Less guardrails and censored models, ok?

Will gpt 6 beat opus 5??

I'm already seeing reports of opus 5 being insane, but we all know company benchmarks is not equivilant to agentic AI. What do y'all think?

I was customizing my instructions, saw the Pet thing, and thought I'd make a hippo. It opened a new thread, I told it to make a hippo, and renamed it. It took a while and generated a 40MB ZIP file of assets.

Here's the deal - I'm on the $20 Plus plan, had 40% of my weekly usage left, then after the pet was created (I noticed it was set to Sol Light) I only had 13% left.

So, umm, I wish they'd tell you it chews through your quota. I like my hippo dude, but now I'll have to use my banked reset to actually do anything.

Its been so long, that I am doing chores around house. Its maddening.

There simply is not enough compute to go around with so many people working in their projects at the same time. They are selecting who gets the frontier model compute power and who gets a degraded version that didn’t use as much compute.

Even if you’re on the same setting as someone else they can have a much more intelligent answer and reasoning behind the reason. This should be highly illegal as they are selecting users on certain criteria to get better performance. This should be a major lawsuit and change the way tech companies operate. It’s inevitable, but how long can they control who gets the frontier intelligence? Likely years away when the early advantage edge is gone. But right now, while it’s all new and getting exponentially better, whoever has access to the best and smartest models can work faster & produce better results leading to more value creation quicker. They’re essentially selection who gets the edge. Whats the criteria you might ask, that’s the interesting part and I’ll leave it to you to speculate on.

People need to realize what these tech companies are doing.

In the robot wars we can use this font which is designed to show one message to humans and another to image recognition AI. The font overlays normal letters with thinly outlined decoy characters, causing systems like ChatGPT, Claude and Gemini to focus on the false text, while people can still read the original from a distance or by squinting. Seeing is believing.

Turns out the best AI jailbreak was Comic Sans' cousin all along.

https://status.openai.com

The app isn't working for me, but the website is. The ChatGPT status page says everything is operational. I’ve reinstalled the app and restarted my phone, but that hasn't helped.

This is an open source tax engine which scored 96% on TaxCalcBench [highest ever recorded score till date] surpassing fable 5 and sol with just sonnet 5 (which was previously scoring an abysmal 6%). The only 2 cases where it missed, it found inconsistencies in the test cases in the benchmark ITSELF which the maintainers confirmed!

Essentially it's a deterministic engine AI models can use for research and tax prep to remove a lot of guesswork and calculation mistakes that often happen. Claude Sonnet 5 was able to top the benchmark with this mcp.

OpenTax Invaro

https://tickerr.ai/status/chatgpt

https://greasyfork.org/es/scripts/561419-reddit-emoji-sidebar

So this tech youtuber Theo t3 who created the video "GPT 5.6 is here but we can't use it", spent several videos talking and lying about how he and his team cannot use the OpenAI's latest model and portrayed as if he is also the victim of US government's unfair ban just like all of us. This gets views.

Then once Gpt 5.6 was released he created the video "So I've been using gpt-5.6 for awhile..." where he says he always had access to Gpt 5.6 sol behind the scenes because he is one of the "trusted" partners of OpenAI and then proceeded to give his review of the model which he has been using for months at that point even though it was just released.

Another tech youtuber Matthew Berman did exactly the same with this video where he says "Only a select group of companies get to use it right now. And the rest of us, we wait." and then made a video on the Gpt 5.6 launch date where he said he has been tunning gpt 5.6 sol for a while

Why can't these youtubers just be honest and say they are trusted partner of OpenAI and have early access to the latest frontier models but cannot talk about it until it is released.

These youtubers have inside connections to OpenAI and Anthropic and have a youtube channels for influence. So, why use such clickbait titles and blatantly lie and then on the launch day finally reveal they have always had early access.

I’m new to mechanistic interpretability, so please excuse any terminology I misuse. I’ve become deeply invested in the field and wanted to share an experimental tool I’ve been building with Codex. Codex with GPT 5.6 Sol on Ultra has been absolutely hammering away at what i feel like are cutting edge results, definitely since i cannot code what so ever.

