Our CEO, Dr. @bengoertzel, has responded to the @BernieSanders–Casar “Ban Artificial Superintelligence Act,” which would permanently prohibit the development and deployment of superintelligent AI, pause advanced AI development pending federal review, and direct US foreign policy toward preventing superintelligence from being built anywhere in the world.
The legislation focuses on the concentration of frontier AI development among a small number of large corporations. Dr. Goertzel agrees that this concentration creates a problem and supports external audits, incident reporting, and independent technical oversight. He disagrees with prohibition as the response.
AGI development does not depend on a scarce physical resource that can be controlled through international agreements. The research consists of mathematics, software, published algorithms, and commodity hardware. A global ban would therefore require surveillance of general-purpose computing while leaving states, military programs, and other actors outside that system able to continue their work.
The effect on open development is a central concern. A ban carrying severe criminal penalties would be easier to enforce against researchers who publish their work, open-source their code, and collaborate across institutions than against programs operating in secret. “It selectively destroys the development that is visible, which is to say, the open, decentralized, academically published, internationally collaborative work, while leaving intact the development that is hidden.”
The proposed pause on advanced AI development raises another issue. Establishing a new federal agency and review process could favor companies with large compliance teams and existing relationships with regulators. The result could be greater advantage for the same incumbents the legislation seeks to constrain.
Dr. Goertzel proposes a different approach centered on public compute, open development, external oversight, cognitive-liberty protections, and mechanisms for distributing AI-generated economic gains. The question he puts forward is “under whose control, with what values, and toward whose benefit.”
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news9/7news
Our CEO, Dr. @bengoertzel, has responded to the @BernieSanders–Casar “Ban Artificial Superintelligence Act,” which would permanently prohibit the development and deployment of superintelligent AI, pause advanced AI development pending federal review, and direct US foreign policy toward preventing superintelligence from being built anywhere in the world.
The legislation focuses on the concentration of frontier AI development among a small number of large corporations. Dr. Goertzel agrees that this concentration creates a problem and supports external audits, incident reporting, and independent technical oversight. He disagrees with prohibition as the response.
AGI development does not depend on a scarce physical resource that can be controlled through international agreements. The research consists of mathematics, software, published algorithms, and commodity hardware. A global ban would therefore require surveillance of general-purpose computing while leaving states, military programs, and other actors outside that system able to continue their work.
The effect on open development is a central concern. A ban carrying severe criminal penalties would be easier to enforce against researchers who publish their work, open-source their code, and collaborate across institutions than against programs operating in secret. “It selectively destroys the development that is visible, which is to say, the open, decentralized, academically published, internationally collaborative work, while leaving intact the development that is hidden.”
The proposed pause on advanced AI development raises another issue. Establishing a new federal agency and review process could favor companies with large compliance teams and existing relationships with regulators. The result could be greater advantage for the same incumbents the legislation seeks to constrain.
Dr. Goertzel proposes a different approach centered on public compute, open development, external oversight, cognitive-liberty protections, and mechanisms for distributing AI-generated economic gains. The question he puts forward is “under whose control, with what values, and toward whose benefit.”
55·BShort
m
meme9/7meme
quote: .#TRONEco continues its upward trajectory this week, driven by surging transfer volumes, record-breaking AI token throughput, and robust network liquidity.
On the infrastructure side, global installations for BitTorrent climbed to 585,529,866, with $BTT staking APY on #BTTC reaching 6.43%.
Dive into the full weekly report below. | TRON Eco Weekly Recap | Aug 31 to Sep 6
TRON Eco continued to gain momentum last week, with TRON’s $USDT supply increasing by another $4B in August to surpass $94.27B, while @DeFi_JUST’s GasFree recorded $13.62B+ in monthly transfer volume, 818K+ transactions, and 437K+ users.
@OfficialSUNio hosted two Spaces exploring AI infrastructure and stablecoin user experiences. @BitTorrent reached 585,529,866 global installations, while @WinkLink_Oracle’s $WIN saw $883.77K in supply and $2.93K in total borrows on #JustLendDAO.
Meanwhile, @AINFTcom continued advancing AI and Web3 initiatives, while @BAI_AGI surpassed 2.3M users, processed 10.9T+ tokens during its free promotion, and hit a record 1.33T daily token throughput.
And that’s not all. Take a look at the recap below for more from across #TRONEco. ⤵️
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🚀Week of Sep 1–Sep 7
This week in AI got louder and faster. A new flagship model started rewriting itself. AGI was declared by people who sell the hardware. The biggest open-source hub was bought. Releases now land every 11 days.☄️
Beneath the noise, one signal is clear: capability is racing ahead of agreement on what it is, who owns it, and who can keep up.
Full breakdowns in the comments. Come see.
