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[ 🇨🇳 CHINE | ⚡️ INÉDIT LTT ] 🔸 Des chercheurs annoncent avoir fait fonctionner le tokamak chinois EAST avec une densité de plasma bien plus élevée que les limites habituelles, grâce à un démarrage spécifique combinant chauffage micro‑ondes et gaz injecté avant l’allumage. Cette avancée suggère qu’il pourrait être possible de produire des plasmas plus denses et plus stables qu’on ne le pensait jusqu’ici, un point clé pour rapprocher la fusion nucléaire d’une production d’énergie viable, selon une nouvelle étude publiée dans Science Advances. 🔗 Jiaxing Liu et al., Accessing the density-free regime with ECRH-assisted ohmic start-up on EAST. Sci. Adv.12, eadz3040 (2026). DOI:10.1126/sciadv.adz3040

Things to teach your kids; - Chess - First aid - Resilience - Astronomy - Persuasion - Adaptability - Self-respect - Self-defence - Cooking skills - Assertiveness - Managing time - A good attitude - Public speaking - Problem solving - Self-awareness - Gardening skills - How to volunteer - How to negotiate - Living off the land - Basic home repair - Starting a business - Money management - Good communication - Don’t watch the news - Emotional intelligence - How to manage stress - Basic car maintenance - How to make a decision - How to influence people - How to be a great mother - It’s okay to feel your emotions - Mental frameworks for thinking - Understanding healthy relationships - Building others up, not tearing them down - Problem-solving over memorization - Exploration over conformity - Creativity over rote learning - The value of hard work. - How to be kind to everyone. - Why failure is the path to success. - How to think, not what to think. - How to adapt, not conform. - How to lead, not follow. - How to create, not consume. - Taking care of animals. - Good use of language. - Opposite sex relationships. - Healhy food choices. - Music, listening and performing. - General culture. - Foreign languages. - Leadership. - Stoicism. - Fasting. - Sports. - Video games. - Spirituality. - Travelling. - Copywriting. - Drawing. - Self love. What would you add?

@stats_feed Healthcare, transports, education, food ....

What is something that is expensive in the US but cheap outside the US?

l’ironie c’est que la France a colonisé l’Afrique pendant plus de 60 ans en maintenant des bases militaires, en imposant le franc CFA, en exploitant les ressources et maintenant que les américains font pareil avec vos données et votre cloud vous commencez à ressentir les effets de la colonisation numérique (cette fois) mais sans jamais l’avouer car votre ego surdimensionné vous rend aveugle d’ailleurs, l’Afrique doit sûrement se pisser dessus de rire en voyant Glucksmann tweet « nous ne sommes pas une colonie » pendant que vous dépendez de Palantir, AWS, Azure, Starlink et j’en passe exactement comme vous les avez fait dépendre de vos bases militaires et votre monnaie sachez que la différence c’est que l’Afrique a eu les couilles de dégager le colonisateur MAIS vous vous tweetez votre indignation pendant que la DGSI reconduit Palantir pour la troisième fois et qu’Orange collabore avec Starlink bienvenue dans le monde réel où l’Europe n’est plus le continent colonisateur mais le continent colonisé et l’Afrique qui vous regarde pleurer sur Twitter après avoir viré vos bases militaires doit trouver ça d’une ironie délicieuse vous récoltez exactement ce que vous avez semé à savoir la dépendance stratégique & l’impossibilité de dire non sauf que maintenant c’est vous les colonisés et vous n’avez même pas le courage de faire ce que le Mali, le Tchad et le Sénégal ont fait: dégager le dominant car vous êtes totalement vassalisés

Terrible imitation de Donald Trump par l'acteur britannique Lewis MacLeod 👌🏻 Les mimiques 😃

@eeelistar I've just done an article about this.. Everyone needs to know about this story, and his.. x.com/thorndyke_art/…

Trainium3 UltraServers now available: Enabling customers to train and deploy AI models faster at lower cost. #AWSreInvent ⬇️ amzn.to/4oFRHIc

Amazon is rolling out its new Trainium 3 “UltraServers” to customers, with racks that pack up to 144 in-house chips and more than 4x the compute of the prior Trainium generation at similar or better energy efficiency. $AMZN is pitching them as a more cost-effective alternative to $NVDA GPUs and custom $GOOGL silicon for training larger AI models faster and serving more users at lower cost. $MRVL Source: Bloomberg

AWS's Matt Garman on $NVDA GPUs: "AWS is by far the best place to run NVIDIA GPUs." Big claim. "Now, when you think about AI infrastructure, one of the first things that comes to mind is GPUs, and AWS is by far the best place to run NVIDIA GPUs. We were actually the first offer in NVIDIA GPUs in the cloud, and we've been collaborating together with NVIDIA for over 15 years. And what that means is that we've learned operate GPUs at scale. In fact, if you talk to anyone who's run large GPU clusters than any other provider, they'll tell you that AWS is by far the most stable at running a GPU cluster. We're much better at avoiding node failures and definitely deliver the best reliability. And the reason for that is because we sweat the details, minor things like debugging BIOS to prevent GPU reboots." "Nothing is too small for us to be focused on—those details really matter, and it's why we lead the industry in GPU reliability." "This year, we launched our P6 generation of EC2 instances featuring the NVIDIA Blackwell processor, the P6 EC2 B 200 Ultra Server, which provides over 20x the compute compared to our previous P5n generation. These are ideal for customers that are working with really large AI models out there, and we're doing that again." "I'm excited to announce the new P6E GB 300—these are powered by Nvidia's latest GB 300 NVL 72 systems." "Our full stack approach to hardware and software plus operational rigor delivers you the absolute best performance and reliability for the biggest organizations in the world. This includes Nvidia themselves, by the way, who run their large scale Jn AI cluster project CIEBA on AWS and many others like open AI, who are actively running on AWS today, they're using clusters of EC2 Ultra servers with hundreds of 1000s of chips today, GB 200s and GB 300s, and they have the ability to scale to more than 10s of millions of CPUs to manage their agent tech workflows. All of this is to support their ChatGPT application.."

