James Hall

Director @parallax, AWS Hero, Co-host at Off Script Podcast wrote some popular JS stuff like jsPDF many moons ago

[James Hall @MrRio]

My favourite iOS apps:

1. Things 3

A beautiful task manager for iOS and Mac. Truly a pleasure to use. @culturedcode

https://t.co/lQ7Drc8glX

[James Hall @MrRio]

For AI applications - if you can nail Automated Evaluation of what good looks like, combined with some Durable Execution (which supports streaming/steps/retries/complex flows) - then you’re a lot further on than most!

[James Hall @MrRio]

We’re here at #TheAISummit at stand 3-2-1 in the South Expo Hall. We solve difficult problems through great software engineering and design. @parallax

Come say hello 👋

[James Hall @MrRio]

@theo TypeScript, Vercel AI SDK, Zod, ShadCN, Kysely, Inngest

[James Hall @MrRio]

Better add this to the fucking list

[Andreas Kling @awesomekling]

Protip: Putting a lot of curse words in your conference talk makes you look immature and unserious.

[Andreas Kling @awesomekling]

We got GMail (full interface) working in @ladybirdbrowser, let's fricken gooooooo! 🚀

This one is nice because I've been told by many people "you'll never be able to handle modern web apps like GMail"

Don't listen to armchair defeatists. We can build whatever we want! 🤓

[James Hall @MrRio]

Getting your head around sampling (and constrained sampling - like used for Structured Outputs) is a good area to get stuck into.

[James Hall @MrRio]

- Quantized it so it doesn't crash my M3 Mac. - Started a llama.cpp server, and use the raw (non-OpenAI-compatible) API to delve into the underlying logprob data. - Built a basic UI on top of this to start exploring.

[James Hall @MrRio]

Some interesting advantages to having greater insight into underlying probabilities is knowing when it might be wrong, debugging models issues, and for learning purposes.

[James Hall @MrRio]

Another weekend project, I've built another visualisation.

Commercial LLMs often don't expose their logits/logprobs. This is the chance that the next token/word appears.

What I've done:
- Pulled Llama3.3 locally from HuggingFace, converted it to GGUF for llama.cpp.

[v @iavins]

Collection of insane and fun facts about SQLite. Let's go!

SQLite is the most deployed and most used database. There are over one trillion (1000000000000 or a million million) SQLite databases in active use.

It is maintained by three people. They don't allow outside contributions.

[James Hall @MrRio]

@jesse_altman @GoodReddit Things like copying the product name can trigger an exit intent on some sites

[James Hall @MrRio]

Add your own words or compare predefined sets. I'm working on a way to visualise the famous king - man + woman = queen example. Any other ideas?

[James Hall @MrRio]

I've made a tool that lets you explore Text Embedding Vectors (an important step for AI tools which use Retrieval Augmented Generation) in a 3D space.

You can choose between different dimension reductions, which helps you compare features.

[James Hall @MrRio]

@taylorotwell See you there! ✨

[James Hall @MrRio]

@levelsio I’m getting this weird [object Object] thing on mobile Safari

[James Hall @MrRio]

@DanMilmo Hey Dan, great article yesterday. Small typo at the top, needs to read "ChatGPT" not "ChatGP" - https://t.co/4dDDN1Xm5P

[AWS Developers @awsdevelopers]

@PhilAbdoulaye @pas256 @martijnvdo @Osterjour Commemorating the remarkable accomplishments of these AWS Heroes in driving innovation and sharing knowledge:

▶ Keith Yau
▶ Kazuki Miura
▶ Kaushik Mohanraj
▶ James Hall

[James Hall @MrRio]

@vortuosity hey could you follow me back so I can DM you? Just finished Secret of Scent and it’s amazing

[Josh Nesbitt @joshnesbitt]

I wrote a post about our conference dream team following this year's conference, featuring @philhawksworth, @MrRio and @_mrBevan 💪

https://t.co/m1MwaNZCJb

[Tavis Ormandy @taviso]

This strange tweet got >25k retweets. The author sounds confident, and he uses lots of hex and jargon. There are red flags though... like what's up with the DEI stuff, and who says "stack trace dump"? Let's take a closer look... 🧵1/n