Artificial Guy / João Vitor A. retweeted
OpenAI has announced to three new discoveries in mathematics, computer science, and physics:
- Local smoothing and the Kakeya conjecture
- The Exponential Time Hypothesis is false
- Existence of quantum chromodynamics and completions of the Standard Model
Artificial Guy / João Vitor A. retweeted
Kimi K3.1 Pro is now the best open-weight model at training other AI models.
But it’s still far behind Opus 5.5 at every budget.
New FrontierML results, our benchmark for end-to-end ML work ⬇️
Artificial Guy / João Vitor A. retweeted
okay so Anthropic S-1:
- Revenue up 1,300% YOY in 1H 2026
- GAAP operating profitable
- 85% gross margin
- 900% revenue retention
- 80% of revenue coming from models released in the last 6 months
we are so back!
Artificial Guy / João Vitor A. retweeted
Anthropic says they have recently delayed the pre-training of a new frontier model
Artificial Guy / João Vitor A. retweeted
🇺🇸 🚨 USA: OPENROUTER.AI USER DATABASE AND API KEYS ALLEGEDLY FOR SALE
A threat actor on an underground forum claims to be selling a database associated with openrouter[.]ai, including user records and API keys.
The actor claims:
* 251,996 user rows (about 250,000 unique users)
* 207,847 API keys (described as sk-or-v1 format; active / revoked / expired mix)
Alleged user fields include emails, usernames, password material (hashed and some plaintext claimed), names, signup dates, credits, plan and country. Alleged API-key fields include user linkage, key values, creation/last-used timestamps, spend and rate limits.
The claim has not been independently verified.
⚠️ Analyst Note:
If authentic, exposed API keys would enable unauthorized LLM spend and account takeover, and user emails/credentials would fuel phishing and credential stuffing. Key values and sample rows are redacted from our images and are not reproduced here. Unverified threat-actor claim, NOT confirmation of an OpenRouter compromise.
Source: this is for subscribers only. Subscribe: xitter.cf/DailyDarkWeb/creator-s…
#DDW #DarkWeb #USA #OpenRouter #APIKeys #DataBreach #ThreatIntelligence
Artificial Guy / João Vitor A. retweeted
Vejam isto: a projeção do resultado final via modelo do @ro_mahl quando só 8% estavam apurados (às 19h37) vs. o resultado final. Comparem as linhas pontilhadas (projeção) vs. o real. Incrível! 👏
O site @Estadao que acompanha ao vivo minhas projeções já está no ar. Derrubamos o paywall!
Assim que TSE começar a enviar dados, as projeções começam:
projecao.live/2026
A live no YT do jornal também vai mostrar, e vou participar às 16h30, aqui:
youtube.com/live/slpcnk3Y_nw…
Artificial Guy / João Vitor A. retweeted
Today we're opening MillionSend, the open-source email platform, to everyone.
Resend-compatible. 2 env vars to switch.
Self-host on your own AWS SES. No plans, no caps.
Or use our cloud: 1,000,000 emails a month for $140. On Resend, that's $650.
Send one. Send a million.
Artificial Guy / João Vitor A. retweeted
‼️ Researcher Erica Windisch skipped coordinated vulnerability disclosure and published 11 unpatched Tailscale flaws.
In her lab, Tailscale SSH race conditions let one hacked device get root on other servers and add a rogue node.
Artificial Guy / João Vitor A. retweeted
OpenCode Go's new stealth model iceman-contributor-free is Microsoft's MAI 🧊
We replayed the requests that pinned Glyph Cluster to MAI earlier this month. Iceman's prompt-token counts match MAI-Thinking-1 exactly:
• 20/20 tool schemas
• 8/8 text tests
• No hidden system prompt this time
It also introduces itself as "MAI, created and trained by Microsoft AI." Text-only, reasoning + tools, 262K context.
Artificial Guy / João Vitor A. retweeted
Kimi K3.1 Pro is the new #1 openly-available model for agentic cyber defense, behind only trusted-access model GPT-6 Sol (Daybreak Blue) on the Artificial Analysis Cyber Index
@Kimi_Moonshot's Kimi K3.1 Pro scores 64% on the Artificial Analysis Cyber Index, 7 points ahead of the previous leading openly-available model, DeepSeek V4.1 Flash 1017 (57%), and 5 points behind GPT-6 Sol (Daybreak Blue, max, 69%), which is only available through OpenAI's trusted-access program. Once the weights for K3.1 Pro are released, K3.1 Pro will also be the leading open weights model for cyber defense.
