Luis Blisete

Digital media, GenAI | Who is Tom Tildrum?

[Luis Blisete @blisete]

—Me gustaría platicar contigo —le dije una vez al gato. Esa noche soñé con él. Íbamos juntos de noche. Yo podía volar y lo llevaba a los tejados y a las copas de los árboles sobre mi espalda.

[Emily Chang @emilychangtv]

We’ve released our full interview with @DarioAmodei

Watch here: https://t.co/Krnpn5fT0o

[Anthropic @AnthropicAI]

Our latest economic research introduces a framework for tracking Claude Code as it scales.

Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds?
https://t.co/IjjwQvrESo

[Dario Amodei @DarioAmodei]

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: https://t.co/Lh6PWae178

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[NotebookLM @NotebookLM]

Want a closer look at today’s launch? Here is a breakdown of what’s new and exciting 🧵:

First up: An upgraded, more thoughtful chat experience.

Powered by Gemini 3.5 and @Antigravity, you will now have better visibility into the AI's thinking process. Plus, each notebook has a secure cloud computer including 100+ curated software skills, unlocking deeper research and more complex analysis.

[The New York Times @nytimes]

Breaking News: Anthropic surpassed OpenAI as the world’s most valuable A.I. start-up, with a valuation of $900 billion. https://t.co/ERFCrHtkZ6

[Papa León XIV @Pontifex_es]

La magnífica humanidad que Dios ha creado se encuentra hoy ante una elección decisiva: levantar una nueva torre de Babel o edificar la ciudad donde Dios y la humanidad habiten juntos. En Jesucristo, esta magnífica humanidad encuentra el camino, la verdad y la vida, abriendo a cada uno de nosotros la vía para crecer hacia la plenitud. #MagnificaHumanitas
https://t.co/Ple93kfbB8

[Hedgie @HedgieMarkets]

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.

My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.

This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.

Hedgie🤗

[TechCrunch @TechCrunch]

Google Search as you know it is over https://t.co/QOiTQ5BMgY

[ClaudeDevs @ClaudeDevs]

Welcome to the team, Andrej!

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[UNAM @UNAM_MX]

La UNAM instala el Consejo Coordinador de Inteligencia Artificial (CCOIA) para que la tecnología avance con perspectiva humanista, dijo el #RectorLomelí.

También afirmó que la Universidad, como institución pública, autónoma y plural, asume la responsabilidad de analizar los avances tecnológicos y guiar su uso en beneficio del interés general.

Este consejo deberá propiciar que la inteligencia artificial sea comprendida no como una fuerza externa e inevitable ante la cual hay que adaptarse, sino como un ámbito de decisión pública y académica, regido por una perspectiva centrada en el ser humano.

Más información > https://t.co/pA6a2oaWvO

@CCOIAUNAM
@Proyectos_UNAM

[ClaudeDevs @ClaudeDevs]

How do you keep Claude working until the job is done? Claude Code helps with this in a few ways, including one we shipped recently: /goal.

[Chrome @googlechrome]

Skills in Chrome are now available. Get started saving and customizing your favorite prompts with our quick tutorial.

What Skill are you saving first? ⬇️

[Adam.GPT @TheRealAdamG]

https://t.co/pmkDoTe9Ug

**NEW: GPT-5.5 Prompting Guide**

"GPT-5.5 works best when prompts define the outcome and leave room for the model to choose an efficient solution path. Compared with earlier models, you can often use shorter, more outcome-oriented prompts: describe what good looks like, what constraints matter, what evidence is available, and what the final answer should contain.

Avoid carrying over every instruction from an older prompt stack. Legacy prompts often over-specify the process because earlier models needed more help staying on track. With GPT-5.5, that can add noise, narrow the model’s search space, or lead to overly mechanical answers.

For more detail on GPT-5.5 behavior changes, start with the Using GPT-5.5 guide. This guide focuses on prompt changes that follow from those behavior changes.

The patterns here are starting points. Adapt them to your product surface, tools, evals, and user experience goals."

[Ethan Mollick @emollick]

Here’s my view on GPT-5.5, which I have been testing for a couple of weeks.

It conducted not-bad social science research on its own, developed a novel RPG & more. There is still jaggedness but GPT-5.5 Pro is (for today) the best model for hard problems. https://t.co/GNh8KXDc2l

[TechCrunch @TechCrunch]

Google updates Workspace to make AI your new office intern https://t.co/bbGWyDLBqS

[Claude @claudeai]

Claude can now build interactive charts and diagrams, directly in the chat.

Available today in beta on all plans, including free.

Try it out: https://t.co/tHPAZRgQkn

[Google @Google]

The next evolution of our autonomous research agent is here. Today, we’re introducing Deep Research and Deep Research Max via the Gemini API.

Powered by Gemini 3.1 Pro, you can now trigger comprehensive research workflows with unprecedented control and transparency, featuring:

🔌 Arbitrary MCP support
📊 Native infographic & chart generation
🌐 Fully cited reports grounded in the open web + your own files and data

All from a single API call. Meet the new agent 🧵↓

[Claude @claudeai]

In Cowork, Claude can now build live artifacts: dashboards and trackers connected to your apps and files.

Open one any time and it refreshes with current data.