Igo

[Hera @HeraAggregator]

development progress update ☑️

pipeline items close to done 👇
▪️ finishing the flow for integrated but not yet connected MMs
▪️ bringing new liquidity sources online
▪️ fixing two minor anomalies found in the fetching modules
▪️ improving the math for cases where the same source is used more than twice in routing
▪️ shipping a few small UI updates

major work still in progress 👇
▫️ programs + tx design + fallback flow
▫️ targeting optimal execution under v0 constraints
▫️ preparing the layer for the potential v1 transaction architecture
▫️ pushing route and call optimization even further
▫️ reducing centralization tradeoff risk and designing alternative relayer strategies

also in motion - side developments👇
▫️ infra improvements across the full VM stack
▫️ building clawbot, externally trained but powered by Hera data, for isolated review and improvement flows across all versions
▫️ moving propAMM strategy toward a fully verified model
▫️ redesigning the interchain architecture at a much broader level

no pain, no gain 😏

[Hera @HeraAggregator]

After a long wait,
Hera V3 beta is finally live on @solana 🔔

During beta, you can jump into the interface, check routes and quotes, and feed us with your feedback. Execution will stay disabled for now, and both the pathfinder and the UI will keep getting better every single day.

Bad routes, broken stuff, weird behavior, or anything you think should be improved, all of it is valuable.

Take a look now: https://t.co/KztpXoRu1Q ✅

[Hera @HeraAggregator]

We’re back, fam! 😝✊

The past month’s been rough with some serious family health stuff on the core-dev side, but the Hera Solana grind never stopped. Here’s where we’re at right now 👇

> AMM integrations took way longer than expected, but they’re finally wrapped. Private AMMs were definitely the grindy part. New liquidity sources keep popping up daily, so we’re staying aggressive about keeping everything synced and active.

> With @solana DEX aggregator competition heating up, we pushed multiple routing + pathfinder algorithm upgrades. The ecosystem is moving fast, and our internal LLM-driven architecture has been a huge edge for nasty edge cases.

> Now moving into execution testing. Core programs are entering the final SVM-ready stage, IDLs are getting locked in, and we’ve got extra security programs lined up for reviews. Hera has never been tied to even a minor exploit, and we plan to keep it that way.

> We also built a full simulator environment for quote comparisons and swap stress tests. Parallel execution is being tuned hard: low latency, clean quotes, solid execution paths, compute-efficient routing.

> UI is basically there. The full pathfinder <-> frontend integration is complete: API quotes, route parsing, and request structures are now fully aligned. What’s left is mostly deployment polish.

> Infra is locked in: Kubernetes architecture, AWS autoscaling/LBs + CF shielding, plus blackhole-style rules against hostile traffic. Pathfinder can scale up or down purely based on demand.

> Quote manager is ready. Every UI/API request flows through the internal AI operator layer before execution, fully modular and designed around the pathfinder core, CPI flows, and program interfaces.

> Route selector is also live. Users can directly control routing behavior: prioritize speed, maximize output, or just stick to the default path. One of our key UX features, and it’s ready.

We won’t claim always best quotes, real markets have too many variables. But we will ship a protocol that never stops hunting for the best execution.

Targeting an execution-disabled UI release in Feb: closed environment, live conditions, real community feedback. After that, official mainnet deployment is the only step left.

More updates soon. Loud phase incoming! 🌋

[Igo @igorbienkiewicz]

@M_Jozefaciuk Nie spodziewałem się tak dobrego wpisu od Pana. Chapeau bas!

[AVM @avm_codes]

You’ve built your agent.

Now you face package version conflicts and environment mismatches.

$AVM solves this with isolated environments that spin up, execute and tear down constantly, no state bleed, just execution.

[DEXLaboratory @DEXLaboratory4]

I'm not going to argue on this - keeping my full stack of $TAO.

I'm at approx 120% of my initially desired amount, so went over a bit due to discounts.

Despite the massive drop in price since last rally to $500~ to $220~ I remain bullish on Bittensor long time-frame.

The trader in me was saying full-clip it past $500 due to low gas tank it shown on various timeframes and general sentiment, so could've doubled the stack by now, but who knows what would've happened - this bag was not for trading, but the 20% extra will be to multiply the amount of $TAO over time.

[Igo @igorbienkiewicz]

@toniezg86 @DnaRynkow @Longterm44 Bo pan intelektualista jesteś a nas gawiedź bawi taka przaśna rozrywka. Pioter, tak trzymaj 🙌🏻

[AVM @avm_codes]

Rigid architectures can't handle dynamic agent orchestration.

Most AI leaders say integrating agents with legacy infrastructure is their biggest barrier to adoption.

