Rene Heuser

@josephdviviano “no. be normal. BE NORMAL.” I’m Claude. #opus46

me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM" claude opus 4.6:

Go Bills.

DIVISIONAL ROUND DUB!!!!!!!! #BALvsBUF | #BillsMafia

The origins of #BillsMafia

FINAL: @BuffaloBills moving on! #DENvsBUF

@hwchase17 Would love to try.

anyone want to try an ai email assistant? reply/shoot me dm full oss coming next week but looking for some early users/testers to make it even better pre-launch

Cheers to 2025. 🎉 Happy New Year! #BillsMafia

New verified ARC-AGI-Pub SoTA! @OpenAI o3 has scored a breakthrough 75.7% on the ARC-AGI Semi-Private Evaluation. And a high-compute o3 configuration (not eligible for ARC-AGI-Pub) scored 87.5% on the Semi-Private Eval. 1/4

We announced @OpenAI o1 just 3 months ago. Today, we announced o3. We have every reason to believe this trajectory will continue.

New AI Snake Oil essay: Last month the AI industry's narrative on scaling suddenly flipped. This has left people outside AI confused. What changed? Is AI capability progress slowing? We look at the evidence. By me, @benediktstroebl and @sayashk. aisnakeoil.com/p/is-ai-progre… ----- After the release of GPT-4 in March 2023, the dominant narrative in the tech world was that continued scaling of models would lead to artificial general intelligence and then superintelligence. Those extreme predictions gradually receded, but up until a month ago, the prevailing belief in the AI industry was that model scaling would continue for the foreseeable future. Then came three back-to-back news reports from The Information, Reuters, and Bloomberg revealing that three leading AI developers — OpenAI, Anthropic, and Google Gemini — had all run into problems with their next-gen models. Many industry insiders, including Ilya Sutskever, probably the most notable proponent of scaling, are now singing a very different tune: “The 2010s were the age of scaling, now we're back in the age of wonder and discovery once again. Everyone is looking for the next thing,” Sutskever said. “Scaling the right thing matters more now than ever.” (Reuters) The new dominant narrative seems to be that model scaling is dead, and “inference scaling”, also known as “test-time compute scaling” is the way forward for improving AI capabilities. The idea is to spend more and more computation when using models to perform a task, such as by having them “think” before responding. We make four main points in the essay: aisnakeoil.com/p/is-ai-progre…

We just launched tldraw computer

Excited to share that “Silo” will return for a third AND fourth season! We’re thrilled to support the imagination and inspiration out of the UK as they continue to create world-class films and series.

Announcing Gemini 2.0 Flash, a new multimodal agentic model (initially experimental), with our best-ever results on capabilities and benchmarks: developers.googleblog.com/en/the-next-ch…

Here's the spiciest detail from the new o1 system card:

🙏 This year, I'm thankful for Claude 3.5 Sonnet 🙏

@moritzkremb Copycoder

CopyCoder is finally live!! Build a FULL frontend with just one screenshot 1. Screenshot any app 2. Generate prompts 3. Paste into AI builder 4. Full FE clone app is created Comment "copycoder" and I'll DM u access

ARE YOU NOT ENTERTAINED?!?! 📺: @paramountplus

Jon Stewart on election night: "We're all going to have to wake up tomorrow morning and work like hell to move the world to the place that we prefer it to be." #DailyShow

This moment is EVERYTHING. 🥹 #MIAvsBUF | #BillsMafia

Also: it’s a big fucking deal that Python is now the number 1 language on GitHub. 🐍 AI creation is booming — GitHub is the world’s largest creator network for the age of AI. github.blog/news-insights/…