Lead Data Analyst at @socialtrackcl 📉 | Productivity Enthusiast📓 | @udechile⚽ & @spurs🏀

Tucson, Arizona, USA.
Joined July 2009
José T. Fernández retweeted
dots + codex 🤝
Replying to @ChatGPT
Delegate work in Codex to your dot. Your dot can now start work in Codex and follow up on existing threads, drawing on your ChatGPT conversations, Codex threads, and automations. It’s also better at deciding when to keep a thread going or start fresh. Your dot can also review and edit Scheduled Tasks in ChatGPT Work, too. Ask what’s scheduled or update a recurring task as plans change.
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José T. Fernández retweeted
Now supported in Space pages :)
Replying to @matteing
Math equations / latex rendering
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José T. Fernández retweeted
Day 1/ We have optimized the default speed to be ~50% faster across GPT-6 Astra and GPT-6.1 Sol through the subscription across all our products and partners using Sign in With ChatGPT (including OpenCode, Pi, Amp, Devin, ...). No changes needed on your end and this should be felt within the next two hours.
Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.
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Interesante 👀
Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.
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José T. Fernández retweeted
Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.
All right, we’re locking in. Only things being worked on are simplifications, more efficiency for more usage, groundbreaking features or new models. Sometimes you have to invest ahead of the curve, but feedback is clear that you all want things to get simpler. On it.
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Llevo utilizando intensivamente mi Dot (Mika) desde el anuncio en el #DevDay de @OpenAI @OpenAIDevs, logrando un gran impacto en apenas unos pocos días. Creo que no se habla lo suficiente del combo Dot + Spaces, ya que, si a inicios de año el debate era en torno al Markdown y su eficacia en entornos agénticos, el espacio es el escenario nativo que le da un boost importante al uso de los Dots. Es cierto que nunca usé de forma frecuente alternativas como Hermes, OpenClaw, etc., ya que nunca vi una necesidad real en mi workflow en Codex. Con Dots el caso es distinto: Mika puede aprovechar parte del contexto que he ido construyendo en ChatGPT en estos años y es un complemento nativo para Codex, que es mi herramienta principal hoy en día. De hecho, estimo que más del 70% de la actividad que usualmente realizaba en Chrome ya migró al navegador integrado de Codex. Con esa idea de consolidar el trabajo en un solo entorno, rápidamente comencé con Mika a crear diversos Espacios, desde la gestión de mis tareas, proyectos importantes y suscripciones hasta la de mis favoritos y contenidos recopilados. Con estas pruebas, rápidamente entendí porqué publicitaron tanto esta funcionalidad como un entorno de colaboración entre agente y usuario, ya que estas páginas no son solo de información, sino de interacción. En ellas puedo dejar notas a mi Dot para que las vaya gestionando durante el día. Es ideal para trabajo que no requiere una gestión inmediata: puedo seguir trabajando con Mika en una tarea importante mientras otros temas quedan anotados para más tarde. La proactividad se siente real cuando llega una ayuda que no había pedido. Al segundo día de uso, estaba en Chrome revisando una presentación en Google Slides. Era un trabajo por mi cuenta, no había intervención de Codex ni ChatGPT en el documento y, de la nada, recibo una notificación de Mika con todos los puntos que merecían una corrección en las diapositivas posteriores a la que yo estaba revisando. Este momento me llevó a implementar diversos Espacios y sacarle provecho a esta proactividad. El modo de voz es otro tema que destaca de maravilla. Debo reconocer que, como a muchos, me generó ruido que esta forma de interacción fuera una “llamada telefónica”, pero con el paso de los días me hizo mucho sentido. Piensa en un colega de trabajo: la interacción regular puede ser a través de texto, pero lo importante o urgente merece una llamada. He podido hacer esa distinción de usabilidad en estos días y me siento cómodo con esa forma de trabajo. Se nota que OpenAI está prestando atención al feedback sobre Dots. En el momento en que estoy escribiendo este post, veo mejoras en el avatar, que ahora muestra diferentes animaciones para cuando Mika está pensando, creando o buscando en la web. Son detalles pequeños, pero se agradecen. Mi Dot se transformó rápidamente en mi producto favorito de ChatGPT! Espero ansioso la implementación de Presentaciones y Hojas de Cálculo en los espacios, porque se me ocurren muchos casos de uso desde ya. Excelente trabajo @thsottiaux @victornunez @embirico!!! 👏🏼👏🏼👏🏼
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José T. Fernández retweeted
tune in for the keynote tomorrow 🔥🔥 10AM PT
We saved you a seat. See you tomorrow for the OpenAI DevDay keynote: openai.com/live/
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José T. Fernández retweeted
Get ready.
