متابعة زيارة ترامب لدولة الإمارات العربية المتحدة.

[عيناوي قديم]

مشاهدة المرفق 783732

كما قلت سابقا ،،، ليس الهدف شراء وتكديس الاسلحة للاستعراض به ،، ولكن للحصول على الاحتياجات الحقيقية والقائمة على الابتكار والتميز

 

[FOX.AE]

تمام بالتوفيق. هذه تحسب له لان تصنيفكم في مؤشر 2025 في تراجع, احب الموضوعيه.

و بيني و بينك الاكاديميا ليست على الجبهه الاماميه للذكاء الصناعي, الفاعلين تجدهم في القطاع الخاص دوما و ابدا.

Those who can, do; those who can't, teach كما يقال.

ينفعون في المجالات الناضجه, زي هذه

Stanford and Saudi scientists launch six-year collaboration on aerospace research

New fuels, flight designs, safety techniques, space missions and supporting technologies are expected from the Stanford Center of Excellence in Aeronautics and Astronautics.

engineering.stanford.edu

There is a difference between simply collaborating & establishing my own labs in the UAE, along with an institute for full multi sector collaboration covering a wide range instead of a narrow focus.


If this indicates anything, it shows that the decision was made with a forward looking perspective, forecasting the UAE’s position in AI and other sectors in the coming years.

 

[Hegesias]

There is a difference between simply collaborating & establishing my own labs in the UAE, along with an institute for full multi sector collaboration covering a wide range instead of a narrow focus.


If this indicates anything, it shows that the decision was made with a forward looking perspective, forecasting the UAE’s position in AI and other sectors in the coming years.

There’s a key distinction between laying down roots and simply being a high-tech pit stop. The UAE might build impressive facilities and launch institutes, but without the deep bench of homegrown talent and technical expertise, it’s unlikely to become a true leader in AI. At best, it will serve as a marginal host for the real players, those chasing lucrative energy-backed AI workloads while the cutting edge innovation happens elsewhere.

That's a mistake we're not planning to stumble upon

 

[FOX.AE]

There’s a key distinction between laying down roots and simply being a high-tech pit stop. The UAE might build impressive facilities and launch institutes, but without the deep bench of homegrown talent and technical expertise, it’s unlikely to become a true leader in AI. At best, it will serve as a marginal host for the real players, those chasing lucrative energy-backed AI workloads while the cutting edge innovation happens elsewhere.

That's a mistake we're not planning to stumble upon

Well let’s see ,
There’s a key distinction between being a host and building a true AI ecosystem and the UAE has made it clear it’s aiming for the latter, Suggesting the country lacks the foundation to lead in AI ignores the bold and strategic steps already in motion.

This is the first country in the world to appoint a Minister of State for Artificial Intelligence in 2017 it was UAE , signaling long term commitment to AI leadership.

Here is the link for your reference: https://u.ae/en/about-the-uae/digital-uae/artificial-intelligence


It launched the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) the world’s first graduate level university dedicated solely to AI attracting top global talent and producing advanced research it was also UAE.

Also a link : https://mbzuai.ac.ae


The country also established the Technology Innovation Institute (TII) in Abu Dhabi, which hosts world class research centers in quantum computing, cryptography, robotics, and AI. TII collaborates with institutions like Stanford and MIT.

Also another link : https://www.tii.ae

Beyond academia, AI is being deeply integrated into national strategies and services, including healthcare diagnostics, smart courts, predictive infrastructure maintenance, and AI powered policing.

United Arab Emirates Minister of State for Artificial Intelligence, Digital Economy & Remote Work Applications Office

1 Million AI Talents A groundbreaking initiative aimed at achieving an AI-driven future by training 1 million talents in AI by 2027. This effort extends beyond education, focusing on shaping the future, and positioning as…

ai.gov.ae

The UAE isn’t playing catch up it’s building long term capacity, From deploying AI across government to advancing deep tech R&D, the country is not merely hosting innovation it’s actively shaping it.

