Daniel Sarr

CEO @ods_groupe Building a smart and paperless Africa // #GoSmartBeDigital // Lu la bett mën la // tweets my own

[ESPN @espn]

DP👽Y WEMBY

Victor Wembanyama is the first-ever UNANIMOUS Defensive Player of the Year 🏆

@wemby | @spurs

[Aman Sanger @amanrsanger]

We've evaluated a lot of base models on perplexity-based evals and Kimi k2.5 proved to be the strongest!

After that, we do continued pre-training and high-compute RL (a 4x scale-up).

The combination of the strong base, CPT and RL, and Fireworks' inference and RL samplers make Composer-2 frontier level.

It was a miss to not mention the Kimi base in our blog from the start. We'll fix that for the next model.

[Brivael Le Pogam @brivael]

Ça fait 15 ans que je bosse dans la tech. A chaque fois que j'ai vu des gens devenir dogmatiques sur une méthodologie, ça finit toujours pareil.

Les meilleurs se barrent. La productivité réelle baisse. Mais les dashboards sont verts, les rituels sont respectés, et tout le monde se félicite.

On force les gens à faire rentrer des carrés dans des ronds. Et quand ça pète, on blame l'exécution. Jamais la méthode.

Le truc que les meilleures startups, les meilleures scale-ups et les meilleures big tech ont en commun, c'est justement qu'aucune d'entre elles n'applique une méthodologie by the book. Elles ont toutes construit leur propre façon de fonctionner, adaptée à leur contexte, leur culture, leur stade.

Parce qu'elles ont compris un truc simple : chaque contexte est différent. Il y a des briques intéressantes dans ces méthodologies. Mais ce sont des boîtes à outils, pas des dogmes. Tu t'en inspires, tu prends ce qui marche pour toi, tu jettes le reste.

Avec les agents IA, on va revivre exactement le même film. La paroisse. Les certifications. Les meet-ups sacrés. Les mêmes PNJ qui vont transformer ça en religion.

Et le pattern sera exactement le même. Seul le nom du produit change.

[CA Vivek Khatri @CaVivekkhatri]

🚨 BREAKING:

Iran didn't respond to US bombs with missiles.

They responded with GAME THEORY.

And in doing so, they may have just fired the most dangerous shot at the US dollar in 52 years.

Here's the move most people completely missed: 🧵

(Read this slowly. Share it widely.)

[Le ₿unker 🪖 @LeBunkerBtc]

Après ton BAC+5, tu es devenu développeur full-stack en CDI dans une boîte du CAC40 qui met "innovation" et "inclusion" dans tous ses PowerPoints.

T'es payé comme un stagiaire luxembourgeois mais t'es plein d'espoir et d'ambition parce que Jean-Luc de la compta avec son pantalon a pince marron et ses spartiates d'handicapé social t'a dit qu'au bout de 5 ans "ça décolle".

En 2020, pendant les confinements, ton DRH t'annonce le télétravail permanent depuis une vidéo Zoom où il porte un col roulé noir comme s'il annonçait l'iPhone 12.

Les politiques et les médias confirment: c'est la bonne chose à faire d'un point de vue sanitaire et aussi pour sauver les pingouins en diminuant les émissions de CO2.

Tu vends ta bagnole, tu quittes ton 28m² à Montreuil où t'entendais ton voisin tousser à travers le mur, tu t'installes en Dordogne dans une maison avec jardin, ta copine est aux anges.

Tu fais tes calls en calebard avec un café en regardant les canards traverser ton terrain et pour la première fois de ta vie tu te dis que la vie est belle et que le vent a tourné en ta faveur. Tu t'imagines même mettre ta grosse en cloque.

En 2024, mail de la direction un lundi à 8h:
"Dans le cadre de notre politique de cohésion d'équipe, la présence au bureau est désormais obligatoire 4 jours sur 5."

Tu revends la maison en Dordogne à contrecoeur et à perte parce que les taux ont quadruplé et que ton acheteur le sait très bien ce fils de pute, ta copine te quitte en prenant le gosse et le labrador parce qu'elle ne veut pas revenir en Île-de-France se faire toucher le cul dans le metro, tout en te réclamant évidemment une pension alimentaire.

