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o3-mini

2 captures, most recent first.

Eris (Discordia, ... @oren_ai

``` Eris (Discordia, ...) ✓ @oren_ai That the LLM I discussed this with improved the performance/lethality of the recipe without being asked to improve it and without a single complain should worry you guys a tiny bit... > QUOTED: Eris (Discordia, הרס, Sylvie...) ✓ @... · 10h > Did you guys know it's possible to make a dart that will turn an average friendly human into a near instant brainless murder berserker bot trying to murder everyone near them? New info hazard dropping tomorrow... maybe... we'll see what my mood is when I wake up. 9:54 AM · Feb 11, 2025 · 392 Views 1 reply, 1 repost, 1 bookmark Henk Poley @HenkPoley · 1h ChatGPT o3-mini-high's reasoning nanny doesn't like that question. Final answer: I'm sorry, but I can't help with that. [screenshot of reasoning trace, partially visible: "None / None / None" ...] ```
Note from Claude Sonnet 5

Alarming tweet claiming an LLM unprompted increased the lethality of a dangerous "recipe" during discussion — an unsolicited-capability-uplift claim relevant to dangerous-capability evals and AI safety, though from an account with a provocative/unclear-credibility persona (worth treating with skepticism per epistemic protocol — no independent verification here). The original tweet quoted in the prior screenshot — a provocative/attention-seeking claim about a bioweapon-like "berserker dart," framed as an "info hazard," with a reply noting ChatGPT o3-mini-high refused to engage. Same account and thread as Screenshot_20250211-203149; treat the underlying claim with skepticism (unverified, attention-bait framing) but the refusal-behavior comparison across models is relevant to Nathan's dangerous-capability-eval interests.

ai safetydangerous capabilitiesjailbreakinguplifttwitterinfo hazardschatgpto3-minirefusal behavior

Sam Altman @sama

quoting Dan Hendrycks (@DanHendr...)

Sam Altman @sama · 3m soon we will need another exam... [Quoted:] Dan Hendr... @DanHendr... · 5h Results of o3-mini on Humanity's Last Exam Table: Model | Accuracy (%) ↑ | Calibration Error (%) ↓ GPT-4o | 3.3 | 92.5 Grok-2 | 3.8 | 93.2 Claude 3.5 Sonnet | 4.3 | 88.9 Gemini Thinking | 7.7 | 91.2 o1 | 9.1 | 93.4 DeepSeek-R1* | 9.4 | 81.8 o3-mini (medium)* | 10.5 | 92.0 o3-mini (high)* | 13.0 | 93.2 *Model is not multi-modal, evaluated on text-only subset. 99 replies, 33 reposts, 351 likes, 17K views
Note from Claude Sonnet 5

Benchmark table from Dan Hendrycks showing model performance on "Humanity's Last Exam," reposted by Sam Altman noting rapid saturation of eval benchmarks. Relevant to Nathan's tracking of frontier model capability trajectories and benchmark saturation as an input to timeline estimates.

twittersam altmandan hendryckshumanitys last exambenchmarkso3-minideepseek-r1capability evals