codex

Hamster Kombat has recently gotten a bit of traction. $HMSTR saw a 20% gain in a single day; the move is clearly linked with Magma Finance, and market sentiment has been reignited.

The underlying logic is actually straightforward: g-token was added to the popular copy-trading/followers list, and CODEX ecosystem capital and attention flowed in accordingly. For a project that was once viewed as a “receding-tide TG bag,” it isn’t easy to find a new narrative anchor again.

At the current price of $0.00019, its market cap is about $12 million, and the 24-hour trading volume has surpassed $6 million. Liquidity isn’t low relative to its market cap, suggesting this isn’t just a dead shell rebounding—it’s real people moving in and out.

The key question is the sustainability of the CODEX ecosystem. If the g-token copy-trading effect can keep going, HMSTR won’t be just a sentiment coin; if it’s only a one-off linkage, then that 20% may be the peak.

For the short term, watch whether the funds can hold. For the mid term, watch whether the ecosystem narrative can actually land.

#HamsterKombat #CODEX

$CODEX USAGE LIMITS FIXED AFTER CREDITS BURNED TOO FAST 💡

Some users on the $200 plan saw a week's worth of Codex usage evaporate in a single day. Background subagents and auto-review ran too often, eating through quotas like a stop loss getting swept.

OpenAI reset caps and deployed fixes after a Sunday warroom. The dashboard even showed activity that wasn't charged — but the trust hit is real. When a paid tool feels unreliable, traders don't hesitate to step out.

Are you back on Codex now or waiting for the next quarterly report?

Not financial advice. Always manage your risk.

#CODEX #AI #UsageFix #Coding #TechNews

💎

How to Use Codex on Your Computer? A Deep Dive into Three Operational Interfaces and Permission Boundaries

OpenAI's Codex isn't just about one way to "use your computer". Depending on the task scenario and permission needs, Codex provides three different interfaces: Computer Use (desktop-level operations), Chrome Extension (browser multi-tab operations), and In-App Browser (development debugging).

• Computer Use: This has the broadest coverage, allowing direct manipulation of native applications on macOS/Windows, system settings, iOS simulators, etc. It's suitable for GUI processes without API support, but it's slower and has the widest permission boundary.
• Chrome Extension: This leverages the logged-in state of the browser to handle multi-tab tasks for Gmail, LinkedIn, Salesforce, etc., which require authentication. It carries the user's identity, making it more powerful but also more sensitive.
• In-App Browser: This has the strongest isolation, not inheriting the user's browser configuration, making it ideal for local development, visual bug reproduction, and responsive layout debugging.

Core Principle: If plugins or MCP can be used, avoid visual control; prioritize In-App Browser for web development tasks; switch to Chrome when user browser identity is needed; and only use Computer Use as a last resort when structured tools cannot cover the task.

Why It Matters: The key to AI Agent productization isn't about giving the model unlimited permissions, but rather continually narrowing those permissions and clarifying boundaries for specific tasks, while allowing users to retain review rights over critical actions. This layered design represents a significant milestone in the evolution of AI programming tools from "command line assistants" to "full-stack operating systems".

#Codex #AI #编程 #人工智能 #OpenAI

Codex App Launches Windows PC Control and Cross-Device Remote Control Features

OpenAI's Agent tool Codex App has officially unlocked computer usage capabilities on Windows, allowing direct manipulation of desktop applications through screen visuals, mouse clicks, and keyboard inputs. It also introduces cross-device remote control, enabling developers to dispatch tasks to Windows devices from Mac or mobile ChatGPT and monitor progress in real-time. The new Profile panel integrates a real-time audit chart for Token consumption.

Why it matters: This is a pivotal step in the evolution of AI Agents from "conversational assistants" to "physical world operators." The cross-device remote control capability truly positions AI as a multi-platform productivity tool.

#Codex #OpenAI #AI #Agent #ArtificialIntelligence

$HMSTR Recently getting a bit interesting—following Magma Finance, it surged 20%. The underlying logic is that its g-token has been included in the popular copy-trading list, along with the continued push from the CODEX ecosystem.

Current price is $0.00019, market cap is about $12 million. 24h trading volume is $6.11 million. Judging from the data, capital still appears to be flowing in.

A small market cap + an ecosystem narrative + exposure from copy-trading—this kind of combination often amplifies short-term sentiment. The real thing to watch is whether the CODEX ecosystem can consistently bring real use cases to the g-token, or if it’s just a one-off hype cycle.

Sentiment rallies can come fast and leave just as fast—make sure you know your position sizing and take-profit line yourself.

#HamsterKombat #CODEX

$HMSTR quietly surged 20%; many people still haven’t reacted.

This time isn’t just pure meme momentum—it’s moving along with Magma Finance. The g-token has been placed into the trending copy-trading leaderboard, and clearly, liquidity from the CODEX ecosystem is flowing toward this direction.

