Simon Willison’s Weblog

If I were an AI sommelier I would say that gpt-3.5-turbo is smooth and agreeable with a long finish, though perhaps lacking depth. text-davinci-003 is spicy and tight, sophisticated even.

— Matt Webb # 31st May 2023, 2:52 pm

A whole new paradigm would be needed to solve prompt injections 10/10 times – It may well be that LLMs can never be used for certain purposes. We’re working on some new approaches, and it looks like synthetic data will be a key element in preventing prompt injections.

— Sam Altman, via Marvin von Hagen # 25th May 2023, 11:03 pm

In general my approach to running arbitrary untrusted code is 20% sandboxing and 80% making sure that it’s an extremely low value attack target so it’s not worth trying to break in.

Programs are terminated after 1 second of runtime, they run in a container with no network access, and the machine they’re running on has no sensitive data on it and a very small CPU.

— Julia Evans # 25th May 2023, 8:12 pm

The benefit of ground effects are:—10-20% range extension (agreed, between 50% and 100% wingspan, which is where seagliders fly, the aerodynamic benefit of ground effect is reduced compared to near surface flight)—Drastic reduction in reserve fuel. This is a key limitation of electric aircraft because they need to sustain powered flight to another airport in the event of an emergency. We can always land on the water, therefore, we can count all of our batteries towards “mission useable” [...] Very difficult to distribute propulsion with IC engines or mechanical linkages. Electric propulsion technology unlocks the blown wing, which unlocks the use of hydrofoils, which unlocks wave tolerance and therefore operations of WIGs, which unlocks longer range of electric flight. It all works together.

— Billy Thalheimer, founder of REGENT # 24th May 2023, 2:58 am

I find it fascinating that novelists galore have written for decades about scenarios that might occur after a “singularity” in which superintelligent machines exist. But as far as I know, not a single novelist has realized that such a singularity would almost surely be preceded by a world in which machines are 0.01% intelligent (say), and in which millions of real people would be able to interact with them freely at essentially no cost.

I myself shall certainly continue to leave such research to others, and to devote my time to developing concepts that are authentic and trustworthy. And I hope you do the same.

— Donald Knuth # 20th May 2023, 4:51 pm

According to interviews with former employees, publishing executives, and experts associated with the early days of AMP, while it was waxing poetic about the value and future of the open web, Google was privately urging publishers into handing over near-total control of how their articles worked and looked and monetized. And it was wielding the web’s most powerful real estate — the top of search results — to get its way.

— David Pierce # 15th May 2023, 9:55 pm

There are many reasons for companies to not turn efficiency gains into headcount or cost reduction. Companies that figure out how to use their newly productive workforce should be able to dominate those who try to keep their post-AI output the same as their pre-AI output, just with less people. And companies that commit to maintaining their workforce will likely have employees as partners, who are happy to teach others about the uses of AI at work, rather than scared workers who hide their AI for fear of being replaced.

— Ethan Mollick # 14th May 2023, 2:17 pm

For many, crypto had become an identity, a way to feel smart and subversive and on the cutting edge of a new technology. What happens to that self-image when its foundation erodes? When instead of being someone’s savvy son or daughter, you are the sheepish adult child who has to explain where the family savings went?

— Christopher Beam # 12th May 2023, 10:03 pm

The largest model in the PaLM 2 family, PaLM 2-L, is significantly smaller than the largest PaLM model but uses more training compute. Our evaluation results show that PaLM 2 models significantly outperform PaLM on a variety of tasks, including natural language generation, translation, and reasoning. These results suggest that model scaling is not the only way to improve performance. Instead, performance can be unlocked by meticulous data selection and efficient architecture/objectives. Moreover, a smaller but higher quality model significantly improves inference efficiency, reduces serving cost, and enables the model’s downstream application for more applications and users.

— PaLM 2 Technical Report (PDF) # 10th May 2023, 6:43 pm

When trying to get your head around a new technology, it helps to focus on how it challenges existing categorizations, conventions, and rule sets. Internally, I’ve always called this exercise, “dealing with the platypus in the room.” Named after the category-defying animal; the duck-billed, venomous, semi-aquatic, egg-laying mammal. [...] AI is the biggest platypus I’ve ever seen. Nearly every notable quality of AI and LLMs challenges our conventions, categories, and rulesets.

— Drew Breunig # 8th May 2023, 11:14 pm

What Tesla is contending is deeply troubling to the Court. Their position is that because Mr. Musk is famous and might be more of a target for deep fakes, his public statements are immune. In other words, Mr. Musk, and others in his position, can simply say whatever they like in the public domain, then hide behind the potential for their recorded statements being a deep fake to avoid taking ownership of what they did actually say and do. The Court is unwilling to set such a precedent by condoning Tesla’s approach here.

— Judge Evette Pennypacker # 8th May 2023, 4:46 pm

Because we do not live in the Star Trek-inspired rational, humanist world that Altman seems to be hallucinating. We live under capitalism, and under that system, the effects of flooding the market with technologies that can plausibly perform the economic tasks of countless working people is not that those people are suddenly free to become philosophers and artists. It means that those people will find themselves staring into the abyss – with actual artists among the first to fall.

— Naomi Klein # 8th May 2023, 3:09 pm

At this point the lawsuits seem a bit far-fetched: “You should have warned us months ago that artificial intelligence would hurt your business” is unfair given how quickly ChatGPT has exploded from nowhere to become a cultural and business phenomenon. But now everyone is on notice! If you are not warning your shareholders now about how AI could hurt your business, and then it does hurt your business, you’re gonna get sued.

— Matt Levine # 3rd May 2023, 9:04 pm

We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. [...] We can execute SparseGPT on the largest available open-source models, OPT-175B and BLOOM-176B, in under 4.5 hours, and can reach 60% unstructured sparsity with negligible increase in perplexity: remarkably, more than 100 billion weights from these models can be ignored at inference time.

— SparseGPT, by Elias Frantar and Dan Alistarh # 3rd May 2023, 7:48 pm