When @RonWyden asks a pointed question in public, it's usually because of something he can't say out loud.
He's doing it again. This time about your VPN.
Is the government running a dragnet on VPN users?
https://t.co/ocBu5sU3RD
https://t.co/PMxf6TtEw9
🎙️Final testing, hopefully a quick homologation in Flanders @elonmusk ?
Het testen van het Tesla FSD-systeem (Full Self-Driving) zal eerstdaags kunnen starten op de Vlaamse wegen. “Het voertuig zal over ongeveer 5.000 kilometer worden getest om eventuele verschillen met de Nederlandse weginfrastructuur en verkeersregels te evalueren. Als de resultaten positief zijn, kan snel werk worden gemaakt van een voorlopige Europese typegoedkeuring die geldig is op het volledige Belgische grondgebied”. Dank aan mijn federale collega om de testen toe te laten, hopelijk verlopen die vlot, en kunnen we vervolgens op zeer korte termijn tot homologatie overgaan! 💪 #Innovatie
https://t.co/zjSRR7IG5R
Privacy doesn’t have to be complicated.
This Privacy 101 guide breaks it down into 6 simple steps to get started.
Perfect to share with friends & family who don’t know where to begin.
I tried to open an acct and they demanded a cell number. Not VoIP, a real cell number, associated with a SIM.
I don't have a cell number, because I don't have a SIM in my phone.
Here's how I set up an account anyway.
https://t.co/lQpXlB7Xpm
https://t.co/ipcQFzZ2C1
Here's my conversation with Peter Steinberger (@steipete), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub.
This was a truly mind-blowing, inspiring, and fun conversation!
It's here on X in full and is up everywhere else (see comment).
Timestamps:
0:00 - Episode highlight
1:30 - Introduction
5:36 - OpenClaw origin story
8:55 - Mind-blowing moment
18:22 - Why OpenClaw went viral
22:19 - Self-modifying AI agent
27:04 - Name-change drama
44:15 - Moltbook saga
52:34 - OpenClaw security concerns
1:01:14 - How to code with AI agents
1:32:09 - Programming setup
1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6
1:47:59 - Best AI agent for programming
2:09:59 - Life story and career advice
2:13:56 - Money and happiness
2:17:49 - Acquisition offers from OpenAI and Meta
2:34:58 - How OpenClaw works
2:46:17 - AI slop
2:52:20 - AI agents will replace 80% of apps
3:00:57 - Will AI replace programmers?
3:12:57 - Future of OpenClaw community
Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics.
It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community:
1. Sebastian Raschka (@rasbt)
2. Nathan Lambert (@natolambert)
They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters.
This was a whirlwind conversation: everything from the super-technical to the super-fun.
It's here on X in full and is up everywhere else (see comment).
Timestamps:
0:00 - Introduction
1:57 - China vs US: Who wins the AI race?
10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning?
21:38 - Best AI for coding
28:29 - Open Source vs Closed Source LLMs
40:08 - Transformers: Evolution of LLMs since 2019
48:05 - AI Scaling Laws: Are they dead or still holding?
1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training
1:37:18 - Post-training explained: Exciting new research directions in LLMs
1:58:11 - Advice for beginners on how to get into AI development & research
2:21:03 - Work culture in AI (72+ hour weeks)
2:24:49 - Silicon Valley bubble
2:28:46 - Text diffusion models and other new research directions
2:34:28 - Tool use
2:38:44 - Continual learning
2:44:06 - Long context
2:50:21 - Robotics
2:59:31 - Timeline to AGI
3:06:47 - Will AI replace programmers?
3:25:18 - Is the dream of AGI dying?
3:32:07 - How AI will make money?
3:36:29 - Big acquisitions in 2026
3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta
3:53:35 - Manhattan Project for AI
4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters
4:08:15 - Future of human civilization
In Europe, we’ve felt so safe and comfortable that we’ve been able to indulge in all sorts of loony ideas without consequences. Well, the consequences are here now.
Misconception: @ProtonMail only encrypts emails between Proton users.
False. Proton automatically looks up PGP keys by default when you email anyone.
Email isn’t private by design but you can make it a lot more private. Here's how.
https://t.co/2ZBoGwylrb
https://t.co/6kBBcPwLwD
▶️ New video: Data Brokers Explained + what to do about them, featuring Yael Grauer from Consumer Reports.
By popular demand we’ve put together another interview style video. This is our highest quality video yet, and we hope you learn something new! https://t.co/5wr3yS9yIe
Here's my 4+ hour conversation with Pavel Durov (@durov), founder and CEO of Telegram. This was one of the most fascinating and powerful conversations I've ever had in my life.
We discuss everything from his philosophy on freedom to government bureaucracies, intelligence agencies, human nature, mathematics, encryption, great engineering & design, education, family, and his philosophy on life.
It's here on X in full and is up everywhere else (see comment). It is translated and dubbed into Russian, Ukrainian, French, and Hindi.
Timestamps:
0:00 - Introduction
3:07 - Philosophy of freedom
6:15 - No alcohol
14:20 - No phone
20:16 - Discipline
41:28 - Telegram: Lean philosophy, privacy, and geopolitics
56:50 - Arrest in France
1:13:01 - Romanian elections
1:23:56 - Power and corruption
1:33:29 - Intense education
1:45:29 - Nikolai Durov
1:49:58 - Programming and video games
1:54:11 - VK origins & engineering
2:11:24 - Hiring a great team
2:20:40 - Telegram engineering & design
2:39:42 - Encryption
2:44:39 - Open source
2:49:26 - Edward Snowden
2:51:58 - Intelligence agencies
2:53:10 - Iran and Russia government pressure
2:56:19 - Apple
3:03:16 - Poisoning
3:29:28 - Elon Musk
3:35:31 - Money
3:44:23 - TON
3:54:13 - Bitcoin
3:57:12 - Two chairs dilemma
4:03:52 - Children
4:15:02 - Father
4:19:33 - Quantum immortality
4:26:05 - Kafka
Proton VPN’s strict no-logs policy has been independently verified for the 4th year in a row.
“Don’t trust, verify” is not just something we preach, but something we practice, so our no-logs policy has now been verified by third-party experts.
Full report 👉 https://t.co/ixGPIL2RaH