Moctar Diallo

@suni_code @testdrivenio So we invented DB to make to make data persistent. But there is trade-off: latency; disk operations are slower than RAM. So we have to make the best of the two worlds: reason why Redis was also invented. I guess.

@suni_code @testdrivenio Actually cache uses the RAM to store the data and that's why it's fast while DB stores data in disk. So the question turns to why invent the DB if we have just RAM ? The reason is because RAM is not persistent and goes away on app restarts, etc.

Interviewer: If the cache is faster than the database, why not store everything in cache?

@NabiAhmad_ @haskell_brooks Voilà exactement ce dont je parle. Merci Nabi pour le partage!

@haskell_brooks @moctarjallo check this . Il a piloté un hover en utilisant Claude :) youtube.com/watch?v=jBpQiv…

@haskell_brooks Haha ta vision c'etait pas celle de yan lecun avec les world models ? Ici y'a toujours pas eu de shift de paradigme hein.. çà reste toujours le paradigme du LLM.

@moctarjallo, on a déjà discuté sur ce sujet hhh. yag yag, ma vision va l’emporter sur la tienne même si ta vision est plus optimiste. hhh.

Humm, ça c’est ce que j’appelle un changement de paradigme. Le modèle peut-être vu comme étant de la mémoire procédurale. Il y a une différence entre utiliser un tool externe et encoder le tool dans le modèle.

@MedteckThiam Salam pour toi.

Mon burnout m'empêche de travailler depuis 3 semaines maintenant. Je reprends graduellement mes activités, mais ce n'est pas facile. Je vous épargne les détails des autres problèmes que ça a engendré (digestif, immunitaire, etc.) Don't fall for it. Prenez soin de vous!

@elonmusk Building a city on the Moon wouldn't that interfere with Moonlight for example ?

For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years. The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars. It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city. That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.

@LaurentBonardi C'est pas eux qui ont cassé leurs resto dernièrement? En plus ils sont déjà majeurs et vaccinés?

Des étudiants contraints de se précipiter lors d'une distribution gratuite de repas. Quelles que soient les raisons, on ne peut pas se satisfaire de ce genre de situation. 🇸🇳

@elonmusk Longest elon musk's tweet ever 👏🏽👏🏽👏🏽

Nobody has fought harder for full release of the Epstein files and prosecutions of those who abused children more than I did, knowing full well that the legacy media, far-left propagandists and those who are actually guilty would: 1. Admit nothing 2. Deny everything 3. Make counter-accusations against me I knew that I would be smeared relentlessly, despite never having attended his parties or been on his “Lolita Express” plane or set foot on his creepy island or done anything wrong at all. Nonetheless, the extreme pain of being accused of being the opposite of who I am was worth it. The strong must protect those cannot protect themselves, especially vulnerable children. I will gladly accept any amount of future pain to do more to protect kids and give them a chance to grow up and have happy lives.

@elonmusk Then imagine that the past and the future have already happened (in the perspective of a quantum universe).

Can you Imagine?

@WaveSenegal Plutot "0 frais" entre deux comptes de la même personne.

Un compte partagé pour couple…🤔 On fait passer l’idée à l’équipe ou lance le débat ici.😀⬇️ #wave #comptepartagé

@AndrewYNg Arabs invented Algebra, the West used it. The West is inventing AI from algebra, China is using it. And so on.. (China will invent fireworks with AI, Africa will use them🤷‍♀️) That's apparently how the human history works !

