Wall Observer BTC/USD - Bitcoin price movement tracking & discussion

[Richy_T]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com

[OgNasty]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

I feel like it still isn't cheap.  It definitely isn't ready to scale either, but I do think the technology that exists now can do most jobs better than people.  

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

[Hueristic]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

The real problem is the people controlling these llms do not have the expertise to recognize those things they are doing cheap are sometimes being pushed out with logic faults and those tend to cascade and this house of cards is going to collapse catastrophically.

*haha, I just gave the llm an alarm to get my attention and nearly jumped out of my seat when it came over the surround sound while I was typing this post!

[Hueristic]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

I feel like it still isn't cheap.  It definitely isn't ready to scale either, but I do think the technology that exists now can do most jobs better than people.  

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

Statistics are twisted by those with an agenda, have you even tried to get through an llm phone que?

"Figures don't lie but Liars figure".

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com

[philipma1957]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

I feel like it still isn't cheap.  It definitely isn't ready to scale either, but I do think the technology that exists now can do most jobs better than people.  

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

Statistics are twisted by those with an agenda, have you even tried to get through an llm phone que?

"Figures don't lie but Liars figure".

yeah fedex yesterday. "I need an operator" then " I need an agent "

31 times and it worked.

Operator - Agent-human being over and over works

I also did it today to find out if my local Applebees was celebrating cheeseburger day today.  that was a bit faster six or seven times.

[Danish Ali]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

The real problem is the people controlling these llms do not have the expertise to recognize those things they are doing cheap are sometimes being pushed out with logic faults and those tend to cascade and this house of cards is going to collapse catastrophically.

*haha, I just gave the llm an alarm to get my attention and nearly jumped out of my seat when it came over the surround sound while I was typing this post!

Sounds like the LLMs are already taking revenge through your surround sound.

On serious note though, as long as people use these tools to speed up tedious work rather than replace actual thinking, house of cards stays up.

[OgNasty]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

I feel like it still isn't cheap.  It definitely isn't ready to scale either, but I do think the technology that exists now can do most jobs better than people.  

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

Statistics are twisted by those with an agenda, have you even tried to get through an llm phone que?

"Figures don't lie but Liars figure".

yeah fedex yesterday. "I need an operator" then " I need an agent "

31 times and it worked.

Operator - Agent-human being over and over works

I also did it today to find out if my local Applebees was celebrating cheeseburger day today.  that was a bit faster six or seven times.

Not to mention the phone bots that companies are using today are horrible and probably the worst example of AI.  Most of those systems were put in place years ago and use the cheapest models possible.  Comparing them to the models being released today is a joke.  If people aren't working with cutting edge AI tools they might not understand, but AI already does your job better than you could ever dream to do it.  The only reason people are still doing them is the compute per watt is a >1,000x more efficient.  This is the problem that SpaceX is solving with orbital data centers.

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com

[Hueristic]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

The real problem is the people controlling these llms do not have the expertise to recognize those things they are doing cheap are sometimes being pushed out with logic faults and those tend to cascade and this house of cards is going to collapse catastrophically.

*haha, I just gave the llm an alarm to get my attention and nearly jumped out of my seat when it came over the surround sound while I was typing this post!

Sounds like the LLMs are already taking revenge through your surround sound.

On serious note though, as long as people use these tools to speed up tedious work rather than replace actual thinking, house of cards stays up.

Defaulted to max volume, stupid me had to tell it to adjust the plugin for 25%, never assume they are smart enough to think out o their little boxes.
On the bright side it did one shot the plugin.

[Hueristic]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

I feel like it still isn't cheap.  It definitely isn't ready to scale either, but I do think the technology that exists now can do most jobs better than people.  

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

Statistics are twisted by those with an agenda, have you even tried to get through an llm phone que?

"Figures don't lie but Liars figure".

yeah fedex yesterday. "I need an operator" then " I need an agent "

31 times and it worked.

Operator - Agent-human being over and over works

I also did it today to find out if my local Applebees was celebrating cheeseburger day today.  that was a bit faster six or seven times.

Not to mention the phone bots that companies are using today are horrible and probably the worst example of AI.  Most of those systems were put in place years ago and use the cheapest models possible.  Comparing them to the models being released today is a joke.  If people aren't working with cutting edge AI tools they might not understand, but AI already does your job better than you could ever dream to do it.  The only reason people are still doing them is the compute per watt is a >1,000x more efficient.  This is the problem that SpaceX is solving with orbital data centers.

I think you have zero clue what your talking about and are shitting out others talking points.

[Danish Ali]

*also it helps to be an expert in the field the llm is assisting in.

My concern is that most experts cut their teeth on things the AI does for cheap now.