If anything, what we’re witnessing is not a pit stop but the rise of a regional AI powerhouse laying down serious roots and growing fast.

That’s a reality you can’t ignore unless you have lack of information

Conducting research method sometimes about something it won’t harm to confirm some information before we claim it

 

[Hegesias]

Well let’s see ,
There’s a key distinction between being a host and building a true AI ecosystem and the UAE has made it clear it’s aiming for the latter, Suggesting the country lacks the foundation to lead in AI ignores the bold and strategic steps already in motion.

This is the first country in the world to appoint a Minister of State for Artificial Intelligence in 2017 it was UAE , signaling long term commitment to AI leadership.

Here is the link for your reference: https://u.ae/en/about-the-uae/digital-uae/artificial-intelligence


It launched the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) the world’s first graduate level university dedicated solely to AI attracting top global talent and producing advanced research it was also UAE.

Also a link : https://mbzuai.ac.ae


The country also established the Technology Innovation Institute (TII) in Abu Dhabi, which hosts world class research centers in quantum computing, cryptography, robotics, and AI. TII collaborates with institutions like Stanford and MIT.

Also another link : https://www.tii.ae

Beyond academia, AI is being deeply integrated into national strategies and services, including healthcare diagnostics, smart courts, predictive infrastructure maintenance, and AI powered policing.

United Arab Emirates Minister of State for Artificial Intelligence, Digital Economy & Remote Work Applications Office

1 Million AI Talents A groundbreaking initiative aimed at achieving an AI-driven future by training 1 million talents in AI by 2027. This effort extends beyond education, focusing on shaping the future, and positioning as…

ai.gov.ae

The UAE isn’t playing catch up it’s building long term capacity, From deploying AI across government to advancing deep tech R&D, the country is not merely hosting innovation it’s actively shaping it.

If anything, what we’re witnessing is not a pit stop but the rise of a regional AI powerhouse laying down serious roots and growing fast.

That’s a reality you can’t ignore unless you have lack of information

Conducting research method sometimes about something it won’t harm to confirm some information before we claim it​

The glossy list of UAE initiatives looks ambitious, and yes, appointing a minister and launching MBZUAI were headline-worthy moves. But let’s not confuse infrastructure with ecosystem, or optics with actual depth. A true AI powerhouse isn’t built on early PR wins or imported expertise, it’s built on sustained contributions to foundational research, organic talent pipelines, homegrown IP, and trusted, scalable innovation ecosystems.

While the UAE has been busy hosting, Saudi Arabia has been building. From launching its own large language models like ALLaM, developed in Arabic, by Arabs, for Arabic NLP to establishing KAUST as a deep-tech research powerhouse, Saudi is investing not just in facilities, but in sovereign AI capacity. It’s not just importing talent, it’s cultivating it at scale. And it’s backing that with a national strategy that doesn’t stop at labs, but stretches across energy, security, language, and industrial AI.

Sure, MBZUAI and TII are promising. But their research output, local talent development, and global influence don’t yet rival what’s coming out of institutions like KAUST, or even the scale of investment and ambition behind Saudi’s Alat and PIF-backed AI ventures. And let’s not forget, the true AI players aren’t measuring success by conferences and partnerships. They’re training sovereign models, defining global benchmarks, and anchoring AI governance. That’s where the game is headed.

At best, the UAE might become a well-funded host for global AI workloads, rented talent, rented compute, rented prestige. But the strategic value? That stays with the owners.

And that's a mistake we’re not planning to stumble upon

​

 

[Khalid88]

Well let’s see ,
There’s a key distinction between being a host and building a true AI ecosystem and the UAE has made it clear it’s aiming for the latter, Suggesting the country lacks the foundation to lead in AI ignores the bold and strategic steps already in motion.

This is the first country in the world to appoint a Minister of State for Artificial Intelligence in 2017 it was UAE , signaling long term commitment to AI leadership.

Here is the link for your reference: https://u.ae/en/about-the-uae/digital-uae/artificial-intelligence


It launched the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) the world’s first graduate level university dedicated solely to AI attracting top global talent and producing advanced research it was also UAE.

