Angel Faus

352 posts

Angel Faus

Angel Faus

@angelfaus

VPE at Clio, prev CTO & co-founder at vLex. Quest: AI that knows the law and how to apply it

Barcelona Katılım Temmuz 2008
1.5K Takip Edilen345 Takipçiler
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Lluis Faus
Lluis Faus@lfaus·
Today marks an exciting new chapter for vLex. We’ve officially joined @Clio, completing our acquisition, and together we’re accelerating a shared mission to transform the legal experience for all.
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Harrison Kinsley
Harrison Kinsley@Sentdex·
Quite the chart
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Jack Newton
Jack Newton@jack_newton·
I am thrilled to announce @goclio is acquiring @vlex, marking a new era in AI-powered legal technology. We’re bringing together legal research, practice management, and advanced AI to create the first end-to-end platform that unites the business and practice of law 🚀 clio.com/about/press/cl…
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Angel Faus
Angel Faus@angelfaus·
@martinvars We don’t yet know the cause of Spanish blackout but worth saying that Spain has virtually zero battery capacity (compare with California) and the regulator has not done work to allow batteries to do grid frequency stabilisation services so no grid forming batteries at all
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Martin Varsavsky
Martin Varsavsky@martinvars·
My co-founder Miguel Salis and I built Eolia Renovables, a company focused on large-scale solar and wind farms that we sold for €1.1bn, followed by Barter Energy, which pioneered solar rooftop communities. While we successfully exited both ventures—Barter Energy just yesterday—I’ve grown deeply critical of the renewable energy paradigm. My perspective stems not from ideology but from firsthand experience and reflection on the unintended consequences of our work. The apocalyptic climate projections of the early 2000s, which drove much of the renewable push, caused significant psychological harm, instilling fear in millions. These predictions—often overstated—have largely failed to materialize. Yes, CO2 emissions have contributed to more frequent extreme weather, but the scale of the threat has been exaggerated. Today, extreme weather claims roughly 60,000 lives annually worldwide, a tragic but relatively small number compared to the 1 million deaths from car accidents. Yet, policies rooted in climate alarmism have justified impoverishing citizens, particularly in Europe and Spain, where energy costs have soared, doubling those in the U.S. High energy prices breed poverty, erode industrial competitiveness, and leave nations unprepared for the energy demands of transformative technologies like AI. I now believe large-scale solar and wind, as pursued by Eolia Renovables, were a mistake. These projects razed forests, destroyed beautiful landscapes, and uprooted centenarian olive trees—environmental devastation in the name of "green" energy. The result? An inefficient, intermittent energy system dependent on massive government subsidies, prone to blackouts, and incapable of meeting modern energy needs. Europe’s energy policies have prioritized ideology over pragmatism, with Germany’s “energy suicide” serving as a stark warning: its industrial base now teeters on collapse due to unreliable and costly energy. I’ve shifted my support to new nuclear energy, which is clean, reliable, and environmentally benign. Unlike wind and solar farms, nuclear doesn’t require sprawling land use or ecosystem disruption. It’s the backbone we need for a stable, affordable, and sustainable energy future. The only renewable I still endorse is rooftop solar paired with battery storage, like the Elon Musk vision of Tesla Powerwall, solar roofs, and electric vehicles. Rooftop solar minimizes environmental impact—using existing structures—and enables localized energy production and consumption. It’s a practical solution that reduces reliance on fossil fuels and cuts air pollution, which kills 100 times more people than extreme weather. My skepticism of climate alarmism is rooted in history. In the 1970s, the Club of Rome’s report predicted global starvation by 2000—a terrifying falsehood debunked by advances in agricultural technology. Today’s climate narrative feels eerily similar. The 1.5°C of warming we’ve seen is manageable—Washington, D.C., is 1.5°C warmer than New York City, yet both thrive. Dire predictions, like Madrid turning into the Sahara, clash with reality: Spain is experiencing its wettest spring on record in 2025. Miami’s hurricane risk remains unchanged from the 1980s. These discrepancies expose the limits of long-term climate modeling. If we can’t predict next year’s weather with precision, how can we trust forecasts decades out? Fossil fuels—coal, gas, and oil—should be phased out thoughtfully to reduce emissions, but not at the expense of economic stability. Europe’s rush to renewables without a viable backup has crippled its economies. We must prioritize energy policies that balance environmental goals with affordability and reliability. Nuclear and rooftop solar offer a path forward; dogmatic renewables and fear-driven policies do not. Let’s learn from Germany’s mistakes and build an energy future that powers progress without sacrificing prosperity
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Yishan
Yishan@yishan·
Reply with something you believed very strongly in but then changed your mind about once you learned more.
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Angel Faus
Angel Faus@angelfaus·
@casasnuria @innovamat_cat Soc pare d’alumnes que han fet Innovamat bastants anys i n’estic satisfet. Et diria que és molt menys “alternativa” del que es diu a xarxes. Simplement és invertir una miqueta de temps fixar conceptes, motivar estratègies i desenvolupar la habilitat de resolució de problemes.
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Núria Casas Muñoz
Núria Casas Muñoz@casasnuria·
