Building more with GPT-5.1-Codex-Max
GPT-5.1: A smarter, more conversational ChatGPT
https://openai.com/index/gpt-5-1/
#HackerNews #GPT5.1 #ChatGPT #AI #Conversational #Technology #Innovation
@Roundtrip @mjd this is what I love about search engines: you put in a prompt and it gives you ✨ only clickable links ✨ as the response! and you don't need to do any prompt engineering. using Kagi, you can also exclude sites from all your results
My prompt experiments with Claude (and ChatGPT-5) have been more to get their reports to ‘show their work’ by including clickable links…
Here’s a thread on getting a research report to help fix broken links in an old blog post, and dive deeper to find original sourced Neal Armstrong quotes in a NASA debrief transcript I knew must exist, but couldn’t find. https://federate.social/@Roundtrip/115062497251838137
Reverse engineering Codex CLI to get GPT-5-Codex-Mini to draw me a pelican
https://simonwillison.net/2025/Nov/9/gpt-5-codex-mini/
#HackerNews #ReverseEngineering #CodexCLI #GPT5 #CodexMini #Pelican #AIArt
🗣️ OpenAI Announces That It's Making GPT-5 More Sycophantic After User Backlash
「 Those who had become accustomed to the "sycophantic" tone of GPT-4o, which sometimes lavished praise even on users' terrible ideas, were taken aback by GPT-5's "cold" brashness and short answers, highlighting just how emotionally attached many of them had become 」
University of Rhode Island's AI lab estimates that GPT-5 averages just over 18 Wh per query, so putting all of #ChatGPT's reported 2.5B requests a day through the model could see energy usage as high as 45GWh equivalent of two to three nuclear power reactors, enough to power a small country.
https://www.tomshardware.com/tech-industry/artificial-intelligence/chatgpt-5-power-consumption-could-be-as-much-as-eight-times-higher-than-gpt-4-research-institute-estimates-medium-sized-gpt-5-response-can-consume-up-to-40-watt-hours-of-electricity
University of Rhode Island's AI lab estimates that GPT-5 averages just over 18 Wh per query, so putting all of #ChatGPT's reported 2.5B requests a day through the model could see energy usage as high as 45GWh equivalent of two to three nuclear power reactors, enough to power a small country.
https://www.tomshardware.com/tech-industry/artificial-intelligence/chatgpt-5-power-consumption-could-be-as-much-as-eight-times-higher-than-gpt-4-research-institute-estimates-medium-sized-gpt-5-response-can-consume-up-to-40-watt-hours-of-electricity
GPT-5 reaction amongst developers has been...mixed. In fact one of the developers OpenAI featured on its launch-day promotions has done a complete 180 — he now says he was wrong about GPT-5 (Theo Browne). Questions of coding quality aside, GPT-5 raises some interesting longer term questions for devs: if AI can build things just using web standards, will that lead to less reliance on React frameworks? https://thenewstack.io/gpt-5-a-choose-your-own-adventure-for-frontend-developers/ #gpt5 #frontend
openai put a deceptive graph... on the slide about how gpt-5 deceives users less than previous generations
the jokes write themselves at this point
#gpt5
openai put a deceptive graph... on the slide about how gpt-5 deceives users less than previous generations
the jokes write themselves at this point
#gpt5
"I believe GPT-5 is part of a larger process happening in generative AI — enshittification, Cory Doctorow’s term for when platforms start out burning money offering an unlimited, unguarded experience to attract their users, then degrade and move features to higher tiers as a means of draining the blood from users.
With the launch of GPT-5, OpenAI has fully committed to enshittifying its consumer and business subscription products, arbitrarily moving free users to a cheaper model and limiting their ability to generate images, and removing the ability to choose which model you use in its $20, $35 and “enterprise” subscriptions, moving any and all choice to its “team” and $200-a-month “pro” subscriptions.
OpenAI’s justification is an exercise in faux-altruism, framing “taking away all choice” as a “real-time router that quickly decides which [model] to use.” ChatGPT Plus and Team members now mostly have access to two models — GPT-5 and GPT-5-Thinking — down from the six they had before.
This distinction is quite significant. Where users once could get hundreds of messages a day on OpenAI’s o4-mini-high and o4-mini reasoning models, GPT-5 for ChatGPT Plus subscribers offers 200 reasoning (GPT-5-thinking) messages a week, with 80 GPT-5 messages every 3 hours which allow you to ask it to “think” about its answer, shoving you over to an undisclosed reasoning model. This may seem like a good deal, OpenAI is likely putting you on the cheapest model whenever it can in the name of “the best choice.”"
https://www.wheresyoured.at/the-enshittification-of-generative-ai/
"I believe GPT-5 is part of a larger process happening in generative AI — enshittification, Cory Doctorow’s term for when platforms start out burning money offering an unlimited, unguarded experience to attract their users, then degrade and move features to higher tiers as a means of draining the blood from users.
With the launch of GPT-5, OpenAI has fully committed to enshittifying its consumer and business subscription products, arbitrarily moving free users to a cheaper model and limiting their ability to generate images, and removing the ability to choose which model you use in its $20, $35 and “enterprise” subscriptions, moving any and all choice to its “team” and $200-a-month “pro” subscriptions.
OpenAI’s justification is an exercise in faux-altruism, framing “taking away all choice” as a “real-time router that quickly decides which [model] to use.” ChatGPT Plus and Team members now mostly have access to two models — GPT-5 and GPT-5-Thinking — down from the six they had before.
This distinction is quite significant. Where users once could get hundreds of messages a day on OpenAI’s o4-mini-high and o4-mini reasoning models, GPT-5 for ChatGPT Plus subscribers offers 200 reasoning (GPT-5-thinking) messages a week, with 80 GPT-5 messages every 3 hours which allow you to ask it to “think” about its answer, shoving you over to an undisclosed reasoning model. This may seem like a good deal, OpenAI is likely putting you on the cheapest model whenever it can in the name of “the best choice.”"
https://www.wheresyoured.at/the-enshittification-of-generative-ai/
Apple conferma: ChatGPT in Apple Intelligence userà GPT-5 con iOS 26, iPadOS 26 e macOS 26. 🍏 Miglioramenti vocali, video, coding e ragionamento avanzato. Attivabile da Impostazioni. #AppleIntelligence#GPT5#iOS26
🎈 GPT-5 Users Say It Seriously Sucks
「 But many users say GPT-5 is far from the generational leap that its moniker would suggest. It's more of a mix of steps forward and steps back, prompting widespread speculation that OpenAI is trying to keep costs down. After all, running large language models is a notoriously energy-intensive — and environmentally destructive — process 」
The sound of thousands of academics scrambling to rerun their experiments now that their papers about to be submitted (not to mention their previously published ones) have become unexpectedly obsolete.
"I speculated that transformer performance would converge on not-quite-good-enough. Needs more work. See me after. Not so much 'super-intelligence' as 'super-mediocrity'."
https://codemanship.wordpress.com/2025/01/11/the-llm-in-the-room/
The time is upon as, folks. If anyone doubted that LLMs have hit a performance wall, it's undeniable today. This is as good as they're gonna get, and it ain't good enough.
"I speculated that transformer performance would converge on not-quite-good-enough. Needs more work. See me after. Not so much 'super-intelligence' as 'super-mediocrity'."
https://codemanship.wordpress.com/2025/01/11/the-llm-in-the-room/
The time is upon as, folks. If anyone doubted that LLMs have hit a performance wall, it's undeniable today. This is as good as they're gonna get, and it ain't good enough.