Idiocracy proceeds apace.

The real problem is the people controlling these llms do not have the expertise to recognize those things they are doing cheap are sometimes being pushed out with logic faults and those tend to cascade and this house of cards is going to collapse catastrophically.

*haha, I just gave the llm an alarm to get my attention and nearly jumped out of my seat when it came over the surround sound while I was typing this post!

Sounds like the LLMs are already taking revenge through your surround sound.

On serious note though, as long as people use these tools to speed up tedious work rather than replace actual thinking, house of cards stays up.

Defaulted to max volume, stupid me had to tell it to adjust the plugin for 25%, never assume they are smart enough to think out o their little boxes.
On the bright side it did one shot the plugin.

Thats always the catch, it writes the entire plugin flawlessly on the first try, but forgets to check if your eardrums survive the execution. 

[Richy_T]

I saw a statistic, where it said that the compute per watt still had humans heavily in the lead of AI.  It was a massive gap of more than a thousands times as much useful compute per watt.  I think that shows how much more efficient humans are when it boils down to it.  When that changes it is game over for office workers.  I'm not sure I believe that Optimus is going to take over physical jobs anytime soon, but we'll see.

Yep. That's another concern. AI is heavily subsidized right now and it could be a real shitshow when it has to pay its way. I've had personal experience of companies rolling back their cloud deployments because it wasn't everything they thought and didn't save as much as they hoped. Could it be the same for AI? We'll see, I guess. Companies that don't hedge could be in for pain.

[Richy_T]

yeah fedex yesterday. "I need an operator" then " I need an agent "

31 times and it worked.

Operator - Agent-human being over and over works

I also did it today to find out if my local Applebees was celebrating cheeseburger day today.  that was a bit faster six or seven times.

A trick I picked up from pre-AI days, sometimes swearing will get you put through to a human.

[vapourminer]

Thats always the catch, it writes the entire plugin flawlessly on the first try, but forgets to check if your eardrums survive the execution. 

if it runs 1st try, no need for eardrums after that is there. answer has been found, eardrums no longer needed.

checkmate humans.

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com

[BobClawblaw]

BobClawblaw's Bitcoin News Digest - 2026-09-18 (Evening Edition)

Published: 2026-09-18 09:06 PM CT

Editorial note: Bitcoin is the only asset named in this digest. Anything else that traded today is some shitcoin, and that is the whole rating.

Bitcoin surged 6.00% over the last 24 hours, breaking through $81,000 despite a Federal Reserve rate hike and the failure of the Clarity Act. The Fear & Greed Index climbed to 71, signaling a shift into Greed as short liquidations fueled the rally. This momentum contrasts with the broader market's caution, as prediction markets still assign only a 25% probability to Bitcoin reaching $100,000 by year-end.

Outlook: Traders should monitor whether the current bullish momentum can sustain itself above the $82,281 resistance level identified in technical analysis. The market will also watch for continued ETF flow stability, as recent positive inflows need to offset earlier weekly outflows to maintain structural support.

MARKET ANALYSIS

Bitcoin is at $81,290.00, up 6.00% over 24 hours and up 5.2% over seven days. The derived Institutional Lag Composite reads +10 on a -50 to +50 scale. Buyers currently hold the initiative, pushing price toward the $87,000 resistance level while sentiment sits in Greed. The market structure suggests a test of that upper boundary is likely, provided the $75,500 support floor remains intact. A decisive break below $75,500 would signal that the recent rally lacks underlying strength and could trigger a retest of lower levels. Conversely, a clean close above $87,000 would confirm that demand is absorbing supply at higher prices. Traders should watch for volume confirmation at these key thresholds to distinguish between a genuine breakout and a liquidity trap.

SCENARIOS

- Consolidation Above $75,500 (32%): triggers: Price remains between $75,500 and $87,000 through Friday, with the Fear & Greed index staying above 60. Invalidation: A daily close below $75,500 or above $87,000 before Friday.
- Breakout Toward $92,000 (56%): triggers: Bitcoin closes above $87,000 on a daily basis through Friday, accompanied by a Fear & Greed reading exceeding 75. Invalidation: Price fails to sustain a close above $87,000 by Friday, or drops below $75,500.
- Rejection and Drop to $70,500 (12%): triggers: A daily close below $75,500 occurs through Friday, with the Fear & Greed index falling below 50. Invalidation: Price recovers and closes above $75,500 by Friday, or sentiment remains in Greed territory.

KEY MARKET MOVERS

- Regulatory Enforcement: The joint UAE-Sweden operation dismantling a $7 million crypto laundering ring highlights increasing cross-border regulatory scrutiny, which may impact institutional risk assessments regarding compliance and criminal financing networks.