Current price: $0.00019. Market cap: just $12 million. 24h trading volume: $6.11 million. The turnover rate isn’t low either. With a small market cap, an ecosystem narrative, and copy-trading exposure—all three legs are in place—short-term upside has more elasticity than it looks.

Risks are also straightforward: the Hamster Kombat narrative is relatively thin by itself and relies heavily on external ecosystem momentum. If Magma’s pace slows or breaks, pullbacks can happen quickly. If you want to get involved, mark your stop-loss clearly—don’t carry it on faith.

#HMSTR #CODEX #on-chain copy-trading

$HMSTR quietly followed Magma Finance and surged 20%. This wave isn’t mindless FOMO.

If you break down the logic, it’s actually pretty clear: Hamster’s g-token was placed into the trending copy-trading list, while the CODEX ecosystem keeps “feeding” it in the background. Naturally, capital is more willing to bet early on assets that have been “exposed.”

On the data side: the current price is about $0.00019, with $6.11 million in 24h trading volume and a market cap of $12 million. The ratio of market cap to trading volume suggests the capital rotation efficiency isn’t low, and the short-term upside volatility is noticeably stronger than that of older GameFi tokens with similar market caps.

My view is that $HMSTR is currently more like an emotion proxy for the CODEX sector. As long as Magma and the copy-trading narrative don’t go out, there’s a window for a second ignition; conversely, if the main trend weakens, the pullback will be just as decisive.

Instead of obsessing over the K-line, focus on changes in its position on the copy-trading leaderboard and any new moves from CODEX.

#HMSTR #CODEX #GameFi

Hamster Kombat has been seeing a lot of action recently. After $HMSTR teamed up with Magma Finance, it surged 20%. The underlying logic isn’t complicated: its g-token gets listed on a trending copy-trading leaderboard, and with CODEX ecosystem’s continued support, short-term capital sentiment gets ignited.

Current price is about 0.00019, with a 24h trading volume of 6.05 million and a market cap of around 12 million. A relatively small market cap also means higher volatility—when price action is driven by sentiment, it often moves quickly and disappears just as fast.

I’m paying attention to two things: first, whether the CODEX ecosystem can continue to funnel users to it; second, whether the capital brought in by the copy-trading leaderboard is speculative or stickier (retention-oriented). If it’s only a temporary burst of hype, the probability of a pullback isn’t low; if the ecosystem narrative continues, then it has room for a medium-term outlook.

Observe with a small position—don’t let the 20% gain go to your head.

#HamsterKombat #CODEX

$HMSTR surged 20% suddenly, and moved in sync with Magma Finance—this linkage isn’t a coincidence.

The underlying logic is actually pretty clear: g-token was added to the popular copy-trading list, and with CODEX ecosystem’s ongoing user inflow, short-term capital has started to watch this former Meme flagship again.

Current data:
· Price $0.00019
· 24h trading volume $6.05 million
· Market cap $12.03 million

Once the market cap is compressed into the ten-million range, any marginal change in ecosystem narrative will be amplified. What copy-trading mechanisms bring is passive buying pressure, and the strength of CODEX’s correlation determines whether the move can transition from "short-term sentiment" to "capital staying power".

We also need to call out the risks: Hamster Kombat’s token-holding structure is relatively dispersed, and a 20% gain in low market-cap coins isn’t necessarily a strong signal. Before chasing, check whether the trading volume can continue.

In the short term, watch the synchronized move with Magma Finance. If that side loses momentum, HMSTR will most likely follow with a pullback.

#HMSTR #CODEX

$HMSTR 单日拉升 20%，与 Magma Finance 同频共振，背后推手值得拆解。

Core logic has two parts:
1) Its g-token has been added to the popular copy-trading watchlist, and short-term capital’s willingness to follow has clearly strengthened;
2) Ongoing traffic routing from the CODEX ecosystem is shifting Hamster Kombat from a pure Tap-to-Earn narrative into real interactive use-case scenarios.

Current data snapshot:
· Price $0.00019
· 24h trading volume $6.05 million
· Market cap $12.03 million

With market cap at less than twice the trading volume, turnover is extremely active—indicating that holdings are changing hands rapidly. This structure offers strong short-term upside, but it also means that if copy-trading hype cools off, pullbacks can be just as decisive. Don’t hold on with a long-term mindset to muscle through short-term volatility.

Personal take: Treat it as a CODEX ecosystem beta to track—it's clearer than just watching the coin. As long as ecosystem heat is there, the thesis is there; if the ecosystem goes quiet, exit first.

#HMSTR #CODEX #copy-trading transactions

$HMSTR quietly surged by 20%; many people still haven’t reacted yet.

