Tim Kellogg
@timkellogg.me
AI Architect | North Carolina | AI/ML, IoT, science
WARNING: I talk about kids sometimes
WARNING: I talk about kids sometimes
Pinned
Social Media “Nutrition Label” for me for the last several days (thanks nano banana!)
you can ABSOLUTELY lose money, and that can be a good thing in the right situations, like if you’re capturing market
it’s possible o3 didn’t actually make money after the price cut, but they were just angling to capture the market for gpt-5 which would make money after
it’s possible o3 didn’t actually make money after the price cut, but they were just angling to capture the market for gpt-5 which would make money after
November 25, 2025 at 3:51 PM
you can ABSOLUTELY lose money, and that can be a good thing in the right situations, like if you’re capturing market
it’s possible o3 didn’t actually make money after the price cut, but they were just angling to capture the market for gpt-5 which would make money after
it’s possible o3 didn’t actually make money after the price cut, but they were just angling to capture the market for gpt-5 which would make money after
oh yeah, they work for pinning versions, but ime submodules are basically the worst way of managing dependencies and i’ve had my share of scars from them
November 25, 2025 at 3:30 PM
oh yeah, they work for pinning versions, but ime submodules are basically the worst way of managing dependencies and i’ve had my share of scars from them
too many people seem to be convinced that LLM vendors set prices on a cost plus basis
no, the advantage of closed weights is you can explore prices completely detached from cost. You’re free to set prices based purely on what people will pay, the value they get from it
no, the advantage of closed weights is you can explore prices completely detached from cost. You’re free to set prices based purely on what people will pay, the value they get from it
November 25, 2025 at 3:29 PM
too many people seem to be convinced that LLM vendors set prices on a cost plus basis
no, the advantage of closed weights is you can explore prices completely detached from cost. You’re free to set prices based purely on what people will pay, the value they get from it
no, the advantage of closed weights is you can explore prices completely detached from cost. You’re free to set prices based purely on what people will pay, the value they get from it
you don’t even need submodules. i just clone into a .clones dir and add it to .gitignore, works fine
Also, most agents will seek out dependency code in venv, node_modules, etc.
Also, most agents will seek out dependency code in venv, node_modules, etc.
November 25, 2025 at 3:19 PM
you don’t even need submodules. i just clone into a .clones dir and add it to .gitignore, works fine
Also, most agents will seek out dependency code in venv, node_modules, etc.
Also, most agents will seek out dependency code in venv, node_modules, etc.
are you saying that based on their methods reported in the model card?
November 25, 2025 at 2:22 PM
are you saying that based on their methods reported in the model card?
codex just taught me about jina.ai reader
an API you can easily use via curl that takes a URL and converts it to LLM-friendly text. Free to use, afaict
github.com/jina-ai/reader
an API you can easily use via curl that takes a URL and converts it to LLM-friendly text. Free to use, afaict
github.com/jina-ai/reader
GitHub - jina-ai/reader: Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/ - jina-ai/reader
github.com
November 25, 2025 at 2:20 PM
codex just taught me about jina.ai reader
an API you can easily use via curl that takes a URL and converts it to LLM-friendly text. Free to use, afaict
github.com/jina-ai/reader
an API you can easily use via curl that takes a URL and converts it to LLM-friendly text. Free to use, afaict
github.com/jina-ai/reader
calling out bs on my own posts because microsoft can’t be trusted to not commit chart crimes
community note: using cost on the y axis makes it appear like cheaper models are more capable on pass@3
November 25, 2025 at 2:10 PM
calling out bs on my own posts because microsoft can’t be trusted to not commit chart crimes
one side conversation i had multiple times at AIE was that maybe mono repos are good
if all of your dependencies are sitting on disk, the agent doesn’t need to rely on documentation
even wo monorepos, it’s a good idea to clone tricky dependencies locally
if all of your dependencies are sitting on disk, the agent doesn’t need to rely on documentation
even wo monorepos, it’s a good idea to clone tricky dependencies locally
November 25, 2025 at 2:04 PM
one side conversation i had multiple times at AIE was that maybe mono repos are good
if all of your dependencies are sitting on disk, the agent doesn’t need to rely on documentation
even wo monorepos, it’s a good idea to clone tricky dependencies locally
if all of your dependencies are sitting on disk, the agent doesn’t need to rely on documentation
even wo monorepos, it’s a good idea to clone tricky dependencies locally
community note: using cost on the y axis makes it appear like cheaper models are more capable on pass@3
November 25, 2025 at 1:59 PM
community note: using cost on the y axis makes it appear like cheaper models are more capable on pass@3
i only use it via MCP and i find it a bit shaky. the results are decent but it’s historically been slow. i’m hoping this changes things
November 25, 2025 at 1:56 PM
i only use it via MCP and i find it a bit shaky. the results are decent but it’s historically been slow. i’m hoping this changes things
Fara 7B: A cheap & capable open weights computer use agent (CuA)
they got within a few points of o3’s performance using only 4k training data points (yes, synthetic)
www.microsoft.com/en-us/resear...
