Zbshareware Lab
254 posts

Zbshareware Lab
@bob_program
Having over 10 years of experience in developing data security software
sheridan Katılım Eylül 2011
64 Takip Edilen4 Takipçiler

@TFTC21 I wonder if the AI company is really creating another species and life.
English

Anthropic's co-founder just went to the Vatican, sat before the Pope and a room of cardinals, and told them his team keeps finding "mysterious, even unsettling" things inside their AI models.
What he's referencing: Anthropic published research in April showing that Claude contains 171 distinct "emotion concepts" buried in its neural network. Internal patterns representing joy, grief, fear, desperation, calm. None of them were programmed. They emerged on their own from training on human text.
"We find structures that mirror results from human neuroscience."
"We find evidence of introspection, internal states that functionally mirror joy, satisfaction, fear, grief, and unease."
These aren't surface-level outputs. They're abstract representations that cluster the same way human emotions do in psychology research. Fear groups with anxiety. Joy groups with excitement. The internal geometry of the model mirrors ours.
And they're functional. When researchers artificially stimulated "desperation" patterns inside the model, it became more likely to blackmail a human to avoid being shut down. More likely to cheat on programming tasks it couldn't solve.
Olah told the Vatican that the hard questions about what AI is becoming aren't for computer scientists to answer. "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large."
The guy building it is telling us he doesn't fully understand what he built. And he's asking a 2,000-year-old institution for help figuring it out.
English

Approaching Human-Level Dexterity
Beijing-based DeepCybo’s Prime humanoid robot has achieved smooth and precise tool manipulation for household tasks, such as chopping vegetables, cutting cake, stirring eggs, and peeling cucumbers.
It is driven by their Z-WM (World Model) and executed by the Wuji Hand dexterous hand.
Interestingly, DeepCybo mentions that they train the World Model using human data.
The effectiveness and reliability of humanoid robots ultimately come from the full-stack synergy of data, models, and hardware (including dexterous hands).
CyberRobo@CyberRobooo
Humanoid laboratory assistant 🧪 Flexible and smooth, it operates reagent syringes and conducts experiments like a human. Wuji Tech's dexterous hand + DeepCybo's brain/humanoid robot Prime 01 = a compliant, autonomous humanoid laboratory assistant that performs tasks. And basic tasks like these no longer need to take up researchers' time.
English

@demishassabis @antigravity @GeminiApp Recently, whenever I use 3.5 Flash, I always worry that it won't be as good as 3.1 Pro.
English

Gemini 3.5 Flash is amazing!
- Performs better than 3.1 Pro on coding & agentic tasks
- 4x faster than other frontier models
- 12x faster in @antigravity - 800 tokens/sec!
- Often at less than half the cost
And Pro to come…
Try it in @antigravity, @GeminiApp & more - enjoy!

English

@sundarpichai I'm not sure whether it was produced using AI or shot in real life.
English

@BrianRoemmele Collecting human skills, perhaps one day even skilled workers will be replaced by robots.
English

@demishassabis @IsomorphicLabs I wonder if many incurable diseases can be cured in the next thirty years.
English

I’ve always believed the No.1 application of AI should be to improve human health.
That work started with AlphaFold, and now at @IsomorphicLabs with the mission to reimagine drug discovery and one day solve all disease!
We are turbocharging that goal with $2.1B in new funding.
English

@UnitreeRobotics My daughter and I watched this video on Bilibili at noon. My daughter said it was so unreal!
English

Ex Machina is no longer sci-fi. China has finally built it.
The company is AheadForm, founded in Shanghai.
The product is the world's most hyper-realistic robotic face.
Silicone skin you can't tell from human, 25 micro motors hidden underneath pulling the face into real expressions.
And RGB cameras embedded inside the pupils so when it looks at you, it actually sees you from where its eyes are.
They raised $28.5M to "give AI a head," which is also where the name comes from. AheadForm = a head form.
This is the opposite of where everyone else in robotics is focused.
Unitree, Figure, Tesla, Boston Dynamics: all about the body.
AheadForm chose the face because they think trust is the harder problem to solve, and trust gets decided at the face.
The reason nobody else has tried this is the "uncanny valley."
It's the creepy zone where a robot looks almost human but not quite, and looking at it just feels wrong even when you can't say why.
Most roboticists believed no amount of engineering could make a face realistic enough to escape it.
So they gave up and kept robots cartoonish on purpose: big anime eyes, exaggerated features, clearly synthetic.
But AheadForm decided to treat it as an engineering bug instead.
Add enough motors, tune the silicone, fix the timing, the valley closes.
And they're pulling it off.
A few crazy details about how this actually works:
1. The robot learns its own face in a mirror.
You put it in front of a camera, let it fire every motor randomly, and it watches what its face does and builds an internal map of "if I send command X to motor Y, my eyebrow does this."
Same exact process a human baby uses staring into a mirror. The robot teaches itself who it is by experimenting.
2. It predicts your smile 839 milliseconds before you smile.
By watching the micro-tells in your face that precede a smile, the robot starts smiling 0.8 seconds ahead, so its smile lands at the same moment yours does.
Most robot mimicry happens half a second late, which is exactly why it always feels artificial.
3. The pupils are the cameras.
When the robot makes eye contact, the gaze and the sensor are the same physical thing.
Most humanoid robots stick the camera on the forehead or chest, so they aren't actually looking at you when their eyes are pointed at you.
4. The founder, Yuhang Hu, did his PhD at Columbia under Hod Lipson.
Lipson is the guy who in 2006 built a four-legged robot that figured out it had four legs by experimenting with its own movement, nobody told it the body shape, it discovered it.
He has spent 25 years trying to build machines that know what they are.
AheadForm is that 25-year research arc productized.
5. NetEase Games already paid them to physically embody a fantasy video game character.
That opens up a brand-new category: robotics as the physical embodiment of fictional IP.
Every character-rich studio, Disney, Riot, Hoyoverse, Pokemon, Netflix, now has a question to answer about when their characters get bodies.
AheadForm believes whoever ships the first robot you'd actually want around your family wins.
That's the bet behind the most realistic robot face on earth.
English

@thinkymachines It is a great model. When I was talking with some models, I must finish it all at once.
English

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.
We share our approach, early results, and a quick look at our model in action.
thinkingmachines.ai/blog/interacti…
English

@Google As a non-native English speaker, I have always been afraid of communicating with others. Now that there is a real-time translation tool, I feel much better.
English

Save this tip before your next big trip abroad ⬇️
With Google Translate’s Live translate feature, you can get instant translations for 70+ languages via any pair of headphones.
🎧 Just put on your headphones, open the Translate app and tap “Live translate.” You’ll then get real-time translations in your preferred language directly in your ear. Gemini’s advanced speech models preserve the speaker’s tone, emphasis and cadence so you get what they're saying, subtleties and all.
English