Also a link : https://mbzuai.ac.ae


The country also established the Technology Innovation Institute (TII) in Abu Dhabi, which hosts world class research centers in quantum computing, cryptography, robotics, and AI. TII collaborates with institutions like Stanford and MIT.

Also another link : https://www.tii.ae

Beyond academia, AI is being deeply integrated into national strategies and services, including healthcare diagnostics, smart courts, predictive infrastructure maintenance, and AI powered policing.

United Arab Emirates Minister of State for Artificial Intelligence, Digital Economy & Remote Work Applications Office

1 Million AI Talents A groundbreaking initiative aimed at achieving an AI-driven future by training 1 million talents in AI by 2027. This effort extends beyond education, focusing on shaping the future, and positioning as…

ai.gov.ae

The UAE isn’t playing catch up it’s building long term capacity, From deploying AI across government to advancing deep tech R&D, the country is not merely hosting innovation it’s actively shaping it.

If anything, what we’re witnessing is not a pit stop but the rise of a regional AI powerhouse laying down serious roots and growing fast.

That’s a reality you can’t ignore unless you have lack of information

Conducting research method sometimes about something it won’t harm to confirm some information before we claim it

حتى بالادله والروابط مانفع الوضع ههههه
خلاص ببتهم اكبر عن بيتنا

 

[Khalifa ss]

The glossy list of UAE initiatives looks ambitious, and yes, appointing a minister and launching MBZUAI were headline-worthy moves. But let’s not confuse infrastructure with ecosystem, or optics with actual depth. A true AI powerhouse isn’t built on early PR wins or imported expertise, it’s built on sustained contributions to foundational research, organic talent pipelines, homegrown IP, and trusted, scalable innovation ecosystems.

While the UAE has been busy hosting, Saudi Arabia has been building. From launching its own large language models like ALLaM, developed in Arabic, by Arabs, for Arabic NLP to establishing KAUST as a deep-tech research powerhouse, Saudi is investing not just in facilities, but in sovereign AI capacity. It’s not just importing talent, it’s cultivating it at scale. And it’s backing that with a national strategy that doesn’t stop at labs, but stretches across energy, security, language, and industrial AI.

Sure, MBZUAI and TII are promising. But their research output, local talent development, and global influence don’t yet rival what’s coming out of institutions like KAUST, or even the scale of investment and ambition behind Saudi’s Alat and PIF-backed AI ventures. And let’s not forget, the true AI players aren’t measuring success by conferences and partnerships. They’re training sovereign models, defining global benchmarks, and anchoring AI governance. That’s where the game is headed.

At best, the UAE might become a well-funded host for global AI workloads, rented talent, rented compute, rented prestige. But the strategic value? That stays with the owners.

And that's a mistake we’re not planning to stumble upon

​

The UAE was the first in the region to develop an Arabic-focused AI LLM with the Jais project in 2023 by G42 and MBZUAI. It later introduced Falcon and Falcon Mamba, developed by TII, which weren’t Arabic-focused but were much larger in scale. Falcon Mamba was a major milestone as a government-developed SSLM, placing the UAE in a rare category globally


This doesn’t mean the UAE is competing with tech giants, but the early and significant steps it has taken in AI can’t be ignored. The country also ranks among the top three globally for attracting AI talent, showing it’s not just building models, but building an ecosystem

With all these moves, initiatives, and real projects, it’s clear this isn’t a PR stunt

You can read the earlier attached HAI report which also includes citations or you can search each information separately
​

You can read the earlier attached HAI report which includes citations, or search each point individually

​

 

[m2abuassi]

ارحمونا من أم المشاركات اللي بالEnglish

 

[Khalifa ss]

ارحمونا من أم المشاركات اللي بالEnglish

Sure we will

 

[العزيزي]

ارحمونا من أم المشاركات اللي بالEnglish

That's a good idea

 

[FOX.AE]

The glossy list of UAE initiatives looks ambitious, and yes, appointing a minister and launching MBZUAI were headline-worthy moves. But let’s not confuse infrastructure with ecosystem, or optics with actual depth. A true AI powerhouse isn’t built on early PR wins or imported expertise, it’s built on sustained contributions to foundational research, organic talent pipelines, homegrown IP, and trusted, scalable innovation ecosystems.

