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@Steezehuman 👀🤣😂

Small accounts tweeting to absolutely ZERO engagement

Most AI systems fail at the handoff. Not the model. Not the prompt. Not the code. The handoff. That is why TORQ Console now uses the V5 Harness: a 6-agent adversarial development pipeline for shipping non-trivial system work without letting complexity collapse into chaos. The earlier harness had three roles: Architect. Builder. Verifier. That worked until the work became too complex for one design pass and one verification pass to carry the load. V5 splits the system into separate authoring and adversarial-review phases: G1D writes the design. G1R attacks the design. The operator reviews the design gate. GPT-5.5 builds. G2A audits the build against acceptance criteria and 15 invariants. Kimi K2.6 refines bugs and race conditions. GLM-5.1 is caged to UI polish only. That separation matters. Because the most expensive mistake is not a bad build. It is a good build against a drifting target. Over the last 10 runs, the pattern became clear: G1D and G1R improve the plan. But the operator design gate catches PRD-vs-target-state divergence before the work gets dispatched. That step has already converted would-be amend-and-rerun cycles into clean audits. Two examples: T-V2A reconcile caught divergence before build and landed clean. T-70 caught the §2.4 and §13.1 issues at design, corrected them, and passed clean re-audit. The lesson is simple: Human review is still highest leverage when placed before execution, not after failure. V5 is not “more agents for more complexity.” It is role separation. It is adversarial review. It is state-controlled coordination. It is build discipline. It is live-DB verification at the operator post-merge stage, not inside a skipped test path. It is explicit git hygiene. It is schema verification. It is audit taxonomy. It is knowing which model belongs in which lane. The current record: 10 clean runs. All approved or approved with amendments. Including T-49B, D5, T-49D, T-49E, T-35A, T-55, T-54, T-V2A, and T-70. The biggest unlock was not automation. It was governance. TORQ is not trying to build an AI coding assistant. TORQ is building an operating system for governed execution. And V5 is the development harness proving that the same principle applies to the system building the system: No uncontrolled handoffs. No blind trust. No single-agent heroics. Design. Review. Build. Audit. Refine. Verify. That is how serious AI infrastructure gets shipped.

Claude Opus 4.7 vs GPT-5.5 what nobody is telling you: -Opus 4.7 wins on coding. It's not close. -GPT-5.5 wins on terminal workflows and math -Both have 1M token context windows -Opus 4.7 sees images at 3x higher resolution -GPT-5.5 uses 72% fewer tokens for the same task -Opus 4.7 is better at fixing real GitHub issues -GPT-5.5 is faster and cheaper to run at scale They're not competing. They're optimized for different work.

GME is getting interesting, but it is not confirmed yet. The chart is saying the same thing the headline is saying. The 4H is trying to recover. The daily chart is still cautious. The weekly chart is improving, but stretched. Now add the eBay proposal. GameStop is no longer just trading like a meme-stock turnaround story. It is trying to act like a capital allocator. That changes the conversation. But it does not remove the risk. A non-binding proposal is not a completed deal. A large acquisition is not automatically strategic brilliance. And a headline is not the same thing as market confirmation. For me, the levels still matter. Above $25.50, the recovery gets more credible. Above $28, the market starts treating this like a real breakout attempt. Below $23, the risk profile changes fast. The story is powerful. The setup is alive. But discipline still wins. Not financial advice. #GME #GameStop #Trading #MarketStructure #Stocks #TORQ

GME is in one of those setups where the chart is interesting, but not clean enough to chase. The 4H chart is trying to recover. Money flow is still constructive. Price has short-term optionality. The daily chart is more cautious. WaveTrend is still down. Money flow is bearish. The bigger timeframe has not fully confirmed the move. The weekly chart is where it gets interesting. Structure has improved. Kalman is strong. ADX is firm enough to matter. WaveTrend has turned up. But money flow is still negative and StochRSI is already stretched. That means GME is not dead. But it is also not fully confirmed. This is exactly where traders get in trouble. They see movement and call it direction. They see volume and call it conviction. They see one timeframe improving and ignore the others. TORQ AI is reading this as a neutral-to-cautious setup with upside optionality. The levels are simple: Above $25.50, the recovery becomes more credible. Above $28, the setup starts to look like a real breakout attempt. Below $23, the risk profile changes fast. Until then, this is a confirmation trade, not a hype trade. The 4H is trying. The daily is not convinced. The weekly is improving but stretched. That is not a reason to panic. It is a reason to be disciplined. Not financial advice. #GME #Trading #MarketStructure #AITrading #TORQ #RiskManagement #Stocks