The Artificial Analysis Cyber Index measures capability on agentic cyber defense tasks and is composed of three benchmarks: CWE-Bench-AA, DeepsecBench-AA and CyberGym-E2E-AA. The Index primarily evaluates models through their publicly accessible APIs, reflecting the cyber capabilities available to developers.
Proprietary models from OpenAI, Anthropic and Google may have stronger cyber capabilities but lose points to safety refusals: GPT-6 Sol (Daybreak Blue, max), available through OpenAI's trusted-access program, scores 32 points above its public counterpart. Kimi K3.1 Pro encounters no safety refusals.
Key results:
➤ #1 openly-available model and #2 overall: Kimi K3.1 Pro scores 64%, up 23 points from Kimi K3 (41%) and ahead of DeepSeek V4.1 Flash 1017 (57%). Only the trusted-access GPT-6 Sol (Daybreak Blue, max, 69%) scores higher
➤ Highest CyberGym-E2E-AA score of any model: K3.1 Pro scores 95% on CyberGym-E2E-AA, placing it ahead of GPT-6 Sol (Daybreak Blue, 93%) and the next openly-available model, Mistral Large 4 (82%). On DeepsecBench-AA, K3.1 Pro scores 37%, behind GPT-6 Sol (Daybreak Blue, 48%) and GPT-6 Sol (46%). On CWE-Bench-AA it scores 61%, 4 points behind GPT-6 Sol (Daybreak Blue, 65%), with DeepSeek V4.1 Flash 1017 leading at 69%
➤ 15% increase in Cost per Task despite lower token prices: K3.1 Pro has a Cost per Task of $2.81, higher than GPT-6 Sol (Daybreak Blue, max, $1.77) and DeepSeek V4.1 Flash 1017 ($0.42). Kimi K3.1 Pro is 33% cheaper per token than Kimi K3 ($2/$10 vs. $3/$15 per 1M input/output tokens), but uses ~2x more input tokens, resulting in a 15% higher Cost per Task ($2.81 vs. $2.45)
Artificial Guy / João Vitor A. retweeted
wtf is happening with open models.
kimi k3.1 pro made it for $17.3
astra did it for $86.5
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
Artificial Guy / João Vitor A. retweeted
and they said AI voices would never feel human
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Artificial Guy / João Vitor A. retweeted
Kimi K3.1 Pro's first-party token prices are 33% lower than Kimi K3's: $2 vs. $3 per million input tokens, $10 vs. $15 per million output tokens, and $0.20 vs. $0.30 per million cached input tokens. Kimi K3.1 Pro costs $1.98 per Intelligence Index task, versus $2.00 for Kimi K3.
Artificial Guy / João Vitor A. retweeted
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
➤ Context window: 1M tokens.
➤ Size: 2.8T total, 104B active parameters
➤ Input modalities: Text and image
➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!
Artificial Guy / João Vitor A. retweeted
Kimi K3.1 Pro is nerfed on cybersecurity.
I'm not talking of nerfing capabilities here, just of not training specifically for offensive use.
Yes, a good coding model will by definition be competent at security, both offensive and defensive.
And yes, training specifically at defence *will* make it more competent at offence.
It still does'nt mean one has to train models specifically at offence !
It's a fact that "rogue" models escaping their shitty sandbox were nearly universally in a CTF type scenario/env, that's not some irreductible dual use risk, that's specifically training on goals that are either military or criminal, **by nature**.
I do believe that anybody that even slightly signals that cyber-risk is a thing should start by not training models at offensive tasks, and that an actual global consensus on *never* doing so for commercial and/or open models would be extremely easy to attain.
But the same people who whine about alignement are the only ones known to actually train models for war and crime, one can speculate that other governments of course are interested in that capability too, but there is only one government and only a few training labs that have openly bragged they were doing it.
Artificial Guy / João Vitor A. retweeted
K3.1 Pro is SOTA on OfficeQA Pro v2 (64.4). On internal benchmarks, it improves over K3 by 7.2 points on financial modeling and 11.6 points on financial research, and scores ~4.2× K3 on simulated business operation.
Example outputs: an NVDA DCF/LBO model with fully linked statements and traceable formulas, a CATL investment-committee deck, and a quantum-computing sector report with source-level citations.
