Nous dévoilons aujourd'hui un nouveau projet avec la même recette : fournir gratuitement une donnée peu transparente ou vendue à prix d'or !
Découvrez Pappers Immobilier : la première plateforme transparente, gratuite et complète dédiée à l'immobilier
https://t.co/UynwMLmsP8
One of the bigger mind-bends in tech is how Spotify never *truly* used the Spotify model (they iterated and moved on). The #1 ranking search result is Atlassian indirectly promoting this tooling with it.
We now have companies thinking they are copying Spotify: but they are not!
Introducing Gemini 1.0, our most capable and general AI model yet. Built natively to be multimodal, it’s the first step in our Gemini-era of models. Gemini is optimized in three sizes - Ultra, Pro, and Nano
Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks. With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU.
https://t.co/yCsjfQKO9F
World Energy Outlook 2023 is out now! 🚨
Our analysis shows the energy world is set to change significantly by 2030, based on today’s policy settings alone. But stronger efforts will be needed to keep 1.5 °C in reach.
Read more in #WEO23 ⬇️ https://t.co/HZql5jUYTY
Love this paper - their framework is essentially what I’d call a “role based reasoning algebra” for data transformations
It encapsulates a point I’ve been making for awhile that a single superintelligence is highly suboptimal - most problems humans solve are NP complete and need to be solved via iterative loops, and our role based human architectures approximate optimal meta cognitive structures over information transformations
https://t.co/yTTZyLTtvW
the absolut last thing im going to say to this TS saga
- im proud of dhh for building rails and getting companies to billions in market cap. its a huge achievement
- what worked in the past does not mean its the best in the future (i.e. adobe flash has probably generate billion dollar companies and was rightfully removed from web)
- we need to stop pretending adding types is like a crazy effort, its not building a rocket, 99% its adding simple definitions to your parameters
- adding types is closer to "using your seatbelt" in a car vs riding in a tank (it typically takes a few seconds and will safe your life)
- stop glorifying "you can migrate later" when getting started the right way is so little effort
- there is no long-term "study" to show writing types makes you slower. if anything, getting types inferred, having a typed API, auto completion, auto imports, etc. makes you faster
- type incrementally: you dont need the most crazy generic types in the beginning. use simple types to prevent car crashes and if you are stuck, use "any" to keep going. nobody cares if a codebase has a few "any"s and its a great way to ship safe and fast while refactoring some "any"s later on when you have the time
- migrating incrementally (from any to no-any) is SOO much better than migrating from Rails or JS to a typed system
- look, there is a lot of "religious" belief in tech. android vs iphone, JS vs TS – i am really not religious. If there is something better than TS, i am happy to churn.
but please, everyone, have a realistic view on typeless in 2023 and realise its likely not that much effort to add types and will safe you a ton of headache later
for https://t.co/svpVpBOIvu, we've only been able to ship at this insane rate *because* we had a good type system that people can rely on.
shipping safe makes you ship faster
The First Room-Temperature Ambient-Pressure Superconductor:
A material called LK-99, a modified-lead apatite crystal structure, achieves superconductivity at room temperature.
Is hydrogen a key part of the world’s energy future or a dangerous fata morgana? It is a question on which tens of trillions of dollars in investment may end up hinging.
Lates piece for @ForeignPolicy apropos of the debate on Lanz the other night.
https://t.co/KmFuc2jwCs
🏆Nous sommes fiers d'être les lauréats du Concours Innovation #iPhD ! Merci au @gouvernement, à l'@ADEME et à @Bpifrance pour leur soutien et au programme #France2030. Cette victoire représente une étape importante pour l’évolution de notre startup ! #France2030
New piece from @ballmatthew on the staggering amount large companies are investing in order to try and build massive new platforms and/or ecosystems.
He estimates Reality Labs cumulative losses at $49B, Alexa at $42B and Google Cloud at over $30B.
https://t.co/2JKE7isGLc