DEV Community: danio

Copilot Just Billed $750 for What Cost $29, Gemini Now Reads Your Gmail, and AI Funded a $1B Retraining Push — AI News Jun 30

danio — Tue, 30 Jun 2026 11:53:27 +0000

Three moves. Same companies. Your inbox, your IDE, your next job.

① Google Gemini now reads your Gmail and Calendar overnight
An agent called Gemini Spark runs while you sleep, pulling emails, meetings, and tasks into a single morning card delivered to your inbox. Instead of opening 47 unread emails, you wake up to one brief with what actually matters today. Available to Google AI Plus, Pro, and Ultra subscribers in the US.

This is proactive ambient AI — not a chatbot you query, but an agent that works overnight and reports back. The question for builders: how do you compete with an AI that already knows what your user needs before they open the app?

Source: 9to5Google — Google Gemini Daily Brief / Spark

② GitHub Copilot's first agentic billing cycle just closed
Some developers are now looking at a $750 bill for what cost $29 a month flat. One agentic task can consume up to 1,000x more tokens than a regular query — and power users are seeing 60x the old rate. The shift from flat-rate to token-based billing is real, and it hit fast.

Cursor, Claude Code, and Codeium are picking up the developers who can't absorb the jump. If you're building on top of Copilot or evaluating AI coding tools for your team, now is the time to model your actual token usage against the new rates.

Source: TechCrunch — GitHub Copilot agentic billing

③ AI companies cut 87,714 US jobs in 2026 — then pledged $1B to retrain them
RAISE US launched June 25, backed by OpenAI, Anthropic, Amazon, and Microsoft. $500 million raised so far toward a $1 billion target. Programs cover apprenticeships, career navigation, wage insurance, and employer retraining incentives. The first states in the program: Arkansas, Connecticut, Maryland, and Utah.

Customer support, QA, content moderation, and entry-level coding are the roles going first. The same companies whose AI is displacing those roles are now the primary funders of the retraining programs — and the organizations that will deliver the daily brief those workers wake up to.

Source: Fortune — RAISE US AI workforce retraining

The same companies reading your inbox, billing your code sessions, and replacing your coworkers are now funding your retraining and owning your daily schedule.

AI news filtered for builders → @danioff_en on YouTube

Ford Called Them Back, AI Is Now the #1 Layoff Reason, and GPT-5.6 Sol Is Government-Gated — AI News Jun 29

danio — Mon, 29 Jun 2026 11:33:24 +0000

Three AI moves hitting your workforce, your factory floor, and your API access:

① AI is now the #1 reason companies give for layoffs
267 layoff events in 2026. 185,894 workers cut — that's 1,044 jobs disappearing every single day. 56pct of those events explicitly cite AI, automation, or machine learning as a contributing factor (150 events, 156,270 workers). Oracle alone cut 30,000 people — not because of financial weakness, but to reallocate toward AI infrastructure.

Entry-level software dev employment is down 20pct from its 2022 peak. The jobs that are growing: AI infrastructure engineers, safety researchers, and domain veterans with physical intuition AI can't replicate.

Source: TechCrunch — Running list of AI-driven layoffs 2026

② Ford replaced 350 veteran engineers with AI — then hired them back
Ford CEO Jim Farley bet on AI to replace institutional knowledge. Ford VP Charles Poon admitted the flaw publicly: the automated systems were trained on information that walked out the door with the veteran engineers.

The result: 51 recalls in 2026, covering more than 11 million vehicles — more than double the next-closest manufacturer.

The correction: Ford rehired 350 veteran engineers over three years. They rebuilt data pipelines, mentored junior staff, and added 100,000 new AI-powered stress tests — this time guided by human veterans. Ford hit #1 in JD Power's 2026 initial quality rankings and cut costs by over $1B.

Source: Bloomberg — Ford Has Been Rehiring Quality Inspectors After AI Fell Short

③ OpenAI's GPT-5.6 Sol is their strongest model yet — and the US government controls who gets it
GPT-5.6 comes in three tiers: Sol (flagship, full agentic sub-agents, max reasoning), Terra (matches GPT-5.5 at lower cost), Luna (fastest and cheapest). Sol carries OpenAI's strongest safety architecture to date.

