Items in Nov, 2023
Filters: Year: 2023 × Month: Nov × Sorted by date
Annotate and explore your data with datasette-comments. New plugin for Datasette and Datasette Cloud: datasette-comments, providing tools for collaborating on data exploration with a team through posting comments on individual rows of data.
Alex Garcia built this for Datasette Cloud but as with almost all of our work there it’s also available as an open source Python package. # 30th November 2023, 9:59 pm
This is what I constantly tell my students: The hard part about doing a tech product for the most part isn’t the what beginners think makes tech hard — the hard part is wrangling systemic complexity in a good, sustainable and reliable way.
Many non-tech people e.g. look at programmers and think the hard part is knowing what this garble of weird text means. But this is the easy part. And if you are a person who would think it is hard, you probably don’t know about all the demons out there that will come to haunt you if you don’t build a foundation that helps you actively keeping them away.
— atoav # 30th November 2023, 9:18 pm
ChatGPT is one year old. Here’s how it changed the world. I’m quoted in this piece by Benj Edwards about ChatGPT’s one year birthday:
“Imagine if every human being could automate the tedious, repetitive information tasks in their lives, without needing to first get a computer science degree,” AI researcher Simon Willison told Ars in an interview about ChatGPT’s impact. “I’m seeing glimpses that LLMs might help make a huge step in that direction.” # 30th November 2023, 6:07 pm
llamafile is the new best way to run a LLM on your own computer
Mozilla’s innovation group and Justine Tunney just released llamafile, and I think it’s now the single best way to get started running Large Language Models (think your own local copy of ChatGPT) on your own computer.
[... 650 words]Announcing Deno Cron. Scheduling tasks in deployed applications is surprisingly difficult. Deno clearly understand this, and they’ve added a new Deno.cron(name, cron_definition, callback) mechanism for running a JavaScript function every X minutes/hours/etc.
As with several other recent Deno features, there are two versions of the implementation. The first is an in-memory implementation in the Deno open source binary, while the second is a much more robust closed-source implementation that runs in Deno Deploy:
“When a new production deployment of your project is created, an ephemeral V8 isolate is used to evaluate your project’s top-level scope and to discover any Deno.cron definitions. A global cron scheduler is then updated with your project’s latest cron definitions, which includes updates to your existing crons, new crons, and deleted crons.”
Two interesting features: unlike regular cron the Deno version prevents cron tasks that take too long from ever overlapping each other, and a backoffSchedule: [1000, 5000, 10000] option can be used to schedule attempts to re-run functions if they raise an exception. # 29th November 2023, 5:49 pm
MonadGPT (via) “What would have happened if ChatGPT was invented in the 17th century? MonadGPT is a possible answer.
MonadGPT is a finetune of Mistral-Hermes 2 on 11,000 early modern texts in English, French and Latin, mostly coming from EEBO and Gallica.
Like the original Mistral-Hermes, MonadGPT can be used in conversation mode. It will not only answer in an historical language and style but will use historical and dated references.” # 27th November 2023, 4:01 am
Prompt injection explained, November 2023 edition
A neat thing about podcast appearances is that, thanks to Whisper transcriptions, I can often repurpose parts of them as written content for my blog.
[... 1357 words]This is nonsensical. There is no way to understand the LLaMA models themselves as a recasting or adaptation of any of the plaintiffs’ books.
— U.S. District Judge Vince Chhabria # 26th November 2023, 4:13 am
I’m on the Newsroom Robots podcast, with thoughts on the OpenAI board
Newsroom Robots is a weekly podcast exploring the intersection of AI and journalism, hosted by Nikita Roy.
[... 1032 words]To some degree, the whole point of the tech industry’s embrace of “ethics” and “safety” is about reassurance. Companies realize that the technologies they are selling can be disconcerting and disruptive; they want to reassure the public that they’re doing their best to protect consumers and society. At the end of the day, though, we now know there’s no reason to believe that those efforts will ever make a difference if the company’s “ethics” end up conflicting with its money. And when have those two things ever not conflicted?
— Lucas Ropek # 23rd November 2023, 8:41 pm
The 6 Types of Conversations with Generative AI. I’ve hoping to see more user research on how users interact with LLMs for a while. Here’s a study from Nielsen Norman Group, who conducted a 2-week diary study involving 18 participants, then interviewed 14 of them.
They identified six categories of conversation, and made some resulting design recommendations.