While the UAE has been busy hosting, Saudi Arabia has been building. From launching its own large language models like ALLaM, developed in Arabic, by Arabs, for Arabic NLP to establishing KAUST as a deep-tech research powerhouse, Saudi is investing not just in facilities, but in sovereign AI capacity. It’s not just importing talent, it’s cultivating it at scale. And it’s backing that with a national strategy that doesn’t stop at labs, but stretches across energy, security, language, and industrial AI.

Sure, MBZUAI and TII are promising. But their research output, local talent development, and global influence don’t yet rival what’s coming out of institutions like KAUST, or even the scale of investment and ambition behind Saudi’s Alat and PIF-backed AI ventures. And let’s not forget, the true AI players aren’t measuring success by conferences and partnerships. They’re training sovereign models, defining global benchmarks, and anchoring AI governance. That’s where the game is headed.

At best, the UAE might become a well-funded host for global AI workloads, rented talent, rented compute, rented prestige. But the strategic value? That stays with the owners.

And that's a mistake we’re not planning to stumble upon

​

As i mentioned earlier, conduct research methods perhaps it will help you a little bit!

Key words for your reference, but if you still in your position, i will apply ( What ever you say it’s right)

Falcon 180B

 

[Hegesias]

The UAE was the first in the region to develop an Arabic-focused AI LLM with the Jais project in 2023 by G42 and MBZUAI. It later introduced Falcon and Falcon Mamba, developed by TII, which weren’t Arabic-focused but were much larger in scale. Falcon Mamba was a major milestone as a government-developed SSLM, placing the UAE in a rare category globally


This doesn’t mean the UAE is competing with tech giants, but the early and significant steps it has taken in AI can’t be ignored. The country also ranks among the top three globally for attracting AI talent, showing it’s not just building models, but building an ecosystem

With all these moves, initiatives, and real projects, it’s clear this isn’t a PR stunt

You can read the earlier attached HAI report which also includes citations or you can search each information separately
​

You can read the earlier attached HAI report which includes citations, or search each point individually

​

.Let’s clear something up: being first to announce a model doesn’t mean you’re leading anything

Jais was a decent PR win, but let’s not overhype a model trained with foreign infrastructure and external partners, especially when its Arabic performance wasn’t even state-of-the-art for long. Falcon and Falcon Mamba? Impressive in size, sure. But size without real-world deployment, open evaluations, or sovereign control over data and compute just means you're burning money for attention. That’s not AI
.leadership—that’s high-budget benchmarking

Top 3 in attracting AI talent sounds great, until you realize that attracting talent isn’t the same as producing it or retaining it. The UAE has essentially become an AI co-working space, gleaming buildings, visiting researchers, and a revolving door of consultants. It’s a polished platform for others to build on, not a sovereign ecosystem

Meanwhile, Saudi Arabia’s not just training models, it’s deploying them at scale, in Arabic, by Saudis, for real national use cases. The ALLaM model isn’t a flashy demo, it’s part of a coordinated strategy to own the full AI stack: from compute, to frameworks, to data governance. Saudi isn’t chasing applause, it’s building leverage

So no, this isn’t about denying the UAE’s moves. It’s about recognizing that real power in AI doesn’t come from being first to publish a PDF or launch a lab. It comes from controlling the engine under the hood. And that’s exactly where Saudi is pulling ahead​

 

[Hegesias]

As i mentioned earlier, conduct research methods perhaps it will help you a little bit!

