Tecnología

Día Uno

1

Día Uno

Tech Santos
Hard Fork

2

Hard Fork

The New York Times
Machine Learning Street Talk (MLST)

3

Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)
Acquired

4

Acquired

Ben Gilbert and David Rosenthal
Emilcar Daily

5

Emilcar Daily

Emilcar
Cafe con Victor

6

Cafe con Victor

Victor Abarca
Inteligencia Artificial

7

Inteligencia Artificial

Pocho Costa

hace 4 días

1

La Crisis le Pegó a Apple

#9 | Día Uno: Desglosamos los cambios en tecnología para que los aproveches en tu negocio y en tu vida. Hosted on Acast. See acast.com/privacy for more information.

hace 4 días

•

2 h y 26 min
4 may

2

The AI Models Smart Enough to Know They're Cheating — Beth Barnes & David Rein [METR]

Beth Barnes and David Rein on the one graph that ate the AI timelines discourse, and why the two people who built it are the most careful about how you read it.**SPONSOR**Prolific - Quality data. From real people. For faster breakthroughs.https://www.prolific.com/?utm_source=mlstInterview: https://youtu.be/cnxZZTl1tkk---Beth Barnes and David Rein from METR on the one graph that ate the AI timelines discourse, and why the people who built it are the most careful about how it gets read.Beth founded METR after leaving OpenAI alignment. David is first author on GPQA and co-author on HCAST and the METR Time Horizons paper. Together they built the measurement Daniel Kokotajlo called the single most important piece of evidence on AI timelines: the log-linear line of "how long a task a frontier model can complete at 50% reliability" vs release date.The conversation opens on reward hacking. Current models can articulate in chat why a behaviour is undesired and then execute it anyway as agents. From there: construct validity, Melanie Mitchell's four-problem taxonomy, and the ARC-AGI 1-to-2 collapse as a worked example of adversarially-selected benchmarks regressing once labs target them. Beth's counter: METR deliberately does not adversarially select. David's: models do not have to do the right thing for the right reasons.Methodology, then specification — David's compiler analogy, Beth on four-month tasks as expensive to evaluate rather than unspecifiable. Then the SWE-bench reality check, the METR finding that half of passing PRs would not be merged, and Beth's horses-versus-bank-tellers analogy for the labour market.The close: monitorability, the coin-spinning boat, two-year recursive self-improvement, and Beth's line that "overhyped now" and "big deal later" are not correlated claims.---TIMESTAMPS:00:00:00 Intro00:02:06 Sponsor break: Prolific human-feedback infrastructure00:02:33 Welcome and the scalable oversight motivation00:06:02 Construct validity, benchmark pathologies and the Chollet worry00:15:45 Time Horizons: human time, HCAST tasks and the 50% logistic00:24:50 Is human difficulty really one variable?00:33:05 Agent harness evolution and the inference-compute dividend00:40:00 Scaffolding bells, token budgets and the credit-assignment problem00:44:15 Look at the damn graph: regularisation bug and reliability nuance00:50:00 Why 50%? Reliability, reward hacking and pizza-party transcripts00:55:20 Extrapolation risk and straight lines on graphs00:59:25 Software engineering as a specification acquisition problem01:07:40 Compilers also made ugly code: vibe-coding quality and Claude on METR Slack01:15:15 Strongest defensible claim, Carlini's compiler swarm and AI 202701:23:45 SWE-bench merge rates, the bank-teller analogy and horses01:31:45 Scheming, alignment faking and the mentalistic vocabulary problem01:40:45 Reward hacking, monitorability and chain-of-thought faithfulness01:45:25 Recursive self-improvement, knowledge vs intelligence and closing ReScript: https://app.rescript.info/public/share/de3bb40cc02ee39fdf36e2c60366eb4d (PDF, refs, transcript etc)