JUST IN: Amazon $AMZN rolls out Trainium 3 'UltraServers' AI chips, pitching them as a cost-effective alternative to $NVDA GPUs and $GOOGL TPUs.

AWS Trainium 3 is AWS' first 3nm silicon. It's also going into their new launch of Tn3 UltraServers and providing a sneak peek at Trainium 4. #CIO #Cloud #AI #AWSreInvent @awscloud

#Amazon has unveiled its #Trainium 3 AI chip and Trn3 UltraServers to challenge #Nvidia GPUs and Google TPUs in large-model training. Built on a 3nm process, Trainium 3 delivers around 4× the performance of the first Trainium and roughly 40% better energy efficiency. 📷: Amazon

$AMZN is rolling out Trainium 3 with a clear goal of shift more AI training onto hardware it controls so AWS isn’t fully dependent on $NVDA or $GOOGL. The bet is that clusters of up to a million Trainium chips can offer enough performance & cost efficiency to anchor major customers like Anthropic.

Amazon isn't trying to kill Nvidia with Trainium. It is trying to bypass the "Nvidia Tax." @AWSreInvent is right around the corner, and as the industry expects (and hopes) for a new announcement about the Trainium 3 chip, my second long-form piece dives deep into why custom silicon is Amazon’s most critical margin preservation engine for the next decade. As always, open for feedback, and happy Thanksgiving! 👇 iamfabian.substack.com/p/amazon-train…

$AMZN IS ROLLING OUT ITS LATEST AI CHIPS TO COMPETE DIRECTLY WITH $NVDA & $GOOGL All the updates: • Trainium 3 UltraServers are live with ~144 chips & ~4x the compute of the prior generation. • Amazon can connect thousands of them into clusters with up to one million chips. • Anthropic remains Amazon’s primary training partner & scaling toward one million Trainium 2 chips. • Scaling Trainium 3 depends on AWS securing enough power which is the constraint for every major player. • Memory still trails Nvidia & Google which shows Amazon is competing on cost & integration rather than peak performance.

Trainium4: 6x FP4, 4X more memory bandwidth, 2x more HBM than TR3. "Hard at work," no dates.

Trainium 3 UltraServer Liquid Cooled 😍😍😍😍😍 #reinvent

Trn3! 5X tokens per megawatt. 144 total Trainium three chips acting together in a single scale-up domain connected by custom neuron switches. This delivers a massive 362 petaflops. Compute over 700TB per second of aggregate bandwidth.

Really enjoyed Matt’s keynote at #AWSreInvent today. So much innovation happening in @awscloud, and you could see it with the array of launches he unveiled. So many parts of the keynote worth watching, but will point to a few: 1/ Excited about the availability of Trainium3. Trainium2 has substantial traction, is a multi-billion-dollar revenue run rate business, has 1M+ chips in production, and 100K+ companies using it as the majority of Bedrock usage today. Trainium2 has price-performance advantages over other GPU options that are compelling, and Trainium3 will deliver at least 4.4x more compute performance, 4x greater energy efficiency, and almost 4x more memory bandwidth than Trainium2: youtu.be/q3Sb9PemsSo?si… 2/ Worth double clicking on AgentCore, which has changed the security and scalability of deploying agents into production. AgentCore is a set of flexible building blocks that can be used in any combination developers want, and AWS added two more in Policy and Evaluations. AgentCore has a lot of momentum: youtu.be/q3Sb9PemsSo?si… 3/ Nova Forge is a game-changer for companies wanting to customize a frontier model with their own proprietary data. Like equipping a young person with a better knowledge foundation to keep learning, LLMs are better able to solve problems and improve if they’re trained early on with companies’ differentiated data. To do so, companies need earlier versions of the frontier model and ability to mix their own data with the model’s data. This is what Forge provides and this “open training” allows companies to develop Novellas that are their own, optimized versions of Nova they can use for their AI apps and agents. Customers have been itching for this sort of capability, and Forge is a uniquely compelling approach: youtu.be/q3Sb9PemsSo?si… 4/ Agents will become the primary way companies get value from AI. We have built some compelling agents for our customers in Kiro (for coding), Quick (for knowledge workers to leverage their own data, analytics, and routines), Transform (to migrate from one software source to another), and Connect (call center agents). But there are tasks customers want agents to solve more autonomously and over longer durations, and new AWS frontier agents—Kiro autonomous agent, AWS DevOps Agent, and AWS Security Agent—are exciting: youtu.be/q3Sb9PemsSo?si… 5/ Finally, I enjoyed Matt’s ending 25 launches in 10 mins, both because it was action-packed and represented so much useful delivery. The reason so many people cheered these launches is because even though they’re less sexy, they’re the meat and potatoes core infrastructure needs customers have—and with so much of the total cloud infrastructure running on top of AWS, these launches will make a lot of people’s lives easier and better every day: youtu.be/q3Sb9PemsSo?si… Enjoy (and just day 1 of announcements today for AWS :-)!

@Alex_Racing1 J'ai fait Monza cette année et c'est incroyable je conseille à tout le monde de le faire l'ambiance est incroyable ! Je vais aussi faire abu Dhabi la semaine prochaine mais je ne m'attends pas à la même ambiance

Je suis curieux de vos réponses par rapport à cette question : C’est quoi l’événement sport auto que vous rêvez de voir en vrai ? 🤩