The catch: Sol access is restricted to roughly 20 government-approved partners. A Trump administration executive order (June 2) established a framework requiring federal assessment before frontier AI with advanced cyber capabilities launches broadly. OpenAI has pushed back — they've said restrictions "shouldn't be the norm" — but broader API access is coming, not here yet.

Source: TechCrunch — OpenAI limits GPT-5.6 rollout after government request

The pattern across all three: capability without institutional knowledge — or institutional guardrails — breaks things at scale. Ford's recalls proved it. The layoff data shows it in workforce outcomes. And a government-gated Sol makes it explicit for frontier models.

AI news filtered for builders → @danioff_en on YouTube

ChatGPT Just Read My Bank Statement, GPT-5.6 Got White-Housed, and Japan Dropped $70M on Anime Subs — AI News Jun 28

danio — Sun, 28 Jun 2026 04:01:00 +0000

Three AI moves hitting your bank, your government's security table, and your anime queue:

① ChatGPT's Personal Finance feature opens to all Plus subscribers
ChatGPT's personal finance feature — previously Pro-only — is now available to all $20/month Plus subscribers. Using Plaid, you can connect 12,000+ financial institutions. Ask it "where did my money go this month?" and it reads your transactions and answers in plain language.

Before you link: check the privacy settings. Connecting a bank account to any AI is a real security decision, not a convenience upgrade.

② OpenAI built GPT-5.6 Sol, Terra, and Luna — the White House said "not yet"
OpenAI shipped three new models: Sol, Terra, and Luna. Then the White House requested restricted access. Sol reportedly matches Mythos 5 in cyber capability — that's the bar the US government set for flagging models.

We've seen this before: Anthropic's Fable 5 was blocked in June, then Mythos 5 got a partial lift days later. OpenAI themselves said "we don't believe this should become the long-term default." Pricing is already public (Luna: $1/M tokens, Sol: $5/M). GA expected within weeks.

③ Japan's government is paying $70M to speed up anime subtitles with AI
Official anime translations take weeks or months. Fan subs drop the same day. That gap cost the industry an estimated ¥5.7 trillion in piracy losses in 2025 alone.

Japan's METI is putting up $70M USD (¥11.5B) to cover 50% of AI translation and localization costs. Partners include Crunchyroll, Shueisha, Bandai Namco, Kodansha, and Square Enix. Goal: grow the official global subscriber base from 100M to 300M. Modeled on South Korea's KOCCA strategy — which worked.

The pattern: AI tools are crossing from research labs into your bank, your government's security clearance table, and your anime queue — all at the same time.

🎙 Narration by Charlotte (ElevenLabs)

Google Finance Now Explains Why Your Stocks Moved (+ Grok Video in 25s, Adobe Inside ChatGPT) | AI News Jun 26

danio — Fri, 26 Jun 2026 12:02:35 +0000

Three AI shifts you can actually try right now — not announcements, things you can open and use today.

① Google Finance app gets AI "Key Moments"

Google launched a dedicated Google Finance app on Android, and the headline feature is Key Moments — AI that explains why a stock moved, not just that it did.

You also get plain-language market briefings and AI portfolio analysis built in. Ask it in plain English why a stock jumped, and it briefs you like an analyst. Android first, iPhone coming.

Worth doing: Next time the market moves on something you hold, let it explain the move instead of digging through headlines.

② Grok Imagine Video 1.5 — image to video in ~25 seconds

Remember Grok's narrated video? It just went further. Grok Imagine now turns any still image into a 720p video in about 25 seconds (down from 40s+), with a Director Mode that understands cinematic terms and keeps characters consistent across shots.

Free to start on X. Drop in a photo and see what it does with it.

The read: For anyone making content, that's a promo clip or a thumbnail in the time it takes to read this paragraph.

③ Adobe's editing AI now runs inside ChatGPT, Claude and Gemini

Adobe expanded its Creative Agent so Photoshop-grade edits run from inside ChatGPT, Claude, Copilot, Gemini and Slack. Describe the edit in the same window you're already working in, and it does the multi-step work.

Worth doing: If you live in ChatGPT or Claude, image editing just came to you — no more bouncing between an editor and your AI.

The pattern: AI stopped being a separate destination. It moved inside the apps you already open — your finance app, X, and your AI chat. The capability isn't in some new tool you have to adopt. It's already where you are.

