I was curious when the first use of the term “frontier model” came about and who coined it. It looks like it was originally defined in a joint research paper in July 2003: Frontier AI Regulation: Managing Emerging Risks to Public Safety:

For the purposes of this paper, we define “frontier AI models” as highly capable foundation models that could exhibit sufficiently dangerous capabilities. Such harms could take the form of significant physical harm or the disruption of key societal functions on a global scale, resulting from intentional misuse or accident. It would be prudent to assume that next-generation foundation models could possess advanced enough capabilities to qualify as frontier AI models, given both the difficulty of predicting when sufficiently dangerous capabilities will arise and the already significant capabilities of today’s models.

Though it is not clear where the line for “sufficiently dangerous capabilities” should be drawn, examples could include:

• Allowing a non-expert to design and synthesize new biological or chemical weapons.
• Producing and propagating highly persuasive, individually tailored, multi-modal disinformation with minimal user instruction.
• Harnessing unprecedented offensive cyber capabilities that could cause catastrophic harm.
• Evading human control through means of deception and obfuscation.

This list represents just a few salient possibilities; the possible future capabilities of frontier AI models remains an important area of inquiry.

By this, it seems like frontier models are by definition considered to be dangerous or maybe more accurately that they have the potential to be dangerous:

Our definition focuses on models that could — rather than just those that do — possess dangerous capabilities, as many of the practices we propose apply before it is known that a model has dangerous capabilities.

Here lies my old anime watched list that I used to update whenever I’d watch any episode of anime.

Looks like I stopped mid-2003, when I’d landed in Kyoto for my study abroad. I’ve since finished some series and started others, so this is kind of my little anime snapshot in time.

Repertoire [by date]:

1. Robotech
2. Macross: Do You Remember Love?
3. Macross II
4. Gundam 0080: War in the Pocket
5. Akira
6. Ghost in the Shell
7. 3x3 Eyes [09.23.2001]
8. Tenchi Movie: Tenchi Muyo in Love
9. Slam Dunk [undone]
10. Macross Plus
11. Macross 7
12. Neon Genesis: Evangelion
13. Tenku no Escaflowne
14. Flame of Recca
15. Hakkenden
16. Gundam W [undone]
17. Gundam 0083
18. Evangelion: Death/Rebirth
19. Evangelion: End of Eva
20. Gundam 0093: Char’s Counterattack
21. Tenchi in Tokyo
22. Grave of the Fireflies
23. Princess Mononoke
24. Nadesico: The Prince of Darkness
25. On Your Mark
26. Sakura Diaries [undone: 4]
27. Initial-D: First Stage
28. Serial Experiments Lain
29. Ruroni Kenshin OAV
30. FLCL
31. Dual: Parallel Trouble Adventure
32. Gundam 08th MS Team
33. Tenchi Movie 2: The Daughter of Darkness
34. Gundam X [08.15.2001]
35. Giant Robo [undone]
36. Nadesico
37. Slayers [07.25.01]
38. DiGi Charat
39. Trigun
40. Ah! Megumi-sama
41. The Royal Space Force–Wings of Honneamise
42. Kiki’s Delivery Service
43. My Neighbor, Totoro
44. Ponpoko
45. To Heart [undone]
46. Otaku no Video
47. Initial-D: Second Stage
48. Marmalade Boy [08.02.2001]
49. Vandread
50. Love Hina
51. eX-Driver [undone]
52. Kazemakase Tsukikage Ran [undone: 9]
53. Inu Yasha [undone: 10]
54. Kaikan Phrase [undone]
55. Amazing Nurse Nanako [undone: 3]
56. Boys Be… [undone: 7]
57. Love Hina: Christmas Special
58. Initial-D: Extra Stage
59. DiGi Charat: Christmas Special
60. Kareshi Kanojo No Jijou
61. Perfect Blue
62. Ah! Megumi-sama Movie
63. Initial-D: Third Stage [Movie]
64. Noir [undone: 13]
65. Excel Saga [undone: 10]
66. Slayers Next [undone: 25]
67. Card Captor Sakura [undone: 16]
68. Mobile Suit Gundam [undone: 37]
69. Marmalade Boy Movie [08.02.2001]
70. Gun Buster [08.03.2001]
71. DiGi Charat: Summer 2000 Special
72. NieA_7 [undone: 2]
73. Love Hina Spring Special [09.16.2001]
74. Love Hina ep25 [09.16.2001]
75. Spriggan [09.16.2001]
76. Magnetic Rose [09.17.2001]
77. Momoiro Sisters [undone: 1]
78. EDENs BOwY [undone: 1]
79. Magic Knights Rayearth [09.20.2001]
80. Cowboy Bebop [undone: 10]
81. Fushigi Yuugi [10.05.2001]
82. Rurouni Kenshin [undone]
83. Read Or Die [undone: 1]
84. Steel Angel Kurumi 2 [undone: 2]
85. Fushigi Yuugi OAV1 [10.06.2001]
86. Fruits Basket [undone: 2]
87. Kodomo no Omacha [undone: 2]
88. Metropolis [01.25.2002]
89. Gatekeepers [undone: 5]
90. Blood [02.15.2002]
91. Barefoot Gen [03.21.2002]
92. Hellsing [undone: 1]
93. Steel Angel Kurumi [undone: 1]
94. Arjuna [undone: 1]
95. Onegai Sensei [07.14.2002]
96. Najika Dengeki Sakusen [undone: 4]
97. Iketeru Futari [undone: 7]
98. Colorful [04.12.2003]

America is built for driving. There’s hidden demand for something better.

