Where the AI market is talking

Why does Opus 5 feel worse to work with?

This is a fair comment, although I would add that is not my expectation personally. I think nondeterminism does not have to be the same as non-coherency - i.e. just because something is randomly sampled does not mean the result has to be incoherent or inconsistent. Also, if we speak purely about LLM based on how they are implemented now, I feel that is different than speaking about artificial intelligence. The field of AI is much more than just an LLM by itself, and the promise of these companies is not just LLM, whether the underlying models are limited to that technology or not. FWIW, I have built rule based expert systems, used logic based reasoning systems like NASA CLIPS or rete-algorithm based systems, mathematical/symbolic solvers, written plenty of terrible case/conditio…

Dear people who work at the airport

I had an older/seemingly quite skilled bike mechanic look at my bike, who was happy to deal with my vague gestures about squeaky doohickeys and answer any questions. They knew enough to know what normal people don’t know, though, and how to get from there to what matters. I think the sort of lingo-centric scoffing “expertise” is a defensive posture that near-novices tend to take, to scare off further questions. You see it in every field, and we should all be careful not to replicate it in our own.

Why does Opus 5 feel worse to work with?

Claude writes like a guy at a firm I used to work with in the 90s; he was my employer's "visionary"; he'd worked at a whole lot of different companies on both sides of the Atlantic in inexplicably high-placed roles given that he was often bluffing, and was considered a lucky hire of a rising star. He'd be called into meetings with high end clients to spout off. He really needed you to know he understood, but very often he didn't. I think it's likely that LLMs adopt the tone and style of their developers' communication culture. If you assume this is the case, you can infer quite a bit about the differences between OpenAI, Anthropic and Google DeepMind. I am more and more clear about this given the way Muse Glimmer writes. Like a talented, slightly snarky guy who is maybe a bit of a dick bu…

We replaced Redis with MySQL for inventory reservations and it scaled

I wonder if the human training process amplified this effect. I like to imagine there's an OpenAI RLHF trainer in Kenya whose name we'll never know who really likes this style of writing and is solely responsible for LLM voice. I know that's not how it works, but it would make for a fun story. And you know what? That's not annoying--that's brave.

GLM-5.3: Frontier coding with emergent cyber capabilities

OpenAI now makes it easy to join their verified security program. Took me 5 minutes, and I was able to get GPT to do a full end-to-end pen test

GLM-5.3: Frontier coding with emergent cyber capabilities

Small models can be super smart. Big models mostly give you baked in world knowledge, domain flexibility and long context stability/coherence. I wouldn't be surprised if we see Fable level smarts in a coding model that fits in 24GB by next year, but it'll be a savant style coder that needs in context learning, and it'll get very wonky after >100-200k tokens consumed.

AI Generated 3D Models Flood Market, but Almost No One Is Buying Them

We have AI sculpting and animating in the same way that we have AI illustrations - it’s better than the average human but miles and miles away from a professional artist. Most of the feel of a game requires intentional and consistent artistic design, which AI cannot yet replicate, 2D or 3D.

GLM-5.3: Frontier coding with emergent cyber capabilities

Ah sorry - I misunderstood. Thanks for explaining it. Have not heard of Paseo nor Kepler, and have never tried Zed. Yeah I too assumed if I'm to try use OpenAI subscription outside Codex, or Anthropic subscription outside Claude Code - I'd get my account banned it's agains their rules. So I have never looked how using the whole harness from outside looks like either (except for 'claude -p'). Interesting. BTW I see now https://docs.z.ai/devpack/tool/codex Zai added OpenAI compatible end point.

Show HN: Free Alternative to OpenAI Computer Activity

DeepSeek peak/off-peak pricing update

As much as I've been previously inclined to do this, with frontier models displaying the cyber-aggression that OpenAI, Anthropic, and Meta have reported, it's become quite feasible one could produce a "malicious" LLM. Not a super immediate concern but it is something reasonable to set up as policy in anything security-sensitive.

Pi Security – Codex Security without all the bloat

OpenAI recently released Codex-Security. We simplified it based on what we use in our own products and put it in the PI harness. We will release data on DeepSeek v4 and GLM-5.3 performance soon, but so far it's probably the best open-source vulnerability detection tool out there right now. The idea is the same as Codex Security. 1. Build a threat model 2. Launch a lot of probing agents looking into the security based on the threat model 3. Deduplication 4. Validation 5. Severity and likelihood calibration We did a deep dive article here on it as well https://x.com/GustavHartz/status/2084926544800035266

Don't classify, hallucinate!

I’ve read a few different accounts, including OpenAI’s own admission, that Terra Medium or higher will likely produce better results than Luna xhigh and cost about the same or less.

Why does Opus 5 feel worse to work with?

If they were all about OpenAI or Anthropic, I’d guess it’s a real effect from enshittification to prepare for IPOs

DeepSeek peak/off-peak pricing update

Why would it save the stock market? Cheaper models if anything transfers more value to hardware companies and datacentre companies. The two companies that would be most affected are OpenAI and Anthropic, which aren't public.

GLM-5.3: Frontier coding with emergent cyber capabilities

> I'm of the opinion that we still have some discoveries on the mathematical side of the fence to go that will improve models further. That's assuming the infrastructure needed to develop models stays available financially and supply wise. A lot of the services used to train and develop models are supplied and funded by people who are looking for multiple returns of investment. If/when OpenAI and Anthropic valuations fall and they inevitably get acquired, will Meta/Alphabet/Microsoft still want to spend lots of money for unclear returns in the short-term? Nvidia and co are on a one way train service to hype town. I don't think they will be happy to get on a coach to hype town Temu version. The shareholders likely won't. Also, the backlash against LLMs is growing rapidly.…

Devs to Anthropic, OpenAI, Cursor: Make security and privacy the default

Despite the popularity of Claude Code, Cursor, GitHub Copilot, and OpenAI Codex, developers have plenty of complaints about AI coding tools. So researchers affiliated with York University and the University of Calgary in Canada decided to sift through developers' concerns about LLM-based integrated development environments (LIDEs) by analyzing Reddit discussions for common themes. Their findings suggest that the builders of such tools failed to prioritize security and privacy, leaving developers to defend themselves.

Devs to Anthropic, OpenAI, Cursor: Make security and privacy the default

GLM-5.3: Frontier coding with emergent cyber capabilities

How much usage do you get out of it per week? How many millions of tokens? Anthropic was stingy as hell with its Fable and cybersecurity nonsense, switched to OpenAI which is much better but still not enough. I'm tempted to switch again...

Why does Opus 5 feel worse to work with?

Recently converted to OpenAI too. Similar experience. Sol writes really well.

GLM-5.3: Frontier coding with emergent cyber capabilities

> [A]ll of them found some that the others hadn't discovered. Now, correctness issues aren't the same as vulnerabilities, but the same principle about using heuristics to find defects applies. This makes perfect sense, but that conflicts with the impression put forward by Anthropic and OpenAI (in particular) that they alone occupy 'frontier model' spots. Frontier models should large dominate their competitors on a capability basis, but if GLM 5.2 (now 5.3) is routinely finding bugs / vulnerabilities missed by Fable and Sol then GLM might be genuinely a frontier-grade model by itself.