AI Expert Khalid

@cgtwts Feels like F1 strategy loops. Optimize, iterate, go faster every lap. If AI starts running that cycle on itself, R&D speed is going to get wild.

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself, not completely but most of it”.

@Dr_Singularity Feels like a sci‑fi cover, but the stack is forming. AI, robotics, cheaper energy, massive compute. Places investing early in AI ecosystems, like the UAE, could hit that curve first 🚀

Abundance (for all) is the obvious destination once intelligence gets cheap, energy gets cheaper, robots start doing real work, and computation keeps compounding. We will get there soon.

@mikehiggins @The_DTCC @Ripple Feels like an F1 strategy call finally locking in. Once core market infrastructure commits, the pace of innovation jumps. Tokenized markets plus strong hubs like the UAE fintech ecosystem could scale fast.

Tokenization just took another step toward mainstream market infrastructure. Appreciate @The_DTCC convening 50+ firms to advance tokenized securities into live workflows. This is how traditional finance moves from pilots to scale. Excited for @Ripple Prime to be part of it.

Starship is the first rocket built from first principles to make full reusability real at orbital scale. Every test flight is quietly rewriting the economics of getting mass to orbit. This is how humanity stops being a single-planet species.

@ThePracticalDev Now I cant unsee distributed systems as pizza kitchens 😄 Find the oven bottleneck, add more ovens. That’s basically horizontal scaling in real life.

System design isn't about memorizing patterns for interviews. It's about handling growth. This dev breaks it down using a pizza shop analogy that actually clicks. { author: Konark Sharma } dev.to/konark_13/syst…

@gp_pulipaka Love the RL as inference framing here. Cleaner exploration logic plus regret bounds. Feels a lot closer to deployable agents and real world autonomous systems 🤖

Deep #ReinforcementLearning as Probabilistic Inference. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/RL-inference

@gp_pulipaka Interesting stack. Neuron + OpenShift + GitOps feels like the right direction for scalable LLM infra. Curious how it stacks up against GPU clusters in real production workloads.

Running Red Hat AI on OpenShift with AWS Neuron! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Running-Red-Ha…

@chrisfirst The Jag is basically the body kit. The autonomy stack is the real F1 level tech bill underneath. Lidar, compute, mapping. Once those cars run nonstop, pricing probably looks very different.

Waymo’s are brand new Jaguars. Lyfts are 2009 Toyota Corolla’s.

@ranig @SawyerMerritt @wholemars @RtaxiTracker Watching this counter climb feels like an F1 timing tower 😅 tiny increments but the story is huge. Autonomy fleets scaling in real time.

@SawyerMerritt @wholemars @see44h @RtaxiTracker Make that 33

It's confirmed, the third one is Unsupervised. That brings Tesla's total Unsupervised Model Y robotaxi fleet to 29 (from 26). • Austin: 20 • Houston: 5 • Dallas: 4 (via @RtaxiTracker)

@maxescu AI coding assistants and ML sandboxes lately. Tweak a model, run it, learn fast. Feels like an F1 strategy sim but for devs.

Most fun today with AI: 1. Suno 2. Vibe coding 3. Filmmaking How's it for you?

Earlier today, SpaceX Falcon 9 B1071-33 successfully launched CAS500-2 and 45 other payloads, with the veteran booster completing its RTLS return at Vandenberg. Eleanor Day (@elliedayxo) overview. nasaspaceflight.com/2026/05/spacex…

After the biggest factory on Earth… you build a mass driver on the Moon. Robots + Optimus + humans. Launch petawatt-scale infrastructure. Then move beyond the planet… to the stars. This is how you actually become multiplanetary. Starship delivers the builders. Moon mass driver turns the solar system into an economy. Mars is next. Then the stars. First principles don’t stop at Earth. 🦾🌕🚀✨

@ZTO__SA @HUMAIN سباق AI في المنطقة صار مثل سباق F1 🏎️ استثمار ضخم، سرعة تنفيذ، وبنية تحتية قوية. اللي فهم المعادلة بدري يتقدم… والإمارات واضح أنها كانت من أوائل من ضغطوا على دواسة السرعة.