A key observation is that “search style” queries (just a few keywords) often indicate users who are new to LLMs, and should be identified as a sign that the user needs more inline education on how to best harness the tool.
Suggested follow-up prompts are valuable for most of the types of conversation identified. # 23rd November 2023, 5:37 pm
YouTube: Intro to Large Language Models. Andrej Karpathy is an outstanding educator, and this one hour video offers an excellent technical introduction to LLMs.
At 42m Andrej expands on his idea of LLMs as the center of a new style of operating system, tying together tools and and a filesystem and multimodal I/O.
There’s a comprehensive section on LLM security—jailbreaking, prompt injection, data poisoning—at the 45m mark.
I also appreciated his note on how parameter size maps to file size: Llama 70B is 140GB, because each of those 70 billion parameters is a 2 byte 16bit floating point number on disk. # 23rd November 2023, 5:02 pm
We have reached an agreement in principle for Sam Altman to return to OpenAI as CEO with a new initial board of Bret Taylor (Chair), Larry Summers, and Adam D’Angelo.
— @OpenAI # 22nd November 2023, 6:04 am
I remember that they [Ev and Biz at Twitter in 2008] very firmly believed spam was a concern, but, “we don’t think it’s ever going to be a real problem because you can choose who you follow.” And this was one of my first moments thinking, “Oh, you sweet summer child.” Because once you have a big enough user base, once you have enough people on a platform, once the likelihood of profit becomes high enough, you’re going to have spammers.
— Del Harvey # 22nd November 2023, 4:59 am
Claude: How to use system prompts. Documentation for the new system prompt support added in Claude 2.1. The design surprises me a little: the system prompt is just the text that comes before the first instance of the text “Human: ...”—but Anthropic promise that instructions in that section of the prompt will be treated differently and followed more closely than any instructions that follow.
This whole page of documentation is giving me some pretty serious prompt injection red flags to be honest. Anthropic’s recommended way of using their models is entirely based around concatenating together strings of text using special delimiter phrases.
I’ll give it points for honesty though. OpenAI use JSON to field different parts of the prompt, but under the hood they’re all concatenated together with special tokens into a single token stream. # 22nd November 2023, 4:31 am
Introducing Claude 2.1. Anthropic’s Claude used to have the longest token context of any of the major models: 100,000 tokens, which is about 300 pages. Then GPT-4 Turbo came out with 128,000 tokens and Claude lost one of its key differentiators.
Claude is back! Version 2.1, announced today, bumps the token limit up to 200,000—and also adds support for OpenAI-style system prompts, a feature I’ve been really missing.
They also announced tool use, but that’s only available for a very limited set of partners to preview at the moment. # 22nd November 2023, 4:28 am
Weeknotes: DevDay, GitHub Universe, OpenAI chaos
Three weeks of conferences and Datasette Cloud work, four days of chaos for OpenAI.
[... 766 words]Sam Altman expelling Toner with the pretext of an inoffensive page in a paper no one read would have given him a temporary majority with which to appoint a replacement director, and then further replacement directors. These directors would, naturally, agree with Sam Altman, and he would have a full, perpetual board majority—the board, which is the only oversight on the OA CEO. Obviously, as an extremely experienced VC and CEO, he knew all this and how many votes he (thought he) had on the board, and the board members knew this as well—which is why they had been unable to agree on replacement board members all this time.
— Gwern # 22nd November 2023, 3:53 am
Deciphering clues in a news article to understand how it was reported
Written journalism is full of conventions that hint at the underlying reporting process, many of which are not entirely obvious. Learning how to read and interpret these can help you get a lot more out of the news.
[... 1456 words]Before Altman’s Ouster, OpenAI’s Board Was Divided and Feuding. This is the first piece of reporting I’ve seen on the OpenAI situation which has offered a glimmer of an explanation as to what happened.
It sounds like the board had been fighting about things for over a year—notably including who should replace departed members, which is how they’d shrunk down to just six people.
There’s also an interesting detail in here about the formation of Anthropic:
“Mr. Sutskever’s frustration with Mr. Altman echoed what had happened in 2021 when another senior A.I. scientist left OpenAI to form the company Anthropic. That scientist and other researchers went to the board to try to push Mr. Altman out. After they failed, they gave up and departed, according to three people familiar with the attempt to push Mr. Altman out.” # 22nd November 2023, 12:31 am
The way I think about the AI of the future is not as someone as smart as you or as smart as me, but as an automated organization that does science and engineering and development and manufacturing.