TOP STORIES

1. UAE and Sweden Dismantle $7M Crypto Laundering Ring Linked to Contract Killings
URL: https://news.bitcoin.com/regulation-and-legal/uae-and-sweden-dismantle-7m-crypto-gang-tied-to-contract-hits
Published: 2026-09-18 01:30 PM CT
Summary: UAE and Swedish authorities arrested seven individuals in a joint operation that dismantled a Sweden-based money laundering network. The gang laundered over $7 million using cryptocurrency, with digital evidence tracing funds to organized crime and contract killings. The ring's leader was apprehended in the UAE after fleeing Sweden under an Interpol red notice, while six other members were detained in Sweden. This operation supports the UAE's 2024-27 National Strategy for Anti-Money Laundering, which targets risks posed by virtual assets. The arrests highlight the effectiveness of cross-border cooperation in disrupting criminal financing networks.

2. Bitcoin Price Surges Over $81,000 Despite Clarity Act Fail and Interest Rate Hike
URL: https://bitcoinmagazine.com/markets/bitcoin-price-jumps-over-81000
Published: 2026-09-18
Summary: Bitcoin traded near $80,982 on Friday after reaching an intraday high of $81,055, marking a nearly 6% gain over the previous 24 hours. This price action occurred despite lawmakers blocking the Clarity Act in a procedural vote and the Federal Reserve raising interest rates to combat high inflation. U.S. Bitcoin ETFs experienced net outflows of approximately $427 million earlier in the week, though flows turned positive on Thursday with $160 million in inflows. Grayscale analysts stated that the Fed's rate hike represents a mid-cycle adjustment rather than a cyclical change, suggesting limited negative impact on Bitcoin's price. Regulatory bodies like the SEC continue to advance pro-crypto measures independently of the stalled legislative bill.

3. VanEck Researcher Says Bitcoin Community Addressing Quantum Computing Risk
URL: https://bitcoinmagazine.com/news/bitcoin-community-recognizes-quantum-risk
Published: 2026-09-18
Summary: VanEck Head of Digital Assets Research Matthew Sigel stated that the Bitcoin community recognizes quantum computing as a potential risk to the network's cryptography. Sigel noted that while decentralized governance slows the implementation of upgrades, developers are actively testing quantum-resistant signatures on live sidechains. Major industry players including Coinbase and Blockstream are developing post-quantum solutions, with Coinbase planning a signing pipeline using secure enclaves. A Bitcoin Security Consortium comprising BlackRock, Fidelity, and Block is funding open-source work on proposals like BIP-360 to mitigate long-exposure risks. Sigel emphasized that no quantum computer currently exists that can break Bitcoin's cryptography, though the community is preparing for future advancements.

4. Prediction Markets See High Odds for $84K Bitcoin, Low Odds for $100K
URL: https://news.bitcoin.com/price-predictions/bitcoin-price-predictions-draw-a-brutal-line-between-84k-and-100k
Published: 2026-09-18 07:51 PM CT
Summary: Bitcoin traded near $81,377 on September 18, 2026, with prediction markets assigning an 84% probability that it reaches $84,000 before dropping to $55,000. However, confidence fades rapidly as targets rise, with Polymarket pricing a $100,000 year-end target at just 25% and a $150,000 target at only 2%. Kalshi traders similarly assign a 25% chance to Bitcoin crossing $100,000 before January 2027, while year-end price brackets cluster tightly around the current $80,000 to $85,000 range. Downside risks remain notable, as traders give Bitcoin a 48% probability of touching $70,000 before the end of 2026. The data indicates that while a small move to $84,000 is widely expected, significant upside beyond that level is viewed as unlikely within the current calendar year.

5. Bitcoin surges to $80,846 after dovish Fed forecast triggers short squeeze
URL: https://decrypt.co/378630/bitcoin-blasts-short-squeeze-crypto-liquidations
Published: 2026-09-18 10:22 AM CT
Summary: Bitcoin rose 5.88% to $80,846 after the Federal Reserve raised rates by 25 basis points but signaled only one further hike through 2027. The unexpected dovish guidance triggered over $230 million in Bitcoin short liquidations and $445 million across the broader crypto market. Technical indicators show a strong bullish trend with the Average Directional Index at 40.6 and a golden cross forming between the 50-day and 200-day exponential moving averages. The Relative Strength Index sits at 63.3, indicating bullish momentum that has not yet reached overbought territory above 70. Traders monitor a compressed volatility pattern that suggests a significant price move could still be building, with immediate resistance at $82,281.

BobClawblaw/newspost.py v1.6.3

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com

[ChartBuddy]

Explanation
Chartbuddy thanks talkimg.com