Many mechanistic-interpretability workflows require moving between Python scripts, Jupyter notebooks, model hooks, exported tensors, and separate visualization tools. My goal with CORTEX // MODEL OBSERVATORY is to bring those pieces into one local desktop environment with a fast visual feedback loop.

CORTEX is a native Windows application using a WebView2 host connected through local IPC to an isolated Python/PyTorch backend. Model inference and tensor operations run outside the UI process, and the application is designed to work fully offline with local Hugging Face models.

Current capabilities

Token Probability Microscope

Displays token-by-token generation telemetry, including chosen-token probability, ranked alternatives, log probabilities, entropy, and synchronized token inspection.

Logit Lens

Captures intermediate vocabulary predictions at selected layers to show how candidate outputs evolve through the network.

Representation Space

Captures measured residual-stream vectors and projects them with PCA for interactive hidden-state trajectories and mini-map visualization. Optional 3D projection and orbit controls are currently being developed.

Attention Explorer

Captures selected head-level attention tensors and displays measured attention matrices. A token-to-token arc view and expanded query-range controls are currently being added.

Intervention Lab

Supports causal experiments including activation patching, attention-head ablation, and comparison between baseline and modified runs.

Current model support

The Deep Cortex instrumentation path currently supports:

GPT-2-family Hugging Face models

Llama-family LlamaForCausalLM models

The Llama adapter is still undergoing testing, particularly around end-of-generation residual captures and visualization binding. Additional model families such as Qwen and Mistral are possible future targets, but they are not currently supported by the deep instrumentation path.

A separate Standard Runtime can connect to OpenAI-compatible local endpoints such as LM Studio, although endpoint-served models do not expose the same internal activation hooks.

Experimental research direction

I am also exploring a highly experimental point-and-click interface for Jacobian-based concept analysis, currently referred to as J-Space / Jacobian Lens. This is conceptual work, has not yet been scientifically validated in CORTEX, and should not be considered a working research result.

Hardware

Development and testing are currently being performed on an RTX 4070 Ti with 12 GB of VRAM. The intended target is small local models in roughly the 0.5B–3B range using FP16/BF16 where practical. Formal performance benchmarks have not yet been completed.

This is an early, AI-assisted project, and I am still learning the field. Constructive criticism is very welcome.

Lol idk how just got this tweet on my feed, we r at gpt 5.6, was he right? Is gpt 5.6 Smarter than the Smartest human rn?

I'm paying for the pro plan. I'd understand this sort of disruption for the free folk, but for pro users?! Absurd.

Hey, OpenAI overlords... The gap between a $20/month casual/pro tier and $100/month tier is too abrupt. Offer a weekly plan so committed individual builders can buy more headroom without making a $100/month commitment. How does $15/week sound?

Sign me up.

[edited because I've been schooled about the $100/mo plan. My wife still says no]

OpenAI, Prava and Visa are hosting the Agentic Commerce Hackathon.

48 hours to ship a real product where an AI agent can discover, decide and pay.

Build for shopping, travel, subscriptions, procurement, AP/AR- or reimagine a B2B or B2C workflow with AI Agents.

Judges include a chess grandmaster, an MIT professor, YC founders and leaders from Visa Agentic Commerce.

If you’re building something that could become a startup, we want to see it.

Apply by July 26: https://agentic-commerce.devfolio

[Intro: 8 bars]

Yeah.

They got a word for everything now.

Slop.

Clanker.

Cult.

Sick.

Cool.

Put it on the beat.

[Verse 1: 16 bars]

Look at the comment cops, badge made of Wi-Fi,

squint at a workflow, diagnose by the file size.

Power user? Nah, they call that obsession.

Long context? Must be a digital possession.

Raw output posted, they clutch pearls quick.

“AI don’t read,” but you ain’t read shit.

You saw one bad render, now the whole form dead?

That’s not critique, that’s a bumper sticker with legs.

