ai hardware

Louis Rossmann, a Macbook repair shop owner, goes through a long list of Apple hardware engineering failures, from GPU defects to keyboards and repair practices.

Andrew "bunnie" Huang examines how realistic hardware supply chain attacks are, from rogue insiders to nation states, in the wake of the Bloomberg Businessweek report. He explains how undocumented components could be hidden on boards and how hard they are to spot.

A 36C3 talk by Bunnie Huang arguing that open source is necessary but not sufficient for trustworthy hardware, because verifying hardware is destructive and so creates a time-of-check/time-of-use gap. It surveys supply chain security and classes of hardware attacks, and presents the Betrusted approach to narrowing that gap.

Louis Rossmann argues that reballing flip-chip GPUs is not a real fix for dead laptop GPUs. He explains why such repairs and oven reflow tricks fail and what is actually happening with failing hardware.

Louis Rossmann, an independent repair shop owner, explains a recurring MacBook logic board design problem that leads to failures such as a black screen. The video is part of his right-to-repair advocacy.

Simon Knowles, co-founder and CTO of Graphcore, talks about "intelligence processors", chips designed specifically for machine learning. The talk was given at the RAAIS 2017 summit and covers Graphcore's architecture.

Hugh Jeffreys tears down the iPhone 13 and assesses its repairability, showing how Apple ties parts like the display and Face ID hardware to specific devices. He demonstrates that swapping parts, even genuine ones, can disable features.

A WIRED Future Cities documentary on Shenzhen, covering its hardware-prototyping culture and shanzhai copycat manufacturing. It looks at how the city's ecosystem evolved and what the rest of the world can learn.

Louis Rossmann argues that Apple's Independent Repair Program is a PR stunt that misleads the public and burdens independent repair shops. He discusses parts access restrictions and program limits.

Louis Rossmann, an independent Apple repair shop owner, explains why he does not use Apple products, drawing on his experience of repairing devices he considers designed to fail and hard to fix.

Louis Rossmann discusses failing keyboards on newer MacBooks, comparing a Dell keyboard repair with an Apple keyboard repair and explaining why Apple's design is costly and hard to fix.

A Motherboard documentary episode from Nebraska about farmers and mechanics fighting manufacturers like John Deere over access to the diagnostic software needed to repair modern tractors. It shows how software locks have taken away farmers' traditional self-reliance.

JerryRigEverything puts the iPhone Air through scratch, bend and durability tests and is surprised that the ultra-thin phone proves very tough. The video is sponsored by dbrand cases.

Louis Rossmann explains why many 16-inch MacBook Pros fail and are difficult to repair, focusing on power design on the logic board. He argues the design leads to failures that are hard to fix.

Louis Rossmann reacts to lobbyist ads in the Massachusetts right-to-repair ballot fight that suggest repair access would enable domestic abuse and discrimination, and urges support for the campaign.

Hugh Jeffreys tears down the iPhone 12 and assesses its repairability, focusing on how parts are serialized and tied to the device so swapping components between phones does not work.

Hugh Jeffreys tests the iPhone 14 Pro and finds that swapping genuine parts between phones disables features, concluding that third-party repair is not really viable despite Apple's Self Service Repair program.

Louis Rossmann visits Apple Authorized Service Providers to see what repairs they can actually do. He finds, for example, that an iPhone 6 headphone jack is not repairable and requires an expensive board replacement.

Louis Rossmann examines a 2012 MacBook Pro logic board that Apple refurbished for GPU failures and that failed again. He criticizes the quality of Apple's authorized repair work and argues for right to repair.

A 37C3 talk on how a series of Polish electric trains stopped working after servicing by an independent company. The speakers explain how train control systems work and how they reverse-engineered the software lockouts.

Louis Rossmann opens a new MacBook Air and reacts to its cooling design, where the fan does not appear to be thermally connected to the CPU heatsink. He calls it placebo cooling.

Louis Rossmann criticizes Apple's independent repair provider program as a PR move with invasive contract terms. He argues it does little for independent shops or customers.

Louis Rossmann's half-hour teardown criticism of the Microsoft Surface Laptop, arguing its soldered SSD and glued construction make it effectively unrepairable. It ties into his right-to-repair advocacy.

Dave Plummer tours the IBM z16 mainframe from design through factory assembly, test lab, accelerators and water cooling. He explains why mainframes still exist and what makes them reliable.

Connor Krukosky, an 18-year-old college student and vintage computer collector, tells how he bought an IBM z890 mainframe and got it running at home. The talk was given at SHARE in San Antonio in March 2016.

Louis Rossmann gives a basic, non-technical introduction to right to repair legislation for people new to the issue.

Linus Tech Tips opens up an M1 MacBook Air to test whether better thermal pads could improve performance in the fanless design. It looks at what Apple left on the table.

Louis Rossmann, an independent repair technician, explains why he thinks Apple's soldered-in SSDs are a poor design. He covers failure modes and repair difficulty on MacBook logic boards.

Robert Miles explains instrumental convergence: why an AGI with almost any goal would tend to pursue sub-goals like self-preservation and resource acquisition. It builds on Omohundro's basic AI drives and his orthogonality thesis video.

Robert Miles gives a remastered introduction to AI safety, adapted from a talk in London. It lays out why advanced AI could go wrong and answers common objections.

Robert Miles examines whether the case for AI safety is a Pascal's mugging, a tiny probability of an enormous payoff. He argues it is not, because AI risk does not depend on vanishingly small probabilities.

DHH's opening keynote at Rails World 2024 in Toronto, where Rails 8 beta shipped. It covers built-in authentication, Propshaft, Solid Cache, Solid Queue, Solid Cable, Kamal 2 and Thruster, pitching the One Person Framework that needs no PaaS.

Robert Miles introduces the first of several videos on the paper 'Concrete Problems in AI Safety', focusing on how AI systems can cause accidental negative side effects. It explains the problem in accessible terms.

Robert Miles goes through ten common reasons people give for dismissing AI safety, adapted from Stuart Russell's list, and answers each one. It is aimed at skeptics and newcomers.

Jon Stewart on The Daily Show satirizes the AI industry's promises of a better future while it builds technology to replace workers. It mocks executives and AI hype.

Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.

GeoGuessr pro Rainbolt plays head-to-head against an AI built by Stanford students that guesses locations from street-view images. The video shows the AI repeatedly beating him.

Microsoft's Tony Chen explains how the Xbox One was designed to resist physical attacks, including secure boot, encrypted memory, a security processor and a hypervisor. The goal was to make any hardware attack cost more than the price of many games.

A University of Michigan Medicine demonstration of building a cheap DIY air purifier from a box fan and a HEPA or high-MERV filter using hardware-store parts. It explains why this helps against dust, smoke and viruses and ties it to local air quality readings.

Bill Dally of NVIDIA gives a Hot Chips 2023 keynote on the challenges of building hardware for deep learning. He traces how GPUs have been adapted for machine learning, especially training.