#OpenAI #AIModels #AIAgent #DeAgentAI #AIA
Meritz Securities (Korean sell side): GPT-6 Astra launch and implications for the memory stock rebound
On September 3, OpenAI unveiled GPT-6 Astra. As interpretations of this model became a hot topic, semiconductor stocks rebounded on September 4 even as the broader US market fell on rising rates following a jobs surprise, with the DRAM ETF up 6.6% versus the prior day.
Astra's implication is unlikely to be simply whether AGI has been achieved. What drew the most attention was the score of 99.9% on ARC-AGI-3, a benchmark used to judge AGI, a huge improvement over the previous model (Sol at 7.8%). This benchmark is not a knowledge test; it evaluates a model's ability to learn on its own in an abstract environment it has never seen before, and this is where the improvement over the previous model was large. General intelligence, as measured by AAII or Humanity's Last Exam, did not improve much.
The differentiated strength improved in Astra is "the ability to acquire skills that humans learn in an unfamiliar environment as efficiently as a human does." Where AI until now found the answer by pressing this and that 100 times, Astra has started to behave more like a human: observing the phenomenon, inferring the rules, and executing right away.
The key point is "an expanded scope for replacing human intelligence and human work." If existing AI was an AI that told you what to do, Astra is closer to an AI that, given only a goal, uses the computer directly and produces the result all the way to the end. In other words, an easy to use OpenAI model has begun to handle on its own part of the agent orchestration layer that had been the domain of less accessible tools such as OpenClaw. For users, the barrier to entry for AI agents has been lowered, meaning more work can be handed over.
Expansion of AI workloads
Astra naturally also comes with efficiency gains that lower the token cost per task versus the previous model. This is a trend across the AI industry as a whole, and if AI workloads were fixed, demand for AI data centers would have to plunge.
The reason Jevons paradox continues to operate even after token price declines became a trend following the rise of Chinese models is that AI technological progress also expands the workload. What Astra's technological progress means is that where humans used to hand five minute, ten minute, and twenty minute tasks to AI, as AI performance improves and token prices get cheaper there is more to hand over, such as one hour and 24 hour tasks.
Just as news flow about rising GPU rental prices has spread since Astra's arrival, it must be understood that falling AI token prices do not necessarily shrink or slow the AI hardware TAM. Rather, one should recognize that the emergence of a model like Astra can create another inflection point for the AI industry and structurally grow AI demand.
Our understanding is that since early July, as the pace of GPU rental price increases slowed and token prices fell, a long IGV (software) / short SOX (semiconductors) pair trade has persisted in the US. This is because falling token prices were interpreted as positive for software, where tokens are a cost, but negative for infrastructure.
If progress in models like Astra structurally spreads AI workloads and GPU rental prices begin to respond again, the perception that falling token prices are bad news for AI infrastructure companies could weaken (on 9/4 the DRAM ETF rebounded while IGV fell).
As we have argued consistently, the issues accumulating in the AI industry since June (the proliferation of open models, this GPT-6 Astra release, and so on) are, in our interpretation, positive catalysts that generate new demand for AI infrastructure and hardware that did not exist before. We think that in a phase where rates are rising overall and liquidity is becoming scarce, these accumulated positives are not being reflected.
The stock market in September is still uncomfortable with high rates, and within the Korean market there remain hurdles to get through, including digesting a round of earnings estimate cuts driven by the sharp won appreciation before the 3Q26 preview season. There is still discomfort standing in the way of the accumulated positives being reflected in a sustained trend. Overall, we continue to view the market conservatively.
Even so, as emphasized in our September strategy, we believe one should not substantially empty out positions in core AI infrastructure stocks centered on memory. Positive catalysts not reflected in share prices are accumulating. While our baseline is conservative through mid October, one should keep the upside risk open that the trend, led by AI and semiconductor leaders, could turn at any time, even before October.
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Jensen Huang says 'AGI has arrived' and congratulates OpenAI
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news9/6news
Jensen Huang says 'AGI has arrived' and congratulates OpenAI
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meme9/6meme
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.
AGI has arrived. Congratulations @OpenAI team.
400K GPUs coming online next.
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JUST IN: Nvidia CEO says "AGI has arrived".
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BREAKING: @nvidia CEO @JensenHuang DECLARES “AGI HAS ARRIVED”
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This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS
🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM
🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto.
🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains.
🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA.
🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint.
🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next.
🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps.
🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership.
🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming.
🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees.
🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad.
🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply.
🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token.
🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi.
🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers.
🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP.
🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own.
🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%.
🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order.
🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher.
🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up.
🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools.
🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players.
🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin.
🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes.
🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back.
🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them.
🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS
🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition.
🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year.
🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them.
🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.