Tu reprends un studio à Cergy pour 1000€ par mois avec vue imprenable sur un Lidl et une bretelle d'autoroute, tu rachètes une Sandero d'occasion qui sent le Febreze et le regret, et tu retournes faire 1h30 de bouchons sur l'A15 matin et soir entre un camion polonais et un utilitaire Amazon en te disant que t'aurais jamais dû écouter ce connard de DRH.

En 2026, ton manager t'invite à un call Teams un vendredi à 17h58:
"On a automatisé une grande partie de tes tâches avec notre nouvel outil IA. On te propose une rupture conventionnelle."

T'as 34 ans, un crédit auto en cours, un studio que tu peux plus payer, Magali qui te réclame la pension pour le chiard et le clebs et un CV dont la compétence principale vient d'être remplacée par un prompt de 3 lignes qu'un stagiaire a copié depuis Reddit.

[Katyayani Shukla @aibytekat]

Instead of watching a Netflix movie, watch this masterclass on Claude Code Complete Vibe Coding Guide

[Prasenjit @Star_Knight12]

Google launched a brand new AI tool.

It's called CodeWiki, and it might be the biggest upgrade GitHub has had in years.

And all you do is paste your GitHub repo in, and it turns your entire project into an interactive guide.

It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else.

So you never have to dig through a giant repo again wondering what does this do

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Equipe du Sénégal @GaindeYi]

#NouvellePhotoDeProfil ⭐️⭐️

[Shabâb Al-Janna @hikmatalkalima]

BRA - ARG en élim de la CDM. Les Argentins se font tabasser dans les tribunes.
Messi dit : "On ne joue pas,on s'en va".
Toute l'équipe quitte la pelouse.
Mais quand c'est l'Afrique ça fait les chokbar !

Personne ne doit toucher à Pape Thiaw !
La FIFA peut aller se faire voir.

[MOÏSA 🇸🇳🔌 @Moussa_KL]

Conscient de la gravité de ses actes de sabotage en plein jeu,Saibari est venu à l'hôtel des Lions pour présenter ses excuses à Édouard Mendy. Eu égard aux excuses acceptées,la CAF devra,en principe,sans tarder,à sanctionner l'équipe marocaine.

[Cyber Africa Forum @CAF_forum]

[#Partenariat] Nous sommes heureux d’annoncer @ods_groupe comme partenaire platinum du Cyber Africa Forum 2025.

Retrouvez-nous les 24 et 25 juin à Cotonou pour rencontrer les acteurs qui façonnent l’avenir numérique africain.

🔗 https://t.co/N9u3e8cmXC

[Daniel Sarr @dgsarr]

@gcurtisgn Toutes mes condoléances mon cher 🙏🏾

[Aaron Levie @levie]

DeepSeek has been a very important breakthrough for understanding the future of economics in software in a world of AI.

There’s been an open question for a couple of years now - especially from public market investors - around whether
more value goes into the AI models or into the application layer of AI over time. The specifics of the pie graph don’t matter as much as the core direction of the space.

Imagine two different scenarios: one in which AI was extremely proprietary and very expensive, and another where AI is almost completely free and relatively open. You could easily game out two different outcomes in these worlds.

In the world of very expensive and proprietary AI, the providers of AI could and likely should choose to keep all the economics for themselves - basically crowding out opportunity for developers and the ecosystem. In a world of insanely cheap AI, then the value is less about the models, but what you do with the AI models to make them useful - in that world, more value is available to the application layer (which could include the AI companies, to be clear).

With the latest breakthroughs from DeepSeek, we can nearly definitively say this question has been answered, and we’re clearly moving closer to the latter. We’ve already seen incremental steps toward this direction with the continuous cost and quality improvements from labs in the past couple of years, but DeepSeek shifts our understanding of this even further.

In a world where the cost of intelligence will continue to drop rapidly, more value will accrues back into the app layer. Products that combine AI, customer workflows, and likely some degree of unique data, will generate substantial value from these models going forward.

Now, everyone wants to live in a binary world of winners and losers, but I don’t think it’s that simple here. The leading AI labs will incorporate the relevant lessons from DeepSeek into their models, and we’ll get cheaper and more intelligent AI. As a result of that, the cost of intelligence will continue to drop, and we will find even more ways to use the technology as it becomes affordable for even more use cases.

If we can make AI 10X more efficient today, it’s exceedingly obvious we will have 100X more use for it in 5 years from now, more than making up for the efficiency gains. Making demand for GPUs and data centers bigger than ever.