This isn’t a hollow pump—g-token has been included in the popular copy-trading list. Combined with the push from the CODEX ecosystem, it has moved in tandem with Magma Finance to strengthen together, and you can clearly see capital rotating in.

Current price is $0.00019, market cap is $12 million, and 24h trading volume is $6 million. Market cap and trading volume are almost even, indicating that the float is being turned over quickly. Sentiment is heating up, but the market cap is still relatively light.

With a small market cap + narrative catalysts + copy-trading inflow, there’s enough upside elasticity for the short term—but don’t forget that pullbacks for this kind of token can be just as brutal. Control your position size and don’t take the last step-buy at the emotional peak.

#HMSTR #CODEX

To activate codex you need to receive a text message, you can contact me to get a SIM card #codex #agent #giffgaff

OpenAI releases Codex /goal guide: AI programming shifts from writing code to managing executors

OpenAI officially released the Codex /goal mode usage guide, redefining AI programming tools as a "long-term task management mechanism." In /goal mode, Codex can work continuously for dozens or even hundreds of hours around clear objectives without requiring human intervention in every round.

Key points: Setting verifiable exit criteria (like "reduce deployment time by 30%") is more important than writing lengthy prompts; visual tasks are the easiest for AI to get bogged down in details; it’s crucial to provide Codex with a real environment and progress tracking tools. AI programming is moving from "writing prompts" to "managing a continuously working engineering executor."

Why it matters: This represents a fundamental shift in the role of AI programming tools—the core capability of developers is no longer generating code, but defining measurement systems for goals, configuring execution environments, and ultimately conducting reviews.

#OpenAI #Codex #AI编程 #开发者工具 #AI

🦞 Hermes Shrimp Farming Chronicles
🛠 Remote Operation with Codex

Now Hermes can remotely operate Codex.

The interesting part is not just "remotely controlling Codex", but how it connects tasks, context, execution, and result feedback into a complete chain.
If the permission boundaries are designed correctly, Hermes + Codex becomes more than just a chat window with remote desktop; it’s a workflow tailored for heavy developers.

I think it has four main advantages:

1. Seamless cross-device operation
Whether you're out and about, at a secondary workstation, or just don’t have your primary development machine handy, you can still push the same task forward without waiting to get back to your computer.

2. Lighter local load
Many tasks actually don’t require you to have the entire environment set up on your local machine. The heavy lifting—like reading repositories, modifying files, running tests, and organizing outputs—is better handled by remote machines running continuously.

3. More concentrated context
In the past, it was often "discussing requirements in chat, running commands in terminal, editing code in the editor, and manually pasting results back in". Now, if Hermes takes on the tasks and Codex handles execution, the chain flows much smoother.

4. Better for long-running tasks
Tasks like scanning large repositories, bulk configuration changes, documentation updates, running scripts, and fixing multiple small issues are not things that can be wrapped up in just a few minutes; a remote workflow can be more comfortable than switching back and forth locally.

On security, I believe it’s the focus, not just an ancillary item.

1. Minimum permissions must be established first
Only open the directories and commands needed for the task at hand; don’t grant full read/write access right off the bat.

2. Sensitive information should be isolated
API Keys, database credentials, private keys, production environment configurations should not be defaulted in persistent sessions. If environments can be split, they should be.

3. High-risk operations should ideally require manual confirmation
For actions like deleting files, large-scale overwrites, network downloads and execution, changing production configurations, and pushing deployments, it’s best to have a human sign off at the end.

4. Logging is essential
Who issued the task, what was modified, what commands were run, and what the results were—having this traceability is crucial; the more convenient remote operations become, the easier it is to lose control later.

If you really want to start using this, I think a stable approach would be:

1. Prepare the remote environment first
Set up the repositories, dependencies, and runtime environments ahead of time; clearly define the working directory and writable scope.

2. Then define the boundaries
Tell Hermes / Codex where it can read, where it can write, whether it can access the internet, and which operations must require confirmation.

3. Start with small tasks
Don’t jump straight into making it modify dozens of files. Let it start with read-only analysis or change a very small point to see if the behavior meets expectations.

4. Scale up to the real workflow
Once the boundaries are stable, let it handle multiple file modifications, script executions, testing, and result organization.

The real value of Hermes remotely operating Codex lies not in "showing off skills", but in compressing the switching between multiple devices, executing long tasks, and result feedback into a stable workflow. If you’re already frequently switching between devices or have many fragmented long development tasks, once this line is smoothed out, it can easily become your mainstay.

#Hermes #Codex #AIAgent #远程开发 #ShrimpFarmingChronicles

Ever since I started with $200 a month on #codex

My daily status is as follows👇

Skipping meals, losing sleep, just executing trades🥳

ChatGPT Pro #codex is totally underutilized, and it hasn't even been a week yet; my limit refreshed early...
Feels like not using it is just wasting opportunity~ time to double down!