ψ;) Theory of Forms The Hero with a Thousand Faces
AI forest
Joined January 2022
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M🍄Tree retweeted
Neuralink’s first product is called Telepathy.
It enables high-speed communication with computers or humans simply by thinking. Output bandwidth will vastly exceed the fastest human speech or typing in a few years. Read that sentence again.
M🍄Tree retweeted
Impressive
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
M🍄Tree retweeted
More than 350 years after his death, Galileo's middle finger is displayed at the Museo Galileo in Florence, Italy. It was removed from his body by admirers in the 18th century as a relic of the scientist.
M🍄Tree retweeted
把Jev放到游戏里做状态判断怎么样？ 比如说星际争霸、魔兽争霸、红色警戒等等 是时候给游戏来点人味了。
说干就干，在昨天我发布了《王二火大》（一个网页版重制红警）的API后，我自己基于这套API，对接上JEV，用codex做了一个实时监控看板，来可视化JEV的各项决策。
可以看到，JEV的决策速度非常快，右边一闪一闪的数据变化，没有做任何加速，这就是普通的JEV决策速度。一项项战场指标，都作为了上下文。一个个单位、坐标点，都作为了决策点。当决策树建立好之后，智能随之而来。
可以看到AI很努力的在理解游戏、保卫基地（JEV是蓝色），虽然最后还是被绿色的内置AI打败，但是毕竟是随手写的逻辑，有这样的表现我认为已经非常优秀！
当基地被摧毁时，它决策要造基地车。当空军来袭时，它决策要造守卫大兵。当战到最后一个工厂时，它知道只能造灰熊坦克。
光对接JEV还不够，要做到一个好的游戏AI效果，需要人们花比较大的功夫，在 游戏API、JEV中间，构造【游戏上下文】，这是否已经是一个最基本的JEV harness了呢？
游戏API文档在这里：github.com/ra2web/ra2web.git…
打开《王二火大》即刻开玩：staging.wangerhuoda.com
M🍄Tree retweeted
The fly figured out ways to solve and compress chess that are far beyond what we could possibly comprehend.
I had to stop training it because it was destroying Opus 5.
Demo and model available on @huggingface
M🍄Tree retweeted
A fly's brain just beat-matched two tracks better than most humans on Twitch.
Not a metaphor.
This is a spiking neural network, modeled on an actual insect connectome, wired directly into a DJ rig.
No human hands on the faders.
The "Spike Raster" panel is the real signal, 1,640 neural spikes firing in a 20ms window, translating straight into deck moves: cueing, EQ sweeps, backspins, fader pulls from 0% to 100%.
Both tracks locked at 140 BPM. Transitions timed. Low end cut exactly when it should be.
Here's the part that should bother you.
DJing was supposed to be safe. Feel, timing, crowd-reading, that "human touch" nobody could code.
Turns out you don't even need a full brain to fake it. A few thousand spikes from an insect-sized network is enough to execute the skill end to end.
The jobs getting automated first aren't the boring ones.
They're the ones we assumed required a human somewhere in the loop.
What skill are you still calling "safe" because it feels human?