GME is at a decision point. The 4H chart is trying to recover. Money flow is still showing signs of life. Structure is improving enough to pay attention. But the daily chart is not giving full confirmation yet. That is the part most traders miss. They see volatility and call it momentum. They see a spike and call it a breakout. They see volume and assume conviction. But a real setup needs alignment. Right now, TORQ AI has GME in a neutral-to-cautious zone. Not dead. Not confirmed. Not a clean chase. The levels matter: Above $25.50, the recovery starts to become credible. Below $23, the risk profile changes fast. Between those levels, it is mostly noise, emotion, and confirmation hunting. That is why I built TORQ this way. Not to guess harder. Not to hype charts. Not to pretend every move is a signal. The job is to separate structure from excitement. GME has attention. It has volume. It has optionality. What it does not have yet is full timeframe alignment. And until it does, discipline is the trade. Not financial advice. #GME #Trading #MarketStructure #AITrading #TORQ #RiskManagement #Stocks

Ryan Cohen of GameStop, $GME, was asked how the "math math's" for $GME to acquire eBay, $EBAY.

GME is giving one of those setups where discipline matters more than excitement. The 4H chart has recovery potential. The money flow is still constructive. The short-term structure is trying to turn. But the daily chart is not fully confirming it yet. That matters. TORQ AI has the current read as neutral-to-cautious. Not bearish enough to abandon the setup. Not bullish enough to chase it. The key zone is simple: Above $25.50, the recovery gets more credible. Below $23, the risk profile changes fast. Between those levels, this is mostly noise, volatility, and confirmation hunting. A lot of traders lose money because they see movement and call it direction. That is not the same thing. A real setup needs alignment across timeframes, momentum, money flow, and structure. Right now, GME has interest. It has volume. It has optionality. What it does not have yet is full confirmation. That is where better systems help. Not by predicting perfectly, but by forcing you to separate signal from emotion. Not financial advice. Just disciplined market structure. #GME #Trading #MarketAnalysis #AITrading #TORQ #RiskManagement #Stocks

GAMESTOP IS FALLING.

GME is giving one of those setups where discipline matters more than excitement. The 4H chart has recovery potential. The money flow is still constructive. The short-term structure is trying to turn. But the daily chart is not fully confirming it yet. That matters. TORQ AI has the current read as neutral-to-cautious. Not bearish enough to abandon the setup. Not bullish enough to chase it. The key zone is simple: Above $25.50, the recovery gets more credible. Below $23, the risk profile changes fast. Between those levels, this is mostly noise, volatility, and confirmation hunting. A lot of traders lose money because they see movement and call it direction. That is not the same thing. A real setup needs alignment across timeframes, momentum, money flow, and structure. Right now, GME has interest. It has volume. It has optionality. What it does not have yet is full confirmation. That is where better systems help. Not by predicting perfectly, but by forcing you to separate signal from emotion. Not financial advice. Just disciplined market structure. #GME #Trading #MarketAnalysis #AITrading #TORQ #RiskManagement #Stocks

Andrew Ross Sorkin challenged GameStop CEO Ryan Cohen on how $GME has enough financing to acquire $EBAY

