So you are saying we don’t know how long approval will take? It could be this month or even a few more $NWBO Any Idea the status of Eden validation ? They aren’t stopping Specials so it isn’t anything of true concern. It has got to be Eden or analyzing Specials data. People die

What’s happening?

@alphavestcap skitahoe Re: None Friday, June 12, 2026 1:37:17 AM Post# of 830168 During the past 5 or so years our market cap has shrunk from nearly $1 billion to the $307 million it is today. Dilution is less than doubled, yet the market cap is under about a third of what it was. The point is, LP has added much extra values, FlaskWorks, Advent, Roswell, etc. to what the company represents as well as taking its first product to the brink of approval, yet with all the moves in the right direction, the stock's worth less than a third. What's wrong with this picture, what caused this to happen? I've got to believe that MM's manipulating, shorts with the benefit of the likes of AdamF, etc have been working to try to kil the company, thankfully they haven't been successful and with an approval they never will. What should we be worth after approval? While I believe that we represent essentially as much as RVMD with it's over $30 billion market cap, I believe if we reached 1/3rd of it, $10 billion by the end of the year investors would be thrilled. That would be somewhere around a $7 share price. I believe that's a ten to twenty bagger for most long investors here. Tomorrow should be interesting with Space-X coming public, while I have a little in a mutual fund that has some shares already, I don't expect it, or even investors who get in at the opening price, to make 10X to 20X this year. I believe most would be thrilled with a double. As for us, with what I said after speaking with GZ, it's hard to say it will be a FOMO Friday, we still could be nearly 1 to 3 months off. Then again, GZ said you never know when the regulator will stop asking questions and then how long to a decision, perhaps it could come faster than he thought. I've said in the past that where we go after approval will depend on just how much attention we get in the mass media from the approval, if it's minor, perhaps the $2 which is roughly a $3 billion market cap, but if mass media is strong, who knows, compare it with RVMD and it's $30 billion market cap, shouldn't we be worth at least a third of that. A $10 billion market caps about a $7 share price. No telling what that might bring in news post approval. By the way, to the poster asking management to buy shares on the open market, they can't do so when they're believed to be trading on inside information, that's nearly none of the time. Management gets options which permit them to build their portfolios, they rarely can buy on the open market. That's it for today, Gary

Multiple reports say these are the uniforms the Bears are going to wear as their Nike Rivalries Jerseys against the Packers on Christmas Day.

Take way the 90 days and that leaves June 26th, rechecking MHRA Guidance seems to indicate 210 days total.

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

You don’t hire that level of criminal defense firepower unless you’re worried the documents coming out could look a lot worse than just civil violations. Think about it. If the data shows clear patterns of spoofing that cross into criminal territory, this goes from civil damages to DOJ/SEC criminal referrals REAL fast. 👇

Who is Rushmi Bhaskaran? A better question is: Why did G1 bring this top CRIMINAL defense attorney on board against $NWB0? 👇

Ms. Bhaskaran is a former SDNY prosecutor who spent years dealing with white-collar criminals. Her criminal defense specialty? Spoofing schemes. Securities fraud. Market manipulation. Wire fraud. Trading violations. Exactly the kind of scams NWBO is accusing G1 of. 👇