44 percent of Americans — approaching half the country! — would rather live where homes are “smaller and closer to each other, but schools, stores and restaurants are within walking distance.”

That’s a lot more than I expected. But I wonder how that’s split between more rural and urban folks.

The National Association of Realtors (NAR), using a sample of 2,000 adults in the 50 largest US metro areas, 59 percent said they prefer “houses with small yards, and it is easy to walk to the places you need to go.” The remaining 41 percent would choose “houses with large yards, and you have to drive to the places where you need to go.”

I definitely am of the camp of wanting our lives to be more walkable. It gives us more opportunities to interact with one another and more chances to feel like a part of a community. Also, it doesn’t cost anything! (looks at gas prices at $6.29/gal right now)

Ivory’s account switching:

There is also something great in seeing an interface that grows with you, or one where you can say “I wonder if…” based on your prior interactions and expectations, and the interface actually rewarding you for that thought.

I can get pretty strict about the use of terms, symbols, and gestures in an app. This kind of discovery of features is what that kind of strictness and consistency allows for. I see it very similar to game design, where you teach the user the rules of your interactions and visual vocabulary, and once they’re in that world they know what to expect.

When I studied in Kyoto, I took a part time job at a chain sushi boat restaurant, Hakodate Ichiba (すし処 函館). My Japanese was good enough at the time such that they let me stand in front of the house and make nigiri sushi and yell out “いらっしゃいませ” and “マグロいかがでございますか?”

As part of my training, I practiced hand pressing rice for nigiri. I had to make 100 and 80 of them had to be within spec before they would allow me to start making nigiri for actual customers. Each one had to weigh 12.5g (+/- 0.5g) and my manager would check that the rice would not be pressed too hard (like mochi) or too loosely (it would fall apart). It took me a week for me to pass and start getting items onto the belt.

I’ll occasionally have a sushi party at home or at a friend’s place and get a chance to use these old skills again. The trickier bit for me is not knowing how to cut the fish, since that was done for me by other folks. But at least I’ve got my own tricks for making yummy sushi rice now.

Inspired by Kottke’s recent Emptying the Tabs, here’s my own dump from my own digital hoarding:

Understanding the Apple ][. Because, y’know… I might need to reference this later.

Douglas Adams on the English–American cultural divide over “heroes”:

You cannot make jokes about failure in the States. It’s like cancer, it just isn’t funny at any level. In England, though, for some reason it’s the thing we love most. So Arthur may not seem like much of a hero to Americans – he doesn’t have any stock options, he doesn’t have anything to exchange high fives about round the water-cooler. But to the English, he is a hero. Terrible things happen to him, he complains about it a bit quite articulately, so we can really feel it along with him - then calms down and has a cup of tea. My kind of guy!

Ah, good ol’ Arthur Dent. He was my kind of hero when I was growing up. Also, I’d love to give Blackbooks a good re-watch sometime.

Japan’s Dodo Land. A place to be annoyed, for those of us who love to be annoyed.

How Money Works. It leaves your wallet? What else do you need to know?

Inner Drumming. I’ve yet to have a chance to learn drumming, but this sounds like my kind of learning.

Why the open social web matters now. I mean, the Internet seems to be in decay, so maybe this posting on my blog is all for naught?

Adaptive Mixtures of Local Experts. Some light reading for when you want to dive in to how a Mixture of Experts (MoE) LLM model works, straight from the source. Been wrapping my head around MoE’s vs dense models.

Why did AMD just buy this REALLY WEIRD chip company? YouTube video discussing the acquisition of Taalas by AMD. Smells like positioning for local AI, and has hints of what folks were doing for making ASICs for crypto mining.

Why your local LLM feels dumber than it is.

Remote for OpenCode. Looks promising, and fancy way to handshake via iCloud, but doesn’t seem like it works yet outside of the local network. Maybe Tailscale is the right way forward?

Aging Brains Blend Memories Together Instead of Just Forgetting Them, Study Finds. Our context is just filled up, alright. Need to compact.

There’s more than this, but that’s it for now. I can least feel like I can close these tabs and come back to this list if I need to come back to them. Thank you for your attention to this matter.

Now it’s faster and easier to add a new plan on Ready Time. With Ready Time 3.6, you can now select from 46 pre-defined routines to start your plan, including:

• Morning routine. Getting up can be tricky for some of us, and having a regular routine definitely helps out.
• Doctor appointment. You scheduled it, so you gotta make sure you get out the door and to the doctor’s office in time.
• Concert night. Don’t wanna miss the headliner!