TORQ AI Executive Brief — GME Daily + 4H Forecast Current read: GME is not in a clean bullish setup yet. The 4H chart is neutral with slight recovery potential, but the daily chart is more cautious because the TORQ CipB panel is showing BEAR, WaveTrend is still down, and daily money flow has flipped bearish. GME is currently around $23.84, with the latest session showing a high near $27.88, low near $23.29, open near $25.05, and volume around 40M shares. That confirms a high-volatility rejection day: price pushed higher, but sellers brought it back toward the lower end of the range. Combined Signal The 4H chart said: neutral zone, weak trend strength, MFI still constructive, but no confirmed long. The daily chart now adds the bigger warning: momentum is still not fully repaired. Daily ADX is 24.9, which is stronger than the 4H ADX, so the daily move has more trend weight. But the issue is that the momentum panel is still reading WT DN and MFI BEAR. That means the larger timeframe is not fully supporting a bullish chase yet. The positives are: Kalman: 1.5 / 1.5 Daily structure has improved. HTF Weekly: 1 / 1 The weekly backdrop is not broken. ADX: 24.9 There is enough trend strength for the next move to matter. The negatives are: TORQ CipB: BEAR Daily momentum is not confirming bullish continuation. MFI BEAR: -6.5 Daily money flow is still defensive. WaveTrend Down Momentum has not turned back up yet. Anchor 240: NEUTRAL The 4H anchor is not confirming either long or short. Forecast Base case: GME chops between $23 and $25.50 while the market decides whether the recent spike was accumulation or another failed push. Bull case: A strong reclaim of $24.80–$25.20 improves the 4H read. A daily close above $25.50 would be stronger. Above that, the next targets are $26.80–$27.80, then the bigger breakout test near $28+. Bear case: If GME loses $23.00–$23.30, the setup weakens fast. That would likely push price toward $22.00–$22.50, and below that the chart shifts from neutral consolidation to defensive breakdown risk. TORQ Decision Do not chase the long yet. The 4H chart gave upside optionality, but the daily chart says the bigger timeframe has not confirmed it. Best read: Above $25.50: bullish recovery becomes more credible. $23.00–$25.50: neutral/chop zone. Below $23.00: bearish risk increases. TORQ Forecast Score: 5.6 / 10 Bias: Neutral-to-cautious Best setup: Wait for a 4H reclaim above $25, then daily confirmation above $25.50 Invalidation: Below $23 High-conviction breakout level: Above $28

JUST IN: "Big Short" investor Michael Burry sells all his GameStop $GME stock.

@ErikVoorhees If you can run a good enough model locally, you don’t need E2EE/TEE at all. You’ve already removed the remote party. A local LLM with full-disk encryption and proper OS security will keep your private keys just as safe as any TEE, and with zero additional complexity.

If you're getting your inference from Anthropic or OpenAI or Google, you're being captured by extractive institutions: All your data is going to them (and hackers, rogue employees, governments... both today and tomorrow) Inference can be private. GLM 5.1, Kimi K2.6, Deepseek V4... these models are as powerful as any frontier model from just 3 months ago, yet are open source and can be run without betraying your life and data to any 3rd party. Point your agent to Venice for every private model in one place (plus crypto tools, web search, embeddings, image and video models...). Could not be easier. Be intentional. Private model access below 👇

@CodeWithAmann K2.6 great at bug refiner, V4 great at building, glm-5.1 great at UI qwen 3.5 can be trained only use for technical chat

Be honest, which is the best open source AI model?

Most AI systems fail at the handoff. Not the model. Not the prompt. Not the code. The handoff. That is why TORQ Console now uses the V5 Harness: a 6-agent adversarial development pipeline for shipping non-trivial system work without letting complexity collapse into chaos. The earlier harness had three roles: Architect. Builder. Verifier. That worked until the work became too complex for one design pass and one verification pass to carry the load. V5 splits the system into separate authoring and adversarial-review phases: G1D writes the design. G1R attacks the design. The operator reviews the design gate. GPT-5.5 builds. G2A audits the build against acceptance criteria and 15 invariants. Kimi K2.6 refines bugs and race conditions. GLM-5.1 is caged to UI polish only. That separation matters. Because the most expensive mistake is not a bad build. It is a good build against a drifting target. Over the last 10 runs, the pattern became clear: G1D and G1R improve the plan. But the operator design gate catches PRD-vs-target-state divergence before the work gets dispatched. That step has already converted would-be amend-and-rerun cycles into clean audits. Two examples: T-V2A reconcile caught divergence before build and landed clean. T-70 caught the §2.4 and §13.1 issues at design, corrected them, and passed clean re-audit. The lesson is simple: Human review is still highest leverage when placed before execution, not after failure. V5 is not “more agents for more complexity.” It is role separation. It is adversarial review. It is state-controlled coordination. It is build discipline. It is live-DB verification at the operator post-merge stage, not inside a skipped test path. It is explicit git hygiene. It is schema verification. It is audit taxonomy. It is knowing which model belongs in which lane. The current record: 10 clean runs. All approved or approved with amendments. Including T-49B, D5, T-49D, T-49E, T-35A, T-55, T-54, T-V2A, and T-70. The biggest unlock was not automation. It was governance. TORQ is not trying to build an AI coding assistant. TORQ is building an operating system for governed execution. And V5 is the development harness proving that the same principle applies to the system building the system: No uncontrolled handoffs. No blind trust. No single-agent heroics. Design. Review. Build. Audit. Refine. Verify. That is how serious AI infrastructure gets shipped.