Acabo d'assistir a una sessió d'@innovamat_cat per aplicar matemàtiques a la classe del meu fill d'I3 i algunes consideracions al respecte. (obro fil)
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Angel Faus
Angel Faus@angelfaus·
@peremacias1 Creus necessaria una (contra)reforma tarifària? Em referixo a si la tarifa plana de la t-usual genera mobilitat extra enlloc de captar la del vehicle privat
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pere macias i arau
pere macias i arau@peremacias1·
I, finalment, el bon ritme d’execució del Pla de Rodalies, amb més de 3500 M mobilitzats. Ben aviat veurem els primers trens nous! (4)
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pere macias i arau
pere macias i arau@peremacias1·
L’increment de població, l’augment de la mobilitat i les polítiques de descarbonitzacio del transport estan provocant un fort augment de l’ús del transport públic. A BCN és molt evident la saturació de tots els sistemes de TPC (1)
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javi santana
javi santana@javisantana·
Charlaza de @fxn Es lo radicalmente opuesto a mi forma de trabajar y como creo que hay que hacer software y seguramente sea lo bonito de esta profesión youtu.be/cKxfaHfiZyc
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vLex
vLex@vlex·
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Isaac Llopis
Isaac Llopis@isaacllopis·
@DaniCetra Diputació amb Enric Granados. Possiblement la cua és pel delacrem i no pel lloc hipster de brunchs. I els pollastres són a Pi i Margall, una mica més amunt de Sardenya.
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Dani Cetrà
Dani Cetrà@DaniCetra·
Diumenge. Les dues Barcelones.
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Ed Walters
Ed Walters@EJWalters·
I'm very excited to announce that the American Association of Law Libraries (@aallnet) has named Vincent AI from @vlex / @fastcase the 2024 New Product of the Year! This is the first generative #AI tool to win the honor, and the third time a Fascase product has been honored (callouts to 2010 for the Fastcase iPhone app, and 2014 for the integration of Fastcase and HeinOnline). Apparently there were a record number of nominees this year, so we're extra honored to be recognized. We can't wait to thank AALL members in person at the Annual Meeting in Chicago this summer! #legaltech #lawlibraries #GenAI #generativeAI
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Angel Faus
Angel Faus@angelfaus·
@Rquebus @DegenRolf “Within individuals” would look into the effect when someone not previously exposed becomes exposed, whereas “between individuals” is about comparing groups as a whole.
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Rquebus
Rquebus@Rquebus·
@DegenRolf I don't understand what is meant by the "within-individual" and "between-individual" models and how they differ.
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Rob Eisenberg
Rob Eisenberg@EisenbergEffect·
Happy Easter! This Easter is one that will stand out among all my days. I began the weekend by attending my church's Good Friday service with my family. The music was beautiful and helped my heart once again attempt to grasp the depth of God's love in Christ on the cross. On Holy Saturday, my family had the special pleasure to attend a concert by @AndrewPeterson, as the final stop on his Resurrection Letters tour. My wife and I have been listening to Andrew's music for many years, have read his books, backed his Kickstarter's, etc. So, it was amazing to be able to hear him in person and be guided by his music through the life, death, and resurrection of Jesus. This Easter morning, for the first time in in a long time, I'm playing drums in our church's Easter service. I've suffered through various physical brokenness over the last several years. Two years ago, I wrote to my worship pastor that I had to step away from playing music, thinking I might never be able to play drums again due to my injuries. So, today I celebrate kind of small resurrection in my own body, being able to play music again. (I'm off to our early morning run-through now!) And as we leave this holy week, in the next few days my wife will go through a major surgery. It is the last (more or less) phase in a comprehensive plan to treat her stage 3 cancer. We've walked that path with hope and will continue to do so. Not just a hope for temporary healing to a mortal body, but with eyes fixed on Jesus, who one day will bring resurrection life to my wife and all who trust in him. Grace and Peace. I love you all. He is risen!
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Oriol Vinyals
Oriol Vinyals@OriolVinyalsML·
To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code in one go and correctly answer questions about it: -When we asked Gemini to find the top 3 examples within the codebase to help us learn a specific skill, it looked across 100s of possible examples and came back with super-relevant options. Understand ✅ -Gemini was able to locate a specific animation from within the set, correctly reason and explain what code is used to control it, and show us exactly how to customize that code to make a specific adjustment to the animation. Code ✅ -Given only a screenshot from one of the demos in the codebase, Gemini was able to find the right demo - and then clearly explain how to modify the code to achieve a specific change to the image. Edit through images ✅ -When we asked Gemini about changing the text and style in an example, it identified the exact lines of code to change, showed us how to change them, and gave an explanation about what had been done and why. ✅✅✅ Just a few examples of what’s possible! Even more info and examples in the blog. Obviously, like with any machine learning model, it sometimes doesn’t get it right. That’s why Humans + AI is the real deal! Blog: blog.google/technology/ai/… Congrats to the teams for this drastic model! 1.5 🚀 ♊💙
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