Separate reports by the publicity firm Edelman and Pew Research show that Americans, and more broadly large parts of Europe and the western world, do not trust AI and are not excited about it. (Links in original text, below.) Despite the AI community’s optimism about the tremendous benefits AI will bring, we should take this seriously and not dismiss it. The public’s concerns about AI can be a significant drag on progress, and we can do a lot to address them. According to Edelman’s survey, in the U.S., 49% of people reject the growing use of AI, and 17% embrace it. In China, 10% reject it and 54% embrace it. Pew’s data also shows many other nations much more enthusiastic than the U.S. about AI adoption. Positive sentiment toward AI is a huge national advantage. On the other hand, widespread distrust of AI means: - Individuals will be slow to adopt it. For example, Edelman’s data shows that, in the U.S., those who rarely use AI cite Trust (70%) more than lack of Motivation and Access (55%) or Intimidation by the technology (12%) as an issue. - Valuable projects that need societal support will be stymied. For example, local protests in Indiana brought down Google’s plan to build a data center there. Hampering construction of data centers will hurt AI’s growth. Communities do have concerns about data centers beyond the general dislike of AI; I will address this in a later letter. - Populist anger against AI raises the risk that laws will be passed that hamper AI development. To be clear, all of us working in AI should look carefully at both the benefits and harmful effects of AI (such as deepfakes polluting social media and biased or inaccurate AI outputs misleading users), speak truthfully about both benefits and harms, and work to ameliorate problems even as we work to grow the benefits. But hype about AI’s danger has done real damage to trust in our field. Much of this hype has come from leading AI companies that aim to make their technology seem extraordinarily powerful by, say, comparing it to nuclear weapons. Unfortunately, a significant fraction of the public has taken this seriously and thinks AI could bring about the end of the world. The AI community has to stop self-inflicting these wounds and work to win back society’s trust. Where do we go from here? First, to win people’s trust, we have a lot of work ahead to make sure AI broadly benefits everyone. “Higher productivity” is often viewed by general audiences as a codeword for “my boss will make more money,” or worse, layoffs. As amazing as ChatGPT is, we still have a lot of work to do to build applications that make an even bigger positive impact on people’s lives. I believe providing training to people will be a key piece of the puzzle. DeepLearning.AI will continue to lead the charge on AI training, but we will need more than this. Second, we have to be genuinely worthy of trust. This means every one of us has to avoid hyping things up or fear mongering, despite the occasional temptation to do so for publicity or to lobby governments to pass laws that stymie competing products (such as open source). I hope our community can also call out journalism that spreads hype. For example, Nirit Weiss-Blatt wrote a remarkable article about how 60 Minutes’ coverage of an Anthropic study in which Claude, threatened with being shut down, resorted to “blackmail,” was highly misleading. The study carried out a red-teaming exercise in which skilled researchers, after a lot of determined work, finally pushed an AI system into a corner so it demonstrated “blackmailing” behavior. Unfortunately, news reports distorted this and led many to think the “blackmail” behavior occurred naturally rather than only because skilled researchers engineered it to happen. The reports left many with a wildly exaggerated picture of how often AI actually “schemes.” Red-teaming exercises are important to test vulnerabilities of systems, but this particular piece of hype, which was widely circulated, will hurt AI for a long time. Living in Silicon Valley, I realize I live in a bubble of AI enthusiasts, which is great for exchanging ideas and encouraging each other to build! At the same time, I recognize that AI does have problems, and the AI community needs to address them. I frequently speak with people from many different walks of life. I’ve spoken with artists concerned about AI devaluing their work, college seniors worried about the tough job market and whether AI is exacerbating their challenges, and parents worried about their kids being addicted to, and receiving harmful advice from, chatbots. I don’t know how to solve all of these problems, but I will work hard to solve as many as I can. And I hope you will too. It will only be through all of us doing this that we can win back society’s trust. [Original text, with links: deeplearning.ai/the-batch/issu… ]

@IamKyros69 5 years from now new coders will be asking how did we learn to code with no AI 😅

How did people even learn to code when there was no docs, no YouTube… nothing? Genuinely curious.

@PoliceNationSN Wa mais...

Escroquerie & Abus de Confianc Le Poste de Police de Wakhinane Nimzatt a interpellé un individu recherché pour avoir détourné 5.700.000 FCFA d'une boutique multiservices via des transferts WAVE. Le mis en cause a reconnu avoir utilisé la somme pour parier en ligne (jeu AVIATOR).

@autruicomoi L'une des plus grandes différences entre nous africains et les autres ce n'est ni l'intelligence ni la force ni la richesse; c'est plutôt le courage. Il est temps pour nous aussi de prendre le nôtre. Et j'aime le courage inspirant de cet homme.

Chute des Euro-obligations du Sénégal après la position assumée de Sonko, samedi, contre une Restructuration de la Dette. Total soutien aux autorités pour la non-restructuration de cette Dette contractée sur le dos du Peuple sans son consentement. Vive le Sénégal 🇸🇳 🤞🏾🙏🏾🇸🇳

@MissGaye98 Niveau conception, le back depend du front. Niveau implementation, le front depend du back. D'abord conception, ensuite implementation.

Les développeurs, j’ai une question 🙋‍♀️ Est-ce au développeur backend de s’adapter au frontend dev? Est-ce l’inverse ? Ou bien les deux doivent travailler en parallèle ? #frontenddevelopers #backenddevloper #DeveloperCommunity

@AndrewYNg @ylecun is this not AI generated ? 😁

Fun breakfast with @ylecun. We chatted about open science and open source (grateful for his tireless advocacy of these for decades), JEPA and where AI research and models might go next!

@g_gerveni @NanouuSymeon A hack I've found when you see the sunrise: close the curtains and pretend it's still somewhere in the middle of the night

@NanouuSymeon Sleep, but late. Usually 2-3am because that's when I actually focus without distractions. Some nights are fine, others I'm debugging something at 4-5am that I swore would take "5 minutes to fix." Sometimes I just see the sunrise and accept my fate. The cycle continues.

As a Developer, do you sleep at nights?

@haskell_brooks Interesting. Quelle base de données utilisez-vous tout de même?

On utilise souvent cette lib pour build nos moteurs de recherche. NGT peut gérer des milliards de vecteurs en mode quantization.

@sama What's the pricing ? Is it available standalone on API ?

GPT-5-Codex is here: a version of GPT-5 better at agentic coding. It is faster, smarter, and has new capabilities. Let us know what you think! The team has been absolutely cooking, very fun to watch.

@haskell_brooks Wa mais kan moy rejetter sama request yi 🤣