One person reading for you.
GenAI BR is a house of intelligence about AI: it reads the research and market frontier and hands back, in Portuguese and with sources, what changes a decision.
Manifesto
There has never been so much published about artificial intelligence, and it has never been so hard to know what matters. Every day brings dozens of papers, models, tools and laws. Most of it is noise. A small part changes what someone will build, buy or regulate in the coming months — and that part rarely comes with a warning.
GenAI BR exists to find that part. We do not train models, sell courses or run events. We read. A couple of hundred things a week, with a fixed method and a fixed question: does this change a builder's decision? Five survive. They go out every Tuesday, 7am, in Portuguese, each with the original source one click away.
We write in Portuguese by choice, not limitation. The public conversation about AI in Brazil is mostly made of hurried translation and unsourced opinion. A country that will regulate, buy and build AI needs its own reading of the frontier — and a place where the result comes before the opinion.
The house is small on purpose. One person reads, chooses and writes. One edition a week, the same format for years. It is what one person sustains without cheating, and it is what builds the reader's habit and the citer's trust. When the house grows, it will be to read deeper, not to publish more.
Everything we publish stays: each item becomes a permanent, dated entry in an archive by theme. Errors are corrected in plain sight. Conflicts are declared. The use of AI in the process is described on this page, and would change here before changing anywhere else.
What the house makes
- Cinco
The weekly edition. Five entries with the same anatomy, every Tuesday at 7am. It is the product; everything else is born from it.
- Archive
The memory. Each entry becomes a permanent page across eight themes and three levels, with a glossary and reading trails. Nothing disappears.
- Intelligence
The market arm. Bespoke briefings today; a semi-annual Radar and an annual State of AI Brasil from 2027. It is how the house talks to companies.
How we choose
Two hundred become five
The funnel of a typical week. The numbers are averages of the first weeks and will be updated with each edition.
- ~200skimmed
Titles, abstracts and metadata of everything that came out: arXiv, repositories, announcements, official gazette. AI-assisted triage flags what deserves reading.
- ~40actually read
Full paper, open code, whole document. Here the AI leaves the room.
- 12verified
Every number checked against the source. Self-reported marked. What was not demonstrated goes to the right section.
- 5published
The ones that change a builder's decision. They enter the Archive dated — and stay.
- 1Primary source or nothing
Every item leads to the paper, the code, the official document or the original announcement. Press coverage enters as complementary reading, never as the source.
- 2Result before opinion
Each entry separates what was demonstrated from what was not. Self-reported numbers are marked as such.
- 3Relevance for builders
What changes an engineering, product or purchasing decision in the coming months gets in. What is only noise stays out, even if it is news.
- 4Brazil when there is a document
Regulation, public money and the labor market enter when there is an official text, a number or a deadline — not when there is only a promise.
- 5Conflicts declared
When an item touches something the house has a relationship with, it is written in the entry.
Anatomy of an entry
Every entry answers the same questions
On the left, a real entry from edition no. 1. On the right, what each part promises. Repetition is what makes one week comparable to another.
Hy4-preview is a 770-billion-parameter mixture-of-experts with 49 billion active per token, 78 layers, 256 routed experts plus one shared, sparse attention and a 1-million-token window. Tencent published weights, GGUF quantizations and an API, and calls it an “early version” with headroom left in both pre- and post-training.
Self-reported on the model card: 65.7% on SWE-bench Pro (Kimi K3: 63.3%), 82.9% on SWE-bench Multilingual, 85.4% on Terminal-Bench 2.1, 92.3% on GPQA Diamond. In blind human evaluation against GLM-5.3: 46.8% wins, 12.8% ties, 40.4% losses.
All numbers were measured by Tencent itself; there is no independent replication and no technical report. Training data and hardware were not disclosed. The company admits the model “over-verifies” and reasons longer than needed. Full-precision inference needs about 1.5 TB of VRAM — “open” in practice for labs and clouds.
It is the largest Apache-2.0 open-weight release of the period, and it confirms the pattern: Chinese labs shipping frontier-adjacent agentic coders at a fraction of proprietary cost.
announcementTencent Hunyuan · Tencent · 28 Aug 2026 · huggingface.co
A truly permissive license, specific numbers and a rare admission of limitations in the model card itself.
One sentence a technical person understands without opening the source.
Only what has a number, a table or a reproduction. With the condition under which it holds.
The gaps: no independent reproduction, no code, no price, no deadline.
The decision that changes — engineering, product, purchasing or policy.
technical, decision-maker, beginner · introductory, technical, advanced.
Type, authors, organization, date and the original link. Press goes under 'read also'.
One honest line on the criterion that let this item in and not another.
AI policy
We use AI where it is good and say exactly where. If this changes, this page changes first.
- Triage
- Filter hundreds of items a week, extract metadata (authors, date, source type, code availability) and flag what deserves reading.
- Deduplication
- Group the same result published in three different places.
- Translation
- The English version of this site is AI-translated from Portuguese and reviewed by a person. Portuguese is the original.
- Code
- This site was designed and built with an AI assistant, under human direction and review, decision by decision. It is described in 'How this site was made'.
- Choose the five
- Selection is human. AI suggests reading; it does not decide what matters.
- Write the final text
- No published summary is machine-generated. What you read in an entry was written by the person who read the source.
