They are prompting the student to learn by trial & error - they have to try a bunch of stuff to get to the right answer. This is equivalent to reinforcement learning.

We've subjected LLMs to a ton of 1 and 2, but 3 is a nascent, emerging frontier. When we're creating datasets for LLMs, it's no different from writing textbooks for them, with these 3 types of data. They have to read, and they have to practice.

[aiXplain @aixplain]

Upcoming AI meetup from @aicampai, in collaboration with @incorta! Join us for an exciting evening focused on Generative AI and AI Agents. https://t.co/ji4wI95dwD

Don’t miss insightful tech talks from @EbrahimAlareqi and our DevRel, @Coffee_and_NLP.

📅 January 21, 5:30 PM PST
📍 GitHub, 88 Colin P Kelly Jr St, San Francisco

[Ebrahim Alareqi @EbrahimAlareqi]

RT @play_ht: Imagine a world where your voice is the universal interface.

No screens, no buttons, just seamless, human-like conversations.…

[Ebrahim Alareqi @EbrahimAlareqi]

Join me tomorrow @ 9:00 am pst as I host the livestream discussion between @vectara 's @awadallah and @incorta’s @oelkady to get a sneak peek of Vectara's session for NoLimits SFO!

#IncortaNoLimits #GenAI #AI #ML

Attend here: https://t.co/GbVRcckZgi

[Ebrahim Alareqi @EbrahimAlareqi]

@zaidalyafeai Proud of you, Zaid