🎙 Narration by Charlotte (ElevenLabs)
📺 Daily AI news for builders: https://youtube.com/@danioff_en

ChatGPT Just Got a Stealth Upgrade — and Engineers Are at a 7-Year Demand High | AI News Jun 25

danio — Thu, 25 Jun 2026 15:16:15 +0000

Three signals worth knowing if you're building with AI right now.

① ChatGPT GPT-5.5 Instant — Silent Upgrade

OpenAI quietly upgraded GPT-5.5 Instant — the default model you're already using on Free and Plus — with no announcement and no update button. It just shipped.

The improvement is most noticeable in decision support and complex instruction-following. Not a new model tier, not a paid upsell. The one you're already on.

Worth doing today: Open chatgpt.com, give it two real options you're weighing with full context, and see how it handles the comparison. That's where the difference shows up most.

② Engineers at 55% of New Tech Hires — A 7-Year High

SignalFire's 2026 State of Talent Report dropped, and the headline goes against the dominant narrative: engineer share of new tech hires is now 55%, up from 46% in 2019.

This is Jevons Paradox playing out in real time. Better AI tools open more problem spaces, and more problem spaces need builders to shape them. Demand compounds when the capability floor rises.

The read: If you were wondering whether to keep building or pause — the macro signal says keep going. Engineers pairing with AI are gaining the most ground, not losing it.

③ Gemini 3.5 Pro Delayed to July

Google confirmed Gemini 3.5 Pro won't launch in June. They need more refinement time on complex task performance.

If you were holding off on workflow decisions until Pro dropped — you have more runway. In the meantime: Gemini 2.5 Flash is fast and available, ChatGPT just improved, Claude Sonnet handles long context well.

The signal: Google won't ship until Pro clears a higher bar. Competition is raising the ceiling for everyone, and that's good for builders.

The Takeaway

Three things shifted this week that most people haven't noticed yet:

The model you're already using got smarter
Engineer demand is at its highest in 7 years
The next big model push is coming in July

Your judgment of which tool to reach for — and when — is the actual skill here.

📺 Full video breakdown:

🎙 Narrated by Charlotte (ElevenLabs) · Built with Claude Code

Real photos in ChatGPT, 30-second AI video, and AI inside A24 — 3 stories that blur "real vs AI" media

danio — Wed, 24 Jun 2026 13:00:00 +0000

Three AI stories landed this week that all poke at the same nerve: the images, video, and films we actually look at are getting an AI layer — and the line between "real" and "AI-made" keeps thinning. Quick rundown in the short, then my take below:

1. ChatGPT will start showing real, licensed photos — not AI fakes. OpenAI signed a multi-year display deal with Getty Images, so licensed photography shows up inside ChatGPT's search and discovery. It's display-only — the photos aren't used to train models. The twist I can't get over: AI image generation had nearly wiped Getty out (stock down ~55% on the year), and this one deal sent the shares up ~145%. The thing AI almost broke got rescued by AI.

2. ByteDance — yes, TikTok's parent — teased Seedance 2.5: a full 30-second video generated in a single shot, no stitching, up to 50 reference inputs, 4K. Most tools still cap out around 5–10 seconds, so "30s native, one pass" is a real jump in how usable the output is. Public launch is early July.

3. Google DeepMind is partnering with A24 on AI filmmaking — a ~$75M, non-exclusive deal to co-build Veo-powered tools. Notably Google gets no access to A24's film library or data. A prestige studio building with AI in the open makes the whole "AI in Hollywood" debate a lot less hypothetical.

As someone building a daily AI-news pipeline on the side, the Getty one is the story I keep chewing on. So much of the "AI vs creators" fight has been framed as scrape-or-die. A display-licensing deal is a third option — pay to show the real thing, instead of generating a confident fake or quietly training on someone's work. I don't know if it scales, but it's the first move in a while that didn't feel zero-sum.

The Seedance + A24 pair points the other way though: generation is getting longer, more controllable, and is walking straight into real production. So we get both at once — more verified real media and more convincing synthetic media, in the same week.

Curious where other builders land: do you think "license and display the real thing" is a viable lane, or does cheap 30-second generation just steamroll it? I genuinely can't call it yet.

Sources: Getty Images newsroom & Engadget (OpenAI display deal); Softonic/Pandaily (ByteDance Seedance 2.5); Variety & Deadline (Google–A24 partnership).

