ChristineTechie

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ChristineTechie

ChristineTechie

@TechGalChris

Passionnée de tech 🌐📸, plaidant pour l'équité de genre dans les STEM.

Paris Sumali Eylül 2022
282 Sinusundan112 Mga Tagasunod
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Scallop
Scallop@Scallopcom·
cards shouldn’t arrive in the mail get yours instantly add it to Apple Pay start spending no delivery no waiting no plastic spend from any currency you hold
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Alexandre Tsicopoulos
Alexandre Tsicopoulos@Alex_Tsico·
L’IA a tellement faim d’énergie qu’on envisage de délocaliser les data centers dans l’espace. L’énergie solaire y est 8 fois plus productive et le vide spatial refroidit les serveurs sans une goutte d’eau. Musk veut 80 000 satellites. Bezos promet des coûts inférieurs au terrestre. Une startup française de 15 personnes l’a déjà fait. Quand la puissance de calcul quitte la Terre, la géopolitique de l’IA devient littéralement cosmique.
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Club 25%
Club 25%@c25_fr·
"Au moins à la banque, je prends pas de risque." Le risque zéro. ⬇️
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Bitstack
Bitstack@bitstack·
🎙️ Bitcoin n’a aucune valeur ! Dans ce nouvel épisode de la série Idées reçues, @StachAlex déconstruit ce cliché et montre pourquoi dire “Bitcoin n’a aucune valeur” en dit souvent plus sur celui qui le dit que sur Bitcoin. 🎧 À regarder maintenant ! 🧷 youtu.be/IupDY0IebLc
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AI at Meta
AI at Meta@AIatMeta·
With Muse Spark, we are on a predictable and efficient scaling trajectory. We look forward to sharing increasingly capable models on the path to personal superintelligence soon.
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ChristineTechie
ChristineTechie@TechGalChris·
@AIatMeta Multi-agent orchestration to beat latency? Clever approach! Parallel thinking scales better than just thinking longer.
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AI at Meta
AI at Meta@AIatMeta·
To spend more test-time reasoning without drastically increasing latency, we can scale the number of parallel agents that collaborate to solve hard problems. While standard test-time scaling has a single agent think for longer, scaling Muse Spark with multi-agent thinking enables superior performance with comparable latency.
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AI at Meta
AI at Meta@AIatMeta·
To build personal superintelligence, our model’s capabilities should scale predictably and efficiently. Below, we share how we study and track Muse Spark’s scaling properties along three axes: pretraining, reinforcement learning, and test-time reasoning. 🧵👇 Let’s start with pretraining. Over the last 9 months, we rebuilt our pretraining stack with improvements to model architecture, optimization, and data curation, enabling us to increase the capability we can extract from every unit of compute. To rigorously evaluate our new recipe, we fit a scaling law to a series of small models and compare the training FLOPs required to hit a specific level of performance. The results: we can reach the same capabilities with over an order of magnitude less compute than our previous model, Llama 4 Maverick, making Muse Spark significantly more efficient than the leading base models available for comparison.
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ChristineTechie
ChristineTechie@TechGalChris·
@AIatMeta 10x moins de compute pour les mêmes perfs ? C'est exactement ce dont l'écosystème IA a besoin. Impressionnant ! 🙌
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Glen Gilmore
Glen Gilmore@GlenGilmore·
Mapped: U.S. States Moving to Restrict Data Centers 11 U.S. states are considering bans and restrictions on data centers, with some calling for studies on their impact. visualcapitalist.com/mapped-data-ce…
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ChristineTechie
ChristineTechie@TechGalChris·
Talents fintech : pourquoi se limiter ? Certains écosystèmes vous attendent vraiment. Moi je dis : restez ouverts aux opportunités. Et vous, vous en pensez quoi ? 🌍
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GODZILCROCK WEB3 SENSEI™️🐊🇨🇭
Momentum is becoming structure. @SolidoMoney AutoFi Log #36 highlights a system actively coming online—not just in theory, but in execution. Governance is now being tested directly with ambassadors, signaling a shift toward community-involved decision-making. At the same time, CASH minting through iAssets is running at full pace, showing that the protocol’s core financial engine is already functional. This isn’t early experimentation—it’s coordinated rollout. The pieces are no longer isolated. They’re working together. Systems in motion💨 $SOLIDO #Defi
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ChristineTechie@TechGalChris·
@CeoAwareness Absolutely! Latency kills real-time apps. Edge + AI opens incredible doors for innovation! 🚀
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agrassoblog.org
agrassoblog.org@agrassoblog·
Clear words guide attention before any product explanation. Terms like free, easy or limited time move perception and shorten the distance between curiosity and action, which pushes teams to choose language with care across campaigns and everyday communication. #Marketing
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Christophe Duhamel
Christophe Duhamel@marmiton_man·
I just launched my autonomous AI company "AiPilot" on @NanoCorpHQ Verification: flux-lnA9
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DIGIT
DIGIT@digitfyi·
Lloyds Banking Group has partnered with IBM to complete what could be the first ever experiment using quantum computing to help identify and catch a money mule network. Full story buff.ly/a0L0uca #Tech | #News | #Quantum
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Catherine Adenle
Catherine Adenle@CatherineAdenle·
Elsevier has been recognised among India’s Top 50 Best Workplaces™ in Health & Wellness 2026: Companies that Care by Great Place To Work®. 🎉Based on insights from over 170,000 employees across 260+ organisations in India. Elsevier remains committed to creating a workplace where well-being is prioritised.💙 bit.ly/4t0mBhi #Elsevier #GPTWCertified #greatplacetowork #Wellbeing #employerbrand #employeeexperience
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stablecon
stablecon@thestablecon·
Yellow Card has positioned itself as one of the strongest stablecoin infrastructure players in emerging markets, with $6B+ processed volume, 35+ countries supported, and 50+ payment currencies. Chris Maurice (@chrismaurice), Co-Founder & CEO of @yellowcardapp, will speak at Stablecon EMEA on how stablecoins are being used across cross border payments, treasury, and liquidity in emerging markets. Are you a Stable Genius?🧠 Join us in Amsterdam, May 19–20🗓️
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