Inpi retweeted
Sama is talking about the industrial explosion:
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🚨 Chinese state-sponsored hackers used AI-powered ARTEX to target over 200 organizations worldwide.
CrowdStrike confirms post-exploitation at nine, including deployment of BLOODALCHEMY malware.
AI agents ran parallel attack paths under human direction.
Full story: thehackernews.com/2026/10/ch…
Inpi retweeted
SITUATION EXPLAINED: MIT researchers got AI models to talk in "neuralese" instead of words, and it could end our best way of checking what AI is thinking.
• Normally one AI writes a summary for the next AI to read, but MIT's "Swarm Telepathy" hands over the first model's internal working memory directly
• A small translator network converts that memory between different model families, like Qwen, Llama and Gemma, without retraining either model
• It beat models talking in plain text by 40% in accuracy on average and ran about 4x faster
• It even passed image understanding from a vision model to a model that can only read text
• Chain-of-thought monitoring means reading the reasoning a model writes out in English to catch bad behavior before it acts
• In 2025, dozens of researchers from OpenAI, Anthropic and Google DeepMind warned in a joint paper that this window into AI reasoning is "fragile" and could close
• AI safety researcher @davidad predicts chain-of-thought monitoring will be "unambiguously over" by early 2028
@theojaffee: "Instead of models having a chain of thought where they write in English, they will just think in neuralese in the inscrutable matrix of floating-point numbers that make up the KV cache."
MITの研究者らが、AI同士が言葉を使わず頭の中の状態を直接渡して通信する仕組みを作り「テレパシー」と名付けました。
文章でやり取りするより平均40%正確で4倍速かったといいます。
また「画像を見られるAI」が写真の内容を「テキストしか読めないAI」にテレパシーできるそうです。
写真の内容をテレパシーを受信した「テキストしか読めないAI」は、テキストで説明を渡されるよりも写真についての質問に正しく答えられたとのこと。
なお、別の会社のAI同士でもテレパシーできるようにしたのが今回の研究の一番の新規性のようです。
例：
Meta（Llama 3）→ Alibaba（Qwen 3）
Alibaba（Qwen 3）→ Google（Gemma 2）
Google（Gemma 3）→ IBM（Granite 3）
Google（Gemma 3）→ Meta（Llama 3）
Mistral AI（Ministral 3）→ Meta（Llama 3.2）
Google（Gemma 2）→ Mistral AI（Ministral 3）
IBM（Granite 3）→ Hugging Face（SmolLM3）
Inpi retweeted
A brilliant audit of philosophy's many schools of thought surrounding happiness.
I could listen to Jonny Thomson (@philosophyminis) talk about this stuff for hours. That he managed to distill so many ideas into a coherent, enjoyable 10 mins is bonkers talent. Well done, mate!
2,500 years of happiness philosophy, explained in 10 minutes.
Timestamps:
0:00 - What is the end point?
1:46 - The philosophies of happiness
2:31 - 3 pillars of happiness
3:00 - Happiness ≠ pleasure
4:40 - Moderation
5:53 - Virtue
8:08 - Applying the 3 pillars
Featuring Big Think's Jonny Thomson (@philosophyminis)
Inpi retweeted
2,500 years of happiness philosophy, explained in 10 minutes.
Timestamps:
0:00 - What is the end point?
1:46 - The philosophies of happiness
2:31 - 3 pillars of happiness
3:00 - Happiness ≠ pleasure
4:40 - Moderation
5:53 - Virtue
8:08 - Applying the 3 pillars
Featuring Big Think's Jonny Thomson (@philosophyminis)
Inpi retweeted
Two new DeepMind Institute essays:
What is Work For?
As AI advances how do people value their jobs, for material needs and beyond?
The Economics of Intelligence
When will AI capabilities impact market structure, wages and jobs?
Read the essays here -> bit.ly/dmi_home
Inpi retweeted
You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini.
Easily turn your handwritten notes into a PDF study guide, manually tweak content, highlight sections for Gemini to edit text or visuals, and even ask follow-ups.
🤖 Made with AI
Inpi retweeted
Notebook has just unlocked over 700 textbooks from the world’s leading publishers. Every single one is available to you, completely free of charge! @Gemini_Notebook
Inpi retweeted
Let's take what Sam Altman is saying seriously for a second.
He says the following is within reach:
"Self-replicating data centers, this idea that you can use AI to control robots and run factories and build turbines or solar panels and build data centers. But I think we have that within grasp."
