New products, tools, and companies shared by the community. Find the original launch, read the poster’s commentary, and explore questions and feedback from other builders before trying something new.
From the blog:
"AI chips shipped through 2027 could run tens to hundreds of millions of concurrent frontier-model agents. Running nonstop, these agents would supply as many weekly working hours as about 140–720 million full-time employees.
More efficient models could potentially support billions of agents on the same hardware. Applying DeepSeek V4 Pro serving benchmarks to the projected hardware supply yields approximately 1.9 billion concurrent agents supplying as many weekly working hours as 8 billion people each working 40 hours."
We found asteroids, nebula, and even the satellites I helped build and launch at Astranis. We also technically found a UFO, but it was probably another satellite
Crew-13 to the ISS, 130 sats on Transporter-18 (Google's Suncatcher TPU sat was on it), then Falcon Heavy's first ever NRO launch to close it out. One booster was on its 25th flight. Reusable rockets are just normal now
There's a huge opportunity right now in being the deployment layer for AI into the economy. The amount of work it takes to change out workflows in enterprises tends to be far greater than anyone realizes or would prefer. Clearly this is what the applied layer of AI is going to look like in the form of software and agents, but also it opens up new services firms opportunities.
Legacy systems need to be moved to the cloud, data organization and access needs to be updated, software needs to be connected to agents in new ways, workflows need to be reengineered for agents, HITL needs to be figured out for the process, evals need to be generated and maintained, and the entire system needs to be continually updated as new models get released and new capabilities emerge. And the full list may even be longer.
AI is not the same as just deploying software. Software you generally did the implementation of an existing, well understood category of technology, then stepped back and the customer kept running. With AI agents, you're delivering actual work augmentation to the organization, which has a completely different set of complexities associated with it. You're no longer deploying tools that the company is merely enabled by, you're deploying work output in a process. Completely different implementation and enablement process.
As a result, this is going to open up lots of new kinds of firms and plays for existing firms to diffuse AI into organizations. We're going to see approaches by industry, by size of company, and by problem inside of companies. Traditional SIs will modernize and adapt (some will clearly not adapt as well), and new entrants will also be founded in this period that take advantage of this window. Great time to be an FDE or FDE firm.
Imbue Studio is a new kind of personal computer.
Make durable personal tools and shape them just by telling Studio what you want.
Share easily, use immediately across devices, and build together with others
Reka AI Labs released a new model designed to infer low-level actions from video and help train interactive world models using real-world footage without action labels.
Seems like robotics is really having its moment !!
Today we sent out the latest edition of People Watching, a newsletter to help you discover great, under-the-radar people. Here are a few highlights:
• @aijamayrock (835k+ on Instagram, 460k+ on TikTok) makes videos about fascinating topics, from technology and aging to Jews around the world. She spent two months in Japan as an Eisenhower Fellow and has written two bestselling books.
• @SamRaus1 is the David Boaz Resident Writing Fellow at Young Voices. His writing on the past, present, and future of free society has appeared in USA Today, Newsweek, and The Hill.
• @Simon__Grimm is an editor at @WorksInProgMag, where he covers AI and European progress—from the market for less capable models to liberal compute and talent sorting in Germany.
• @being_on_line is a designer, artist, and cyberethnographer. In a recent conversation with @Inc, he explored the shift from monolithic to polylithic culture, and what “going viral” means when our feeds no longer give us shared references.
• @kendallhtucker runs creative experiments at @tryramp, including debuting a Broadway musical and hosting a funeral for the penny. Outside work, Kendall has hosted a Hot Mitzvah, taught beer pong to Brits, and launched a Twitter lie detector.
Special thanks to @knowerofmarkets for helping curate this week’s list. If you have feedback or recommendations, email or DM me. The full archive is at pplwatching.substack.com; subscribe via the original thread.
I think the AI safety community is doing more harm than good right now. Public warnings that frame human extinction as a coin flip may not persuade people to support better safeguards. They risk pushing the broader public toward fear and backlash against the entire AI industry.
Palisade Research’s interviews with current and former frontier-lab employees come at a moment when AI safety is already reaching a much wider audience. I’m worried that this kind of messaging will make people more likely to demand a ban on AI, rather than engage seriously with alignment or responsible development.
I believe today’s models are powerful, and future systems will be more so. We need safeguards and stronger release policies. But we should be careful about how we make that case, and whether our public messaging is helping people understand the risks—or simply driving them away from the conversation.
I am an advisor, board member, investor, who writes a lot. I started off as a computer science / chemistry double major back when almost no one used a computer in chemistry and the computer science department was more like a math department. I did undergraduate research in the very earliest IDEs (called “syntax directed editors”) which made me want to be a professor. So I went to graduate school and promptly dropped out when I realized that programming was more fun that writing about programming. I interviewed at a “software company in the Pacific Northwest” when no one in my family had ever been to Seattle or had any idea what a software company might do. Everyone I interviewed with seemed to know everything about everything so I took the job and then spent almost 24 years there from 1989-2013. I worked on the first C++ compiler and tools—that research. I did a weird job as “Technical Assistant to the Chairman” and became something of an internet-is-a-big-deal clarion call. I then spent over 10 years working on Office from the last 16-bit version to the biggest redesign of the products, introducing Clippy, email, web versions of the tools, and web-server collaboration along the way. I then moved to Windows where we shipped Windows 7 and Windows 8. I’ve managed teams from single digits to five digits in size, managed teams in a dozen countries, and hired more people than I can count from college to join Microsoft. Along the way I lived in China to combat piracy. I taught MBA students in Boston to gain a different perspective. And wrote more blog posts than I can count.
I have a lot of stories. I love to compare and contrast old and new. I love thinking about the stories of product development and how they were told and retold over years. You can read many on "Hardcore Software" hardcoresoftware.substack.com—a tale of my time at Microsoft serialized on Substack and a my long form posts on current events in tech.
I’ve advised, invested, or served on the board of quite a few companies and worked closely with a16z on several companies where I served as a board partner representing the firm’s investment.
This is an AMA about these topics. Thank you!
Anthropic's testing put Zhipu's open-weight GLM-5.3 at 50 working exploits in 410 attempts, against 56 for Claude Mythos Preview, and NIST's CAISI calls it the most cyber-capable open-weight model released to date. A big data point for the open vs. closed debate.
Version 26H2 comes as a small enablement package for 24H2/25H2 machines, so it installs like a monthly patch rather than a full OS swap. Microsoft now ships features continuously instead of saving them for one big annual drop, which makes upgrades much less painful.
Anthropic says Sonnet 5.5 runs more than 30% faster than Sonnet 5 and gets most work done with fewer tokens. A welcome upgrade for anyone running agents at scale.
DoorDash launched a text-based AI ordering agent as The Information argues delivery platforms risk disintermediation from general-purpose AI shopping assistants.
Andrew Curran
Christian Keil
Trace Cohen
Aaron Levie
Dan Romero
Kanjun 🐙
Zach Davidson
Gaby Goldberg
Gavin Morrison
Steven Sinofsky
David Booth
Rory Hughes