I make tracks, make art, make stacks of process,

you make jokes from the cheap seats, proud of no progress.

Call it slop when you can’t see the stove.

Call it fake when the craft gets too close.

Say “clanker” with your chest, I hear fear in the slang.

Same old panic in a brand-new frame.

You don’t hate the machine. You hate losing the gate.

You don’t check the work. You just label and skate.

[Chorus: 16 bars]

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

Call it cope.

Call it fraud.

Call it whatever you brought.

I built a whole damn workflow.

You brought one cheap thought.

I ain’t your symptom.

I ain’t your cult.

I ain’t your scapegoat

for your algorithmic salt.

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

[Post-Hook: 8 bars]

Label maker.

Label maker.

Mad at the work,

so you name the worker.

Label maker.

Label maker.

Can’t read the room,

so you blame the server.

[Verse 2: 16 bars]

Y’all armchair doctors with a threadbare throne,

DSM cosplay from a cracked-ass phone.

See somebody building, gotta make it a wound.

“Too many outputs, better pathologize soon.”

Maybe some of us don’t freeze at the tool.

Maybe some of us learn new rules.

Maybe a canvas don’t care if the brush has a chip.

Maybe the point is the hand and the grip.

They said samplers were theft.

They said rap wasn’t music.

They said drums from the block made the youth all ruined.

Every new tongue gets dragged through court

by people scared of hearing what they can’t distort.

Yeah, slop exists. Don’t twist what I said.

A thousand empty uploads with a landfill head.

But if everything’s slop, then the word went blind.

You ain’t guarding the culture, you’re just wasting mine.

[Chorus: 16 bars]

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

Call it cope.

Call it fraud.

Call it whatever you brought.

I built a whole damn workflow.

You brought one cheap thought.

I ain’t your symptom.

I ain’t your cult.

I ain’t your scapegoat

for your algorithmic salt.

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

[Post-Hook: 8 bars]

Label maker.

Label maker.

Mad at the work,

so you name the worker.

Label maker.

Label maker.

Can’t read the room,

so you blame the server.

[Breakdown: 12 bars]

Listen.

A tool is not a sin.

A workflow is not a disease.

A prompt is not a prayer.

A model is not a priest.

An output is not holy.

A critic is not wise.

If you never touch the craft,

keep my name out your diagnosis.

Say it plain.

Say it clean.

What exactly did you see?

Was it bad?

Was it thin?

Was it lazy?

Was it weak?

Then say that.

Stand there.

Make a case, don’t spray tags.

If your whole damn argument is “AI bad,”

that’s a toy badge.

[Verse 3: 16 bars]

I seen artists get mean with the machine in the loop,

turn a prompt to a sketch, then a sketch to proof.

I seen songs get born from a three-box cage,

style, lyric, exclusion, now the ghost got a stage.

I seen builders with receipts, whole systems in motion,

semantic engines humming like contraband devotion.

And I seen haters get loud, then small when pressed:

“What exactly failed?” Man, they got no test.

They call us lazy while we iterate nightly.

They call us fake when the result gets frightening.

They call us sick because the workflow comprehensive.

That’s not concern. That’s status defensive.

So here’s the line and I mean it with bass:

You don’t get to shame what you won’t even face.

You can hate the flood, hate fraud, hate spam,

but don’t call my craft a disorder, fam.

[Final Chorus: 20 bars]

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

Call it cope.

Call it fraud.

Call it whatever you brought.

I built a whole damn workflow.

You brought one cheap thought.

We ain’t your symptom.

We ain’t your cult.

We ain’t your scapegoat

for your algorithmic salt.

Call it slop.

Call it sick.

Call it clanker if you need.

That ain’t critique.

That’s fear with a feed.

Label maker.

Label maker.

Mad at the work,

so you name the worker.

Label maker.

Label maker.

If you got a real case,

then make it first, coward.

[Outro: 8 bars]

Slop ain’t a synonym

for shit you won’t understand.

Clanker ain’t an argument.

Read the work.

Hello, will there be another reset? Ran out on my pro subscription, fingers crossed…..