4 may

•

1 h 53 min
hace 5 días

3

‘Hard Fork’ Live, Part 3: Differing Visions of an A.I. Future

We’re back with our final installment from Hard Fork Live, recorded at the Yerba Buena Center for the Arts in San Francisco. In this episode, we’re joined by Sayash Kapoor and Daniel Kokotajlo to talk about their differing visions of A.I. transformation: why Sayash thinks A.I. will diffuse throughout society like a “normal” technology, and why Daniel thinks an unprecedented acceleration is just around the corner. Then we’re joined by George Ekas from Toborlife AI, along with his dancing robot Toby. Finally, the podcaster Dwarkesh Patel drops by, and we take a few questions from the live audience. Guests: Sayash Kapoor, an A.I. researcher at Princeton University and a co-author of the newsletter “AI as Normal Technology” Daniel Kokotajlo, the executive director of the AI Futures Project and a co-author of “AI 2027” George Ekas, the director of engineering at Toberlife AI Dwarkesh Patel, a tech podcaster Additional Reading: This A.I. Forecast Predicts Storms Ahead AI as Normal Technology Common Ground Between AI 2027 & AI as Normal Technology Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

hace 5 días

•

56 min
hace 2 días

4

The Walt Disney Company

The Walt Disney Company is the most successful enterprise ever created for monetizing human nostalgia. Today it’s the king of global entertainment, holding the intellectual property rights to the childhood memories of billions of people (including, likely, all of you) and is a reliable, predictable profitable business. But it didn’t start that way. During Walt’s era, Disney operated like an unhinged moonshot factory, blowing its finances on one seemingly crazy project after another, like the very first feature-length animated film or a theme park inspired by Walt's fascination with model trains (spoiler: Disneyland). Walt’s relentless ambition to bet the company over and over again not only created some of the most monumental artistic achievements of the 20th century (Snow White, Fantasia, Disney Imagineering), but also resulted in the accidental invention of the modern “flywheel” business model. In this episode, we tell the story of the ultimate marriage of art, commerce, and engineering — The Walt Disney Company: Walt's Era. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. MorganWeAreDevelopers eventVercelServiceNowStatsigLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Acquired Disney Companion PDFOur Disney column in WSJThe original 1958 WSJ “Flywheel” article"Walt Disney: The Triumph of the American Imagination by Neal GablerThe Animated Man by Michael BarrierWalt Disney: An American Original by Bob ThomasBuilding a Company: Roy O. Disney and the Creation of an Entertainment Empires by Bob ThomasThe Disney Version by Richard SchickelPBS American Experience: Walt DisneyDisneyland HandcraftedWalt's 1966 EPCOT pitch videoWorldly Partners' Multi-Decade Disney StudyThe Walt Disney Family MuseumAll episode sourcesCarve Outs: Brooks Vanguard sneakersDefunctland YouTube ChannelAnimagraffs YouTube ChannelVolvo EX30The San Francisco SymphonyMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00 Start01:10 Intro06:03 Walt's Early Life & Artistic Calling (1901-1919)12:22 From Commercial Art to Laugh-o-grams (1919-1923)23:05 Hollywood, The Alice Comedies & Oswald's Loss (1923-1928)43:27 Mickey Mouse & The Synchronized Sound Breakthrough (1928)01:01:21 The IP Flywheel & Mickey Merch Explosion (1929-1933)01:09:57 Flywheel Terminology Unpacked01:18:53 Snow White: Walt's $1.5M Folly (1934-1937)01:52:01 The Burbank Studio, Debt & Strike (1938-1941)02:04:28 The Animators' Strike & Walt's Disillusionment (1941)02:15:43 WWII, The Vault & Creative Slump (1941-1950)02:24:27 Post-War Slump to Cinderella's Comeback (1945-1950)02:33:48 Walt's Obsession: Model Trains to Disneyland (1950-1952)02:38:44 Financing Disneyland: ABC, SRI & Davy Crockett (1953-1955)03:17:05 Disneyland's Grand Opening & The Evolving Flywheel (1955-1958)03:41:55 The Florida Project & Walt's Last Dream (1961-1966)03:54:26 Walt's Untimely Death & Roy's Legacy (1966-1971)03:57:57 Roy Finishes Walt Disney World (1966-1971)04:01:09 The Post-Walt Slump & Corporate Raiders (1970s-1984)04:09:44 Analysis: Why No Other Disney Flywheels?04:17:15 7 Powers04:20:45 Quintessence04:23:50 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