Key words for your reference, but if you still in your position, i will apply ( What ever you say it’s right)

مشاهدة المرفق 783815

Falcon 180B

Falcon 180B is AI cosplay. A bloated model trained on mostly English data, built on rented American infrastructure, with no novel architecture, no serious Arabic capabilities, and no real-world impact

It’s not sovereign, it’s not strategic, it’s a PR stunt in silicon, made to chase headlines, not solve problems. No deployment, no ecosystem, no ownership, just parameter inflation to flex for the cameras

Meanwhile, Saudi is quietly doing the real work, building ALLaM and others that are native, relevant, and already embedded in national systems​

 

[Khalifa ss]

.Let’s clear something up: being first to announce a model doesn’t mean you’re leading anything

Jais was a decent PR win, but let’s not overhype a model trained with foreign infrastructure and external partners, especially when its Arabic performance wasn’t even state-of-the-art for long. Falcon and Falcon Mamba? Impressive in size, sure. But size without real-world deployment, open evaluations, or sovereign control over data and compute just means you're burning money for attention. That’s not AI.
.leadership—that’s high-budget benchmarking

Top 3 in attracting AI talent” sounds great, until you realize that attracting talent isn’t the same as producing it or retaining it. The UAE has essentially become an AI co-working space, gleaming buildings, visiting researchers, and a revolving door of consultants. It’s a polished platform for others to build on, not a sovereign ecosystem

Meanwhile, Saudi Arabia’s not just training models, it’s deploying them at scale, in Arabic, by Saudis, for real national use cases. The ALLaM model isn’t a flashy demo, it’s part of a coordinated strategy to own the full AI stack: from compute, to frameworks, to data governance. Saudi isn’t chasing applause, it’s building leverage

So no, this isn’t about denying the UAE’s moves. It’s about recognizing that real power in AI doesn’t come from being first to publish a PDF or launch a lab. It comes from controlling the engine under the hood. And that’s exactly where Saudi is pulling ahead​

Let’s be clear: calling it a PR stunt is more of a denial than a factual assessment


Jais, Falcon, and Falcon Mamba were produced and developed by local institutions: G42, TII, and MBZUAI. All of them are state-owned UAE entities, not external collaborators


Second, ALLaM itself is a fine-tuned version of Meta’s LLaMA model, not a fully developed model built from scratch like Jais and Falcon, which are both larger in scale and more complex. Falcon Mamba, in particular, is based on a locally developed architecture (SSLM), not an external tool provided by a major tech company


Therefore, the sovereignty narrative is neither accurate nor factually correct unless backed by credible sources


Regarding talent acquisition, one cannot ignore the role of universities and academia in the UAE. These are state-owned institutions that educate and graduate students every year. You can’t dismiss academia as irrelevant and then simultaneously question whether it plays a role. The contradiction is clear


Lastly, SSLM are still globally rare, and Falcon Mamba represents a major milestone for the UAE to be among the few countries developing this kind of model

Sources are there to verify information not to argue opinions​

 

[Hegesias]

اختبار benchmark للغه العربيه. علام يفوز.

تحول تركيز تقييم نماذج اللغة نحو المهام المنطقية والمكثفة المعرفة، مدفوعًا بالتطورات في تدريب النماذج الكبيرة مسبقًا. وبينما تُدرَّب النماذج الحديثة جزئيًا على نصوص عربية كبيرة، لا يزال تقييم أدائها باللغة العربية صعبًا نظرًا لمحدودية توافر مجموعات البيانات ذات الصلة. ولسد هذه الفجوة، نقدم أول معيار متعدد المهام لفهم اللغة العربية، مستقى من امتحانات المدارس عبر مستويات تعليمية متنوعة في دول مختلفة تمتد عبر شمال إفريقيا وبلاد الشام ومنطقة الخليج. تتألف بياناتنا من 40 مهمة و14,575 سؤال اختيار من متعدد باللغة العربية الفصحى الحديثة، وقد بُنيت بعناية بالتعاون مع متحدثين أصليين للغة في المنطقة. تكشف تقييماتنا الشاملة لـ 35 نموذجًا عن وجود مجال كبير للتحسين، لا سيما بين أفضل النماذج مفتوحة المصدر. والجدير بالذكر أن BLOOMZ وmT0 وLLaMA2 وFalcon تكافح من أجل تحقيق درجة 50%، في حين أن النموذج العربي الأفضل أداءً لم يحقق سوى درجة 62.3% ( اضافه للتوضيح, المقصود علام هنا ).