@bindureddy Read the real world tests Torq Business Solutions ran linkedin.com/feed/update/ur…

DeepSeek V4 Beats Opus 4.7 And GPT 5.5 To Become The World's Best Open Source Model DeepSeek V4 Pro is the NEW KING of open-source . - better and 10x cheaper than Opus 4.7 and GPT 5.5 medium - out performs Kimi 2.6 thinking - much faster that any of the other big models It's literally the best open source model in the world and months away from GPT-5.5 xHigh.

@akoskm Be on the lookout for my post about Torq Console- TORQ AI coming soon. Looking for some Beta testers

@DAssetBuzz governed sustainable stack is the future

Cancelled both my Claude Code Pro and ChatGPT Pro for this. Kimi K2.6 is just as good for my side projects as Opus or GPT 5.4 were. The price for this is crazy low, and there are a bunch of models I can try (like DeepSeek). Bonus: I'm moving away from building everything on Claude Code - now that both @opencode and @cursor_ai have their SDKs open, I feel I can rebuild the agentic workflows I built for Claude Code in a more platform-independent manner.

@Crypto_Jargon wow that's way below what Torq Trading is performing at.

ANTHROPIC JUST DROPPED A PREDICTION MARKET TRADING BOT STRUCTURE 🤯 68.4% WIN RATE. $300–$1,500 PER DAY.

This is a generational sorting of capital. The physical layer is winning. The software layer is fracturing. And the market is making its bets before most investors have even understood the question. linkedin.com/pulse/great-so…

