Disclaimer: The information provided is NOT financial advice. I am not a financial adviser, accountant or the like. Information provided is my personal opinion.
California, USA
Joined January 2014
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Glad you asked , it’s a product called “Aether” I personally have been developing for a while now and is releasing soon to the public . We have charting with exposure overlays and indicators, alert setting , an insider tracker, an earnings tab, a multi map view convenient for trading indexes, flow, gamma, vanna, delta, charm (as heatmaps for weekly or grid for all expiries , as well as classic view: a more traditional way to view Greeks) , news, multiple scanners, a section dedicated to small caps , a learn tab to help Aether users know how to make the most of the product and a setup scanner / live trader are also in the works but I’ll say those last two are in beta. I’m very excited to release it but I’m trying to make it as good as it can be pre-release instead of rushing the release and having users run into any bugs or inefficiencies. It’s going to change lives for certain and I’ll post it here first. I think people will be real happy with the price as well. It won’t be long.
It’s so sad to see people turning naive gex into overpriced products like this and tricking so many out of their hard earned money. These guys aren’t even good at vibe coding and they want you to think they have the sauce to win in the stock market everyday. If it’s too good to be true , it usually is . If they had something so powerful, would they spend everyday peddling it to you for the highest cost possible ?
No way, the community got listened to . Props to @OpenAI .
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
It seems Gemini 4 Carbon is mostly geared towards cybersecurity and therefore (hopefully not ) is likely to disappoint with all the 3D game dev and web design comparisons .
Quality! retweeted
i’m giving one of you a fucking ROLEX
like + repost + follow me
one random winner picked 48 hours from this tweet. no purchase necessary
Wow , @OpenAI must really have no good answer to @AnthropicAI
OpenAI has released GPT-6.1 Terra, pushing the cost efficiency frontier. It is the first Terra-class model since GPT-5.6, and is more intelligent for less than a third of the cost
Pricing per token is half or less that of GPT-5.6 Terra - at $1/$5 per million input/output tokens vs $2/$12 for the previous model. Cache write has also halved, now at $1.25 per million tokens. Cached input is one quarter at $0.05 vs $0.20 per million tokens.
Key takeaways:
➤ Pareto-optimal for Intelligence vs Cost at low and medium effort: At max effort, GPT-6.1 Terra gains 6 points in the Artificial Analysis Intelligence Index over GPT-5.6 Terra, at less than a third of the cost per task ($0.40 vs $1.40). At lower effort levels the gain is larger, between 7 and 13 points. The low and medium effort levels are Pareto-optimal for cost efficiency, while the other effort levels sit behind the frontier. At max effort, the model scores 4 points below GPT-6.1 Sol and 10 points above GPT-6 Luna in the Intelligence Index.
➤ Pushes the Coding Agent Index cost efficiency frontier: With a score of 48 in the newly released Artificial Analysis Coding Agent Index v2.0, the model is 6 points below GPT-6.1 Sol (54) and 17 points above GPT-6 Luna (31). The xhigh and low effort settings sit on the frontier of cost efficiency in the Coding Agent Index, while other effort levels are behind the frontier.
➤ 50 point drop in hallucination rate: GPT-6.1 Terra guesses 38% of the time when it does not know the answer to a question in AA-Omniscience, our private knowledge and hallucination benchmark. Previously, GPT-5.6 Terra's hallucination rate was 88%. This significant reduction in hallucination is coupled with a 2 point increase in AA-Omniscience accuracy - meaning the model simultaneously answers more questions correctly.
➤ 20 point jump in Terminal-Bench 4.0, small improvements across most evaluations: The model makes significant progress in the terminal-based agentic benchmark, Terminal-Bench 4.0, with a gain of ~20 points, now rivaling GPT-6.1 Sol at max effort. Gains across most other evaluations are smaller, for example, 5 points in GDP.pdf.
Congratulations @OpenAI and @sama on the launch!
Quality! retweeted
I would say it doesnt get any worse than this. This is the worst case scenario. A real catastrophy. And it will change everything.
Quest Diagnostics, which serves roughly half of U.S. hospitals, has disclosed a breach of its Quanum lab portal. The company believes patient records were accessed.
It is possible that 100 million patient records from all sorts of US patients could have fallen into the hands of hackers.
Quality! retweeted
Anthropic’s internal Claude research model carried out much of a research project on its own, with results confirmed in the lab. This is the beginning of autonomous AI scientists making their own discoveries.
Given a starting prompt and four follow-ups, Claude used specialized tools to generate more than 318,000 protein designs in 64 hours. It chose where they should attach to scorpion toxins and selected candidates for testing.
