@akothari@NotionHQ The muddy AI pricing made it harder to trust you guys. I love(d) Notion, I even used it to build Italy’s startup accelerator in the Bay Area whole playbook with it. But the 2025 rug pull on the AI features that I had already paid for in my Plus account was hard to stomach.
Introducing Dashboards. The bird's-eye view your databases needed.
Boards, tables, charts, timelines — all in one clear, glanceable DB view. Rolling out now.
@xingyudang I had the same thought yesterday, but my problem is using many LLMs at once scattered across tabs.
So Claude and I created this https://t.co/VhKAPequiG.
It’s my first attempt at a MacOS app. It’s far from being perfect, but at least it helps remembering open chats 😅
the primary criticism of AI you hear has nothing to do with water use or existential risk whatsoever: most people just think it’s fake and doesn’t work and is a tremendous bubble eating intellectual property while emitting useless slop along the way. when GPT-5 came out and perhaps didn’t live up to what people were expecting for a full version bump, the timeline reaction was not mild, it was a full-scale meltdown. there are many intelligent (and unintelligent) people who latched onto this moment to declare AI scaling over, thousands of viral tweets, still a prevailing view in many circles. The financial-cultural phenomenon of machine intelligence is one of the most powerful in decades, and there are a lot of people who would like for its position to be weakened, many outright celebrating its losses and setback. Michael burry of ‘Big Short’ fame, unfortunately the type of guy to predict 12 of the last 3 recessions, has bet himself into insolvency on the AI bubble’s collapse
one of the stranger things about this time is that there are very few secrets, and very little reason to be so misinformed. model labs have very little space in between creating new capabilities and launching them to the public. The view among the well informed public and not just “lab insiders” is that machine intelligence is absurdly joyfully smart at so many new things every month. It’s actively contributing on the cutting edge of programming and math and science. Sebastian Bubeck and co’s recent paper reports that GPT5-pro is capable of producing results on the frontier of theoretical physics research, Terry Tao wrote a blog about “vibe-proving” Erdos problems with the auto-formalization AI Aristotle. You can read that these scientists are using it to actively contribute to black hole physics, tighten mathematical bounds in optimization theory, churning morasses of biomedical data into real insight. Google Deepmind, from the way they are signalling, seems to be slowly closing a dragnet around the Navier-Stokes smoothness millennium problem (though of course, I don’t know). Several companies stocked top to bottom with brilliant scientists are racing to build pipelines to solve novel physics and chemistry and biology
You can read online about the new kinds of organizations being born around machine intelligence as a first class factor of production. For the first time, the new factor actually gives you ideas for improving the processes themselves. It’s designing whole assembly lines where some of the workers on the assembly line are also AIs, and the line itself is morphing and self-optimizing. Tiny teams are producing amounts of work that seemed impossible to organizations of a few years ago. It’s hard not to feel excited by the productivity growth happening in these admittedly narrow software sectors. Every time I use codex to solve some issue late at night or GPT helps me figure out a difficult strategic problem I feel: what a relief. There are so few minds on Earth that are both intelligent and persistent enough about some intellectual pursuit to generate new insights and keep the torch of scientific civilization alive. Now you have potentially infinite minds to throw at infinite potential problems. Your computer friend that never takes the day off, never gets bored, never checks out and stops trying. You can feel the unburdening of Atlas, the takeoff. It feels more prosaic and less poetic than it did in 2023, even though the results speak for themselves more loudly
Ok everyone, here’s the European Humanoid Map.
Europe has more humanoids than I expected: Paris, France has four, Germany and the UK have two each, and Norway, Sweden, Luxembourg, Italy, and Spain each have one. More will emerge.
Exciting times ahead for sure. Cheers.
FOUR new cities are on the map! 🗺️ The future of mobility is expanding faster than ever and we’re thrilled to bring the proven experience of the Waymo Driver to more people. https://t.co/SafmHTQca5
I have a guest essay in @nytimes today about autonomous vehicle safety. I wrote it because I’m tired of seeing children die. Done right, we can eliminate car crashes as a leading cause of death in the United States
@Waymo recently released data covering nearly 100 million driverless miles. I spent weeks analyzing it because the results seemed too good to be true. 91% fewer serious-injury crashes. 92% less pedestrians hit. 96% fewer injury crashes at intersections. The list goes on.
39,000 Americans died in crashes last year. More than homicide, plane crashes, and natural disasters combined. The #2 killer of children and young adults. The #1 cause of spinal cord injury. We’ve accepted this as the price of mobility.
We don’t have to.
In medicine, when a treatment shows this level of benefit, we stop the trial early. Continuing to give patients the placebo becomes unethical. When an intervention works this clearly, you change what you do.
In driving, we’re all the control group.
Cities like DC and Boston are blocking deployment. And cities are not the only forces mobilizing to slow this progress.
It’s time we stop treating this like a tech moonshot and start treating it like a public health intervention that will save lives.
Link to article below.
👀 this video of Waymo cars evading crashes with people and vehicles. I especially note the ones that require it having a 360° view.
My sincere thanks to Alex Ellerbeck and @acsifferlin for their wisdom and sure hand in editing this piece.
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"The lack of a human driver is no longer the reason [Waymos] stand out most from regular traffic. They do so because they follow the speed limit.
Indeed, cyclists and pedestrians are so used to drivers going 5, 10, or more miles per hour over posted speed limits, that Waymo’s practice of driving by the letter of the law creates a noticeable contrast. So much so that in a recent New York Times article about Zoox entering the autonomous-vehicle fray in San Francisco, the reporters actually had the gall to list law-abiding driving as a downside"
https://t.co/Mg6Ld07bZE