Will it be accessible to anyone ?
Previewing GPT‑5.6 Sol: a next-generation model
611–620 of 797 posts
Re: Previewing GPT‑5.6 Sol: a next-generation model
#612Earlier quoted context omitted.
We rolled out Deepseek V4 Flash to our customers and it was an absolute disaster, unfortunately. It was not able to follow simple commands, always "forgot" to do things, lied consistently about its work, and so on. It was pretty good though on on-off work, like summarizing something or executing simple commands, so we are experimenting now with using it for subagent work with clear instructions and hand off. Deepseek…
Your experience with DeepSeek v4 Flash differs from mine: while I usually use DeepSeek v4 Pro (that is also inexpensive), I find using DeepSeek v4 Flash with the Fireworks.ai API and properly configured OpenCode to be very good for routine work, and it is pleasantly very fast. Admittedly I use DeepSeek v4 Pro for difficult problems. I encourage people to at least once a month to do a quick evaluation with their own p…
We are also using fireworks as our model provider. Our harness is openClaw, so tasks are not only coding but all kinds of tasks.
For instance, I asked to fetch some info from the web via Chrome browser and to collect the info in an MD.
The MD never appeared, even though it claimed to. I asked it three times to write the MD and it was always: “oh yes, I do it now..” then nothing. The search itself also was very bad because it just gave up after one page and hallucinated an answer and - even worse :-) - told me it was very thorough…
Pro aced the task :-)
But maybe its a config issue.
Re: Previewing GPT‑5.6 Sol: a next-generation model
#613Earlier quoted context omitted.
Hopefully like this (but smarter): https://chatjimmy.ai/
Wow.. what?! How is this so fast?! Where can I read more?
Taalas https://taalas.com/the-path-to-ubiquitous-ai/
Previous HN discussion: https://news.ycombinator.com/item?id=47103661
Re: Previewing GPT‑5.6 Sol: a next-generation model
#614Earlier quoted context omitted.
If you have no need for Anthropic/OpenAI's frontier model capability, you may be better served with an open-weight model that can't be taken away. Edit: > GPT-5 does the job. I bring up DeepSeek V4 Flash a lot on HN, but I want to mention that according to Artificial Analysis, it trades blows with GPT-5 (high) (from August, 2025) [0] [0]: https://artificialanalysis.ai/models/comparisons/deepseek-v4...
Unless you are hosting it yourself on your own infrastructure it absolutely can be taken away.
I just want personal agency
Re: Previewing GPT‑5.6 Sol: a next-generation model
#615Earlier quoted context omitted.
Codex 5.4/5.5 has been great for me as well compared to Claude Opus. I've been mostly using it for Godot/GDScript code reviews, rubber duckying, asking it for better ideas for naming stuff (one of the hardest problems in programing) I still can't trust it for generating code for entire files/classes/projects, because it's still icky, creating unnecessary variables and functions, using multiple `if`s instead of `and`…
For me in Game dev, codex has a habit of checking every argument for null and then silently early exiting the methods when true. I have explicit instructions for it not to do this - but it still does. I haven't done any c# outside game dev but I have no idea why people would want their programs to silently fail.
Same; I explicitly added an instruction in AGENTS.md to tell it that sometimes it's better to crash if something crucial is missing at runtime, but it keeps insisting on checking for null references and other invalid values.
It's better if I don't let it generate code and just use it for reviewing my code.
Re: Previewing GPT‑5.6 Sol: a next-generation model
#616Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…
The speed sounds great，faster models make that gap much more visible..
Re: Previewing GPT‑5.6 Sol: a next-generation model
#617Some interesting stats here about the current landscape https://arena.ai/leaderboard/agent Agent Arena (Dynamic ranking of models on how well they orchestrate tools for real-world agentic tasks, based on signals like tool reliability, task completion, and steerability.) Top 10, Highest rank to lowest Claude Fable 5 (High), Claude Opus 4.8 (Thinking), GPT 5.5 (xHigh), Claude Opus 4.7 (Thinking), GPT 5.5 (High), Claude…
The only real world task benchmark I know of is Scale Labs RLI https://labs.scale.com/leaderboard/rli Its clear to me these models are useless on any real world task, a 4% pass rate on $20-30/hr Upwork tasks. This whole trend of agentic engineering is a giant money grab.
> these models are useless on any real world task
I beg to differ. They are not perfect but immensively useful today.
Re: Previewing GPT‑5.6 Sol: a next-generation model
#618Earlier quoted context omitted.
Hopefully like this (but smarter): https://chatjimmy.ai/
This is genuinely confusing to my senses. The future is going to be so strange/neat/me unemployed.
The future is totally illegible to me. I love these AI models, but I feel like I'm going to be jobless within 10 years.
Anomie is at an all time high right now.
Re: Previewing GPT‑5.6 Sol: a next-generation model
#619Earlier quoted context omitted.
At a certain rate we will be able to move towards continuous / real-time inference systems. The discrete, turn based solutions are quite confining with how they must be trained. Continuous and real-time would fundamentally alter the domain. From an information theory perspective we are still in dial-up territory with regard to the actual information rate. 750 tokens per second would be a really bad dialup connection.…
We still have the problem that auto regressive decoders are memory bound. The new Blackwell hardware combined with TensorRT-LLM and speculative decoding consistently can hit 1,000 TPS/user barrier, comparing to closer to ~250 TPS/user (out of 10k+/TPS on the server) Is there something I missed, this looks more like 14.4 to 56 on a 64kbps backing channel modem story. I have no doubt that there are still massive gains…
1000TPS - what model size?
Re: Previewing GPT‑5.6 Sol: a next-generation model
#620Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…
I still use GPT-5.3-codex-spark which also runs on the Cerebras chips. Spark can run at >1000 tok/s but it's highly limited in it's context window size so it's not suitable many workflows. Granted this will be a bit slower (relatively speaking) but it will still be awesome.
Same - I had some "AI-assisted coding interviews" where I had to bring my own AI tools, and found the speed of codex-spark to be important for making progress quickly (and not sitting there waiting on Opus to think for 10 minutes).