ChatGPT just dropped below half of AI-app users — here's how I split work across the big three

danio — Tue, 23 Jun 2026 13:56:28 +0000

For the first time, ChatGPT fell below 50% of AI-app users — about 46%, per Sensor Tower. Gemini's at ~28%, Claude ~10%.

Before anyone calls it a fall: by web traffic ChatGPT still leads at ~54.7% with 1.1B+ monthly users. It's still #1 overall. What's actually ending is the single-app habit. Quick breakdown of the numbers here:

As someone who builds full-stack and mobile stuff on the side, that shift just matched what had already happened on my own machine. At some point I stopped asking "which AI is best?" and started asking "which one for this task?" Here's the split that stuck for me:

Claude for code — refactors, reading unfamiliar repos, long files. It also has the highest paid-conversion of the majors (~13%), which kind of tracks: people who code all day tend to keep paying.
Gemini for email, search, and anything already in a Google tab — it replaced Google Assistant and is baked into Android/Chrome/Gmail, so it's just there. Zero install friction is underrated.
ChatGPT for general questions and quick drafts — still the default, still the most polished for one-shot stuff.

Why are the others catching up at all? Three things, and none of them are "ChatGPT got worse":

Distribution. Gemini ships inside Google's products. ChatGPT you install yourself. On mobile especially, default-installed wins.
Trust. After OpenAI's US Department of Defense deal, analysts logged a spike in ChatGPT uninstalls and a matching rise in Claude downloads. Some people switch on values, not features.
The question changed. "Best AI" → "best AI for this."

The dev takeaway: routing per task isn't a power-user hack anymore, it's just the normal way to work now. And honestly the competition is the good part — features ship faster and prices keep dropping while three labs fight over the same tab.

How are you splitting yours? I'm curious whether other devs landed on the same Claude-for-code / Gemini-for-glue / ChatGPT-for-general split, or something completely different.

Sources: Sensor Tower (app-user share), Similarweb (web traffic), Reuters Institute Digital News Report 2026.

AI is opening up and locking down at the same time

danio — Mon, 22 Jun 2026 13:00:00 +0000

Three things landed at once, and together they tell a strange story: the tools are getting cheaper and more open, while the most powerful one is getting harder to reach. Here's how I'm reading each as someone who actually ships with these models.

1. Anthropic's top model now wants your passport

A US Commerce Department directive ordered Anthropic to block every foreign national from its strongest models (the Fable 5 / Mythos 5 family). Anthropic can't verify nationality on the fly, so it did the blunt thing: it took the models offline for everyone, worldwide. As of now they're still dark.

The way back, for US users, is a privacy-policy change taking effect July 8: a government-issued photo ID plus a facial-geometry scan (a selfie), verified through a vendor, to prove US citizenship. Foreign nationals stay locked out.

If you saw a "Fable 5 is selectable again" screenshot floating around — that's a stale menu item left behind when the models were pulled. Selecting it errors out or falls back to an older model. It is not a restoration.

Builder takeaway: if any part of your stack assumed always-on access to a single frontier model, this is your reminder to keep a provider abstraction and a fallback model wired in. Geography and policy are now part of your uptime story, not just rate limits.

2. Grok now makes narrated AI video — for free

xAI shipped Grok Imagine Video 1.5. It tops the image-to-video arena, and the headline feature is native synced audio: sound effects and dialogue render in the same pass and actually land on the action, instead of being bolted on after. It's reported at roughly 86 percent cheaper than Sora 2, the free web tier needs no card, and paid video starts around ten dollars a month for short clips.

Builder takeaway: the "make a clip from a prompt" capability is now a free-tier commodity with audio included. If you've been putting off a quick product demo or a social cut because video felt expensive, the floor just dropped. Try it before you architect anything around a paid pipeline.

3. Gemini just undercut ChatGPT on price

Google made Gemini 2.5 Flash the default across Android, Chrome, Gmail, and Docs, and launched a Google AI Plus tier at 4.99 a month — about 75 percent under ChatGPT Plus at twenty. The default-model move matters as much as the price: for a huge number of people, the assistant they'll reach for is now the one already sitting in their phone and browser.

Builder takeaway: "default placement" beats "best benchmark" for reach. If you're choosing a model to recommend to non-technical users, distribution and price are now doing a lot of the deciding for them.

