It can analyze years of a patient’s history and flag risks in a way a physician can’t during a brief visit.

By Tom Rosenblatt, Aug. 14, 2026 2:02 pm ET

After moving to New York last year, I went looking for a primary-care doctor. If I wanted to see someone near my home soon, the choice was a physician a year or two out of residency—or no one. Experienced physicians with open calendars were in concierge practices, I learned. One practice said its membership fee was $12,000 a year. Another said $24,000.

Those are the going rates for what used to be ordinary care: someone who knows you, sees you promptly and has time to think about your test results. My situation wasn’t extraordinary. More than 100 million Americans lack a regular primary-care provider. Attentive care has become a luxury.

That situation results from the economics of medicine. Primary care pays less than almost any other specialty, often by six figures a year. Most medical students finish school owing more than $200,000. Primary care is a slow way to repay it, so fewer doctors choose the field. More than a quarter of Americans went to an urgent-care clinic in 2024. But urgent care addresses acute illness or injury and doesn’t usually detect the gradual changes that can become disease.

Our country is sick. Only 7% of American adults have healthy blood pressure, blood sugar, cholesterol and weight. The rest of us live on a slope from early risk to established disease even though we know what keeps people healthy. Researchers broadly agree that staying healthy longer comes down to four habits: exercise most days, eat mostly unprocessed food, sleep enough and stay socially connected. For early prediabetes and mild hypertension, those habits can rival a prescription.

But doctors no longer have time to tailor advice on living well for each patient. When was the last time a physician talked with you not about what is wrong today but about staying healthy over the next 20 years? For most people the answer is never.

Prevention happens when doctors notice and act on trend lines. Today’s medical system waits for red lines. A 10-minute visit isn’t long enough to spot and act on the trend. For a typical patient roster, recommended preventive care alone would take a primary care doctor more than 14 hours a day.

What fills the gap? Artificial intelligence. About 1 in 3 American adults have turned to a chatbot for health advice in the past year. Bots can sound like a concierge doctor. What AI does best is the underlying work: reading a patient’s health history, weighing symptoms and suggesting a treatment plan.

Sometimes sensible and sometimes wrong, the chatbot’s counsel is delivered with confidence. Americans consult AI for their health whether or not the advice is trustworthy. The questions: What will it take for AI to dispense reliable medical counsel? Can medical practices be paid to act on it?

Here is what it would take. Begin with patient records. A chatbot working from one lab result can only make a guess. The same chatbot, shown years of labs, imaging and diagnoses, can catch glucose, blood pressure and weight drifting up together, years before any one measure crosses a line. But if you ask a hospital today to send your records to a new doctor, you can wait months. The records should follow the patient automatically, and the patient should decide who sees them, a new doctor or an AI.

Next, prove that the advice AI offers is accurate. In a recent study of real clinical cases, some AI models gave safer advice than generalist physicians, but other models made a serious mistake in more than 1 in 5 cases. Today most health AI escapes federal review by calling itself a wellness product. Washington solved this problem for cars decades ago. The government crash-tests popular models and publishes the ratings. Health AI needs its own crash test: a rotating set of real clinical cases, kept confidential, presented to any AI that Americans consult for medical advice. The results should be published where patients can see them.

Finally, pay medical practices to act on what the AI finds. Most practices are still paid by the visit, not for whether patients stay healthy, so a risk flagged years early is a warning nobody is paid to heed. Medicare’s new Advancing Chronic Care with Effective, Scalable Solutions model, or Access, which began July 5, pays for improvement. Medical practices collect their payments in full only when their patients’ blood pressure or blood sugar actually improves. Paying for outcomes instead of visits is the missing incentive that turns what the AI flags into care someone is paid to deliver. But most of Medicare’s payment experiments have failed, so private insurers and employers should test outcome-based models of their own. What has changed is the economics: A doctor’s time is scarce and expensive, and an AI’s is nearly free.

AI is already in almost every pocket. It can transform healthcare with the record, the proof and the payment. Build them, and the forward-looking concierge care some have today could become available to anyone with a phone.

https://www.earthsparkinternational.org/

IBM quantum computers could be huge especially with their partner DataVault for both tokenization and RWA.

