GPT
EA Series Trust Intelligent Alpha Atlas ETF
stock NASDAQ ETF

I asked this question to Chat GPT, quite insightful. I won't be a sausage and post slop

GPT came up with that one.

I asked GPT to make it off of a Google sheets tracker I use. The Google Finance toolkit is very powerful if you know how to use it

the AI screener is just a prompt run through a GPT model that has a live market‑data connector (e.g. Alpaca or Polygon). it pulls the latest weeklies, filters for at‑least 1 % return, lowest delta, and a generous OTM cushion, then hands back a ranked list of 20 hits for the trader to review – no automatic execution.

You are speaking a foreign language to me. All I do is upload my tracking Google Docs spreadsheet into GPT and my monthly statements. GPT does the rest.

Let’s ask Chat GPT

Dafür haben sich ja die US-Labs entsprechend revanchiert und offensichtlich (still und heimlich) die Fortschritte bei der KV-Cache Kompression von DeepSeek bei GPT 6.1 Sol und Opus 5.5 übernommen, natürlich ohne die Leistung anzuerkennen. Die bedienen sich alle bei den anderen. Ganz zu schweigen vom Diebstahl geistigen Eigentums, denn *alle* AI-Labs in riesigem Stil begangen haben.

Für mich sieht das nach eine sich beschleunigenden Entwicklung aus und sollte Compute nicht noch teurer werden, dann sind könnten wir nicht mehr so weit von einem AI-2027-artigen Szenario entfernt sein. Winner takes all.

No specific prompt. Just ask GPT to create a dashboard for me using my excel spreadsheet tracking info, along with my statements. Then change it based on what I feel is most relevant.

Looking at side gigs online and it’s just a bunch of Indians bidding less than minimum wage with some Chat GPT generated profile 😩

I use GPT. I have a spreadsheet on Google Docs that I use to input all the information and I also upload my statements into GPT. I then use that information to update this every single month. I update overtime with less or more information based on input from the Reddit community. This is the most latest version.

Bro, over the last week the US High Yield Index Option-Adjusted Spread has been on an absolute hot tear. The economy that is being propped up by the AI bubble has started to crack. The only people left to feed this are dumbass private investors.
As for Anthropic's numbers, its fundamental business model is fucked. Costs do not decrease for them as productivity goes up, it goes up at an accelerated rate as compute demand rockets. Just look at the training costs from GPT 1 to 6. They are still NOT charging the appropriate cost for people and companies to use their frontier models. They are STILL operating at a loss.

I don't know why but I have always experienced such an enormous disconnect between what the benchmarks show the Google models can do, and the far sub-par experience when actually using the Gemini app, vs what I get out of OpenAI or Claude. That I lost any hope in benchmarks.
After each release, I wait a few weeks for the models to stabilize, give it yet another try, and like clockwork it is just not at all comparable for the same types of prompts I regularly rely on GPT and Claude on.
This subjective experience is so strong against those benchmarks, that I refuse to put money behind Google as a contender in this race. It feels like something is too off.

GPT 7 Strider

Anthropic filed for IPO. It had approx 42 billion loss in 2025. And they are investing more and more money for their AI. The AI economy is bubble. And again environmental hazards outweigh the good AI does right now.
Muse and Dots are worse for environment than normal GPT and Claude as things stand.
It's not a thought. It's a fact. India could look to manufacture chips for the companies, if we have the resources. But apart from it, I am glad we missed the AI train.
We need to find our own niche and build our economy around that. Not just blindly run into whatever the trend is.

Damn, according to Google's own benchmarks, Gemini Argon [stomps the shit](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/) out of GPT Astra and Claude Fable in most tasks (except agentic coding, but who cares about that nerd dogshit anyway)
I kinda want to give this a spin for research work. If this one can avoid the heavy hallucination loops the other versions had, this could be the one. Google might even go up in stock price, which is unheard of but not impossible.

GPT and Claude are over fitted on programming, but Gemini is better for everything else because *Google has all of the data*. Don't use Gemini for code. Hell, LLMs should have never been used for code. They don't even follow DRY, and no one cares to optimize when they are told to go 10x.

OK wake me up when Gemini doesnt constantly make shit up and starts catching up with GPT, Claude of Grok

I use the paid, consumer versions of both GPT and Gemini for work and for personal projects, and there has been a night and day difference between the two.

Gemini is dumber than a bag of hammers, and I have so little trust in its answers and code work that I've stopped using it. It tries to look stuff up - sometimes, if it's not hallucinating like it frequently does - but it doesn't seem to know what a good source is. It basically Googles shit and gives the first few answers it finds like it's true, regardless of what random forum it found them in. GPT seems to be much better at weighting information based on where it found it and about generating code that is mostly comprehensible.

So I'll be very interested to see if the new model has brought it closer to being actually useful.

I asked chat GPT
"Alright so on a scale from 1 to 100 with 1 being the bearish extreme and 100 being the bullish extreme. Where do you think this presentation will land? Just give me the number and no additional explanation."
and Chat GPT said:
"68"
So we're probably doomed... lol

How does it stack up to GPT astra 6??