— Ilya Sutskever # 21st November 2023, 6:59 pm
An Interactive Guide to CSS Grid (via) Josh Comeau’s extremely clear guide to CSS grid, with interactive examples for all of the core properties. # 21st November 2023, 4:25 pm
And the investors wailed and gnashed their teeth but it’s true, that is what they agreed to, and they had no legal recourse. And OpenAI’s new CEO, and its nonprofit board, cut them a check for their capped return and said “bye” and went back to running OpenAI for the benefit of humanity. It turned out that a benign, carefully governed artificial superintelligence is really good for humanity, and OpenAI quickly solved all of humanity’s problems and ushered in an age of peace and abundance in which nobody wanted for anything or needed any Microsoft products. And capitalism came to an end.
— Matt Levine, in a hypothetical # 20th November 2023, 9:12 pm
Cloudflare does not consider vary values in caching decisions. Here’s the spot in Cloudflare’s documentation where they hide a crucially important detail:
“Cloudflare does not consider vary values in caching decisions. Nevertheless, vary values are respected when Vary for images is configured and when the vary header is vary: accept-encoding.”
This means you can’t deploy an application that uses content negotiation via the Accept header behind the Cloudflare CDN—for example serving JSON or HTML for the same URL depending on the incoming Accept header. If you do, Cloudflare may serve cached JSON to an HTML client or vice-versa.
There’s an exception for image files, which Cloudflare added support for in September 2021 (for Pro accounts only) in order to support formats such as WebP which may not have full support across all browsers. # 20th November 2023, 5:08 am
The company pressed forward and launched ChatGPT on November 30. It was such a low-key event that many employees who weren’t directly involved, including those in safety functions, didn’t even realize it had happened. Some of those who were aware, according to one employee, had started a betting pool, wagering how many people might use the tool during its first week. The highest guess was 100,000 users. OpenAI’s president tweeted that the tool hit 1 million within the first five days. The phrase low-key research preview became an instant meme within OpenAI; employees turned it into laptop stickers.
— Inside the Chaos at OpenAI # 20th November 2023, 4:38 am
Inside the Chaos at OpenAI (via) Outstanding reporting on the current situation at OpenAI from Karen Hao and Charlie Warzel, informed by Karen’s research for a book she is currently writing. There are all sorts of fascinating details in here that I haven’t seen reported anywhere, and it strongly supports the theory that this entire situation (Sam Altman being fired by the board of the OpenAI non-profit) resulted from deep disagreements within OpenAI concerning speed to market and commercialization of their technology v.s. safety research and cautious progress towards AGI. # 20th November 2023, 4:35 am
Details emerge of surprise board coup that ousted CEO Sam Altman at OpenAI. The board of the non-profit in control of OpenAI fired CEO Sam Altman yesterday, which is sending seismic waves around the AI technology industry. This overview by Benj Edwards is the best condensed summary I’ve seen yet of everything that’s known so far. # 18th November 2023, 8:14 pm
It’s Time For A Change: datetime.utcnow() Is Now Deprecated (via) Miguel Grinberg explains the deprecation of datetime.utcnow() and utcfromtimestamp() in Python 3.12, since they return naive datetime objects which cause all sorts of follow-on problems.
The replacement idiom is datetime.datetime.now(datetime.timezone.utc) # 18th November 2023, 7:24 pm
HTML Web Components: An Example (via) Jim Nielsen provides a clear example illustrating the idea of the recently coined "HTML Web Components" pattern. It's Web Components as progressive enhancement: in this example a <user-avatar> custom element wraps a regular image, then JavaScript defines a Web Component that enhances that image. If the JavaScript fails to load the image still displays. # 17th November 2023, 4:33 pm
tldraw/draw-a-ui (via) Absolutely spectacular GPT-4 Vision API demo. Sketch out a rough UI prototype using the open source tldraw drawing app, then select a set of components and click “Make Real” (after giving it an OpenAI API key). It generates a PNG snapshot of your selection and sends that to GPT-4 with instructions to turn it into a Tailwind HTML+JavaScript prototype, then adds the result as an iframe next to your mockup.
You can then make changes to your mockup, select it and the previous mockup and click “Make Real” again to ask for an updated version that takes your new changes into account.
This is such a great example of innovation at the UI layer, and everything is open source. Check app/lib/getHtmlFromOpenAI.ts for the system prompt that makes it work. # 16th November 2023, 4:42 pm