The pattern

Put the three together and you get the tension worth naming: access is being gated, video is being freed, and price is being cut — all in the same week. AI is democratizing at the consumer edge and hardening at the frontier at the same time. As builders, that means cheaper tools to play with, and a frontier that's increasingly wrapped in identity, policy, and geography.

I cover three of these every day for builders. The video version of this one is here:

What's your read — is ID-gating the frontier a one-off, or the shape of things to come?

AI News Top 3 — ChatGPT runs on a schedule, your phone makes AI video, and SpaceX buys Cursor

danio — Thu, 18 Jun 2026 13:00:00 +0000

Three moves worth a builder's attention today.

1. ChatGPT can now run tasks on a schedule

OpenAI added a Scheduled page: create, track, pause, resume, edit, and delete reminders, recurring jobs, and monitoring tasks. It shifts ChatGPT from answering-on-demand to running jobs and watching conditions on its own.

Practical move: wire up one recurring check you keep doing by hand (a daily digest, a status poll) and let it run.

Source: https://help.openai.com/en/articles/6825453-chatgpt-release-notes

2. The June Pixel Drop / Android 17 turns your phone into a creation studio

Gemini Omni creates and edits video from a text prompt.
Lyria 3 generates custom music with your own vocals and tempo.
Conversational Photos editing expands to more devices.

The desktop app is no longer the gatekeeper for generation — a lot of "make me a clip/track" now happens on-device.

Source: https://9to5google.com/2026/06/16/june-2026-pixel-feature-drop/

3. SpaceX is acquiring Cursor for $60B

Elon Musk's SpaceX signed an all-stock deal to buy Anysphere (Cursor) to feed its Grok model and Colossus datacenter. Cursor's market share had slipped to ~26% from ~41%.

The bigger picture for devs: nearly every major AI code editor — Copilot, Claude Code, Codex/Windsurf, Grok Build, Cursor — now sits inside a tech giant. Tabnine is one of the few still independent. Worth thinking about lock-in and where your daily editor's incentives point.

Source: https://www.cnbc.com/2026/06/16/spacex-spcx-cursor-acquisition-ipo.html

Watch the 2-minute version: https://www.youtube.com/shorts/ahqxHExCSSw

Filtered for builders — daily. Follow for the next one.

The AI reality check: feeds are flooded, agents are costly, buyers are cooling

danio — Wed, 17 Jun 2026 13:00:00 +0000

If you build with AI, three stories this week rhyme into one theme: the hype is colliding with the bill. Here's the builder's read on each — and what I'd actually do about it.

1. Most of a new TikTok feed is now AI slop

A Kapwing study reported by Tubefilter hand-checked 10,742 videos across 20 categories and found that 59% of what a brand-new TikTok account sees is AI-generated. Kids content was the worst — 57% slop, with the #CartoonKids tag hitting 97% — and TikTok serves roughly 3x more slop than YouTube.

Why builders should care: generation is now free and infinite, so volume is worthless as a moat. The scarce thing is taste and verification. If your product or content can be faked by a feed of bots, it will be. Polish, point of view, and "a human clearly did this" are the new differentiators.

2. Databricks grew 80% — but agents are eating its margins

Per CNBC, Databricks' annualized revenue jumped about 80% to ~$6.9B, and its AI products now bring in $1.7B (up from $1.4B). The catch: the CEO says gross margin "will go lower" as customers run more agents.

Why builders should care: this is the quiet tax of agentic software. An agent that loops, retries, and calls tools burns far more tokens than a single API call. If you're shipping agents, budget for inference at scale, not the sticker price on the pricing page. Profitability now lives in prompt efficiency, caching, and knowing when not to call the model.

3. 60% of US consumers are turned off by "AI" branding

A WordPress VIP survey of 2,000 people, covered by TechCrunch, found that 60% reject "AI" in brand messaging, while 86% still want to check the original sources behind a claim.

Why builders should care: "Now with AI!" is starting to read like a warning label. Sell the outcome, not the technology — "2x faster," "fewer errors," "your data stays private" — and cite where your results come from. Trust is becoming a feature you ship, not a slogan you bolt on.

The takeaway

Feeds are flooded, agents are costly, and buyers are cooling on the word itself. The edge for builders is work that's human-crafted, efficient, and quietly AI — you use the models hard, and you let the result do the talking.

