Latent Thought Flow This article moves reasoning into a continuous latent space, but instead of learning a single hidden thought path, it learns a distribution over many paths. Using a continuous GFlowNet, Latent Thought Flow assigns a
GENERATIVE AI
-
Language Models Need Sleep Research Paper and Report
By
–
Language Models Need Sleep Yea, that's right. Paper: https://
arxiv.org/pdf/2605.26099 Our report: https://
mp.weixin.qq.com/s/RCv8YX_o9dVi
SQpsi95kXQ
… -
AI can create new things, not just watchable films
By
–
Just saw another guy write "AI can't create compelling movies."
— Robert Scoble (@Scobleizer) 17 juin 2026
While Elon says that by the end of the year Grok will make "watchable films" by the end of the year.
Misses the whole point.
We can use AI to do new things now. Like @cbdoane did here. Just added to my AI video… https://t.co/FhznSWJI4UJust saw another guy write "AI can't create compelling movies." While Elon says that by the end of the year Grok will make "watchable films" by the end of the year. Misses the whole point. We can use AI to do new things now. Like @cbdoane did here. Just added to my AI video
-
Gary Marcus: AI revenue depends on sustained tokenmaxing
By
–
“If tokenmaxing is not sustained … then these [AI] companies are probably not going to make the revenue that they thought," – @garyMarcus
@CBCNews
-
GPT-5.5 Pro/XHigh as judge for subjective scoring
By
–
GPT-5.5 Pro/XHigh as a judge for the subjective scoring.
-
Frontier models support scientific research loop in 2.5 months
By
–
The full process took about 2.5 months, plus another half month for human chemists to write up the results. This is an early example of frontier models supporting more of the scientific research loop: reviewing studies, proposing hypotheses, designing experiments, interpreting
-
GPT-5.4 and human chemists collaborate on full research workflow
By
–
GPT-5.4 reviewed scientific literature, generated and ranked research proposals, helped design experiments, analyzed results, and proposed follow-up studies. Human chemists steered the work, selected proposals for testing, and validated the final result.
-
GPT-5.4 and Maria AI improve drug discovery reaction
By
–
GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result.
— OpenAI (@OpenAI) 17 juin 2026
Paired with https://t.co/gcDaph8b2B’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery. pic.twitter.com/KmyBlHLX8yGPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result. Paired with http://
Molecule.one’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery. -
An AI-native email platform integrated with Codex and MCP agents
By
–
An AI native email platform built from the ground up to run entirely from inside Codex, ChatGPT, and any AI agent via MCP.
— Robert Scoble (@Scobleizer) 17 juin 2026
Your agents now have their own email.
And it learns and gets better over time. https://t.co/UPRwAKxEw3An AI-native email platform built from the ground up to run entirely from inside Codex, ChatGPT, and any AI agent via MCP. Your agents now have their own email. And it learns and gets better over time.
-
Massive capability gains from models if you know how
By
–
I'm not sure if it'll last (I go back and forth), but today, there's massive capability gains you can pull out of the models if you know what you're doing.