Steven Goh (@crazygrape) header
Steven Goh (@crazygrape) profile picture

Entrepreneur / traveller / photographer / diver / cook . tweeting the best of what I'm reading today ...

Some island somewhere ...
Joined August 2007
Photo by Steven Goh (@crazygrape)Photo by Steven Goh (@crazygrape)Photo by Steven Goh (@crazygrape)Photo by Steven Goh (@crazygrape)Photo by Steven Goh (@crazygrape)Photo by Steven Goh (@crazygrape)
unaustralian. people fueling the rheteroic that encourages this reprehenisible attack should be ashamed // Independent MP Helen Haines critically injured in attack, PM says counter-terrorism team activated, 43-year-old man arrested theconversation.com/independ… via @ConversationEDU
517
Steven Goh retweeted
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
776
3,477
1,537
32,361
10,891,151
Steven Goh retweeted
We've worked with @Nvidia to secure @OpenClaw. Because of that work, we're proud to join the Open Secure AI Alliance, alongside the NVIDIA team and the broader open source AI community.
AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5
8
9
105
28,290
is it me or is gpt5.6 mostly a dud?
1
124
Steven Goh retweeted
We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch. We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
130
585
147
4,748
763,653
Steven Goh retweeted
Claude Code creator Boris Cherny: "The model writes 100% of my code." - at Sequoia AI Ascent, he explains why he thinks coding is solved and now ships from his phone. - loops + routines + hundreds of agents + 150 PRs in a day" - that's the setup. Bookmark this.
12
17
142
20,292
Steven Goh retweeted
Creator of the viral Ralph loop: "Software development as a profession is dead. Software engineering is very much alive." His whole agent is one bash loop that re-runs until the code is right. He says it drops the cost of shipping software below a fast-food wage. The typing is dead. The judgment is the job now. Is "developer" already a dead title, or not yet? Pick a side.
31
14
2
167
16,475
Steven Goh retweeted
New NPM all time high record for @openclaw, going from strength to strength!
15
10
5
176
625,442
Steven Goh retweeted
One of the biggest questions in AI is how far behind open weights models remain from closed models at any given time. There are huge differences in market structures depending on whether open weights models remain 3 or 6 months behind, or if they fall behind by years. The answer to this will determine how the chip stack plays out, where inference can be run, what sovereign AI looks like, what happens at the applied AI layer, what the margin structure looks like in AI, how much companies can afford to spend on AI, and more. At the moment the open weights players appear to be holding up at keeping close to frontier levels of capability. Will be fun to see how this plays out.
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.2 Coding Plan: z.ai/subscribe Chat: chat.z.ai
42
31
4
355
75,663
And people wonder why I don't support crypto. Got so much love from that community. "Lobster from the base" could be a really cool band tho.
406
43
61
2,004
387,590
Steven Goh retweeted
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
1,427
2,133
690
21,410
23,759,841
So it looks like Claude got there first: an actually smart phone assistant that can take complex requests that involve both common sense and complicated constraints. It is still beta feeling though & I found I needed to use the bigger Opus model as Sonnet was not smart enough.
34
35
7
652
65,176
.. i just really want to find a social network where it's a social network (ie, my content is valuable, the operator of the platform believes my content is valuable n should be respected), n i'm not being pumped up by angry voices all day because some product manager has goals.
1
4
291
Steven Goh retweeted
Founders are allowed to play jazz because they have the legitimacy of being the creator. Managers usually can’t play jazz because once they deviate from the scales or do something that breaks convention, they are fired. Downside management vs taking risk to become legendary
Founder mode has always felt a bit like learning to play jazz to me. When you first start you're lucky to have a good idea or two, but mostly it's random and doesn't sound that good. Then you start learning the rules and practicing your scales. Stuff starts to sound decent but you lack originality. You're boring. Then you figure out how to break the rules, but do it in a way that is interesting, novel, and catches attention. This is where legends are born. This is founder mode at its best.
43
42
5
603
111,153