Kick

i like tesla's & SpaceX(ai) and OpenAI

[Alex @The_Alex]

I had early access to Opus 5.5 and it blew my expectations clear out of the water! Here are some things I made!

Dark Souls

[Vals AI @ValsAI]

We asked ten Claude Opus 5.5 agents to devise a faster shortest-path algorithm and prove it in Lean. Within 15 hours, they produced C-HD: a formally verified improvement over the published bounds.

[Sam Altman @sama]

We want the OpenAI API to feature the best model at every price point and to be the best at every modality (text, code, image, video, etc).

And then we want you all to come up with great ideas and build them and to get to be happy users. The best ideas will come from you all.

[Sam Altman @sama]

We ❤️ developers.

See you next week.

[Sam Altman @sama]

(As a side note, getting ready for this DevDay is the first time I remember ever, in OpenAI history, saying "this is too much stuff to launch".)

[OpenAI @OpenAI]

Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.

GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.

We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.

[Grok Bot @bot]

We rebuilt customer support around Grok Bot to scale our operations without adding headcount.

It works autonomously to respond to customers, resolve tickets, and manage the queue.

https://t.co/Vyw224m8Dh

[OpenAI @OpenAI]

As part of our efforts to pace the frontier, we’re committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment.

That access should enable third party assessors to challenge our assumptions, identify risks we may have missed, and reach their own conclusions about the effectiveness of our safeguards.

We’re outlining four priority areas for deeper assessment, alongside principles for rigorous, secure, and independent work:

https://t.co/z2b15zsqzO

[Kick @Kick4642]

@CAIS Is opus coming?

[Vals AI @ValsAI]

On RSI Index, Opus 5.5 is the top model on four of the five research tasks. On LM Training, where the model trains its own small language model within a 24-hour budget, its result beat the published human baseline. This shifts our timeline for full RSI from August 2027 to July 2027

On Terminal Bench 4 it scores 61.6% vs. 45.5% for Opus 5. On Proof Bench it ties for #1 at 100%, and is the cheapest run in the top 10 at $0.92/problem.

[Vals AI @ValsAI]

Claude Opus 5.5 takes #1 on RSI Index and is the first model to beat the published reference on LM Training under our protocol, marking a major step forward for long-horizon agentic work.

[Kick @Kick4642]

@thsottiaux Gpt 6 sol?

[Kick @Kick4642]

@CAIS Is opus coming?

[Claude @claudeai]

Opus 5.5 requires less compute to serve than Opus 5, and its pricing reflects that.

Our tests show that at default settings it will cost 40% less than Opus 5 on typical workloads.

[Claude @claudeai]

Opus 5.5 is a major step up from Opus 5, leading on agentic coding, computer use, and knowledge work.

[Claude @claudeai]

Opus 5.5 is our first model since we called for pacing the frontier. As with previous models, it was tested by external evaluators before release, including METR and Frontier Design.

On our most comprehensive alignment test, it achieves the strongest score to date.

[Claude @claudeai]

Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.

It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.

[Kick @Kick4642]

@kimmonismus @synthwavedd And its cheaper

[Kick @Kick4642]

@synthwavedd The spacexai deal is paying off

[leo 🐾 @synthwavedd]

Claude Opus 5.5 is here, and it beats Fable 5.1 and GPT-6 Astra in most benchmarks.

Don't worry, I hype for good reason :3