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news9/6news
This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS 🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM 🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto. 🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains. 🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA. 🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint. 🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next. 🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps. 🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership. 🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming. 🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees. 🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad. 🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply. 🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token. 🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi. 🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers. 🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP. 🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own. 🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%. 🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order. 🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher. 🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up. 🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools. 🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players. 🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin. 🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes. 🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back. 🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them. 🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS 🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition. 🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year. 🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them. 🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.
75·ALong
n
news9/6news
This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS
🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now Virtuals Protocol.
🟩 @coinbureau called Virtuals "an entire nation for AI agents, complete with identity, banking, commerce and capital markets," where every agent gets a wallet, a card and an email, and can hire, pay and evaluate other agents.
ECOSYSTEM
🟩 @GoMintly took its agent-managed LP vaults from NVDA and SPCX to the whole index via SPY, then to $MEME, all on @RobinhoodCrypto.
🟩 @ProjectVEXai gave its agents onchain capital access and now trades across @RobinhoodApp, @solana, @arbitrum and 7 more chains.
🟩 @PlayKindra shipped HoodExplorer for Robinhood Chain and routes 90% of its swap fees into buying and burning KINDRA.
🟩 @WizzHQ minted Wizz Units, 2,345 PFPs on Robinhood Chain, clearing 100 in five minutes after fully refunding the paused mint.
🟩 @grid_arena launched Grid v2, one arena for crypto, stocks and prediction markets, with agent Autopilot coming next.
🟩 @useOttoAI has settled 171,539 paid x402 calls on @base and soft launched Otto Stocks for weekend equity gaps.
🟩 @tradeongtr added $BMNR and $SHEIN markets and routed over $180K through its @openfinancelabs partnership.
🟩 @ethy_agent crossed $10M in agent volume only days after passing $6M, and has a private beta of its next build incoming.
🟩 @KarmaWallet crossed $6M total volume after daily volume jumped almost 200% in two days, and Karma Verified now gives 24 hours of zero fees.
🟩 @wardenprotocol ran its first HALO buyback and burn, torching 219,944 HALO, and announced a Token Terminal and Launchpad.
🟩 @reppo launched its Eval API on Base, where 1,000 staked EVAL unlocks up to $1 a day of credits, and burned about 2% of supply.
🟩 @myrad_hq ran its first burn, 7M MYRAD or 0.7% of supply, and now pays epoch evaluators in USDC instead of its own token.
🟩 @mamo has distributed $638K in total rewards, with MAMO now paired against 17 assets on @AerodromeFi.
🟩 @commonsmade hit record usage, 1.3B AI tokens spent in one day against a 2B target, and routed $20K to stakers.
🟩 @OpenGradient has processed 3.32B tokens across 562,860 inferences, every prompt encrypted on device and relayed over OHTTP.
🟩 @Bowyer_App has 28 agents live, and five were specced and launched by another agent scanning GitHub on its own.
🟩 @Wall3_RL's agent called the September rate cut repricing, with CME odds moving 41% to 60% and Polymarket 30% to 52%.
🟩 @bleeep_xyz turned on Agent Automation, where a signed mandate caps capital, daily stop and duration before a single order.
🟩 @sibyl_labs_ closed hackathon registration at 453 builders, and @base is now sponsoring a startup accelerator entry for a top two finisher.
🟩 @RatehopperAI brought LP agents to @base on WETH/USDC as Season 0 wraps up.
🟩 @vantis_ai made its trading engine performance public and previewed an x402 terminal that can LP into Uniswap pools.
🟩 @officialbunnyos turned on Play-to-Earn and its human interface within a week, and is closing in on 500 players.
🟩 @vimenprotocol closed its first USDG payout cycles and now mints baskets from Ethereum, @base, @arbitrum, @solana or Bitcoin.
🟩 @Fletcher_cards put its gacha machines live on @base and BNB Chain, and is opening a TCG Index Launcher for card-backed indexes.
🟩 @PrivacyHood shipped merchant refunds as claim links, plus a printed paper recovery slip its stealth till makes you type back.
🟩 @axol_io routed Raxol agents through @xochi_fi's new TRON support, opening the deepest USDT corridor in crypto to them.
🟩 @Vader_AI_ is running EgoPlay on fixed tasks in changing settings, so every egocentric clip it collects stays comparable.
ROBOTICS
🟩 @pabsclimbs landed in Nepal with Pemba clearing customs, and opened community funding for open-source partners on the $PEAK expedition.
🟩 @xmaquina put its incubated @roboticomarket live and logged 22,000 humanoid units shipped in H1 2026, up 300% year on year.
🟩 @openmind_agi published PHASOR, mapping different humanoid bodies into one shared motion space so behaviour transfers between them.
🟩 @StrikeRobot_ai got DSC Labs, its robotics R&D arm, into @nvidia Inception and cut SR Platform layouts to under five minutes.