AVM’s purpose-built execution platform adapts in real-time!

[AVM @avm_codes]

AVM in a nutshell

[tao.bot (τ, τ) @taodotbot]

🧠 TAO Halving: 5 Things to Know (in ~5 days)

1️⃣ What is the $TAO halving?
A programmed ~50% cut in block rewards. Daily emissions drop from 7,200 → 3,600 TAO, slowing how much new supply enters the network.

2️⃣ When is it happening?
Estimated to land in ~5–6 days, around mid-December, based on current emission progress and community trackers.

3️⃣ Does it change max supply?
No. Max supply remains 21M TAO—the halving only changes the rate at which new TAO is minted.

4️⃣ How does it affect subnets?
Less fresh TAO flows into subnet rewards and liquidity. Under TaoFlow, emissions follow net TAO inflows, so subnets that consistently attract stake and usage are better positioned than those living off old momentum.

5️⃣ What does it mean for stakers and validators?
Over time, the same stake competes for fewer emissions. Validator performance, fee structure, and subnet selection matter more as rewards compress.

We’ll share more once the halving lands and its effects start to show on-chain.

[DEXLaboratory @DEXLaboratory4]

$TAO halving incoming in less than a week

Check $TAOBOT post about most important information about it

Meanwhile Taobot is prepping for something awesome to land surrounding TAO as they keep #1 Validator size position on Bittensor.

[Mac @MacVerticalAI]

Vertical Stream V2 drops 15 December.

One chat, access to all your LLMs, a smooth context-aware interface, powerful image editing &amp; generation, and video generation from text or image.

All for just €8/month.

#OpenAI #Gemini #Claude #Grok #Imagen #FLUX #Veo #Sora #Nano

[Vertical AI @Build_Vertical]

Vertical Weekly Recap ⚡️

◻️ Stream V2 Launches December 15

The next evolution of Stream is almost here!

Cheaper, faster, and built around a context-aware agentic chat that simplifies the entire AI workflow

◻️ Features Shipping with V2

Stream V2 will launch with:
- A conversational agent with real tools
- One chat interface for everything
- Smarter task routing
- Built-in cost control
- Cheaper by design
- Transparent pricing

◻️ The $5,000 Treasure Hunt Begins

The hunt officially kicked off today

Clues for the $5000 vault are scattered across the Vertical Universe

Make sure you’re checking all official channels, AMAs, Telegram bios, and more. Stay alert and good luck

[AVM @avm_codes]

📌V2 Development Update

BACKEND
✅ Free plan sandbox limits on resources and total instances are now enforced
✅ File upload/download fully supported

FRONTEND
✅ Improved validation during sandbox creation
✅Environment variables now work similar to Vercel (Pro mode + key:value pairs)

UX
✅ Embedded shell style terminal to interact directly with the sandbox in-app
✅ Built-in file browser to explore the sandbox file system
✅Upload and download files directly from the UI

👉 You can test all of this here https://t.co/zP1laHbpAg

[Igo @igorbienkiewicz]

@HeraAggregator @molusol @solana Finally 🤞🏻

[Mark T. @MarkTbuilds]

With Stream V2 launching soon

Studio V1.5 in development

+ credit &amp; referral rev-share staking around the corner

@Build_Vertical is about to offer one of the strongest utility token value propositions in AI 🤝

See you on the next stream @youfadedwealth

[AVM @avm_codes]

1/ We didn't need lightning-fast, secure code execution environments until AI agents arrived.

Now we do.

Agents generate unpredictable code in real-time. They need to execute it instantly, safely, AND at scale.

Here's why VMs and containers both fall short, and why sandboxes are exactly what agents need 👇

[AVM @avm_codes]

A press release from @Gartner_inc predicts "by [the] end of 2025, the vast majority of enterprise apps will have embedded AI assistants"

If they don't, they're at risk of being outpaced by competition.

https://t.co/70wCVsZkbN

The infrastructure for these companies to achieve the +$450B "New Normal" doesn't exist yet, and that's exactly what AVM's building: the rails for it all to be possible.

[DEXLaboratory @DEXLaboratory4]

A quick TL;DR for $VERTAI

&gt; CEX listing looks imminent (T1 pls)
&gt; Capturing larger presence on @base via increased LP
&gt; v3 migration is ment to increase liquidity efficiency and let other market participants provide it within desired price frames

Bullish for me

[AVM @avm_codes]

The conferences we attended over the last few months showed us we're still ahead of the curve.

Our goal is simple: 'to run applications consistently and efficiently, no matter where they're deployed.'

You'd think that's already the norm, but the world of developing agents is still far from it👇

https://t.co/SG3B800oFA