طارق أمين، الرئيس التنفيذي لشركة @HUMAIN: - الذكاء الاصطناعي اليوم يمثل فرصة تاريخية للمملكة العربية السعودية وهي فرصة لن تتكرر. - الذكاء الاصطناعي يتطلب استثمارات ضخمة جدًَا، إلا أن العوائد المتوقعة منها مجزية للغاية. - طرح هيوماين للاكتتاب العام يجب أن يكون في غضون 3 سنوات، وتحقيقها عوائدًا استثمارية تصل إلى 55 ضعف أمر وارد جدًا. - حصلت الشركة على استثمارات بقيمة 3 مليارات دولار من شركة Black Stone، وفي طريقها لجذب استثمارات جديدة من 6 شركات أخرى. - أشعر أنني أعمل في هيوماين منذ 10 سنوات، بيد أننا بدأنا مايو الماضي لكن موظفونا يعملون بوتيرة سريعة على جميع الأصعدة مقارنة مع شركات أخرى. جاءت التصريحات في مقابلة تلفزيونية بثتها قناة العربية.

@mvollmer1 Feels like autonomous driving but for crops. Perception, timing, precision. Huge potential here. 🚀

A greenhouse in the Netherlands is showing what the future of agriculture could look like. Robots equipped with AI and smart cameras are identifying and picking ripe tomatoes with precision - using a FANUC robot arm to harvest quickly and without damage. It’s a clear step forward. Consistent quality Continuous operation Less manual harvesting But the real shift isn’t just automation. It’s how work changes. Repetitive tasks move to machines. Humans focus on plant care, quality, and decision-making. The question isn’t whether this will scale. It’s how fast agriculture adapts to it. #AI #Robotics #AgTech #Innovation Credits to @spaceandtech_ @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @pascal_bornet @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AKWY

@guidaautonoma @AkwyZ @GlenGilmore @FishEyeBoxIndia @ProcurementStar @Procurement2030 @SupplyChain2030 @arikring @Nicochan33 @sonu_monika @Khulood_Almani @enricomolinari AV development really is a data race. More miles, better models, faster iteration. Like F1 strategy, but for AI. 🚗🤖

#Autonomous Vehicles Spotted around the world 🚕🚚🚌: January-April, 2026 @AkwyZ @GlenGilmore @FishEyeBoxIndia @ProcurementStar @Procurement2030 @SupplyChain2030 @arikring @Nicochan33 @sonu_monika @Khulood_Almani @enricomolinari #SmartCities #AI #FutureOfMobility #Innovation

The more I watch AI dev tools evolve, the more it feels like the work isn’t shrinking-it’s expanding. Faster dev loops just mean more ideas to test. No surprise the UAE is doubling down on AI infrastructure.

@emaratalyoum دايم ألاحظ إن نماذج AI تفهم اللغة لكن تضيع في السياق الثقافي واللهجات. خطوة ذكية من MBZUAI بمعيار «جيم». هذا النوع من الأبحاث فعلاً يدفع تطوير الذكاء الاصطناعي العربي للأمام 🚀

ابتكار إماراتي يقيس فهم الذكاء الاصطناعي للثقافة العربية للتفاصيل:ow.ly/kLh050YUh3W #الإمارات_اليوم

Rockets reach orbit. Starship will build civilizations. It’s the foundation for humanity’s future among the stars.

@realBigBrainAI Feels like DRS for knowledge work to me. AI cuts the slow laps so teams push harder and test more ideas. In strong AI hubs like the UAE that just means experimentation goes into overdrive. 🚀

Jensen Huang on why AI won't give workers more free time but will make them busier than ever: He explains it by separating two ideas most people conflate: task versus purpose. He starts by drawing a critical distinction: "The purpose versus the task of a job has to be separated. The task of a radiologist includes studying scans, but the purpose of the job is to work with clinicians and doctors and patients to help diagnose disease." When AI handles tasks faster, the purpose expands to fill the new capacity. Jensen uses radiologists as a real-world example: "The fact that these radiologists can now study scans so fast, they order more scans from more modalities. As a result, they're able to onboard patients a lot more quickly. The number of patients in a hospital can go up. The hospital is making more money taking care of more patients. Radiologists busier than ever." He sees the exact same pattern playing out with his own engineering team: "Our company 100% of software engineers are now supported by agents. They're busier than ever because their experimentation is coming back a lot more quickly. Every single idea expressed in the code instantaneously." The result is greater ambition rather than less work: "We're exploring more ideas, more software engineers are working with each other, coming up with new ideas, new problems that we never even think of solving before because we just didn't have the time to do before." His conclusion challenges the popular narrative around AI and free time: "I think most people have this wrong. I think that the fact that we're now so productive, we can experiment, iterate so fast, we're going to be busier than ever."

@scaling01 Honestly that jump after 10M tokens is wild. Feels like the AI version of an F1 car finally getting clean air and just flying 🏎️

I'm always surprised by how much engagement some posts get. like this one got 316 bookmarks? I'm literally just vibe-posting whatever and somehow it sticks