dbreunig

7 ms·

61.
How will product management keep up with AI-accelerated coding?(dbreunig.com)
3 points by dbreunig 1y ago|0 comments
62.
by dbreunig 1y ago
I’m wondering that too. I think better routers will allow for more efficiency (a good thing!) at the cost of giving up control. I think OpenAI attempted to mitigate this shift with the modes and tones they introduced, but there’s always goi
63.
by dbreunig 1y ago
I’m aware of LoRA, Civitai, etc. I don’t think they are “widely known” beyond AI imagery enthusiasts. Krea wrote a great post, trained the opinions in during post-training (not during LoRA), and I’ve been noticing larger labs doing similar
64.
by dbreunig 1y ago
Came here to say this: people present MCP’s verbosity as all the context the LLM needs. But almost always, this isn’t the case. I wrote recently, “ Connecting your model to random MCPs and then giving it a task is like giving someone a dril
65.
GPT-OSS 20B delivers GPT-4.1 scores at 5x the speed(dbreunig.com)
2 points by dbreunig 1y ago|0 comments
66.
FLUX.1-Krea and the Rise of Opinionated Models(dbreunig.com)
88 points by dbreunig 1y ago|34 comments
67.
by dbreunig 1y ago
I really like Relay.app for non-coders. People can get wrapped around the wheel with n8n and co.
68.
Does the Bitter Lesson Have Limits?(dbreunig.com)
180 points by dbreunig 1y ago|86 comments
69.
Moonshot Used RL for Qualitative Tasks to Write Better(dbreunig.com)
2 points by dbreunig 1y ago|0 comments
70.
Kimi 2 Became One of the Best Tool-Using Models(dbreunig.com)
2 points by dbreunig 1y ago|0 comments
71.
by dbreunig 1y ago
A similar, fun case is where researchers inserted facts about the user (gender, age, sports fandom) and found alignment rules were inconsistently applied: https://www.dbreunig.com/2025/05/21/chatgpt-heard-abou
72.
by dbreunig 1y ago
Wrote about this about a month ago. I think it’s fascinating how they developed these prompts: https://www.dbreunig.com/2025/07/05/cat-facts-cause-context-...
73.
Rewriting Training Data Improved Kimi 2's Performance(dbreunig.com)
1 points by dbreunig 1y ago|0 comments
74.
Task Delegation by Experts Is the AI Metric That Matters(dbreunig.com)
4 points by dbreunig 1y ago|1 comments
75.
Ask HN: How are startups dealing with key talent poaching?
4 points by dbreunig 1y ago|2 comments
76.
by dbreunig 1y ago
I studied linguistic anthropology, in addition to CS. Been at it since 2002. And I wrote the first post before the meme.
77.
by dbreunig 1y ago
Sometimes buzzwords turn out to be mirages that disappear in a few weeks, but often they stick around. I find they takeoff when someone crystallizes something many people are thinking about internally, and don’t realize everyone else is hav
78.
by dbreunig 1y ago
While researching the above posts Simon linked, I was struck by how many of these techniques came from the pre-ChatGPT era. NLP researchers have been dealing with this for awhile.
79.
Techniques for avoiding common long context fails(dbreunig.com)
2 points by dbreunig 1y ago|0 comments
80.
The Ways Long Contexts Fail(dbreunig.com)
2 points by dbreunig 1y ago|0 comments
81.
An Agentic Case Study: The Messy Work of Building a Gemini Agent to Play Pokémon(dbreunig.com)
3 points by dbreunig 1y ago|0 comments
82.
by dbreunig 1y ago
Yes, look up Winshuttle. A very successful company with some of the happiest customers I’ve ever seen, whose entire product was a SAP hack that allowed people to enter their data using Excel. As someone unfamiliar with SAP, absolutely blew
83.
by dbreunig 1y ago
Not dictation…copy/paste I think. Thanks, fixed.
84.
The drawbridges come up: the dream of a interconnected context ecosystem is over(dbreunig.com)
111 points by dbreunig 1y ago|83 comments
85.
Let the Model Write the Prompt: Using DSPy to Decouple Your Task from the LLM(dbreunig.com)
4 points by dbreunig 1y ago|0 comments
86.
by dbreunig 1y ago
Thanks! That's a typo!
87.
Comparing Claude System Prompts Reveal Anthropic's Priorities(dbreunig.com)
135 points by dbreunig 1y ago|64 comments
88.
Using 'Slop Forensics' to Determine Model Lineage(dbreunig.com)
3 points by dbreunig 1y ago|0 comments
89.
Chatbots Trigger Guardrails Differently Based on Your Age, Gender, and Fandom(dbreunig.com)
1 points by dbreunig 1y ago|1 comments
90.
by dbreunig 1y ago
Can anyone provide a reason an enterprise would choose Grok over a similar class of models?

More ›