- Verify numbers
- Every number is checked by a person against the primary source. AI gets numbers wrong with confidence; that is why it does not do this part.
- Sign
- Every edition carries a signature. It is a person, with a name, answering for what is written.
Corrections
Errors are corrected in the entry, with the date and the previous text visible, and listed here. An error that changes an entry's conclusion gets a note in the following edition.
No corrections recorded so far. The first will appear here, dated — and it will probably exist.
Numbers
Counted from the published content, not typed by hand. They change with every edition.
- 22
- 1
- 8
- 25
- 3
- 8
- 14
- 0
- 1
Who makes it
Founder. Reads, chooses, writes — and codes the site.
GenAI BR is, today, one person in São Paulo. That is written everywhere because it is the most important fact about the house: you know exactly who read, who chose and who answers.
Besides Cinco, João builds Ofício, the house's agents product — where what the Archive documents about agents and evaluation becomes real operation. Each feeds the other: reading teaches what to build; building teaches what to read.
- Av. Paulista, 1106 · 16th floor · São Paulo
- GENAIBR LTDA · CNPJ 57.843.277/0001-01
- October 2024
- September 2026
Timeline
What already happened and what has a date. If a date moves, it moves here first.
- Sep 2026Cinco no. 1. The site, the Archive with 22 entries, the glossary, three trails.
- Sep 2026Bespoke briefings available on request.
- Oct 2026Editions as LinkedIn documents.
- Dec 2026Retrospective of the first 65 entries.
- H1 2027Sala, phase 2: save, follow, trails with progress. Ofício pilots.
- Mar 2027GenAI BR Radar no. 1.
- Jun–Sep 2027State of AI Brasil: open questionnaire in June, field in August, report in September.
- 2027Decision on the Inference Cost Index and the Map of AI in Brazil.
How this site was made
No choice by default. Every color, typeface and movement has a reason tied to what the house is. This section is the decision log — and proof that it can be done differently. The full system lives in the Branding Book.
- Cold paper
Slightly bluish white, like report paper. Not cream or beige: the warm tone became the default of the last generation of AI sites.
- Ink
Bluish black, like printing ink on cold paper. Never #000.
- Ink 2
For long body text and captions. Less contrast, more hours of reading.
- Mute
Metadata, dates, column numbers. The page's low voice — and still passes AA contrast.
- Rally blue
The only signature. A deep cobalt, of tiles and of rally cars — trust and data, far from the orange and purple AI uses. It appears rarely, which is why it counts.
A grotesque drawn for a Nordic newspaper group, digital-first: narrow, sharp, made for headlines and numbers. Heavy in titles, medium in labels, tabular figures in tables.
A reading serif with an optical size axis: the shapes change from 8 to 60 px. Always regular weight, slightly negative tracking, italic for kickers. Never a bold serif.
Two-ink covers
Every project and trail has a cover generated by a shader — two misregistered inks with halftone grain, like a riso print. One family only: rally blue and ink, on cold paper. Nothing is an image: it is (seed, hue) becoming texture live. Hover.
The honeycomb
The background is a single hexagonal mesh of particles — the honeycomb of a network — that reorganizes with the page: mesh on the cover, the word 'Cinco', the map of Brazil, a synapse. It lives on the right, away from the text, nearly invisible. The pointer paints: whatever it touches turns rally blue and stays, for a while.
- Rules, not cards
- Columns separated by 1px and 2px lines, like a printed page. 3px corners. No glass, no shadow, no gradient.
- Italic kicker, not mono label
- A section announces itself as in a newspaper, not a system dashboard.
- Texture, not glow
- Paper grain over everything, in multiply. Nothing glows; everything prints.
- Motion with restraint
- Line reveals and a light magnetism only on the main button. Hover is an underline that thickens or text turning blue — never scale. prefers-reduced-motion respected.
- Specific copy
- Dates in full, São Paulo time, the names of who makes it, non-round numbers. No 'unlock the power of'.
- One signature only
- Rally blue is the only color. It appears in active links, the mark's node, the pointer's ink, the edition number. Never as a whole section background.
- No trackers
- No third-party scripts. The only form asks for an e-mail and says where it goes.
Questions
- Is GenAI BR a company?
- It is a market-intelligence house about AI, today with one person. It earns from company briefings and, from 2027, from the Radar and State of AI Brasil. Reading Cinco is and will remain free.
- How do I cite an entry?
- 'GenAI BR, Cinco no. N, [entry title], [date]' with the entry link. The entry never changes address.
- Can I republish?
- Quotation with a link, always. Full republication — internal newsletter, intranet, class — write in; the answer is usually yes.
- Do you take pitches, sponsorship or paid content?
- Pitches with a primary source, yes, and welcome. Sponsorship of artifacts (Radar, State of AI) without editorial influence, yes, name on the cover. Paid content disguised as an entry, never.
- Why no comments?
- Because good conversation about technical AI happens with context — on LinkedIn, by e-mail, in a briefing. An open comment box produces the opposite.
- Will you grow?
- To read deeper, yes. To publish more, no. Five a week is the promise.
Contact
Item suggestion with a source, correction, briefing request or partnership: ola@genaibr.ai. I reply in about two working days. To follow without e-mail, the RSS is in the footer.
Get the next Cinco
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