Chat history is not cognitive history. Contexty shows AI support gets better when systems capture thought traces, not just final prompts. Knowledge work breaks in the half-formed middle, and that is exactly what most tools fail to preserve.
I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true:
— As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable.
— Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.)
— A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused.
— In their blog post, Anthropic defended its decision by saying the jailbreak isn’t serious. That is not what the trusted partner and the USG believe; nor is that kind of minimizing language consistent with Anthropic’s brand as the AI safety company. It’s difficult to fathom how they could claim a jailbreak allowing operability of a cyber weapon could be defined as not “serious.”
— In the past, Anthropic has always said that safety must be top priority and taken super seriously. In this case, Anthropic prioritized the continued offering of the consumer model over safety.
— In reaction, the Admin issued the export control. The Admin did this reluctantly. It’s been very surprised that Anthropic hasn’t wanted to cooperate with a reasonable safety request (ie fixing the jailbreak issue). Anthropic’s reaction is very much at odds with their branding and ethos as a safe AI research community.
— The Admin’s hope now is that Anthropic remediates the safety issue, the export control is lifted, and Fable goes back into general release. The Admin wants all of this to happen as soon as possible. It is frankly bewildered that Anthropic hasn’t wanted to comply with safety requests that it previously said were its highest priority.
— Those trying to misdirect and tie this action to the prior DoW/Anthropic issues are wrong. The Admin values Anthropic’s technical capabilities and feels that this issue, while serious, should be easily resolved. The ball is in Anthropic’s court.
A mulher que construiu o ChatGPT saiu da OpenAI, ficou em silêncio por um ano, e o que ela acabou de lançar pode mudar pra sempre como você usa IA no dia a dia.
Mira Murati não fundou mais um chatbot. Ela foi atrás do problema que nenhum lab quis resolver: toda IA que existe hoje funciona por turnos. Você digita, espera. O modelo responde, espera. É tentar resolver uma crise por e-mail quando você poderia estar na mesma sala que a pessoa.
O que a Thinking Machines lançou hoje acaba com isso.
O modelo ouve, vê, fala, pensa e age ao mesmo tempo. Não é um pipeline costurado de componentes. É o modelo em si que foi treinado do zero pra funcionar assim.
→ Latência de 0,40s por turno. O padrão da indústria é 1 a 2 segundos.
→ Micro-turnos de 200ms intercalando input e output sem parar
→ Faz busca, usa ferramentas e gera interface enquanto conversa com você
→ Percebe quando você hesita e intervém antes de você pedir
→ Tradução simultânea em tempo real com as duas partes falando
A equipe: Mira Murati como CEO (ex-CTO da OpenAI), Soumith Chintala como CTO (criador do PyTorch), e contratações recentes da Meta em percepção multimodal.
O ponto técnico que vale gravar: eles citam o "bitter lesson" do Rich Sutton. Interatividade construída por componente externo sempre vai perder pra interatividade nativa ao modelo. Escalar o modelo o torna mais inteligente e mais colaborativo ao mesmo tempo.
822 mil visualizações em 4 horas. a16z comentando. Brasil dormindo.
Toda IA que você usa hoje vai parecer e-mail dentro de dois anos. E quem largou na frente dessa corrida não foi OpenAI, Google nem Anthropic.
Foi a empresa da mulher que eles deixaram sair.
🚨 Meta released their Ads MCP and CLI today – if you use Claude or ChatGPT you should install this asap (resources in comments).
What makes this announcement so interesting is that it gives AI tools direct, authorized access to help manage your Meta Ads account through natural language.
1. Comprehensive reporting
Pull detailed reports, surface performance trends, and quickly understand what is happening across campaigns.
2. Campaign management
Create and edit campaigns, ad sets, and ads without manually clicking through Ads Manager.
3. Catalog management
Create product catalogs, add product data, and troubleshoot feed issues faster.
4. Signal diagnostics
Access signal health and quality insights so you can prioritize the parts of your setup that need attention.
This is a huge step forward in agentic media buying. Will be testing this rest of the week!
It’s a BYOK Whisper transcription platform.
Bring your own OpenAI key, upload audio, get a transcript.
Not polished SaaS. Just a working build that solves the problem.
GitHub:
https://t.co/P5TnPoS3D3
11/11
At 10:45, my brother-in-law called me with a simple question:
“Do you know any free platform that can transcribe Romanian audio?”
I didn’t.
But that question triggered the dangerous founder reflex: What if I just vibecode it?
10 minutes later, I had an MVP using Whisper.
1/
10/ Now it works.
The original file that broke it:
115 MB
almost 3 hours
.m4a
transcribed end-to-end
350pages of transcript
Not bad for something that started from a random 10:45 phone call.
It’s 5am and I just finished fixing 22bugs for Ikuna @brnsft
🔴 Critical: 7 Fixed
🟠 High: 5 Fixed
🟡 Medium: 4 Fixed/Tracked
🔵 Low / Polish: 6 Fixed
Architecture was optimised for silicon so ARM based MacBooks crashed Ikuna - now it is fixed.
#buildinpublic