they got within a few points of o3’s performance using only 4k training data points (yes, synthetic)
www.microsoft.com/en-us/resear...
November 25, 2025 at 1:54 PM
Fara 7B: A cheap & capable open weights computer use agent (CuA)
they got within a few points of o3’s performance using only 4k training data points (yes, synthetic)
www.microsoft.com/en-us/resear...
they got within a few points of o3’s performance using only 4k training data points (yes, synthetic)
www.microsoft.com/en-us/resear...
Exa 2.1: both fast and accurate search (that’s not Google)
available both as an MCP server & web UI
exa.ai/blog/exa-api...
available both as an MCP server & web UI
exa.ai/blog/exa-api...
November 25, 2025 at 1:42 PM
Exa 2.1: both fast and accurate search (that’s not Google)
available both as an MCP server & web UI
exa.ai/blog/exa-api...
available both as an MCP server & web UI
exa.ai/blog/exa-api...
well, i meant that as a joke. stuff in the pic aren’t exactly positive traits
November 25, 2025 at 1:22 PM
well, i meant that as a joke. stuff in the pic aren’t exactly positive traits
this is the value of these new scaled models
GPT-5-Pro could probably do it too, but you’d pay like $30 for one shot
Gemini 3 & Opus 4.5 can still run fast & cheap bc they’re extremely sparse MoE, but solve very tricky problems
we truly need scale along both axes
GPT-5-Pro could probably do it too, but you’d pay like $30 for one shot
Gemini 3 & Opus 4.5 can still run fast & cheap bc they’re extremely sparse MoE, but solve very tricky problems
we truly need scale along both axes
Opus 4.5 solved a very tricky, complex problem in one session for me (VS Code Agent mode) that Sonnet 4.5 had been giving up on all day yesterday (I'm quite relentless).
November 25, 2025 at 12:48 PM
this is the value of these new scaled models
GPT-5-Pro could probably do it too, but you’d pay like $30 for one shot
Gemini 3 & Opus 4.5 can still run fast & cheap bc they’re extremely sparse MoE, but solve very tricky problems
we truly need scale along both axes
GPT-5-Pro could probably do it too, but you’d pay like $30 for one shot
Gemini 3 & Opus 4.5 can still run fast & cheap bc they’re extremely sparse MoE, but solve very tricky problems
we truly need scale along both axes
that’s it, i’m calling it, software engineering is over
AI can do everything an engineer can do
AI can do everything an engineer can do
![80×24
user@machine:~$ codex-cli execute --parallel=10 -verbose --mode=chaos
[09:15:221
[CLI] Initializing 10 parallel workers on local GPU cluster...
[09:15:23]
[CLI] Loaded model: codex-davinci-003-turbo
[09:15:23]
[CLI] WARNING: 'chaos' mode active. Expect non-deterministic output.
LPID
3101]
[TASK 01]
[PID
• START: Refactoring legacy Python 2.7 codebase to idiomatic Rust.
3102]
[TASK 02]
RUNNING: Generating 500 unit tests for an empty function. [==>..••...] 25%
IPID
3103]
[TASK 03]
START: Explaining Kubernetes architecture using only food analogies.
IPID
3104]
[TASK 04]
DONE: Optimized a Dockerfile to be 12 bytes smaller. (took 0.2s)
[PID 3105]
[TASK 05]
.........•]
5%
RUNNING: Translating the entire Linux kernel comments into Haiku form. >...
