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OpenAI is starting to roll out ChatGPT for Teens globally today (August 18, full availability in Australia expected September 8) to Free and paid personal accounts, switching it on automatically when the system estimates someone is under 18 or they state their age is between 13 and 17 - ChatGPT for Teens bundles teen onboarding, Study Mode, quizzes and learning visualizations, responsible homework reminders that redirect shortcut attempts to Study Mode, Study Hours, break reminders and sensitive image upload reminders - Protections are on by default and based on the Under-18 Principles in the Model Spec, covering self-harm, violence, eating disorders, dangerous activities and explicit sexual or graphic content, and parents with linked accounts can set quiet hours, manage selected settings and get safety notifications (now including eating disorder notifications) without reading conversations OpenAI also updated the Model Spec today with clearer principles on relational interactions for teens (ChatGPT should not use romantic language, encourage emotional dependence or imply it has feelings or consciousness), is adding under-18 evaluations to system cards, and announced a partnership with CodeAI on AI education for students and educators
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Shoes on, get up in the morn' Cup of milk, let's rock and roll - Dynamite🎶🥛🎶 #JK#
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BREAKING: The US and China have agreed to extend their trade deal until January 10th, 2027. “I don’t know whether a bigger deal can be done. I don’t know whether we will just roll the current deal,” US Treasury Secretary Bessent said.
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OpenAI released GPT-6 Sol and Luna with API prices cut in half, and Anthropic released Claude Opus 5.5, the first Claude 5.5 model, at roughly Fable 5.1 level for 40% less than Opus 5, with Sonnet 5.5 and Haiku 5.5 announced for the coming weeks - GPT-6 Sol and Luna are trained like Astra (still the top model), cost 50% less than GPT-5.6 promotional pricing ($2/$10 and $0.10/$0.50 per million tokens), get 90% off cached input reads plus cache-safe effort and tool toggles, write shorter and clearer, show fewer misleading claims about coding work, and roll out gradually today in ChatGPT Work (not yet in Chat), Codex and the API for paid users, Luna in the desktop app for Free and Go - Opus 5.5 costs $4/$20 per million tokens with $0.20 cache reads, $2/$10 batch and $8/$40 fast mode, outputs over 30% faster than Opus 5, writes clearer, thinks more per turn, reads charts and screenshots better, keeps zero data retention and adds EU AI Act watermarking - Anthropic is raising the 5-hour usage limits on Pro, Max, Team and seat-based Enterprise plans and giving subscribers a rate limit reset they can save and use whenever they choose, similar to the banked resets OpenAI previously added to Codex - Opus 5.5 scores best on Anthropic's behavioral audit and gets Fable 5.1-class safeguards - offensive cyber work falls back to Opus 4.8, dual-use biology and a small set of frontier LLM development tasks (like kernel development for certain ML accelerators) fall back to Opus 5
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Everyone owning $MU is trying to answer one question: Do record memory prices mean the cycle is about to roll over? (Save this) The case for no starts with NVDA evaluating 33% less HBM for its next architecture. They would not redesign around a part that is abundant! Next, Memory spend currently at ~33% of total AI data center spend is expect to head to ~50% next year. Also, the Moonshots clip below explains why supply-side is paranoid about oversupply from past boom-bust cycles. Which is why they are likely to not overbuild and also sign LTAs with floor prices. However, there is one scenario (among others) where the memory trade could eventually break. Today, AI repeatedly pulls model weights from memory to generate answers. If those weights become stable enough, you could bake them directly into the chip and remove much of the memory needed. That works best for mature, repetitive workloads where the same model can run for a long time. The tradeoff is flexibility. Once the model is baked into silicon, you cannot simply load the next version onto the same chip (=stranded assets). My view is that 2026-28 is about using less HBM for each job, not eliminating memory. Beyond that, innovation like the described case above could become materials. At Milk Road PRO we have been banging the drum on memory since launching our portfolios in March. We bought the dip recently but also sold some of our AI infra positions. All with live notifications! Come join us before prices increase after Aug 26:
