Lock

Founder mode at @Flarebase_dev

[Cloudflare @Cloudflare]

Agents can write code faster than teams can review, deploy, and maintain it. Today we’re introducing the Agent Development Lifecycle and the Cloudflare primitives that underpin it. https://t.co/ms4ifso5on

[Elon Musk @elonmusk]

Accurate 😂

[Lock @locksith]

@tetsuoai pretty handy! save ton of time.

[Kun Chen @kunchenguid]

now that the dust is settling around the last wave of model releases, and i've had enough time to use all these models in practice, let me share a more complete set of thoughts

1. grok 4.5 is probably the single most significant event during the last couple of weeks

i've been talking with many heavy users across model families, and it's pretty much a consensus that grok 4.5 is the most "pleasant" frontier model to work with day to day. it's incredible how precisely the team behind it found this perfect sweet spot and created a model that's so fast, efficient and capable

it proved spacexai is now a 3rd real player in addition to anthropic and openai. they have real time data from the biggest public townsquare of humans, they have acquired a popular agent harness, and now they have proven they can build great models. and if you look closely, they are designing their own chips, they have their own data centers, they can send GPUs into the space and create tokens out of sunshine

holy shit

2. speaking of data, human usage over a harness proved to be extremely important for training good models. grok 4.5 was the first model that incorporated cursor's data and it made a massive difference compared to previous generations of grok

this explained why amazon mandates employee usage of kiro, why meta installed mass surveillance over employee devices, why anthropic bans 3rd party harnesses, and why google is still struggling with gemini - because they don't have a popular harness with mass adoption to collect the data

this is part of why i don't think the subsidized LLM subscriptions will end any time soon, because a wide consumer adoption is the best source of data collection. we're paying the subsidized tokens by teaching their models how to get work done

3. opus 5 flopped. almost no one likes it. the only people who like it seem to be using it to one-shot 3d games that look impressive but no one will ever buy

anything that AI can one-shot is just the definition of garbage, because if you can one-shot this thing with a quick prompt, you should know that it means billions of other people can also do it - you will not create anything of value this way

and this is just a symptom of a more fundamental problem that model training is heading down a slippery slope where machine verifiable outcome is dominating over human feedback

the latest training process rewards the agent for running for a long time and finishing a complex project, yet no longer seems to care about how the agent talks to its human

jargons, walls of text, "an honest mistake" - opus 5 showed us that we need AI that's more human friendly. let's not build a world where we end up working with robotic a**holes all day

4. fable 5 remains undefeated as the upperbound

i talked about this in my previous post about wisdom vs diligence. the benchmarks blend both together so it's not easy to see, but fable 5 is the GOAT on the "wisdom" dimension despite it not winning on every benchmark. if you used it meaningfully, you know what i'm talking about

that said, it seems anthropic is extremely paranoid about other players, including open models, reaching the same level of intelligence, which is an indication that the moat is not strong. kimi k3 is just a preview of what it looks like

at the same time, fable is the first time token cost is becoming a very real problem. it's the only model so far that i can't afford to keep using all day. i suspect this will remain true for a while, that we have to pick and choose what tasks to give to fable-tier models, not using them as a daily driver

5. openai is in an interesting position

gpt models have been great at efficiency, but now grok is also very competitive. gpt also haven't quite reached the same wisdom upperbound where fable is yet - although gpt 6 may change that

i think there are two angles for openai to pursue:

- continue to bet on efficiency, and go after enterprise adoption while claude is too expensive and grok has a brand tax to pay there. this is a very viable strategy

- or.. compete head on with fable on wisdom and win against them on the "human friendly" aspect. although traditionally this hasn't been the strength of openai models either, so this feels like a low-ROI option

alright, that's a bit of a long post but the landscape is just becoming increasingly complex. hope these thoughts are helpful in terms of providing a reference for how to rationalize everything happening

[Justin Schroeder @jpschroeder]

This chart says so much....

- Literally the exact same prompt.
- All long horizon one-shots.
- Totally reflects real-world experience.

[mohamed @momito]

Introducing Nimbus - docs for the agentic web 🌧️

Nimbus is an Astro framework for building docs, made for human and agentic workflows.

- own every file, no theme to fork
- agent-native: llms.txt, .md twins, MCP
- features install as recipes your agent applies
- support for agentic authoring, with a built-in prose linter
- open source

We've dogfooded it on our Cloudflare Docs this week (which has 8,700+ pages) and cut build times from ~19m to ~7m now.

Your docs are product zero, they deserve the same care as the product itself.

It's still really early and a bit of an experiment, so I'm excited to see where this ends up.

[Lock @locksith]

win-win

[Premium @premium]

SuperGrok Heavy now includes X Premium+ at no extra cost.

Just link your X account in the Grok app to activate it instantly.

[Lock @locksith]

I like what you just said Grok 4.5. good job!

[Dan Hollick @DanHollick]

Have you ever wanted to make your own font? Well I've written something that will hopefully dissuade you from that idea.

https://t.co/UC8l6JMlWm

It's free to read for the next 48hrs. Enjoy.

[Cloudflare Changelog @CFchangelog]

Durable Objects now supports apac-ne and apac-se location hints. Use these to fine-tune placement for users in Northeast or Southeast Asia and lower latency.

https://t.co/xyezdNrnYt

[Kristian Freeman @kristianfreeman]

we relaunched @cloudflare's startups website and made the review process much faster.

https://t.co/OHLy9BM7zK

up to $350k in credits. apply plz, it's time to build

[jason @jxnlco]

https://t.co/9KkXEINuIj

[Mike Nomitch @MikeNomitch]

Check out our starter template here: https://t.co/Kkj934xFWD

[Cloudflare @Cloudflare]

Cloudflare has integrated with Anthropic's Claude Managed Agents to provide a fast, isolated execution environment for autonomous code delivery. This means builders can scale agent workflows globally while strictly controlling access to private backends and easily customizing their agent’s tools and runtimes. https://t.co/HZ1kD0qVmO

[Frank @jedisct1]

New blog post: Bun's problem may be developing in the open https://t.co/mxGswDjANY

[Peter Pistorius @appfactory]

https://t.co/gHoAUUfHAR - boot once, run everywhere.

A MicroVM that runs on hardware you already own.
Close your laptop and it hands off to another host.
Works across macOS, Linux, and Raspberry Pi. (aarch64)

[Lock @locksith]

@MarcSelwan @akaphill @CloudflareDev @jeromeschneider This is awesome!

[Bin Liu @liu8in]

https://t.co/eFzPqAOeiB

[Cloudflare @Cloudflare]

Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist: https://t.co/jqwJXMo6tb

[Cloudflare @Cloudflare]

An experimental voice pipeline for the Agents SDK enables real-time voice interactions over WebSockets. Developers can now build agents with continuous STT and TTS in just ~30 lines of server-side code. https://t.co/fsXTBZzs3x