I always thought it was a shame that modest default stack setups made alloca() a generally-frowned-upon technique in C/C++. With 64 bit architectures, give every stack a virtual address space equal to the physical memory by default! You can do a surprisingly good job of memory management with just the stack, and I contend that it has both correctness and performance advantages. Allocations are a trivial pointer adjustment, and frees are literally free. Keeping everything linearly packed is friendlier for all layers of the cache hierarchy, and it makes keeping everything in huge / gigantic pages easy. Leaving temporary intermediate blocks on the stack can seem wasteful, but unless you are dealing with algorithms that make > O(n) temporary allocations, it is usually not a big deal. Static analysis can check if you store a stack pointer into a structure deeper in the stack, which is a use-after-free, and then memory management correctness is guaranteed. The discipline of caller-allocates-return is awkward in some dynamic cases. It would take a change in low level calling conventions, but you could plausibly have functions that return with the stack extended from where it was when they were called. I’m not holding my breath for that. It isn’t obvious if having AI coding agents makes discussions of software architecture more or less important!

New: Accenture has told employees it will only fund $29 per month of Claude use. Meaning that employees who often spend as much as $1,000 a month are now scrambling to find ways to keep access to the tool. A sign of the continuing crack down of AI 404media.co/accenture-tells-…

Today we are announcing our biggest bet yet on our own silicon. Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services. And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems. We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot. Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet.

If a user enters a fraudulent business justification and something goes wrong, they can be held accountable. They can be fired, sanctioned, imprisoned. If an agent puts something bogus in the box, what are you going to do?

I have no idea who Guillermo is He isolated an interesting point though Seeing how hiring works at Bending Spoons, I cannot believe companies hire the way they do in our industry It feels wrong on basically every level

Its a GREAT DAY for humanity and math. AI as math genie: If you asked a mathematician anywhere from 5000 BCE to a Jan 2026 AD whether they would like a math genie to exist, 100% of the mathematicians would have said yes. Mathematicians as altruists: Mathematicians give up significant opportunity cost to help advance human knowledge. Its a no brainer they will eventually adjust to this new world and be glad this happened - it is just an extreme but temporary shock to "i am world class at math" as an identity. The most important things to do asap. 1) Scale ambition 100x: We need to totally recalibrate what problems are solvable as researchers. 2) Open safe models: We need frontier models to be widely available in the open AND be safe. 3) Open frontier research: Make AI based frontier research widely accesible in an open, collab. setting.

This movie deserves so much more recognition. 🔥🎬 Gods Don’t Give Gifts hits theaters December 4.

I’ve spent some time on the issue of eliminating the human-disease mosquitoes. It is highly worth doing. Let them go the way of the horrible Guinea worm.

🚨BROKEN: The Minneapolis City Council … yesterday voted 7-4 in favor of a requirement for DRIVERLESS robotaxis to have: “a human monitor physically present within the driver’s seat of the vehicle and with immediate access to controls for steering, braking, and acceleration.”

From concept to reality. @SpaceX has successfully deployed Starlink V3 satellites into Earth’s orbit and made contact with them for the first time. At scale, one Starship carries 60 V3 satellites, the same network capacity as about 20 Falcon 9 launches.

For a hundred years, the way we build has been going backwards. Cheaper, flatter, more forgettable. Our cities are filling with buildings nobody will miss. Until now. Introducing The Building Arts Company.

Today, after 7 years in stealth, I, @emeskey and our co-founders are proud to announce @keplercompute. The world is much better off when we give power & intelligence to the people. When everyone can become their highest selves by pairing their human creativity with the exponentially rising intelligence from our magnificent computers. Our goal is to unlock the power of frontier intelligence for everyone by pushing memory and logic chip manufacturing to the limits of physics. To achieve this, we will move the world from one of compute scarcity to abundance where we can make orders of magnitude more chips per dollar and can lower datacenter energies to the limits of physics. We will use physics to ensure we have enough chips and that we can power them on. Why is compute scarce? Today's dominant approach - shrinking transistors with EUV - has run into $20B-$40B fabs that take years to build. Sized against that risk, the industry (quite rationally!) grows capex much slower than AI demand that can grow 10x in a year. In the current system, scarcity is built in. A different way is possible. We founded Kepler on the following beliefs: 1. It is possible to build leadership chips without a dependence on EUV 2. It is possible to achieve multiple orders of magnitude more intelligence per watt by evolving chips 2D Silicon to 3D Beyond silicon 3. It is possible to get much closer to the physical limits of computing than we are today while staying within mainstream digital computing Memory is the biggest binding constraint on AI compute and so we start with a new frontier of AI memory- approaching the bandwidth per watt of SRAM, going up to 10x beyond the capacity of HBM. We use 3D and materials innovations that allow for leapfrogging leading nodes while requiring no EUV lithography and allowing us use fabs that already exist. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. We have raised $468m, built our own fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business, please get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…

Manny is proposing a citywide subway system. mannyforsf.com/citywide-subw…