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o 👀
72 hours to OpenAI DevDay. We’ve been building. Time to show our work.
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José T. Fernández retweeted
Contra to what some are saying, “pacing the frontier” is great for open models and, if anything, (likely) bad for frontier firm bottom line in the short term. But it’s good for the medium term economics of entire ecosystem. Frontier closed firms operate on a ~6 month window when their models can do economically valuable tasks that open frontier can’t. This 6 month window isn’t static, it needs to keep moving forward for frontier to stay ahead. Pacing allows open firms to catch up, which may hurt closed model firms’ margins. But this myopic. This model is incomplete because it does not include safety: racing to widen the frontier window increases risk and accidents (eg hugging face is an early preview). If frontier keeps racing and there is a significant incident, this will bring a multi-pronged backlash including regs that may cripple the entire ecosystem, including economics of the closed labs themselves. So pacing frontier is a good idea for medium/long run economics. This is just speaking to the economics, obviously many other factors in play.
for the skeptics in government and elsewhere: “pacing the frontier” will compress the margins of the frontier labs. it is a heavy cost imposed asymmetrically on model developers with the strongest AIs in America. by its nature, it would be a terrible regulatory capture tactic
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José T. Fernández retweeted
New post on the blog, featuring the excellent @ben_moll There’s been tons of discourse on how AI will contribute to economic growth, with many people closest to the technology predicting double digit increases. Are these forecasts likely? Probably not. The blog goes through the economics for why exploding improvements in capabilities (which technologists have been largely right about) may not translate to explosive growth. Ben’s thread covers this in detail, but gist is that: 1) there is nothing in economic growth models that prevents AI from leading to explosive growth but 2) this trajectory relies on a series of assumptions that are unlikely to hold in the real world. For example, one assumptions is likely to be violated because of a pretty counterintuitive feature of structural change: the sectors that become automated become smaller parts of the economy (because they’re cheaper, people become richer, and spending moves to non-automated parts of the economy). This, plus other features of the economy, is what will likely cause the trend of huge increases in capabilities coupled with “only” 4-5% growth (which is huge, btw) to continue. Here is the link: aleximas.substack.com/p/will… Looking forward to hearing thoughts/feedback!
New essay on @alexolegimas's blog: Will AI Soon Deliver Double-Digit Growth? Probably not. Here is why. aleximas.substack.com/p/will… 1. We outline the economics behind oft-discussed predictions that AI will soon deliver double-digit GDP growth in advanced economies. We list the assumptions that need to all hold in order for double-digit growth to happen and explain why we think they won’t. 2. To be clear: we are extremely bullish on AI and think the capabilities explosion predicted by technologists is already happening (e.g. yesterday's Navier-Stokes news!). But predictions of GDP growth in the 2030s of 15%, 30% or even 100% per year are off the mark. What we take issue with is the timeline. To paraphrase Milton Friedman's dictum on monetary policy, AI will affect GDP growth with "long and variable lags." 3. Start with some growth rate arithmetic. It is often much more useful to first think in levels rather than growth rates. Ask yourself: how much richer will we be in, say, 15 years? If you think twice as rich, that implies 4.7% annual growth, which would already be massive. Ten times as rich requires 16.6% per year; it would also imply that we are 100 times as rich 30 years from now! Asked in levels, we bet that most people would come up with much lower growth rates. 4. It's important to be clear: there is absolutely nothing in standard growth theory that constrains growth rates to be in the single digits. In fact, it's pretty easy to write down theoretical models that deliver explosive double-digit growth. We show this by writing down a standard textbook growth model of the type we routinely teach our undergrads (a souped-up Solow model), plug in some seemingly innocuous parameter values, and get AI-driven double-digit growth by the mid-2030s benjaminmoll.com/task_based_…. The basic logic is that, by replacing labor with capital, automation alleviates / eliminates diminishing returns and removes labor as a bottleneck on growth. Fancier models, in which AI also automates R&D, deliver even wilder numbers. 