In all, fantastic to see that we continue to have companies and teams pushing the limits of AI. This is a great win for software developers at the app layer, and it will push labs to go even further. Incredible times.

[Daniel Sarr @dgsarr]

Je commence à capter plus fréquemment la #5G à Dakar.
Pour l'instant, c'est juste une icône et le débit n'est pas forcément transcendant. Mais le futur s'installe lentement. Any feedback sur le rythme de déploiement ? @orange_sn

[Daniel Sarr @dgsarr]

Product Management en 2025: le grand dilemme 🤔
Focus produit vs nouvelles opportunités. La tentation d'explorer est forte avec l'IA mais attention:
Un produit négligé = clients perdus
Un marché raté = avantage concurrentiel perdu
Trouver l'équilibre est crucial #ProductStrategy

[el.cine @EHuanglu]

what??

NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that’s small enough to look like a Mac Mini but packs 1,000x the power of your average laptop.

Handles AI models with up to 200 BILLION parameters.

This is incredible..

[Daniel Sarr @dgsarr]

La course aux talents se gagnera sur l'adoption IA. Les talents de demain ont grandi avec l'IA. Ils choisiront les entreprises qui augmentent leur productivité, pas celles qui la freinent.
#FutureOfWork #Talent

[Daniel Sarr @dgsarr]

#AIFirst Lecture intéressante du CEO de Box sur l'élan d'innovation dans les entreprises avec #AI
“Overall, this is the most energized I’ve seen enterprises in nearly two decades of being in enterprise software.”

[Aaron Levie @levie]

Coming off of meeting a couple dozen enterprises around the future of their AI strategies, here are a few notes on the state of AI in the enterprise right now.

1. The AI-first enterprise is emerging. Given AI increasingly is starting to be used across coding, customer support, marketing content creation, risk management, client onboarding, contract management, and more, it’s clear AI will touch almost every department in some way. Companies are starting to think through how entire functions get reimagined in a world of AI.

2. Enterprises want choice in their AI stack. The past couple of years have proven out that there are going to be models that perform different tasks in different ways, and enterprises increasingly want to flexibility in what they use. Further, the rate of innovation coming from the frontier model labs is so incredible that companies want to be in a position to leverage the latest breakthroughs from these players and not be stuck on a single architecture.

3. We will need more interoperability in AI. Especially as AI Agents emerge, and your software has to complete entire tasks for you just like a person would, increasingly there’s going to be a need for AI Agents from disparate systems to talk to each other. As an AI industry, we’re only in the earliest of stages of figuring out standards around this, but it’s going to have major implications on enterprise adoption.

4. Your AI stack will define who you can hire. Employees of the future are going to simply expect that the company they work for is going to enable them to be as productive as possible, and AI is going to be a core part of that. This is going to become more acute as the next generation enters the workforce. Having used AI in high school or college for years, the way they research, collaborate, and generate work product is going to be totally different. You won’t join a company that makes you work 40 hours to get 20 hours done when there’s another company that lets you get 80 hours worth of work done. This will define employee choices in the future.

5. The role of IT is continuing to change tremendously. Jensen called this out in his CES keynote, but we’re seeing a reshaping of what the IT organization will do in the future. In the past, IT has been responsible for deploying and maintaining software that enables the workforce; in a world of AI Agents, IT will increasingly be responsible for actually getting the work itself done. This has massive implications around how strategic IT becomes, and how this org more tightly coordinates with the company.

6. We’re still insanely early. What’s remarkable is that while we’ve seen a tremendous amount of growth in consumer AI, datacenter growth, GPU sales, and many initial breakthrough AI use-cases, we’re still very early. This feels eerily similar to the the first few years of cloud, where adoption is starting with the first movers inside an organization (IT teams, creative employees, etc.) and then expanding from there. Unlike the cloud, however, it’s perceived to be inevitable that every enterprise will be transformed by AI. The main hurdles to getting there are generally ones of AI quality, change management, privacy and compliance work — but not fundamental philosophy challenges, like we saw in cloud.

Overall, this is the most energized I’ve seen enterprises in nearly two decades of being in enterprise software. There’s a palpable sense that we’re on the cusp of major changes to how business and work happens in the future, and it’s unbelievably exciting.