There are currently three major bottlenecks:
- Compute
- Energy
- Human labor
Sam Altman believes this triad of problems will be solved if robots build data centers, solar power or future fusion energy are used to power them, and chip production is simultaneously accelerated. It's certainly unclear whether this is being said to reassure the market and offer a positive outlook. But it would be nothing short of revolutionary if a solution to this triad were within reach, because everything depends on it.
Inpi retweeted
We’ve updated the Model Spec, our public description of how we want our models to behave. This revision makes clearer what we want from models as they take on more autonomous work in the world and become capable of helping us in new ways. 🧵
openai.com/index/updated-mod…
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Claim: Humans & AI are better together if we want to recursively (co-)improve to a brighter future for *humanity*
Instead of racing towards methods for AI replacing us, work on how to make AI work *with* us!
New paper that makes 4 contributions here:
1) The role of humans in directing research agents: Autobenchmark
2) Reward hacking in autoresearch agents: HackBench
3) Training agents to interact with humans: AutoInteract
4) Training agents to communicate with humans: unslopping AI
Full Paper: arxiv.org/abs/2610.38882
Blog posts for each section:
1) facebookresearch.github.io/R…
2) facebookresearch.github.io/R…
3) facebookresearch.github.io/R…
4) facebookresearch.github.io/R…
Inpi retweeted
I joined @GoogleDeepMind to develop a research program on the economics of AGI. Today, together with Andrew Koh (@andrewjkoh) and Shane Legg (@ShaneLegg), we are incredibly excited to release The Economics of Intelligence, the first in a series of projects from our group on how AGI will change the economy.
How do capability improvements transform the economy, and when? In this project, we define thresholds of economic capabilities, e.g., minimal AGI, based on how they transform the economy. We then track how the economy–market structure, employment, and wages–changes during the transition across capability regimes.
We have seen exponential increases in what AI agents can do but the broader economy seems almost remarkably unchanged. Part of the reason is that the solo AI agent is the wrong economic object; economic transformation is an equilibrium outcome where organizations compete. Looking at how intelligence functions within organizations, transformation will depend on when two key capability thresholds are crossed: competence (gains on individual skills, e.g., coding, math) and coordination (gains on ability of agents to cooperate and work together).
We show that what economic transformation looks like depends on whether AI becomes supercompetent, supercooperative, or both—the regime of artificial superintelligence (ASI). Tracking this transition shows why the real visible transformation may come from improvements in coordination—a capability most benchmarks don’t yet track. Past a certain threshold, AI capabilities can break the Coasian ceiling on firm size and lead to an economy that looks drastically different than the one we see today.
Two main takeaways:
1. To understand the path of transformation, we should be tracking agentic coordination more closely.
2. The impact of AI will likely show up in wages before market structure or employment.
We are really excited about this paper. Excited to hear people’s thoughts.
Link: institute.deepmind.com/essay…
Inpi retweeted
I feel incredibly privileged to be alive at the most extraordinary moment in human history, and even more honored and humbled to contribute, however modestly, in the age of AI and at the dawn of the superintelligence era!
My deepest gratitude to @OpenAI for this opportunity to share my excitement for an incredible future! 🚀
After a lifetime devoted to science, I can think of no greater purpose than helping harness this extraordinary new intelligence to accelerate discoveries, conquer diseases, and build a better future for humanity! 🙏
Live long and prosper! 🖖
How might a single cell respond to a drug?
Immunologist @DeryaTR_ uses Codex to simulate that experiment.
🧵 He’s one of nine builders in our community sharing what they’re working on with Codex
openai.com/codex-originals/
Inpi retweeted
Grey morning in Kyiv.
What a joy to learn that metro trains cross the Dnipro River over ‘my’ bridge again.
Yesterday, it was quite a challenge for me to get to the right bank of the city. But I met interesting people and brought rainy beauty in the pockets of my phone.
Inpi retweeted
I missed it.
Was busy with the ‘we have electricity’ routine.
Earlier today, Ukrainians across the country and around the world wrote the same text at the same time.
It’s the annual National Unity Radio Dictation.
This year’s text, The Letter That Never Ends, was written by 🇺🇦 writer Artur Dron.
Inpi retweeted
Kyiv. Evening. Power outage. Missile threat.
I’m choosing a small induction hob that can work with my new EcoFlow.
Hot food in winter can help. Gas cookers? I told them no.
A few minutes ago I registered for a tour of artists’ studios.
Survival and Art. My immediate plans.