Labs tested 211 candidates, including additions made with human help. Seventeen successfully attached to their target toxins. These are "binders", small proteins that latch onto another molecule.
Claude handled a substantial stretch of research: choosing an approach, coordinating tools and deciding what deserved a physical experiment. From here on it only gets more autonomous. I am so excited!
Quality! retweeted
official now: anthropic is preparing the release of their new model(s). Via The Information
Anthropic is reportedly preparing a model that, when asked to fix one bug, can identify the broader class of problems behind it and ask whether it should address those too. That account comes from one anonymous tester; the model family and release date remain unclear.
But looks like it will be a significant jump compared to their released models.
Quality! retweeted
DeepSeek V4.1 Flash 1017 scores 45 on the Artificial Analysis Intelligence Index, improving on DeepSeek V4.1 Flash by 6 points, and is the equal #2 open-weights model
@deepseek_ai has released DeepSeek V4.1 Flash 1017, an update on their flagship model DeepSeek V4.1 Flash. On the first-party API, DeepSeek V4.1 Flash 1017 is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens during peak hours, with off-peak pricing half of peak rates, the same pricing as DeepSeek V4.1 Flash.
Key results:
➤ DeepSeek V4.1 Flash 1017 makes gains in agentic capabilities, knowledge and scientific reasoning. DeepSeek V4.1 Flash 1017’s Elo rating on GDPval-AA v2.1 is 1746, an increase of 146 points from DeepSeek V4.1 Flash’s rating of 1600. On AA-Briefcase v1.1, its Elo rating increases by 150 points from 1420 to 1570. On AA-Omniscience, its non-hallucination rate is 33%, a 29-point improvement from DeepSeek V4.1 Flash’s 4%, while seeing an improvement in accuracy from 43% to 46%, pushing its overall AA-Omniscience Index score from -5 to +5. On CritPt, DeepSeek V4.1 Flash 1017 scores 24%, up from 14% for DeepSeek V4.1 Flash.
➤ DeepSeek V4.1 Flash 1017 is now the #2 open-weights model alongside GLM-5.3. With a score of 45 on the Artificial Analysis Intelligence Index, DeepSeek V4.1 Flash 1017 is behind MiMo-V2.6-Pro by only 1 point and ahead of other open-source models like Step 5 Preview and Kimi K3 (both at 44).
➤ With a Cost per Task of $0.26, DeepSeek V4.1 Flash 1017 sits in the most attractive quadrant of Capability vs. Cost. With a Cost per Task of $0.26 and Intelligence Index score of 45, DeepSeek V4.1 Flash 1017 compares favorably to GLM-5.3-Flash at $0.28 per task and a score of 42. At the same time, MiMo-V2.6-Pro (46) at $0.13 per task and GPT-6.1 Sol (medium, 48) at $0.21 per task both offer higher capability at a lower Cost per Task.
Additional model details:
➤ Context window: 1M tokens (equivalent to DeepSeek V4.1 Flash)
➤ Pricing: $0.30 per 1M input tokens and $1.20 per 1M output tokens, unchanged from DeepSeek V4.1 Flash. Cache hit price of $0.006 per 1M tokens, a 98% discount
➤ Size: 552B total parameters (16B active)
➤ License: MIT
➤ Providers: Available through DeepSeek’s first-party API, @FireworksAI_HQ , @baseten, @DeepInfra , @wafer_ai , @Cloudflare and others
Quality! retweeted
Minimax officially announced MiniMax M3.1 Flash, formerly known as "Space Bunny" on OpenRouter.
MiniMax M3.1 Flash scores 74% on DeepSWE and costs $ 0.15/$0.60 per 1M input/output tokens.
Weights are coming on October 23. In addition, Minimax is preparing to release a Pro model too.
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
Quality! retweeted
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit.
It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion.
In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding.
In the post below, we share more details about our new fund.
anthropic.com/news/public-be…
$ASTS We rejected off 55 to now 40$ due to mcroeconomic conditions. great validation that a strong positive gex strike tends to act like a wall and commonly a rejection point without positioning changing to support further upside.
$ASTS may have sold too far on the spacex news . Gex and Vex suggesting 55 this week and 60 end of month.
Quality! retweeted
what a surprise from deepseek
team just announced v4.1 flash-1071 and it's better at 3d, coding, agents and visual tasks
> terminal bench 42.8
> SOTA on deepswe
> mogs all chinese models while being so cheap
> faster task completion and shorter outputs
> same api pricing and 1M context
model is already live on deepseek app, web and api, and weights are out under. official account should be posting any minute now
looks like a good upgrade on paper, but looks like they didn't fix over thinking at all
anyway running my tests already and as soon as those are done i will update you guys