And now, for folks who are discovering Ready Time from the web, if you visit a routine page from Safari on iOS, you can start an App Clip right from the page to quickly start planning for a deadline without even needing to install the full app! Just open a routine page like Getting out of bed and open the App Clip right from Safari.

The App Clip lets you get notifications for each step in your plan, just like the full app. And when you’re ready to create more plans or customize your plans more, you can quickly download the full Ready Time app.

We hope these updates will make using and trying out Ready Time faster and easier.

Let me know if you have any feedback. I love to hear from you.

“It’s parenting, but somewhere else”

– overheard

Packing List

Some things I brought along for the con:

• Flipper Zero. Never used it.
• Baofeng UV-5R. I thought I’d charged it before the con but I didn’t and so couldn’t use it, gah!
• Zojirushi Thermos. Came in clutch for having hot(-ish) coffee throughout the day, especially when I was in Ham In A Day.
• RFID protected wallet. Learned from the previous year not to let my hotel key sit naked in my bag (I wasted way too much time waiting for the hotel to help me back into my room).

Things Learned

• I got my Technician Ham License! This was one of my childhood dreams until I was stifled by the Morse Code part of the test. But thanks to the Ham In A Day class, I’m now KO6OUJ! Thank you, Ham Radio Village!
• Fox Hunting. Even though I wasn’t able to use my Baofeng that I brought (boo!), the generous Cat Dragon from the Ham Radio Village let mikwat and I borrow a spare radio to try hunting foxes. We had no idea what we were doing, but with some perseverance and trial and error, we learned some techniques:
  • body shielding
  • detuning
  • tightening the squelch Even though we ultimately didn’t find a fox, we learned a lot along the way, met various random folks in the journey, and just had loads of fun!
• Meshtastic. I’d heard chatter about this online, but didn’t have a real sense of how many people were using it. I met so many folks who had radios at the con, went to talks about the technology, and then went and got myself a radio. It was a great place to get started, getting onto mesh, and listening in on the primary channel. Been playing more with Meshtastic and learning more since I’ve been back home.
• Bruce Schneier. What a treat to attend a talk by the legend himself! I read his blog, so it was amazing to be able to see him in person. Inspiring.
• Silent disco headphones. I thought the use of headphones were a clever way to pack more folks into the large hall without the problems with audio leaking between talks. In previous years, it was pretty common for me to have difficulty hearing speakers, so I really liked this. It was rather controversial though, as a lot of attendees, I imagine, are likely germaphobes.

Other Random Tidbits

• “Less luck. More skill. Less Claude.”
• I’ve never had a real handle for myself at the con, but this year I came up with one I like: fourants and I “hacked” my badge to have it show my new handle.
• First Friday at the Arts District at 10PM, 110 degrees, tons of kids hanging out on a summer night!
• We never got a chance to try The Loop, every time we tried to book a car it failed. We’d get an error after putting in payment details rather than up front before the booking form: annoying!
• Spent some time in the arcade, where I got my butt beat in Marvel Super Heroes. I had a bit of better luck at protecting the planet in Galaga instead.
• My flight from Harry Reid got delayed…then canceled. Ended up spending an extra night, though I was too pooped by the end to try to drop in on the closing night’s parties.

We’ve been getting books from Dolly, and I have to say, they are such an incredible gift and delight to receive and read. The stories from the books we’ve gotten are now a part of our family’s lore.

Thank you, Dolly Parton, or, as the little one says in the cutest way: Dolly Person.

Sending Hearts To All My Dearies. A tribute album to Smashing Pumpkins.

If you grew up in the 90’s listening to alternative, you’ll notice every track is one you’ve heard before.

Some re-interpretations, like, Tonight, Tonight by The Midnight, feel a little lackluster to me. But maybe a more mellow version can sometimes be called for, given the right occasion, like, maybe a midnight drive in a red Ferrari Testarossa. I do find it funny that there are 80’s synthwave remakes of 90’s songs.

Good friend Gage has been toying with a new idea: Particles:

Particles is shared memory for humans and AI agents. Each particle is one claim, plus what you need to judge it: who said it, where, when, and how confident they were. Facts, opinions, and memories are all claims, recorded the same way as particles. Particles are not edited or deleted. Particles are superseded, retracted, or disputed in the open. How much to trust it is a perspective applied at query time, never baked into the record.

In the current post-truth world, this an interesting idea: the facts we have have a relative truth based on your own viewpoint and perspective. If we give an agent knowledge/ideas/data, it doesn’t really know what truth/facts are without us telling or asserting its validity or it looking it up from other sources. The more personal our agents become for our own uses, it seems like we’ll want to ensure our agents know our own worldviews and the weights of our claims compared to the information it finds from other sources.

Maybe I’m late to the game, but seems like there’s so much thought right now going around on how to manage the context going into models at inference. Context engineering. Personal RAG.