🎥 I cover three AI stories like these every day in ~2 minutes for builders: AI News Top 3 on YouTube · @danioff_en

Capital burns, robots hit the floor, jobs split — 3 AI stories for builders (June 16)

danio — Tue, 16 Jun 2026 13:00:00 +0000

Three stories crossed my feed today and they line up into one arc: the money behind AI, the machines it's moving into, and what it's doing to jobs. Here's the builder's-eye view.

1. OpenAI spent $34B and made just $13B

The Financial Times verified OpenAI's audited 2025 financials ahead of its IPO: about $34B spent (roughly $19B on R&D, nearly $6B on sales and marketing) against about $13B in revenue. The headline net loss was ~$39B — but ~$30B of that was a one-off, non-cash charge, so the real operating loss was closer to $8B.

Why it matters if you ship on these APIs: the low per-token prices we all build on are being subsidized by investor money. That's great for your margins today, but it's not a law of nature. If your unit economics only work at current API pricing, model out what happens if it climbs — and keep an open model in your back pocket.

Source: Reuters/FT via Investing.com · Ed Zitron's analysis

2. Humanoid robots hit mass production

Figure's humanoids finished an 11-month pilot at BMW's Spartanburg plant — over 90,000 parts handled, contributing to 30,000+ vehicles built. Figure 03 is now ramping production and being evaluated for BMW's European plants, while Boston Dynamics started shipping its electric Atlas to Hyundai.

The interesting shift for builders: physical AI is moving from "cool demo" to repeatable production deployment. The software stack around these robots (perception, planning, fleet orchestration) is the same agent-and-tooling problem many of us already work on — just with a body attached. Worth watching where the SDKs land.

Source: Figure — production at BMW · BMW Group

3. AI's job impact is uneven — cuts AND hiring

2026 tech layoffs passed 142,000. But OpenAI's Sam Altman says the "jobs apocalypse" he expected hasn't arrived ("delighted to be wrong"), and firms that actually adopt AI tools are hiring more. Gartner found ~80% of execs cut headcount to fund AI — yet augmenting staff tends to beat replacing them.

The takeaway I keep coming back to: the split isn't "AI vs. humans," it's people who use AI vs. people who don't. As a builder, the leverage is in being the one who ships faster with these tools, not the one waiting to be automated.

Source: Time · Euronews

I run a small daily AI-news channel and write these up as I go — still figuring out the workflow, so feedback's welcome. If short daily recaps are useful, the video version is embedded above.

Closed labs are tightening up while open models flood in — 3 AI stories for builders (June 15)

danio — Mon, 15 Jun 2026 13:00:00 +0000

Three things crossed my feed today, and together they tell one story: the big closed labs are getting squeezed, while open, self-hostable options keep piling on. Here's the builder's-eye view.

1. 42 states just subpoenaed ChatGPT's maker

A coalition of 42 state attorneys general (led by New York's Letitia James) served OpenAI a subpoena. They want records on advertising, user retention, personal and health data, how ChatGPT treats minors and seniors, and the model's tendency toward sycophancy — just agreeing with the user.

It landed days after OpenAI's confidential IPO filing. For those of us shipping on top of ChatGPT, the signal is simple: expect tighter data and safety rules on consumer-facing AI, and more scrutiny of how your app handles vulnerable users.

Source: CNBC · The Next Web

2. Claude Sonnet 4 and Opus 4 retire

Anthropic is retiring Claude Sonnet 4 and Opus 4 (Opus 4.1 is already deprecated and retires soon). If your app is pinned to those old model IDs, calls start failing — so repin to a current model now.

This follows Claude Code and the Agent SDK moving to a separate paid credit pool. If you build on Claude, both changes are worth a quick audit of your config and your billing.

Source: Anthropic — Model deprecations

3. Chinese open-weight models are flooding in

Six competitive open-weight releases shipped in about two weeks — Qwen 3.7, DeepSeek V4.1, Hunyuan Large 3, ERNIE 5.1, Doubao Pro and GLM-6. DeepSeek V4.1 Flash topped Hugging Face's trending list within a week.

While the closed labs tighten access, free and self-hostable options keep stacking up. If you've been renewing a closed plan on autopilot, it's a good moment to actually test an open model on your workload.

Source: Hugging Face trending — Presenc AI

I run a small daily AI-news channel and write these up as I go — still figuring out the workflow, so feedback welcome. If short daily recaps are useful, the video version is embedded above.