hace 2 días

•

4 h y 31 min
hace 1 día

5

Ya está aquí la Steam Machine

Desde hace algunas semanas se sentía la llegada de una conmoción en el mundo del videojuego y ya está aquí, el lanzamiento más esperado de 2026, la Steam Machine. Te lo cuento en este capítulo 2992. ¿Quieres más de Emilcar Daily? Suscríbete a Emilcar Daily Premium desde emilcar.fm/daily y disfruta de capítulos exclusivos los lunes y viernes, además de sonido en HD, acceso anticipado y sin publicidad. Todo esto en tu aplicación de podcasts favorita.

hace 1 día

•

10 min
04/09/2023

6

La importancia de darte tiempo para ti (ft. Luis VlogsPaper)

¿Existen las vacaciones para los youtubers? ¿Puede desconectar un vlogger de lifestyle? ¿Se olvidarán el algoritmo y la comunidad de nosotros si nos vamos a la playa? En este nuevo episodio de Café con Víctor he querido reflexionar sobre todo lo que rodea a la desconexión, la necesidad de vacaciones, el síndrome de burnout y la salud mental. Y lo he hecho acompañado de VlogsPaper, un creador de contenidos que logró superar al algoritmo y ha desconectado por más de un año. --- Send in a voice message: https://podcasters.spotify.com/pod/show/victorabarca/messageSupport this podcast: https://podcasters.spotify.com/pod/show/victorabarca/support Hosted on Acast. See acast.com/privacy for more information.

04/09/2023

•

1 h 2 min
12 jun

7

Elon Musk ¿el más rico de la historia? y la nueva Siri AI

#8 | Día Uno: Desglosamos los cambios en tecnología para que los aproveches en tu negocio y en tu vida. Hosted on Acast. See acast.com/privacy for more information.

12 jun

•

2 h y 13 min
21 feb

8

#146 AI Agent Team: orchestrati , interoperabili, governabili con Human In the loop (Antonio Squeo))

Hevolus ha creato una piattaforma che unisce AI e XR per portare l’intelligenza artificiale dai prototipi ai processi reali delle organizzazioni. La nostra visione è chiara: trasformare le aziende in aziende agentiche, dove l’AI non si limita a rispondere, ma lavora, collabora e completa attività operative in modo misurabile, rapido e scalabile. Questa visione si concretizza in XR Copilot by Hevolus — powered by Microsoft Foundry, una piattaforma pensata per creare, orchestrare e distribuire sistemi multi-agente 🎧 Scopri di più su www.latechmadeinitaly.com 🎬 Post-produzione a cura di Likeabee Creative Company

21 feb

•

29 min
hace 1 día

9

Claude Mythos, OpenAI y la economía de la IA

Treinta días que mostraron de qué se trata ahora la inteligencia artificial. Salió el modelo más potente de la historia y el gobierno de Estados Unidos lo frenó a los tres días. Anthropic levanta casi un billón de dólares, SpaceX hace la salida a la bolsa más grande de la historia y Google sale a buscar 80 mil millones. Mientras tanto, Microsoft pone IA en las manos de cientos de miles de empleados y OpenAI invierte 150 millones para formar 300 mil consultores en todo el mundo. ¿Qué tienen en común todas estas noticias y por qué te importan a vos aunque no programes? En este episodio te lo cuento, noticia por noticia, sin vueltas. Origen

hace 1 día

•
18/08/2023

10

METADATA | E215: ¿Para eso querían IA en todos lados?

Llega el episodio 215 de METADAT, el podcast de tecnología del Grupo RPP. En esta sesión abordamos el problema al que nos enfrentaremos pronto: la escasez de chips de IA debido a la alt demanda y el acaparamiento de componentes. Además, comentamos las nuevas normas que Google impone a los constructores de teléfonos plegables ne el futuro.

18/08/2023

•

44 min

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