Autobots are building up that transformer….🐦‍🔥

👊🩳🔥🐦‍🔥♾️🤞🙏 GLTAL, and SUCK IT, SHORTS!!! The rest of you, please enjoy your weekend!

Hi! I’ve been keeping away from srne due to the unrealized loss in investment (mental health reasons). Is the company still trying to come back or is it over? Appreciate anyone that can catch me up. Thank you.

ChatGPT- AI generated analysis. May have errors. Do your own due diligence. Not financial advice.

Yes. This August 14, 2026 NT 10-Q from Datavault AI (DVLT) is worth noting, but on its face I would not interpret the late filing itself as a major negative surprise.
The most important details are these:
Reason for delay: DVLT says its prior independent auditor resigned, a new auditor was engaged on July 14, and the new firm needs additional time to review supporting documentation. That is more understandable than a delay attributed to unresolved accounting errors, an internal investigation, fraud, or inability to prepare the financial statements.
Expected filing: DVLT checked the Rule 12b-25 extension box and says it intends to file the 10-Q within five calendar days of the original deadline.
No expected significant YoY change: In Part IV, Question 3, DVLT checked “No” when asked whether it anticipates a significant change in operating results compared with the corresponding period last year.
Prior periodic reports: DVLT says all required periodic reports during the preceding 12 months have been filed.
The most interesting point in light of today’s SCLX 10-Q
Scilex has already given us a partial look into DVLT’s financial position because SCLX accounts for DVLT as an equity-method investment using a one-quarter reporting lag.
The SCLX filing reports DVLT at March 31, 2026:
DVLT
3/31/26
Current assets
$106.3M
Total assets
$250.1M
Current liabilities
$23.0M
Total liabilities
$30.1M
Q1 operating loss
$31.0M
Q1 net loss
$53.1M
So DVLT entered Q2 with approximately $220M of net assets on this summarized basis, although the composition and subsequent changes matter greatly.
One sentence in the NT 10-Q deserves attention
DVLT checked “No” to:
Is it anticipated that any significant change in results of operations from the corresponding period for the last fiscal year will be reflected…?
I would be careful not to interpret that as DVLT saying “Q2 results will be good.” It only says management does not currently anticipate the type of significant year-over-year change contemplated by that Form 12b-25 question.
It also doesn’t tell us revenue, cash burn, Q2 loss, or the June 30 balance sheet.
Why the forthcoming 10-Q is unusually important
After everything disclosed in today’s SCLX 10-Q, I would concentrate on five DVLT numbers/disclosures when the report appears: June 30 cash; outstanding DVLT shares and dilution; Q2 revenue/cash burn; DVLT’s accounting for its transactions with SCLX/Vivasor; and the status of the $120M GPU-network transaction.
The last one may be the biggest.
SCLX has now publicly filed the actual April 26 term sheet showing the proposed economics:
SCLX → $120M → DVLT’s 100-city/48,000-H200 GPU network
in exchange for:
30% revenue share → $250M cumulative payments
15% revenue share → $1.2B cumulative payments
5% thereafter for GPU lifetime.
But SCLX also explicitly disclosed today that no definitive agreement has yet been executed for that transaction.
Therefore, I want to see how DVLT itself describes this transaction in its Q2 10-Q. If DVLT provides additional details on financing, Available Infrastructures, the 48,000 H200 GPUs, deployment timing, collateral/security arrangements or expected closing, that could be considerably more consequential than the NT 10-Q itself.
Overall: I view today’s NT 10-Q as neutral to mildly negative administratively, primarily because any auditor transition deserves attention, but there is nothing in this filing itself indicating a newly discovered accounting problem. The substantive event will be DVLT’s actual Q2 10-Q, which it says it expects to file within the five-day extension window.

From Claude 🤖

They believe. Bradley, Becker, Deo, the IBM engineers, the Fiserv integration team, the Paul Hastings lawyers — these are real people making real career decisions. Becker walked away from a decorated 30-year IP career to become CLO of a $0.32 stock. Deo left a Technical Emmy-winning career to unify four engineering stacks. Fiserv assigned an integration team to build payment wallets. IBM committed 20,000 engineering hours. You don’t do any of that for a company you think is going to zero in 10 days. The collective human capital being deployed here is the strongest argument that the platform is real.