5. But just because something is possible in theory doesn't mean it will happen in practice. The explosion rests on five assumptions, and each is unlikely to hold within the next 10-15 years. These assumptions are: Assumption 1: Fast, economy-wide automation, with machines doing two thirds of all tasks by 2035. Historically, automation has proceeded at about 2% of tasks per year. Most work is physical, not cognitive. And politics will slow things down. Assumption 2: People keep spending on whatever gets automated. They don't. As things get cheap, their share of spending falls, as it did for agriculture and manufacturing. Messy jobs, relational goods and scarce physical inputs like energy, chips and land become the new bottlenecks. Assumption 3: Someone buys the new output and firms invest to produce it. Automation shifts income from workers to capital owners, who spend a smaller share so demand may not keep up with supply. Assumption 4: No AI-driven cyber incidents destroying economic value. AI can also destroy output, and every incident slows deployment and investment. Assumption 5: Explosive technology growth because AI automates R&D. The wildest scenarios in which the economy doubles each year all rest on this feedback loop. There is no evidence for it so far. Why do many people who are closest to the technology (and who have been consistently right about the capabilities explosion) consistently predict double-digit growth? Our best guess: they extrapolate from their own sector to the rest of the economy. This reminds me of the 2022 German gas debate: industry insiders were right about their own firms and very wrong about the economy as a whole. Our bottom line: a much more likely outcome is a large increase in the level of GDP spread over a decade or two, which is what 4-5% growth is. If you remain unconvinced and still believe in double-digit growth, we are still looking for counterparties for our bet benjaminmoll.com/growth_bet/ 😃
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José T. Fernández retweeted
Hi Astra users. A reset and a quick update on quality issues that have been posted around. Working with some of you, we have found and fixed the following issues: - Some skills written for previous models were triggering too often or preventing the model from checking its work. - An opt-in context management experiment that could cause early stops or replies to older messages. We've disabled it. Our rough estimate is that 4-5k users were affected by this experiment. - We've also removed some badly configured engines that resulted in a measured quality degradation for a long tail of traffic flowing through them. We’ve also made some more minor improvements and things should feel significantly better across the board. More consistent follow-through, better tracking of your latest message, and better checks on the work as it’s going through the motions. The examples posted and all the users who worked directly with us were incredibly useful in helping fix things quickly. Always grateful for this incredible community. And of course, a reset is also landing by midnight today.
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José T. Fernández retweeted
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want
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José T. Fernández retweeted
Astra was probably our biggest competitive advantage while it wasn’t generally available. Since we’ve had it our productivity jumped so much that we shifted some of our plans 6 months ahead and will ship them at DevDay instead of mid next year.
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José T. Fernández retweeted
astra, build this for me back home in DR 🇩🇴 make no mistakes.
I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.
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José T. Fernández retweeted
We will give one banked reset for every day you don't have access to Astra on your paid ChatGPT plan, starting today. Team is moving mountains to give access as fast as we can. First one will land in ~ 3 hours. There is still time to create your account if you don't have one.
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José T. Fernández retweeted
We are starting to release GPT-6 Astra and we are doing it as carefully and quickly as possible. It was very important to us that we bring it to all Plus users and not only Pro, Business and Enterprise. It will take a few days for the rollout to complete and behind the scenes many novel systems will operate at scale for the first time and we are bringing a lot of compute up. It is pure magic. openai.com/index/gpt-6-astra…
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José T. Fernández retweeted
A new star enters the Chat. Meet GPT-6 Astra.
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José T. Fernández retweeted
ChatGPT just got an infinite canvas. Our MagicPath plugin is now live in ChatGPT across web and desktop, thanks to our friends at OpenAI. Visualize code. Build landing pages, prototypes, and presentations. Draw diagrams and graphs. All on one live, shared canvas.
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