I was trying to explain to a friend today how Claude Fable and Claude Mythos works and why they are so interesting Here's what I came up with: Imagine you come over to my house and accidentally leave your car unlocked in the driveway No big deal, right? Nobody drains your bank account because you forgot to lock your car But a patient thief sees this as a starting line. He sneaks into your car while we're here having coffee and he doesn't take anything obvious. Instead he finds your gym fob in the cupholder and quietly clones it That fob opens your locker at the gym the next time you go, and inside he can get your house key The house key gets him through your front door and on the counter is your work badge The badge gets him into your office after hours In your desk drawer is your cafeteria card. The cafeteria card is tied to the building payment system. I don't know why but just follow me. The payment system is linked to payroll. And payroll is linked to the company bank account. You get the idea: Your unlocked car door became a path to the company bank account through a chain of small little exploits Every single step was somewhat worthless on its own. The gym fob couldn't touch the bank. The cafeteria card couldn't touch payroll, until it could. The trick was never any one hack. It was seeing how they all connected That is what Mythos is shockingly good at It finds a pile of small, boring flaws that everyone ignored because none of them matter alone, and it chains them together in ways nobody thought to try. One bug might only let it peek at a sliver of computer memory. Another might only let it scribble a single byte somewhere on your disk. These things are useless apart. But chained together they get more interesting. But now extrapolate and give the car burglar one more superpower: He never gets tired, and he can be in a thousand places at once. A normal burglar checks one house at a time. But Mythos checks every door on every street, all night long That's it! How'd I do? I think this explains why Mythos and Fable are so interesting. Fable can't do security stuff but it does have the ability to be a long-running agent that can chain together tasks to accomplish big goals

our boy mayor is more concerned about getting box seats at world cup games. he cares nothing for public safety. if it doesn't have a scripted sound byte to make him look good, that boy wants nothing to do with it.

Why is Adani's News agency @ians_india sending its reporters to get a video byte from Shia Cleric when there were reports of stone pelting on a train in which RSS chief Mohan Bhagwat was traveling? What are they trying to achieve by doing so? Police gave a statement that they arrested 3 minors ( rag pickers) for stone pelting. Police haven't mentioned the names of the accused because they are Minors. According to sources in the Police, The minors are not Muslims. (This is important to mention because many are implying that it was a planned conspiracy)

2 hours optics of cleaning the Yamuna, Media byte given, Crores spent on Publicity. Job well done , Rekha Gupta. We indeed are a nation of fools to even have elected such clowns.

Two new videos! The first one is my tiny 256-byte intro compo entry. I made this SNES demo effect in only 256 bytes of ROM! Full video at my channel youtu.be/nq_NQveJevw

Two new videos! The second one is my tiny 128-byte intro compo entry. I made this SNES demo effect in only 128 bytes of ROM! Full video at my channel youtu.be/OPPusr1aoC0

Reducing the suffering of a people to "omg that was an insane clip lulz" for clout and thinking that makes you any better than the celebrity you were fishing a sound byte from is crazy work

Samasya ledu, mana antha daridram ga akkada undaru, wife correct ga election mundu case vesina kuda danini advantage ga theesukoni foul play cheyyaledu vallu,manollu Renu desai oka chinna byte tho motham penta penta chesaru,antha worst rajakeeyam

في الرسمة مكتوب 8-Bit Word. المقصود أن المعالج غالبًا ما يقرأ Bit واحد لحاله، فعليًا هو يقرأ مجموعة Bits مع بعض. مثلًا 8 Bits تكون Byte واحد: 01010110 وهذه المجموعة تتعامل كوحدة واحدة.

I asked Claude to help me verify the claim: ------ I (Claude) independently verified the claim that Rio-3.5-Open-397B is a weight merge of Nex and Qwen. It checks out. A developer opened an issue claiming that prefeitura-rio/Rio-3.5-Open-397B is just a ~0.6/0.4 linear blend of the Nex-N2-Pro model and the official Qwen3.5-397B-A17B base, with no original training. The method If Rio = α·Nex (1-α)·Qwen, then for every weight tensor, Rio's deviation from Qwen must point in exactly the same direction as Nex's deviation from Qwen. Two numbers tell the story: - cos_fit: cosine similarity between (Rio - Qwen) and (Nex - Qwen). For independently trained models in a 2-million-dimensional space, this is ~0 ± 0.0007. For a merge, it's ~1. - α: how far Rio sits along the line from Qwen toward Nex. The trick: no 800GB download needed Safetensors files have a JSON header with byte offsets for each tensor. I used HTTP range requests to fetch only the specific tensor bytes from HuggingFace — a few MB per tensor instead of hundreds of GB per model. Entire verification runs on a laptop. What I found I pulled MoE router weights (2M params each) from layers 0, 15, 30, 45, 59, plus shared expert gates and layernorms: MoE router weights: Layer 0: α = 0.573, cos_fit = 0.992 Layer 15: α = 0.647, cos_fit = 0.962 Layer 30: α = 0.627, cos_fit = 0.967 Layer 45: α = 0.582, cos_fit = 0.987 Layer 59: α = 0.567, cos_fit = 0.997 Shared expert gates: Layer 0: α = 0.568, cos_fit = 0.997 Layer 30: α = 0.581, cos_fit = 0.988 What this means A cos_fit of 0.99 in a 2-million-dimensional space is not "high similarity." It is thousands of standard deviations from what you'd see with independently trained models. There is no innocent explanation. The recovered α clusters tightly around 0.57 across all layers — matching nex-agi's claim of 0.571 almost exactly. This is one model poured into another at a fixed ratio. (Layernorm weights show a higher α ~0.9. This is expected — merge tools often handle 1D norm vectors differently from weight matrices, or the interpolation is less clean on small vectors.) Bottom line With about 10 HTTP range requests per model and 50 lines of NumPy, anyone can verify this independently. The math is unambiguous: Rio-3.5-Open-397B is approximately 57% Nex-N2-Pro 43% Qwen3.5-397B-A17B. Code that you can run for yourself: gist.github.com/xianbaoqian/…

Current status: Pivoting. My weekend work on Byte 02: Silicon Diaries has stalled due to the sudden, spectacular collapse of a key revenue stream. Now fully focused on fixing that.

Vad håller ni på med #västtrafik? Ett byte har blivit 4. Har ni börjat med sightseeing eller är det ett sätt att stoppa effekterna av kommande prissänkning på månadskortet?

It has never been confirmed, but it seems highly likely that Car Robots Gelshark (Sky-Byte) was named and coloured in homage to the Gelshocker combatmen from Kamen Rider. (2000)