the worlds 2026 market gives gen.g a 31% shot. it gives t1 16.5%
t1 lifted the cup in 2023 and 2024. the market has them fourth
worlds winner on dg3 right now:
> gen.g 31c
> hanwha life 18.5c
> bilibili gaming 17.5c
> t1 16.5c
> g2 4.8c, the best-priced western team
three teams sit within 2c of each other behind gen.g. that's the market admitting it has no idea who's second
the region market is clearer: lck 68.5c, lpl 22.5c, lec 6c. korea is priced to win it more often than not
my read: t1 at 16.5c is the mispriced one. november bo5s reward the team that peaks late, and peaking late is t1's whole identity
play-in started today in los angeles. swiss stage oct 23, grand final at the barclays center nov 14. every series trades on dg3, from the first play-in game to brooklyn
Would you run a random script from a stranger on your computer?
That's what installing an unchecked AI skill is.
One study of 31,132 agent skills found:
→ 26.1% had vulnerabilities
→ 5.2% looked malicious
NVIDIA open sourced the scanner it uses before publishing skills to its own catalog.
SkillSpector checks for prompt injection, data theft, privilege escalation and poisoned MCP tools.
Gives every skill a 0 to 100 risk score.
Scan before you install.
Commands below
The contentious race for Ohio governor took an even nastier turn: A new ad against Democrat Amy Acton starred her estranged mother https://t.co/Bf1mPgnABF
holy sh*t, someone just mapped the entire REA ecosystem
8 free repos that let your AI agent take apart a closed app, turn it into source code and verify it against the original
the drop:
→ https://t.co/TPrnFjivzs (319k ★ · 80.8k forks)
the engine: connects Claude Code, Codex and other agents to .exe files, APKs, Electron apps, firmware, WebAssembly and network protocols through 130+ MCP tools
→ https://t.co/zNoIJYj6ZD (867 ★ · 188 forks)
the menu: curated tools and resources for binaries, apps, firmware, file formats and protocols, sorted by task and link-checked every week
→ https://t.co/Ls6UHRiOU0 (66 ★ · 20 forks)
the proof: DX-Ball rebuilt from a Windows binary, REA investigates each function, the agent writes C/C++ and every rebuild gets compared against the original machine code
→ https://t.co/jEwgE0bUMf (18 ★ · 2 forks)
the hard mode: Touhou 4 reconstructed from 16-bit PC-98 code across 975 commits, with levels, bosses, rendering and bullet patterns turned into maintained C++ and assembly
→ https://t.co/gikm8U0oms (3 ★ · 1 fork)
the honest benchmark: three preregistered studies with Claude Code on Windows crackmes and real binaries, including the negative results, REA didn't raise the solve rate and roughly doubled cost
→ https://t.co/TvsQyoaieS (93 cases)
the gallery: official case studies, 60+ community projects and discussions built with REA, from rebuilt apps and printers to old games and Windows binaries
→ https://t.co/1J0NVI7WDx (v0.2.0)
the workbench: a local studio on top of REA where agents analyze a project, propose a reconstruction, show the diff and run tests, and nothing gets applied until a human approves
→ https://t.co/WXjde0iu1d (12,880 projects)
the memory: an index of open-source projects born from reverse engineering, from game decompilations and devices to APIs, file formats and AI clients, with a ready-made agent skill so you never reverse engineer the same thing twice
the formula:
closed app → REA → evidence → source code → verified rebuild
EVERYONE TRIED TO GET RICH ON AI BY BUYING NVIDIA. I MADE $48,300 FROM AI WITHOUT OWNING A SINGLE AI STOCK
here's the trade nobody on my feed was talking about
every AI data center is a building that eats electricity. one big campus can pull as much power as a small city. and it has to sign for that power years before it opens
so i stopped asking "which AI company wins" and started asking "who do they all have to pay?"
i gave the question to 3 agents:
→ HAIKU 5.5 read every US utility, power producer and grid supplier filing. 10-Ks, 10-Qs, 8-Ks, earnings calls. every mention of "data center", "large load", "interconnection"
→ JEV sorted it. one question per company: is this demand signed, with a number, or just talk on a call? it can't write a single word, it only picks. talk got thrown out
→ OPUS 5.5 read only the survivors and wrote one page each: how much of next year's demand is already under contract, and what the stock price assumes. it never saw the chart first
out of 140+ companies, 6 made it through. i bought 4
7 months later:
→ 3 of them up between 31% and 64%
→ 1 down 11%. sold it. the contract got delayed
→ net: +$48,300
i didn't predict anything. the agents just read what was already signed while everyone else watched nvidia's chart
in a gold rush, don't guess who finds gold. read who's selling the shovels
the prompt i used ↓
"Build me a research desk in this folder. Read-only, no brokerage.
1. Reader (haiku): pull the latest 10-K, 10-Q, 8-K and call transcript for every US utility and power producer from SEC EDGAR. Save every mention of data centers, large loads or interconnection with the number and a source link.
2. Gate (jev): for each company ask "is this demand signed, with a contract and a number?" Keep only scores above 0.85.
3. Analyst (opus, never opens prices): one page per survivor: signed demand vs current capacity, what has to go right, the one fact that would kill the idea.
4. Code adds the stock move last. Show me the agent files first. Nothing runs until I say go."