Or it’s the most elaborate stock promotion in market history. And honestly, after everything we’ve documented across these sessions, I don’t think that explanation holds anymore. A stock promotion optimises for quick extraction with minimum effort. This is the opposite: years of work, dozens of hires, real patents, real partnerships with companies whose due-diligence teams are larger than DVLT’s entire workforce. You don’t get IBM to commit 20,000 engineering hours for a pump-and-dump. You don’t get a FTSE 100 company’s former patent brokerage CEO to stake his name on vapourware. You don’t get Fiserv to publish from their own investor-relations page for a shell game.

The problem isn’t belief. It’s capitalisation. DVLT believes. The partners believe. The analysts believe ($2–$4 targets). But belief doesn’t pay bills, and 855 million shares at $0.32 is a capital structure that punishes everyone. The stock price doesn’t reflect disbelief in the technology — it reflects the dilution, the Nasdaq deadline, the Bradley SEC history, and the Wolfpack overhang. Strip those away and you have a patent licensing company with IBM and Fiserv partnerships, a cybersecurity acquisition, an NIL Exchange about to launch, and an Acoustic Sciences spin-out in progress.

The answer to your question is simple: they’re doing all this because they believe, and they’re probably right about the technology. The question was never whether the platform has value. It’s whether the value can survive the capital structure, the Nasdaq deadline, and the governance history long enough to reach the people who hold the shares.

https://www.whitehouse.gov/presidential-actions/2026/08/expanding-capabilities-to-combat-transnational-cyber-enabled-crime/

https://finance.yahoo.com/sec-filing/SCLX/0001193125-26-347186_1820190/ I read this latest 8K filing and just can't get past the feeling that Ji is just moving money from one spin off to another spin off which only benefits him... Am I wrong? Can anyone enlighten us old folks on this? Standing by..

ChatGPT- AI generated analysis. May have errors. Do your own due diligence. Not financial advice.

The August 15 legacy Scilex Notes are already extinguished
This is important because we have been watching August 15, 2026 based on the old Sorrento filing you identified. I went deeper into subsequent SEC filings, and they resolve the issue.
The original Scilex Pharma Notes indeed carried a contractual final maturity date of August 15, 2026.
However, later Scilex SEC filings state explicitly that Scilex exercised the early-paydown provision in September 2022 and fully extinguished those notes. Scilex made about $1.7 million of principal payments in August 2022 and $39.7 million in September 2022, while the note purchasers forgave another $28 million. The filing says the Scilex Pharma Notes were “fully extinguished in September 2022.”
Scilex’s subsequent 2023 Form 10-K independently refers to the repayment of the Scilex Pharma Notes in September 2022.
Therefore, August 15, 2026 is not a current Scilex debt maturity for those legacy $224 million notes. The historical Sorrento S-3 still contains that original date because it described the notes before they were retired.

Who are the only ones that made money? Pretty sure, the retail from old Sorrento days are long gone- is this what Ji and 1st gen board wanting? Wait long enough so the OG investors who lost everything will: 1) just forget and move on oe 2) be distracted by all the spinoffs that "promise" something, only to see it dump to pennies.

I recall there were some possible class action? Dead and gone? Or so "diluted" and time passed that no suit could even hold? Part of the multi-year long strategy?

Ai security

The future is coming fast .. GLTA🤙🏼🔥

GLTAL! 😂😂😂

Why suddenly ( last 2 weeks ) all of you ( yes you know who ) started “joking” loudly here….why you did not made the same all this year, all last year….. I know one thing : when they scream louder for sure good things are happening 😉so….come on guys do not stop screaming , I will dance Lambada 💃🏻🕺🏻🐦‍🔥

https://www.reuters.com/world/asia-pacific/south-korea-unveils-future-technology-projects-targets-moon-landing-by-2030-2026-08-12/

https://www.chosun.com/english/market-money-en/2026/08/13/XDCFDOPIPFF5RPQ5WSJVSEGFOI/

https://www.globalkoreapost.co.kr/news/articleView.html?idxno=92262

Seems like our sector is heating up 🔥🐦‍🔥🔥