Reema Alhawas

@SaraAlsubaieCS @CeoFaisalOSAIL كيف اقدر اطلع درجتي بالقدرات بسرعة؟ موقع قياس مايفتح معي، تعرفون طريقة ثانية؟

@CeoFaisalOSAIL غير هذا اصلاً القدرات قبل ٥-٧ سنين ما كانت فيه كميه المصادر والتجميعات الي نفس الحين يعني اذكر وقتها الي يجب ٩٩-١٠٠ يحطونه بالاخبار

ممكن افهم ليش درجه القدرات مطلوبه ببرنامج خريجين وحاطين الخانه اجباريه بعد.. يا جماعة اخر خبري بالقدرات ٢٠١٨ نسيت هالشيء الين شفتهم طالبينه بالبرنامج

@Gamingtronium Some hardware components can be damaged by the salt and minerals in the seawater so they need very clean water for cooling

If water is the biggest problem for data centers So why aren't we building them where water is abundant and free?

📍Cotswold, England 🏴󠁧󠁢󠁥󠁮󠁧󠁿

I’m the weak

Dissertation season is not for the weak

@cb_doge Doesn’t every LLM goes through some form of RL phase?

"OpenAI have what's called human reinforcement learning, which is another way of saying that they have a whole bunch of people that look at the output of ChatGPT and then say whether that's okay or not okay. Essentially they are training the AI to lie." — Elon Musk

you can outsource your thinking but you cannot outsource your understanding

A lot on my plate and more on my mind.

@jordanlwatson The timing couldn’t be worse

@I1Reemaaa Yup

Is Claude down for anyone else ? #Claude

My brainrot is actually getting out of hand

I will figure it out I think

this screams “we need an IPO asap” 😂

Nuclear energy is the future.

Not sure how to explain it to people overseas but UK summer beats any summer anywhere else in the world.

the internet made knowledge free and focus expensive

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place! sebastianraschka.com/llm-architectu…

We just completed the largest decentralised LLM pre-training run in history: Covenant-72B. Permissionless, on Bittensor subnet 3. 72B parameters. ~1.1T tokens. Commodity internet. No centralized cluster. No whitelist. Anyone with GPUs could join or leave freely. 1/n

the market whenever Anthropic tweets some shit

Google just killed the document extraction industry. LangExtract: Open-source. Free. Better than $50K enterprise tools. What it does: → Extracts structured data from unstructured text → Maps EVERY entity to its exact source location → Handles 100+ page documents with high recall → Generates interactive HTML for verification → Works with Gemini, Ollama, local models What it replaces: → Regex pattern matching → Custom NER pipelines → Expensive extraction APIs → Manual data entry Define your task with a few examples. Point it at any document. Get structured, verifiable results. No fine-tuning. No complex setup. Clinical notes, legal docs, financial reports, same library. This is what open-source from Google looks like.