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art models are partially trained on large Arabic texts, evaluating their performance in Arabic remains challenging due...

arxiv.org

 

[Hegesias]

Let’s be clear: calling it a PR stunt is more of a denial than a factual assessment


Jais, Falcon, and Falcon Mamba were produced and developed by local institutions: G42, TII, and MBZUAI. All of them are state-owned UAE entities, not external collaborators


Second, ALLaM itself is a fine-tuned version of Meta’s LLaMA model, not a fully developed model built from scratch like Jais and Falcon, which are both larger in scale and more complex. Falcon Mamba, in particular, is based on a locally developed architecture (SSLM), not an external tool provided by a major tech company


Therefore, the sovereignty narrative is neither accurate nor factually correct unless backed by credible sources


Regarding talent acquisition, one cannot ignore the role of universities and academia in the UAE. These are state-owned institutions that educate and graduate students every year. You can’t dismiss academia as irrelevant and then simultaneously question whether it plays a role. The contradiction is clear


Lastly, SSLM are still globally rare, and Falcon Mamba represents a major milestone for the UAE to be among the few countries developing this kind of model

Sources are there to verify information not to argue opinions​

Calling ALLaM just a “fine-tuned LLaMA” ignores its deep Arabic focus and real linguistic complexity, something Falcon, despite its size, can’t match

Falcon and Jais may have flashy names, but they heavily rely on foreign tech, infrastructure, and partnerships. Sovereignty isn’t just state ownership on paper, it’s true control of data, talent, and tech

Yes, UAE has universities, but producing degrees isn’t the same as building a sustainable AI ecosystem. The UAE still imports most top-tier AI talent

.SSLMs are rare, but Falcon Mamba’s rarity doesn’t erase its dependence on borrowed code and rented data centers

.Facts matter, hype doesn’t. On real AI sovereignty, ALLaM and Saudi’s approach leave Falcon in the dust​

 

[صقر الامارات]

 

[Khalifa ss]

Calling ALLaM just a “fine-tuned LLaMA” ignores its deep Arabic focus and real linguistic complexity, something Falcon, despite its size, can’t match

Falcon and Jais may have flashy names, but they heavily rely on foreign tech, infrastructure, and partnerships. Sovereignty isn’t just state ownership on paper, it’s true control of data, talent, and tech

Yes, UAE has universities, but producing degrees isn’t the same as building a sustainable AI ecosystem. The UAE still imports most top-tier AI talent

.SSLMs are rare, but Falcon Mamba’s rarity doesn’t erase its dependence on borrowed code and rented data centers

.Facts matter, hype doesn’t. On real AI sovereignty, ALLaM and Saudi’s approach leave Falcon in the dust​

Starting from Llama-2 pretrained model weights, we continue pretraining the ALLaM-7B and ALLaM-13B models on 1.2T tokens, covering both English and Arabic languages.


We first demonstrate the feasibility of adapting an existing pretrained English model (Llama-2) to fluency in both Arabic and English through tokenizer and vocabulary expansion.


..



Quotes form the research paper which was written and published by the Saudi authorities themselves



Second an option form IBm

ALLaM is a series of powerful language models designed to advance Arabic Language Technology (ALT) developed by the National Center for Artificial Intelligence (NCAI) at the Saudi Data and AI Authority (SDAIA). These models are initialized with Llama-2 weights and are trained on both Arabic and English


Not here to argue facts .. sorry


..



Flashy names or bad names or whatever if you have credible sources that back your opinion or we can distinguish between personal opinion and correct facts

..

 

[Khalifa ss]

 

[صقر الامارات]

اتسائل الى اي مركز سنقفز بعد الاستثمارات الهائلة في قطاع الذكاء الصناعي ...

تقديري الشخصي ،، ربما المركز الثاني او الثالث على ابعد تقدير.