The $56 Billion Audition $56 billion. That's the number GameStop just put on the table for eBay — $125 a share in cash and stock, a 20% premium to Friday's close. An unsolicited offer from a company with a $12 billion market cap to acquire one worth $46 billion. Read that again. A company is attempting to buy something nearly five times its own size. I've spent my career around leveraged transactions and risk structures, and I can tell you — this is not how M&A normally works. This is either one of the most audacious capital allocation moves in modern corporate history, or it's a billionaire's performance review disguised as a takeover bid. The honest answer is: it might be both. Let me walk through what's actually happening here, because the headline doesn't capture the architecture of this deal — and the architecture is where the real story lives. Ryan Cohen — the Chewy founder who became GameStop's CEO in 2023 — has been quietly building a roughly 5% stake in eBay. He's secured a $20 billion debt commitment from TD Bank. GameStop itself sits on approximately $9 billion in cash and investments, plus around 4,710 Bitcoin worth roughly $370 million. He's reportedly exploring additional financing from Middle Eastern sovereign wealth funds. But even if you add all of that together — the cash, the Bitcoin, the debt facility — it doesn't come close to $56 billion. The gap will have to be filled with GameStop stock. And that's where this gets philosophically interesting. GameStop stock is not a conventional currency. It's a meme-era artifact that has been kept alive by retail loyalty, convertible debt issuance, and Cohen's gravitational pull. Its market cap has fluctuated between irrelevance and absurdity multiple times in the span of five years. Asking eBay shareholders to accept that equity as partial payment for a $46 billion business is asking them to believe in something that the traditional market has never fully believed in. Cohen knows this. He told the Wall Street Journal he's prepared to run a proxy fight and take the offer directly to eBay shareholders if the board refuses."eBay should be worth — and will be worth — a lot more money," Cohen said. "I'm thinking about turning eBay into something worth hundreds of billions of dollars."That's not a financial argument. That's a conviction statement. And in my experience, conviction statements either precede transformative outcomes or spectacular implosions. There is rarely a middle ground. Here's what makes this deal so hard to dismiss, even if the arithmetic seems impossible.eBay is not a broken company. Overall, eBay GMV grew about 6% to nearly $80 billion globally in 2025. Revenue increased about 7% to reach $11.1 billion.Non-GAAP operating margins sit at 26.1%.It has 130 million active buyers, a payments infrastructure that works, and a recommerce positioning — pre-owned, collectibles, authenticated resale — that happens to overlap perfectly with the only part of GameStop's retail business that's actually working. Cohen isn't trying to buy a turnaround. He's trying to buy a platform — one that already operates at global scale — and bolt it onto a company that has $9 billion in cash but only $3.6 billion in declining revenue and fewer than 2,000 stores left. The strategic logic is cleaner than most people will give it credit for. The financial engineering required to execute it is where the bet becomes existential. And then there's the compensation structure, which is the part of this story that nobody should ignore.In January 2026, GameStop's board approved a performance-based stock option award valued by analysts at roughly $35 billion if fully earned, structured in nine tranches tied to escalating market capitalisation and earnings milestones. The most demanding: GameStop must reach a $100 billion market value and generate $10 billion in cumulative EBITDA. Cohen draws no salary. If he fails, he receives nothing from the award.Cohen himself described it plainly: "It's ultimately either going to be genius or totally, totally foolish."I respect that framing more than I probably should. There's something genuinely rare about a CEO who structures his own compensation as a binary bet — who says, in effect, "pay me nothing unless I do something that has never been done before." That's not how most executives operate. Most executives negotiate floors, not ceilings. But it also means the incentive to swing for the fences isn't just philosophical — it's existential. Cohen needs a transformative deal to unlock his own compensation. eBay is that deal. The question is whether the need for a deal is driving the strategy, or whether the strategy would exist independent of the incentive. I don't have the answer to that. Neither does anyone else. But it's the question that matters most. Here's what I think, plainly. This deal, as structured, probably doesn't close. The financing gap is too large, the stock currency is too volatile, and eBay's board has no obvious reason to accept a bid from a company one-fifth its size that would require its shareholders to hold a significant position in GameStop equity. But that's not really the point. The point is that Ryan Cohen just forced a conversation — about eBay's valuation, about GameStop's war chest, about what happens when a company with $9 billion in cash and a cult following decides to stop playing defense and start playing offense. Whether eBay says yes or no, the market now has to price in the possibility that GameStop is no longer a meme stock with a cash pile. It's a vehicle with a driver who has publicly committed to a $100 billion destination and is willing to lever up the entire balance sheet to get there.A potential deal would upend the usual M&A playbook. It's rare for a public company to target one nearly four times its size; such deals typically rely on heavy debt, stock issuance, or both — banking on future earnings of the combined company to justify the cost.That's either the beginning of something genuinely transformative, or the opening act of the most expensive proxy fight in retail history. There is no quiet outcome here. Cohen has bet everything — literally everything, given his compensation structure — on the idea that audacity, combined with capital, can overcome the arithmetic of a deal that shouldn't be possible. Markets love to tell you what's possible. Occasionally, someone shows up and forces the market to reconsider. Current read: This bid is more serious than the meme crowd realizes and more fragile than the bull case admits. Watch the financing. Watch eBay's board response. And watch how GameStop stock trades on Monday — because that stock is the deal's currency, and the market is about to decide what it's worth.

Will test it out and report

@akoskm Big mistake because you’re optimizing for cheap tokens, not reliable outcomes. The best setup is not one cheap model replacing everything. It’s a governed stack where every model has a job.

@DAssetBuzz Explain

@RodmanAi TORQ helps people make better business decisions under pressure.

Holy shit. Someone just open-sourced a financial brain. It’s called Dexter. → Finds undervalued stocks → Breaks down entire businesses → Builds full investment theses For free. Wall Street interns? Optional now. Repo: github.com/virattt/dexter