Paco González-Blanch

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Paco González-Blanch

Paco González-Blanch

@fgblanch

Seattle, WA Beigetreten Nisan 2007
5.3K Folgt948 Follower
Andrés Miguel Torrubia Sáez
** WARNING: career is not post-AI secure. ** This path may be vulnerable to "study now, automate later" attacks. ** The human may need to be upgraded.
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Paco González-Blanch
Paco González-Blanch@fgblanch·
@antor No somos conscientes de lo loco que es el mundo. Luego lees el citrinis report sobre Hormuz y no sabes que pensar
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Andrés Miguel Torrubia Sáez
Quantum magnetometry or standard-issue beacon? man.fas.org/dod-101/sys/ac…
Collin Rugg@CollinRugg

NEW: The CIA used a secret tool called "Ghost Murmur" that uses AI to find heartbeats to rescue the U.S. airman who was stranded in Iran, according to the New York Post. The secret technology was allegedly used for the first time in the field, according to the Post. "The secret technology uses long-range quantum magnetometry to find the electromagnetic fingerprint of a human heartbeat and pairs the data with artificial intelligence software to isolate the signature from background noise," the Post reported. "It’s like hearing a voice in a stadium, except the stadium is a thousand square miles of desert," the source said. "In the right conditions, if your heart is beating, we will find you." "The name is deliberate. ‘Murmur’ is a clinical term for a heart rhythm. ‘Ghost’ refers to finding someone who, for all practical purposes, has disappeared..." "Advances in a field known as quantum magnetometry, specifically sensors built around microscopic defects in synthetic diamonds, have apparently made it possible to detect these signals at dramatically greater distances." CIA Director John Ratcliffe appeared to hint at this technology on Monday, saying the CIA possessed "unique capabilities" but said he couldn't "tell you everything that you want to know." President Trump also revealed during the press conference that the CIA spotted the officer from about "40 miles away." Insane.

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Paco González-Blanch
Paco González-Blanch@fgblanch·
US es maravilloso en que otro pais del mundo puedes comprar en Facebook marketplace un smart oruga para la nieve o un hovercraft para tu commute diario
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le.hl
le.hl@0xleegenz·
People who moved abroad alone in their 20s, handled all docs, bank account, visa, tax, jobs, accomadation, and culture difference These people fear nothing anymore
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Bret Taylor
Bret Taylor@btaylor·
Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.
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Paco González-Blanch
Paco González-Blanch@fgblanch·
¡Muy feliz de anunciar la nueva oficina de Sierra en Madrid! En Sierra somos líderes mundiales ayudando a empresas a mejorar su experiencia de cliente con agentes de IA. Después de un año, puedo confirmar que es uno de los sitios más interesantes, divertidos y con mayor densidad de talento en los que he trabajado.
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Paco González-Blanch@fgblanch·
@javilop Guapísimo Javi! La edición fue muy pesada? Probaste algún editor basado en AI?
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Javi López ⛩️
Javi López ⛩️@javilop·
⚡ Acabo de hacer una película con IA de 200.000.000€ en solo un semana. Sí, esto es 100% IA. "Xokas Desencadenado"
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John Collison
John Collison@collision·
.@btaylor is a Silicon Valley legend and currently runs Sierra, which helps companies deploy AI starting with customer service. I was eager to figure out with him how AI productivity will actually be realised: how organisations will roll out the changes, which roles benefit most, and how to keep up with model advances.
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Paco González-Blanch@fgblanch·
Seattle is really showing off today! And the WSF are a national treasure!
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Bret Taylor
Bret Taylor@btaylor·
I’ve been trying to simulate using Codex for the next year and what will change about my perspectives on software engineering as I transition from being a computer programmer to a harness engineer. There are so many, but here are a couple that have stuck with me: Software dependencies - Large open source systems like Linux and MySQL seem like they will remain just as important, but I wonder if I will start to have different perspectives on smaller software libraries when the functionality can be relatively easily produced and tested with AI. Given the past decade of supply chain vulnerabilities and maintenance issues in open source libraries, will it become a best practice to reduce dependencies and write our own where possible? Documentation - When I built a product before, the “specification” was split between docs, Slack, Figma, and Linear — but the vast majority of behavior was specified in code, i.e., the long tail of functionality is an emergent property of the code I write. The conundrum with agent-produced code is that it’s not clear which parts of the code were prompted (i.e., specified) and which parts were “vibed” (i.e., unspecified). That seems problematic when continuously evolving a large system over time because the harness will “forget” past instructions. I don’t think replaying prompts is correct either because in a single Codex session, a good chunk of interactions are interactive and effectively transient. I have an intuition that documentation will be as important of an output of my Codex sessions as code, documenting the substantive product decisions made during my session. Those docs clearly need to be directly in the repo, versioned with the code and available as context for future sessions. The docs / context discussion in OpenAI’s recent post on harness engineering resonated with me and maps to my intuition: openai.com/index/harness-…
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malinvestment.jpeg
malinvestment.jpeg@malinvested·
Of course that's your contention. You're a first-time SaaS bear. You just got finished listening to some podcast, Dario on Dwarkesh, probably. Now you think it’s the end of white collar work and seat-based pricing is screwed. You're gonna be convinced of that til tomorrow when you get to “Something Big is Happening”. Then you’ll install ClawdBot on a Mac Mini, vibe code a dashboard on top of a postgres database and say we’re all just a couple ralph loops away from building a Salesforce competitor. That’s gonna last until next week when you discover context graphs, and then you're gonna be talking about how the systems of record will be disintermediated by an agentic layer and reposting OAI marketing graphics. “Well, as a matter of fact, I won't, because ultimately the application layer is just ….” The application layer is just business logic on top a CRUD database. You got that from Satya’s appearance on the BG2 pod, December 2024, right? Yeah, I saw that too. Were you gonna plagiarize the whole thing for us? Do you have any thoughts of your own on this matter? Or...is that your thing? You get into the replies of anyone posting a SaaS ticker. You watch some podcast and then pawn it off as your own idea just to impress some VCs and embarrass some anon who’s long SaaS? See the sad thing about a guy like you is in a couple years you're gonna start doing some thinking on your own and you're gonna come up with the fact that there are two certainties in life. One: don't do that. And two: you dropped thirty grand on Mac Minis and LLM API calls to come to the same conclusion you could’ve got for free by following a handful of VC accounts.
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Anish Athalye
Anish Athalye@anishathalye·
In January, @jonhoo, @jjgort, and I returned to @MIT_CSAIL to teach Missing Semester, a class on topics missing from most CS programs—tools and techniques that everyone should know, like Bash, Git, CI/CD, and AI tools. Today, we’re releasing the course for free online!
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Paco González-Blanch
Paco González-Blanch@fgblanch·
I've always discussed with my friend @olmobrutall how Software Architect was a such a leaky analogy. Software Engineering was nothing like the Architecture practice. Now with coding agents, it feels the analogy is less leaky. Taste and Aesthetics, Technical understanding, and building techniques seem to be common basic skills to practice both disciplines.
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