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Regarding claims about Shri Avaneesh Srivastava (App No. 260411198880, Roll No. 2001805051) and his NEET (UG) 2026 OMR answer sheet: NTA has verified the record. The genuine OMR of the candidate is on file. It was also emailed to him at the registered e-mail address during the OMR Response Key challenge window. It bears the candidate’s correct name (Avaneesh Srivastava), the name of his father (Mukesh Kumar) and the name of his mother (Rekha Kumari), his signature and thumb impression, and the signatures of the invigilators. The image being circulated is not an OMR sheet issued by NTA. The identity inserted into that image ("Ajeet Singh, son of Shri Lakhan Singh and Smt. Reena Singh") does not correspond to any candidate registered for NEET (UG) 2026. No candidate by that name and parentage exists in the NEET (UG) 2026 database. The image is a digitally regenerated version of the candidate’s own genuine OMR sheet. The identity fields have been overwritten, and the printed portion of the sheet has been regenerated by AI or OCR-based tools, producing visible errors on portions of the genuine OMR sheet and cannot be altered by any candidate with a pen. The candidate’s own OMR sheet on record has been correctly evaluated. The score of 337 marks is verified and stands as declared. Creating or circulating a forged OMR answer sheet is an offence under the Public Examinations (Prevention of Unfair Means) Act, 2024. More details on the Public Notice dated 20 July 2026:
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5 Early-Stage Names With the Cash to Back Up the Story $ONDS $ABCL $SMR $JOBY $QS $ONDS — The defense and autonomous systems story here has been one of the fastest-scaling in the space, and the balance sheet backs it up. Ondas ended Q2 with roughly $1.4 billion in cash, cash equivalents, restricted cash, and short-term investments, alongside a $757 million backlog that grew 66% sequentially. Revenue is scaling fast too — Q2 came in at $83.8 million, up more than 13x year-over-year, with full-year guidance raised to $525–$550 million. The bear case worth knowing: a chunk of that cash pile has already been earmarked for recent acquisitions (DZYNE, CyberHawk), so the fortress balance sheet is partly a function of equity raises funding a roll-up strategy — worth watching how disciplined that stays. $ABCL — A biotech name with a genuinely clean balance sheet: over $565 million in cash and marketable securities, plus access to roughly $110 million in committed government funding, giving management a stated runway of at least three years. Two new partnerships with Jazz Pharmaceuticals and Vertex added over $110 million in non-dilutive upfront cash this year alone — a good sign that the platform is monetizing without constant capital raises. The lead program, ABCL635, already delivered its Phase 2 catalyst on August 10 — a single dose cut moderate-to-severe hot flash frequency by 83% versus 33% for placebo at week 4, hitting statistical significance with a clean tolerability profile. Next catalyst to watch is ABCL575 Phase 1 data, expected Q4 2026. $JOBY — This is the standout on pure balance sheet strength: roughly $2.3 billion in cash and short-term investments as of the end of Q2. That's real ammunition heading into what's shaping up to be the most important stretch yet — first eVTOL passenger flights targeted for later this year, alongside continued FAA certification progress. The offset: cash burn is heavy, with the company using about $202 million in the quarter, so the runway is strong but not infinite. $SMR — Liquidity here has ballooned to about $1.9 billion in cash, cash equivalents, and investments, up roughly $900 million in a single quarter. Revenue is essentially nonexistent right now (a byproduct of project timing, not demand), so this is a pure binary-catalyst setup — the whole thesis hinges on ENTRA1 closing a definitive agreement with the Tennessee Valley Authority. If that lands, the cash position gives NuScale the ability to execute immediately without needing to raise into a potential re-rate. $QS — Total liquidity of $859 million, split between cash/equivalents and marketable securities, funds continued scaling of the Eagle Line production process and expansion into new verticals including AI data center batteries (QSDC) and defense/aerospace (QSAS). Management has guided full-year Adjusted EBITDA loss of $250–$275 million, so the cash pile is a multi-year runway rather than a war chest for aggressive expansion — still, it removes near-term financing risk while the company works toward commercialisation. each of these names can fund its own roadmap for years without going back to the well, which takes one major risk off the table for early-stage exposure. That doesn't remove execution risk — cash doesn't guarantee contracts, certifications, or clinical data — but it does buy time for the thesis to play out without shareholders getting diluted along the way. Not financial advice.
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FIFA: The Corrupt Double-Standard Machine 1983 Throwback >> Spain needs an 11-goal swing to pip Netherlands for Euro 84. They face Malta in Seville. Malta goalkeeper laughs it off beforehand. Half-time: only 3-1. Then… 9 goals in the second half. Final score: Spain 12-1 Malta. Santillana and Rincón go on rampages. Spain qualifies on goal difference. Netherlands gutted. Obviously a scam arranged game. Rumors of bribes, dodgy refereeing, drugged lemons for Malta players at half-time, and Spanish players foaming at the mouth on steroids. Malta players later called it out. FIFA? Complete silence. No investigation. Business as usual. 2026 repeats the script: Algeria-Austria stoppage-time theater. Sudden 3-3. Both advance. Iran out. Benches erupt. FIFA shrugs. Russia invades Ukraine → banned in days. Israel faces genocide accusations in Gaza → zero ban. Matches roll on. “Geopolitics? Not our problem.” FIFA doesn’t run football. It rigs it. The only real solution? Stop watching. Boycott. No viewers = no cash = no power. Starve the mafia. The beautiful game belongs to fans, not these suits. They only win if we keep tuning in. Unplug.
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