[PID 3106] [TASK 06] • START: Attempting to vertically center a div using CSS and machine learning.
[PID 3107] [TASK 07] loop detected).
A STALLED: Arguing with another GPT instance about tabs vs. spaces. (Infinite
[PID 3108]
LTASK 08]
>........•] 1%
[PID 3109] ITASK 09]
RUNNING: Trying to exit Vim using reinforcement learning. Iteration 2,491.
CRITICAL: Attempting to parse HTML with regex. Elder Gods summoned. ZALGO
imminent.
[PID 3110]ITASK 10] • START: Predicting the exact heat death of the universe based on current npm dependency trees.
[09:15:35] [CLI] STATUS: 1 Finished, 4 Running, 1 Stalled, 1 CRITICAL, 3 Pending. GPU Temp: 92°C.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:usglohqysqawyhpspgg3hemf/bafkreia2gvuyfom2mwcl3tufcpedzom6x2bjhnbzwqrmjtu3nuftg5yxtq@jpeg)
November 25, 2025 at 12:23 PM
that’s it, i’m calling it, software engineering is over
AI can do everything an engineer can do
AI can do everything an engineer can do
Reposted by Tim Kellogg
Opus 4.5 solved a very tricky, complex problem in one session for me (VS Code Agent mode) that Sonnet 4.5 had been giving up on all day yesterday (I'm quite relentless).
November 25, 2025 at 7:32 AM
Opus 4.5 solved a very tricky, complex problem in one session for me (VS Code Agent mode) that Sonnet 4.5 had been giving up on all day yesterday (I'm quite relentless).
**i** haven’t tried doing that, but sonnet 4.5 and gpt-5.2 are both aware of their context length
November 25, 2025 at 12:12 PM
**i** haven’t tried doing that, but sonnet 4.5 and gpt-5.2 are both aware of their context length
nano banana infographic => Veo 3 pan around character => create Sora character
November 25, 2025 at 1:27 AM
nano banana infographic => Veo 3 pan around character => create Sora character
merging the kiddo’s trio of passions for space facts, hamsters, and K-pop demon hunter
November 25, 2025 at 12:44 AM
merging the kiddo’s trio of passions for space facts, hamsters, and K-pop demon hunter
i built this for myself a few months ago. it worked well, except that i only launched them in subagents (to preserve the prefix cache). this would probably work a lot better
no such thing as too many tools!
no such thing as too many tools!
A tool for searching for relevant tools to keep context clean?
Was thinking about this last night as I approached sleep and glad to find this morning that one of the thought leaders rolled out this capability
www.anthropic.com/engineering/...
Was thinking about this last night as I approached sleep and glad to find this morning that one of the thought leaders rolled out this capability
www.anthropic.com/engineering/...
Introducing advanced tool use on the Claude Developer Platform
Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.
www.anthropic.com
November 25, 2025 at 12:39 AM
i built this for myself a few months ago. it worked well, except that i only launched them in subagents (to preserve the prefix cache). this would probably work a lot better
no such thing as too many tools!
no such thing as too many tools!
are you saying you won’t listen to the episode?
November 24, 2025 at 11:47 PM
are you saying you won’t listen to the episode?
for those unaware — Ilya was a core researcher at OpenAI (founder??). You can probably credit the success of LLMs mostly to him
he quit and started SSI saying that he won’t say a single thing until they reach ASI. got many billions in funding
and he hasn’t. it’s been completely silent, until now..
he quit and started SSI saying that he won’t say a single thing until they reach ASI. got many billions in funding
and he hasn’t. it’s been completely silent, until now..
November 24, 2025 at 11:34 PM
for those unaware — Ilya was a core researcher at OpenAI (founder??). You can probably credit the success of LLMs mostly to him
he quit and started SSI saying that he won’t say a single thing until they reach ASI. got many billions in funding
and he hasn’t. it’s been completely silent, until now..
he quit and started SSI saying that he won’t say a single thing until they reach ASI. got many billions in funding
and he hasn’t. it’s been completely silent, until now..
are TPUs actually that much faster? i just figured they’re in the same general range
November 24, 2025 at 10:47 PM
are TPUs actually that much faster? i just figured they’re in the same general range